Senior data scientist jobs in New Brunswick, NJ

About The Role & Team Join Disney's Direct to Consumer Experimentation and Causal Inference Data Science team as a Sr Data Scientist, where you'll transform complex data into strategic business decisions that shape the future of streaming entertainment. Collaborating closely with cross-functional partners across the Business, you'll architect and execute sophisticated experiments that optimize every aspect of the subscriber journey-from initial acquisition through long-term retention and revenue growth. As part of Disney's rapidly evolving streaming ecosystem, you'll tackle complex business challenges that directly impact millions of subscribers across Disney+, Hulu, and ESPN. Your insights will shape Product roadmaps, pricing strategies, and user experience optimizations that drive measurable business growth. What You'll Do + **Design and Execute Experiments** : Lead end-to-end A/B testing initiatives and Geo Experiments, from hypothesis formation and experimental design to statistical analysis and business recommendations + **Apply Causal Inference Methods** : Leverage advanced techniques including difference-in-differences, instrumental variables, propensity score analysis, and other quasi-experimental designs to extract actionable insights from observational data + **Build Scalable Solutions** : Develop experimentation and causal inference tools and frameworks that can scale across Disney's businesses + **Deliver Strategic Insights** : Partner with stakeholders to identify optimization opportunities and translate complex analytical findings into clear business recommendations + **Influence Executive Decisions** : Present findings and recommendations to senior leadership, effectively communicating statistical concepts to non-technical stakeholders Qualifications + Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a related field. + 5+ years of experience conducting strategic analyses and communicating insights to drive decision-making. + Expertise in Python, R, or similar languages, including experience building software packages for statistical analysis. + Expertise in SQL. + Proficient in analyzing data and developing ML models using Python (with ML frameworks like LGBM, scikit-learn, etc.). + Strong background in statistical modeling: regression, classification, time series forecasting, causal inference, and other techniques. + Demonstrated ability to translate complex data into clear and actionable narratives, and the ability to communicate opportunities and challenges to multiple stakeholders. + Robust knowledge of causal inference approaches such as propensity scores, synthetic controls, difference-in-differences, doubly robust methods, meta learners, and uplift modeling. + Deep understanding of assumptions required for causal inferences, including the foundational statistical concepts that underpin the approaches. + Proven ability to manage end-to-end experimentation and causal inference analyses, from initial requirements to impactful outcomes. Desired Qualifications + Masters or PhD in quantitative field with an emphasis on experimentation or causal inference. + Experience applying strategic thinking to analyze market trends and consumer insights, with preference for candidates who have worked with subscription-based business models. + Ability to adapt quickly in a fast-moving environment with shifting priorities. + Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, and Github. The hiring range for this position in Santa Monica, CA is $141,900 to $190,300 per year, in San Francisco, CA is $155,400 to $208,400 and in New York City, NY is $148,700 to $199,400. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. **Job ID:** 10136962 **Location:** New York,New York **Job Posting Company:** Disney Direct to Consumer The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

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.

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 $200,000 - $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 ********************.

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.

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.

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.

At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO As our customer base continues to grow with the excitement around BrazeAI, we're expanding our team! Join our Field Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will: Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms Contribute to shaping OfferFit's product strategy and roadmap through customer-facing insights and technical expertise Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success WHO YOU ARE Education: Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master's or PhD in a relevant technical discipline preferred Experience: 3-5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $145,800 - $217,8000/year with an expected On Target Earnings (OTE) between $162,000 - $242,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News & World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you . We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you. Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.

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.

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

About Summit: Summit Therapeutics Inc. is a biopharmaceutical oncology company with a mission focused on improving quality of life, increasing potential duration of life, and resolving serious unmet medical needs. At Summit, we believe in building a team of world class professionals who are passionate about this mission, and it is our people who drive this mission to reality. Summit s core values include integrity, passion for excellence, purposeful urgency, collaboration, and our commitment to people. Our employees are truly the heart and soul of our culture, and they are invaluable in shaping our journey toward excellence. Summit s team is inspired to touch and help change lives through Summit s clinical studies in the field of oncology. Summit has multiple global Phase 3 clinical studies, including: Non-small Cell Lung Cancer (NSCLC) HARMONi: Phase 3 clinical study which was intended to evaluate ivonescimab combined with chemotherapy compared to placebo plus chemotherapy in patients with EGFR-mutated, locally advanced or metastatic non-squamous NSCLC who were previously treated with a 3rd generation EGFR TKI. HARMONi-3: Phase 3 clinical study which is intended to evaluate ivonescimab combined with chemotherapy compared to pembrolizumab combined with chemotherapy in patients with first-line metastatic NSCLC. HARMONi-7: Phase 3 clinical study which is intended to evaluate ivonescimab monotherapy compared to pembrolizumab monotherapy in patients with first-line metastatic NSCLC. Colorectal Cancer (CRC) HARMONi-GI3: Phase 3 clinical study intended to evaluate ivonescimab in combination with chemotherapy compared with bevacizumab plus chemotherapy. Ivonescimab is an investigational therapy not presently approved by any regulatory authority other than China s National Medical Products Administration (NMPA). Summit is headquartered in Miami, Florida, and has additional offices in California, New Jersey, the UK, and Ireland. Overview of Role: The Senior Manager, Data Scientist role is part of the Commercial Operations team supporting the U.S. Business Unit which includes, but is not limited to, Sales, Marketing, and Market Access. This team enables key business functions and strategic initiatives through data integration, reporting, and advanced analytics. This position provides a unique opportunity for broad exposure across the U.S. commercial organization by contributing to the development of advanced analytics solutions. A core focus of the role will involve executing analytics on a variety of data sources including patient claims, EDI shipment data, and unstructured datasets as well as supporting future machine learning initiatives. Role and Responsibilities: Design and implement advanced analytical models (e.g., predictive modeling, segmentation, optimization, machine learning) using diverse datasets such as claims, outlet-level sales data, EDI, hub data, real-world data (RWD), specialty pharmacy/distributor data, EMR, and internal commercial datasets. Develop and validate algorithms to identify patient journeys, adherence patterns, and treatment pathways. Contribute to an evolving data science practice, including problem framing, data exploration and preparation, data integration, machine learning model development, and production. Create scoring frameworks (e.g., HCP opportunity models, payer access risk scores, patient conversion likelihood). Build statistical and machine learning models for both proof-of-concept and production environments using Python, R, and SQL. Partner with stakeholders across the U.S. commercial teams to translate business needs into data-driven and machine learning solutions. Communicate advantages, limitations, and implications of analytical approaches to non-technical audiences. Share technical insights and solutions through design reviews, pair programming, code/model reviews, and team knowledge-sharing sessions. Conduct exploratory analysis of new datasets, generate descriptive statistics, identify trends and insights, and propose data engineering opportunities for integration. Utilize one or more commercial or open-source analysis platforms daily (e.g., Jupyter Notebook, RStudio, Posit, Microsoft Azure, Neo4j). All other duties as assigned. Experience, Education and Specialized Knowledge and Skills: Experience in biotech, pharmaceuticals, or life sciences required Bachelor s degree in Data Science, Computer Science, Mathematics, or a related field required; advanced degree preferred. Minimum 5+ years of relevant experience with a bachelor s degree, or 3+ years with a master s degree, contributing to or executing data science projects. Industry experience in customer behavior prediction, customer journey analytics, marketing analytics, or social network analysis is preferred. Demonstrated proficiency in Python and/or R. Strong SQL skills with hands-on experience working with relational databases; experience with graph databases and Cypher is a plus. Familiarity with machine learning and statistical modeling techniques Strong communication and cross-functional collaboration skills Experience developing solutions using text analytics, customer journey analytics, marketing analytics, or recommendation engines. Proven ability to explain statistical and machine learning concepts to business stakeholders in clear and meaningful terms. Knowledge of statistical and data mining techniques such as hierarchical clustering, network analysis, regression, random forests, text mining, NLP, and data visualization. The pay range for this role is $153,000-$180,000 annually. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include bonus, stock, benefits and/or other applicable variable compensation. Summit does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact Summit s Talent Acquisition team at ********************* to obtain prior written authorization before referring any candidates to Summit.

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 lines 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 Why Join MSIG USA? At MSIG USA, strength comes from experience - and vision. Backed by a 350-year global legacy, we are forging a path forward in specialty insurance with the same stability and discipline that define our foundation. We are focused on innovation that matters: data-driven, client-focused, and built for long-term impact. You'll join a company that values performance, integrity, and purposeful growth. Your role here is more than a job - it's a commitment to delivering excellence alongside a high-performing, collaborative team. Competitive Compensation Package includes: Competitive salary commensurate with experience along with a performance-based bonus. SALARY: The estimated salary range for this position is $165,000 to $180,000 per year. This is a good-faith assessment of the salary range for this position only. In determining the actual salary within this range, MSIG USA will consider a candidate's relevant experience, location, and other job-related factors. Additional Benefits: Healthcare and Retirement Benefits Comprehensive medical, dental, and vision coverage 401(k) with a generous employer match and profit-sharing contribution Wellness incentive program Life and accidental death and dismemberment (AD&D) insurance Flexible spending programs Short-term and long-term disability plans Additional Benefit Programs Paid time off program Paid charitable leave Paid parental leave Tuition reimbursement program Personal insurance (auto/homeowners) discounts 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.

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 and a Built In - Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. 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 $145,000 - $180,000. 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.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at ******************* Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New Jersey, United States of America Job Description: We are searching for the best talent for Senior Data Scientist, Accounting and ERP to be in New Brunswick, NJ. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at *******************/innovative-medicine Purpose: As a Senior Data Scientist in Global Finance Data Science Team, you will be responsible for delivering data science production processes to a high standard, contributing to products that are consumed and scrutinized by senior leadership. You will work in a global team of Data Scientists, Data Engineers and Machine Learning Engineers to advance data science/AI roadmap for J&J's Global Finance function. You will help deliver value-added insights and analytics to our finance and business leaders, reduce manual workload through automation, and enhance user-experience. Project focus areas will include the application of Machine Learning and Generative AI to technical accounting use cases, and using data from SAP Hana, Datahub and Datasphere. This includes aligning finance and business needs, input data validations from different source systems, data reconciliation/validations and work on other ongoing enhancements/ad-hoc requests from leadership etc. You will aid data science projects across their lifecycle: Design/ proof-of-concept (PoC), development, data pipelines and engineering, deployment, adoption by end-users and ongoing enhancements. The capabilities developed will include predictive, Gen AI, descriptive analytics, data visualization and decision support. You will need to ensure that PoC's are put into production-grade with correct amount of automation, data validations and systems/process integration. This role will involve understanding the needs of business stakeholders and advocating the merits of data-driven analytics to provide viable solutions. You will be responsible for: Develop data science solutions based on the needs of business/ finance stakeholders. Build and adjust data engineering pipelines for large datasets from finance/ERP systems and automate data science processes. Understanding the nuances of accounting and finance data so this can be appropriately applied in Machine Learning and AI models. Iteratively improve the process and models to solve problems, testing and documenting changes, aligning changes within the team. Develop and deploy data science and AI solutions, including data processing, algorithm development, data visualization, and communication of insights to stakeholders. Research and implement statistical and machine learning models, monitor model performance, and continuously improve existing models. Collaborate with finance, commercial leaders, technology teams, and external partners to deliver end-to- end solutions, ensuring compliance and risk management. Experienced using accounting data within SAP data tables, understanding the contents of tables and how they are used within the accounting process. Knowledge of Python programming and Data Science Cloud platforms like AWS, Databricks, and Domino. Able to work independently and under time pressure to deliver a process, investigating and solving data issues in an explainable way. Skilled in data visualization and dashboarding using Tableau or PowerBI. Knowledgeable in advanced statistical techniques and concepts, such as regression, properties of distributions, and statistical tests. Experience of end-to-end production deployment, from concept to production-grade models, and experienced with Gen AI technologies like AWS Bedrock, Azure OpenAI service, and Joule. Familiar with automated workflow tools like Alteryx and workflow orchestration tools like Airflow, as well as standards and best practices for technical documentation using tools like JIRA and Confluence. Strong data analytics skills, attention to detail with business/finance logics, and experience working across multiple levels of stakeholders to create context around key business drivers. Qualifications / Requirements: Minimum of 5 years of Data Science/ AI experience in an industry setting, preferably in a Finance or Healthcare setting. Alternatively: 5+ years accounting experience with intensive use advanced analytics and data handling techniques. Minimum of Bachelors degree required, within Science, Economics, Business Analytics, Data Science, Finance, Computer Science, Engineering or any other quantitative or STEM discipline. Master's degree in a relevant field preferred. Other: Located in New Brunswick, NJ with up to 5% travel. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via *******************/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource. #JNJDataScience Required Skills: Preferred Skills: The anticipated base pay range for this position is : The anticipated base pay range for this position is $147,000 to $169,050 USD Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. *********************************************

· Mine and translate data into meaningful insights and recommendations for the operational and strategic business units · Answer key business questions by using analytical & statistical techniques on data · Drive the collection of new data sources and the refinement of existing data sources · Analyze, interpret & communicate the results of experiments to the business units · Evaluate and modify statistical methodologies, techniques and processes · Work with cross-functional teams on the day-to-day execution of data & analytics projects and initiatives · Produce dynamic data driven analytic solutions to support the strategic goals of the company · Develop process improvements, analytical frameworks, share expertise with others, mentor and continually strive to improve overall contributions to the department Qualifications · A flexible analytic approach that allows for results at varying levels of precision · Strong background in statistical concepts including regression analysis, factoring, clustering, decision trees, A/B testing and experimental design · Experience with various data types (e.g. Relational, unstructured, Hierarchical, etc.) · The ability to communicate complex quantitative analysis in a clear, precise and actionable manner · Possess excellent verbal and written communication skills, attention to details, and the ability to multi-task · Work independently with minimal supervision · Be detail-oriented and comfortable with a fast-paced, structured, retail environment Additional Information Education/Certification: · A minimum Master's degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics or a related field Required Knowledge: · Expert knowledge of SAS and SQL · Expert knowledge of Advance Machine Learning (Deep learning) and Artificial Intelligence (AI) techniques and applications Experience Required: · 5 - 10 years professional experience in solving analytical problems using quantitative approaches All your information will be kept confidential according to EEO guidelines.

We are all social creatures, but the dominant “social” companies today have evolved into digital loneliness machines, driving isolation, anxiety, and mental health challenges across our lives. Human connection is lost. Posh is a beacon guiding us back. Posh enables anyone to become an event organizer, build a community around their followers, and bring people together in person to cultivate real-world human connections. Founded by event enthusiasts and college dropouts, we've built the ultimate tools for creating, marketing, and monetizing in-person communities globally. In just three years, Posh has grown to a team of 60, expanded to 5M+ users, secured $40m in venture funding, and facilitated over $220M in transactions. We've achieved more than teams ten times our size in a tenth of the time-and there's so much more to come. About The Role We are looking for an experienced Senior Data Scientist to build the foundation of our personalization and recommendation system. In this role, you'll lead the development of our core personalization algorithm. As one of the early data hires at Posh, you'll shape the technical direction of our modeling strategy and set the standards for how data is defined, collected, and transformed across the organization. You'll work across the full ML lifecycle: identifying new data sources, building clean pipelines for model features, model selection/iteration, and evaluating model performance. Your work will directly drive key product experiences, influencing ranking, classification, and personalization at scale. You'll partner closely with Product and Engineering to define feature requirements, ensure proper tracking, and architect model-ready datasets that reflect real user behavior. You'll establish best practices for data quality, governance, and documentation, ensuring our models remain trustworthy and performant as we grow. This role offers a high-growth opportunity as we expand our data capabilities and team. If you're passionate about building from 0 to 1 and making a lasting impact, this is the role for you. This is an in-person position at our New York City office, located in the heart of SoHo. At a high level, you'll be in charge of: Designing and Preparing High-Quality Data for Personalization Models: Own the process of data cleaning, feature selection, and model selection to build a high-performing personalization model. Ensure all inputs into personalization algorithms are reliable, well-structured, and optimized for downstream ML performance. Building and Maintaining Scalable Pipelines for Modeling Data: Develop robust ETL/ELT pipelines that transform raw behavioral, transactional, and catalog data into features for recommendation systems. Continuously iterate to improve data freshness and coverage using SQL and Python. Optimizing Infrastructure to Support ML Personalization at Scale: Enhance data architecture and processing frameworks to support real-time and batch modeling needs. Ensuring Strong Data Governance and Documentation: Implement best practices for data quality, documentation, observability, and lineage across all model-bound datasets. Collaborating with Product and Engineering on Instrumentation & Feature Tracking: Work closely with Engineering to ensure accurate tracking and logging of user actions and product interactions needed for personalization systems. Partner with Product to translate business needs into feature definitions and modeling requirements. Optimizing Classification Models: Develop, refine, and optimize classification models that accurately categorize events. Improve signal quality through feature engineering, tuning, sampling, and continuous iteration to ensure accurate tagging that powers downstream personalization algorithms. Our ideal candidate Possesses 5+ Years of full time Data Experience: Has at least 5 years of hands-on experience in data science or analytics engineering. Demonstrates a strong ability to design, build, and optimize scalable data systems. Expert in SQL and Python: Demonstrates strong proficiency in SQL and Python, with deep experience cleaning data, engineering features, and building efficient, production-ready modeling pipelines. Strong Ability to Analyze and Evaluate Models: Skilled in designing experiments, interpreting model performance, and communicating insights clearly to both technical and non-technical stakeholders. Experience Building Personalization and Recommendation Systems: Has built or contributed to ranking, classification, recommendation, or personalized user experience models in production environments. Proficient with Modern Data and ML Tooling: Experienced working with cloud data platforms and analytics tooling, and familiar with best practices in data modeling, pipeline reliability, and ML optimization. Has a Background in Early Stage Data Team (Required): Exhibits high interest in startups and has experience building the early foundation of a data team at a small tech company. Cloud ML Tools & Consumer Scale (Bonus): Experience with AWS Personalize, SageMaker, or similar cloud ML platforms, and/or working on consumer-facing products operating at scale. Posh provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Posh is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodation due to a disability

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

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.

Title Senior Data Scientist - Insurance Analytics - NJ #2812 Company is seeking a Senior Data Scientist for Insurance Analytics. You will apply your highly developed analytical skills to work on all aspects of the insurance value chain, ranging from pricing models, fraud detection, process triaging, and financial risk models to a variety of other analytics solutions. You will also communicate with customers, external partners and internal departments, and hence will have the opportunity to get to know many carriers, vendors and data sources in the insurance industry. Independently executes data analysis and modeling projects from project/sample design, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and sales support. Utilizes advanced statistical techniques to create high-performing predictive models and creative analyses to address business objectives and client needs. Provides technical sales support, which may include various analyses and the preparation and presentation of analytical results. Tests new statistical analysis methods, software and data sources for continual improvement of quantitative solutions. Creates clear and easy to understand reports and/or PowerPoint decks for client meetings or third party collaborations. Verbally presents analysis ideas, progress and results to internal managers, external partners and customers. Communicates with internal groups on data specifications and with IT engineers on model/algorithm implementation. Follows, and may create, detailed project plans to ensure projects are completed on time and within budget. Provides high quality ongoing customer/partner support; answering questions, resolving problems and building solutions. Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects. Shares knowledge within the analytics group. Graduate-level degree with concentration in a quantitative discipline such as statistics computer science, mathematics, economics, or operations research. Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal groups (data, IT, product and sales) as well as third-party partners and customers (insurance companies). 3+ years of relevant work experience including 1 year of statistical modeling and data mining in a P&C insurance content (insurance company or insurance consulting firm) using large and complex datasets. Experience with personal lines rating plan modeling is a strong plus. Life or health insurance experience is a bonus. Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation. Programming experience with SAS (STAT, macros, EM), R and other statistical software (CART, Emblem, SPSS, Matlab). Greenplum and UNIX experience is a plus. Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills. Excellent organization/planning skills and talent for managing many large and complex datasets. Aptitude in performing multiple tasks and dealing with changing deadline requirements. This includes knowing when to escalate issues. Maintains a focused, flexible, organized, and proactive manner. Proficiency in Microsoft Office (Excel, Word, PowerPoint). Bottom line requirements we need notes on with candidate submittal: 1. Graduate degree with concentration in a quantitative discipline. 2. 3+ years of relevant work experience including 1 year of statistical modeling and data mining in a Property and Casualty insurance context (insurance company or insurance consulting firm). 3. Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation. 4. Programming experience with SAS (STAT, macros, EM), R and other statistical software (CART, Emblem, SPSS, Matlab). Greenplum and UNIX experience is a plus. Additional Information All your information will be kept confidential according to EEO guidelines.

The Risk Management & Compliance Technology Machine Learning team at JPMorgan Chase focuses on solving challenging business problems such as Anti-Money Laundering and Surveillance through data science and machine learning techniques across Risk, Compliance, Conduct and Operational Risk.As an Applied AI ML Senior Associate on the team, you will have the opportunity to study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models for those problems. You will work with the firm's rich data pool from both internal and external sources using Python/Spark via AWS and other systems. You are also expected to derive business insights from technical results and be able to present them to non-technical audience. Job responsibilities Proactively develop understanding of key business problems and processes Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection. Generate structured and meaningful insights from data analysis and modelling exercise and present them in appropriate format according to the audience. Collaborate with other data scientists and machine learning engineers to deployment machine learning solutions. Carry out ad-hoc and periodic analysis as required by the business stakeholder, model risk function, and other groups. Required qualifications, capabilities, and skills At least 2 years of relevant experience post Advanced degree (MS, PHD) in a quantitative field (e.g., Data Science, Computer Science, Applied Mathematics, Statistics, and Econometrics) Practical expertise and work experience with ML projects, both supervised and unsupervised. Proficient programming skills with Python, R, or other equivalent languages, Demonstrated experience working with large and complicated datasets. Experience with broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost. Excellent problem solving, communication (verbal and written), and teamwork skills; Preferred qualifications, capabilities, and skills Experience with graph analytics and neural network (Tensorflow, Keras). Experience working with engineering teams to operationalize machine learning models. Familiarity with the financial services industry.