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We’re looking for a Data Scientist to join Native Ads within the Music Mission.Native Ads is focused on building visual promotional formats that empower artist teams to build audiences of fans with formats, targeting & measurement tools that are purpose built for music.In this role, you will partn

Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. We are a data science-driven special

At Front Row, we partner with leading brands to accelerate their ecommerce growth.We leverage our capabilities and proprietary technology to design, market, distribute and accelerate brands on a global scale.We’re continually cultivating functional areas of expertise and retaining the highest cali

BGB is a healthcare communications agency that offers a wide range of services, including traditional pharmaceutical advertising, promotional medical education, payer marketing, and consulting services.Known for excellence and professionalism, we’re hired as strategic and creative partners by our

About Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. Architect and develop scalable, production-grade Machine Learning (ML) models and services. Take ownership of end-to-end development from data collection and model training to deployment and monitoring. Work closely with cross-functional teams, including product managers, data engineers, and software engineers, to define ML requirements and implement solutions that meet business objectives. Conduct advanced machine learning research to evaluate new algorithms, frameworks, and tools. Stay ahead of industry trends and bring innovative solutions to the team, contributing to the evolution of AI and ML capabilities within the company. Develop and implement methods for evaluating and optimizing the performance of ML models, ensuring robustness, scalability, and efficiency in real-world applications. Partner with leadership and product teams to influence the product roadmap and integrate AI-driven features into products, ensuring they align with the company’s strategic vision. Work on complex, ambiguous technical challenges and apply your expertise in ML techniques to craft innovative solutions that address both short-term needs and long-term scalability. Create systems to monitor the performance of ML models in production, and lead efforts to troubleshoot and resolve issues as they arise. Provide mentorship to junior and mid-level engineers, offering technical guidance and fostering a culture of knowledge-sharing. Lead code reviews and help establish best practices in ML development and deployment. Telecommuting may be permitted. When not telecommuting, must report to 199 Lafayette St, Ste 3B, New York, NY ___: $169,541 - $192,216 per year. MINIMUM REQUIREMENTS: Bachelor’s degree or U.S. equivalent in Data Science, Software Engineering, Electrical Engineering, or a related field, plus 5 years of professional experienceas aData Scientist, Machine Learning Engineer, or any occupation/position/job title performing software engineering using Python and SQL. In lieu of a Bachelor’s degree plus 5 years of experience, the employer will accept a Master’s degree or U.S. equivalent in Data Science, Software Engineering, Electrical Engineering, or a related field, plus 3 years of professional experience as a Data Scientist, Machine Learning Engineer, or any occupation/position/job title performing software engineering using Python and SQL Must also have experience in the following: 2 years of professional experience utilizing Machine Learning to analyze data; 2 years of professional experience using Machine Learning models, Machine Learning problem framing and best practices, and Natural Language Processing; 2 years of professional experience working with cutting edge AI, including Large Learning Models; 2 years of professional experience conducting ML-driven research to help influence product roadmaps; 2 years of professional experience building personalized recommendation systems utilizing computer vision, natural language processing, or ranking; 2 years of professional experience utilizing machine learning libraries and deep libraries (including scitkit-learn, numpy, pandas, scipy, TensorFlow, SQL, Hive, or Spark) to access and analyze data; 2 years of professional experience innovating and improving upon algorithms and methodologies in search and personalization. Please send your resume to: . Please specify as code RODCWhy Join Quizlet? 🌎 Massive reach: 60M+ users, 1B+ interactions per week 🧠 Cutting-edge tech: Generative AI, adaptive learning, cognitive science 📈 Strong momentum: Top-tier investors, sustainable business, real traction 🎯 Mission-first: Work that makes a difference in people’s lives 🤝 Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.

Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The ideal candidate is a self-starter with the ability to independently research, develop

Partner with product and engineering to understand identification problems and propose data-driven solutions. Communicate data-driven insights and recommendations to key partners. You have 3+ years of experience in a similar data science role and a degree in a quantitative subject area.

We're transforming the trillion-dollar world of in-person sales by capturing and analyzing a never-before-digitized dataset: face-to-face conversations.While the tech world obsesses over digital interactions, most of our economy still runs on millions of in-person sales and service conversations hap

Hiring Rate: $72,192.00 (Flat Rate) The mission of the Bureau of Tuberculosis Control is to prevent the spread of tuberculosis and to eliminate it as a public health problem in New York City. Reporting to the Director of Disease Investigation and Case Management (DICM) the Data Analyst will perform data analysis on case management activities captured in the TB registry to generate reports, identify and track trends, area of concerns, and conduct routine quality assurance reviews. DUTIES WILL INCLUDE BUT NOT BE LIMITED TO: • Perform medium to high level data analysis on case data entered in the Electronic Disease Surveillance System (TB registry)., • Prepare routine and episodic reports including but not limited to, monthly case management activity statistics, Monthly DOT statistics, quarterly report for NY State, and CDC reports, etc., • Perform medium to high level quality assurance on CM data and identify trends., • Perform DICM evaluation activities and assist with DICM research efforts, • Maintain, /manage DICM data files, spread sheets and databases. PREFERRED SKILLS: • Excellent data management skills, experience cleaning, manipulating and analyzing large data set using statistical software such as SAS, SQL and R., • Strong oral and written communication skills and comfortable in preparing and delivering presentations to medium to large groups., • Strong problem- solving skills., • Ability to manage competing priorities and track progress to adhere to set timelines., • Proficient in using Microsoft Excel, Word, and PowerPoint., • Excellent interpersonal skills., • Ability to handle multiple and diverse assignments. Why you should work for us: • Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home., • Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work. Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise. Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers! The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at ___ or 347-396-6549. CITY RESEARCH SCIENTIST - 21744 2. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or, 3. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or, 4. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

ORGANIZATIONAL PROFILE: The Mayor’s Office of Community Mental Health (OCMH) coordinates and develops citywide policies and strategies to fill critical gaps in mental healthcare so every New Yorker, in every neighborhood, has the support they need. OCMH was codified into the City Charter by Executive Order 68 and Local Law 155 by the City Council in December of 2021, becoming the first mayoral office dedicated to addressing the mental health of New Yorkers. OCMH coordinates the development of citywide policies and strategies to fill critical gaps and reduce barriers in mental healthcare with a focus on underserved communities. OCMH’s priorities are rooted in equity, racial justice, and cultural responsiveness. It adopts a strength-based and community-centered approach that recognizes diverse perspectives, lived experiences, resilience, and the unique needs of New Yorkers. OCMH’s priorities are: • Improving Access to Mental Health Care and Equitable Distribution of Resources, • Partnering with Communities to Elevate Mental Health Promotion and Community Resilience, • Building and Supporting the Behavioral Health Workforce in NYC, • Developing a Coordinated Mental Health Crisis Response System Overall, OCMH plays a critical role in advancing mental health services and policies in the community, and its work is instrumental in improving mental health outcomes for all New Yorkers. JOB RESPONSIBILITIES: The Mayor’s Office of Community Mental Health is seeking a Data Analyst that will support the development of a portfolio of critical research and evaluation projects related to the Office’s work and priorities. The Data Analyst will report to the Director of Research. The ideal candidate will be passionate about community mental health and have excellent analytic and project management skills. Additionally, the Data Analyst will have the following main responsibilities: • Work closely with the Director, Research, along with the Mental Health Access and Strategic Initiatives teams to set priorities for collecting, managing and analyzing data, • Skillfully employ quantitative methods to perform analytical tasks such as data querying, analysis, and report generation, ensuring accuracy, timeliness, and clear presentation., • Develop Key Performance Indicators (KPIs) to assess the impact of policies and construct informative management dashboards., • Deliver comprehensive documentation and support to end users on relevant metrics and processes., • Contribute to the refinement of programmatic outcome measures and support performance management and reporting when needed, • Summarize key research findings on particular issues related to the Office priority areas- scanning and summarizing (for an internal audience) the evidence for effective interventions that address the City's mental health needs, • Support in preparing materials for public reporting by the office, • Incorporate community input and feedback into OCMH data collection and evaluation efforts, to ensure they are guided by an equity perspective. Preferred Qualifications: • A baccalaureate degree in social science, behavioral science, health services, mental health or relevant discipline; an advanced degree is a plus,, • 2+ years of experience in the fields of public health, community mental health or a relevant field preferred, • Experience working in government a plus, • Ability to think critically and strategically, consider multiple perspective, articulate priorities, and execute plans to achieve OCMH’s strategic priorities as related to research and evidence building., • Excellent interpersonal and coordination skills, including the ability to work as part of a highly collaborative team within the organization and build positive rapport with key stakeholders across agencies and externally, • Demonstrated cultural proficiency and experience working with communities of color in urban, underserved neighborhoods that bear a disproportionately high burden of illness and premature death Preferred Skills: • Strong quantitative and problem solving skills, • Excellent written and oral communication skills., • Knowledge of a programming language like SQL, Python or R., • Understanding of data warehouses, data lakes, and other data storage locations, • Proficiency in Microsoft PowerPoint, Excel, Power Query and Access, • Experience with data visualization tools, such as Tableau or Power BI., • Working knowledge statistical packages (e.g. R or SPSS), • Working knowledge of Geographic Information Systems (e.g., ArcGIS, Carto, or R) preferred. Why you should work for us: • Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home., • Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work. Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise. Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers! The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at ___ or 347-396-6549. CITY RESEARCH SCIENTIST - 21744 2. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or, 3. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or, 4. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

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.

Food has lost its soul to modern convenience.And with it, has lost the power to nourish, inspire, and connect us.So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs.Today, CookUnity delivers 35 million meals a year fr

We are currently looking for a Data Scientist in New York (USA). We are seeking a Data Scientist to transform complex data into actionable insights that drive strategic decisions and enhance business outcomes.

We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Senior Data Scientist. You’ll conduct quantitative research to inform product strategy and opportunities, design metrics to help track goals and make decisions,

Experience with developing predictive data models, quantitative analyses, and visualization of target data sources. Experience with statistical and general-purpose programming languages for data analysis. Experience implementing automation in processing, presenting, or manipulating data.

The Data Science, Analytics team at Quizlet is at the forefront of product research. You will bring together insights across our vast user growth data, enabling you to identify new high-value opportunities, analyze A/B test experiments, recommend data-driven product decisions, define key business me

Partiful's mission is to cultivate friendships through social events.We believe parties (and other social events) are the most effective way to meet new people and make friends.Our product helps you throw incredible events, starting with memorable party pages that make it easy to plan & communicat

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.One of our companies is currently looking for a.Senior Data Scientist | Product.As a Senior Data Scientist in the Product team,

mParticle by Rokt is widely recognized as one of the leading customer data platforms, serving hundreds of global brands and helping them turn data to insights and insights to action. Built on top of end-to-end streaming architecture, we are committed to empowering businesses to deliver personalized and engaging experiences to their customers across all screens and devices. We believe that the opportunity to help teams activate insights from their customer data to deliver more relevant and adaptive experiences is more important than ever. In January 2025 mParticle merged with Rokt and became mParticle by Rokt. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions, connecting 400 million customers across the world’s leading companies. We are Rokt, a hyper-growth ecommerce leader. We enable companies to increase value by unlocking real-time relevancy in the moment that matters most, when customers are buying. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions connecting 400 million customers across the world’s leading companies. In January 2025, Rokt’s valuation increased to $3.5 billion USD, allowing us to expand rapidly across 15 countries. The Rokt engineering team builds intelligent infrastructure and platforms that power mission-critical services. At this scale, excellence in reliability, performance, and developer experience is non-negotiable. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for a Senior Data Scientist / Machine Learning Engineer Total Compensation between: $300,000-$375,000, which includes a fixed annual salary between $200,000 - $250,000, employee equity plan grant & world class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the Role: As a Senior Data Scientist / Machine Learning Engineer on the Identity team, you will play a critical leadership role in shaping and advancing our identity solutions. You will drive data-driven strategies, lead complex analyses for entity resolution, and collaborate cross-functionally to enhance the quality, effectiveness, and scalability of our identity systems. • Spearhead complex analyses applying advanced statistical methods and machine learning techniques to large-scale identity data, uncovering actionable insights to significantly improve the effectiveness and quality of our identity solutions and drive initiatives to completion, • Independently identify, scope, and champion high-impact opportunities for innovation within the identity space, developing novel analytical approaches and data-driven strategies., • Test and run experiments to determine impact on model relevancy, • Define key metrics for tracking the health and performance of identity systems; Design, build, and maintain robust data pipelines to support machine learning model deployment and large-scale data processing for identity use cases, • Conduct proactive analysis, modeling, and automation of improvements to entity resolution in areas such as geography, linkage, fraud detection, and risk assessment., • Partnering closely with product and engineering teams to develop the strategy for evolving our identity graph, • 6+ years of industry experience as a Data Scientist (or 3+ years with a PhD), including significant work with identity, fraud, or security data, • Master’s degree in Statistics, Econometrics, Machine Learning, or related fields., • Demonstrated project leadership, mentorship, and ability to tackle highly ambiguous technical and business problems, • Strong knowledge of online AB testing and experimentation, • Strong knowledge of Python 3 (data science libraries) and SQL;, • Experience with distributed computing frameworks, particularly Spark is preferred, • Experience with Kubeflow is preferred, • Understands prompts for AI and is comfortable with using AI to improve day to day productivity, • Experience with identity-focused data science projects (e.g., authentication, fraud, user verification, KYC)., • Strong analytical / modeling experience tied to business outcomes, • Applied use of visualization tools such as matplotlib, seaborn, tableau, Python visual libraries, • Experience with common Python data science libraries such as pandas, numpy and scipy As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Accelerate your career. We offer roadmaps to leadership and an annual training allowance, • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Job Description Drive Innovation with GenAI, NLP, and LLMs Location: Hybrid (23 days/week in NY or NJ) Compensation: Up to $185k + bonus + benefits Are you excited by the potential of AI to reshape industries? Were looking for a hands-on Data Scientist to design, build, and deploy cutting-edge NLP, GenAI, and LLM solutions that deliver real business value. If youre passionate about applied research and eager to leave a tangible impact, lets talk. What Youll Do Model Development & Engineering • Architect custom ML and LLM models for batch and stream-based pipelines, • Build end-to-end NLP solutions including RAG, search/retrieval, fine-tuning, and prompt engineering, • Collaborate across data science, MLOps, and tech teams to deliver robust, scalable systems Model Evaluation • Design and implement tools to assess performance, reliability, and optimization strategies, • Continuously improve model efficiency and effectiveness Production Deployment • Work alongside MLOps to push models into production, ensuring stability and scalability What You Bring • Bachelors or Masters in Computer Science, Engineering, Computational Linguistics, or similar, • 1+ years developing data-driven solutions using ML, NLP, GenAI, and computer vision, • Advanced Python skills and hands-on experience with Hugging Face, TensorFlow, Keras, or PyTorch, • Deep understanding of transformer-based NLP models and LLM fine-tuning, • Proven experience implementing large-scale retrievalfrom keyword search to semantic embeddings, • Familiarity with trends in open-source LLMs and Generative AI platforms

BGB is a healthcare communications agency that offers a wide range of services including traditional pharmaceutical advertising promotional medical education payer marketing and consulting services.Known for excellence and professionalism were hired as strategic and creative partners by our biopharm

Martin Bauer is a leader in botanical extracts and functional ingredients for food and beverages. We’re passionate about innovation, quality, and creating solutions that drive the future of food and nutrition. We are looking for a curious and motivated Food Scientist to join our R&D team and help bring cutting-edge products from concept to reality. What You’ll Do As an entry-level Food Scientist, you will work closely with experienced R&D professionals to support product development and innovation projects. This is an excellent opportunity for recent graduates or early-career professionals to gain hands-on experience in a fast-paced and collaborative environment. Key Responsibilities: • Assist in developing, testing, and optimizing formulations for beverages, snacks, and other food products., • Support pilot plant and lab-scale trials, including ingredient weighing, mixing, and processing., • Conduct sensory evaluations and collect data for product improvement., • Assist in shelf-life studies and quality evaluations to ensure product performance over time., • Maintain accurate records of experiments, results, and formulations., • Stay current on food trends, ingredient innovations, and regulatory requirements., • Partner with cross-functional teams (QA, Operations, Marketing) to support commercialization efforts. What We’re Looking For • Education: Bachelor’s degree in food science, Food Technology, Chemistry, or a related field., • Experience: 0–2 years of experience in food or beverage product development (internships or co-ops strongly considered)., • Technical Skills:, • Basic knowledge of food chemistry, ingredient functionality, and processing., • Familiarity with laboratory equipment and standard testing methods., • Soft Skills:, • Strong attention to detail and ability to follow experimental protocols., • Excellent communication and organizational skills., • Curiosity, creativity, and willingness to learn., • Other: Comfortable working in lab, pilot plant, and production environments. What We Offer • Hands-on experience with real-world product development projects., • Mentorship from senior food scientists and opportunities for rapid skill growth., • Competitive salary, benefits, and professional development opportunities., • A collaborative and innovative work culture where your ideas matter.

Clinical Scientist (Manager/Senior Manager), Oncology Location: New York, NY - This role is hybrid onsite. Candidates must be open to relocating to NYC or be able to commute into the city 2-3 times per week. Scientific Search has recently partnered with a clinical-stage pharmaceutical company pioneering novel approaches to treating cancer. They’re looking for a Clinical Scientist, who will report to the Senior Director, Clinical Science and will work collaboratively with the clinical team to contribute to the development, evaluation and execution of oncology programs. Responsibilities • Collaborates closely with the Medical Monitor(s) to provide scientific input on planning, evaluation and analysis of clinical programs and trials, • Supports clinical data review and interpretation including subject eligibility review and monthly listing review, • Reviews emerging clinical data and supports identification of data trends and potential inconsistencies; raises appropriately to the clinical team., • Supports safety monitoring activities and procedures to ensure patient safety and compliance with reporting requirements, including review of SAE narratives., • Maintains data integrity and quality of clinical trial(s) in support of the development strategy for all assigned programs, • Collaborates with cross functional study team as appropriate to execute clinical study deliverables, • Assist with preparation/review of protocol and other study documents including medical monitoring plans, SAPs, informed consents, IBs, site training materials/presentations, and clinical components of the Clinical Study Reports and regulatory documents., • Ensures compliance with FDA, GCP and other applicable guidelines as well as SOPs Requirements • Master’s Degree required, further advanced degree in related field preferred, • Minimum of 5 years of highly relevant experience related to conduct of clinical trials, • Experience in oncology required, experience in early phase trials preferred, • Strong working knowledge of FDA, ICH, GCP guidelines and other relevant regulatory requirements, • Experience working with EDC systems, • Strong analytical skills and attention to detail with the ability to work with large data sets and ensure consistency across the clinical study databases. Base salary of approximately $115,000- $170,000 which may vary depending on qualifications, experience, and ultimate leveling. How To Apply: We’d love to see your resume, but we don’t need it to have a conversation. Send us an email to and tell me why you’re interested. Or, feel free to email your resume.

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

The Photonics/Optical Sensors Scientist serves as the definitive expert in optics, optical sensors, and optical systems, guaranteeing precise representation of these elements' capabilities, development, testing, operations, and processing in technical dialogues. This role involves contributing to the development and execution of studies, analyses, algorithms, models, simulations, and other technical projects and endeavors as outlined in project objectives. This position requires security clearance and is based onsite in New York City. Responsibilities • Serves as a technical advisor, offering support to both internal teams within Stealth Communications and external partners, including the US Government, on electro-optical matters., • Recognized for expertise in electro-optical systems, particularly in ground and space-based space object surveillance and identification (SOSI), covering visual, near-infrared, and infrared spectral regimes, as well as the integration, testing, and calibration of these systems., • Provides technical guidance to Stealth's systems engineering division on the development and procurement of optical payload systems, ensuring projects align with strategic goals., • Utilizes advanced technologies and scientific principles to innovate in the field of electro-optical systems., • Acquires comprehensive knowledge of system requirements for assigned projects and the design specifications meeting these needs., • Supports the design and development of resilient, high-precision optical payloads for contested and denied environments, ensuring mission assurance across atmospheric and exoatmospheric domains., • Manages the design and creation of optical payload systems and their components., • Aids in formulating operational concepts and strategies for electro-optical systems for government clients., • Conducts and oversees studies on system performance, design optimization, and system design evaluations., • Advocates for rigorous engineering practices in research and development activities, emphasizing technical risk management., • Monitors acquisitions, focusing on electro-optical payload system components, to ensure cohesive system integration and fulfillment of mission objectives., • Prepares and delivers documentation and presentations to update stakeholders on project status and to facilitate discussions with government and industry representatives., • Designs and executes tests to confirm the optical, mechanical, and electrical integrity of electro-optical system components., • Analyzes test data from space electro-optical systems, leading efforts to investigate and resolve any discrepancies., • Explores AI-integrated photonic systems for anomaly detection, ISR (Intelligence, Surveillance, Reconnaissance) and sensor fusion applications., • Interface with Stealth's Cyber Operations and Intelligence teams to align sensor development with threat detection, signature exploitation, and autonomous spectral analysis workflows., • Capable of independent work and collaboration within a diverse and multidisciplinary team, including scientists, engineers, business professionals, and ex-military personnel. Qualifications • Required: An active, transferable TS/SCI CI Poly U.S. government-issued security clearance prior to commencement., • A Master’s degree (preferred: Ph.D) in Science / Applied Photonics., • A minimum of fifteen (15) years of experience in electro-optical sensors and systems, covering UV, visual, near-infrared, and infrared spectral regimes, with a focus on analysis, design, development, fabrication, integration, testing, and operations. Candidates with at least ten (10) years of relevant experience will also be considered., • Profound knowledge of electro-optic processing, characterization, and testing, alongside familiarity with the supporting electronics and calibration processes related to electro-optical systems., • Deep understanding of optics based signal processing, spectral exploitation and target discrimination in cluttered or high-jitter environments., • Familiarity with modern quantum-enhanced sensors, AI-in-the-loop EO systems and/or hybrid photonic-electronic subsystems considered advantageous., • A solid foundation in various optical systems, encompassing those with passive and active control elements., • Demonstrated success working with multi-disciplinary teams including SIGINT/IMINT analysts, satellite operators, cyber analysts and former military technologists. Salary starting at $250,000 annually + $250,000 Sign-On Bonus.

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

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

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: ___ As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Suite. You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning / data mining algorithms to answer those questions and implement those on the C3 AI Suite so they can run at scale. C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery. Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale. Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs. Responsibilities: • Driving adoption of Deep Learning systems into next generation of C3 AI products., • Designing and deploying Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance., • Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements. Qualifications: • MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields., • Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning)., • Experience with prototyping languages such as Python and R., • Strong mathematical background (linear algebra, calculus, probability, and statistics)., • Experience with scalable ML (MapReduce, streaming)., • Ability to drive a project and work both independently and in a team., • Smart, motivated, can-do attitude, and seeks to make a difference., • Excellent verbal and written communication., • Ability to travel as needed Preferred Qualifications: • Experience with JavaScript and Java., • Experience with time series and dynamical systems., • A portfolio of projects (GitHub, papers, etc.)., • Experience working with modern IDEs and AI agent tools as part of accelerated development workflows. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. New York Base Pay Range$123,000—$185,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

Lead the future of dental care. Overjet is the global leader in dental AI. Already, thousands of dental providers and insurers rely on our platform to deliver the best possible care. Now, we’re looking for talented people to fulfill our mission: improve oral health for all. Overjet is where builders become leaders. Everyone here loves to make new things: new products, new partnerships, new content, and a new category of AI technology. And as Overjet grows ridiculously fast, so will you. Simply put, there’s no better place to accelerate your career. Come join us! The Role Overjet is looking for an experienced Data Scientist to join our Data & Analytics team. You’ll work shoulder to shoulder with our data engineers, data scientists, and customer success teams to deliver for our enterprise customers. You’ll have significant input into how the company develops its analytics architecture to better support internal and external stakeholders at scale. Responsibilities • Collaborate with cross-functional teams to gather requirements, design analytical solutions, and deliver actionable insights to support business objectives., • Utilize Python, SQL, business intelligence tools, and statistical techniques to analyze large and complex data sets, identifying trends, patterns, and opportunities for optimization., • Collaborate on the construction and maintenance of data pipelines and ETL processes to ensure data integrity, quality, and observability, • Serve as a trusted advisor to external customers, providing expertise on analytics best practices and helping them derive value from Overjet’s unique data., • Stay informed about industry trends and emerging technologies to ensure that our analytics capabilities remain cutting-edge., • Collaborate with data scientists, data engineers, and product managers on data products, dashboards, and the company’s data infrastructure., • Create strong documentation and dictionaries to ensure users interpret KPIs and data in consistent manners, • Ability to thrive in a fast-paced, technical, and mission focused environment Qualifications • Excellent academic background in Computer Science, Mathematics, Statistics, or a related field., • Significant experience with increasing levels of responsibility working in data analytics/science., • Excellent technical proficiency in Python, SQL, and data transformation tools., • Strong familiarity with data visualization tools such as Looker, Sigma, Tableau, or Power BI., • Experience leading engagements with external customers on analytics projects, creating compelling data presentations, and mastery of working with senior leaders, • Background in healthcare is a plus., • Excellent communication skills with the ability to translate complex technical concepts into easily understandable insights for non-technical stakeholders., • Strong problem-solving skills and attention to detail., • Experience working in SaaS, B2B software, or at a prior high-growth start-up is a plus. Why Overjet? • Competitive Compensation and Equity, • Hybrid workplace that provides flexibility, vibrant in-person workspaces, and the ability to build strong connections across all of Overjet - regardless of location, • 401k plans with a matching program, • Medical, Dental and Vision coverage: 99% employee premium covered, 75% dependent premium covered, • Life and AD+D Insurance, • 8 weeks Paid Parental Leave, • Optional HSA with Employer contribution, • Flexible Time Off and company paid holidays, • Annual Learning and Development Stipend, • Work from Home Stipend Our Hybrid Workplace We have a unique hybrid workplace at Overjet — which combines the teamwork of meeting in person, with the flexibility of working from anywhere. Many of our positions are based in Palo Alto, New York City, Boston, and Lahore. The Jetsetters who live in these “geo-hubs” come to the office on Tuesdays and Wednesdays, while having the option to work from home the rest of the week. Our People Team is happy to answer any questions about what hybrid work means for your specific role! Overjet's Values • Excellence: We set ambitious goals and strive for excellence., • Velocity: We focus, act with urgency, and deliver results., • Ownership: We take ownership, dive deep and solve problems., • Win-win: We play to win, setting ourselves and our customers up for success., • Growth: We stay curious, seek feedback, and continuously learn and grow. Company Recognition • Certified as a ___, • Certified as a, • Won Best New Technology Solution for Dentistry at the ___, • Won Best New Technology Solution for Dentistry at the, • Honored as one of the ___, • Honored as one of the, • Recognized as one of the ___, • Recognized as one of the, • Named one of the ___, • Named one of the, • Included on the definitive ___, • Included on the definitive, • Featured in Bloomberg, Forbes, Fast Company, and TechCrunch EEOC Overjet is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. Even if you don't meet 100% of the qualifications for this job, we strongly encourage you to apply! If you are a Colorado resident: Please contact us by emailing to receive compensation and benefits information for this role. Please include the job title in the subject line of the email.

We are Rokt, a hyper-growth ecommerce leader. We enable companies to unlock value by making each transaction relevant at the moment that matters most, when customers are buying. Together, Rokt's AI-based relevance Platform and scaled ecommerce network powers billions of transactions. In December 2022, Rokt’s valuation increased to $2.4 billion USD, allowing us to expand rapidly across 15 countries. The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. Compensation: $215,000-$300,000 salary, employee equity plan grant & world class benefits. About the Role: You will be responsible for owning the health of our marketplace and driving its growth, including: • Defining the metrics for tracking the health of our marketplace, and build tracking to monitor this, • Proactive analysis and modeling to identify opportunities to further develop the marketplace, including innovating and building cutting-edge auction mechanics / pricing, • Partnering closely with R&D and Sales stakeholders to develop the strategy for growing the marketplace, including the product roadmap and Sales programs to drive growth, • 6+ years of industry experience as a Data Scientist, • Bachelor's degree in Statistics, Econometrics, Applied Math, or related fields., • Strong academic or professional experience with the latest auction theory, • Strong knowledge of Python 3 and SQL, • Entrepreneurial ownership and a deep desire to push the status quo, • Strong and clear communication skills, • Experience working with scaled marketplace and auction-driven businesses, • Strong analytical / modeling experience tied to business outcomes, • Applied use of visualization tools such as matplotlib, seaborn, tableau, • Experience with common Python data science libraries such as pandas, numpy and scipy As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock the full potential in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About The Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Accelerate your career. We offer roadmaps to leadership and an annual $5000 training allowance, • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!, • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance for your entire family!, • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town, • See the world! We have offices in New York, Seattle, Sydney, Tokyo and London We believe we’re better together. We love spending time together and are in the office most days (teams are in the office 4 days per week). We also get that you need to balance your life and your commitments so you have the flexibility to manage your own hours and can spend up to a week of every quarter working from anywhere. If this sounds like a role you’d enjoy, apply here and you’ll hear from our recruiting team.

Join our Personalization Surfaces Data Science team and help shape how we evaluate and improve Spotify’s user experience. In this role, you’ll build scalable tools and insights that integrate qualitative and quantitative signals—such as user behavior, sentiment, and customer care insights—to holistically assess product quality. This is a Data Scientist II individual contributor role for someone passionate about the intersection of behavioral data, user research, and product development. You’ll collaborate closely with user researchers, engineers, PMs, and fellow data scientists to diagnose friction, inform iteration, and ensure we’re building experiences users truly value. • Build tools and pipelines that combine user behavior data, in-app feedback, surveys, and qualitative research to evaluate product experiences across Spotify surfaces., • Develop frameworks to assess product quality and user sentiment at scale, enabling teams to monitor product health over time., • Collaborate with user researchers to design, interpret, and integrate studies into data-driven product strategies., • Communicate findings clearly and persuasively to stakeholders across product, engineering, and design., • You have experience as a data scientist or analytics professional working on consumer-facing products., • You are proficient in SQL and Python and skilled at developing analytics workflows using tools like BigQuery and dbt., • You think analytically and can structure ambiguous problems using mixed-methods evidence, including knowledge of survey design and statistics., • You’ve worked with both behavioral data (e.g. impressions, clicks) and qualitative inputs (e.g. survey free-text) to drive actionable insights., • You’re an excellent communicator who synthesizes insights across disciplines to guide product development., • You demonstrate a growth mindset, seek feedback, and support the development of those around you., • You embody Spotify’s values: Passionate, Innovative, Sincere, Collaborative, and Playful., • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have ___, • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have

Eight Sleep is the world’s first sleep fitness company. Our mission is to fuel human potential through optimal sleep. We use innovative technology, detailed design, and proven science and data to personalize and improve each night for everybody—changing the way people sleep forever and for the better. With our flagship product, the Pod, we are addressing critical sleep issues such as temperature regulation, bed elevation, snoring reduction, and the wake-up experience. Hundreds of thousands of customers around the world sleep better every night thanks to the Pod. But we’re just getting started. We’re committed to developing more groundbreaking products to tackle additional sleep problems, changing the role sleep plays in our lives forever. We’re excited about the journey ahead and the impact we can make as we continue to innovate and expand our offerings to fulfill our mission. We are backed by leading Silicon Valley investors like YC Combinator, Founders Fund, Valor, and Khosla Ventures, and we have been recognized as one of Fast Company’s Most Innovative Companies in 2018, 2022, and 2023. The Pod was also recognized two years in a row by TIME's “Best Inventions of the Year.” We currently sell the Pod in the United States, Canada, the United Kingdom, Europe, and Australia. Before you apply Eight Sleep is an intense environment: we’re demanding and ambitious, which means we ask a lot of ourselves and one another. This means fantastic learning opportunities, achievements, and career growth, but it also requires a significant commitment. Our dedication, drive, and intensity rival those of Olympic athletes. At Eight Sleep, we embody Kobe Bryant’s mamba mentality: we always aim to be at the top 1% of what we do. If you’re looking for a 9-5, this is not for you. Our employees report working up to 60 hours per week. If you want to be challenged and pushed harder than ever before, we invite you to apply. About the role We are looking to hire an experienced Data Scientist with a passion for scaling consumer brands. The ideal candidate will combine strong analytical skills with marketing acumen to guide optimizations to our growth strategies. Reporting to the CFO, the candidate will have an exceptional track record working as an individual contributor with sales and marketing data to build complex predictive demand and Media Mix models. How you’ll contribute * Work closely with the CFO, CEO, Growth and Finance teams, providing insights into business opportunities for incremental revenue growth * Develop and maintain predictive models for sales growth, customer behavior and lifetime value * Create a Media Mix Model that allows us to assess various scenarios for allocating spend across our various channels * Lead the quantitative analysis to provide insights that help the CEO, CFO, and VP of Growth understand marketing performance and member behavior * Create and maintain dashboards for key marketing metrics * Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools * Identify opportunities for growth and efficiency in our marketing funnel * Translate complex data insights into actionable recommendations * Translate product objectives to data science problems and vice versa * Build analytical ETLs to power data science models Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own ___, along with*: * Full access to health, vision, and dental insurance for you and your dependents * Supplemental life insurance * Flexible PTO * Commuter benefits to ease your daily commute * Paid parental leave *List of benefits may vary depending on your location At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Please note: This role is open to applicants in the US, Canada, LATAM, UK, or Europe. Compensation (salary and equity) is competitive based on location.

Captions is the leading AI video company—our mission is to empower anyone, anywhere to tell their stories through video. Over 10 million creators and businesses have used Captions to simplify video creation with truly novel and groundbreaking AI capabilities. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Technology ___ our proprietary omni-modal foundation model ___ generating A-roll video from audio with Mirage ___ for generating expressive videos at scale "Captions: For Talking Videos” available in the iOS app store Press Coverage Lenny’s Podcast: ___ Lenny’s Podcast: Latest Fundraise: ___ Latest Fundraise: The Information: ___ The Information: Fast Company: ___ Fast Company: Business Insider: ___ Business Insider: TIME: ___ TIME: Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** Key Responsibilities: * Perform data analysis and exploration to uncover insights and trends related to product and user behavior. * Design rigorous AB tests and evaluate the impact of product changes. * Collaborate with cross-functional teams to define key metrics and establish data-driven goals for product experimentation. * Develop and maintain analytical models to support full funnel analytics. * Use statistical techniques to identify patterns and opportunities in large datasets. * Create data visualizations and dashboards to effectively communicate findings and insights to stakeholders. * Work closely with designers and engineers to drive data-informed decision-making throughout the product development process. * Provide recommendations for improving user experience, conversion rates, and overall product performance based on data analysis. * Stay up-to-date with industry trends and emerging technologies in data analytics and apply them to enhance analytical capabilities. * Be a mentor to other team members and a data-driven thought leader to cross functional colleagues. Requirements: * 5+ years of proven experience as a data scientist or similar role, with a focus on analytics, AB testing, and product experimentation. * Strong proficiency in programming languages such as Python, R, or SQL for data manipulation, analysis, and modeling. * Expertise in statistical analysis, hypothesis testing, and experimental design for AB testing and product experimentation. * In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling. * Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations. * Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business. Bonus Points: * Bachelor’s or Master’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline. * Experience with full funnel analytics, including data collection, cleansing, transformation, and analysis. * Familiarity with data warehousing concepts and experience working with large datasets and distributed computing frameworks. * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Doordash DashPass subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only.

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, ___ aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. About This Opportunity Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you! This position is based in New York, NY and open to candidates in Boston, MA; and the Washington, D.C. area. What You Will Do • Deliver data science and/or machine learning professional services to the customers. This will entail working closely with cross-functional teams to gather requirements, preprocess, and analyze data to develop data-driven solutions., • Support customers by helping to build custom data models, transformation, scorers/optimization loss functions/metrics that can be leveraged with H2O Driverless AI and help improve training performance for the customer use cases/domains., • Ability to design and run training sessions for our customers in data science concepts as well as using H2O products. Training will need to be able to be delivered to audiences with varying data science skills and abilities., • Help customers understand the nuances of data science, expert settings of H2O Driverless AI and H2O open source, and the strategies of experiment tuning that you would use to incrementally improve model performance. This also includes explaining model performance, model interpretability, and post deployment model monitoring concepts so as to ensure the business is making the right decisions on the model predictions., • Participate in the development of ML solutions and AI applications for internal use, contributing to the advancement of our technology stack.What We Are Looking For, • Proven experience in software engineering, data science, machine learning, and AI with a minimum of 2 years of professional hands-on experience., • Knowledge and experience of using a variety of machine learning techniques (supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques., • Knowledge and experience of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) for practical applications., • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc., • Solid understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines, • Interest in Generative AI and Large Language Models (Prompt Engineering, Retrieval Augmented Generation, LLMOps, Making custom LLM models, fine tuning etc, Guardrails), • Strong problem-solving skills and the ability to work independently and as part of a team., • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.How To Stand Out from the Crowd, • Experience with solving machine learning problems using H2O products , Python, R., • Experience of visualizing and presenting (EDA) to stakeholders using H2O Wave, or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi., • Understanding and experience with post production model monitoring concepts and tools like H2O ML Ops MLFlow etc.Why H2O.ai?, • Market Leader in Total Rewards, • Remote-Friendly Culture, • Flexible working environment, • Be part of a world-class team, • Career Growth, • Salary range: $150,000 - 200,000 +H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit______to learn more. #LI-Hybrid

OffDeal is the world’s first AI-native investment bank for small businesses. Instead of selling AI to Goldman Sachs, we’re building what Goldman itself would have looked like if it launched in 2025. Wall Street's playbook works well, but only for billion-dollar deals - it breaks where most businesses actually exist. Traditional firms run oversized teams on outdated software, making smaller M&A transactions uneconomical. This leaves millions of small business owners with nowhere to turn for the most important sale of their lives… Until now. Our engineers built software to automate 80%+ of analyst work with AI, so our in-house bankers can focus where it counts - on earning owners’ trust and closing deals. We recently closed a $12M Series A ($17M in total funding) from Radical Ventures and Y Combinator and are scaling really fast. In less than a year, our team has already launched over 30 sell-side M&A transactions and has delivered numerous life-changing exits to our clients - and we’re just getting started. The Role As a Data Engineer, you'll be the architect of our data infrastructure, powering everything from AI-driven business valuations to strategic decision-making across the company, using data science. You'll work directly with our founders and cross-functional teams to build and maintain the data layer that enable our investment bankers to be 10x more productive. Your work will directly impact how we leverage data to transform the $10 trillion small business M&A market. What You'll Do * Build and maintain our core data infrastructure including Looker dashboards, BigQuery data warehouse, and all data pipelines from external and internal tools * Create product analytics dashboards that powers our business intelligence and lead generation efforts * Conduct data readouts for experiments and perform ad-hoc analyses to drive strategic decisions * Maintain and enhance OffDeal’s data lake by assessing new data vendors, cleaning and integrating external data sources, and improving accuracy of derived metrics using ML-based approaches * Build the golden datasets needed for effective prompt experimentation and A/B testing of LLM-based workflows * Improve search and ranking algorithms across all products * Handle all Revenue Operations infrastructure, including CRM data models, data hygiene, and marketing attribution to ensure clean, actionable business metrics We're Looking for Someone Who Has / Is a… * 3+ years of experience as a Data Engineer, Data Scientist, or similar role, at a technology company * Proficiency in SQL and experience with machine learning frameworks for data quality and ranking improvements * Experience working with a modern business intelligence data stack, especially BigQuery and Looker * Familiarity with of CRMs, marketing attribution, and revenue operations workflows * Experience with A/B testing frameworks and statistical analysis for product experimentation * High conscientiousness and meticulous attention to detail, ensuring data accuracy and reliability across all systems * Experience working with LLMs and prompt optimization is a plus Why Join OffDeal * We only hire best-in-class engineers, and are offering compensation to reflect it * Top-tier benefits, including medical, dental, vision, and unlimited PTO * 401K Matching * Perks like free food, Equinox membership, and NYC relocation allowance * Work with bleeding edge AI on a modern codebase * Opportunity to be a foundational team member at a well-funded, high-growth startup * Be part of a mission to shape the future of small business ownership and to promote American entrepreneurship

Hiring Rate: $74,536.0000 (Flat Rate) 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. OEPR's work focuses on promoting and protecting public health through emergency preparedness and response; and recognizes that social inequities negatively impact our efforts to maintain and improve the health of NYC during and after a disaster. With these inequities in mind, OEPR is also working to improve its application of a social justice and racial equity lens to its emergency preparedness and response work. OEPR's employees are expected to align their work with OEPR's efforts to combat the harmful effects of systemic injustices on communities and work towards the most equitable post-disaster public health outcomes possible. DUTIES WILL INCLUDE BUT NOT BE LIMITED TO: • Assist with and conduct research and analyses using a variety of quantitative methods across the Bureau including collaboration with the Planning and Training, Operations, Logistics, and Exercises, and Medical Reserve Corps-Emergency Staffing Units., • Collaborate with internal and external stakeholders to develop, document and maintain policies, procedures, systems, and applications to support Citywide health emergency field operations., • Assist teams from across the Health Department and City on ways to best leverage, utilize, and even establish standards on the use and application of data, data formats, and data analytical tools across a variety of projects., • Manage and analyze large datasets within SQL Server Databases across multiple servers., • Create test cases and perform User Acceptance Testing (UAT) for various projects., • Assist in the development of planning documents and targeted reports, dashboards, and data visualizations that surface key information about Citywide health emergency field operations data., • Assist with the conduct of trainings, including facilitating training modules and reviewing training curriculum, as needed., • Participate in the development and implementation of exercises and data drills., • Serve as a key member of the NYC DOHMH Incident Command System (ICS) during emergency responses, which may include 24-hour availability. PREFERRED SKILLS: • Experience with data collection, analysis and visualization, specifically analyzing and reporting on quantitative data from multiple sources;, • Experience with writing and maintaining technical documentation, including procedure guides and data dictionaries;, • Experience with implementing QA/QC procedures and UAT;, • Ability to prioritize and work in fast-paced environment with hard deadlines;, • Strong problem-solving capabilities, interpersonal skills, research skills and written and oral communication skills;, • Experience with data management software, warehouse management systems (WMS), geographic information systems (GIS), data visualization software (Tableau, Power BI), and/or relational database systems (SQL);, • Experience with any of the following: R, SQL, Python, SAS, SPSS, or STATA; and the ability and willingness to learn new data software and platforms as needs arise. Why you should work for us: • Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home., • Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work. Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise. Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers! The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at ___ or 347-396-6549. CITY RESEARCH SCIENTIST - 21744 2. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or, 3. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or, 4. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS ___ is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 300+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Our clients span the leading brands in finance, technology, media, CPG, real estate, and many other categories. These partnerships have earned us multiple awards and recognition: Emmys, Clios, Effies, Cannes Lions Awards, ProMax Agency of the Year, Digiday’s Most Innovative Media Agency and most recently the AdAge A-List. We couldn’t create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: Known’s Channel Data Science team is a group of data scientists embedded in our media buying practice to translate the domain knowledge we gain from running media for our clients to smart tools that push the limits of advanced advertising. Our work includes predictive modeling/optimization, building workflow automation apps, and the pioneering application of Generative AI for novel marketing solutions – all in the service of making our work less repetitive and manual, more optimized, and seeking better outcomes for our media activation and media consulting clients. We are seeking Data Scientists and Senior Data Scientists who can understand the core business objectives of our internal teams and our clients, and ideate, design, and develop innovative tools leveraging text-based Large Language Models (LLMs) and other Generative AI techniques. While experience in media is a plus, a passion for applying cutting-edge AI to marketing challenges is crucial. A significant focus of this role will be to champion and implement Generative AI initiatives. In this role more generally, you will work with, and guide (for senior levels), other data scientists on a variety of projects, interface with our other teams at Known, and drive forward some of our most difficult and innovative data science projects, particularly those harnessing the power of LLMs. WHAT YOU’LL DO All Levels: • Explore, develop, and deploy Generative AI (specifically LLM-based) tools for marketing applications, such as content ideation/generation, audience persona creation, automated reporting with natural language summaries, campaign strategy assistance, and enhanced customer insights, • Develop new techniques (e.g., traditional ML models, optimization algorithms, LLM fine-tuning, prompt engineering strategies, and automation) to improve Known IP and create tools for Known's clients, • Work with other data scientists and engineers to productionalize new tools, including GenAI-powered applications, • Stay current with advancements in Data Science and AI and identify opportunities for their application in the marketing domain, • Lead the exploration, development, and deployment of complex Generative AI initiatives, • Mentor other data scientists on the team, including upskilling them in Generative AI concepts and techniques, • Drive innovation by staying at the forefront of AI advancements and identifying strategic applications, • Manage multiple concurrent projects and serve as a technical leader on complex AI initiatives WHO YOU ARE AND WHAT YOU HAVE • A Bachelors, Masters or PhD from a well-regarded college or university. STEM degrees (e.g., Statistics, Economics, Data Science, Mathematics, Computer Science) are preferred, • Hands-on experience doing quantitative analysis, statistical modeling, optimization and/or machine learning, • Proven experience in developing and deploying solutions using Generative AI, particularly text-based Large Language Models (e.g., experience with APIs like OpenAI's, or open-source models)., • Experience utilizing Python and SQL, • Experience building data science software or analytical workflows, • Experience in advertising or advertising technology is a strong plus, especially if combined with GenAI application in this domain. Data Scientist: • 2+ years (with Masters/PhD) or 3+ years (with Bachelors) of relevant experience, • 1+ years of experience building data science software, ideally including applications leveraging AI/ML models., • Academic projects, internships, or personal projects demonstrating application of modeling techniques preferred Senior Data Scientist: • 4+ years (with Masters) or 2+ years (with PhD) of hands-on experience. Candidates with a Bachelors degree and 5+ years of highly relevant experience may also be considered, • 3+ years building data science software or robust analytical workflows, • Leadership experience managing or mentoring junior data scientists, • (Optional but recommended): Portfolio of projects or case studies demonstrating successful application of advanced modeling techniques to solve complex marketing problems (preferred) Skills, abilities, and knowledge • Superb communication and presentation skills, • An ability to translate business challenges into quantitative problems, and solve them by whatever means necessary, which may not always be strict machine learning, • Strong understanding of LLM capabilities, limitations, ethical considerations, and the evolving landscape of Generative AI technologies., • Proven ownership of projects taken to completion, • A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others’ work, • Experience working on a tech team, with experience in cloud technologies, version control, etc., • Experience in advertising or advertising technology is a plus Competencies • Ability to prioritize time, work and effort while multitasking on multiple projects, • Desire to mentor and teach others, • Collaborative attitude, • Self motivated and exhibits initiative, • Willing & able to learn quickly, • Abundant intellectual curiosity and integrity SOME OF OUR PERKS • Unlimited paid time off, • 401k with company matching and no vesting period, • Annual bonuses, • Generous medical plan, • Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is: Data Scientist: $110K - $130K Senior Data Scientist: $130K - $150K This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-RR1

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025. We are looking for a Lead Data Scientist to spearhead data science initiative focused on media and cable networks. In this role, you will develop and optimize data-driven engagement and retention models to minimize subscriber churn and accelerate subscription growth. You will collaborate closely with business stakeholders to gather requirements, translate business needs into technical solutions, and clearly communicate insights and recommendations to non-technical leadership. Your work will directly influence marketing, content, and pricing strategies to improve customer retention and lifetime value. Job Duties * Leverage structured and unstructured data from various media and entertainment sources to prepare datasets for advanced analytics and modeling. * Develop and deliver impactful analytical tools and solutions leveraging statistical modeling, machine learning, and data science to uncover business insights and support strategic decision-making. * Design and apply advanced predictive and machine learning models; including clustering (K-means, hierarchical), classification (KNN, Naive Bayes, CART), time series forecasting, logistic regression, and econometric models to optimize pricing strategies, assess price elasticity, segment customers, and enhance revenue across channels. * Leverage generative AI and large language models (LLMs) to develop and implement personalized content and messaging strategies across diverse media channels, enhancing audience engagement and campaign effectiveness * Assess and validate statistical models using appropriate performance metrics to ensure precision and accuracy such as accuracy, sensitivity, specificity, ROC, AUC. * Analyze consumer behavior trends and shifts across various digital touchpoints; perform cross-channel attribution analysis to inform targeted retention strategies. * Monitor and analyze key engagement metrics to assess the performance of subscriber onboarding programs and their impact on long-term retention. * Interpret complex analytical insights and translate them into clear, actionable business strategies that improve business outcomes. * Support scalable deployment of data products by following best practices in CI/CD processes and contribute to agile project management through tools like Jira for sprint planning, tracking, and team coordination. * Collaborate cross-functionally with technical and non-technical stakeholders to gather requirements, define project scope, and lead data science initiatives, demonstrating strong communication, leadership, and team-building skills * Master’s or PhD in data Science, statistics, computer science, or related quantitative field. * 5+ years’ experience in data science roles with demonstrated impact on retention, engagement, or churn reduction. * Advanced skills in Python/R, SQL, and experience with ML libraries (scikit-learn, XGBoost, TensorFlow/PyTorch). * Strong background in building predictive churn models, CLV, causal inference and uplift modeling * Leverage cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Spark, Hive, Databricks), staying current with evolving technologies and Databricks’ architecture for scalable data science workflows. Desired Qualifications * Familiarity with third party data such as comScore, Nielsen, IMDb, Gracenote, or similar platforms to enhance content performance analysis and audience insights is a plus * Experience in content analytics within subscription-based media and direct-to-consumer (DTC) products * Experience building personalization engines or recommendation systems in digital subscription environments. Additional Information: • Travel may be required for this position for company or department meetings., • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Subject to change based on Manager discussion or business need. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other benefits and perks. Learn more about the benefits offered by NBCUniversal by visiting the ___ of the Careers website. * Salary range: $145,000 - $175,000 (bonus and long-term incentive eligible) As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to ___. Although you'll be hired as an NBCU employee, your employment and the responsibilities associated with this job likely will transition to Versant in the future. By joining at this pivotal time, you'll be a part of this exciting company as it takes shape.

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

Description: Chaos Labs is the first automated, on-chain economic security system enabling crypto protocols to optimize risk management and capital efficiency while protecting user funds. We use world-class custom EVM and on-chain simulations to understand protocol mechanics and scenario implications. Our platform and tools are used by leading protocols, helping them manage and secure billions of dollars in assets such as Aave, Benqi, Osmosis, Uniswap, and more. We’re scaling the data science team in our New York (Williamsburg) office to help build trailblazing models and products to better secure DeFi protocols. This team will be influential in building financial simulation models to monitor and optimize risk across DeFi. We are looking for candidates with domain expertise in financial modeling and a deep interest in crypto. Responsibilities • Work alongside leading crypto engineers and product managers to deep dive into market-leading protocols and help drive game-changing insights and predictions (see example), • Lead and drive innovative research to understand how different actors in the crypto market behave and interact, and drive modeling of such actors into Chaos Labs’ simulation platform, • Present your insights and suggestions to audiences both internally and externally with the opportunity to publish industry-defining research, • Explore new algorithms and techniques to surface insights in DeFi security and optimizations, • Build data models and visualizations of public blockchain data and simulation results that provide intuitive analytics to customers such as AAVE, Uniswap, dydx, and others Requirements: • 4+ years of professional experience in Data Science - a must, • Previous experience in FinTech or DeFi domains - a must, • Experience in derivative trading - a plus, • Broader understanding of crypto and blockchain ecosystem - a plus, • Solid understanding of machine learning techniques and algorithms, • Hands-on experience with Python and relevant data science packages, • You love working in small, dynamic, fast-paced teams that encourage you to learn and grow, • Bonus points for prior web3 experience using Dune or writing smart contracts, • Based in NYC with the ability to work from our Brooklyn office. Our Perks: • Competitive PTO (21 days) + sick days (7) + 8 observed US-company holidays., • 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents., • FSA or HSA (pending on selected health insurance)., • Generous 401k plan with employer match., • Thoughtful Parental Leave Policy., • Corporate wellness programs with OneMedical, Teladoc, Talkspace, EAP., • Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalized professional development., • Pre-tax Commuter Benefits., • Salary and seniority level commensurate with experience (range: $130-150K USD)

Luminary Group is currently partnered with a leading life science company who are seeking a highly skilled and experienced Senior Data Scientist with expertise in Real World Evidence (RWE) to join their team. As a Senior Data Scientist, you will be responsible for driving the analysis and interpretation of real-world data to generate valuable insights and support evidence-based decision making in the healthcare industry. • Lead and guide the development and implementation of data mining and statistical modeling techniques to analyze complex real-world evidence (RWE) datasets., • Preprocess and clean large-scale real-world data to ensure data quality and integrity., • Apply advanced statistical and machine learning algorithms to extract meaningful insights and patterns from RWE data., • Develop predictive models to forecast outcomes and trends based on real-world evidence., • Collaborate with cross-functional teams to interpret analysis findings and communicate results to stakeholders., • Stay up-to-date with the latest research and advancements in data science and real-world evidence., • Implement data visualization techniques to effectively communicate analysis results., • Lead the development of data-driven products and solutions for the healthcare industry., • Mentor and provide guidance to junior data scientists., • Bachelor's degree in data science, computer science, statistics, or a related field; advanced degree preferred., • Minimum of 5 years of experience as a Data Scientist, preferably with a focus on real-world evidence (RWE) and the healthcare industry., • Proven track record of successfully leading and implementing data science projects., • Strong knowledge of data mining, statistical modeling, and machine learning algorithms., • Proficiency in programming languages such as Python or R for data manipulation and analysis., • Experience with data visualization tools, such as Tableau or Power BI., • Solid understanding of database systems and SQL for data querying and manipulation., • Excellent analytical and problem-solving skills, with the ability to find insights in complex datasets., • Strong communication and collaboration skills, with the ability to work effectively in a team environment., • Experience with healthcare data and familiarity with healthcare data standards is highly desirable., • Understanding of regulatory requirements and ethics related to data analysis in healthcare.

ABOUT FANDUEL FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product. In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). THE POSITION Our roster has an opening with your name on it FanDuel is looking for a data scientist who specializes in marketing modeling to join our team. In this role you will develop and evolve our internal marketing mix model, help create a roadmap to support its evolution, and deliver actionable insights driving business and marketing KPI. This role requires a strong background in data science, machine learning, and a deep understanding of marketing analytics. It is expected in this role to take ownership of open-ended ambiguous problems and reach an optimal solution by narrowing multiple options into the best approach. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play • Develop and manage mix models to report on effectiveness of campaigns across all our products, • Build robust predictive models, showing capabilities of feature and model selection; develop, iterate and take to production advanced machine learning models, • Identify appropriate tools, systems, and models to solve large data problems and improve efficiency in the data infrastructure; choose the 'best' approach given available resources, • Create tools and models to generate actionable insights on Marketing campaigns, • Troubleshoot and resolve coding and modeling problems presented by others, • Work with agencies, vendors and in-house data engineers to source and manage all the data elements required for marketing mix modelling and channel attribution, • Partner with decision-makers across the company to understand their goals, identify opportunities to use data to develop new insights, and improve business results, • Present to senior leaders confidently and with impact THE STATS What we're looking for in our next teammate • Minimum of 5 years of industry experience in data science, analytics or engineering preferred, • Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science preferred, • Strong analytical and quantitative skills, with high proficiency in Python and SQL (or coding language of choice), • Experience creating and managing models for marketing mix and channel attribution, • Experience with Databricks or similar cloud-based data science platform. Bonus points for experience optimizing compute based on model specifications, • Experience with Git, at least familiar with concepts such as branches, commits, and pull requests, • Familiarity with on- and off-line marketing data, • Experience using simulations for scenario analysis and recommendations, • Experience delivering model result to business users and have recommendation implemented, • Knowledge of sports and/or experience working within a heavily regulated industry is a plus, • Strong verbal and written communication skills – demonstrable track record of influencing marketing strategy through your insights PLAYER BENEFITS We treat our team right We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: ___. *Benefits differ across location, role, and level. FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. The applicable salary range for this position is $149,000 - $195,300 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #LI-Hybrid

OUR STORY: Equinox Group is a high growth collective of the world's most influential, experiential, and differentiated lifestyle brands. We restlessly seek what is next for maximizing life - and boldly grow the lifestyle brands and experiences that define it. In addition to Equinox, our other brands, SoulCycle and Equinox Hotels are all recognized for inspiring and motivating members and employees to maximize life. Our portfolio of brands is recognized globally with locations within every major city across the United States in addition to London, Toronto, and Vancouver. OUR CODE: We are passionate about high performance living and we practice what we preach – investing time in our own health and fitness. We believe that everyone has untapped potential within them and it takes a disruptive approach to unleash it. We dream big and don’t settle for the status quo. We sweat the details. We never accept less than 110% to help each other deliver the Equinox experience and enable our members to get great results. We are obsessed with what’s new, what’s now, what’s next. Never following, always leading, and living ahead of the moment in fashion, culture, and consumer behavior. We aren’t just a company; we’re a community vested in each other’s success. We value humility and a team approach at every level of the company. If you are a high performing individual who is passionate about winning and inspiring others then we are excited to discuss career opportunities with you. We are seeking an experienced Data Scientist to join our team in developing and implementing advanced analytics solutions and recommendation systems. This role will focus on creating forecasting and classification models to drive business decisions, particularly in the domains of sales optimization and customer retention. As a Data Scientist on our team, you will be responsible for developing and maintaining a diverse portfolio of machine learning models, including classification, forecasting, and regression systems for critical business applications. A key focus of this role will be creating and implementing propensity models to help optimize our conversion funnels. You'll also build predictive models for attrition analysis and lifetime value estimation. The role involves extensive data exploration and analysis to support various business initiatives, working in close collaboration with our Sales, Marketing and Operations teams to understand and meet their requirements. You'll focus on automating and productionizing machine learning pipelines to ensure scalable solutions while also designing and executing experiments to measure them. Your expertise will be instrumental in driving data-driven decision-making processes across the organization. You will also be heavily involved in building content recommender systems, generative AI applications, A/B testing, natural language processing, data product development, and data platform development. Experience with developing and deploying data pipelines, software development, writing unit tests, git, CI/CD, and DAG tools will be valuable skills towards these initiatives. You will work closely with fellow data scientists, analysts, data engineers, and product managers on the broader tech team. This role reports to the Head of Data Science. • A degree in a computational field (Ph.D. preferred), • 3+ years of experience in Data Science, ML Engineering or related field, • Expertise in building models to aid business forecasting and decisions (e.g., lifetime value, churn, seasonality, likelihood to convert, utilization, pricing), • Expertise with optimization algorithms and problem formulation, • Expertise in measuring predictions via A/B tests and other experiments, • Exceptional Python experience as well as common libraries for data exploration, data cleaning, machine learning and statistical analyses, • Advanced SQL, • Databricks, • Recommender systems, • Natural Language Processing, • Cloud infrastructure (we work on AWS and deploy infrastructure using Terraform. Common services we user are Athena, Redshift, Lambda, Dynamo, S3, API Gateway, CloudWatch, Bedrock, Amazon Personalize), • Event-driven and batch data pipeline architectures, • Workflow orchestration tools (we use Prefect and Rundeck), • Version control (we use GitHub), • CI/CD build and deployment tools (we use Travis and Jenkins), • Writing unit tests, • Proven track record in developing and deploying machine learning models and predictive software applications AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Complimentary Club membership Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at ___ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Today thousands of leading brands and agencies use ___ to win the battle for attention with content that both humans and agents love. We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences. We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay. We’re hiring a Data Scientist to design and implement advanced NLP workflows that turn large-scale, unstructured data into actionable insights about brand visibility. You will work on tasks such as text processing, entity extraction, clustering, and semantic search, as well as develop the analytical models that power these capabilities. Your work will power ML-driven capabilities in the AirOps platform and give customers deeper, data-backed insights into their brand visibility across AI-driven channels. * Build and maintain NLP workflows for processing unstructured text, including embeddings, entity extraction, and classification * Develop clustering, semantic search, and pattern detection methods to uncover insights in large datasets * Analyze large, multi-source datasets to identify trends, measure brand visibility, and surface actionable insights for customers * Evaluate and refine NLP techniques using quantitative metrics and real-world performance data * Ensure data quality through preprocessing, feature engineering, and rigorous validation * Collaborate with data engineers to integrate NLP and analytical solutions into production pipelines * Partner with product and engineering teams to translate business needs into scalable, data-driven solutions * Monitor and iterate on performance of deployed solutions to ensure ongoing accuracy and relevance * 4+ years of experience in data science, applied NLP, or analytics, ideally in AI, SaaS, or data-intensive products * Strong fluency in Python and SQL, with experience manipulating and analyzing large datasets * Hands-on experience with NLP libraries and frameworks such as Hugging Face, spaCy, or LangChain, and familiarity with LLM-based workflows * Proven ability to extract insights from complex, multi-source datasets and communicate findings clearly to both technical and non-technical audiences * Understanding of clustering, semantic search, and related ML techniques * Experience with data warehouses and OLAP databases (e.g., Redshift, Snowflake, BigQuery, ClickHouse) * Familiarity with data preprocessing, feature engineering, and validation techniques to ensure data quality * Comfort operating in fast-paced, ambiguous environments where you ship quickly and iterate * Extreme Ownership * Quality * Curiosity and Play * Make Our Customers Heroes * Respectful Candor * Equity in a fast-growing startup * Competitive benefits package tailored to your location * Flexible time off policy * Generous parental leave * A fun-loving and (just a bit) nerdy team that loves to move fast!

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on ___ and ___, and discover the projects we’re solving on our ___. Be sure to explore our ___ to learn how to ace our interview process. The Community Discovery Machine Learning (CDML) team powers the systems that help millions of active viewers find the creators and communities they'll enjoy most. Powering the home page recommendations, browse, search, and feed ranking experiences, this team and its algorithms are at the heart of enabling the connections that make Twitch a great place for so many users. Data is critical to the algorithms that power the recommendation, search, and ranking systems. It's also critical to making decisions, especially working on systems that are themselves data-driven. As a Senior Data Scientist on the CDML team, you'll be responsible for helping drive improvements to the machine learning systems as well as analytics to drive decision-making. While there is a team of Applied Scientists building and shipping the algorithms themselves, data science can help improve these systems directly. In this role, you can identify and build new signals to input into the models. We're also working on the value model that the algorithm optimizes, and your input will be critical to understanding the tradeoffs and balancing multiple objectives in a scientific way. We also still have big unanswered analytics questions to solve. How often do viewers just want to get to the content they already know they want to watch, and when are they open to exploring new channels? These are the sorts of questions you'll be tackling. You can work in San Francisco, CA; New York, NY; or Seattle, WA. • Inform product strategies by defining and updating core metrics for each initiative, • Estimate the opportunity sizing of new features the team could take on, • Identify and build new signals to incorporate into the algorithms driving recommendations, search, and feed ranking at Twitch, • Identify metric tradeoff ratios that help inform value model choices, long-term impact from early-growth-funnel users, and other product decisions, • Establish analytical framework for your team: ad-hoc analysis, automated dashboards, and self-service reporting tools to surface key data to stakeholders, • Design A/B experiments to drive product direction with iterative innovation and measurement, • Work hand-in-hand with business, product, engineering, and design to proactively influence and inform teammates' decisions throughout the product life cycle, • Distill ambiguous product or business questions, find clever ways to answer them, and to quantify the uncertainty, • BA/BS in Analytics, Data Science, Computer Science, Mathematics, or equivalent industry experience, • 5+ years of experience as a data scientist or data analyst in a high velocity, data-driven environment, • 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience, • Expert SQL skills and proficiency in Python/R, • Experience using data to create insight, drive business decisions and influence leadership, • MS/MA or higher in Analytics, Data Science, Computer Science, Mathematics, or a related technical field, • Experience working on algorithms powering large-scale consumer services, • Experience in a data science team working on customer software products, analytics, and insights, • Experience working with software development and operational event data, • Familiarity with Twitch, either as a viewer or creator (or both!), • Medical, Dental, Vision & Disability Insurance, • 401(k), • Maternity & Parental Leave, • Flexible PTO, • Amazon Employee Discount We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Twitch values your privacy. Please consult our ___, for information about how we collect, use, and disclose personal information of our candidates. Job ID: TW8683 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit ___. Applicants should apply via our internal or external career site. US Pay Per Year$153,300—$247,400 USD

About Fundwell: Fundwell is a modern business financing platform helping small and medium-sized businesses access the capital they need to grow. By combining cutting-edge technology with unmatched speed and simplicity, we deliver fast, trusted funding solutions that empower our customers to succeed. Role Overview: We’re looking for a motivated Data Scientist to join our analytics and data engineering team. In this role, you’ll work at the intersection of data modeling, analytics, and business operations — leveraging tools like BigQuery, Fivetran, and Retool to build scalable pipelines, create insights, and empower stakeholders with actionable data. Key Responsibilities: * Design, build, and maintain robust data pipelines using Fivetran and BigQuery to support reliable, real-time analytics. * Develop and maintain data models and dashboards in Retool to provide self-service reporting and decision support to teams across Fundwell. * Perform exploratory data analysis and advanced analytics to identify trends, opportunities, and improvements within our underwriting and customer operations. * Collaborate with stakeholders to define KPIs, build metrics, and ensure data integrity. * Partner closely with engineering and AI/ML teams to ensure data availability and consistency across systems. * Continuously improve data processes, documentation, and best practices. What We’re Looking For: * Hands-on experience with BigQuery or other cloud data warehouses. * Proficiency with ETL tools like Fivetran or similar modern data integration tools. * Strong SQL skills and a solid understanding of data modeling concepts. * Experience building internal tools or dashboards with platforms like Retool is a plus. * Ability to translate complex data into clear insights and recommendations for business teams. * Strong communication and collaboration skills. Why Join Fundwell: * Make a real impact helping small businesses thrive through data-driven insights. * Work in a supportive, fast-paced environment with a collaborative team. * Competitive compensation, benefits, and opportunities for professional growth at a rapidly scaling fintech company.

Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how. We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow. Important note: Please submit CVs in English The role We empower businesses in the digital economy, and we know that every payment counts. Our Payment Performance team’s mission is to manage and optimise merchants’ payment flow, to achieve optimal conversion, compliance and cost. Checkout.com is looking for a Senior Data Analyst to join our Payment Success team to craft an all-encompassing payments strategy tailored specifically for our Tier-1 merchants. You will be the main point of contact for a merchant regarding their payment performance. You will play a critical role in defining, delivering and building tools for the right insights to showcase the value of our optimal payment strategies. You will work closely with Payment Performance engineers and data scientists leveraging cutting-edge technology and data insights. You will also collaborate regularly with other teams and cross-functional stakeholders to establish priorities and drive merchant performance improvements. Hybrid Working Model: All of our offices globally are onsite 3 times per week (Tuesday, Wednesday, and Thursday). We’ve worked towards enabling teams to work collaboratively in the same space, while also being able to partner with colleagues globally. During your days at the office, we offer amazing snacks, breakfast, and lunch options in all of our locations. How you’ll make an impact • Deliver expertise and guidance to our key merchants by crafting optimal payments strategy., • Conduct deep-dive exploratory data analysis to uncover insights and anomalies, • Conduct experiments and A/B tests to improve performance, including ML based solutions., • Develop cutting-edge automation tools aimed at monitoring and optimising merchants’ performance., • Implement robust measurements to assess how proposed solutions impact merchants' performance and revenue, providing valuable insights for both internal and external ROI., • Collaborate with various teams across the company to ensure an outstanding merchant experience and feed requirements for product development, • Elevate internal awareness, particularly within the executive team, regarding the full spectrum of merchant services and benefits provided, • Drive a culture of cross-team learning and knowledge sharing 5+ years experience as data scientist, working with large and diversified data sets * Bachelor’s degree, preferably in Mathematics / Statistics / Computer Science / Engineering, Finance or equivalent * SQL/ Python knowledge to extract & analyse data from our Data Warehouse * Experience with Git & Spark, Databricks, Retool, API * Ability to find creative and effective solutions for business problems * Flexible, adaptable and has a willingness to learn * Payments or Fintech experience is a plus If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values Please submit CVs in English. Additional Information New York City law requires Checkout.com to include in job postings a reasonable estimated salary range for this position. However, exact compensation may vary subject to several factors such as a candidate’s level, relevant experience, qualifications, skills and proficiency for the role. The information provided here is applicable to those working in the New York City office. However, this role may also open to applicants from other US locations and will be advised on the relevant pay for that location. For regular full-time employees in New York City, the estimated base salary for this role is $138,720 -163,200 per year. Our competitive salaries are just one component of Checkout.com’s total compensation package. Additional benefits include: health, vision, dental insurance, 401k, vacation and sick and safe time, learning days and volunteer days. To view more details of what you can look forward to, visit our careers page: ___. Apply without meeting all requirements statement If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values. We believe in equal opportunities We work as one team. Wherever you come from. However you identify. And whichever payment method you use. Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success. When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us. We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We’ll be happy to support you. Take a peek inside life at Checkout.com via • Our Culture video ___, • Our Culture video, • Our careers page ___, • Our careers page, • Our LinkedIn Life pages___, • Our Instagram___, • Our Instagram

Serves as a Data Scientist for Independent Compliance Risk Management (ICRM)’s Surveillance team responsible for the design, implementation, and oversight for a suite of surveillances designed to detect behaviors that may violate regulatory rules or internal policies and procedures. When potentially anomalous behavior is detected, the team is responsible for escalating the activity and working collaboratively with partners across the first and second lines of defense to determine the appropriate resolution of the matter, which may include employee discipline. . The ICRM Global Surveillance platform encompasses a number of surveillance related portfolios including trade surveillance, e-communications and voice surveillance, employee trading, outside activities surveillance, and information barrier surveillance. Responsibilities: * Designing and developing tools and methods for generating and analyzing electronic communication surveillance alerts. * Employing advanced text analysis and natural language processing techniques to improve electronic communication surveillance tools and applications. * Improving surveillance tools and applications by coordinating with Information Technology on the timely implementation of enhancements and proactively addressing potential issues. * Strong skills and demonstrable success in applying text analytic and natural language processing/understanding techniques such as entity extraction, sentiment analysis, intent detection, and topic modeling required * Proficiency in programming languages and packages for data science (e.g. Python, Scala, TensorFlow) required * Creating, enhancing and implementing surveillance scenarios and conducting surveillance reviews. Improving surveillance tools and applications by coordinating with Information Technology on the timely implementation of enhancements and proactively addressing potential issues. * Gathering, reviewing, investigating and analyzing trade data as well as responding to regulatory inquiries from each of the major regulatory bodies (e.g. FINRA, SEC, CFTC). The response process includes compiling all requested documentation, analyzing the results to identify potential issues, escalating potential risk issues to the appropriate coverage areas and providing input on potential corrective action plans designed to address issues that are identified. * Participating in ad-hoc requests, special projects and regulatory exams directed by other organizations within the compliance or legal departments. * Other responsibilities include: overseeing the monitoring to adherence to ICRM’s Risk Policies and relevant procedures; preparing, editing and maintaining Compliance program related materials; interacting and working with other areas within Citi, as necessary; and keeping abreast of regulatory changes, new regulations and internal policy changes in order to further identify new key risk areas. * Interacting with global counterparts in regards to the governance of their surveillance portfolio. * Additional duties as assigned. * Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: * Five to eight years of experience in data science, machine learning, quantitative research, quantitative analysis, advanced statistical methods, surveillance design, and/or data modeling required. * Experience designing and prototyping surveillance patterns using time series analysis, features engineering, random forest, natural language processing, and/or advanced statistical methods highly desirable. * Prior experience managing and delivering surveillance projects highly desirable. * Proficiency in programming languages and packages for data science (e.g. Python, Scala, TensorFlow) required. * Big data and cloud computing experience highly desirable. * Assess and adapt latest trends in data science for application within ICRM surveillance. * Serve as subject matter expert for strategic surveillance design. * Assess and advice on methodological alternatives for data science solutions. * Lead and mentor junior data scientists. * Expertise of Compliance laws, rules, regulations, risks and typologies * Ability to organize workflow, ideas and materials * Experience with drafting Business Requirement Documentation (BRD) * Excellent written, verbal and analytical skills * Must be a self-starter, flexible, innovative and adaptive * Self-motivated and detail oriented * Advanced presentation skills with the ability to articulate complex problems and solutions through concise and clear messaging * Ability to work collaboratively with regional and global partners in other functional units; ability to navigate a complex organization; to influence and lead people across cultures at a senior level * Experience in managing regulatory exams and relationships with examiners, auditors, etc. * Awareness of regulatory requirements including local and US laws, international and industry standards * Advanced knowledge in area of focus Education: * Bachelor’s degree; experience in compliance, legal or other control-related function in the financial services firm, regulatory organization, or legal/consulting firm, or a combination thereof; experience in area of focus Job Family Group: Compliance Job Family: Surveillance Time Type: Full time Primary Location: Jersey City New Jersey United States Primary Location Full Time Salary Range: $176,720.00 - $265,080.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. Anticipated Posting Close Date: Jun 13, 2025 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review ___. View Citi’s ___ and the ___ poster.