Senior data scientist jobs in North Hempstead, NY

Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for a Senior Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance. Your work will directly impact our member recommendations and provider-facing data products. You will also be a technical leader, raising the bar for how we conduct analysis, build models, and deploy data science code by improving standards and mentoring team members. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: * Partner with product managers and clinical experts to lead projects shaping how we define and measure provider cost and quality * Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors * Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates * Partner with data engineers to design scalable data pipelines that ingest, clean, and enrich healthcare provider data * Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions * Define data science standards and best practices, and mentor team members to raise the technical capabilities of the data science team What you will bring to the team: * 5+ years professional experience in data science, product analytics, and/or healthcare * A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders * Strong Python and SQL skills * A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success * Experience working in a rapidly evolving startup environment * A desire to be a part of our mission to improve the U.S. healthcare system Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $196,000 - $240,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com email domain exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to *********************************. Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at ********************.

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for a Senior Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance. Your work will directly impact our member recommendations and provider-facing data products. You will also be a technical leader, raising the bar for how we conduct analysis, build models, and deploy data science code by improving standards and mentoring team members. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Partner with product managers and clinical experts to lead projects shaping how we define and measure provider cost and quality Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates Partner with data engineers to design scalable data pipelines that ingest, clean, and enrich healthcare provider data Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions Define data science standards and best practices, and mentor team members to raise the technical capabilities of the data science team What you will bring to the team: 5+ years professional experience in data science, product analytics, and/or healthcare A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders Strong Python and SQL skills A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success Experience working in a rapidly evolving startup environment A desire to be a part of our mission to improve the U.S. healthcare system Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $196,000 - $240,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com email domain exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to *********************************. Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at ********************.

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

CTC is a cutting-edge proprietary trading firm with a long-term vision and a clear focus on helping the world price and manage risk. Our fun and trusting culture inspires us to solve the industry's most challenging problems and take calculated risks in a collaborative environment. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. Join our team as a Data Scientist in the systematic vol trading space, to advance research, grow trading, and expand strategies. You will work on large amounts and broad varieties of data. You will work closely with Quant Researchers, Engineers, and Traders to optimize trading strategies by owning and maintaining useful datasets. You will also have exposure to multiple functions throughout the organization including backtesting platforms and trading systems. What You'll Do Perform exploratory, detailed, and statistical data analysis to provide insights and quality checks into the datasets. Build data pipelines, design validation metrics, and own the correctness and maintenance of the datasets. Develop derived datasets with relevant metrics and integrate datasets for downstream applications such as alpha generation, backtests, and production trading systems. Engage with quant researchers in trading desks and engineers in central data teams to understand the characteristics of the datasets. Contribute to the improvement and innovation of trading strategies by providing critical data insights. Ensure that data handling processes are flawless and strictly follow industry standard methodology. Successfully implement solutions that improve data quality and accessibility for the entire organization. What We're Looking For 5 - 7 years of financial industry experience. A proven commercial approach and enthusiasm for collaborating directly with quants and risk managers. Outstanding oral and written communication skills and a great teammate. Strong knowledge of financial market data. Knowledge of options trading data is a big plus. Expertise in writing robust production code in Python for data tasks with proficiency in object-oriented design and emphasis on testing and monitoring. Experience in wrangling and manipulating large-scale data efficiently with pandas or numpy, and adept at addressing data issues. Experience with data ETL processes and writing SQL queries is a big plus. Familiarity with job scheduling tools like Airflow is advantageous. Knowledge of Linux is a plus. Compensation The salary range for this role is listed below. This role is also eligible for an annual discretionary bonus. The discretionary bonus will be dependent upon the individual's skills, experience, qualifications, and firm performance. Salary Range$200,000-$225,000 USD Most teams at CTC, with the exception of Trading, follow a hybrid workplace model, subject to change based on business need. Our Benefits We strongly believe in the well-being of our employees and their families so we offer outstanding benefits to support you both professionally and personally. These benefits include generous medical coverage, paid parental leave, free breakfast and lunch (plus healthy snacks, of course), wellness reimbursement, quarterly recharge days, and a variety of other benefits focused on providing the best employee experience. (Disclaimer: interns and contractors are not eligible for benefits at CTC) Our Commitment to Diversity, Equity and Inclusion At CTC, we aim to cultivate a workplace that celebrates diversity and each person feels included, engaged and empowered. Where each of us feels we belong. We are committed to having a diverse workforce and are proud to be an equal opportunity employer. CTC does not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us at ***********************. Note that emails sent to this email account for non-disability related issues, such as following up on an application, will not receive a response. Use of Artificial Intelligence (AI) Information submitted by job applicants may be subject to review and analysis by automated systems, including Artificial Intelligence (AI), as part of the recruitment process. Such systems are utilized to enhance the efficiency and effectiveness of our hiring procedures. Applicants are advised that any information provided may be evaluated by AI tools to ensure an equitable and thorough assessment.

Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! The Impact You'll Be Contributing to Moloco: Growth Data Science is a global team of data scientists who work with internal and external stakeholders to improve the effectiveness of Moloco Ads and help advertisers achieve their business goals. As a Senior Data Scientist you will act as a leader within the team, working across a portfolio of top strategic advertisers and taking ownership of high impact product initiatives. This is a critical and highly cross-functional role with diverse responsibilities; * Advertiser engagement; engaging with advertisers to understand their business objectives, measurement strategies and identifying opportunities for Moloco to drive business value Measurement consultation; consulting with advertisers on measurement methodologies, helping them to understand nuances between different measurement solutions (MMP attribution, incrementality, MMM) and supporting the activation of Moloco incrementality solutions * Insights generation; data collection, analysis and effective communication of learnings and recommendations to multiple levels of stakeholder up to C-Level * Campaign optimization: partnering with internal and external teams on analysis and testing to identify opportunities to improve Moloco campaign effectiveness * Product development; collaborating with key stakeholders across Moloco product and engineering teams to help improve our products and services based on market insights and advertiser feedback * Product activation; collaborating with Moloco business teams to develop activation strategies to unlock product performance and drive adoption across advertiser groups Minimum Requirements: * Education: Bachelor's degree or equivalent practical experience. * Statistics: must have knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis. * Programming: experience in Python and SQL is required. * Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs. * Excellent verbal and written communication skills. Ability to distill complex concepts and information into simple recommendations, presenting to stakeholders at various levels of seniority and technical expertise. * Experienced building partnerships with advertisers and business teams to grow an Ads business using data and analytics. * Proven ability to own projects end-to-end and operate in ambiguous problem spaces, able to develop creative solutions to complex problems. * Demonstrated leadership and self-direction. Our Compensation And Benefits (for United States Residents Only) In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package. Base Pay Range: $172,000-$220,000 USD Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. We offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. Moloco Values: * Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. * Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible. * Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. * Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail. Additional Resources: * Moloco Company Blog * Moloco Leadership * Moloco Newsroom Equal Opportunity: Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy. Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.

Uniswap Labs builds products that help millions of people access DeFi simply and securely ‒ from the Uniswap Web App and Wallet to crypto infrastructure like the Uniswap Trading API, and Unichain. Uniswap Labs also contributes to the development of the Uniswap Protocol, which has processed over $2.9 trillion in volume across thousands of tokens on Ethereum and 12+ other chains. When you join Uniswap Labs, you become part of a team that's reshaping the way value flows on the internet. We are seeking a Senior Data Scientist who will work in a highly collaborative and cross-functional setting to empower data-driven decision-making at the company level. The successful candidate should possess exceptional analytical and problem-solving skills, as well as the ability to communicate results in a clear and concise manner. In this role, you'll collaborate with a wide array of cross-functional teams to identify growth opportunities, design and interpret experiments, and develop impactful solutions that drive impact against product and Company Goals. We are headquartered in SoHo in New York City, and this role has the option to be partially or fully remote. Responsibilities Tackle open-ended business questions through in-depth analysis using on-chain and off-chain data, delivering insights and strategic recommendations that influence team direction. Take responsibility for the end-to-end data pipelines-ranging from data collection and instrumentation to building clear, impactful visualizations. Lead technical reviews, support teammates with strong SQL and Python skills, and develop reliable, well-documented ETL processes. Uphold strong standards for analytical rigor-design and execute experiments and causal studies that earn stakeholder trust and support sound decisions. Requirements Bachelors degree in a quantitative field (Computer Science, Statistics, Math, Economics) with 5+ years of relevant Data Science experience, or a Master's/PhD in a quantitative field with with ≥3+ years of relevant Data Science experience Proven track record of leading high-impact data science projects in ambiguous problem spaces Hands-on experience using advanced modeling techniques to solve real-world business challenges Familiarity with blockchain data and analytics tools Professional experience or personal project experience in crypto Demonstrated proficiency in SQL and Python Previous experience using data modeling and pipeline tools like dbt, Dataflow Strong communication skills and the ability to present insights to team members in other domains Ability to prioritize effectively in a highly dynamic start-up environment with limited guidance Nice to Have Experience working in fast-paced, high-growth technology companies Professional experience with DeFi/web3 Fondness for the color pink Minimum full-time salary of $195,000-$217,000. Disclosure in accordance with New York City's Pay Transparency Law. Full Time employees at Uniswap Labs are also eligible for other compensation elements, including equity, tokens, and benefits, dependent on the position type. Uniswap Labs' Full-Time employee benefits include company-paid medical, dental, & vision for you and your dependents, gym subsidy, 401(k) with 4% employer contribution, annual $1,500 education stipend, unlimited and encouraged time off, up to 16 weeks paid parental leave, home office setup stipend for remote employees and daily lunches at NY headquarters (all benefits are subject to applicable taxes and based on eligibility). Uniswap Labs is committed to diversity in our workforce and is proud to be an Equal Opportunity Employer (EEO). We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability (including gender dysphoria and similar gender-related conditions), sex, gender identity or expression, sexual orientation (including actual or perceived heterosexuality, homosexuality, bisexuality, and asexuality), veteran status, military status, domestic violence victim status, reproductive health decision making or any other protected category. In addition, Uniswap Labs participates in E-Verify. You can view the E-Verify poster here and the Right to Work poster here.

Base is planning to bring a million developers and a billion users onchain. We need your help to make that happen. At Base, we live by our Stay Based values: we do the right thing, work hard, stay optimistic, prioritize the team, and push creative boundaries-all while building the future of onchain. We value a Zone 3+ work ethic, where our team rises to the challenge, embraces hard weeks, and makes small to significant personal tradeoffs when necessary to drive impact and innovation. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. What you'll be doing: Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making. Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders. What we look for in you: A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. Ability to influence external stakeholders by synthesizing data learnings into compelling stories. Practical expertise in applying complex modeling frameworks to practical business problems. Professional experience using SQL and Python. Experience working with digital products in an iterative development cycle. Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility + benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370-$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment . To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com.

Senior Data Scientist - Machine Learning 1654-1 Hourly pay: $80-$100/hr Worksite: Leading music streaming company (New York City, NYC 10020 or Washington, DC 20002) W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL 40 hours/week, 6 Month Assignment, Possible extension A leading music streaming company seeks a Senior Data Science and Machine Learning Manager to support marketing analytics. The successful candidate will build machine learning models, perform feature engineering to contribute to our feature store, lead dashboard development, and lead development of enhanced visualization tools. Senior Data Scientist - Machine Learning Responsibilities: Build advanced machine learning models to inform marketing tactics (examples: adaptive clustering, reinforcement learning, regression modeling, price elasticity modeling etc.). Execute sophisticated quantitative analyses and descriptive modeling to answer key business questions to shape business strategy. Use enhanced python based graphical visualizations to deliver key insights to leadership. Research and implement novel modeling techniques to solve complex business problems. Develop analytics databases & lead development and maintenance of automated dashboards for AB experiment results. Develop complex SQL queries combining data from a wide variety of sources in preparation of feature engineering or to perform analysis of business questions. Measure the incrementality of paid media campaigns using matched market testing. Be an individual contributor within a team (3-4 people), focused on research, development, and implementation of machine learning algorithms to support various business initiatives. Senior Data Scientist - Machine Learning Qualifications: 7+ years of experience in a related field. Bachelor's or Master's degree in data science, computer science, statistics, engineering, or a related quantitative field. Strong prior experience in data science, business & statistical analytics. Strong background in SQL & Python, R is a plus. Experience in machine learning algorithms and libraries. Examples: CausalML/EconML, TensorFlow, PyTorch, Keras, sk-learn, seaborn, LSTM, RNN. Experience with visualization tools. Familiarity with the Databricks platform is a plus.

Who is Nexxen? Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform ("DSP") and supply-side platform ("SSP"), with the Nexxen Data Platform at its core. Why join the Nexxen team? With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up the Nexxen Way - the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego. Important Notice from Nexxen: Your Safety Matters At Nexxen, we care about the well-being of our current and future employees. We are aware of the growing number of online scams and fraudulent job postings, and we urge all job seekers to remain vigilant. Please be advised that Nexxen will never request payment (whether in cash, cryptocurrency, or any other form) as a condition of employment, offer positions that require you to invest in vague or dubious financial schemes, or promote roles that resemble get-rich-quick opportunities. If you receive a suspicious message claiming to be from Nexxen or encounter a questionable job posting associated with our name, please contact us at ****************** to verify its legitimacy. Your trust is important to us. Stay safe and informed. Nexxen Fraud Alert and Notice: Protect Yourself from Impersonation and Fraudulent Activity What you'll do: We're looking for a self-directed, analytical, and curious Senior Data Scientist with 5+ years of hands-on experience to join our team working on the core optimization and bidding logic of the Nexxen Demand-Side Platform (DSP). You will work on problems at the intersection of machine learning, large-scale data processing, and ad delivery performance. Your work will directly impact how we bid, win, and optimize impressions across real-time programmatic advertising exchanges. This role will be based in the New York office. Our team follows a hybrid schedule, working in the office three days a week and remotely for the rest. Each day can be different here at Nexxen, but some of the things you can expect to be doing daily are: * Design, implement, evaluate and help deploy machine learning models for bidding, pacing and KPI prediction (Click, Action, Viewability etc.). * Analyze large-scale behavioral and performance data using Spark (Scala/PySpark), SQL, and Python. * Deep dive into complex, legacy codebases; you should be comfortable navigating and improving existing systems. * Collaborate with product managers, engineers, and other data scientists to define problems and deliver end-to-end solutions. * Write clear, concise technical documentation and communicate insights effectively across both technical and non-technical stakeholders. What You'll Bring: * Masters/Ph.D. in a quantitative field such as Operations Research, Mathematics, Statistics, Industrial Engineering, Mechanical Engineering, Physics, or related field. * 5+ years of experience in a data science or applied machine learning role, ideally in a high-scale, real-time environment in AdTech/MarTech * Proficient with applied machine learning techniques (classification, regression, evaluation metrics, etc.), especially tree-based models like XGBoost. * Comfortable navigating large, complex legacy codebases and proposing changes to production systems. * Strong programming skills in Python, and SQL. * Experience with Scala/Apache Spark for distributed data processing and machine learning at scale. * Familiar with Deep Learning using frameworks such as PyTorch/Tensorflow. * Strong written and verbal communication skills - able to synthesize technical findings into clear, actionable insights. * Self-directed, curious, and able to thrive in a fast-paced and evolving industry. At Nexxen, we value our differences, varied experiences, and collective contribution. We know that not everyone takes the same career path, so if you don't match this job description perfectly, don't worry! We would rather see your application than risk missing out on your potential to make an impact. In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is $160,000 - $210,000 at the time of posting. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have. #LI-KN1 #LI-Hybrid For information about how we handle your personal information please view our Applicant and Candidate Privacy Notice

Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators. The Ads Data Platform team is seeking a senior-level data scientist to help build our ad measurement products. You will support the building of our experimentation platform and related measurement solutions for advertisers, allowing them to optimize their campaigns on Spotify. You will work alongside product managers, engineers, and product marketers, leading the development of our measurement offerings from a data science perspective. As part of the Advertising team, you'll work on the latest advertising technologies to connect millions of brands to billions of fans. We're paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Join us and help build the product solutions that empower this! What You'll Do * Partner with product and engineering to understand audience product problems and propose data-driven solutions. * Deliver solutions to challenging, large-scale problems with complexity and ambiguity independently * Write code (Python, R, SQL, etc.) to obtain, manipulate, and analyze large datasets * Communicate data-driven insights and recommendations to key partners * Work closely with a cross-functional team of product owners, product marketers, and engineers * Prioritize business solutions, regardless of product area Who You Are * You have 5+ years of experience in a similar data science role and a degree in a quantitative subject area * You are comfortable building and maintaining large, complex datasets * You have the technical competence to perform advanced analytics and data extraction (using SQL, and Python or R) * You can explain complex concepts to non-technical stakeholders and conduct nuanced discussions with engineers * Deep knowledge of statistical inference, preferably including experience with Bayesian methods * You have experience in experimental design / causal inference * You have experience taking a project idea and bringing it to life through self-driven scoping, planning, and stakeholder communication * Ad tech experience is a plus Where You'll Be * We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location. * This team operates within the U.S. Eastern time zone for collaboration. The United States base range for this position is $143,023.00- 204,319.00, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Noom is on a mission to help people live better, longer. We're a consumer-led digital health company, connecting people to content, coaching, community, and clinicians, to build lasting habits and live healthier lives. We're a high-growth organization powered by science, technology, and world-class talent. When you join Noom, on any team, you'll see the impact of your work on the world. Our Marketing Team Noom's Marketing team is committed to driving growth through strategic, data-driven campaigns that connect people to our life-changing products. Within Marketing, our Growth Marketing team plays a critical role in acquiring new users and optimizing the performance of our marketing investments across channels. About the Role As we continue to grow, we're seeking a Senior Marketing Data Scientist to optimize marketing effectiveness, forecast the impact of ad spend, and enhance our attribution models. This role is ideal for someone with a strong background in statistics and machine learning, particularly within marketing analytics and forecasting. You Will Develop and improve Multi-Touch Attribution (MTA) models in collaboration with marketing channel managers and external vendors Build and refine Marketing Mix Models (MMM) to assess the contribution of various marketing channels to business outcomes Forecast the impact of marketing spend on customer signups across multiple product lines Analyze data and extract actionable insights, offering recommendations to both marketing and finance stakeholders Apply advanced statistical methods, including Bayesian modeling and pattern recognition, to improve forecasting accuracy Collaborate closely with the finance team on forecasting and projections to ensure model consistency and enhanced methodologies Work with large datasets using Python, SQL, and tools like Pandas and NumPy to derive insights About You If you're interested in shaping the future of health by advancing data-driven marketing strategies, this role may be for you! You Have 5-7+ years of experience in marketing analytics or data science, ideally in a B2C environment Strong proficiency in Python and SQL, with practical experience using Pandas, NumPy, and Jupyter Notebook Familiarity with documentation and development tools like Confluence, GitHub (including PRs), and Notion Deep understanding of machine learning and statistical methods for marketing analytics Expertise in Bayesian modeling and pattern recognition for forecasting and attribution Proven success in building and refining MTA and MMM models Experience collaborating cross-functionally with marketing, finance, and external vendors Background in statistics, econometrics, mathematics, data science, or a related field What Makes This Job Amazing High-impact role that directly influences marketing strategy and business outcomes Collaborative, mission-driven team focused on whole-person health Access to large-scale data and the opportunity to solve complex, meaningful problems Opportunity to work at the intersection of data science and marketing innovation Base Salary The US base salary range for this full-time position is $160,000 - $216,000. The range displayed on each job posting is based on Noom's estimate as of the date of publication and reflects the minimum and maximum target for the position for US-based candidates. The actual placement of the candidate within the range is based on factors including (but not limited to) relevant experience and training, assessment of functional skills and behavioral competencies, role scope, and location. This range is not inclusive of any discretionary bonus or equity package. Other Elements of the Rewards Package Noom offers a comprehensive and generous total rewards package. This generally includes a discretionary performance-based bonus, stock awards, healthcare, disability & retirement benefits, paid holidays and paid leave, and various wellness programs, etc. Location This position is a hybrid role, with 2 days a week on-site required in our New York, NY office More About Noom Noom is a leading whole-person health platform on a mission to help people live better, longer. We combine personalized medication with the science of behavior change and psychology, to help people build lasting habits and live longer, healthier lives. With nationally-recognized, holistic programs spanning weight, diabetes prevention, GLP-1 support, menopause, longevity, and more, we serve millions through health plans, employers, and direct-to-consumer offerings. As a trailblazer in the world of health and wellness, Noom makes healthy living easy, fun, and deeply rewarding. Join us in shaping the future of health. Whether you're remote or in-office, you'll be part of a passionate, mission-driven team working to make the world a healthier place-one habit at a time. Noom is proud to be an Equal Opportunity Employer, and all applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, caste, national origin, physical or mental disability, protected veteran status, age, or any other characteristic protected by applicable law. Noom is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities. To help protect against potential hiring scams, please be aware that all email communications from the Noom Talent team and/or hiring managers will come only from ************ email address. Noom will never ask you for personal payment, require you to purchase equipment, or extend a job offer without the completion of a multi-step interview process featuring a combination of phone, Zoom, and in-person interviews, and references. If you are unsure about the validity of a Noom job posting on another website, we strongly encourage you to instead apply directly through our website.

:" Our roster has an opening with your name on it FanDuel is looking for a Senior Data Scientist who specializes in personalization, recommendation systems, and search/ranking models to join our team. In this role you will develop and implement advanced models focused on enhancing customer experiences and deepening our understanding of user behavior across marketing, product, and analytics. A strong background in personalization methods, ranking algorithms, and applied machine learning is highly valued. This role requires the ability to take ownership of open-ended, ambiguous problems, evaluate multiple approaches, and deliver production-ready solutions that directly impact the customer journey. THE GAME PLAN Everyone on our team has a part to play * Develop and deploy machine learning models to drive personalized recommendations and user experiences across business units * Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions * Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer * Lead projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making * Oversee the integration and deployment of cross-functional and cross-organizational projects, developing process improvements and technical leadership * Stay up to date on the latest advancements in data science and leverage cutting edge technology * Mentor, brainstorm with, and enable others within the DS team and broader Data organization THE STATS What we're looking for in our next teammate * Bachelor's degree needed in a highly numerate major (Computer Science, Math, Stats, Econ, etc.); MS degree preferred * 5+ years of experience in Data Science creating and deploying models * Hands on experience working in personalization and recommendation systems, with strong understanding of the technical elements required to build and maintain advanced ranking models * Experience in experimentation to validate models' impact and ability to quantify that impact * Experience using user behavioral, promotional and marketing data in model building * Proficiency in SQL and Python * Experience with tech stacks such as MLFlow, Spark, and Databricks * Strong engineering skills: able to write production-level code, design scalable ML pipelines, and work closely with engineering teams on deployment * Comfortable with ambiguity and complexity * Interest in Sports and/or Sports Gaming preferred * Background in search/ranking models, with experience building production-facing search ranking or recommendation products 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). 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: FanDuel Total Rewards. *Benefits differ across location, role, and level. FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or another other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. The applicable salary range for this position is $149,000 - $186,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws. #LI-Hybrid "}

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

At Compass, our mission is to help everyone find their place in the world. Founded in 2012, we're revolutionizing the real estate industry with our end-to-end platform that empowers residential real estate agents to deliver exceptional service to seller and buyer clients. About the Role: We are seeking a highly skilled and motivated Senior Data Scientist to join our data science team. In this role, you will leverage your deep expertise in machine learning, statistical modeling, and data analysis to solve complex problems and drive strategic decisions across the organization. You will work closely with business stakeholders and engineers to uncover insights and develop cutting-edge data-driven solutions that directly influence strategic planning, resource allocation, and product development. Responsibilities: Design and execute rigorous data-driven research to analyze the impact of various factors on business outcomes. Develop, validate, and deploy advanced Machine Learning models to predict market trends and inform strategic business decisions Collaborate with business stakeholders to define key questions, translate them into analytical problems, and deliver actionable insights. Communicate complex methodologies and findings clearly to technical and non-technical audiences. Stay abreast of industry best practices and state-of-the-art methodology in data science. Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, Economics, or a related quantitative field. 5+ years of experience in data science with a proven track record of delivering successful, end-to-end data science projects. Deep expertise in a key data science domain (e.g., classification, prediction, NLP) Practical experience applying a range of data science methodologies (e.g., causal inference, time series analysis, advanced machine learning techniques). Strong proficiency in Python (e.g., pandas, scikit-learn, statsmodels, causal inference libraries). Expert-level SQL and experience with large datasets and distributed computing frameworks (e.g., Spark, Hadoop). Strong adherence to clean code principles and engineering best practices. Proven ability to translate complex analytical findings into actionable business insights for diverse audiences. Exceptional communication and collaboration skills, with a proven ability to work effectively in a fast-paced, cross-functional environment. Experience in the Real Estate industry or other market-driven domains is a plus. Compensation: The base pay range for this position is $120,000-$170,000 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met. Perks that You Need to Know About: Participation in our incentive programs (which may include eligible cash, equity, or commissions). Plus paid vacation, holidays, sick time, parental leave, and recharge leave; medical, tele-health, dental and vision benefits; 401(k) plan; flexible spending accounts (FSAs); commuter program; life and disability insurance; Maven (a support system for new parents); Carrot (fertility benefits); UrbanSitter (caregiver referral network); Employee Assistance Program; and pet insurance. Do your best work, be your authentic self. At Compass, we believe that everyone deserves to find their place in the world - a place where they feel like they belong, where they can be their authentic selves, where they can thrive. Our collaborative, energetic culture is grounded in our Compass Entrepreneurship Principles and our commitment to diversity, equity, inclusion, growth and mobility. As an equal opportunity employer, we offer competitive compensation packages, robust benefits and professional growth opportunities aimed at helping to improve our employees' lives and careers. Notice for California Applicants Los Angeles County Fair Chance Notice

Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: $10 billion+ generated by creators since Patreon's inception 100 million+ free memberships for fans who may not be ready to pay just yet, and 25 million+ paid memberships on Patreon today. 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 to support our mission. This role is based in New York or San Francisco and open to those who are able to be in-office 2 days per week on a hybrid work model. About the Role You'll work in lock step with your cross-functional team to build product features that help creators improve their membership monetization. You'll conduct quantitative research to inform product strategy and opportunities, design metrics to help track goals and make decisions, devise learning methods (including experiments) to test hypotheses, and work closely with our machine learning and data engineering teams on building MVP user-facing data products. You'll translate data into actionable insights and communicate your technical work to the data team, your cross-functional partners, executive leadership, and the rest of the company. You'll be a cultural and technical leader on the data science team. About You Bachelor's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. You have a wealth of experience helping product teams make great decisions with data. You are an experimentation expert and possess a very strong statistical inference skillset. You have solid analytical thinking. You ask the right questions and strive to see beyond the numbers to understand what an analysis represents in terms of real-world applications. You have experience making tradeoffs between speed and accuracy. You are a SQL expert and have experience in Python or R to perform statistical analyses. You have a track record of building strong relationships with product, engineering, research, and design teammates. You have a growth mindset and aspire to continuously improve your soft and technical skills. You are an expert communicator with a love for clarity and simplicity. About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: Put Creators First | They're the reason we're here. When creators win, we win. Build with Craft | We sign our name to every deliverable, just like the creators we serve. Make it Happen | We don't quit. We learn and deliver. Win Together | We grow as individuals. We win as a team. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you're excited about a role but your past experience doesn't match with every bullet point outlined above, we strongly encourage you to apply anyway. If you're a creator at heart, are energized by our mission, and share our company values, we'd love to hear from you. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accomodations@patreon. Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office two days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role's job family. The final offer will be based on candidate's experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon's leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.

Aircall is the world's leading integrated customer communications and intelligence platform for growing businesses. Trusted by over 20,000 companies worldwide, Aircall unifies voice and digital channels into one seamless platform, offering one-click integrations with leading CRMs and over 100 business tools. With real-time, AI-powered insights and feedback, AI agents, and automation, we help sales and support teams save time on routine tasks, uncover opportunities, and deliver exceptional customer experiences. With a global team of 600+ across nine offices, Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, Mexico City, Aircall is transforming how businesses connect with their customers, driving smarter conversations, deeper relationships, and measurable success. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in About the team Our Data team is the backbone of Aircall's decision-making process, driving product development and business growth with cutting-edge data products, tools, and actionable insights About the role As a Senior Data Analyst, you will provide invaluable insights to our product and business teams, working closely with our product and engineering leaders. You'll support impactful initiatives including pricing, packaging, multi-product strategies and self-service approaches. You will collaborate cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data needs into powerful solutions. You'll also establish best practices in analytics and mentor team members, ensuring high standards in data governance and insight generation.Your mission @ Aircall: Partner with product and business leaders to define the analytics roadmap and deliver key projects in customer acquisition, engagement, and retention Provide actionable insights and compelling narratives to influence major decisions at the C-level Build a culture of experimentation by designing and executing rigorous A/B tests to measure business impact Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality A little more about you: 5+ years of hands-on technical experience in a high growth environment Proficiency in SQL for deriving insights Proficiency in Python Data-driven, structured and solution oriented with extensive experience in building rigorous experiments Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels You have an insatiable curiosity and are biased toward action $115,000 - $160,000 a year This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience. Aircall is constantly moving forward. We're building new roads to complete our journey, and we're taking people with us who have the same builder mentality. Let's grow together: Aircall is a place for those who dare to be bold and seek responsibility, excellence, and the opportunity to push themselves to new heights. We're creating a place where great people trust one another and thrive together. People flourish at Aircall and now is the time to be part of the team and the journey we're on. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆 ♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💵 Competitive salary package & equity🏨 Medical, dental, and vision insurance is 100% covered📈 401k plan with company matching!✈️ Unlimited PTO - take the time you need to come to work feeling great!⭐️ Wellness, internet, and childcare reimbursements💚 Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU Built In - Best Places to Work (2022, 2023, 2024) Continually ranked across multiple national and regional categories. DataBird Journal - Workplace Diversity & Inclusion Awards #1 Best Companies for Diversity in 2019 & 2020 #4 (2019) → #1 (2020) Best Companies for Women Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!. This role is a two days a week in office, hybrid role that can sit in either our San Francisco office or our New York City office (Opening January 2026!) About the Role Data Science plays a crucial role in driving impact at Taskrabbit. As a member of the team, you will help drive our business strategy forward through predictive insights. We are seeking a highly skilled and motivated Senior Data Scientist to join us, working closely with cross-functional teams from product, engineering, marketing and operations to provide data-driven insights and solutions that enhance our products and accelerate growth. What you will work on Be a strategic thought partner with stakeholders from product, marketing, and operations to define high-impact analytical problems, and solve them using different analytical and statistical approaches. Present actionable insights in a clear and compelling manner. Proactively perform analytical deep dives to identify strategic growth opportunities in key business levers, e.g. customer/partner acquisition, retention, conversion, etc. Collaborate with stakeholders to define and measure success metrics for new features and products, conduct advanced experimentation and causal inference to optimize product features and user experiences Foster a data-driven culture within the organization by advocating for best practices in data analysis and interpretation. Who you are BS, MS or Ph.D. in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research, or related field). A minimum of 5 years industry experience in data science; previous experience in a marketplace business is a plus Experience with advanced experimentation and statistical modeling Excellent analytical and problem-solving skills. Excellent business acumen and strategic thinking skills Advanced in SQL, experienced in Python, and familiar with data pipeline tooling (e.g. dbt) and git. A self-starter with the ability to work independently and drive your own projects end-to-end with a track record of landing strong business impact Ability to communicate complex data findings in a clear and concise manner. Compensation & Benefits At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $115,000 - $160,000. This range is representative of base pay only and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You'll love working here because: Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection. The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with! The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. The Perks. Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees. We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. Benefits vary by country of employment. Taskrabbit's commitment to Diversity and Inclusion: An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our anti-racist culture actively strengthens the knowledge, understanding, and awareness of underrepresented experiences and our ongoing allyship commitment. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

David Energy is creating a new kind of power company. Traditional Retail Electricity Providers (REPs) are outdated, opaque, and painful for customers to engage with. We use software to monitor our customers' real-time energy usage, and we aggregate and analyze that data to maximize the value they get from their energy assets - batteries, EVs, HVAC systems and other distributed energy resources (DERs) via participation in energy markets. Our mission is to run the grid on clean energy 24/7. We are looking for a senior data scientist to own analyses and data analytics around our growing network of energy assets in concert with real-time energy markets. By shifting the energy usage of our customers to align with the cheapest and cleanest wholesale energy available, we can offer dramatically lower rates with much cleaner energy. Making those decisions automatically at scale requires excellent data science. In this role, you will Solve complex business problems (e.g., cost allocation, error detection, data imputation) to deliver insights that advance business initiatives Own and evolve our data ecosystem (Snowflake + dbt) and ensure data is accurate and well-structured Work with cross-functional teams to identify data needs, define metrics, and establish reporting frameworks Contribute to the strategic planning process by presenting findings and recommendations to stakeholders across the company Identify opportunities for process improvements and lead initiatives to increase operational accuracy and efficiency Design and establish a company culture of rigorous, data-informed decision making We invite you to apply for this role if you have Clear communication skills with people at all levels of technical ability 5+ years of work experience delivering data analytics and analyses with demonstrated impact Fluency in SQL Ability to deliver in an early-stage startup environment (e.g., proactive ownership, independence in uncertainty) You could be an especially great fit if you have Bachelor's in a quantitative field (e.g., physics, statistics, mathematics, economics) Experience with dbt Experience with Python Experience in energy trading, grid operations, or deregulated energy markets (namely, ERCOT, ISO-NE, NYISO, or PJM) Benefits: $160,000 plus equity, depending on experience Group medical and dental insurance Flexible vacation/PTO policy 401(k) plan Hybrid office culture, with team members remote and working from our offices in New York City

MSIG USA continues to grow! MSIG USA is the US-based subsidiary of MS&AD Insurance Group Holdings, Inc., one of the world's top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350-year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business's unique risks. Summary/Job Purpose: Data and analytics are at the heart of decision making at MSIG USA - a data-driven specialty insurance provider in the US. We are seeking a highly analytical and innovative Insurance Data Scientist to join our Insurance Analytics team to help drive profitable growth in new and existing markets. This role involves designing and implementing advanced algorithms to extract actionable insights from large and complex datasets, applying statistical and machine learning techniques to solve business problems, and collaborating across departments (Pricing, Underwriting, Claims, Actuarial, etc.) to enhance decision-making. The ideal candidate will possess balanced tactical and strategic thinking, problem-solving skills, and the ability to communicate technical findings to non-technical stakeholders. A passion for data-driven decision making in the insurance domain is essential. Essential Functions: Perform ad-hoc and recurring analyses across all insurance business units (e.g., pricing, underwriting, claims, operations, etc.) and lines of business. Extract insights from structured and unstructured data sources, including text. Develop end-to-end data science and analytics solutions (for all business units), including data preparation, model development, testing, documentation, implementation, monitoring, and iteration. Identify required technology and tools to support analysis and solutions, collaborating with other teams to implement these tools. Develop and implement data pipelines to support analytical needs and tools. Augement existing datasets with derived data and external information. Design visualizations and dashboards to support insight sharing and enable real-time performance monitoring. Implement these solutions utilizing dashboarding tools and custom web applications. Collaborate cross-functionally with IT, Data, Claims, Underwriting, Actuarial, Finance, and Leadership to identify and solve high-impact problems. Work with these stakeholders to define the data science and analytics needs and become a trusted business partner by delivering on these requirements. Contribute to the prioritization and roadmapping of data and analytics initiatives. Communicate findings effectively to both technical and non-technical audiences. Continuously seek opportunities to learn new skills and techniques, and actively share knowledge with peers. Qualifications: To perform this job successfully, an individual must be able to perform each essential duty. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Technical - Solid statistical, machine learning and data science skills, utilizing a variety of tools Tactical thinking - Ability to execute on short-term business needs Strategic thinking - Ability to visualize long-range solutions to business goals Innovation - Displays original thinking and creativity Problem Solving - Identifies root causes and resolves problems in a timely manner Teamwork - Balances team and individual responsibilities Judgment - Makes timely and sound decisions Planning/Organizing - Prioritizes and plans work activities Quality - Demonstrates and enforces accuracy and thoroughness Initiative - Volunteers readily; Undertakes self-development activities; Seeks increased responsibilities Education and Experience Required: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field Minimum of 5 years of relevant experience in data science and analytics, including machine learning Strong proficiency in Python or R for statistical analysis, model development, and application deployment Experience setting up and using various different data science tools (e.g. Airflow, Jupyter Notebooks, H20, Spark, etc.) Experience with dashboarding tools (e.g. Tableau, Power BI, etc.) Advanced SQL skills for data extraction, transformation, and manipulation Proven track record of end-to-end development of machine learning models Experience with data visualization tools such as Tableau or Power BI Excellent problem-solving and critical thinking abilities Strong communication skills with the ability to convey technical concepts to non-technical stakeholders Preferred Qualifications Experience in data science and analytics for commercial insurance, across all ines of business Experience using a range of different coding languages Experience working with unstructured data, including text, images, and video Familiarity with cloud computing platforms such as AWS or Azure It's an exciting time for our company and a great opportunity to join a financially sound and growing global insurance group! It is the policy of MSIG USA to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, MSIG USA will provide reasonable accommodations for qualified individuals with disabilities.