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Semgrep is on a mission to make it expensive to exploit software. As the team behind the most popular SAST, we built the Semgrep AppSec Platform to deliver industry-leading code, dependency, and secrets scanning to enable organizations to ship secure code quickly without slowing down development. With fast, customizable code analysis across large codebases, Semgrep helps teams catch vulnerabilities early and fix them faster. Leading companies like Snowflake, Plaid, Figma, Lyft, and Dropbox rely on Semgrep to secure their software. Semgrep is funded by top investors, including Felicis Ventures, Lightspeed Venture Partners, Menlo Ventures, Redpoint Ventures, and Sequoia Capital. You will be an early member of Semgrep’s data team. Your mission will be to define how an entire company uses data, always striving to best improve our users’ security. You will work on a diverse set of problems, touching every aspect of the startup: extracting product insights from usage metrics, determining business strategy from market data, crafting production data pipelines, and defining where to direct our security research. This is a growth role: while you will start as an individual contributor, you will help grow this team, either by stepping into a management role yourself, or helping us recruit the awesome data-science lead you’ve always wanted. Along the way, you will work with a dedicated group of full-stack, backend, and infrastructure engineers, as well as security researchers and program-analysis developers. You will learn what it means to have “secure-by-default” code. You will meet and collaborate with security-industry scions. And, as a member of our team, you’ll be a part of the decisions that make a high-growth startup successful. Your work will be critical to our mission. Every feature you build will have a measurable impact on our users’ lives. We’re excited to see what you do. • Lead data science at Semgrep; discovering each department’s most pressing data problems, and proactively identifying the most critical areas to focus your efforts, • Bring your wide knowledge of data-science approaches to each problem you solve: the first day you might apply multivariate regression to identify important product features, the second you might apply active-learning techniques to guide data collection and labeling, and the third you might work on an AI algorithm to improve security quality for our users, • Iteratively tackle problems as a series of experiments, proving the value of your work with proof-of-concept to ever more refined results, • Convince your peers of your conclusions with clear data visualizations and well-reasoned explanation, • Help grow your team through the recruitment and hiring of top data talent, • 4+ years of experience in data and strategy fields, • Knowledge of data-science approaches; this may include machine-learning algorithms, optimization methods or symbolic artificial-intelligence, but should also include statistical methods and “good-enough” heuristics — and the taste to know when to use each, • Experience clearly visualizing information and experimental results, • Sufficient familiarity with production data-processing pipelines to construct them working together with generalist infrastructure engineers; tools we use include S3, FiveTran, DBT, Snowflake, Metabase, Retool, Tableau, Sagemaker/JupyterNotebook (Python), • Aptitude delivering technical projects via rapid iterative development, • Excellent, proactive communication, both verbal and written, • Build a client-facing dashboard showing scan time metrics over time, • Build a statistical model that analyzes pseudonymous usage data to recommend the next features built into the Semgrep open-source tool, • Consume infrastructure observation metrics to identify and address potential Semgrep.dev registry outages before they occur, • Recruit varied and disjoint data into a “North Star” metric for the performance of the Semgrep open-source tool over time, • Build out cleaned/medallion Silver and Gold tables for internal engineering teams to, • Craft a security-rule-recommendation decision tree, using codebase features like languages, frameworks, code sentiment, and commit-message sentiment, to deliver targeted, high-value static-analysis rules to users Preference for 2-3 days per week in one of our office locations (SF/NY/Boston/Denver) Salary Range: $133,000 - $181,500 Our compensation package includes equity and benefits in addition to salary. Please note that the range listed is for someone based in the San Francisco Bay Area. Our goal is to competitively and fairly compensate every Semgrep employee with a system that equally rewards those who are vocal and those who are less comfortable making demands during the final steps of the hiring process. To that end, we generate internal compensation bands that are used when discussing and negotiating salaries. We update these based on market data to make sure they’re above the average for comparable roles. We also invest in our employees’ well-being and long term success with comprehensive health plans, generous vacation time, 401k, learning stipends, and more. Our benefits are for everyone, so that you’re taken care of, and we work with individuals to make sure they have what they need, whether that’s quiet work space, adjusted hours, or something else. We have people from France and the Philippines, physics and philosophy, formal methods research and full fledged corporations. We’re new parents and new grads, aspiring authors and aspiring Americans, dog lovers and dogfooders. We get together often to bike, bake, and meet up in parks. In our interactions, we believe respect and honesty go hand in hand, and prioritize both. Semgrep is an equal-opportunity employer seeking a diverse range of backgrounds. We value who you are — including your cultural heritage, your socioeconomic status, your age, your race, your gender, your sexual orientation, your disabilities. We value what’s vitally important to you — your family, your religion, your politics. We value what you love in this world — your music, your weekend pursuits. We believe in welcoming varied professional backgrounds, educations, and interests. If you’re exceptional in your role, believe in Semgrep’s mission, and treat Semgrep’s values as your own, you belong here. Please Note: For US-based roles open to remote work, we are currently able to hire employees in the following states only: Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Illinois, Maryland, Massachusetts, Michigan, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, Oregon, Tennessee, Texas, Virginia, and Washington.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Ads is one of Lyft’s newest and fastest-growing businesses, focused on building the world’s largest transportation media network. Our mission is to help brands reach riders during key moments of their journey—before, during, and after a ride—by delivering meaningful, contextually relevant ad experiences. We operate at the intersection of mobility data, real-time decision systems, and AI-powered personalization, enabling advertisers to run high-impact campaigns with measurable outcomes. We are seeking an Algorithms Scientist to help build the next generation of ads relevance, targeting, optimization, and measurement algorithms that power the Lyft Ads platform. In this role, you will work across large-scale datasets and complex real-time systems to design, prototype, and deploy production-grade machine learning models. You’ll collaborate closely with Engineering, Product, Data Science, and Sales to translate ambiguous business and advertiser needs into rigorous algorithmic solutions that improve ad performance, enhance marketplace efficiency, and drive meaningful revenue growth. This is a high-impact, highly technical role within a rapidly scaling business line. The ideal candidate brings strong applied machine learning intuition, hands-on modeling experience, and the ability to write clean, efficient production code. You will play a critical role in shaping how advertisers connect with Lyft riders—pushing the boundaries of personalization, measurement, and real-time optimization in a dynamic marketplace. • Design, develop, and deploy production-grade machine learning models and algorithms that power core Lyft Ads capabilities, such as ad relevance, targeting, ranking, bid optimization, pacing, campaign delivery, and measurement., • Own the end-to-end lifecycle of modeling projects — including problem definition, data exploration, feature engineering, model development, offline evaluation, deployment, and monitoring., • Collaborate closely with Ads Engineering to integrate models into real-time ad-serving and batch decision systems, ensuring performance across latency, scalability, and reliability constraints., • Analyze large-scale mobility, behavioral, and ads performance datasets to identify patterns, surface opportunities, and guide ML and AI driven product improvements., • Implement rigorous model evaluation frameworks, including offline metrics, statistical tests, calibration, sensitivity analysis, and A/B experimentation to validate both model impact and system-level outcomes., • Build robust training pipelines, feature transformations, and scoring infrastructure, ensuring reproducibility, observability, and long-term maintainability., • Partner with Product, Engineering, and Sales to translate ambiguous advertiser goals (e.g., increased conversions, reach efficiency, brand lift) into measurable requirements and success metrics., • Investigate and resolve model behavior issues, production regressions, calibration drift, and performance anomalies in close partnership with Ads Infra teams., • Drive innovation by staying current with advances in ML for ranking, recommendation, causal inference, optimization, and ads measurement — and proactively identifying opportunities to apply them., • Contribute to Lyft Ads’ modeling and experimentation infrastructure, through model cards, documentation, reproducibility standards, and code quality improvements., • Master’s, or PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, Engineering, or related quantitative fields; or equivalent applied industry experience., • Experience working with large-scale datasets and distributed data tools (Spark, Snowflake, Presto, Databricks)., • Practical experience building and evaluating:, • Ranking and relevance models, • Optimization or pacing algorithms, • Predictive models for CTR, CVR, or user response, • Causal or experimentation-based measurement methods, • Understanding of online/offline evaluation techniques, including:, • Offline metrics (AUC, NDCG, MRR, calibration), • A/B testing methodologies, • Bias correction and counterfactual estimation, • Ability to solve ambiguous problems by structuring analyses, evaluating trade-offs, and proposing algorithmic solutions grounded in scientific rigor., • Strong communication skills, with an ability to clearly explain model behavior, constraints, trade-offs, and recommendations to engineering, product, and sales partners., • Demonstrated ownership of modeling work, including debugging, monitoring, documentation, and iteration after deployment., • Curiosity, initiative, and a track record of delivering measurable improvements through high-quality modeling., • Great medical, dental, and vision insurance options with additional programs available when enrolled, • Mental health benefits, • Family building benefits, • Child care and pet benefits, • 401(k) plan to help save for your future, • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off, • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible, • Subsidized commuter benefits, • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the New York City area is $128,000 - $160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Pomelo Care. In accordance with New York City, Colorado, California, and other applicable laws, Pomelo Care is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Given that this role is open to candidates of different skill levels, determining a salary range is challenging. A reasonable estimate of the current salary range is $180,000 to $210,000. We expect most candidates to fall in the middle of the range. We also believe that your personal needs and preferences should be taken into consideration, so we allow some choice between equity and cash.

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of April 2025, Gauntlet manages risk and incentives covering over $42 billion in customer TVL. Gauntlet continually publishes cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institution — including academic institutions — in terms of peer-reviewed papers addressing DeFi as a subject. We’re a Series B company with around 75 employees, operating remote-first with a home base in New York City. In order to grow our impact in the DeFi space we are looking to hire experienced Data Scientists to help new and established protocols better understand the systems they’ve built. This role will require establishing a strong ability to analyze and interpret data; as well as the ability to collaborate with and manage external clients. You will be working directly with the premier and innovative DeFi protocols and developing expert-level knowledge and experience of the mechanisms that underpin the DeFi industry. Responsabilities * Perform in depth novel research into how to make premier DeFi protocols safer and more efficient through mechanism design, data analysis, and dynamic parameter optimization. * Take ownership of client engagements, scoping out work, managing client relationships, and delivering value to clients through your research and work. * Draft and write engaging research for public consumption both to grow Gauntlet’s Brand as well as to satisfy client requirements * Build and deploy easy-to-understand and visually compelling dashboards for internal and external consumption * 4+ years of professional experience * Extremely clear and effective communication and client management skills * Proven track record of drawing deep insights from complex datasets * Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) * Ability to work independently working towards abstract goals * Experience working with pricing models, financial products and/or different asset classes Bonus points * Experience working in the crypto industry is a big plus. * Enthusiasm for the space, especially DeFi, is very much desired * Experience with derivatives style products * Experience managing external client relationships * Published or presented research in the space Your application has been successfully submitted!

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing. As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, you will collaborate with cross-functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time and develop product offerings to improve the experiences of Lyft Riders and Drivers. • Leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team’s systems and products, • Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context., • Perform exploratory data analysis to gain a deeper understanding of the problem, • Construct and fit statistical, machine learning, or optimization models, • Write production modeling code; collaborate with Software Engineers to implement algorithms in production, • Design and implement both simulated and live traffic experiments, • Analyze experimental and observational data; communicate findings; facilitate launch decisions, • Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes, • Drive collaboration and coordination with cross-functional teams, • M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields, • 2+ years professional experience in a technology company setting, • Proven experience with building and evaluating machine learning models, • Proficiency with Python and working in a production coding environment, • Passion for solving unstructured and non-standard mathematical problems, • End-to-end experience with data, including querying, aggregation, analysis, and visualization, • Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem, • Great medical, dental, and vision insurance options with additional programs available when enrolled, • Mental health benefits, • Family building benefits, • Child care and pet benefits, • 401(k) plan to help save for your future, • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off, • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible, • Subsidized commuter benefits, • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the New York City area is $128,000 -$160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

We are looking for a Data Scientist to join the Business Analytics team at Spotify. In this role, you’ll shape Spotify’s performance marketing and growth strategy by developing models, designing experiments and measuring the impact of marketing investments. Partnering with the Growth Analytics Lead, you’ll turn data into strategies that guide budget allocation, optimize spend and accelerate efficient growth across paid media channels. You’ll collaborate with a global, cross-functional team of analysts, data scientists, marketers, business leaders, and engineers to scale insights and drive efficient growth. Learning and improving is part of our daily routine, and you will get a platform to develop your data skills and carve out efficient ways of working. The Business Analytics team is part of Spotify’s core business strategy organization. You’ll play a crucial role in the growth and direction of Spotify as we grow to 700M+ users around the globe. At your fingertips, you’ll have access to all of the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio! • Develop data-driven strategies to drive the growth of Spotify users and subscribers, with a focus on performance marketing, • Refine attribution practices and define robust, data-backed methods to measure the incremental impact of marketing spend, • Partner with third-party advertising platforms and agencies to design and implement comprehensive experiments and lift studies, • Contribute to annual and quarterly planning through impact forecasting, budget allocation and scenario modelling, • Build scalable data pipelines and dashboards to track marketing efficiency and Global business performance, • Collaborate closely with business partners to understand growth drivers and guide strategic marketing decisions, • Present insights and recommendations to senior stakeholders, influencing the course of our business, • 3+ years synthesizing insights from data using tools such as Python/R and SQL, • Hands-on experience supporting marketing organizations with their paid media strategy, including running and analyzing incrementality tests on platforms like Meta, Google and TikTok, • Proven experience building advanced models to understand and optimise paid media campaigns, • Skilled at collaborating with business partners to measure the impact of marketing initiatives and presenting those findings in coherent recommendations, • Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the data, • Have a background in Computer Science, Statistics, Engineering or other relevant field, • Comfortable working on a globally distributed team (with occasional international travel), • This role is based in New York

Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Pomelo Care. In accordance with New York City, Colorado, California, and other applicable laws, Pomelo Care is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Given that this role is open to candidates of different skill levels, determining a salary range is challenging. A reasonable estimate of the current salary range is $220,000 to $260,000. We expect most candidates to fall in the middle of the range. We also believe that your personal needs and preferences should be taken into consideration, so we allow some choice between equity and cash.

permanent Position: Data Scientist Company Overview: Florvets Structures is a leading construction company specializing in the design and construction of innovative and sustainable structures. We are committed to delivering high-quality projects that exceed our clients' expectations and contribute to the betterment of communities. Job Overview: We are seeking a highly skilled and experienced Data Scientist to join our team. As a Data Scientist at Florvets Structures, you will be responsible for analyzing complex data sets to identify patterns, trends, and insights that will inform our business decisions. You will work closely with our project managers, engineers, and other team members to develop data-driven solutions that will improve our processes and drive business growth. Key Responsibilities: • Collect, organize, and analyze large and complex data sets from various sources, • Develop and implement data models and algorithms to extract insights and create predictive models, • Identify patterns and trends in data and communicate findings to relevant stakeholders, • Collaborate with project managers and engineers to develop data-driven solutions that improve project efficiency and quality, • Develop and maintain data dashboards and reports for tracking project performance and identifying areas for improvement, • Stay up-to-date with industry trends and advancements in data science and bring new ideas and techniques to the team, • Ensure data integrity and security by following best practices and implementing necessary protocols, • Present findings and recommendations to senior management and other stakeholders in a clear and concise manner Qualifications: • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field, • Minimum of 3 years of experience as a Data Scientist or in a similar role, • Strong proficiency in data analysis and statistical modeling, • Proficiency in programming languages such as Python, R, and SQL, • Experience with data visualization tools such as Tableau or Power BI, • Knowledge of machine learning techniques and algorithms, • Excellent communication and presentation skills, • Strong problem-solving and critical thinking abilities, • Ability to work independently and in a team environment, • Experience in the construction industry is a plus Why Join Florvets Structures: • Opportunity to work on innovative and sustainable projects, • Collaborative and supportive work environment, • Competitive salary and benefits package, • Career growth and development opportunities, • Make a positive impact on communities through your work If you are a highly motivated and skilled Data Scientist looking to join a dynamic and growing company, we encourage you to apply for this exciting opportunity at Florvets Structures. We look forward to hearing from you! Health Insurance Workers Compensation

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on ___ and ___, and discover the projects we’re solving on our ___. Be sure to explore our ___ to learn how to ace our interview process. Platforms & Services is responsible for the central services and systems that empower both Twitch users directly as well as the product engineers across Twitch who build experiences for them. You will be part of a team of data scientists who focus on providing deep product and user insights that drive engineering roadmaps, priorities, and investments. You will partner closely with product managers, engineering leaders, and engineers to build deep product expertise and will become a critical voice in the development and delivery of some of Twitch’s most critical central services. You can work in San Francisco, CA; Irvine, CA; New York, NY; or Seattle, WA. • Collaborate with product, engineering, and operations teams to design durable systems that support all of Twitch, • Tackle ambiguous, high-impact problems by defining analytical approaches grounded in statistics, computer science, and deep domain expertise—driving clarity, innovation, and durable solutions at scale, • Become a key thought partner in shaping builder experiences, providing data-backed insights to support higher-quality and more efficient experiences for builders across Twitch, • Foster a culture of analytical rigor, clear communication, and shared accountability for impact across cross-functional teams., • Maintain a customer-centric focus while being a domain and product expert through data, develop trust amongst peers and stakeholders, and ensure that the teams and programs are empowered and enabled to take data-driven actions, • Prioritize and execute in the face of ambiguity, work with stakeholders and mentors to distill the problem, adapt tools to answer complicated questions, and identify the trade-offs between speed and quality of different approaches, • Create analytical frameworks to measure team success by partnering with cross-functional teams to define success metrics, create approaches to track the data and troubleshoot errors, quantify and evaluate the data to develop a common language for all colleagues to understand these metrics and KPIs, • Operationalize data processes in order to provide stakeholders with ad-hoc analysis, automated dashboards, and self-service reporting tools so that everyone gets a good sense of the state of the business, • 6+ years of domain experience in a consumer internet business or high-velocity, high-growth product/business unit, demonstrating progressive responsibility, • Expert SQL skills with proven ability to leverage complex data pipelines for actionable insights and drive significant business results, • Advanced proficiency in data analysis techniques, including time series analysis, A/B testing, data visualization, and KPI strategy development for business optimization, • Exceptional written and verbal communication skills, with a talent for translating complex data into clear, actionable recommendations, • Strong business acumen and strategic thinking, with proven ability to prioritize effectively and adapt quickly in fast-paced environments, • Track record of building and maintaining strong relationships across teams while mentoring others and establishing best practices, • Demonstrated leadership in spearheading large-scale projects that require both extensive business knowledge and technical expertise, • Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Data Science, Business Analytics, or related discipline), • Experience mentoring team members and driving the creation of best practices within the organization, • Passion about online communities, games, and Twitch, • Experience working with software development and operational event data, • Experience with machine learning methods such as logistic regression, decision trees, and neural networks, • Medical, Dental, Vision & Disability Insurance, • 401(k), • Maternity & Parental Leave, • Flexible PTO, • Amazon Employee Discount Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Job ID: TW8936 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit ___. Applicants should apply via our internal or external career site. US Pay Per Year $143,300 - $247,600 USD Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Twitch values your privacy. Please consult our ___, for information about how we collect, use, and disclose personal information of our candidates.

Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Pomelo Care. In accordance with New York City, Colorado, California, and other applicable laws, Pomelo Care is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Given that this role is open to candidates of different skill levels, determining a salary range is challenging. A reasonable estimate of the current salary range is $140,000 to $160,000. We expect most candidates to fall in the middle of the range. We also believe that your personal needs and preferences should be taken into consideration, so we allow some choice between equity and cash.

Graphite builds consumer-quality tools for modern software engineering teams, so they can ship faster and create amazing products. Our product Graphite is modern code review for fast-moving teams - we help engineers write and review smaller pull requests, stay unblocked, and ship faster. Anyone can start using Graphite individually without needing their coworkers to change tools - we seamlessly sync code changes and reviews. We started Graphite because we missed internal code review tools like Phabricator (at Facebook) and Critique (Google) that help engineers create, approve, and ship small, incremental changes, and long-term we’re passionate about creating products & workflows that help fast-moving eng teams achieve more. Our company We’re a small-but-mighty team of 70+ based in Manhattan’s Soho, now expanding with a new office in San Francisco. Our passionate and rapidly growing user base includes top engineering teams at companies like Datadog, Vercel, Ramp, and Snowflake. We've raised a $52mil Series B (___) led by ___, following a previous $20mil Series A from ___ at Andreessen Horowitz (who led GitHub's Series A). Other investors include folks like ___ (founder of GitHub), ___ (Planetscale CEO & ex-GitHub CTO), ___ (creator of React), and ___. Our culture centers on putting people first, applying science and craft, practicing disciplined ambition, and giving ownership - both literally (with equity) and in the responsibility and scope you’ll have as a part of our early team. Outside of work you’ll find us brewing espresso drinks, producing music, or practicing yoga. We can’t wait to see what you’ll add to the mix! About the Role Graphite is growing rapidly, and we're looking for a data scientist to support product direction and growth. What you’ll do Analyze our data (10TB) and help us answer data-driven questions; Design, develop and deploy data models, algorithms, and tools to support data analysis and visualization; Build and maintain a scalable data pipeline that collects, processes and stores data from various sources, ensuring data accuracy, reliability, and availability. Currently we're based on DBT + Segment + Redshift; Collaborate with software engineers, data scientists, and product managers to ensure data-driven decision making across the organization; Perform exploratory data analysis and statistical modeling to identify insights and trends that drive product and business decisions; Develop and implement data quality and data governance standards to ensure data accuracy and consistency; Work with stakeholders to understand their data needs and translate them into technical requirements; Stay up-to-date with the latest technologies, trends, and best practices in data engineering, data science, and analytics, and recommend new solutions and approaches that can benefit the company. What we’re looking for Bachelor’s or Master’s degree in Computer Science, Data Science, or related field; At least 4 years of experience in data engineering, with a focus on building scalable data pipelines and data models; Strong programming skills in SQL; Experience with cloud platforms such as AWS, GCP, or Azure, and their respective data services (e.g., S3, Redshift, BigQuery); Experience with data visualization tools such as Tableau, Looker, or Power BI; Strong problem-solving and analytical skills, with experience in statistical modeling; Excellent communication skills and ability to work collaboratively with cross-functional teams; and Self-starter with the ability to work independently in a fast-paced startup environment. Life at Graphite * Competitive comp: ($160-200k base + substantial equity). We're backed by some of the best investors and excited to offer competitive compensation packages. * Role trajectory. We're excited to build a team whose responsibilities and comp to grow as we do. * Benefits. Top-tier health, dental, and vision coverage and 16 weeks paid parental leave. * Time to decompress. We ask that our team take 4 weeks of vacation a year to unplug and unwind. * Relocation expenses. We're an in-person, NYC/SF-based team, and we're happy to help with your relocation expenses! * The team that eats together. Company-paid lunch, snacks, and coffee during workdays. * Commuter perks. Ride around NYC on us! As a team, we're very aware of the systemic structural issues that have created inequalities for many communities, especially in the tech industry. We recognize that women and underrepresented minorities are statistically less likely to apply for a role that they feel unqualified for. If you are interested in this role but you’re concerned about not meeting all requirements, we encourage you to apply anyway - we'd love to get to know you and see if there's a place for you here at Graphite!

Tandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have: * Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every week and is doubling physician user count every month. We will reach millions by 2025. * An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time. * Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators. Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster. All full-time roles are in person in New York. You can learn more about working with us in the last section of this page. As a Data Scientist on our team, you will not only define and predict our company’s core metrics, you will drive them. This is a role of immense range, stretching from developing advanced analytical models to owning end-to-end strategic project implementation. Your work will be hyper cross-functional, sometimes driving forward technical projects in partnership with an engineer, other times leading an operations workstream. You will also engage directly with Fortune 100 customers to understand their needs and present on Tandem’s performance and relevant insights. This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Tandem's success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you. * Drive strategic projects that require deep data analysis, with accountability for end-to-end execution and business outcomes – this may include: * Sourcing and using industry and market data to shape Tandem’s go-to-market and growth strategy * Leveraging our internal workflow data to predict operational throughput and bottlenecks and prioritize new workflow automations as we scale * Prototyping new modeling approaches to AI problems (e.g., outcome prediction and optimization for insurance-related processes) in collaboration with our Engineering team * Building out a unified user interaction model to define Tandem’s consumer and provider product roadmaps * Create and rapidly iterate on externally facing data products for Tandem’s key partners and actively participate in priority client engagements * Establish Tandem’s core data sources and metrics to empower everyone on the team to answer complex questions about Tandem’s business in real-time * Work directly with our CEO and leadership team as a critical partner in making business decisions as we balance speed of growth and long-term profitability * Advanced degree in a quantitative field or 2+ years of work experience in an analytics-heavy, business-focused role * Strong technical background with exceptional ability to do data analysis using SQL and Python, as well as pick up new tools on the fly * Comfort with zooming in and out of problems, jumping between high-level thinking and granular methods of problem-solving * Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationships * Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals * High ___ with your former teammates This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply. Tandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles: * Commit to audacity. "Whether you think you can, or you think you can't – you're right.” * Do the math. Be rigorous, assume nothing. * Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose. * Spit it out. Be direct, invite critique, avoid equivocation – we want right answers. * Be demanding and supportive. Expect excellence from everyone and offer help to achieve it. * Do what it takes to be number 1. We work hard to make sure we win. We provide competitive compensation with meaningful equity. Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay. We also provide rich benefits to ensure you can focus on creating impact: * Fully covered medical, vision, and dental insurance. * Memberships for One Medical, Talkspace, Teladoc, and Kindbody. * Unlimited paid time off (PTO) and 16 weeks of parental leave. * 401K plan setup, FSA option, commuter benefits, and DashPass. * Lunch at the office every day and Dinner at the office after 7 pm. Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity.

Public is the long-term investing platform. Investors use AI and a vast variety of asset classes, from stocks and bonds to crypto and options, to build portfolios for the long haul. Launched in 2019, Public has been trusted with billions in assets of affluent investors. Headquartered in New York City, it’s raised over $400M from investors like Accel and Tiger Global. We’re looking for a Senior Data Analyst / Analytics Engineer to join our data team and help build a strong foundation for decision-making across the company. In this role, you'll work across a wide range of product and business domains—from understanding user behavior and product performance to improving data pipelines and enabling self-serve analytics. You’ll work closely with cross-functional stakeholders in Product, Engineering, Finance, and Brokerage to turn data into actionable insights and improve how we operate at scale. We’re seeking someone who is curious, business-minded, and deeply technical—comfortable writing production-grade SQL, building robust data models, and performing advanced analysis to support high-impact decisions. Experience in consumer fintech or high-growth tech environments is a plus. This role is based out of our New York City office and is onsite Mon-Thurs. • Build trusted, scalable data models that serve as the foundation for analytics and reporting across the company, • Partner with stakeholders across product, design, engineering, brokerage, and finance to uncover insights and support strategic initiatives, • Develop clear reporting and dashboards to drive performance visibility and accountability across teams, • Conduct in-depth analyses to evaluate feature usage, business performance, and customer behavior, • Design, analyze, and interpret A/B tests and other experiments to support data-driven product decisions, • Own key data pipelines and contribute to the overall health and architecture of our data analytics stack, including peer code reviews, • Explore and implement use cases for AI and large language models (LLMs) to improve how teams access and generate insights from data, • 5–7 years of experience in data roles such as Data Analyst, Analytics Engineer, or Data Scientist, • Experience at a high-growth consumer fintech / investing platform, • Expert SQL techniques for data transformation, querying, and optimization, • Familiarity with Python or another scripting language for data analysis and automation, • Strong understanding of modern data architecture (data lake/warehouse) and experience working with modern data stack tools such as dbt, Snowflake, Airflow, Fivetran, Looker, Hightouch, or similar, • Strong business acumen and the ability to translate complex data into clear recommendations, • A focus on impact - you don’t stop with just recommendations but ensure to see work through to changing the business and driving enterprise value, • Strong communicator who can collaborate effectively with technical and non-technical stakeholders, • Organized, detail-oriented, and able to manage multiple priorities in a fast-paced environment, • Bonus: Experience using AI/LLM tools to enable faster, smarter analytics workflows Public is an equal employment opportunity employer to all employees and applicants for employment and prohibits discrimination and harassment of any type. We celebrate people of all race, color, religion, age, sex, national origin, disability status, genetics, veteran status, sexual orientation, gender identity, or expression. The compensation range for this role is $145k-$195k based on skills and experience.

The Role We are seeking a talented individual to join the Data Science team. The data science team is responsible for creating high-impact analytical datasets, conducting deep-dive research to extract systematic features, and generating forecasts that power our investment strategies. What you’ll do As a Data Scientist, you will partner with market data specialists, data engineers, and sector data analysts to ingest, clean, and explore new data sources, building a comprehensive understanding of each dataset and its potential applications. You will collaborate closely with portfolio manager teams to derive insights from complex datasets and translate them into systematic features that feed the alpha‑generation process. Additionally, you will leverage your domain expertise to produce curated data products across multiple financial asset classes to standardize research, conduct quantitative analysis to generate ideas, and validate hypotheses through back‑testing. The ideal candidate is passionate about data science methodologies, thrives in a collaborative environment, and possesses a strong interest in financial markets. What you’ll bring What you need: • 5+ years exp in data science, quantitative research, or related discipline, • Advanced knowledge of Python, SQL, or other programming languages, • Proven experience in conducting quantitative analysis using statistical and machine learning packages, • Deep understanding of feature engineering, model training, evaluation, and deployment, • Knowledge of financial asset classes such as equity, futures, and fixed Income, • Attention to detail and strong communication skills, • Master’s or PhD degree in a quantitative field such as data science, statistics and financial engineering We’d love if you had: • Experience conducting data analysis on complex financial datasets, such as alternative data and market micro-structure datasets, • Knowledge in programming languages such as C++ and Java, • Experience in designing, building and testing systematic signals, • Experience working with big data analysis, • Experience with any of the following technologies: Spark, Kafka, Docker, Airflow Who we are Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income. Our Culture At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls. The base pay for this role is expected to be between $185k and $225k. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

Novellia is the first and only company that lets anyone in the US gain access to nearly a decade of their health data in under 30 seconds, 100% free. All your health records, across doctors, all in one place, always up to date. We work with the world's top researchers to safely turn health insights into life-changing action for millions of people across the world. Novellia is the only patient-powered real world data platform delivering comprehensive, patient-authorized longitudinal health insights to accelerate biopharma innovation. Unlike traditional RWD providers who provide fragmented institutional data, we empower patients to access 15+ years of their health records for free, then transform these complete health journeys into fit-for-purpose datasets for evidence generation, regulatory submissions, and market access. We're growing 5x YoY with top pharma partners, our data have been published with leading scientific organizations such as ASCO and SABCS/AACR, and are backed by tier-1 investors including Spark Capital, Khosla Ventures, Bling Capital, and more. We are looking for a Data Scientist to build and lead our commercial data science function from the ground up. This is a unique opportunity to define how a healthcare data company delivers world-class data and analytics solutions to biopharma clients while simultaneously building the internal data solutions that power our operations. This role is first and foremost, client-facing. You will be the analytics voice to our clients, joining weekly meetings to present patient recruitment metrics, growth trends, and study insights. You'll field questions about our solutions, respond to ad-hoc analytical requests, and build trusted relationships with biopharma stakeholders who rely on your expertise to make critical decisions. Beyond client delivery, you'll have the opportunity to build industry-defining data solutions working hand-in-hand with our solutions management and engineering teams. You'll design the analytics infrastructure that doesn't yet exist and create the frameworks that will scale with us. You will report directly to the Chief Customer Officer and be accountable for all client-facing metrics, analytics deliverables, and the strategic evolution of our commercial data science capabilities. We're a growing team tackling complex problems in healthcare data. We move quickly, prioritize impact, and take pride in doing things right. The truth is: this is a demanding job. It requires focus, urgency, and deep client accountability. If you're looking for a predictable environment with clear boundaries, this isn't the right fit. But if you want to build something from scratch, take real ownership of client relationships worth millions, and see your analytics directly shape biopharma research decisions—you'll find the challenge deeply rewarding. Client-Facing Analytics Leadership (70%) * Join weekly client meetings with biopharma partners to present patient recruitment metrics, enrollment trends, data quality insights, and study progress * Serve as the primary analytics point of contact for client inquiries, responding to questions about our data, methodologies, and analytical capabilities * Build meaningful relationships with biopharma stakeholders including medical affairs, clinical operations, and real-world evidence teams * Translate complex analytical findings into clear, actionable insights tailored to biopharma decision-makers * Proactively identify opportunities to deliver additional value through analytics and communicate these to clients Internal Analytics & Solutions Development (30%) * Design and build internal analytics solutions that improve how we serve clients—dashboards, reporting frameworks, and data quality monitoring systems * Partner closely with the solutions management team to translate client needs into product requirements and technical specifications * Collaborate with the data and engineering teams to develop scalable data pipelines and transforms that power both client deliverables and internal operations * Create and maintain the analytics infrastructure that will become the foundation of Novellia's commercial offerings * Drive data quality initiatives to ensure accuracy and reliability across all client-facing analytics Strategic Impact * Define best practices for research-grade analytics delivery in the real-world evidence space * Contribute to business development efforts by articulating our analytical capabilities to prospective clients * Identify patterns across client engagements that inform product development and company strategy * You thrive in client-facing environments. You're energized by presenting to stakeholders, answering tough questions on the fly, and building relationships through consistent delivery of excellent work. * You're a self-starter who builds solutions, not just analyses. You don't wait for perfect requirements—you identify needs, design solutions, and drive them to completion. * You're comfortable being hands-on with code and clients on the same day. You can write SQL and Python in the morning and present insights to biopharma executives in the afternoon. * You embrace AI tooling to augment your work. You actively use AI assistants to write faster, analyze smarter, and deliver more—you see them as force multipliers, not threats. * You want to define a function, not inherit one. You're excited to build processes, frameworks, and standards that will outlast your tenure. * You care deeply about data quality. In healthcare, accuracy isn't optional—you take pride in getting details right. Experience & Expertise * 5-8 years of experience in data science or analytics, with at least 3 years in a client-facing or consulting capacity * Deep proficiency with data analytics tools: SQL, Python, Snowflake, BigQuery, Redshift * Strong command of data visualization tools (e.g. Metabase, Looker) and ability to design and implement dashboards for non-technical audiences * Experience building analytics solutions from scratch—data models, pipelines, reporting frameworks, and dashboards * Proven track record of translating ambiguous business questions into concrete analytical approaches and deliverables Communication & Relationship Building * Exceptional ability to present complex analytical insights to diverse audiences, from software engineers to C-suite biopharma executives * Demonstrated success building trusted relationships with external stakeholders through consistent, high-quality delivery * Comfortable managing competing priorities from multiple clients while maintaining quality and responsiveness Technical Strength as an IC * Strong individual contributor who can design and build solutions independently * Familiarity with advanced analytics techniques including statistical modeling, machine learning fundamentals, and predictive analytics * Ability to evaluate data quality, identify issues, and implement monitoring systems * Experience working with healthcare data (EHR, claims, registry data) is a strong plus but not required Mindset & Work Style * Self-directed and resourceful—you identify problems and solve them without waiting for direction * Comfortable with ambiguity and rapid change in a growing company environment * Proven ability to manage competing priorities in fast-paced environments * Experience using AI tools (ChatGPT, Claude, Copilot, Cursor, etc.) to enhance productivity and accelerate delivery

We're transforming the trillion-dollar world of in-person sales by capturing and analyzing a never-before-digitized dataset: face-to-face conversations. While the tech world obsesses over digital interactions, most of our economy still runs on millions of in-person sales and service conversations happening daily across the U.S. Unlike Zoom calls, these conversations weren't historically recorded – leaving petabytes of rich data untapped. Until now. Companies in hundreds of industries rely on frontline salesforces working in-person, yet they've operated with zero visibility into these critical customer interactions. Meanwhile, sales productivity follows a stark Pareto distribution – the vast majority of commissions accumulate to a small percentage of top performers, leaving millions of salespeople struggling to achieve financial freedom. With Siro, we're democratizing sales excellence. Our customers see their reps closing up to 40% more deals, all while gaining unprecedented insights from field conversations. We've built an intelligence platform that captures, processes, and derives actionable insights from in-person sales and service conversations. Our customers span diverse industries – home improvement, home services (HVAC, plumbing), retail, B2B distribution, insurance, hospitality, and more. With over $75M in backing from world-class investors, we're on a mission to make field sales the most accessible path to financial freedom. Our product is already making waves - 4.8 stars on the App Store (700+ ratings), 5.0 stars on G2 (25 reviews), and partnerships with industry leaders like ServiceTitan (NASDAQ: TTAN). We're looking for a pioneering Data Scientist. This role combines classical data science with cutting-edge LLM applications, sitting at the intersection of business intelligence, experimentation, and AI-powered product features. This role will build the data foundation that empowers Siro teams to make confident decisions -from Product launching AI-powered features, to Sales identifying winning patterns, to Customer Success driving adoption. Your work will unlock insights that directly accelerate growth and shape our product strategy. If you're excited about turning raw data into actionable insights and shaping the future of a high-growth AI-first company, this is the role for you. * Partner with multiple functions to understand customer behavior, visualize usage trends, and identify opportunities * Develop and optimize product analytics infrastructure and dashboards for internal and external stakeholders * Contribute to weekly and quarterly business reviews for strategic accounts * Explore customer sales conversation data to extract insights via LLM-based and traditional analysis methods * Communicate ad hoc insights to external customers * Implement LLM evaluations * Own data quality in our databases * Establish data quality standards and monitoring * Identify improvements needed and work with Engineering to implement * Adoption rate of data products, internal and customer-facing * Impact on product development velocity and decision quality * Quality and reliability of AI-powered insights * % of product decisions backed by quantitative data * 3-5 years of experience in data science, ML/AI, or related field * Strong foundation in statistics and experimental design * Expertise in Python, SQL, and data pipeline development * Experience with business intelligence and visualization tools (e.g., Looker, Metabase, Tableau) * Experience working with structured and unstructured data * Strong problem-solving skills with a business-focused approach * Excellent communication skills * Familiarity with LLMs * Data Infrastructure: Google Cloud Platform (GCP), BigQuery, Postgres * BI/Analytics: Mixpanel, Explo * Languages: Python, SQL * Version Control: Git * LLM Frameworks: Anthropic, OpenAI, Google LangChain * Data Science & ML Libraries: pandas, scikit-learn * NLP Tools: Hugging Face * Experience with Node.js/TypeScript * Background in conversation AI or natural language processing * Product-minded data scientist who balances rigorous analysis with practical impact * Strong communicator who can translate complex concepts for various audiences * Self-directed learner excited about emerging AI technologies * Collaborative team player who thrives in a fast-paced environment * Passionate about using data to improve human performance and outcomes At Siro, we are committed to creating a diverse and inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Pinterest is the world’s leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. At Pinterest, Shopping is a strategic initiative that aims to help Pinners take action by surfacing the most relevant content, at the right time, in the best user-friendly way. We do this through a combination of innovative product interfaces, and sophisticated recommendation systems. We are looking for a Staff Data Scientist with experience in machine learning and causal inference to help advance Shopping at Pinterest. In your role you will develop methods and models to explain why certain content is being promoted (or not) for a Pinner. You will work in a highly collaborative and cross-functional environment, and be responsible for partnering with Product Managers and Machine Learning Engineers. You are expected to develop a deep understanding of our recommendation system, and generate insights and robust methodologies to answer the "why". The results of your work will influence our development teams, and drive product innovation. What you’ll do: • Ensure that our recommendation systems produce trustworthy, high-quality outputs to maximize our Pinner’s shopping experience., • Develop robust frameworks, combining online and offline methods, to comprehensively understand the outputs of our recommendations., • Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners., • Work cross-functionally to build relationships, proactively communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest., • Relentlessly focus on impact, whether through influencing product strategy, advancing our north star metrics, or improving a critical process., • Mentor and up-level junior data scientists on the team. What we’re looking for: • 7+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data., • Strong interest and experience in recommendation systems and causal inference., • Strong quantitative programming (Python/R) and data manipulation skills (SQL/Spark)., • Ability to work independently and drive your own projects., • Excellent written and communication skills, and able to explain learnings to both technical and non-technical partners., • A team player eager to partner with cross-functional partners to quickly turn insights into actions., • Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-REMOTE #LI-NM4

This position is posted by Jobgether on behalf of Boosted.ai. We are currently looking for a Data Scientist in New York (USA). We are seeking a Data Scientist to transform complex data into actionable insights that drive strategic decisions and enhance business outcomes. In this role, you will own the end-to-end data workflow, from building robust data infrastructure and pipelines to running experiments and delivering clear analyses. You will empower teams with self-serve analytics, champion a data-driven culture, and contribute to improving products and processes across the organization. This position offers the chance to work in a fast-growing, innovative environment alongside top-tier talent and cutting-edge financial technology tools. · Drive strategic insights by analyzing data and providing actionable recommendations for go-to-market strategies and product development. · Translate complex findings into clear, understandable insights for both technical and non-technical stakeholders. · Build and scale data infrastructure, including pipelines, transformation, and orchestration processes to ensure accurate and timely data delivery. · Develop self-serve analytics platforms that empower teams to access and leverage data effectively. · Design and run experiments to test hypotheses, measure impact, and support continuous improvement in products and processes. · Establish and promote best practices for data usage and foster a culture of data-driven decision-making across teams. · 4+ years of professional experience in data science or related fields. · Expert-level proficiency in SQL and Python or R. · Strong understanding of statistical methods and machine learning techniques. · Experience with data transformation and orchestration tools. · Proven ability to communicate data insights effectively through storytelling and visualization. · Strong analytical mindset with the ability to manage multiple projects in a fast-paced environment. · Experience in financial technology, investment, or analytics environments is a plus. · Competitive base salary: $155,000–$210,000, plus discretionary bonus program and equity participation. · Flexible, unlimited paid time off. · Comprehensive medical, dental, and vision benefits for employees and families. · Life insurance and disability benefits. · 401(k) retirement savings plan (U.S. employees). · Paid parental leave. · Access to proprietary tools and platforms to enhance professional growth. · Flexible remote work options combined with in-person collaboration opportunities. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. As a Senior Data Scientist in Delivery, you are an experienced problem solver and technical leader who is passionate about building practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embeds cutting edge AI models into tools that are useful and used. You've consistently tackled difficult problems that require strong foundations in data driven modelling and deep learning techniques, with extensive hands-on experience in probabilistic methods and predictive modelling. Your expertise in python, along with advanced proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with proven ability to architect and deploy scalable, production-ready models and data pipelines. With 3-5 years of industry experience (post Masters of PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about growing both your technical expertise and leadership skills, naturally taking ownership of complex data science work streams and guiding teams to success. You continuously improve the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. In this senior role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving, while providing technical leadership to your team. You'll build the foundations for successful, impactful solutions by: • Leading pre-processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team., • Architecting and developing innovative deep learning models in combination with state-of-the-art optimization methods to predict and control the behaviour of physical systems., • Taking full responsibility for the quality, accuracy and impact of your work and the work of your team., • Designing, building, and testing data pipelines that are reliable, scalable, and robustlyeasily deployable in production environments., • Leading cross-functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations., • Driving internal R&D and product development, helping to refine models and identify new areas of application., • Mentoring junior team members and providing technical guidance to help them grow., • Leading open communication and presentations with both technical teams and customers, helping onboard users and co-develop with customers., • Representing PhysicsX as a technical authority when traveling to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you'll collaborate closely with customers to build solutions on site. As a senior member of the team, you'll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader. Please note, this role is based in Manhattan, NYC, working 2-3 days per week in our office. Our delivery teams drive innovation to turn AI models into practical solutions - ___ • Equity options – share in our success and growth., • 5% 401(k) match – invest in your future., • Flexible working – balance your work and life in a way that works for you., • Hybrid setup – enjoy our Manhattan office while keeping remote flexibility., • Enhanced parental leave – support for life’s biggest milestones., • Private healthcare – comprehensive coverage for you and your family., • Personal development – access learning and training to help you grow., • Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones. We believe diversity fuels innovation, and we're building a culture where everyone belongs. We're proud to be an equal opportunity employer, welcoming talent of all backgrounds, identities, and experiences. Changing the face of tech takes action, which is why we actively encourage individuals from historically underrepresented groups to apply. Salary Range $120,000 - 240,000 depending on experience Relocation bonus Equity Share options Seniority will be assessed throughout our interview process We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

About Lab49:Lab49 is a global consultancy specializing in designing and building next-generation digital products for leading investment banks, asset managers, hedge funds, and fintech innovators. We bring together strategy, design, and engineering to help our clients transform their businesses and stay ahead of the curve in a rapidly evolving landscape. The RoleWe are seeking a Lead Data Scientist to join our team and drive advanced data science solutions for one of our clients. This is a client-facing leadership role, blending deep technical expertise with the ability to advise stakeholders, shape data strategies, and guide teams to deliver high-impact outcomes.You’ll work on cutting-edge problems in data analytics, machine learning, and predictive modeling, helping the client unlock the value of their data and enhance decision-making capabilities. • Partner with stakeholders to define data science opportunities, shape problem statements, and deliver impactful solutions., • Lead end-to-end data science projects—from exploration and modeling to deployment and performance monitoring., • Mentor and guide a team of data scientists and data engineers; set best practices for modeling, experimentation, and validation., • Design and implement predictive models, optimization frameworks, and machine learning algorithms tailored to complex business use cases., • Develop and present compelling visualizations to convey complex data relationships through clear and insightful static graphics., • Communicate complex technical concepts clearly to senior stakeholders, clients, and non-technical audiences., • Collaborate with Lab49’s design and engineering teams to embed data science models into scalable digital products., • Stay ahead of industry trends, research, and emerging technologies in AI/ML, with a focus on practical business applications., • 8+ years of experience in data science, including at least 2–3 years in a lead/principal role., • Strong background in applied machine learning, statistical modeling, and predictive analytics., • Proficiency in Python (Pandas, NumPy, Scikit-learn, Matplotlib, PyTorch/TensorFlow) and SQL; experience with big data tools (Spark, Databricks) is a plus., • Strong understanding of model deployment, MLOps practices, and productionizing ML solutions., • Proven ability to create effective data visualizations for storytelling and decision support., • Excellent client-facing skills, with the ability to communicate technical concepts and business impact., • Master’s or Ph.D. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field., • Some fluency in blockchain and smart contract analytics.Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business.Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.

Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in machine learning research as well as highly experienced technology and finance professionals. The people who shape our company come from other backgrounds, too, including concert music performance, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. The Voleon Group is forming a new team to help advance our data-driven investment initiatives. As a Data Scientist, you will be responsible for harvesting insights from a complex array of data. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and executive leadership. This role is a means to make a difference: as a machine learning company, data insights are essential to our business. \n Responsibilities • Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds, • Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders, • Perform extemporaneous analyses on research and production trading systems with leadership, • Harness financial expertise and statistical analysis to gain actionable insights into our production trading and research systems, • Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring Requirements • 1+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization, • Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions, • Ability to frame and answer questions mathematically, • Ability to infer useful forward-looking directions from results of retrospective analysis, • Fluency in managing, processing, and visualizing tabular data using a combination of SQL, Pandas, and R, • Basic software development skills and experience with bash, linux/unix, and git, • Ability to refine requirements from ambiguous requests to produce reports demonstrating excellence in communication, • Bachelor’s degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field) Preferred • Master’s degree in a quantitative discipline, • Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships, • Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, git, Airflow \n Compensation The base salary range for this position is $150,000 to $190,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this _______________ Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. Vaccination Requirement The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID-19 vaccine. This policy also applies to remote employees, as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon’s ongoing efforts to ensure the safety and well-being of our employees and community, and to support public health efforts. #LI-MD1

The Financial Crime Data Scientist combines investigative expertise with advanced data science techniques to identify, assess, and mitigate financial risks, fraud, and emerging cyber-enabled threats. This role will analyze transactional, behavioral, and device-level signals; detect indicators of compromise; identify anomalous activity; and support intelligence integration into Appgate’s Fraud security products. The analyst will collaborate closely with internal product teams and other external intelligence sources to track financial crime patterns (e.g., ransomware operators, malware families, account takeover trends, money mule networks) and translate insights into predictive models, detection rules, and automated workflows. This candidate bridges fraud investigation, data analysis, and technical implementation while working cross-functionally with Product, Engineering, Risk, Marketing, and Operations. Responsibilities Fraud & Threat Intelligence • Conduct in-depth investigations into financial crime activity, including transaction fraud, account compromise, synthetic identity, malware-enabled fraud, and ransomware monetization patterns., • Monitor intelligence feeds for emerging threat actors, TTPs, botnet activity, phishing kits, malware variants, and monetization schemes., • Collect, clean, engineer, and analyze large datasets using Python, SQL, and cloud-based data platforms., • Perform statistical analysis, clustering, anomaly detection, and supervised/unsupervised machine learning to improve predictive fraud scoring., • Build and maintain analytical data pipelines with engineers using tools such as Airflow, dbt, Spark, or similar., • Automate data ingestion (APIs, logs, intelligence feeds, enrichment sources) for ongoing fraud monitoring., • Translate fraud intelligence into actionable requirements for product and engineering teams (e.g., detection rules, model features, new risk signals)., • Collaborate with marketing and customer-facing teams to prepare intelligence briefs, threat summaries, and fraud trend reports., • Maintain strict confidentiality and follow handling protocols for sensitive data, PII, and regulated financial information., • Stay current on fraud trends, sanctions, AML regulations, and industry standards. Required Qualifications • Bachelors/Masters degree in Data Science, Applied Statistics, Digital Forensics, Financial Engineering, Criminology, Computer Science, Cybersecurity, or relevant field; or equivalent experience., • 1–3+ years in fraud detection, threat intelligence, financial crime investigations, cyber threat analysis, or risk operations., • Strong proficiency in:, • SQL for data extraction and manipulation, • Python (pandas, NumPy, scikit-learn) for data analysis, • Data visualization tools (Tableau, Power BI, Looker, etc.), • Familiarity with machine learning concepts, anomaly detection, statistics, and predictive modeling., • Experience with fraud platforms, case management systems, device intelligence, or behavioral analytics systems., • Demonstrated investigative mindset with excellent documentation and communication skills. Preferred / Nice-to-Have Technical Skills • Experience with big data technologies (Spark, Databricks, Snowflake)., • Knowledge of fraud-specific data sources: device fingerprinting, behavioral biometrics, geolocation, IP intelligence, OSINT, malware intel feeds., • Familiarity with malware families, attack chains, and cyber threat intelligence frameworks such as MITRE ATT&CK., • Exposure to API-based integrations, data enrichment pipelines, and log analysis., • Understanding of risk scoring systems, rules engines, or real-time decisioning platforms., • Experience with AML, KYC, BSA, sanctions screening, or cryptocurrency tracing tools. Key Competencies • Analytical and critical thinking, • Statistical and machine learning literacy, • Effective communication and storytelling with data, • Investigative rigor and attention to detail, • Cross-functional collaboration, • Integrity and confidentiality, • Strong problem-solving and decision-making skills Appgate is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. In furtherance of Appgate’s policy regarding affirmative action and equal employment opportunity, Appgate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company’s EEO Coordinator.

Fundwell is a modern business financing platform redefining how small and medium-sized businesses access capital. We deliver fast, trusted funding solutions through a combination of cutting-edge technology and personalized service. We are on a mission to help businesses thrive by simplifying and accelerating the financing process. We're seeking an exceptional Lead Data Scientist to drive AI/ML innovation within our Technology team. In this role, you'll architect and deploy advanced AI/ML systems while mentoring a team of data scientists and shaping our data science strategy. You'll partner closely with Product and Revenue leadership to transform our core business through intelligent automation, predictive insights, and data-driven decision-making. * Lead the design, development, and deployment of production-grade machine learning models that automate and optimize critical underwriting processes, delivering measurable business impact * Conduct sophisticated exploratory data analysis and statistical modeling to uncover high-value opportunities across underwriting and customer operations * Analyze complex, multi-modal datasets—including financial records, commercial data, alternative data sources, and temporal patterns—to extract actionable intelligence and improve model performance * Develop automated monitoring systems to continuously track model accuracy, fairness, drift, and regulatory compliance * Collaborate with Engineering teams to integrate ML models into production systems, enabling autonomous real-time decision-making at scale * Evaluate and implement the optimal statistical and modeling approaches—from traditional techniques like logistic regression and segmentation to modern deep learning architectures—based on problem requirements * Champion a culture of experimentation, innovation, and continuous learning within the data science organization * Deep expertise analyzing diverse data types—financial, commercial, behavioral, demographic, telephonic—across various formats including structured, unstructured, time series, and real-time streaming data * Strong command of the complete ML lifecycle from problem formulation through production deployment, monitoring, and iteration * Proficiency with modern ML frameworks, cloud platforms, and MLOps tools for building scalable AI systems * Proven track record selecting and applying advanced statistical and ML techniques—classification, regression, clustering, ensemble methods, neural networks—to drive business outcomes * Ability to balance technical sophistication with pragmatic delivery, knowing when to leverage state-of-the-art methods versus proven approaches * Strong business acumen with demonstrated ability to connect data science initiatives to revenue growth, cost reduction, and strategic objectives Why Join Fundwell * Generous paid time off * 401(k) retirement plan * Opportunities for professional growth and advancement within a rapidly growing fintech leader. * Collaborative, supportive team culture with a focus on training and development. * Prime office location in New York, NY. Our Commitment to You Fundwell is an equal employment opportunity employer. We adhere to a policy of making employment decisions without regard to age, race, color, creed, religion, political affiliation, gender, sexual orientation, sexual identification, ancestry, national origin, citizenship, marital status, domestic or civil union partnership status, disability or handicap, veteran or military status (e.g. National Guard or Reserves).

___ is building the future of open-ended interactions between people and intelligent agents. This requires rethinking design, user interfaces, and interactions from first principles. We are seeking a talented and creative Data Scientist to join our team and play a pivotal role in shaping the user experience of our AI entertainment products. As a Data Scientist, you will collaborate closely with Product cross-functional teams to design innovative, user-centered solutions that delight and inspire our customers. The ideal candidate will have a deep understanding of safety metrics and online harms derived from user-centric data, a strong portfolio showcasing their craft, and a passion for pushing the boundaries of what's possible with AI. We are seeking a highly skilled and experienced Data Scientist with a strong background in trust & safety in consumer products to help scale ___ into its next era. You will work to support our Safety team across a number of product areas, with a major focus on our two-side ecosystem of Creators and Users that together create the Characters and experiences that power the platform. * Have 7+ years of experience at data science leadership at chat, social media, or UGC product companies * Have 2+ years of experience as a data scientist supporting the trust & safety function * Have a strong intuition for choosing the right questions to ask and quickly driving to key insights * Excel at turning findings into actionable next steps and working with engineering to execute * Enjoy leaning into high velocity experimentation * Are capable of standing up ___'s data science efforts, including the tools and systems that you will need to work effectively as we scale * Ecosystems data science or B2C/C2C marketplace experience ___ empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit ___ every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.

The mission of the Bureau of Tuberculosis Control (BTBC) is to prevent the spread of tuberculosis and to eliminate it as a public health problem in New York City. The goals to achieve this mission are twofold: 1) To identify all individuals with suspected or confirmed TB disease and ensure appropriate treatment; 2) ensure that individuals at high risk for progression from Infection to TB disease are identified and treated for TB infection and non-developed TB disease. DUTIES WILL INCLUDE BUT NOT BE LIMITED TO: The office of Training & Outreach is seeking to fill the role of Data Analyst. This role would collect, clean and analyze data for the training and outreach offices. The selected candidate will be responsible for creating data visualizations for reporting and working on the technical side of the data management and the office's webpages. DUTIES WILL INCLUDE BUT NOT BE LIMITED TO: Conduct quantitative data collection, entry, and analysis related to outreach activities and produce data visualizations based on data Track outreach efforts and metrics, such as the number of individuals reached and educational materials distributed, as part of BTBC Core Activity of Reporting and Surveillance Conduct ad-hoc analyses and research to provide additional analytic support as needed to inform outreach and training planning efforts Analyze the collected data in the agency's partner management system, Public Health Partners Connect (PHPC), a Salesforce application and the TB surveillance system, MavenTB Conduct qualitative data collection, and code data and outcomes for reporting Generate reports on outreach outcomes and community engagement metrics Manage TB Coalition webpage and measure engagement metrics Use data to inform future outreach strategies to target priority populations and apply for grant funding Assists with data requests for medical talks to create slide decks. Assist with data for provider education events, such as TB Coalition meetings and the annual medical conference Track training metrics and trends for BTBC and BPHC-TB staff Enhance data management systems utilized for training Organize & analyze training data collection for reporting Conduct basic data presentation for the Bureau Preferred Skills: Excellent interpersonal skills At least one year of responsibility in data analysis and generating reports and visualization. Knowledge of basic data management, analysis, outreach and reporting methods. Excellent organizational, and written and oral communication. Participate in special projects as needed and perform other duties as assigned. Ability to work offsite at locations throughout the five boroughs, on weekends and/or evenings, as needed. Why you should work for us: • Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home., • Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work. Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise. Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers! The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at ___ or 347-396-6549. CITY RESEARCH SCIENTIST - 21744 2. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or, 3. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or, 4. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

SENIOR DATA SCIENTIST DART PROGRAM POSTED:9/3/2025 ABOUT CJA The New York City Criminal Justice Agency (CJA) is a not-for-profit service and research organization that operates in partnership with the New York City Mayor’s Office of Criminal Justice. CJA is the City’s main pretrial services agency, combining operations, pilot projects, and research under one roof. CJA utilizes procedural justice practices to provide pretrial services to over 100,000 arrested annually in New York City. Information collected about these arrestees and subsequent case processing is maintained in the agency’s internal and externally shared database systems, which are used to conduct descriptive and evaluation research on arrestee characteristics, case processing and court outcomes, and on issues and potential reforms to criminal justice policy in New York City. CJA’s programs operate in the criminal courts and detention facilities 24 hours a day seven days a week within the 5 boroughs of NYC, employing over 300 employees, citywide. PROGRAM SUMMARY DART – We lead research and analytics that turn CJA’s unparalleled justice system data into insights that drive policy and practice. Drawing on over 100,000 annual face-to-face interviews and comprehensive data feeds from police, courts, and corrections, we analyze complex trends, evaluate emerging policies, and apply causal techniques to assess the impact of policy and applied interventions. Through rigorous analysis, compelling visualizations, and impactful publications, we illuminate the workings of New York City’s justice system and advance new lines of inquiry to shape a fairer, more effective system. POSITION SUMMARY As a Senior Data Scientist, you will deliver advanced analytics that drive policy and practice. You’ll combine expertise in causal inference—including RCTs and quasi-experimental methods—with policy relevant data analysis, predictive modeling, and modern machine learning techniques. You’ll collaborate with DART and IT staff to build pipelines and scalable workflows, conduct exploratory and statistical analyses, and translate complex findings into intuitive and actionable products—policy briefs, interactive dashboards, and applied ML tools. You’ll collaborate with a supportive team to drive projects from scoping through delivery. PRIMARY RESPONSIBILITIES • Analytics & Data Science – Conduct exploratory data analysis and build descriptive and predictive models to support policy and practice. Create reproducible workflows in Python, R, and SQL, and maintain well-documented Jupyter Notebooks. Develop dashboards, visualizations, and data tools to make analyses accessible to technical and non-technical stakeholders., • Causal Research & Evaluation – Design and oversee rigorous causal studies, including RCTs and quasi-experimental designs. Define evaluation frameworks, identify appropriate counterfactuals, and ensure methodological rigor in estimating policy and operational impacts. Conduct power and sample size calculations to optimize the design of RCTs and quasi-experimental studies. Translate findings from causal analyses into actionable recommendations that inform policy and practice., • Research Dissemination and Communication – Deliver policy briefs, presentations, and interactive dashboards that translate complex findings into actionable, decision-ready evidence., • Partner with city agencies, nonprofits, and justice system stakeholders to scope projects and align research with operational needs. Support public and stakeholder engagement by presenting results at conferences, policy forums, and cross-agency working groups. QUALIFICATIONS • Experience: 5+ years of experience in applied data science, analytics, or research roles, ideally in policy or civic tech. A strong portfolio of self-directed analytic work is expected. Experience in the justice system is a plus., • Education: A postgraduate degree (Master’s or PhD) in statistics, economics, data science, computational social science, or a related quantitative field., • Technical Expertise: • Strong proficiency in Python or R for data manipulation, analysis, and modeling (Python preferred)., • Experience conducting causal inference and advanced econometric analyses, including RCTs, DiD, IV, ITS, matching, and synthetic control., • Advanced statistical techniques and modern machine learning methods for predictive modeling., • Experience working with relational databases (e.g. Microsoft SQL, PostgreSQL) and writing complex SQL queries., • Expertise in data wrangling and cleaning, including handling messy, incomplete, or complex administrative datasets, • Proven ability to translate complex analyses into clear, actionable insights for technical and non-technical stakeholders., • Experience integrating external data from APIs and common data formats like JSON, CSV, and Parquet, • Strong data storytelling skills, with experience creating or supporting compelling visualizations, dashboards, and policy briefs., • Proficiency with Jupyter Notebooks for data exploration, analysis, and presentation of results., • Familiarity with building reproducible pipelines and version-controlled workflows (Git/GitHub, CI/CD). • Problem-solving skills: Ability to multitask and adapt to a fast-paced environment working with urgency on requests/situations that require a quick turnaround. Work collaboratively to identify and troubleshoot technical problems and find solutions., • Proven ability to collaborate with complex stakeholder relationships as well as technical and nontechnical staff., • Exceptional communication skills: A positive attitude and a customer-oriented approach are required as well as the ability to communicate clearly and effectively at all organizational levels and with stakeholders that are both highly technical and non-technical., • Problem-solving skills: Ability to multitask and adapt to a fast-paced environment working with urgency on requests/situations that require a quick turnaround. Work collaboratively to identify and troubleshoot technical problems and find solutions., • Mission Oriented: Committed to CJA’s mission and values of commitment, fairness and innovation. LOCATION: Lower Manhattan HOURS: Hybrid work schedule- 3 days a week in office/2 days work from home SALARY: Up to $140K yearly *Internal applicants must be 1 year in their current roles and in good standing (no disciplinary action within the last 90 days) to apply. BENEFITS: CJA offers a very generous benefit plan including health, dental and vision insurance, a comprehensive mental health and wellness (EAP) plan, four weeks’ vacation, paid holidays and a retirement plan with employer matching contributions. CJA is also strongly committed to professional learning and development for its staff members and offers staff varied opportunities for learning and development through partnerships and vendor services for web based, in-person professional development training, as well as in-house job training and development. Only those candidates being considered will be contacted. CJA is seeking applicants who pursue professional development pathways by participating in educational opportunities, reading professional publications, maintaining professional networks, and engaging with professional associations The New York City Criminal Justice Agency is an Equal Opportunity Employer CJA is committed to creating a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, national origin, sex, gender identity, religion, sexual orientation, age, disability, parental status, veteran status, or any other protected status under applicable laws. We encourage individuals of all backgrounds to apply.

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. As a Senior Data Scientist in our Compliance Technology & Data Strategy function, you will play a key role in shaping our approach to governance, independent validation, and continuous improvement of our financial crime compliance (FCC) systems and data platforms. You will lead the design, testing, validation, and monitoring of advanced models and data pipelines that support our transaction monitoring (TM), customer risk rating (CRR), and watchlist screening engines across both fiat and crypto ecosystems. You will work hands-on with large, complex datasets, building and validating rule-based and ML-enhanced models, developing new typology detection logic, and ensuring our systems remain robust and defensible in an evolving regulatory landscape. This is a highly technical, cross-functional role requiring strong programming, data engineering, and advanced analytics skills, along with an understanding of FCC domain risks. You’ll partner closely with Compliance, Product, Engineering, and Risk teams to modernize our compliance technology stack, drive improvements in data pipelines and model explainability, and integrate cutting-edge blockchain intelligence and cross-chain analytics tools. Your work will directly impact our ability to detect and mitigate financial crime risks, meet regulatory expectations, and deliver trusted insights across our global operations. * Design, test, and independently validate rule-based and machine learning models for transaction monitoring, customer risk scoring, sanctions and watchlist screening, and typology detection for both fiat and crypto transactions * Build and optimize scalable data pipelines integrating blockchain analytics, on-chain and off-chain transaction data, and third-party intelligence tools to enhance risk detection * Develop and execute robust testing strategies to assess model fitness, typology coverage, Type I and Type II error rates, and regulatory defensibility * Design strategies to automate monitoring frameworks for model performance, data quality, and risk typology drift; implement advanced analytics to detect anomalies and continuously tune models * Lead the development and execution of comprehensive metrics and data reporting frameworks, ensuring the accuracy, consistency, and timeliness of key risk indicators, model performance metrics, and regulatory reporting requirements across all FCC models * Build reproducible and production-ready notebooks, scripts, and workflows following best practices in version control, code testing, and documentation * Leverage advanced anomaly detection techniques, clustering, and graph analytics to identify emerging financial crime typologies across large multi-source datasets * Conduct deep-dive data investigations, develop new detection typologies, and translate FCC risk scenarios into effective, explainable models and analytics * Partner with Product and Engineering to drive enhancements to compliance data architecture, including streaming pipelines, data integrations, and advanced analytics capabilities * Lead remediation of data quality and model coverage gaps by executing data audits and root cause analysis; maintain thorough documentation and audit trails for regulatory readiness * Deploy containerized data science workflows and collaborate with engineering teams to integrate models seamlessly into production environments (e.g., using Docker, Kubernetes, or cloud pipelines) * Contribute to developing reusable data science tools, libraries, or model templates that improve the speed and consistency of future compliance analytics work * Stay current on regulatory expectations and industry best practices for model governance, validation, and development (NYDFS, FATF, HKMA, MAS, FCA, etc.) * Produce clear, actionable reports and data visualizations to communicate findings to technical and non-technical stakeholders * Proactively research and experiment with new open-source tools and techniques that could enhance our FCC model governance and analytics capability * 7+ years of hands-on experience in data science, machine learning, or advanced analytics, ideally in the FCC, AML, KYC, or fraud detection domain * Proven experience building and validating data models using programming languages such as Python, SQL, Java, R, or similar * Strong skills in data engineering, large-scale data pipelines, ETL/ELT processes, and streaming analytics (Spark, Kafka, Snowflake, or equivalent) * Familiarity with blockchain analytics tools (e.g., Chainalysis, TRM Labs, Elliptic) and understanding of on-chain transaction monitoring is highly desirable * Experience with building, tuning, and monitoring rule-based and ML models for financial crime detection, risk scoring, or sanctions screening * Solid background in building and maintaining scalable data pipelines, streaming analytics, and working with large, complex datasets * Experience deploying models into production environments, working with containerization (e.g., Docker, Kubernetes) and cloud data tools * Solid understanding of typology detection, false positive/negative tuning, and regulatory model validation expectations * Strong background in data visualization and reporting using BI tools (Tableau, Looker, Power BI, or similar) * Excellent communication skills to present complex technical findings and recommendations to diverse stakeholders * Proven ability to work independently in a fast-paced, cross-functional environment * Competitive total compensation package * L&D programs and Education subsidy for employees' growth and development * Various team building programs and company events * Comprehensive healthcare schemes for employees and dependants * More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. * The salary range for this position is $143,000- $214,000 (this band is applicable to CA/NY/NJ residents and is adjusted for all other US states) * The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-JC4 Notice: All official OKX vacancies are posted on this site. We are not affiliated with other third-party job boards except ___, listings on other sites may be inaccurate or outdated. This is the only source of truth for applications. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's ___.

Summary: PLEASE NOTE - This is NOT a technical role for a Data Analyst, Data Scientist or someone with an IT background. Candidates MUST have experience in the Market Data realm and be able to administer Market Data contracts. Please read the description before you apply The Market Data Analyst at S4 Market Data will oversee client projects and be responsible for the overall service delivery of our managed services with respective clients. This position will manage market data service inquiries and projects from clients as well as manage a market data administrator within the projects to ensure administrative tasks are being completed in an accurate and timely manner. The ideal candidate will have market data vendor management and administrative experience; sourcing and negotiating contracts, managing procurement/sourcing requests throughout the spend life cycle, speaking with internal business units and stakeholders (legal, finance, IT, etc.) to procure goods/services for our clients. The candidate needs to be located in the US, this is a fully remote position. Responsibilities: • Handle day-to-day demand management or vendor management and administrative inquiries from internal business units, including but not limited to; data/sourcing requests, contract negotiation, entitlement administration, exchange reporting, moves/adds/changes requests, inventory management, procurement/legal approval, expense allocation, invoices reconciliation, and spend reporting., • Interact with the client’s various internal stakeholders and business units; technology, legal, accounting/finance, human resources, and investment managers., • Oversee the inventory management process of leavers/joiners, ensure current inventory is accurate and up-to-date. Oversee the reconciliation invoices and validation of monthly allocations/expenses., • Conduct monthly/quarterly exchange reporting and ensure exchange policies and data compliance across the client’s end-users and applications. Administer their datafeeds (EMRS, DACS, Etc.), • Review spend and enact cost savings and avoidance initiatives. Provide respective business units with an overview for their costs; understand their products/services and respond to any inquires as needed. Maintain reports on costs and identify ways to consolidate spend., • Bachelor’s degree in MIS, Business, or related degree and 3-5 years of relevant experience in financial services or market data. Relevant work experience in consulting is preferred., • Experience working with Market Data vendors such as Bloomberg, FactSet, Exchanges (NYSE, ICE, etc.)., • Knowledge of FITS and MDSL inventory systems is preferred., • Excellent communication and project management skills and experience in working closely with internal client business units and senior stakeholders., • An entrepreneurial and self-regulating mind-set. Display a high level of time management skills to manage multiple and elaborate requests simultaneously., • Have high energy and be a self-starter with the ability to work independently and as part of a team.

Voleon is a technology company that applies state-of-the-art machine-learning techniques to real-world problems in finance. We have led our industry for over a decade and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in machine learning research as well as highly experienced technology and finance professionals. The people who shape our company come from other backgrounds, including concert music performance, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. Founded in 2007 by two leading scientists (see ___ Voleon supports a culture of curiosity and creativity. We do not silo our teams, and you will enjoy a healthy work-life balance while tackling complex problems in a collegial environment. This role makes a difference: as a machine learning company, data insights are essential to our business. Over the last few years, the Voleon Group has formed a new team to help advance our data-driven investment initiatives. As a Senior Data Scientist, you will be responsible for harvesting insights from a complex array of data and mentoring the efforts of more junior Data Scientists doing the same. Your role will involve designing systems and directing technical efforts in data curation, analysis, interpretation, and visualization, as well as communicating your findings to members of the research staff and executive leadership. This role is a means to make a difference: as a machine learning company, data insights are essential to our business. \n Responsibilities • Work closely with Technical Product Owners to prioritize high-level needs around analytics and insight extraction, proceeding autonomously with implementation details, • Proactively identify abnormal production behavior, investigate and rationalize this behavior, and/or guiding other Data Scientists to do so, • Communicate results of investigations clearly to relevant stakeholders, with actionable insights clearly highlighted and prioritized, • Design analysis pipelines that automate those analyses found to be valuable for ongoing monitoring, overseeing their implementation, and successful deployment, • Guide and manage the technical efforts of other Data Scientists, • Cultivate in yourself and other Data Scientists some expertise in financial and statistical analysis to gain actionable insights into our production trading and research systems Requirements • 3+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization, • Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions, • Ability to frame and answer questions quantitatively, • Ability to infer useful forward-looking directions from results of retrospective analysis, • Fluency in managing, processing, and visualizing tabular data using a combination of SQL, Pandas, and R, • Basic software development tooling skills, including bash, Unix, and git, • Ability to refine requirements from ambiguous requests to produce reports demonstrating excellence in communication, • Bachelor’s and Master’s degrees in quantitative disciplines (statistics, biostatistics, data science, computer science, or a related field) Preferred • Experience leading the efforts of a team of technical contributors, • Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships, • Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, git, Airflow \n Compensation The base salary range for this position is $190,000 to $230,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, nine sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this ___ to submit your referral. For more details regarding eligibility, terms, and conditions, please review the ______ Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. Vaccination Requirement The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID-19 vaccine. This policy also applies to remote employees, who will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon’s ongoing efforts to ensure our employees' and community's safety and well-being, and to support public health efforts.

Spotify’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music, podcasting and audiobooks. Today, we are the world’s most popular audio streaming subscription service with a community of more than 678 million users. We are looking for an extraordinary Data Scientist to join the band and build core analytics to support our Music Partnerships teams, meaning the teams at Spotify who interface with artists, artist managers, songwriters, record labels and music publishers. • Perform analyses on large sets of data to extract actionable insights that will drive decisions, with a particular focus on artist and release performances, • Engineer novel data sets, features and reports that shed a new light on the dynamics of music listening, • Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and data storytelling, • Craft high impact presentations for senior management on the Music Partnerships teams, • Evaluate Spotify’s value exchange with music partners and build compelling data visualization tools to move it forward, • Model statistical predictions to surface growing artists, genres and music trends, so as to inform resource allocation in and around Spotify’s Music organization, • You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirable, • 2+ years of relevant experience analyzing complex data with SQL, Python, and/or R, • You are passionate about music and popular culture in general. Previous experience in music is a preference. Other media, entertainment, or technology experience is also highly valued, • You are a natural communicator. You focus just as much on how you deliver your findings, as you do on the technical craft of uncovering new insights., • Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution), • Modeling and statistical knowledge, such as forecasting, AB-testing, or feature engineering for machine learning is a plus, • A curiosity for, and investigative approach towards the ways in which AI reshapes data science and analysis is also valued., • Experience creating and scheduling datasets is highly valued. Knowledge of Google’s BigQuery, or DBT is a plus, • This role is based in New York, NY, • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times per week.The United States base range for this position is $89,093-$127,262, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music, podcasts, and audiobooks better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Data Scientist to join the AI Foundations team to evaluate generative AI models and their impact on users. You will collaborate with cross-functional teams of engineers, research scientists, product managers, and tech leads to ensure that we are making product and technology decisions grounded in data. In this role, you will bring a deep understanding of user behavior into the development and evaluation of Spotify’s foundational AI products. • Perform analyses on AI models and user behavior to help drive strategic and product decisions, • Define and report on key performance metrics to measure the health and success of our products, • Design and analyze experiments and perform causal inference when A/B testing is not an option, • Contribute to novel methodologies for AI model evaluation and measurement, including offline evaluation and LLM-as-a-judge techniques, • Communicate complex technical findings to diverse stakeholders, • You have experience in a hands-on data science role, preferably in an AI or ML team, • You have the technical competence to perform advanced analytics: coding skills (Python or R), experience with analytics and visualization tools (SQL, Tableau, ggplot/matplotlib or equivalent), and experience performing analysis with large datasets, including the use of AI tools for data science, • Strong communication and presentation skills, with an emphasis on storytelling with data, • You are a self-driven person who’s capable of tackling loosely defined problems and driving strategic impact, • Excited to be at the forefront of Spotify’s AI-first product evolution, with a focus on innovation, iteration, and impact, • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have ___, • This team operates within the Eastern Standard time zone for collaboration.The United States base range for this position is $110,018 - $157,169 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.

Optiver is a leading global market maker, powered by technology, rigorous research, and deep collaboration. As markets grow more data-driven and competitive, our ability to ingest, model, and deliver high-quality data at scale is fundamental to maintaining our trading edge. We’re looking for a Data Engineer to join our Global Data Engineering team in New York City, with a dedicated focus on supporting our Credit Trading team and advancing our ETF and portfolio-based systematic strategies. You’ll play a key role in building the data solutions that fuel both real-time trading and long-term research, working across the full data lifecycle, from discovery to derivation and validation, for datasets used in research and production systems. What you’ll do As Data Engineer, your key responsibilities include: • Create novel analytics and frameworks to research and analyze trade-offs between different sources of returns, flow, and risk, • Quantify market drivers with our Quantitative Researchers and Global Market Data team to support risk taking and decision making, • Model and normalize complex financial datasets to ensure they are clean, structured, and accessible for both research and production trading systems, • Own the reliability of these datasets and the associated data APIs, • Collaborate directly with alpha researchers, pricing researchers, and fellow engineers to understand evolving data needs and deliver reliable, scalable solutions, • Ensure data quality and consistency through validation, monitoring, and robust engineering practices What you’ll get • The opportunity to work alongside best-in-class professionals from over 40 different countries, • Highly competitive compensation package, • Global profit-sharing pool and performance-based bonus structure, • 401(k) match up to 50%, • Comprehensive health, mental, dental, vision, disability, and life coverage, • 25 paid vacation days alongside market holidays, • Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more Who you are • 3+ years of experience as a Data Engineer, Data Scientist, or similar role in a high-performance environment, preferably in financial services, • Strong proficiency in Python, with experience using libraries such as Pandas, Arrow, and Spark, • Solid understanding of data modeling, normalization, and API development in support of large-scale analytical or trading systems, • Experience working with lakehouse architectures (e.g., Delta Lake, Databricks, AWS) to manage large-scale, high-quality analytical datasets, • Familiarity with a variety of data sources, including CDS, corporate/capital structure, and bond NAVs relevant to Fixed Income trading, • Strong software engineering fundamentals—especially around performance, scalability, and reliability in distributed systems, • Experience with statistical models and core methods of quantitative finance, • Exceptional attention to detail, organization, and project management skills, • Ability to operate productively in a fast-paced, team-oriented environment., • Legal authorization to work in the U.S. is required; we will not sponsor individuals for employment authorization for this job opening. Who we are At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe. Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

The Domains Search team at Squarespace helps customers discover the perfect domain by combining search, recommendation, and generative AI techniques. We are building an intelligent platform that uses natural language processing, ranking models, and personalization to make domain discovery intuitive and inspiring. We're looking for a Senior Data Scientist with expertise in Search/Recommendation systems and NLP to help guide model development, experimentation, and data insights that power this experience. This is a hybrid role working from our New York City office 3 days per week. You will report to the Senior Engineering Manager of Domains in NYC. • Design and evaluate algorithms for search, ranking, recommendation, and personalization of domain search results., • Leverage NLP techniques (including LLMs) for query understanding, domain name generation, and contextual suggestions., • Partner with engineers and product managers to translate ambiguous product needs into data-driven solutions., • Conduct rigorous experimentation and build metrics frameworks to measure search quality, engagement, and growth., • Prototype and productionize models with MLEs, ensuring scalability, performance, and monitoring., • Perform exploratory data analyses to identify opportunities, diagnose issues, and create product insights., • Drive personalization strategies by incorporating user behavior, account history, and demographic data., • Mentor peers and help build a data science culture within the team., • 5+ years of professional experience as a Data Scientist, with at least 2 in search, ranking, or recommender systems., • Foundation in machine learning and NLP, including practical experience with embeddings, transformers, or LLM applications., • Proficiency in Python and SQL, with experience using data science and ML libraries (e.g., Pandas, Scikit-learn, PyTorch, TensorFlow)., • Experience with large-scale experimentation frameworks (A/B testing, causal inference, uplift modeling)., • (Bonus) Experience in domain search, information retrieval, or e-commerce search. You'll help shape how millions of customers search for and choose their domain names — one of the most critical steps in building their online presence. This is a chance to work at the intersection of data science, ML, and product innovation, on a team with a goal of inventing new approaches to domain discovery. • A choice between medical plans with an option for 100% covered premiums, • Fertility and adoption benefits, • Access to supplemental insurance plans for additional coverage, • Headspace mindfulness app subscription, • Global Employee Assistance Program, • Retirement benefits with employer match, • Flexible paid time off, • 20 weeks for parental leave and up to 12 weeks to care for an ill family member, • Pretax commuter benefit, • Education reimbursement, • Employee donation match to community organizations, • 8 Global Employee Resource Groups (ERGs), • Dog-friendly workplace, • Free lunch and snacks, • Private rooftop, • Hack week twice per year The base salary for this position will vary based on job-related criteria including relevant skills, experience, and location, among other factors. In addition to the cash compensation above (which includes base salary and, where applicable for eligible roles, may include on-target commissions or overtime pay), Squarespace employees are eligible to be granted an option to purchase our common stock. Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of customers in more than 200 countries and territories with all the tools they need to create an online presence, build an audience, monetize, and scale their business. Our suite of products range from websites, domains, ecommerce, and marketing tools, as well as tools for scheduling with Acuity and creating and managing social media presence with Bio Sites and Unfold. Our team of more than 1,500 is headquartered in bustling New York City, with offices in Dublin, Ireland, Aveiro, Portugal, and coworking spaces in the UK, Netherlands, and Australia. For more information about our company culture, visit ___. Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customers, but we also work toward the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace. #LI-Hybrid Thank you in advance for providing the following details about your work history from your resume! This helps us ensure that your candidate information is accurate and consistent during the hiring process. Squarespace will never solicit your personal banking information or ask you to transfer money in connection with a job offer or interview. We also will not reach out to you via phone or SMS without your permission or knowledge.

At Nexxen, we value our differences, varied experiences, and collective contribution. We know that not everyone takes the same career path, so if you don’t match this job description perfectly, don’t worry! We would rather see your application than risk missing out on your potential to make an impact. In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is $160,000 - $210,000 at the time of posting. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have. #LI-KN1 #LI-Hybrid

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read ___ to learn more. About the role... We’re looking for an outstanding technical leader in Data Science who specializes in product analytics, statistical modeling/machine learning, and causal inference to advance data-centric decision-making at Duolingo. The ideal candidate will collaborate closely with leadership in Engineering, Product Management, and Learning (Video Call with Lily) to develop and deliver metrics, attribution models, and actionable business analyses. They will evangelize scientific methods and influence strategic business decisions, with an appreciation for the behaviors of Duolingo users. They will be a strong advocate and mentor for the Data Science & Analytics team and help advance their learning, creativity, and growth. You will... • Lead the cycle of turning ideas into production-grade data science solutions, ensuring long-term viability and robustness., • Apply advanced analytical methods, causal inference, machine learning, and AI to model user behavior, and partner with product and engineering teams to build scalable business frameworks and solutions., • Drive the data lifecycle: Understand, extract, transform, and validate data across multiple sources via relevant tools (e.g., SQL, R, Python)., • Partner with data engineers and business intelligence to turn insights into data products (e.g. data pipelines, algorithms, self-service dashboards)., • Communicate findings effectively to executive partners and collaborate with product teams to integrate insights into strategy and decision-making., • Stay on top of developments in statistical methods and LLMs, and drive continuous improvement in internal tools and analytical practices at Duolingo., • Provide guidance and mentorship to junior data scientists, encouraging an environment of excellence, innovation, and collaboration. You have... • Bachelor’s degree in a relevant field (e.g., Data Science, Economics, Business Analytics, Information Systems, or a related quantitative field)., • 5+ years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, and statistical modeling., • Outstanding problem-solving abilities and the capacity to translate complex data into actionable insights., • Excellent verbal and written communication skills with the ability to collaborate effectively with both technical and non-technical partners., • Able to relocate to and work in our New York office. Exceptional candidates will have... • Advanced degree in Data Science, Economics, Statistics, or an equivalent quantitative field., • Strong experience in developing and implementing an analytic vision to solve business-relevant problems., • Ability to lead multiple complex work streams and develop partnerships across organizational boundaries., • Experience with "big data" and cloud computing technologies like Redshift, Snowflake, BigQuery., • Effective storytelling ability with experience leading business conversations with senior leadership., • Experience training machine learning models and deploying them in production., • Familiarity with AI tools such as Cursor, a knack for prompt engineering, and a desire to continue to innovate and learn in AI., • Experience at a high-growth company that has undertaken an IPO., • An impressive Duolingo XP or streak! We post a multi-level salary range for all of our roles. This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity. Salary Range: $177,700—$300,000 USD Take a peek at how we care for our employees' holistic well-being with our benefits___. We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact ___. Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this position your data will be processed as per the___. Sign up for job alerts ___.

About Constellation: Constellation is a cutting-edge AI solution that empowers highly regulated and complex industries with the insights and content they need to fuel their business. Specializing in industries such as healthcare, automotive, insurance, and finance, our powerful data/AI insights tools inform the creation of compliant content at scale. We enable our customers to harness their data and streamline the creation of localized, personalized content. A global, NYC-based company, Constellation has been revolutionizing marketing technology and data intelligence in order to drive exponential growth since its founding in 2016. Constellation was named the 65th Fastest-Growing Private Company in America, the 10th Fastest-Growing Women-Owned Private Company, and the 7th Fastest-Growing Marketing & Advertising Company by Inc 500. In 2022, our platform won the Digiday Technology Award for Best Marketing Automation Platform. About the Role We are seeking an experienced Senior Data Scientist to spearhead the development and optimization of our Automotive predictive models. This role will involve leading end-to-end model development, from data preprocessing to deployment, and collaborating with cross-functional teams to deliver scalable, high-impact AI models and solutions. The ideal candidate is a strategic thinker with deep expertise in machine learning, deep learning, and transformer architectures, self-motivated with a proven ability to drive and advance projects. What You’ll Do • Lead Predictive Model Development:, • Model Development: Architect, develop, and fine-tune inventory predictive models to address complex decision-making challenges., • Model Evaluation: Define and implement metrics to evaluate model performance, iterating on designs to improve accuracy, efficiency, and robustness., • Model Deployment: Collaborate with engineering teams to deploy models into production environments, ensuring scalability, reliability, and performance., • Documentation: Document methodologies, experiments, and results., • Research and Innovation: Stay at the forefront of advancements in deep learning, transformer architectures, reinforcement learning, and sequential decision-making, applying cutting-edge techniques to enhance model performance., • Mentor & Scale the Team: Coach junior and mid-level data scientists and engineers, review code, drive standards, and help shape a culture of high performance, curiosity, and inclusivity., • Collaborate Cross-Functionally: Work closely with Product, Engineering, Design, and GTM teams to integrate intelligent systems into customer-facing features and internal tooling., • Model Business-Critical Outcomes: Develop models for inventory and pricing optimizations, leveraging both structured and unstructured data. What We’re Looking For • Experience:, • 8+ years of experience in data science, ML engineering, or applied AI, with a track record of delivering high performance models (Kaggle competition etc.) and shipping models in production., • Familiarity with automotive data domains is a strong plus, whether in marketing analytics or vehicle inventory intelligence., • Technical Expertise:, • Deep experience with Python and classic ML (Pandas, NumPy, Scikit-learn) and modern ML/DL libraries (PyTorch, TensorFlow, Hugging Face)., • Experience leveraging longitudinal data to uncover trends, patterns, and predictive insights for complex, dynamic datasets., • Preprocessing data skills to prepare both structured and unstructured data for ML/DL models, ensuring data quality, feature engineering, and compatibility with model requirements., • Deep understanding of transformer architectures, reinforcement learning, and sequential decision-making models., • Strong command of SQL and data modeling in cloud warehouses (e.g., Snowflake, BigQuery, Redshift)., • Worked with Agile development environment, participating in sprints, stand-ups, and iterative project cycles to deliver high-quality data-driven solutions., • Develop and maintain production-level code to ensure scalable, efficient, and reliable data pipelines and ML/DL models., • Problem Solving:, • Strong analytical skills with a track record of solving complex, real-world problems using data-driven approaches., • Mindset to try different approaches and think outside the box., • Ownership and leadership:, • Proven ability to lead projects, mentor team members, and manage end-to-end model development lifecycles., • Communication:, • Communication and mentorship skills, with a collaborative mindset and a passion for helping others grow. Bonus Experience • Experience with model lifecycle management, pipelines, monitoring, and experiment tracking using modern tooling like MLflow, SageMaker, or Vertex AI., • Experience building systems using AWS (Lambda, SageMaker, EC2, Batch, S3) or similar cloud platforms., • Experience with probabilistic modeling (e.g., PyMC3, Stan)., • Familiarity with graph databases (e.g., Neo4j) and modeling network effects., • Prior exposure to recommendation engines, survival models, or multi-touch attribution., • Exposure to Looker, Tableau, or similar BI platforms. Diversity & Inclusion: Constellation is an Equal Opportunity Employer, committed to providing a diverse and inclusive environment. Here at Constellation we don't discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally-recognized protected basis under federal, state, or local law. If you need an accommodation during any part of the interview process, due to a disability, please let your dedicated Talent Partner know. Compensation Package: The total compensation package is made up of base compensation, equity, and benefits New York Pay Range: $165,000 - $185,000 #LI-Hybrid: hybrid positions

True Environmental and its partner firms, have united their strengths to establish the nation's premier environmental and engineering services consulting firm. This powerhouse organization offers an extensive range of services aimed at revolutionizing the built environment and preserving the natural one. Its diverse expertise encompasses environmental remediation, urban planning, engineering iconic coastal and marine structures, developing sustainable energy sources, and pioneering resource extraction methods. With a workforce of over 450 dedicated professionals, including environmental experts, engineers, technicians, scientists, planners, surveyors, and construction management professionals, this dynamic organization operates in more than 20 offices across the U.S. Explore further at ___ to discover the full scope of our capabilities. We are seeking a highly analytical and innovative Data Scientist to support our engineering teams with advanced data-driven insights. This role will focus on leveraging data science, machine learning, and statistical modeling to optimize engineering processes, improve product design, enhance reliability, and drive operational efficiency. The ideal candidate will combine technical expertise with a strong understanding of engineering systems, manufacturing processes, and applied analytics. • Analyze engineering and manufacturing data to identify patterns and actionable insights., • Develop predictive models to support quality assurance, process optimization, predictive maintenance, and product performance analysis., • Partner with engineers, designers, and R&D teams to define data requirements and provide evidence-based recommendations., • Build and maintain scalable data pipelines and machine learning models for real-time applications e.g., anomaly detection, fault prediction)., • Create digital twins, simulation models, or optimization algorithms to support engineering decision-making., • Visualize complex engineering data and present findings to stakeholders in clear, actionable formats.· Design and implement modern, scalable data architectures to support AI/ML workloads.· Implement solutions integrating structured, semi-structured, and unstructured data., • Ensure compliance with industry standards, data governance, and cybersecurity best practices., • Stay current with emerging data science methods and their applications in engineering (e.g., Industry 4.0, AI in design, advanced materials)., • Bachelor’s or Master’s degree in Data Science, Engineering, Computer Science, Statistics, or related field., • Strong programming skills in Python, R, SQL; experience with MATLAB or C++ is a plus., • Hands-on experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)., • Familiarity with engineering software and data (e.g., CAD/CAE, IoT/SCADA systems, sensor data streams)., • Knowledge of predictive modeling, optimization algorithms, and statistical process control., • Proficiency with Power BI, • Solid understanding of probability, statistics, and experimental design., • Advanced degree (Master’s or Ph.D.) in Data Science, Engineering, or Applied Mathematics., • Experience applying data science to predictive maintenance, supply chain optimization, or manufacturing automation., • Familiarity with big data platforms (e.g., Spark, Hadoop) and cloud environments (AWS, Azure, GCP)., • Knowledge of digital twin technology, IoT analytics, or reliability engineering., • Prior experience in mechanical, electrical, civil, or manufacturing engineering industries., • Strong problem-solving skills with an engineering mindset., • Ability to communicate complex data insights to engineers, operations staff, and leadership., • Collaborative, with experience working on cross-disciplinary teams., • Curiosity-driven and detail-oriented with a focus on continuous improvement.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions. • Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling., • Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying., • Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn)., • Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow)., • Strong analytical skills and the ability to work with large datasets to extract meaningful information., • Experience in data preprocessing, feature engineering, and model evaluation., • Excellent problem-solving abilities and strong communication skills to present findings effectively. We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at . Also follow our ___ page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

SESAMm () extracts behavioral insights from millions of unstructured text data sources across the public internet in over 100 languages, helping clients distill valuable intelligence on businesses and their customers to make investment decisions and manage risk. We work with many well-known firms around the world in private equity, investment banking, insurance, and asset management to apply Natural Language Processing and Artificial Intelligence algorithms to track e-reputation, competitive positioning, sentiment analysis, risk and ESG factors. SESAMm is growing quickly, with over 90 team members around the globe and offices in Paris, New York, London, Metz, Tunis, and Tokyo. Key technologies: Alternative Data, Natural Language Processing, Machine Learning and Quantitative Analysis. Are you looking for a new challenge? Do you dream of joining a growing company, proposing new ideas, and taking part in innovative processes? At SESAMm, everyone brings their ideas, skills, and creativity. We value collaboration, support and teamwork. We learn every day from the experience of this great team and we constantly take up new challenges. We are proud of the work accomplished and to participate in the success of this great adventure! The Data Scientist Role SESAMm, in partnership with one of the largest private equity (PE) firms in the United States, is seeking a data scientist to join an exciting AI platform project designed to transform investment analysis. This project is at the cutting edge of private equity, leveraging advanced artificial intelligence (AI) to improve data-driven decision-making. As a data scientist, you will contribute to a groundbreaking platform used by deal teams to accelerate and enhance due diligence. • Advanced Data Analysis & Modeling: Conduct in-depth data analysis to support private equity investment decisions. Develop and implement analytical models — including feature engineering, statistical modeling, and machine learning — to extract insights from complex financial and extra-financial datasets. Ensure results are robust, explainable, and aligned with investment objectives. Translate analytical findings into actionable insights for investment and operational teams., • Data Engineering & Integration: Design and maintain efficient data pipelines for collecting, cleaning, and integrating large, diverse data sources (financial statements, market data, ESG signals, alternative datasets, etc.). Leverage Python and SQL to optimize processing performance, ensure data quality, and enable scalable analytics across investment workflows., • Cross-Functional Collaboration: Work closely with investment, operations, and data science teams to identify high-impact analytical use cases. Communicate complex results clearly to both technical and non-technical stakeholders., • Master’s degree in Data Science, Applied Mathematics, Statistics, or a related quantitative field., • 3–5 years of hands-on experience in data science or analytics, including internships., • Proven experience with feature engineering, statistical modeling, and building or evaluating ML models., • Experience working with large, heterogeneous datasets., • Prior experience in commercial consulting, investment banking, private equity diligence, or a client-oriented analytical role is a must., • Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL., • Familiarity with cloud data environments (AWS, Azure, or Databricks) is a plus., • Ability to synthesize complex data into clear business insights., • Strong communication and presentation skills; fluent English required, French is a plus. Flexibility: Team members can work remotely and have the opportunity to work with colleagues around the world. Work Environment: SESAMm is multicultural, with technology, sales, and management teams in the US, France, and Tunisia making important contributions to the company’s growth. Career Development: SESAMm is growing rapidly, creating ongoing opportunities for personal and professional growth. This dynamic environment allows you to shape the company’s culture and evolution. Professional Development: Work alongside industry-leading experts and gain valuable exposure to advanced AI and ML technologies applied in private equity. This role offers a unique opportunity to deepen your expertise in these cutting-edge applications. Mentorship & Training: SESAMm provides structured training and mentorship, with a strong emphasis on knowledge-sharing. Internally and externally led training sessions are organized, and we offer access to educational platforms, encouraging you to expand your AI skill set. Global Perspective: Collaborate with teams based across Europe and the United States, gaining hands-on international experience in a fast-paced, high-impact environment. This global perspective helps broaden your skill set and provides insights into international market dynamics. Transparency: You will be kept apprised of the company’s continuing evolution and performance through monthly “Ask Me Anything” meetings, frequent business/finance updates, and strategy-sharing discussions. Well-being: Building a good culture is key to building a good business at SESAMm. We focus on being a learning organization that values and supports teamwork, thoughtfulness, and work/life balance.

We are looking for a Data Scientist to join our Royalties & Revenue team within the Finance Data & Insights organization. This role is perfect for someone who enjoys combining strong SQL and data skills with a deep curiosity for how financial data drives business decisions. You’ll help ensure that our Finance and Accounting teams have accurate, reliable data to answer key questions about our subscription revenues, music royalties, and audiobook royalties. You’ll also gather data for legal and audit purposes, ensuring precision and confidentiality. This role also includes opportunities to use AI and other automation tools to enhance efficiency within Finance. • Work with a cross-functional team of data scientists, engineers, and functional stakeholders to develop and enhance systems and data that support Finance and/or Accounting., • Assist with legal and audit data pulls, ensuring compliance, accuracy, and appropriate documentation., • Collaborate with internal stakeholders to understand their data needs and provide clear, accurate, and timely outputs., • Gain and deploy a deep understanding of the Spotify data ecosystem to complete operational tasks and analyses related to royalty payments and subscription revenues with accuracy and timeliness, • Work with large data sets, solving complex problems in a fast-paced and dynamic environment, • Drive process efficiencies through automation and delivery of data pipelines to enable self-service reporting and analytics, using AI where possible, • Work in an environment with a group of highly motivated individuals who are passionate about Spotify’s success, • 2+ years of experience in data analytics, ideally with experience in financial data analysis. Experience in a tech-forward environment is a plus., • A passion for solving complex problems through data analysis combined with a strong business acumen., • Experience performing analysis over large and complex data sets, • Fluent in SQL and have hands-on experience with BigQuery and Google Sheets. You also have experience with visualization tools (e.g, Tableau, Looker Studio), • Have the ability to communicate with both technical and non-technical teams to understand problems and articulate proposed solutions, • Can formulate meaningful conclusions from your analysis or investigations that inform business decisions while highlighting limitations and assumptions, • Experience performing testing and validation of datasets and outputs created by other teams or members of your team, • Background with both finance and technical experience, with a degree in finance, accounting, information systems, mathematics, statistics, computer science, or another quantitative discipline, • Experience with AI, Python, R, or other programming languages is a strong plus., • This role is based in New York, NY, • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come into the office 2-3 days per week.

Trillium is a leading proprietary trading firm active in US Equities, US Options, Canadian Equities, and OTC Equities. With trading technology built, tested, and optimized in-house, our engineers and technologists collaborate with our traders to deliver tools and functionality designed to support their needs. Our passion for the markets and our drive to succeed have propelled our track record of growth and profitability for over 20 years. At Trillium, we are a team of problem solvers and independent thinkers dedicated to seizing market opportunities. We are headquartered in New York City, with additional trading floors in Chicago and Miami. To learn more about Trillium, visit The Role As a Data Engineer at Trillium, you will be responsible for building and maintaining the foundation that powers analytics across the firm. You’ll design robust data pipelines, integrate new data sources, and create business-ready datasets that enable fast, accurate, and scalable reporting and analysis. Your work will ensure that Trillium’s analytics team can focus on delivering insights—confident that the data underneath is clean, reliable, and automated. This is not just a maintenance role, it’s a chance to help define the firm’s enterprise data environment. You’ll play a key part in shaping standards, architecture, and best practices that scale as Trillium expands its analytics capabilities. As Trillium modernizes its data environment, you will drive the evaluation and adoption of cloud and modern data platforms. You’ll partner closely with our Data Scientist, technologists, and cross-functional stakeholders in Finance, HR, Risk, and Trading. Together, you will connect disparate datasets into a cohesive, governed infrastructure that supports smarter, faster decision-making across the organization. As Trillium continues to expand its analytics capabilities, this role offers the opportunity to influence architectural choices and grow in scope as the function matures. Responsibilities • Design, build, and maintain reliable, automated data pipelines that feed dashboards, reports, and analytical models, • Develop and optimize database structures to support high-quality, business-ready datasets across trading, risk, HR, and finance, • Integrate new data sources and vendors into Trillium’s data ecosystem, • Implement and maintain strong data governance, access controls, and compliance standards across sensitive datasets, • Ensure data accuracy, speed, and reliability by implementing best practices in monitoring, validation, and quality control, • Partner with the Data Scientist to enable exploratory studies, predictive modeling, and firmwide analytics, • Collaborate with technologists to align infrastructure, tools, and integration standards, • Continuously seek opportunities to improve automation, reduce manual processes, and enhance the scalability of analytics at Trillium Requirements • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field, • 3-6 years of experience in data engineering, ETL development, or database architecture (experience in financial services or trading a plus), • Strong SQL expertise (PostgreSQL, MySQL, or similar) and experience designing normalized and denormalized data models, • Proficiency with Python and other scripting languages for building and maintaining ETL pipelines and data loaders, • Experience with API, batch, and real-time streaming data ingestion methodologies, • Experience optimizing large-scale datasets and query performance tuning (partitioning, indexing, caching), • Experience with AWS services as they relate to data storage and data pipelines, • Experience with CI/CD pipelines and infrastructure as code, is a plus, • Familiarity with BI/reporting tools such as Tableau, Power BI, or RStudio/Posit, is a plus but not a requirement, • Experience with data orchestration and workflow management (e.g., Airflow, dbt, or similar), • Knowledge of cloud data platforms (Snowflake, Redshift, BigQuery, Databricks, or similar), with the ability to guide evaluation, adoption, and integration, • Strong grasp of data governance, quality control, security, and monitoring practices, • A mindset of partnership—comfortable explaining technical concepts to non-technical stakeholders and helping others integrate, trust, and use data effectively Location: This is a hybrid role based in NYC Compensation and Perks • The reasonably estimated salary for this role is $105,000 - $140,000 + additional bonus if applicable. Actual compensation is based on a number of factors including but not limited to the candidate's skills, qualifications, and experience., • Complimentary breakfast on Tuesdays and lunch on Wednesdays and Thursdays, • Trillium sets itself apart with a collaborative culture built on mutual respect and a shared commitment to excellence. Many of our team members have chosen to build their entire careers here, drawn by an environment that values long-term growth, fosters innovation, and creates a truly great place to work., • Trillium offers a wide range of best in class, comprehensive and inclusive employee benefits and perks including PTO, medical and dental insurance, 401(K) matching, parental leave, pre- tax commuter benefits, and catered lunches. USA Pay Range$105,000—$140,000 USD Trillium is an Equal Opportunity Employer. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Trillium are based on merit, qualifications, and the needs of the company. Trillium does not discriminate on the basis of race, creed, color, religion, sex, national origin, age, disability, predisposing genetic characteristics, ancestry, military status, family care status, marital status, sexual orientation, domestic violence victim status, gender identity or any other legally protected basis protected by applicable law. Applicants who are interested in applying for a position and require special assistance or a reasonable accommodation due to a disability should contact ___.

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • Understand diverse data sources, both structured and unstructured., • 6+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS ___ is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year:___. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday’s Most Innovative Media Agency to name a few. We couldn’t create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: Known’s Skeptic team builds the tools that power Known’s media buying practice and elevate the media campaigns of our clients. Our work ranges from predictive modeling / optimization to infrastructure development, and Skeptic’s data scientists and engineers are challenged every day to push the limits of advanced advertising. We are seeking a Senior Data Scientist who can understand the core business objectives of our internal teams and our clients, and develop tools tailored to their use cases. Experience in media is a plus, but not required for the role. The initial project for this role will have a heavy forecasting component and leverage common techniques used for Media Mix Models. In this role more generally, you will work with, and guide, other data scientists on a variety of projects and interface with our other teams at Known. As a Senior Data Scientist, you will drive forward some of our most difficult data science projects. WHAT YOU’LL DO • Developing new techniques (e.g., ML models, optimization algorithms, and automation) to improve Known IP and create tools for Known’s clients, • Working with other data scientists and engineers to productionalize new tools, • Collaborating with data visualization experts to build dashboards around forecasts and other model outputs, • Managing the ingestion and cleaning of new datasets relevant to your work / projects, • Mentoring other data scientists on our team WHO YOU ARE AND WHAT YOU HAVE • A Masters or PhD from a well-regarded college or university. STEM degrees are preferred., • 5+ years (with Masters) or 3+ years (with PhD) of hands-on experience doing quantitative analysis, statistical modeling, optimization and/or statistics. Experience utilizing Python and SQL. Candidates with a Bachelors degree and 7+ years of experience may also be considered., • 3+ years of experience building data science software, • Experience in ad-tech or media buying is highly desired, specifically with a track record of modeling data from 'Walled Garden' social ecosystems, • A strong grasp of Bayesian statistical methods is a plus. You should be comfortable applying probabilistic thinking to solve real-world optimization problems, beyond standard frequentist approaches. Skills, abilities, and knowledge • Superb communication and presentation skills, • An ability to translate business challenges into quantitative problems, and solve them by whatever means necessary, which may not always be strict machine learning, • Proven ownership of projects taken to completion, • A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others’ work, • Experience working on a tech team, with experience in cloud technologies, version control, etc., • Experience in advertising or advertising technology is a plus, • Applied knowledge of Bayesian inference and probabilistic programming (experience with libraries like PyMC) is a plus, • Deep understanding of the data structures and optimization levers within social advertising platforms (e.g., bidding strategies, conversion windows, and attribution logic) is a plus Competencies • Ability to prioritize time, work and effort while multitasking on multiple projects, • Desire to mentor and teach others, • Collaborative attitude, • Self motivated and exhibits initiative, • Willing & able to learn quickly, • Abundant intellectual curiosity and integrity SOME OF OUR PERKS • Unlimited paid time off, • 401k with company matching and no vesting period, • Annual bonuses, • Generous medical plan, • Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $130K - $150K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-RR1

ABOUT FANDUEL FanDuel Group is the premier mobile gaming company in the United States. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product. In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states and Puerto Rico. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). THE POSITION Our roster has an opening with your name on it FanDuel is looking for a Data Scientist, to drive our Sportsbook customer generosity distribution and bonus spend optimization. In this role you will be responsible for customer segmentation, modeling, automation, reporting and data analysis across all areas of Sportsbook generosity distribution. Using your numerical and technology capabilities you will play a key role in bonus spend research, optimization and communication of results to CRM and Commercial senior management. This is a great opportunity for somebody who wants to work in an environment where curiosity is rewarded, and people are empowered to make decisions. The ideal candidate will have a passion for continual learning and developing innovative solutions to business problems. THE GAME PLAN Everyone on our team has a part to play • Take on data science projects from start to finish, including working with stakeholders to agree project KPIs, and reporting on progress and outcomes throughout projects at agreed cadence, • Deliver high-quality analysis, customer segmentation and predictive models which help drive incremental revenue through optimal automated bonus spend distribution, • Improve our understanding of customer behaviors, efficiency of promotions, and effectiveness of bonus spend, • Through idea generation and exploratory analysis, develop new and innovative ways to turn behaviors into features for use in analysis, segmentation and predictive modeling, • Create, modify, and evolve models which solve business problems, and show demonstrable improvements to department KPIs, • Demonstrate accurate insights and predictions using easy to interpret visualizations and clear explanations of results, recommendations, methods, biases and limitations, • Work with Data Engineering and Analytics Engineer to optimize data quality and data modeling pipelines, • Take responsibility to learn the necessary skills and techniques, to develop ability to work with independence, integrity and accuracy, • Collaborate with key stakeholders to help in identifying areas for improvement, and support their strategic objectives, • Assist in coaching, developing and performance managing less experienced team members, • Contribute new ideas for data science projects which have demonstrable potential to improve revenue performance or customer experience THE STATS What we're looking for in our next teammate • Minimum of 3+ years of previous Data Science or Analytics Experience, • Minimum 1+ years building and deploying complex machine learning models with real world applications, • Have a developed technical skill set which facilitates high-quality, efficient & comprehensive quantitative analysis, • Proficient in SQL and experience of manipulating large datasets in Microsoft Excel, • Proficient in statistical or programming software and techniques (e.g. in Python, R, C#, VBA, etc.), • Strong communication and presentation skills, experienced in explaining technical projects to non-technical stakeholders, • Experience working with data visualization tools like Tableau an advantage, • Undergraduate degree in a numerate or technical discipline, • Interest in sports is a plus, • Interest or experience in the Sports betting industry is an advantage PLAYER BENEFITS We treat our team right We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: ___. *Benefits differ across location, role, and level. FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or another other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. The applicable salary range for this position is $116,000 - $145,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws. #LI-Hybrid

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS ___ is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year:___. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday’s Most Innovative Media Agency to name a few. We couldn’t create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: Known’s Marketing Science team embeds data scientists directly within our media buying and activation operations. You will be at the forefront of creating innovative analytical approaches to analyze and improve media buying strategies and outcomes for our diverse clientele. A key responsibility will be to design, develop, and deploy data-driven applications and tools that empower our media activation teams, streamlining their workflows and enhancing their effectiveness. Furthermore, you will contribute your expertise to our media consulting practice, providing data-backed insights and strategic solutions to external clients. We are seeking a Data Scientist who can understand the core business objectives of our internal teams and our clients, and ideate, design, and develop innovative solutions using advanced statistical modeling, machine learning, optimization, and potentially Generative AI techniques. While direct experience in media is a strong plus, a passion for applying cutting-edge data science to solve complex marketing and media challenges is crucial. This role offers a unique opportunity to blend deep analytical skills with practical marketing acumen to drive significant impact. In this role more generally, you will work with, and guide (for senior levels), other data scientists on a variety of projects, interface with our other teams at Known, and drive forward some of our most difficult and innovative data science projects, using advanced methods to revolutionize media buying and activation. WHAT YOU’LL DO • Analyze complex media buying data to identify trends, insights, and opportunities for performance improvement and optimization., • Develop, implement, and refine innovative analytical models, algorithms, and frameworks to enhance media buying strategies, targeting, and ROI., • Design, build, test, and deploy robust data-driven applications and tools to automate processes, improve efficiency, and support decision-making for the media activation team., • Collaborate closely with media buyers, strategists, engineers, and account teams to understand their challenges and translate business needs into effective data science solutions., • Contribute to media consulting engagements by delivering data analysis, predictive modeling, strategic recommendations, and client-facing presentations., • Develop and apply a range of techniques to improve Known IP and create valuable tools for Known's internal teams and clients., • Work with other data scientists and engineers to productionalize new tools and analytical solutions, ensuring scalability and reliability., • Stay current with advancements in Data Science, AI, media analytics, and ad technology, identifying opportunities for their application in the marketing domain. WHO YOU ARE AND WHAT YOU HAVE • A Bachelors, Masters or PhD in a STEM field, or equivalent practical experience., • Hands-on experience doing quantitative analysis, statistical modeling, optimization and/or machine learning., • Proven ability to translate complex data into actionable business insights, particularly within a marketing or media context., • Strong understanding of marketing principles and media buying/activation processes. Direct experience in media analytics, ad-tech, or a similar marketing-focused data science role is highly desirable., • Experience utilizing Python and SQL for data manipulation, analysis, and model building., • Experience building data science software, analytical workflows, or data-driven applications., • 2+ years (with Masters/PhD) or 3+ years (with Bachelors) of relevant experience in data science or analytics., • 1+ years of experience building data science software or applications, ideally including those leveraging AI/ML models., • Academic projects, internships, or personal projects demonstrating application of modeling techniques to solve real-world problems are preferred. Skills, abilities, and knowledge: • Superb communication and presentation skills, with an ability to convey complex technical concepts to non-technical audiences (including media teams and clients)., • An ability to translate business challenges from the media buying, activation, and consulting domains into quantitative problems, and solve them effectively using appropriate data science methodologies and tools., • A strong blend of data science expertise and marketing/media acumen, • Proven ownership of projects taken from ideation to completion and impact., • A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others’ work., • Experience working collaboratively on a tech team, with familiarity in cloud technologies (e.g., AWS, GCP, Azure), version control (e.g., Git), etc. Competencies: • Ability to prioritize time, work and effort while multitasking on multiple projects., • Desire to mentor and teach others., • Collaborative attitude., • Self motivated and exhibits initiative., • Willing & able to learn quickly., • Abundant intellectual curiosity and integrity. SOME OF OUR PERKS • Unlimited paid time off, • 401k with company matching and no vesting period, • Annual bonuses, • Generous medical plan, • Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $110K-$130K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-RR1

Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Principal Data Scientist - Stochastic Modeling, you'll utilize advanced quantitative & statistical techniques to drive business model and product innovation for Via. What You’ll Do: • Use Bayesian modeling and stochastic simulations to make inferences and predictions, for example about the behavior of drivers and riders in our deployments., • Own projects end-to-end, including data querying and cleaning, model training, model deployment, and, when necessary, building proof-of-concept web apps that leverage your models., • Hone your presentation and communication skills by giving regular reports on your progress and findings. Who You Are: • Have a Master’s or PhD degree from a top-tier university in neuroscience, physics, biology, math, economics, computer science, operations research, or other highly quantitative field, and a record of exceptional academic achievement., • Have worked in a full-stack setting (from data to proof-of-concept application), or are eager to gain this skillset., • Are hungry for knowledge. You enjoy reading and understanding recent scientific publications, and often build toy implementations of novel techniques to see how they function., • Have completed 2+ projects that utilized Bayesian inference, stochastic modeling, or both, in either an academic or industry environment., • Have written at least 10,000 lines of high-quality functional or object-oriented code in Python or other language suitable for data analytics., • Are a natural relationship builder that values camaraderie, comes with a sense of humor, and doesn't take themselves too seriously., • Can think on your feet and are curious, coachable, and self-motivated., • Are an extraordinary communicator with demonstrated writing, editing and visualization skills What Catches Our Eye: • Prior experience with SQL is a plus., • Authorship of one or more high-impact publications is a plus., • Prior role at a startup, or successful completion of a Postdoc, or experience working in another fast-paced environment is a plus. Compensation and Benefits: • Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable, • Salary Range: $125,000 - $165,000 per year, • We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. We’re Via, and we build technology that changes the way the world moves. We’re driven by a simple mission: to create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. With our best in class suite of products, we make transit thrive. Our teams of world class engineers, data-scientists, product managers, operations specialists, marketers, transit experts and more bring cutting-edge AI-powered software and innovative technology-enabled operations to our partners across the globe. Founded in 2012, Via builds solutions to digitize, automate, and enable data-driven decision making for entire transportation networks; fixed-route buses, microtransit, paratransit, school buses, autonomous vehicles, and more. If you’re excited to be at the forefront of modernizing the future of transportation, are up for solving tough problems, and willing to become/already are a transit nerd, we are the place for you. Even if your past experience doesn’t align perfectly with every qualification in the job description for this role, we encourage you to apply. You may be just the right candidate for this or other opportunities. Ready to join the ride? Via is an equal opportunity employer.

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. As a Data Scientist in Delivery, you are a problem solver and builder who is passionate about creating practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, and you excel at working directly with customers (and often side-by-side with them on-site) to transform cutting edge AI models into tools that are useful and used. You’ve worked on difficult problems that require strong foundations in data driven modelling and deep learning techniques, with hands-on experience in probabilistic methods and predictive modelling. Expertise in python, along with proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with the ability to deploy scalable, production-ready models and data pipelines. With at least 1 year industry experience (post Masters or PhD) in a commercial, non-research environment, you’re ready to hit the ground running. You’re truly excited about growing your technical expertise and are naturally inclined to take ownership of data science work streams, continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. In this role, you’ll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving. You’ll build the foundations for successful, impactful solutions by: • Pre-processing and analyzing data to prepare it for use in predictive modelling, building the foundation for machine learning algorithms to be developed., • Developing and utilizing innovative deep learning models in combination with state-of-the-art optimization methods to predict and control the behaviour of physical systems., • Taking full responsibility for the quality, accuracy and impact of your work., • Designing, building and testing data pipelines that are reliable, scalable and easily deployable in production environments., • Working closely with simulation engineers to ensure seamless integration of data science models with simulations., • Contributing to internal R&D and product development, helping to refine models and identify new areas of application., • Engaging in open communication and presentation with both technical teams and customers, helping onboard users and co-develop with customers., • There is a requirement to travel to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you’ll collaborate closely with customers to build solutions on site. As the role evolves, there are exciting opportunities for growth as an individual contributor or a technical lead, especially if you’re driven by taking ownership of more complex projects and leading the direction of future solutions. Please note, this role is based in Manhattan, NYC, working 2-3 days per week in our office. Our delivery teams drive innovation to turn AI models into practical solutions - ___ • Equity options – share in our success and growth., • 5% 401(k) match – invest in your future., • Flexible working – balance your work and life in a way that works for you., • Hybrid setup – enjoy our Manhattan office while keeping remote flexibility., • Enhanced parental leave – support for life’s biggest milestones., • Private healthcare – comprehensive coverage for you and your family., • Personal development – access learning and training to help you grow., • Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones. We believe diversity fuels innovation, and we're building a culture where everyone belongs. We're proud to be an equal opportunity employer, welcoming talent of all backgrounds, identities, and experiences. Changing the face of tech takes action, which is why we actively encourage individuals from historically underrepresented groups to apply. Salary Range $120,000 - 240,000 depending on experience Seniority will be assessed throughout our interview process We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Principal Data Scientist - Advanced ML and Optimization, you'll utilize advanced quantitative & statistical techniques to drive business model and product innovation for Via. What You’ll Do: • Use optimization theory and/or reinforcement learning and/or graph-based methods to improve transportation networks., • Own projects end-to-end, including data querying and cleaning, model/algorithm development, model/algorithm deployment, and, when necessary, building proof-of-concept web apps that leverage your models/algorithms., • Hone your presentation and communication skills by giving regular reports on your progress and findings. Who You Are: • Have a Master’s or PhD degree from a top-tier university in neuroscience, physics, biology, math, economics, computer science, operations research, or other highly quantitative field, and a record of exceptional academic achievement., • Have worked in a full-stack setting (from data to proof-of-concept application), or are eager to gain this skillset., • Are hungry for knowledge. You enjoy reading and understanding recent scientific publications, and often build toy implementations of novel techniques to see how they function., • Have completed 2+ projects that utilized optimization, reinforcement learning, and/or graph-based methods in either an academic or industry environment., • Have written at least 10,000 lines of high-quality functional or object-oriented code in Python or other language suitable for data analytics., • Are a natural relationship builder that values camaraderie, comes with a sense of humor, and doesn't take themselves too seriously., • Can think on your feet and are curious, coachable, and self-motivated., • Are an extraordinary communicator with demonstrated writing, editing and visualization skills What Catches Our Eye: • Prior experience with SQL is a plus., • Prior experience with graph-neural networks is a plus., • Authorship of one or more high-impact publications is a plus., • Prior role at a startup, or successful completion of a Postdoc, or experience working in another fast-paced environment is a plus. Compensation and Benefits: • Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable., • Salary Range: $125,000-$165,000, • We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. We’re Via, and we build technology that changes the way the world moves. We’re driven by a simple mission: to create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. With our best in class suite of products, we make transit thrive. Our teams of world class engineers, data-scientists, product managers, operations specialists, marketers, transit experts and more bring cutting-edge AI-powered software and innovative technology-enabled operations to our partners across the globe. Founded in 2012, Via builds solutions to digitize, automate, and enable data-driven decision making for entire transportation networks; fixed-route buses, microtransit, paratransit, school buses, autonomous vehicles, and more. If you’re excited to be at the forefront of modernizing the future of transportation, are up for solving tough problems, and willing to become/already are a transit nerd, we are the place for you. Even if your past experience doesn’t align perfectly with every qualification in the job description for this role, we encourage you to apply. You may be just the right candidate for this or other opportunities. Ready to join the ride? Via is an equal opportunity employer.