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Job Description Data Scientist NYC Private Equity - Investment Management Firm J Harlan Group is currently conducting a search for an experienced and highly motivated Data Scientist, at a prominent NYC Private Equity - Investment Manager. An exciting opportunity to join this fast-growing and dynamic investment organization that is experiencing exceptional growth! The Data Scientist will play a critical role in driving data-driven decision-making across the firm's investment strategies, portfolio management, and risk platform. The ideal candidate will bring extensive experience in data science, investment management/strategies and an understanding of portfolio management & risk management. Key Responsibilities: Working in a Hybrid work environment: • You will work closely with verticals, business intelligence analysts, data engineers, and other stakeholders to design, develop and deploy data-driven solutions that drive investment decisions and facilitate improved operational outcome at their portfolio companies., • You will have the opportunity to bring your ideas to life by building on a foundation of strong internal support, clear vision, engaged users and bright, kind teammates., • Analytical Insights: Conduct in-depth analysis of internal or portfolio company data for deep understanding of underlying linear (and non-linear) dynamical structures., • Data Analysis and Modeling: Develop and apply advanced statistical, machine learning and artificial intelligence models in collaboration with internal stakeholders to provide novel insights into operational and investment issues., • Risk Analysis and Management: Work closely risk team to develop and apply data-driven risk models, • ML Ops: Collaborate with data engineers and engineers to design and implement data pipelines, design infrastructure, and enable continuous delivery of high-performing models in production., • Product Management: Work with vertical teams and portfolio company users to identify and concisely describe issues to solve, and subsequently translate and document these in terms of scope and functional requirements., • Collaboration and Communication: Work closely with cross-functional teams, enabling clear communication and broad understanding of models applied and interpretation of results., • Innovation and Best Practices: Stay up to date with emerging trends, technologies and methodologies in data science, machine learning, artificial intelligence, and quantitative analysis. The ideal candidate would have a background including: • Minimum of 3-7 years of experience in Data Science, preferably with experience with the analysis or application of data in finance or economics – specific experience with real assets a plus!, • Strong theoretical background in and practical experience with optimization, statistical techniques, and machine learning & artificial intelligence models, • Strong programming skills in Python (or R or Julia) and SQL, • Extensive experience with standard machine learning libraries (e.g., in Python; Numpy, Pandas, SciPy, Scikit-Learn, PyTorch, TPOT, etc.), • Cloud Platform: Familiarity with cloud-based business intelligence and data analytics platforms (e.g., Azure, AWS, GCP) – and associated ML platforms (e.g., SageMaker, Vertex), • Working knowledge bringing models to production, • Experience with data modeling, data warehousing, and ELT processes, • Strong analytical, strategic thinking, and problem-solving skills., • Excellent communication and interpersonal skills, with the ability to interact effectively with senior management and external stakeholders. Nice to Have: • Monte Carlo Simulation: Experience building Monte Carlo models for time series simulation; experience with VAR or similar a plus., • Domain Expertise: Experience with the analysis or application of data in finance or economics – specific experience with real assets a plus Education: About the Client: The firm is a leading investment manager and private equity firm specializing in the acquisition of transportation equipment and asset operating platforms in the infrastructure sector. The firm targets real asset investment opportunities that are cash yielding with downside protection, and benefit from a team with deep, longstanding relationships and financial and operating expertise. Today, the firm manages over $9bn of assets globally across rail, intermodal, aviation, and emerging technology strategies with office locations in NYC, Chicago and St. Louis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of financial markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior partners in a highly collaborative and charged investment environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients. The estimated salary range is $135,000-$215,000. Employees may also be eligible for an annual discretionary incentive compensation award. Actual base salary may vary based upon, but not limited to relevant skills, experience, qualifications, and geographic location.

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for a Senior Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance. Your work will directly impact our member recommendations and provider-facing data products. You will also be a technical leader, raising the bar for how we conduct analysis, build models, and deploy data science code by improving standards and mentoring team members. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Partner with product managers and clinical experts to lead projects shaping how we define and measure provider cost and quality, • Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors, • Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates, • Partner with data engineers to design scalable data pipelines that ingest, clean, and enrich healthcare provider data, • Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions, • Define data science standards and best practices, and mentor team members to raise the technical capabilities of the data science teamWhat you will bring to the team:, • 5+ years professional experience in data science, product analytics, and/or healthcare, • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders, • Strong Python and SQL skills, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, • Experience working in a rapidly evolving startup environment

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: As a Decision Scientist II, you will collaborate closely with product management, engineering, design, and marketing teams to drive the development, prioritization, and planning of the product roadmap. You will transform insights into decisive actions and product enhancements, providing business teams with actionable insights and investigating issues to empower leadership decisions. Embedded within a dynamic environment, you will design, execute, and analyze experiments to solve complex business problems directly related to growth and success. Close collaboration with stakeholders will be key to your success, as you address challenges and contribute to the continuous improvement of the user experience. We currently have multiple Decision Scientist II roles open across different teams. Please note, we will start with a more general interview process and will then match you accordingly based on interest and experience. Key Focuses: • Define KPIs and create reports and dashboards against large data sets to track performance., • Use data to identify opportunities for improving user acquisition and optimizing return on investment., • Turn ambiguous questions into clear analytical problems and solve them using data., • Become deeply familiar with product data, understanding its limitations and caveats, to support development and growth., • Design, execute, and analyze experiments that drive product growth and improvement., • Bachelor's degree in a quantitative field such as Mathematics, Computer Science, Operations Research, Economics, or equivalent experience., • 3+ years of experience in product analytics, business operations, analytics, growth marketing, or product., • Proficient with A/B testing, experimental design, and utilizing statistical modeling and causal inference to inform business decisions., • Proficient in statistical computing and scripting languages such as Python (numpy/pandas/matplotlib), R, and SQL., • Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Computer Science, Operations Research, or Economics., • Extensive knowledge and practical experience in statistical methods such as causal inference, experimental design, and Bayesian inference., • Competitive salary, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $130,000 - $155,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at:

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.About the Role We're looking for a highly analytical and business-savvy Senior Pricing Data Scientist to join our Pricing Strategy team. In this role, you'll design and execute advanced pricing models, lead experimentation efforts, and uncover insights that power monetization and growth. You'll work cross-functionally with Product, Analytics, Revenue, and Engineering to ensure our pricing strategies are data-driven, rigorously tested, and aligned with customer value. This is a high-impact opportunity for someone who thrives at the intersection of data science, economics, and strategy, and who is passionate about using data to influence pricing, product design, and long-term business outcomes. Key ResponsibilitiesModel Development & Optimization • Design, build, and maintain pricing and demand elasticity models using statistical and machine learning methods., • Leverage behavioral, transactional, and marketplace data to optimize price points, discount strategies, and product bundling., • Develop tools to support scenario modeling, revenue forecasting, and price testing simulations.Experimentation & Testing, • Design A/B and multivariate experiments to test pricing changes, discount strategies, and offer configurations., • Analyze test results with statistical rigor, including significance testing, confidence intervals, and causal inference techniques., • Partner with experimentation platform owners to automate and scale pricing experiments across channels and customer segments.Insight Generation & Strategy Support, • Conduct in-depth analyses of customer willingness to pay, price sensitivity, and competitor pricing strategies., • Deliver insights on monetization opportunities, marketplace dynamics, and revenue optimization levers., • Partner with strategy and product teams to develop recommendations based on model outputs and empirical evidence.Cross-functional Collaboration, • Collaborate closely with Product Managers, Engineers, and Revenue teams to embed pricing intelligence into user experiences., • Translate complex technical findings into actionable business recommendations for stakeholders across the org., • Contribute to roadmap planning, strategic decision-making, and post-launch pricing reviews. What You BringRequired Qualifications • 5+ years of experience in data science, pricing analytics, or quantitative strategy roles., • Advanced proficiency in Python or R, SQL, and statistical modeling techniques., • Strong experience with A/B testing frameworks and causal inference methods (e.g., regression, matching, difference-in-differences)., • Solid understanding of pricing theory, elasticity modeling, and optimization.Skills & Attributes, • Excellent problem-solving and critical thinking skills; able to distill ambiguity into structured analyses., • Business-oriented mindset with the ability to prioritize impact and communicate clearly with non-technical audiences., • Self-starter with a passion for experimentation and continuous improvement.Preferred, • Degree in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative discipline (Master's or PhD preferred)., • Experience in a consumer-facing marketplace, e-commerce, or SaaS environment., • Familiarity with tools such as Looker, Amplitude, dbt, or in-house experimentation platforms. Why This Role Matters Your work will help define how we price, scale, and monetize our products. By bringing science and experimentation to our pricing approach, you'll directly impact revenue growth, customer satisfaction, and strategic decision-making. What We can Offer: • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company off-sites and meet-ups, • Wellness programs

Job Description ✨ About us ✨ Photoroom was launched in 2020 after being accepted into Y Combinator and has become the world's most popular AI photo editor over the past four years. Our mission is clear: to create the best visuals for your commerce. We put the power of great images into more people's hands through our powerful and innovative features, from our best-in-the-world background remover to our generative AI model and tools: AI Images, AI Backgrounds and Shadows, AI Expand, and many more. Processing over 5 billion images a year and downloaded over 200 million times, Photoroom is now the world's #1 AI photo-editing app, available across mobile, web, and via an API in over 180 countries. We are a profitable, remote-friendly company headquartered in Paris with a global team of over 100 world-class deep learning, product, and marketing experts with backgrounds at the world's best companies. Have you ever dreamt of working in Europe, living the Parisian dream? Now is your chance. TL; DR 🤓 Photoroom is looking for a talented Senior Applied Scientist. You will work on several ML solutions, starting from the requirements, literature, and all the way to a product. You will own most of this process, be trusted and have your say on data acquisition, optional labelling, overall strategy and follow ups. Your work will serve millions of users, be useful and be remarked. We are also training an open-source diffusion model from scratch, offering the opportunity to contribute to something cutting-edge and shareable with the broader ML community. 💰 Competitive salary + Stock-Options/BSPCE 🇪🇺 We are flexible: you can work from anywhere in Europe within a 3-hour flight from Paris (HQ) and come to our office once a month (fully reimbursed) or more often. This ensures effective collaboration and supports our commitment to reducing our carbon footprint. ✈️ We offer substantial support for relocation (10k€ signing bonus), including finding an apartment in Paris and supporting you with the visa procedure. 💻 Technology - new MacBook Pro, monitor, keyboard, etc. 🏖️ Socials - Quarterly company retreats, weekly Happy Hour & Game Time 🇬🇧 PhotoRoom is an international team and we work in English. We offer language lessons for those who need them (English & French). ✨ About the role ✨ * You'll be the eleventh engineer in the ML team, working alongside great talent from various backgrounds. * You will have full ownership of your ML work streams when applicable, or work with teammates on big topics. You have expertise and ownership; you have a say in how that goes. * You will master the whole pipeline, from training models to putting them into production and monitoring their performance. * You will work on new features, new applications, and some 0→1 solutions. * You will get fast feedback from our users and will iterate quickly. You will follow the usage of the product and make decisions based on that. * You will work within a small multicultural team composed of ~75 passionate, friendly & committed folks. ✨ About you ✨ * You have 3+ years of experience with PyTorch, Tensorflow or Jax, and are willing to start or keep working with PyTorch. * You have a deep experience with diffusion models, for image creation or edition. You’ve trained diffusion models from scratch, or practiced deep surgery beyond their original pre-training. * You are always the most pragmatic person in the room. * You favor speed of iteration over perfect, always leverage frameworks and libraries to avoid reinventing the wheel. * You have experience working on products requiring complex architectures. * You have a strong sense of ownership. * You take initiative and you are at ease to make product & technical decisions. * You have worked as part of a talented team and have experience in a fast-growing startup. * You’re curious, are comfortable with explaining or learning depending on the situation. The team has deep expertise and values knowledge sharing and humility. * You are fluent in English (French is not required!). ✨ Hiring Process ✨ * Screening call with our Head of AI * Home technical assignment, reviewed with the team * Culture fit interview and meet the team! * Reference check & Offer Support - If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed. Diversity, Equity, Inclusion, and Belonging We're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds. That's also why we have flexible working hours, trust people to work remotely, and extended parental leave. All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We are seeking a highly skilled Staff Scientist to lead the design, development, validation of innovative clinical workflow that can directly impact the diagnosis and treatment for heart disease. In this senior-level role, you are responsible for architecting a cutting-edge product that integrates our existing technologies while pushing the boundary of innovation in cardiac vascular imaging. You will also represent the company in strategic research collaborations with leading academic and clinical institutions, driving innovation at the intersection of AI and cardiovascular health. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly's regulated products. Responsibilities • Research and develop state-of-the-art AI and non-AI algorithms for coronary CT/fluoroscopy imaging applications., • Implement an efficient and robust image processing pipeline to solve challenging problems in low latency environments., • Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams., • Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo,PCCP), including generating evidence and documentation., • Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice., • Communicate findings and strategy to internal stakeholders and leadership through clear technical documentation, presentations, and demos., • Contribute to intellectual property development through patents and scientific publications., • Mentor junior scientists and foster a culture of technical excellence and scientific rigor. Requirements • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 5+ years combined postdoc and/or industry experience; OR an M.S. with 8+ years of relevant experience., • R&D experience in medical image processing, demonstrating subject matter expertise in image quality enhancement, optical flow analysis and 2D&3D rigid/deformable image registration., • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis)., • Strong experience in C++ and Python., • Prior experience with ITK, OpenCV, VTK, CMake, Slicer is a plus, • Prior experience with cardiac motion modelling or tracking is a plus, • Excellent interpersonal, cross-functional, and cross-cultural collaboration skills. Preferred qualifications • 5+ years of industry experience in AI-based medical device development or clinical deployment., • Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways., • Deep domain knowledge in cardiovascular imaging and CT interpretation workflows. TTC*: $265k - $305k *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job Description You could be a data scientist anywhere. Why us? * Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) * Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better) * Disrupt a massive market and take us to a $10B business in the next few years * Be immersed in a talent-dense environment and greatly accelerate your career growth About the opportunity: Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years — scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company’s most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies. Jerry is building the first super app to make car ownership affordable and accessible – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries. Here's what an ex-BCG teammate has to say about joining Jerry: "The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say "key," I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc). The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business. I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason." How you will make an impact: * Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies * Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies * Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth * Identify opportunities to automate manual processes and optimize operational efficiency Preferred experience: * Bachelor’s degree in a quantitatively or intellectually rigorous discipline * 1+ years of experience from a top-tier economic consulting firm (Analysis Group, Cornerstone Research, Charles River Associates preferred) OR 1+ years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis * High level of comfort with SQL or Python Who you are: * You have a framework for problem solving and live by first principles * You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite * You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market. Compensation Range: $100K - $130K

Job DescriptionWhile we don't currently have roles open on our performance team, we're always on the lookout for incredible people, and slowly building a pipeline of candidates for our Performance Technician position. If you feel your experience and interests align with the following, and you're passionate about the space we're in and the athletes we serve, feel free to leave your résumé with us here. The Performance Technician is a part-time, hands-on role responsible for the administration of performance testing batteries within our sports science facility. This position supports a critical tier of our holistic human performance assessment, producing key metrics used by our medical and performance teams. As the in-person representative of our organization, the Performance Technician plays a pivotal role in delivering an exceptional member experience. The role involves direct engagement with elite and avid athletes, guiding them through sport-specific performance tests in a way that is clear, engaging, and aligned with their goals. We’re looking for someone with high energy and enthusiasm—someone who can keep members engaged, motivated, and excited throughout the full assessment experience. Technicians are expected to follow standardized procedures, operate cutting-edge sports science technologies, collect and organize performance data, and summarize key findings for internal stakeholders. Success in this role requires a strong background in coaching, customer service, sports science, and exercise physiology, as well as a deep appreciation for holistic health and wellness in the context of athletic performance. This position is based in New York City.Education & Certifications • Bachelors in Kinesiology/Exercise Science, or similar, • Certified Personal Trainer, Certified Strength & Conditioning Specialist, Clinical Exercise Physiologist, or similarExperience, • 2+ years experience as a Sports Scientist, Sports Performance Coach, or Personal Trainer, using data to drive clinical/performance decision making2+ years experience in a customer relationship rolePersonality, • Natural Leader: Unique ability to open doors in the potential of others, guiding them and supporting them toward their best, • Adaptable Conversationalist: Highly sociable, with an organic ability to form quick relationships; can quickly read the personality-type of a member, and adapt conversation style & tone accordingly, • Consistent Bringer of Energy: Contagious enthusiasm, that motivates members to engage and participate to the top of their abilities; consistently creates a lively environment, • Detail Oriented: Incredibly organized and attentive to detail, meticulous in assessment setup, flow, delivery, and data collection; thrives in a repeatable system mentality, • Confident Salesperson: Can comfortably explain the “why” of granular tests and holistic health, in a way that is individualized and sports-specific, • Health and Performance Obsessed: walks the talk of our members; active to the point of obsession, dialed and focused on personal holistic health principles (nutrition, sleep, mental health), believes and practices the necessity of taking proactive steps to improving life-long athleticismNice to Have, • Personal experience as an avid athlete or endurance sport competitor (specifically running or cycling), • Familiarity with DEXA body composition analysisResponsibilities, • Administer the sports specific testing batteries for members, including tests specific to mobility, motor control, strength, power, and aerobic capacity, • Learn and perfect the standard operating procedures of the test batteries (setup, directions, cues), ensuring the overall testing experience is seamless and repeatable, • Efficiently and accurately organize all data and results into the internal athlete management system, • Collaborate cross functionally with the medical and performance team, to ensure the athlete’s performance (both quantitative and qualitative) is fully understood, • Continually research performance tests, to assist in perfecting the companies testing batteries from an evidence based lens

Job Description About HRW Do you take pride in making a difference? Do you want to be part of a global market research team delivering scientifically grounded, powerful insights to pharmaceutical and healthcare clients? Do you want the opportunity to further your career? How about joining a dynamic, award-winning, and passionate team? At HRW, we are market research practitioners in the healthcare, pharmaceutical and device and diagnostics space, with a wealth of experience in a wide range of therapy areas, ranging from asthma to zoster and everything in between. Founded in 2001, we are a recognized thought leader in this industry and love to present, publish and discuss the latest innovative developments to help us ‘access reality’- our continuous quest to get beneath the surface and truly understand people’s behaviour and the decisions they make at a deeper level. About HRW Shift At the heart of how we at HRW ‘access reality’, HRW Shift is the healthcare market research industry’s largest and most awarded behavioral science team, comprised of ten multi-disciplinary experts in behavioral science. The Shift team use observations from market research projects and apply their expertise in behavioral science to describe the cognitive mechanisms underpinning the observed behaviour, then take it further with behaviour change modelling to recommend evidence-based strategies, tactics, and ‘nudges’ that our clients use to overcome barriers and connect with their customer groups. Our team is hiring for a Behavioral Science Analyst. Below are the job details. BEHAVIOURAL SCIENCE ANALYST This Behavioral Science Analyst will interpret observations from healthcare research data (quantitive survey results, qualitative interview recordings, transcripts, content analysis, online communities, social media data, or ethnographic observations): describing behavioral patterns, citing evidence, and applying a range of behaviour change models to recommend evidence-based strategies to support positive behaviour change for our clients. This role will work independently and alongside other members of the HRW shift team (with expertise in the same or complimentary disciplines) as well as various research, account development, and project teams across the company’s client service hubs in Oxford, London, and New York. Your projects and behaviour change objectives will be diverse, including emerging and established healthcare products from over-the-counter consumer healthcare to pharmaceutical and medical devices, Addressing the interplay between a range of stakeholders including primarily healthcare professionals and patients (but occasionally pharmaceutical sales representatives, pharmacy staff, health system executives, and the public) Reports to Behavioural Scientist on the HRW Shift team. Primary Responsibilities • Identifying the presence of observations with behavioral significance (being able to recognize clues of behavioral traits, biases, heuristics, or logical fallacies) in market research data, • Codifying and organizing existing HRW authored behavioral content into a library, • Mapping observations on to behaviour change models and consulting evidence about effective behaviour change strategies as well as thinking obliquely and creatively about tailored applications for client problems, • Working on a variety of domestic and global projects simultaneously: working quickly (most projects complete in an 8–12-week timeframe) to analyze, conduct desk research, and think creatively about evidence-based next steps for client problems in a regulated environment, • Bachelors and/or master’s degree in cognitive science, social psychology, behavioral economics, neuroscience, or industry experience in similar disciplines., • Deep understanding of behavioral science experience applying those concepts to diverse situations, • Superb written and oral communication skills. Ability to synthesize complex information and communicate it in a clear and engaging way, • Ability to engage effectively with a wide range of people, including senior executives, academics, research peers, and clients, • Capable of balancing priorities of simultaneous projects and demands, • Excitement and interest in expanding applications of advanced behavioral science: an intra-prenurial mindset for better applications of behavioral science, hunger for knowledge, and desire to evangelize behavioral science., • Knowledge of qualitative and/or quantitative research methods preferred, • Working knowledge of statistical analysis methods and quantitative analysis preferred, • Experience designing and running experiments or RCTs preferred, • Master’s degree, PhD, or previous experience in a behavioral science-related commercial/consulting role preferred Hybrid office working in place: Manhattan, NY, minimum 2 days per week in office. During training & induction, it may be necessary to be in office more frequently. Please note that relocation is not offered with this role Year one starting salary for this role will be £70,000 This role is expected to commence September 2025 but an earlier summer joining date may be considered Benefits Teams who play together, stay together and in addition to our regular company days, and our many diverse social activities, we also recognise the importance of holistic wellbeing and value benefits including but not limited to: • 4 pm finishes on a Friday, • Flexible working hours and home working permitted (subject to business requirements), • Regular company off-site meetings, socials, and training days, • 4pm finishes on a Friday, • Flexible working hours and home working permitted (subject to business requirements), • Regular company off-site meetings, socials and training days, • Social events including breakfasts, lunches and drinks, • Office Wellness Initiatives - Including Wellbeing Wednesday, Healthy snacks, adhoc onsite treatments, • Access to a discount portal providing hundreds of discounts for popular products and services, • Competitive annual leave allowance, • Private Medical Insurance, • Rest time scheme, • Birthday off, • Volunteer days

Job DescriptionValence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re not just talking about the future of work — we’re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate — the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn’t for everyone. We’re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what’s possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The RoleIn this role you’ll be critical in shaping how data informs decisions across our product, customer, and go-to-market teams. You’ll uncover user behavior patterns, operational performance insights, and commercial opportunities — all while helping to lay the foundation for a scalable, insight-driven data culture. You'll collaborate deeply with leaders across Product, Engineering, Sales, and Customer Success to ensure we’re making the smartest possible decisions from day one. About ValenceWe're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb. Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.What You'll Do • Product & Customer Analytics, • You will analyze platform usage, feature engagement, and user interaction with our AI-powered coaching tools to surface actionable insights., • You’ll identify friction points and areas of opportunity across key user journeys., • You’ll support rigorous A/B testing, evaluate AI model performance, and help assess the impact of new features on user experience and outcomes., • Reporting & Visualization, • You’ll develop self-serve dashboards and recurring reporting frameworks to democratize access to data across teams., • You will translate complex data into clear, compelling stories for technical and non-technical audiences to support data-informed decision-making., • Data Infrastructure & Collaboration, • You’ll collaborate with Product and Engineering teams to define tracking requirements and ensure accurate, consistent data collection., • You’ll identify and recommend improvements to data processes that enhance quality, efficiency, and trust in analytics across the organization.What We’re Looking For, • You have 2+ years of experience in a data analytics role, ideally within a B2B SaaS or AI-focused startup environment., • You hold at least a Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field., • You are highly proficient in SQL and comfortable writing complex queries and working with diverse database structures., • You have hands-on experience with Python (using libraries like Pandas, NumPy, Matplotlib, or Seaborn) or R for data analysis and visualization., • You’re familiar with BI tools such as Tableau, Looker, Power BI, or equivalent platforms., • You’re familiar with using Excel or Google Sheets for ad hoc analysis and data exploration., • You may also bring experience with product analytics platforms (e.g., Mixpanel, Amplitude), cloud environments (e.g., AWS or GCP), or data warehousing concepts., • You know how to break down complex business problems into structured analyses., • You are skilled at identifying trends, patterns, and outliers in data to uncover key insights., • You can clearly communicate findings—both in writing and verbally—to technical and non-technical stakeholders alike., • Nice to have: You’ve worked in a fast-paced, early-stage startup, you bring familiarity with AI/ML concepts, you understand SaaS metrics and enterprise customers.What you'll get, • Ownership & Rapid Growth, • Outsized missions from day one, with direct responsibility for company-defining projects, • Work alongside the executive team with transparency into strategy and decision-making, • Influence on direction through real-time customer feedback and market insights, • AI-First Operator, • Work directly with cutting-edge AI models and next-generation platforms, • Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries, • Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale, • Compensation, • Competitive salary including base + bonuses, • Comprehensive health coverage (medical, dental, vision) from day one, • Generous PTO, company-wide R&R shutdowns, and paid parental leave, • Retirement plan support for US and global employees, • Equity, • Meaningful ownership in a venture-backed company at a growth inflection point, • Financial upside that comes from scaling fast, • Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact, • Top-Performing Culture

Job Description 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., • 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. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. 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.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job Description 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 Administrator at S4 Market Data will oversee the administrative functions of client projects and be responsible for supporting the overall service delivery of our managed services with respective clients. This position will manage market data service inquiries from clients as it relates to inventory management, procurement requests and renewals, and supporting the lead analyst with any project/task based related inquiries. The ideal candidate will have market data administrative experience; performing moves/adds/changes in inventory (FITS/MDSL), updating contract/pricing records, and reconciling invoices. Having a financial and/or consulting background for this role is preferred. Responsibilities: • Handle day-to-day administrative inquiries from internal business units and our lead analysts, including but not limited to; entitlement requests, moves/adds/changes requests, inventory management, procurement/legal approval, expense allocation, and invoices reconciliation., • Keep an updated inventory of contracts, services, pricing, users, and vendors. Perform month-end reconciliations and ensure that our data is always accurate and current., • Interact with the client’s various internal stakeholders and business units; technology, legal, accounting/finance, human resources, and investment managers. Resolve any procurement issues., • Provide client and project support for our lead analysts and perform analyses or data related tasks in Excel as requested., • Support lead analyst with any internal client SLA reporting for regular team meetings and client deliverable updates., • Relevant experience in financial services or market data or work experience in consulting is preferred. Knowledge of FITS/MDSL inventory systems is preferred., • Experience working with Market Data vendors such as Bloomberg, FactSet, Exchanges (NYSE, ICE, etc.). Intermediate Excel skills are required., • Excellent communication and task/time management skills are preferred. Display a high level of time management skills in order to manage multiple and elaborate requests simultaneously. bdi7TIjcbc

Job DescriptionSummary The Astrophysics Institute at Schmidt Sciences seeks a Data Management & Software Systems expert to guide the design and implementation of next-generation data management systems for astronomy. This role is ideal for a technically fluent leader who bridges astronomy, data engineering, and software architecture — someone who understands the full life cycle of astronomical data and can oversee complex, distributed systems built to serve the global scientific community. The successful candidate will help shape the Institute’s data management strategy, overseeing teams and partners building data pipelines, archives, and user-facing tools for ground- and space-based observatories. This is a rare opportunity to define how philanthropy can accelerate scientific discovery through robust, open, and interoperable data infrastructure. Schmidt Sciences Schmidt Sciences is a philanthropy dedicated to fostering the advancement of science and technology. We approach this by identifying under-supported or unconventional areas of exploration and discovery in order to accelerate and deepen our understanding of the natural world and develop solutions to global issues. We seek ideas, people, and techniques across disciplines of science and technology to catalyze results for society. Our focus areas include AI and Advanced Computing, Astrophysics and Space, Biosciences, Climate, and Cross-Science programs. The Astrophysics Institute at Schmidt Sciences aims to rapidly expand our knowledge of the universe through the creation of innovative hardware and software platforms. This includes the development of computational tools and frameworks, ground and space-based instrumentation, and the promotion of fresh approaches to technological advancement that develop resources at a fraction of the typical time and cost. The Role Reporting to the Director of the Astrophysics Institute, the Data Management & Software Systems Expert will guide the architecture, integration, and strategy of data management systems across the Institute’s observatory and mission portfolio. This person will define system-level requirements, evaluate technical designs, and ensure that data infrastructure developed by partners and grantees meets the highest standards of interoperability, performance, and accessibility. They will be responsible for identifying and selecting qualified external vendors and contractors, establishing contractual agreements, and overseeing their work throughout project lifecycles. They will not necessarily write production code but must understand the systems deeply enough to direct, review, and synthesize the work of multiple teams. Key responsibilities for this role include the following: Data Systems Architecture and Strategy • Develop and refine the architecture for data management systems supporting Schmidt Sciences–funded observatories and instruments., • Define system-level requirements and workflows — from raw telemetry to science-ready archives — ensuring scalability, reproducibility, and open access., • Establish technical standards and documentation frameworks for data pipelines, archives, and analysis services.Implementation Oversight and Integration, • Advise or oversee technical teams and partner institutions implementing data infrastructure and software., • Evaluate and select technologies that support long-term data operations and community access., • Ensure seamless integration between data management systems, observatory operations, and user-facing science tools., • Maintain high standards of reliability, transparency, and sustainability in system design.Data Stewardship and Standards, • Champion best practices in data quality, provenance, and reproducibility., • Represent Schmidt Sciences in community initiatives on data standards, interoperability, and open-source development., • Promote alignment with community best-practices (e.g., FAIR data principles,IVOA protocols).Collaboration and Leadership, • Act as a bridge between astronomers, software engineers, and data scientists, translating scientific needs into actionable system requirements., • Mentor and advise teams on data architecture and software design practices., • Convene or participate in workshops and collaborative efforts to advance community data infrastructure.Requirements, • Advanced degree (Ph.D. or equivalent experience) in Astronomy, Astrophysics, Computer Science, or a closely related field., • Minimum 8 years of experience in the design, development, or management of large-scale astronomical or scientific data management systems., • Proven ability to define and lead technical architectures for complex, distributed data pipelines and archives., • Deep understanding of astronomical data life cycles, from instrument telemetry through calibration, reduction, curation, and scientific dissemination., • Familiarity with software engineering best practices, including version control, testing, documentation, and continuous integration., • Experience supervising technical teams (software engineers, DevOps, or data pipeline scientists) or coordinating multi-institutional collaborations., • Strong communication skills with the ability to translate between software engineers and scientists., • Demonstrated success working across interdisciplinary, multi-organization projects., • Based at one of Schmidt Sciences’ offices (New York, Baltimore), with the ability to travel periodically to partner sites and observatories.Desired Additional Skills, • Expertise with data pipeline and open source data management technologies, such as Apache Airflow, Kubernetes, PostgreSQL, Elasticsearch, object storage (e.g., S3-compatible)., • Experience architecting systems that serve petabyte-scale datasets and support high-throughput data access or query workloads., • Familiarity with cloud computing (AWS, GCP, Azure) and hybrid deployment strategies for science operations., • Knowledge of astronomy data formats and standards (FITS, VO protocols, ObsCore, TAP, ADQL)., • Understanding of FAIR data principles, data provenance systems, and long-term data stewardship., • Experience leading open-source scientific software projects or contributing to major community codes (e.g., Astropy, LSST stack, ESA Gaia tools)., • Awareness of machine learning and AI-assisted data processing trends relevant to next-generation observatories., • Comfort with prototyping, evaluating, and documenting new technologies and operational models.This is an exempt role.

Job Description Opportunity for a Senior Data Scientist (LLM/NLP Focus) Do you thrive at the intersection of language, logic, and learning systems? A confidential team is seeking a seasoned builder of smart systems — someone who speaks fluent Python and thinks in embeddings. This is a hands-on role for someone who’s been deep in the weeds of GenAI, LLMs, and NLP — and wants to push boundaries in applied research with real-world impact. What You’ll Be Doing • Crafting custom models for stream and batch pipelines — think GenAI, LLMs, NLP, and ML., • Working across ingestion, retrieval, RAG, fine-tuning, and prompt design., • Partnering with internal teams to make sure your models don’t just work — they work well. Who You’ll Be Working With • Product thinkers, engineers, and ML folks who care about performance and precision., • A collaborative crew that values experimentation and iteration. What You Bring • Advanced degree in a technical field (CompSci, Stats, Linguistics, etc.)., • Experience with tuning open-source LLMs and staying current with open-source trends., • 8+ years wrangling structured/unstructured data for insights and automation., • 3+ years hands-on with Python and libraries like Hugging Face, PyTorch, TensorFlow., • Deep experience with transformer-based NLP models and semantic search. Logistics & Perks • Hybrid setup — you’ll need to be able to drop into a workspace in the Northeast US (NY/NJ area)., • Compensation: $150k–$210k base + bonus + benefits + sign-on

Job DescriptionAt PortPro, we are revolutionizing the drayage industry with our premier web-based operating system. As a fast-growing company, we are building out the most comprehensive technology platform to optimize supply chains and make them more efficient. By joining our team at the ground level, you will have the opportunity to be a part of our company's growth and expansion as a global organization, while also making a significant impact on the world. Supply chains are a crucial part of the global economy, and by working to improve them, we are not only solving problems for our own benefit, but for the benefit of society as a whole. PortPro is seeking an experienced Data Scientist to join our team. The ideal candidate will have a robust analytical skill set, experience with machine learning algorithms, and the ability to derive insights from complex data sets. Additionally, you should be comfortable writing code, preferably with Node.js, and have familiarity with the Amazon AWS technology stack. This role involves working closely with our product teams, as well as offshore teams, to provide data-driven insights that will influence the direction of our SaaS products. Excellent collaboration and communication skills are required, as well as the ability to operate effectively within various time zones.Key Responsibilities • Leverage large and complex datasets to explore, discover, and identify patterns, trends, and insights that can influence strategic business decisions., • Develop, validate, and deploy predictive models and machine learning algorithms to solve business problems., • Write code to automate data processing and aggregation tasks., • Collaborate with cross-functional teams to understand business needs and provide data-driven solutions., • Present findings in a clear and easily understandable way to non-technical stakeholders., • Work closely with both onshore and offshore teams to deliver data-driven projects on time and to specification., • Continuously learn new technologies and stay up-to-date with the latest industry trends in data science.Qualifications, • 4+ years of experience as a Data Scientist or in a related role., • Strong knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc., • Experience in data mining, statistical modeling, and data visualization tools., • Proficiency in programming languages such as Python, R, SQL, and Node.js., • Experience working with Amazon AWS technology stack., • Experience with data science toolkits, such as NumPy, Pandas, Matplotlib., • Familiarity with Big Data tools and platforms, such as Hadoop, Spark, or similar., • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy., • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.Our team is like family. Working at PortPro, we want you to feel like you are part of the bigger picture, not just working for yourself. We work in a no-drama, no-ego environment We work together and collaboratively to achieve the same goal. We are a team of smart, kind, hard working people. You’ll be surrounded by those that inspire you to bring your best self to work each day. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany Overview:Established in 1805, the New York City Department of Health and Mental Hygiene (the NYC Health Department) is the oldest and largest health department in the country. Our mission is to protect and improve the health of all New Yorkers, in service of a vision of a city in which all New Yorkers can realize their full health potential, regardless of who they are, how old they are, where they are from, or where they live. As a world-renowned public health agency with a history of building transformative public health programming and infrastructure, innovating in science and scholarship to advance public health knowledge, and responding to urgent public health crises — from New York City’s yellow fever outbreak in 1822, to the COVID-19 pandemic — we are a hub for public health innovation, expertise, and programs, and services. We serve as the population health strategist, and policy, and planning authority for the City of New York, while also having a vast impact on national and international public policy, including 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 racial and social justice work, among others. Job Summary:The Bureau of Data Technology and Strategy seeks a Data Science Associate to provide technical support for the application of data science to study public health outcomes and solutions. The Data Science Associate will engage in the implementation of AI/ML research tools, bringing in-house solutions to scale, and adapting developed technologies to new use cases. Problem-solving and stakeholder engagement skills will be applied in the public health setting to facilitate research, advanced analytics, and operations. The Data Science Associate will regularly interface with data engineers, data product developers, and data governance staff to integrate and maintain novel solutions into an enterprise data platform. The Data Science Associate will provide technical assistance to Agency users to promote and maintain the use of AI/ML technology solutions. The Data Science Associate will also provide support to the Senior Research Data Scientist for proposal development including technical advisement on analytic approaches and methods, technology resource requirements, timelines, and intended outputs. The successful candidate will be situated within a values-driven and highly collaborative work unit with strong technical and professional mentorship; professional development opportunities will be continuously available. This position will be within the Health Department’s innovative Center for Population Health Data Science (CPHDS). The CPHDS is working to strengthen citywide population health surveillance by better linking public health, healthcare, and social service data to fully characterize and improve the health of New Yorkers. Our vision is for these data tobe accessible, timely, equitable, meaningfully usable, and protected – and being actively to protect and promote health and wellbeing of New Yorkers. The selected candidate will be an employee of Public Health Solutions, a nonprofit organization which is the fiscal and administrative manager of the grant, but the work be supervised by DOHMH. This position will be based at the Health Department’s office in Long Island City, NY, with the possibility of hybrid work. Responsibilities: • Support research that strengthens public health insights and actions through the use of data scientific methods, especially reusable, scalable AI/ML methods, • Identify and/or assist development of AI/ML methods and/or practices; promote them to agency’s data analysts, data engineers, data scientists, and researchers through trainings and/or reports, • Contribute to development of health equity-focused data products, • Collaborate with CPHDS data engineers, product developers, product managers, and researchers to develop and launch public health analytic solutions for the Agency and the public health community at-large, • Collaborate with internal and external researchers and analysts for various research projects, • Author reports, presentations, and scientific papers based on analyses Qualifications:, • A minimum of 2 years of work experience in statistical learning development, with some work experience in the development of deep learning algorithms, • High fluency in the Python programming language is required, with proficiency in one of the deep-learning frameworks PyTorch or Tensorflow, • Experience in virtualization technology, particularly with working experience in cloud environments (e.g., Azure, GCP, AWS, Databricks), • Experience in the development and deployment of foundation models, • Advanced knowledge and experience in data wrangling, analysis, and visualization, • Knowledge of public health research and operations, including health equity, • Experience developing user interfaces and dashboards, working with geospatial data a plus, • Ability to work with staff at all levels and to communicate complex technical knowledge in language that is understood at every level, • Hybrid Work Schedule., • Generous Paid Time Off and Holidays., • An attractive and comprehensive benefits package including Medical, Dental and Vision., • Flexible Spending Accounts and Commuter Benefits., • Company Paid Life Insurance and Disability Coverage., • 403 (b) + employer matching and discretionary company contributions., • College Savings Plan., • This individual must reside in the tri-state area (NY, NJ, CT) by their confirmed start date., • Preference may be given to individuals residing in New York City (5 boroughs) or surrounding New York State counties., • This individual will be expected to work non-business hours during emergencies., • This is a temporary grant-funded position ending in November 2027 At PHS, we place immense value on diversity within our teams, understanding that varied backgrounds and experiences significantly enhance our community and propel us toward our goals. If you find you don’t have experience in all the areas listed above, we still encourage you to apply and share your background and experiences in your application. We are eager to discover how your unique perspective can bring positive transformations to our team and help advance our mission of creating healthier, more equitable communities. We look forward to learning more about you! PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans. Monday-Friday Hybrid 35 Hours Per Week

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role Oscar is in a unique position to drive impact through high engagement with members and a variety of high-tech touchpoints (such as virtual care or superagent).The Senior Data Scientist develops personalized multi-channel marketing campaigns to influence behaviors that Oscar members take that are key to their health. You will ideate, scope business cases, design targeted pipelines by using predictive models, launch campaigns, monitor and optimize campaigns in real time to attribute best performing marketing variants, and measure campaigns. This will involve research, pipeline/ML model development, optimization techniques such (e.g. MAB), and measurement techniques (traditional statistical and casual machine learning). You work cross functionally with marketing and clinical teams, dedicated to a specific goal of lowering medical cost. You will have accountability for the success of each campaign. You will report to the Senior Director, Data Science. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158.400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Works with team and manager to impact longer term strategies and roadmap, • Sets shorter term roadmap for team, • Interacts and collaborates closely with data and business counterparts across functional areas, • Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses, • Compliance with all applicable laws and regulations, • Other duties as assignedQualifications, • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processingBonus points, • Advanced degree in a quantitative or technical field This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Notice to Job Applicants.

Job Description Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team! Brigit is doing innovative and exciting work, but don’t just take our word for it, our work is being recognized by others: * Built In's 2025 Best Places to Work For In New York City * Built In’s 2024 & 2025 Best Startups to Work For In the U.S. * Built In’s 2023 - 2025 Best Startups to Work For In New York City * Fast Company’s Most Innovative Companies of 2022 * Business Insider’s Most Promising Consumer Startups 2022 * Forbes Fintech 50 2022 Role Overview: As a Data Scientist on our team you’ll be responsible for building/improving/maintaining the most important models which focus on this: * Identifying credit risk for our customers so that we can help more people in need when they need it * Optimizing our marketing spend by predicting LTV for our customers * Helping us reduce our overall churn by predicting customer churn and improving retention We have access to rich, structured data that we can use to derive insights and build complex models. In addition to supporting broad analytics use cases when needed, you will work closely with our Product and Engineering teams. What you’ll be doing: * Build, test and roll out new underwriting and risk models to understand the risk of our customer base and improve access for our prospective customers by allowing us to take more calculated risks. * You’ll have ownership of the full modeling lifecycle and get to carry your changes all the way through to our decision process, getting to realize every bit of impact along the way. * Build, test and roll out other customer related models (such as Churn propensity and LTV prediction) which help us analyze and optimize our marketing and retention efforts. * Monitor the performance of the models in production and take appropriate actions when necessary * Analyze how our customer base is shifting as we grow and pinpoint areas we can improve. * Help our existing engineering and business teams track their goals, supporting the BI function from time to time to time with ad-hoc data analytics What you have: * Advanced degree in data science, statistics, computer science, or related field. * 3+ years of experience doing data science (modeling + analysis) * Proficiency in Python and in-depth understanding of SQL * Competent in machine learning principles and techniques * Experience in python, using industry standard modeling toolkits like sklearn, jupyterlab, pandas, matplotlib, statsmodels, etc. * Experience in writing complex SQL queries and the ability to put together multiple data sources together * Ability to get the train data, train the model, do hyper parameter tuning, perform validation, run the A/B test, do performance monitoring and model monitoring * Experience building classification and prediction models, testing them in a startup environment and iterating to improve their models. * Ability to work effectively and communicate ideas/code clearly in a cross functional team environment (Engineering, Product and Business teams) * ML model deployment in production experience is a plus * Technical presentation skills is a plus * Experience working in B2C, marketplace, lending, or subscription oriented business is a plus The anticipated annual base salary for this position is $165,000 - $190,000. This range does not include any other compensation components or other benefits for which an individual may be eligible. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. Our Benefits & Team * Medical, dental, and vision insurance * Flexible PTO Policy * 401k plan * Paid Parental Leave * Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support * Monthly reimbursements to use against wifi and cell phone bills * Annual reimbursement for Learning & Development * Help hard working Americans build a brighter financial future * High-growth company * A dynamic, flexible and collaborative start-up work environment with a highly talented team Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email . Disclosures: * For information on our data privacy policies, see the Brigit California Personnel Privacy Policy. * Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for a Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance – e.g., answering questions like, how do we know which providers deliver better surgical outcomes or what data concepts do we need to build out to improve our analysis. Your work will directly impact our member recommendations and provider-facing data products. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Partner with data scientists and clinical experts to shape how we define provider performance metrics, apply statistical rules, and model provider behavior, • Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors, • Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates., • Design scalable data pipelines that ingest, clean, and enrich healthcare provider data., • Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions.What you will bring to the team:, • 2-5 years professional experience in data science, product analytics, and/or healthcare., • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders., • Strong Python and SQL skills., • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success., • Experience working in a rapidly evolving startup environment., • A desire to be a part of our mission to improve the U.S. healthcare system.Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.Technologies we use:

Job DescriptionAbout Amigo Amigo builds trust and safety infrastructure for AI in mission-critical environments. We partner with organizations in healthcare and other regulated sectors to deploy AI systems that operate reliably when the stakes are highest. Our infrastructure enables verification, monitoring, and real-time oversight—ensuring AI serves people safely at scale. We've raised $6.5M from General Catalyst and GSV Ventures. Our team combines expertise in distributed systems, quantitative research, clinical operations, and regulatory environments to build AI that organizations can trust. About this role As an Applied Scientist - Human-Centric Modeling at Amigo, you'll develop models that capture the complex dynamics of human behavior in healthcare contexts. You'll design systems that model patient-provider interactions, population-level health behaviors, and the human factors that influence healthcare outcomes. Your work enables our AI systems to optimize around human-centric problems by understanding and predicting human behavior patterns in clinical settings. What you'll do * Design models of human behavior in healthcare contexts, including patient-provider interactions * Build population-level models that capture demographic variations and health behavior patterns * Create systems that model healthcare workflows and human decision-making processes * Build frameworks for understanding and modeling bias in human healthcare decisions * Design systems that optimize AI behavior for human-centric outcomes * Collaborate with healthcare professionals to ensure models reflect clinical reality What we're looking for * Strong background in behavioral modeling or human-computer interaction * Experience with statistical models for human behavior prediction * Knowledge of healthcare systems and clinical workflows * Understanding of statistical methods for analyzing human behavior data * Track record of building models that capture complex human behavior patterns Nice to have * Healthcare industry experience or clinical research background * Experience with conversational AI or dialogue systems * Background in health psychology or behavioral economics * Knowledge of healthcare regulations and patient privacy requirements Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth * Daily catered lunch and dinner Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Development setup of your choice * Academic collaboration opportunities Compensation Range: $150K - $300K

Job DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. About The RoleVaro represents a new generation of fintech built on technology and innovation to empower consumers. We serve millions of Americans with our mobile app to make digital banking easy, convenient, and personalized. As a Senior Data Scientist (Machine Learning), you’ll get the chance to develop innovative models that affect millions of users in the fintech space. You’ll work with experienced Machine Learning Scientists as well as collaborate with your peers on exciting science problems in the fraud detection, risk modeling, personalization, operations, and causal inference spaces. About the Data Science TeamVaro’s Data Science Team develops Machine Learning models that make it easier for the right people to get access to funds, help protect customers from fraudsters, and transform the in-app experience with real-time recommendations. Unlike some organizations where data takes a support role, here at Varo data science is front and center. Since we are in hyper-growth mode, you will get to work on the most impactful data science problems from day one. We rely on advanced techniques in machine learning, cloud platforms, and data technology. We’re a team of PhDs and ex-academics with a collegial work atmosphere. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other and want to solve interesting problems to propel the company’s growth, apply now!What you'll be doing • Develop production-grade ML algorithms, such as fraud detection algorithms, recommender systems, dynamic credit risk models, and large-scale causal inference models, as well as processes for monitoring and analyzing their performance, • Leverage large data sets from different sources, and use modern modeling techniques such as tree-based methods, neural networks, and reinforcement learning to increase and optimize customer experiences, customer acquisition, underwriting, and other business outcomes, • Work with stakeholders throughout the organization to identify opportunities for driving business decisions or improving our product suite with ML, • Collaborate cross-functionally with the engineering team to deploy models and monitor outcomesYou’ll bring the following required skills and experiences, • An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc., • 4+ years of experience as a Data Scientist, Machine Learning Scientist, or Research Scientist as an individual contributor, including but not limited to relevant experience from your PhD research, • Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks, • Experienced in using Python for analysis, modeling, and visualization (numpy, pandas, scikit, nltk, matplotlib, etc.), • Ability to thrive in a fast-paced environment, • Strong bias for action and team player About VaroVaro launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We’re a new kind of bank – all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. We are growing quickly in our hub locations of San Francisco, Salt Lake City, and Charlotte along with colleagues located across the country. We have been recognized among Fast Company’s Most Innovative Companies, Forbes’ Fintech 50, and earned the No. 7 spot on Inc. 5000’s list of fastest-growing companies across the country. Varo. A bank for all of us. Our Core Values- Customers First- Take Ownership- Respect- Stay Curious- Make it Better Learn more about Varo by following us:Facebook - - - Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings!Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Does getting in on the ground floor as an initial stakeholder, building out your own team, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands to million dollars that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading. You will do things like , use machine learning techniques, build recommendation systems, and develop internal A/B testing procedures, and automation creation reporting. RESPONSIBILITIES · Selecting features, building and optimizing classifiers using machine learning techniques · Data mining using state-of-the-art methods · Enhancing data collection procedures to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Doing ad-hoc analysis and presenting results in a clear manner · Creating automated anomaly detection systems and constant tracking of its performance · Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models. · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. · Research and implement novel machine learning and statistical approaches QUALIFICATIONS · Excellent understanding of machine learning techniques and algorithms · Experience with common data science toolkits and data visualization tools · Proficiency in using query languages such as SQL, Hive, Pig etc. · Good applied statistics skills, such as distributions, statistical testing, regression, etc. · Good scripting and programming skills such as Python · Bachelor’s degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred · Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights · Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job Description Who We Are At Moxxi, we're redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we're building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We're passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you'll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. The Role: We are seeking an experienced and business-savvy Senior Data Analyst to join our team. In this role, you will be a key partner to our product, engineering, operations and business teams, delivering actionable insights that drive strategic decisions. As Senior Data Analyst, you will report directly to the Chief Product Officer and co-founder, with a direct line into engineering. You will be responsible for diving deep into our vast array of data to understand user behavior and marketplace dynamics. In addition, you will build and maintain data pipelines and dashboards, influence strategy on how data models can drive value in the product, and more. The ideal candidate is a self-starter who is comfortable with the entire data lifecycle, from extraction and transformation to analysis, presentation and modeling. Responsibilities: • Partner with stakeholders across the company to understand their business needs and translate them into data-driven questions and analyses., • Design, build, and maintain scalable and reliable data pipelines and ETL/ELT processes to support our analytics needs., • Conduct in-depth analysis of large, complex datasets to identify trends, patterns, and opportunities for growth., • Develop and maintain statistical models to forecast key metrics and predict user or partner behavior and outcomes., • Develop and maintain dashboards and reports to track key performance indicators (KPIs) and provide visibility into business performance., • Partner with product and business teams to drive consensus on definitions and standardization of metrics., • Communicate findings and recommendations to both technical and non-technical audiences in a clear and concise manner., • Collaborate with product and engineering to apply statistical and machine learning concepts to solve business problems., • 5+ years of experience in a data analyst, business intelligence analyst, data scientist, or similar role., • Proven experience in designing, building, and maintaining data pipelines., • Strong proficiency in SQL and experience with at least one programming language for data analysis (e.g., Python, R)., • Experience with data visualization tools such as Looker, Tableau, Power BI, or similar., • Solid understanding of data warehousing concepts and ETL/ELT processes., • Familiarity with data science concepts and machine learning techniques., • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams., • Strong business acumen and the ability to translate data insights into actionable business recommendations., • Self-Starter – You take initiative and solve problems before they become problems., • Curious & Analytical – You ask why, dig deep into data, and experiment to learn what works., • Efficiency-Oriented – Fast, focused, and action-driven., • Relationship-Focused – You build trust and deliver value., • Organized Multitasker – You thrive in fast-paced, high-velocity environments., • Strategic Communicator – You translate performance into insight and insight into action. Salary Range: $125,000 - $145,000 Salary Range$175,000—$225,000 USD

Job Description PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person’s contributions and ideas are critical to the growth of the company. This is a fully remote position, open to candidates anywhere in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team — including sales, marketers, and financial services experts — who stay connected through Slack, video calls, and regular team and company-wide meetings. We’re a team that knows how to work hard, have fun, and make a meaningful impact—both together and individually. Job Summary We are looking for a Senior Data Scientist to lead the development of scalable Generative AI pipelines that process raw data and generate context-aware results to power Plum’s AI-driven products. You will play a central role in shaping our GenAI platform, working across the full ML lifecycle—from ingestion and retrieval to generation, evaluation, and deployment. This role combines deep expertise in machine learning with hands-on experience in building production-grade systems. You’ll collaborate closely with various cross functional teams and operate in a fast-paced environment where innovation, autonomy, and ownership are key. Key Responsibilities • Design and architect end-to-end Generative AI pipelines using LLMs to process and generate context-aware results., • Integrate open-source and proprietary LLMs (e.g., GPT, LLaMA) via APIs and custom orchestration., • Build and optimize workflows using frameworks such as LangChain, • Design and implement RAG (Retrieval-Augmented Generation) architecture to inject relevant, contextual data into generation prompts., • Develop robust methods to evaluate and compare LLM outputs based on relevance, personalization, and factual accuracy., • Build automated and scalable LLM evaluation pipelines using embedding-based similarity, scoring metrics, and human-in-the-loop feedback., • Implement monitoring, observability, and logging for GenAI workflows to ensure reliability in production., • Collaborate with cross-functional teams to integrate generative outputs into client-facing applications. Requirements • Master’s degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience., • 3+ years of experience developing and deploying machine learning pipelines in production., • 1+ years of experience building Generative AI or LLM-based applications., • Strong programming skills in Python, with hands-on experience in ML/AI frameworks (e.g., LangChain, Transformers, LLM APIs)., • Deep understanding of LLM evaluation, prompt engineering, and text generation quality metrics., • Experience designing and implementing RAG architectures., • Hands-on experience with Databricks, MLflow, or similar platforms., • Experience with cloud infrastructure (AWS preferred) and MLOps practices for deploying and maintaining models in production., • Strong problem-solving skills and ability to lead through ambiguity., • Excellent communication and documentation habits.Preferred Qualifications, • Prior experience using Generative AI in Fintech, Sales Tech, or Marketing Tech domains., • Experience with agentic frameworks such as LangGraph, AutoGPT, or CrewAI., • Familiarity with fine-tuning or custom instruction tuning of LLMs. Benefits and Compensation • A fast-paced, collaborative startup culture with high visibility., • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action., • Opportunity to make a meaningful impact in building a company and culture., • Equity in a financial technology startup., • Generous health, dental, and vision coverage for employees and family members + 401K., • Eleven paid holidays and unlimited discretionary vacation days., • Competitive compensation and bonus potential.

Job Description Boosted.ai is building AI purpose-built for finance to help teams do more. Our mission is to optimize investing and boost productivity. We're already trusted by leading enterprises and developers with over $5T under management with Boosted.ai. From the fastest growing hedge funds to global financial institutions, our tool lets our users stay ahead of the competition with AI that works for them. We believe that modern investment professionals will win the future of finance by using the best tools; a unique competitive edge powered by data, experimentation, and automation. Boosted.ai is the platform they use to cut through data overload, outpace competitors, and reclaim their time. We're looking for sharp, low-ego people to help teams find their edge. Why is Boosted.ai the best place to work? • Customers love the product (adopted by many of the biggest financial institutions and rapidly expanding to more firms), • We're growing a lot (5x in the last year), • Incredible culture (our customers keep applying to work here) We're looking for a data science "Olympian" to own full-funnel insights, from shaping our best-in-class data stack and infrastructure, to asking the right questions, to running experiments, and to delivering sharp analyses. You'll play a pivotal role in driving strategic decisions and building a data-driven culture. What You'll Do • Drive strategic insights: Own the full-funnel insight process, transforming data into actionable recommendations for go-to-market and product, • Deliver clarity: Translate complex data findings into simple, actionable insights that resonate with both technical and non-technical stakeholders, • Set up data infrastructure: Contribute to building and scaling our data transformation and orchestration capabilities, ensuring accurate and timely data delivery, • Empower self-serve analytics: Develop a robust self-serve analytics platform that empowers all teams to access and leverage data effectively, • Champion a data-driven culture: Establish best practices that encourage non-data teams to use insights effectively, • 4+ year experience, • Expert in SQL and Python or R, • Robust understanding of statistical and machine learning methods, • Storytelling through data, • Experience with data transformation tools and data orchestration tools Compensation At Boosted.ai, we believe in fair and transparent compensation practices. The base salary range for this full-time position is $155,000-$210,000, which may vary depending on experience, skills, and location. This range reflects the minimum and maximum target base salary for new hires. In addition to base salary, employees are eligible for our discretionary bonus program that takes into account both individual and company performance, and participation in our equity program. During the hiring process, we can provide more specific salary information for your location. Our Values We are guided by a set of values that are at the core of our actions and define our culture. These principles are the foundation of our work, and we are committed to upholding them in everything we do. • Collaborative – We value our team and know that success can only come from working together, • Client Centric – Our focus is always on our clients and consistently delivering them value, • Action Oriented – We remove barriers and we seek to improve in measurable ways, • Accountable – We are accountable for ourselves, and we hold each other accountable We want our benefits to reflect our values and offer the following to full-time employees: • Flexible (Unlimited) Paid Time Off, • Medical, Dental, and Vision benefits for you and your family, • Life Insurance and Disability Benefits, • Access to a 401(k) retirement savings plan (for U.S. employees), • Paid Parental Leave, • Free access to use Boosted.ai Alfa™ to make money Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Job DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. Each member of the Data team plays an integral part of what we are building at Varo. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!What you'll be doing • Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance, • Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes, • Assess the effectiveness and accuracy of new data sources and data gathering techniques, • Understand and apply proper risk framework to your analysis and modeling., • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions, • Collaborate cross functionally to implement models and monitor outcomesYou'll bring the following required skills and experiences, • 7+ years of experience in Analytics, Data Science or Data Engineering as an individual contributor, • An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc, • Credit and / or Fraud Risk modeling experience in consumer finance is nice to have, • Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions, • Experienced in using Python for analysis and modeling, • Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks, • Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.), • Excellent cross-functional communication skills

Job Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role: As the Staff Data Scientist (VP) on the AI Science team, you will be responsible for designing and leading high-impact data science initiatives that drive business value across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in shaping data-driven strategy, developing advanced statistical and machine learning models, and delivering insights that inform decision-making, optimize operations, and uncover new growth opportunities. You will act as both a technical thought leader and a strategic partner, fostering a culture of rigorous experimentation, reproducibility, and responsible AI adoption while mentoring the next generation of data scientists. Responsibilities: • Lead the design and execution of data science projects that solve complex business problems across critical workflows., • Develop and apply advanced AI/ML methods including statistical modeling, causal inference, forecasting, optimization, and machine learning., • Partner with stakeholders to translate business challenges into analytical frameworks, ensuring results are actionable and aligned with strategic priorities., • Drive the adoption of emerging analytical techniques and tools (e.g., generative AI, LLM-based analytics, simulation modeling, RAG for knowledge discovery)., • Collaborate with ML engineers to scale prototypes into production-ready systems, ensuring reliability, fairness, and generalizability., • Design and maintain metrics and experiments (A/B testing, uplift modeling, KPI design) to measure model and business impact., • Communicate findings through compelling data storytelling, dashboards, and executive-level presentations., • Provide thought leadership in responsible AI practices, ensuring transparency, fairness, and compliance with internal governance and external regulations., • 8+ years of experience in data science or applied statistics roles, with a proven track record of driving measurable business impact., • Expertise in one or more of supervised and unsupervised machine learning, deep learning, time series analysis, causal inference, and statistical modeling., • Experience leading end-to-end data science projects from ideation to delivery, including business scoping and stakeholder management., • Strong proficiency in Python (or R), with deep experience using modern data science libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Statsmodels)., • Solid foundation in SQL and data wrangling across large, complex datasets., • Hands-on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly)., • Familiarity with cloud-based data platforms (AWS, GCP, Azure) and collaborative tools (Databricks, Snowflake) is a plus., • Exceptional ability to translate technical results into clear, actionable insights for senior executives and non-technical audiences., • Master's or PhD in Statistics, Data Science, Computer Science, Economics, or a closely related discipline. Preferred Experience: • Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments., • PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline. Publications in top-tier AI/ML or data science conferences or journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA)., • Recognized contributions to the open-source data science / ML ecosystem (e.g., libraries, frameworks, toolkits, widely adopted notebooks)., • Track record of thought leadership through invited talks, keynote presentations, or leadership roles in professional societies, conferences, or meetups., • Experience mentoring teams at scale and establishing standards for reproducibility, experimentation, and responsible AI., • Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics. This is an onsite position, with flexibility, based in our New York City office. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job DescriptionGopuff’s Data Science team powers the personalized search, browse and recommendation experiences that shape how customers discover daily goods. We are expanding our mission to include cutting-edge generative-AI capabilities. This role will lead the design and deployment of LLM-driven models that deeply understand customer needs and deliver personalized, timely experiences. You will partner with product managers, engineers and researchers to adapt pre-trained large language models (LLMs) to Gopuff’s unique business challenges, fine-tune models using LoRA/qLoRA, build retrieval-augmented generation (RAG) pipelines, and drive innovation from prototype through production.You Will: • Understand customer needs through AI: Build models that interpret intent and context to provide the right product, recommendation or experience at the right moment., • Fine-tune and adapt LLMs: Apply LoRA/qLoRA and RAG techniques to customize state-of-the-art LLMs for Gopuff’s domain, using frameworks such as Hugging Face, LangChain and LlamaIndex., • Architect personalization systems: Design robust pipelines for search, retrieval and ranking that combine generative AI with classical ML, leveraging vector databases and prompt/context optimization., • Drive algorithmic innovation: Explore and apply new methods in deep learning, reinforcement learning, multi-task learning and embeddings to improve personalization, recommendations and discovery., • Develop conversational and Q&A experiences: Build interactive agents that can answer questions, guide product discovery and engage with customers in natural language., • Deploy at scale: Collaborate with MLOps and engineering teams to productionize models with high scalability, reliability and low-latency response times., • Evaluate and optimize: Define metrics, design A/B tests and perform offline/online evaluations to measure model performance, customer satisfaction and business impact., • Collaborate and educate: Work with product, engineering, design, analytics and leadership teams to translate business needs into AI solutions and communicate data-science concepts clearly., • Mentor and lead: Provide technical leadership and mentorship to data scientists and ML engineers, fostering a culture of responsible, customer-focused AI., • Stay ahead of the curve: Continuously track emerging LLM architectures, tools and techniques, and integrate them into Gopuff’s AI roadmap.You Have:, • MS/PhD in Computer Science, Statistics, Mathematics or a related field with 2+ years of experience building generative-AI systems (or 8+ years of industry experience in data science)., • Demonstrated experience fine-tuning LLMs using LoRA/qLoRA, adapting models through RAG pipelines, and optimizing with transformer architectures., • Proficiency in prompt engineering, RLHF and model optimization., • Hands-on expertise with Hugging Face Transformers, LangChain, LlamaIndex and vector databases (e.g., Pinecone, FAISS)., • Strong skills in Python and ML frameworks (PyTorch, TensorFlow, JAX); experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Databricks, etc.)., • Experience working with large datasets and SQL; ability to write scalable, production-quality code., • Excellent communication and collaboration skills to partner across technical and business teams., • A passion for building AI that understands and anticipates customer needs while ensuring responsible and fair use of technology.Compensation:, • Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role., • This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan., • Base Salary Range: $175,000 - $270,000What We Offer:, • Medical/Dental/Vision Insurance, • 401(k) Retirement Savings Plan, • HSA or FSA eligibility, • Long and Short-Term Disability Insurance, • Mental Health Benefits, • Fitness Reimbursement Program, • 25% employee discount & FAM Membership, • Flexible PTO, • Group Life Insurance #LI-GOPUFF Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics. A Bachelor's Degree in a quantitative fi

Associates within TDRM are highly-skilled information security, cybersecurity, site reliability engineering, technology, data analyst, data scientist, and risk management professionals. This position - Manager, Network Security - is a unique opportunity for candidates with technical cybersecurity ex

A company is looking for a Senior Marketing Data Scientist to join their Audience Targeting and Optimization analytics team. Key Responsibilities Conduct in-depth data discovery to recommend and curate ideal customer segmentation for messaging Collaborate with cross-functional partners to address

A company is looking for a Data Scientist, Credit Risk Analytics.

Principal Associate, Data Scientist - US Card (New To Credit Team) Data is at the center of everything we do. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technolog

Manager, Data Scientist - US Card (New To Credit Team) Data is at the center of everything we do. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and oper

Job DescriptionSalary: USD $120,000 $165,000, depending on experience and location About SPUN SPUN is a startup NGO with a mission to map and protect the mycorrhizal fungal networks that regulate Earth's climate and ecosystems. These fungi draw down approximately 13 billion tons of CO2 annually through extensive underground networks. Since our founding in 2021, we've built a global data platform to make these invisible networks measurable. Through our Underground Explorers program and network of over 400 Science Associates across more than 80 countries with the majority in the Global South we generate high-resolution biodiversity maps and ML-powered tools that integrate mycorrhizal data into climate, conservation, restoration, and land management decisions. Our work spans from laboratory research, data science, and robotics to locally-led field applications, informing everything from carbon accounting methodologies to protected area design and restoration protocols. With strong backing from leading foundations and growing momentum in international policy circles, we're at an inflection point where strategic partnerships will be critical to driving the adoption of mycorrhizal data into climate strategies, conservation agendas, and restoration efforts worldwide. The Opportunity We're seeking an entrepreneurial and strategic partnership leader to identify, cultivate, and formalize relationships that accelerate the integration of mycorrhizal science into real-world environmental practice. This is a senior role requiring someone who can independently represent SPUN's vision and value proposition to potential partners across conservation organizations, restoration practitioners, agricultural initiatives, carbon market developers, biodiversity monitoring programs, climate-focused institutions, and technology companies. The ideal candidate will serve as both architect and ambassador designing partnership frameworks that create mutual value to build SPUN as an essential partner for organizations working at the intersection of climate, biodiversity, and sustainable land use. Key Responsibilities Partnership Development & Execution • Proactively identify and qualify potential partners in conservation, restoration, agriculture, climate mitigation, biodiversity monitoring and reporting, technology, and related sectors, • Lead initial conversations and needs assessments to determine alignment and mutual value, • Design partnership frameworks that leverage SPUN's scientific capabilities (data, methodologies, research networks) to address partner priorities, • Draft, negotiate, and finalize partnership agreements, MOUs, and collaborative frameworks, • Independently represent SPUN in high-level partnership discussions with senior leaders from NGOs, corporations, technology companies, and international organizations, • Manage a pipeline of partnership opportunities from initial contact through formalization and implementation, • Track and communicate partnership outcomes, particularly regarding data integration and on-the-ground impact Strategic Integration • Work closely with the Chief Strategy & Operations Officer to align partnership strategy with organizational priorities, • Translate SPUN's scientific outputs into compelling value propositions for different partner types, • Identify opportunities to integrate mycorrhizal data and methodologies into existing frameworks (e.g., MRV systems, carbon accounting standards, conservation protocols, biodiversity monitoring and reporting systems, technology platforms), • Explore technology partnerships that could enhance data accessibility, analysis, or application, • Collaborate with internal teams to ensure partnership deliverables are feasible and well-executed, • Monitor partnership performance and adapt strategies based on outcomes Organizational Representation & Development • Contribute to funding proposals where partnership expertise strengthens the narrative, • Support board engagement on partnership strategy and key opportunities, • Represent SPUN at conferences, convenings, and public forums, • Help position SPUN for larger-scale funding opportunities that require demonstrated partnership capacity, • Identify partnership structures that align with organizational sustainability goals Required Qualifications • 7+ years of professional experience in partnership development, business development, or similar roles, preferably in environmental science, conservation, or climate sectors, • Scientific foundation: Minimum of Bachelor's degree in environmental science, ecology, biology, or related field; demonstrated ability to understand and communicate complex scientific concepts, • Proven track record of independently developing and formalizing meaningful partnerships or strategic agreements, ideally in environmental or scientific sectors, • Deep knowledge of at least two of the following: ecosystem services valuation, conservation finance, regenerative agriculture, climate policy frameworks, carbon markets/MRV, biodiversity monitoring and reporting frameworks, environmental data systems, • Exceptional communication skills: ability to tailor messaging for diverse audiences from scientists to corporate executives to foundation officers to board members, • Contract and negotiation experience: comfortable drafting and negotiating partnership terms, • Senior-level presence: can credibly represent organizational strategy in high-level conversations without supervision, • Self-directed and entrepreneurial: thrives in a fast-paced, startup-like environment with evolving priorities, • Comfort with public speaking: able to represent SPUN at conferences, panels, and partner events Preferred Qualifications • Master's degree or PhD in relevant field, • Experience working at the intersection of scientific research and commercial/policy applications, • Existing network in conservation, climate, sustainable agriculture, or environmental technology sectors, • Track record of contributing to successful grant proposals, • Experience with international partnerships, particularly in the Global South, • Familiarity with biodiversity conservation frameworks and climate commitments (e.g., CBD, UNFCCC, Paris Agreement), • Understanding of Indigenous rights and community-based conservation approaches, • Experience evaluating or implementing environmental data platforms or technologies, • Experience with biodiversity assessment and monitoring protocols What Success Looks Like Success in this role means establishing SPUN as the essential partner for organizations seeking to integrate underground ecosystem considerations into their work whether they're conservation organizations designing protected areas, restoration practitioners planning interventions, or policymakers developing climate strategies. You'll build a partnership portfolio where SPUN data demonstrably transforms on-the-ground practice, creating replicable models that can scale our impact. We'll define specific metrics, timelines, and milestones collaboratively based on your strategic assessment of opportunities and our organizational priorities. Reporting & Team This role reports to the Chief Strategy & Operations Officer and will work closely with the Executive Director & Chief Scientist, and SPUN's board of prominent leaders from conservation, climate, finance, and policy sectors. This position will regularly engage with board members on partnership strategy and key opportunities. Why Join SPUN At SPUN, we know that taking care of our team means empowering them to do their best work. Our benefits are designed to support health, well-being, growth, and balance across our globally distributed team. Heres what you can expect when you join us: • Comprehensive Health Coverage: 100% of medical, dental, and vision premiums covered for employees, plus dependent coverage support., • Wellness & Lifestyle Support: Annual health stipend, flexible spending account (for US-based employees), monthly work-from-home allowance, and wellness days built into your year., • Generous Time Off: Minimum of 25 vacation days per year (plus local holidays), unlimited paid time off as needed, sick leave, and wellness days to recharge., • Volunteer Days: Paid time each year to contribute your skills and energy to causes you care about., • Professional Growth: Annual professional development allowance to invest in your learning, skills, and career progression., • Workspace & Tools: Hardware allowance to get you set up and annual workspace allowance to create a productive environment wherever you are., • Celebrating You: Annual birthday meal stipend so you can celebrate on us. Location & Compensation This is a full-time remote role. While we welcome applicants from anywhere, we have a preference for candidates based in or near New York City or London. The position involves regular travel, roughly 1520% of the time. The salary range for this role is USD $120,000 $165,000, depending on experience and location. SPUN applies a global compensation multiplier to ensure equity across regions for candidates based outside the United States, adjusting pay according to local market and cost-of-living benchmarks. Compensation aligns with SPUNs hybrid positioning as an environmental NGO and data science startup, and is commensurate with experience. Performance-based bonuses may be available for exceptional partnership outcomes. To Apply: Please complete the application form in BambooHR and submit the following materials: • A resume, • A cover letter outlining your relevant experience and approach to partnership development. In your cover letter, please describe a partnership youve ledfrom initial identification to successful implementationhighlighting the key inflection points and how you navigated them. At SPUN, we embrace diversity as a fundamental pillar of our mission to protect underground ecosystems. Our commitment to decolonizing science is dependent on the diversity of knowledge and experience on our team and among our partners across the globe. We are committed to creating an inclusive environment where all individuals, regardless of their race, ethnicity, gender identity, sexual orientation, religion, age, disability, or background, feel valued, respected, and empowered to bring their authentic selves to work. We highly encourage individuals from traditionally underrepresented or repressed groups, including but not limited to women, LGBTQIA, individuals from the Global South, and individuals with Indigenous heritage, to apply to join our team at SPUN. To learn more about our company and culture, please visit our website

Key Responsibilities Design and develop data-driven exploratory analysis and predictive models to address business challenges Build and evaluate predictive models, including data analysis, clean-up, and variable selection Participate in high impact projects related to predictive model developmen

Role Description In Consumer Identity ML, you will work at all phases of the data science life cycle, including: Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to. You have experience with c

Job DescriptionProduct Data Scientist at Bask Health At Bask Health, Product Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making. By working cross-functionally, our data scientists help guide what we build and how we build it, ensuring our solutions deliver real-world impact. Why You’ll Love Working at Bask Health Requirements Educational Background • Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field., • Advanced degrees (e.g., Master’s or PhD) in relevant disciplines are a plus.Experience, • 3+ years of experience in data analysis, data science, or a related field, with a proven track record of influencing product decisions through data insights., • Experience working with cross-functional teams, including product managers, engineers, and designers., • Experience in healthcare, telehealth, or related industries is highly desirable but not mandatory.Technical Skills, • Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis., • Strong experience with data visualization tools (e.g., Tableau, Looker, or similar)., • Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation., • Experience with A/B testing and designing experiments., • Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Google Cloud) is a bonus.Analytical Skills, • Ability to extract actionable insights from complex datasets., • Strong problem-solving skills and a keen sense of curiosity., • Experience applying machine learning techniques is a plus.Soft Skills, • Excellent communication skills, with the ability to translate complex data into understandable insights for non-technical stakeholders., • Strong project management skills, with the ability to prioritize tasks and meet deadlines., • Collaborative and proactive mindset.

Job DescriptionProduct Data Scientist at Bask Health At Bask Health, Product Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making. By working cross-functionally, our data scientists help guide what we build and how we build it, ensuring our solutions deliver real-world impact. Why You’ll Love Working at Bask Health Requirements Educational Background • Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field., • Advanced degrees (e.g., Master’s or PhD) in relevant disciplines are a plus.Experience, • 3+ years of experience in data analysis, data science, or a related field, with a proven track record of influencing product decisions through data insights., • Experience working with cross-functional teams, including product managers, engineers, and designers., • Experience in healthcare, telehealth, or related industries is highly desirable but not mandatory.Technical Skills, • Experts in programming languages such as Python & SQL for data manipulation and analysis., • Strong experience with data visualization tools (e.g., Tableau, Looker, or similar)., • Experience with Alteryx (1+ Year), • Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation., • Experience with A/B testing and designing experiments., • Familiarity with data tools (e.g., Segment, Snowflake), ETL tooling and cloud platforms (e.g., AWS, Google Cloud) is a bonus.Analytical Skills, • Ability to extract actionable insights from complex datasets., • Strong problem-solving skills and a keen sense of curiosity., • Experience applying machine learning techniques is a plus.Soft Skills, • Excellent communication skills, with the ability to translate complex data into understandable insights for non-technical stakeholders., • Strong project management skills, with the ability to prioritize tasks and meet deadlines., • Collaborative and proactive mindset.

Job Description Hi, we're Oscar. We're hiring a Lead Data Scientist to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: Oscar has both care management and virtual care assets which provide a mechanism to help clinically risky members. You will help to improve the impact of these programs. This will involve sizing ideas to change existing or create new programs, designing experiment/measurement plans for programs, designing targeting mechanisms used for identification for programs, conducting ongoing monitoring and measuring of programs, and determining ways to optimize programs. You will apply population health or clinical expertise, predictive modeling, and traditional healthcare program evaluation techniques. You work with Oscar's clinical team and have accountability for driving shared goals. You will report into the Senior Director, Data. Work Location: This position is based in our New York office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $174,400 - $228,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Translates business goals into plans and tactics for the team, • Works with more senior leaders to establish longer term strategies and roadmaps, • Participates in team-wide technical and operations management responsibilities, • Interacts and collaborates closely with data and business management across functional areas, • Leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses, • Compliance with all applicable laws and regulations, • 6+ years of industry or other quantitative technical fields (which may include academia), • 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • Advanced degree in a quantitative or technical field At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Notice to Job Applicants.

Job Description Were hiring a Staff Data Scientist to help shape the future of our AI-powered technology marketplace for engineering talent. In this strategic role, you'll apply deep statistical knowledge, advanced modeling, and rigorous experimentation to build data-driven products that enhance talent matching, client engagement, and enterprise AI solutions. What You'll Do • Lead development of machine learning, statistical, and generative AI models focused on recommendation systems and predictive analytics, • Drive research initiatives to improve model scalability, interpretability, and real-world impact, • Build experimentation frameworks (A/B testing, causal inference, statistical validation) to guide product decisions, • Collaborate with engineering to deploy and monitor models in production, • Align data science efforts with product strategy and client needs, • Stay ahead of AI and GenAI trends, recommending innovations and best practices, • Humility and accountability: You share credit, own mistakes, and welcome better ideas, • Cross-functional collaboration: You break silos and prioritize company-wide success, • Curiosity and feedback: You seek diverse perspectives and continuous improvement, • Ownership mentality: You solve problems proactively and follow through, • Hands-on leadership: You stay engaged in the details while guiding others, • Ph.D. in a STEM field with strong research experience, • 10+ years in data science, with expertise in modeling, optimization, and statistical analysis, • Proven success building and deploying ML and GenAI models, ideally in marketplace or recommendation systems, • Proficiency in Python, TensorFlow, PyTorch, SQL, and cloud-based platforms, • Strong communication skills and ability to influence cross-functional teams, • Experience translating complex findings into actionable insights

Job DescriptionMarket. Manage. Maintain. These are just a few of the many hats you’ll be wearing in this highly visible role of Property Manager at WinnCompanies! You will oversee all operational aspects of a 101 community located in Sudbury, MA. You will be responsible for maintaining the community, supporting its residents, and developing team members all while meeting financial objectives of the owner and management company. Responsibilities • Process timely and accurate move-ins, move-outs, and recertifications, • Supervise and assist Occupancy Specialist with annual and interim recertifications in compliance with WinnCompanies guidelines, local, state, and federal regulations., • Approve rental applications for multiple programs following property and agency standards, • Maintain compliance with all state and federal program regulations relating to the property, • Prepare or oversee preparation for audits and inspections, • Ensure property compliance by maintaining the compliance percentage for Low Income Housing Tax Credit, or any other applicable programs, • Review monthly and quarterly reports and address discrepancies, • Manage marketing according to the Affirmative Fair Housing Marketing Plan and update as necessary, • Complete the annual utility analysis for submission with the Rent Schedule to HUD, • Ensure the property and grounds are well maintained, • Complete annual or periodic unit inspections and monthly building inspections, • Resolve resident issues and conflicts in a timely manner and in accordance with site guidelines, • Complete the annual owner’s certifications required for the affordable programs

Job DescriptionUS Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That’s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity. At the core of it all, we have a team and culture that has been recognized by Forbes as one of the top 500 best startup employers in the US. Our team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries. We’re a venture-backed company entering hypergrowth, having recently ranked 94th on Inc 5000’s fastest-growing private companies in America, and we’re looking for someone exceptional to join our team. We are looking for a Product Data Scientist who can turn data into clear, actionable insights that drive product and business growth. In this role, you’ll partner closely with Product, Engineering, Marketing, and Operations teams to define success metrics, monitor performance, design experiments, and deliver reporting that guides decision-making. If you enjoy using data to tell stories, influence strategy, and uncover opportunities, this role is for you.Description: • Partner with product and business teams to inform, influence, and execute product strategy and key investment decisions., • Analyze large, complex datasets—conducting both ongoing and ad-hoc deep dives—to uncover patterns, trends, and opportunities that drive strategy., • Build and maintain dashboards and reports that deliver clear visibility into product usage, funnels, customer behavior, retention, and overall business performance., • Design and analyze A/B tests and product experiments to evaluate the impact of new features and product changes., • Design and build data models and pipelines that ensure reliable, scalable foundations for reporting and dashboards., • Translate complex data into actionable insights and communicate findings effectively to both technical and non-technical audiences., • Identify growth opportunities across acquisition, retention, monetization, and customer journey optimization.What we are looking for:, • 5+ years of experience in product analytics, data science, or a related analytical role with a proven track record of delivering business impact., • Expert-level SQL skills for data extraction, transformation, and analysis., • Proficiency with BI and visualization tools (e.g., Tableau, Looker, Hex, or similar) to build clear, impactful dashboards and reports., • Familiarity with modern data modeling frameworks (e.g., dbt) and best practices in scalable analytics., • Demonstrated ability to perform exploratory analyses on complex datasets, tackling ambiguous, open-ended questions and translating findings into clear, actionable insights., • Excellent stakeholder management and communication skills, with the ability to distill complex findings into clear, compelling narratives for non-technical audiences., • Self-starter who is proactive, adaptable, and thrives in fast-paced, dynamic environments with evolving priorities.Benefits:, • Competitive salary - $120k–190k (NYC based, in office Monday-Wednesday), • Gym reimbursement, • Your choice of tech & noise-canceling headphones, • Free cellular service on the best network in the US, • Free lunch in NYC office & fully stocked kitchen, • MetroCard reimbursement

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The OpportunityAs a Computational Materials Scientist, you will be engaging in critical simulations and modeling for materials discovery, development, and characterization. Your expertise with ab-initio calculations, DFT, and other forms of computational and theory-based modeling will be crucial to our AI-driven discovery process. You will work with leading AI scientists who depend on you to assist in data aggregation, data generation, materials simulation and model development. You will draw on a robust background in computational chemistry, software development, and machine learning. You will be responsible for running AI-enabled computational workflows for materials discovery, serving as a critical resource to the ML and materials research teams.About you • PhD degree in Chemistry, Materials Science, Computational Chemistry, Chemical Engineering, or another related subject., • Strong research experience (e.g., evidenced by publication record), including experience in computational modeling, utilizing ab-initio methods, and coarse-graining potentials for multiscale simulations of atomistic systems., • Understanding of the fundamental mechanics of metals and how to model them computationally., • Experience running high-throughput DFT., • Experience with interatomic potentials., • Chemistry software development experience (preferably public on e.g. GitHub, please share links to high impact pull request)., • Experience coding in Python or other similar languages.Pluses, • Running high-throughput DFT workflows at the order of 5,000+ concurrent jobs., • Prior experience in transitioning AI + computational research into production environments., • Experience with additional ICME approaches (e.g., mechanistic structure-property modeling, Phase Field, CALPHAD, Atomistics, Molecular statics/dynamics, etc.)., • Experience with FEM software tools (e.g., ANSYS, ABAQUS, MOOSE, PRISMS). Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job DescriptionSalary: Position: Sr Data Scientist / AI engineer Location: New York, NY(Hybrid 3x in office) Employment Type: Contract-to-hire Contract Duration:1-2 years The Senior Data Scientist is responsible for the design and development of advanced generative, recommender and predictive models that will generate valuecreation. This role involves ensuring the performance and accuracy of solutions, staying abreast of the latest AI research and methodologies (particularly in thedomains of natural language processing, predictive analytics and information retrieval), as well as promoting and implementing data science best practices. Responsibilities: • Lead the design, development, validation, anddeployment of innovative, performant and scalable AIengines, applying rigorous testing to ensure alignmentwith business objectives., • Conduct advanced statistical analysis to provideactionable insights, identify trends, and measureperformance., • Apply A/B testing framework to test models' qualityand integrate data insights into the businessprocesses., • Coordinate with different functional teams toimplement models, design processes and tools tomonitor and analyze model performance and dataquality., • Drive the AI methodology R&D agenda to ensureCLIENT continues to offer added value by best-inclass AI approaches in fast-moving landscape. Key Skills: DomainExpertise: • MS/PhD(Computer Science or Electronics), or MS in Computer Applications, Economics, Statistics orMathematics or related technical discipline, • Experience with popular cloud-based ML platforms (AWS SageMaker, Azure Machine Learning) is a plus, • Strong applied understanding of MLOps / LLMOps best practice, • Experience to merge and transform disparate internal & external data sets together to create inputs for AI Agile +Digital Experience: • Openness to working in Agile environments with multiple stakeholders, • Professional attitude and service orientation; team player, • Quick learner to business needs and translate them into potential analytics solutions, • Strong analytical and problem-solving skills; healthy skepticism around validity of data and its biases, • Exemplary organizational skills with attention to detail & accuracy, • Ability to coach, mentor, and collaborate with business partners, analysts, and team members, • Attitude to thrive in a fast-paced environment, Open minded to new approaches of learning

Job Description This is a full-time hybrid role for an Earth Scientist / Geophysicist located in the New York City Metropolitan Area, allowing for some work from home. The Geophysicist will be responsible for conducting geophysical (GPR, EM, etc.) surveys, data acquisition, and data processing. They will also be involved in analyzing geophysical data, preparing reports, and collaborating with cross-functional teams to deliver precise and accurate findings.

Job Description Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types. As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future. You Will: • Play a key role in the success of our products by developing models for NLP (and other) tasks., • Perform error analysis, data cleaning, and other related tasks to improve models., • Collaborate with your team by making recommendations for the development roadmap of a capability., • Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines., • Understand product use-cases and define key performance metrics for models according to business requirements., • Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience., • 4+ years of experience with data science and machine learning in an industry setting., • 4+ years experience with Python., • Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing., • Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc., • Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow., • Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity., • Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines., • Initiative and ability to independently explore and research novel topics and concepts as they arise. #LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is:$136,000—$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.