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

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

Job Description About Overdeck Family Foundation Overdeck Family Foundation (“the Foundation”) was founded in 2011 to provide all children the opportunity to unlock their potential. The Foundation focuses on enhancing education through funding efforts in early childhood, hands-on STEM education, and K-9 programs, supporting both educators and student-centered learning environments. Our grantmaking and strategic support focus on unlocking innovation, evidence, and growth opportunities to accelerate key academic and socioemotional outcomes for all children. At Overdeck Family Foundation, we achieve our impact by collaborating with rigor, fostering a culture of curiosity and learning, and living our core values to drive meaningful change. Visit for more information on our foundation, including our research repository. The Research Fellow Position Overdeck Family Foundation is seeking a Research Fellow to work with the Research & Impact Officer, Meghan McCormick, to support the Foundation’s evidence and research efforts. This role will contribute to activities including evidence reviews for prospective grantees, evidence summaries for funding recommendations, and targeted communication activities such as updating summaries of research funded by the Foundation. The position is ideally suited for advanced doctoral students or post-doctoral researchers in economics, public policy, sociology, applied psychology, or education, particularly those with expertise in econometrics and K-12 education. What You’ll Help Us Do: * Conduct evidence reviews to assess potential grantee organizations against the Foundation’s goals and priorities. * Develop evidence summaries to support funding recommendations and presentations. * Collaborate on updating and maintaining a repository of research studies funded by the Foundation. * Support communications activities by creating clear, concise summaries of research findings. Who You Are: You are outcomes-driven. You are motivated by the Foundation’s mission to open doors for every child in the U.S. by measurably enhancing education both inside and outside the classroom. You bring expertise in quantitative research. You have advanced training in research methodology (ex: experimental and quasi-experimental designs), knowledge of the federal ESSA evidence tiers, and experience conducting independent research. You communicate effectively. Your ability to synthesize and clearly present complex research findings ensures your work drives understanding and decision-making. You are independent and proactive. You excel at managing your tasks and producing high-quality outputs with minimal supervision. You value collaboration. You’re a team player, open to feedback, and eager to work with internal colleagues to enhance the Foundation’s learning and impact. What You’ve Done: * Advanced doctoral coursework or a post-doctoral position in a relevant field. * Expertise in econometrics, quantitative research methods, and K-12 education preferred. * Strong written and verbal communication skills. * Demonstrated ability to work independently and meet project deadlines. Working at Overdeck Family Foundation This fellowship opportunity will span from March to October 2025, with an estimated time commitment of 35-40 hours per month. Overdeck Family Foundation will offer the Research Fellow a competitive monthly retainer of $2,500, totaling $20,000 for the full engagement. The role is fully remote though the Fellow will be welcome to join select meetings with the team in person at the Foundation’s New York City offices based on geographic proximity. The Research Fellow may perform duties as convenient though would be expected to be available to join occasional meetings or check-ins during the Foundation’s core working hours (10 a.m. to 4 p.m. ET). How to Apply Please complete the application form, which includes uploading the following materials: * Resume/CV * Example of Original Research: Submit an original research paper that you have led or co-led. This can be a working paper or a published paper. * Example of a Literature Review: Share a literature review that you have led. This can be either published or unpublished.

Job DescriptionIf you're an upbeat, organized, tech savvy, with a degree in Finance who can successfully multi-task AND you have experience in economics, transportation, or statistical analysis., please apply! You will be an integral member of a multi-disciplinary multi-project team performing qualitative and quantitative research to examine market and industry behavior, . You'll have the opportunity to grow professionally and learn new skills at this position and with CAFCO Group. Responsibilities: Task A – Data Collection & Quantitative Analysis • Utilize publicly available data sources (e.g., Census, USDOT, BLS, FRED) to collect economic, demographic, and transportation data., • Organize and present data in Excel for knowledge transfer and clarity., • Identify trends in economic, demographic, and transportation data to inform analyses such as inflation analysis and remote work trends., • Contextualize results using comparable analyses or data sources., • Develop metrics to highlight trends in transportation and economic issues., • Automate data extraction using programming languages like Python or R.Task B – Research & Reporting, • Conduct qualitative and quantitative research to examine market and industry behavior., • Perform literature reviews and communicate findings effectively., • Monitor and provide commentary on economic releases., • Review and summarize reports to guide project decisions., • Bachelor’s degree in Economics, Finance, Statistics, or a related field (Master’s degree preferred)., • Minimum of 3 years of experience in economics, transportation, or statistical analysis., • Proficiency in Microsoft Excel, PowerPoint, Word, Access, and Power BI., • Experience with analytical tools like R, Python, EViews, or Stata., • Strong knowledge of statistics or econometrics., • Demonstrated ability to work on multiple projects independently and efficiently., • Excellent communication and collaboration skills in individual and team settings.Work Environment, • Hybrid work model with three days per week in-office at the 4 World Trade Center, NYC., • One-year anticipated assignment duration.Additional Requirements, • Candidate must obtain a SWAC I.D. with associated security clearances upon hiring., • Ability to adapt and perform a wide range of tasks in a dynamic environment.

Job DescriptionCompany Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description The role of Omnichannel Analytics Manager within AbbVie is to lead experimental test design & measurement, and development of Omnichannel analytics insights. The ideal candidate has a keen ability to interpret analytics insights and identify opportunities/gaps to inform Omnichannel Marketing strategy. The ideal candidate will also be able to convert insights into actionable recommendations and collaborate with stakeholders to deliver ROI results through exceptional oral and written communication. Primary Responsibilities: • Own Business data/attributes along with data sources and business rules that feed modeling, reporting and measurement., • Articulate business owner needs and support use case ideation and development., • Design experimental testing, measurement plan and appropriate execution plans in partnership with the Digital Lab team and media agency of record., • Conduct testing measurements with established methodologies and deliver statistically significant results including marketing ROI impact., • Establish media KPIs benchmarks and maintain visibility to the correlation between media exposure and patient treatment adoption across marketing tactics (channels, audience, etc.), • Contribute to monthly Omnichannel performance reporting, leveraging media performance measurement and analyses., • Perform digital audience analytics to inform personalized audience strategy and optimize the Omnichannel experience., • Interpret Omnichannel performance and audience insights to identify opportunities to target new patients., • Perform ad-hoc analyses to deep dive drivers behind media and audience performance across paid and owned channels.Qualifications, • Bachelor’s degree required in one of the following fields: Physics, Engineering, Statistics, Econometrics, Actuarial Science, Decision Sciences, Operations Research, Applied Mathematics/Physics, and/or Quantitative Analysis, • Masters’ degree is preferred., • Hands-on experience in coding SQL (BigQuery, Hue, SQL Assistant, etc.), • 5+ years of experience identifying and outlining key metrics and building campaign performance/measurement plans/marketing analytics., • Strong experience in brand marketing and optimization., • Demonstrated experience in Omnichannel marketing and analytics space, such as digital media, search, social, websites, endemic, and familiarity with digital targeting, activation, trafficking, and measurement., • MarTech and big data knowledge is preferred in the digital space (DMP, digital identity solution, data clean room, CDP, etc.), • Knowledge of digital marketing data from various publishers/channels and Adobe clickstream data etc. 3rd party pharmaceutical patients claim data is preferred., • Strong collaboration skills and ability to influence the development and adoption of analytic capabilities., • Strong planning and project management skills., • Ability to distill complex information into concise and impactful stories/presentations., • Exceptional analytical, and problem-solving skills and attention to detail., • High motivation, strong work ethic and positive attitude while working under tight deadlines. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. * This job is eligible to participate in our long-term incentive programs Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job Description Job Title: Machine Learning Engineering Director Qualifications: • Hold a Bachelor's degree in a technical field (e.g., computer science, machine learning, mathematics, physics, statistics, econometrics), or equivalent hands-on experience., • Demonstrate coding proficiency in at least one programming language, with a strong preference for Python., • Possess a strong foundation in mathematics, statistics, and machine learning concepts, enabling the development, training, and evaluation of production models and facilitating the comprehension of research papers., • Showcase exceptional communication skills, facilitating the effective conveyance of technical ideas and fostering productive collaborations with business partners., • Exhibit an entrepreneurial mindset and a deep passion for unlocking the potential of Large Language Models (LLMs) and classical machine learning techniques to drive a multi-billion dollar business., • Provide evidence of successful management experience, having effectively led teams of 1-2 machine learning engineers or scientists., • Proficiency in building RESTful APIs, ideally using Flask, FastAPI, or other Python frameworks., • Experience in constructing data pipelines that underpin Machine Learning model development., • Familiarity with Python libraries for machine learning, data manipulation, and mathematics, such as PyTorch, numpy, and pandas.

Job DescriptionDecision Science (DS) Analyst/Associate Positions • Are you looking for a consulting opportunity that uses your analytical skills, predictive modeling, and AI/ML?, • Does the thought of working with emerging trends and applying AI and GenAI best practices excite you?, • Is working in a collaborative culture with some of the brightest minds in the data analytics industry a goal?If you answer yes to any of these questions, read on and learn about Axtria's DS Opportunities Why Axtria? Axtria is an emerging force in the data analytics industry with corporate headquarters in Berkeley Heights, NJ. We work exclusively with companies in the Life Science industry, helping our clients solve some of their most complex problems. We blend information, analytics, AI, and technology to help organizations gain a competitive edge to improve patient outcomes and drive business growth. What's in it for you? Growth! Advancement of your analytical, technical, and AI skills. A high performance culture of doing the RIGHT thing. Analysts and Associates in our Decision Sciences (DS) Business work in teams that provide advance analytics, AI-driven insights and solutions to solve complex business problems for our clients in the Life Science Industry. Our DS professionals are oriented towards coding and AI implementation. They create and apply algorithms, build AI/ML models, use quantitative modeling and GenAI solutions to advise clients and help them make strategic and tactical decisions to achieve their business objectives. Potential Responsibilities may include (but not limited to) any of the following activities: • Conduct simple and advanced data analyses that help clients improve their patient health outcomes, • Build AI/ML models including machine learning algorithms, deep learning solutions, and GenAI applications, • Evaluate and recommend AI solutions for client business problems, assessing feasibility, ROI, and implementation approaches, • Develop statistical models and algorithms to predict and analyze key business metrics and trends, • Apply AI/ML, advanced statistical econometrics, and optimization models to real-world business problems, • Design and implement GenAI pipelines using LLMs, natural language processing, and multi-agent systems, • Work with a wide variety of modeling techniques, such as regression analysis, machine learning algorithms, clustering, neural nets, random forests, and deep learning algorithms, • Stay current with industry trends in AI, GenAI, predictive modeling and data science techniquesAbout You, • Working towards a Bachelors/Masters preference given to: Data Science, Computer Science, Business Analytics, Economics, Mathematics, Applied Mathematics, Statistics, and any Engineering Major, • AI/ML Knowledge: Understanding of machine learning concepts, algorithms, and their practical applications, • Programming Skills: Proficiency or strong foundation in Python, SQL, R - Excel skills required, • AI Tools: Familiarity with AI/ML frameworks (TensorFlow, scikit-learn, PyTorch) and GenAI tools preferred, • Must have strong communication skills, comfortable presenting concepts and recommendations to both technical and non-technical audiences, • Problem-solving mindset: Obsessed with working through and solving a wide variety of problems using analytical and AI approaches, • Dedicated team players who enjoy collaboration with the primary goal of "getting it done", • Interest in life sciences industry and improving patient outcomes through AI-driven solutions, • Graduating between December 2025 and June 2026 Pay Transparency Laws Salary range or hourly pay range for the position The salary range for this position is $70,000 to $85,000 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location. Powered by JazzHR 7mjZ4vOmi0

Job DescriptionAbout Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. • Taskrabbit is a hybrid company with employees distributed across the US and EU, • Built In — Best Places to Work (2022, 2023, 2024) Continually ranked across multiple national and regional categories., • DataBird Journal — Workplace Diversity & Inclusion Awards, • #1 Best Companies for Diversity in 2019 & 2020, • #4 (2019) → #1 (2020) Best Companies for Women Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!. This role is a two days a week in office, hybrid role that can sit in either our San Francisco office or our New York City office (Opening January 2026!) About the Role Data Science plays a crucial role in driving impact at Taskrabbit. As a member of the team, you will help drive our business strategy forward through predictive insights. We are seeking a highly skilled and motivated Senior Data Scientist to join us, working closely with cross-functional teams from product, engineering, marketing and operations to provide data-driven insights and solutions that enhance our products and accelerate growth. What you will work on • Be a strategic thought partner with stakeholders from product, marketing, and operations to define high-impact analytical problems, and solve them using different analytical and statistical approaches. Present actionable insights in a clear and compelling manner., • Proactively perform analytical deep dives to identify strategic growth opportunities in key business levers, e.g. customer/partner acquisition, retention, conversion, etc., • Collaborate with stakeholders to define and measure success metrics for new features and products, conduct advanced experimentation and causal inference to optimize product features and user experiences, • Foster a data-driven culture within the organization by advocating for best practices in data analysis and interpretation.Who you are, • BS, MS or Ph.D. in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research, or related field)., • A minimum of 5 years industry experience in data science; previous experience in a marketplace business is a plus, • Experience with advanced experimentation and statistical modeling, • Excellent analytical and problem-solving skills., • Excellent business acumen and strategic thinking skills, • Advanced in SQL, experienced in Python, and familiar with data pipeline tooling (e.g. dbt) and git., • A self-starter with the ability to work independently and drive your own projects end-to-end with a track record of landing strong business impact The base pay range for this position is $115,000 - $160,000. This range is representative of base pay only and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You'll love working here because: • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection., • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!, • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. 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.

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. The Rokt engineering team builds intelligent infrastructure and platforms that power mission-critical services. At this scale, excellence in reliability, performance, and developer experience is non-negotiable. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for a Senior Data Scientist (Identity & Attribution) Total Compensation between: $300,000-$375,000, which includes a fixed annual salary between $200,000 - $250,000, employee equity plan grant & world class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the Role: As a Senior Data Scientist on the Identity team, you’ll play a critical leadership role in building scalable systems and models that power identity and attribution — tackling problems like entity resolution, data enrichment, and real-time user matching. You will drive data-driven strategies, lead complex analyses for entity resolution, and collaborate cross-functionally to enhance the quality, effectiveness, and scalability of our identity systems. • Spearhead complex analyses applying advanced statistical methods and machine learning techniques to large-scale identity data, uncovering actionable insights to to significantly improve the effectiveness and quality of our attribution and user graph systems, including but not limited to identity., • Independently identify, scope, and champion high-impact opportunities for innovation within the identity space, developing novel analytical approaches and data-driven strategies., • Test and run experiments to determine impact on model relevancy., • Define key metrics for tracking the health and performance of identity systems; Design, build, and maintain robust data pipelines to support machine learning model deployment and large-scale data processing for identity use cases, • Conduct proactive analysis, modeling, and automation of improvements to entity resolution in areas such as geography, linkage, fraud detection, and risk assessment., • Partnering closely with product and engineering teams to develop the strategy for evolving our identity graph. About You: • 6+ years of industry experience as a Data Scientist (or 3+ years with a PhD), including significant work with identity, fraud, or security data, • Master’s degree in Statistics, Econometrics, Machine Learning, or related fields., • Demonstrated project leadership, mentorship, and ability to tackle highly ambiguous technical and business problems, • Strong knowledge of online AB testing and experimentation, • Strong knowledge of Python 3 (data science libraries) and SQL;, • Experience with distributed computing frameworks, particularly Spark is preferred, • Experience with Kubeflow is preferred, • Understands prompts for AI and is comfortable with using AI to improve day to day productivity, • Experience with large-scale data science projects in identity, attribution, fraud, or related areas (e.g., authentication, user verification, risk scoring, graph-based linking), • Strong analytical / modeling experience tied to business outcomes, • Applied use of visualization tools such as matplotlib, seaborn, tableau, Python visual libraries, • Experience with common Python data science libraries such as pandas, numpy and scipy About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through nineteen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University School of Professional Studies seeks industry professionals for the role of adjunct Lecturer to develop and teach various courses in the school’s M.S. in Political Analytics program. The program combines politics with advanced quantitative methods to enhance data skills that will drive decision-making and communicate effectively about data and politics. The program’s curriculum can be found here. Candidates should indicate in a cover letter, areas of subject matter expertise and what type of course they would be interested in or qualified to teach. Examples of current courses taught include: • Big Data & Political Strategy, • Campaign Finance & Fundraising Analytics, • Data Science for Political Analytics Responsibilities • Lead in-person class lectures, instructional activities, and classroom discussions, • Evaluate student work and grade assignments, • Monitor student concerns and inquiries, and be the first point of contact for student questions, • Hold weekly office hours, • Prepare, maintain, and enhance the course in Canvas, Columbia University’s learning management system for onsite and online courses, • Part‐time Lecturers who are new to SPS must complete Canvas training (online learning management system), • Attend Political Analytics faculty meetings, • If assigned to design the course, responsibilities also include:, • Develop course objectives that align with program-wide learning outcomes, • Create activity maps tying course activities to objectives, ensuring industry relevance, • Draft a detailed syllabus (course description, schedule, grading rubric, and assessments) for review and approval by the Program Curriculum Committee and the Committee on Instruction (COI) Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in an area related to political science, data science, quantitative methods or related field, • 10+ years of professional experience in a role involving political analytics, • Knowledge of statistics, econometrics, quantitative analysis or related techniques, • Knowledge and familiarity with analysis software (e.g. R), • Doctoral degree or equivalent in a relevant field, • Prior experience with electoral campaigns, policy-making initiatives, advocacy efforts, or lobbying operations, • University teaching experience, ideally at the graduate level Additional Information Compensation - $10,000 - $15,000 per semester-length course. Review of applications begins immediately and will continue until positions are filled. All applicants, please provide: • A resume/CV inclusive of university teaching experience -- highlight teaching at the graduate level, • A cover letter indicating the courses they would be interested in or qualified to teach, areas of subject matter expertise, and availability to teach in-person Columbia University is an Equal Opportunity Employer / Disability / Veteran

Master's degree (or foreign equivalent) in Mathematics, Statistics, Econometrics, Operation Research, Computer Science, or related field and four (4) years of experience with SQL and Snowflake; using credit bureau (Experian, TransUnion, Equifax) data and risk models built using that data to create u

Job DescriptionCompany Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description Purpose Describe the primary goals, objectives or functions or outputs of this position. The Director, Health Economics & Outcomes Research (HEOR) leads the development & execution of projects for on-market and/or pipeline development assets, who is the brand/asset leader representing HEOR on cross functional asset/brand teams and in the pipeline commercialization teams. He or she is accountable for HEOR strategies and execution for at least one asset and/or at least one indication for US or international. The director may have 1-2 full-time direct reports. Responsibilities List up to 10 main responsibilities for the job. Include information about the accountability and scope. • Oversees the design and conduct, of projects and effectively communicates the findings and strategic impact of findings to internal and external audiences, • Provides product leadership to HEOR strategic direction for consistent with business goals established in conjunction with the appropriate cross functional partners., • Ensures project plan integrates and aligns with the product strategic plans from matrix teams as well as commercial interests. Provides updates on execution of plans to product as well as functional management, owns, then shares project execution decisions. In the development of product strategic plans he/she liaises with other members of the product team to generate innovative ideas and create buy-in to strategies, • Accountable for end-to-end delivery of HEOR book of work under their remit, from strategy development to content pull through, • Accountable to ensuring strong partnership with all relevant HEOR COE functions to ensure a comprehensive HEOR voice is represented in cross-functional meetings, • Executive presence and ability to engage with senior leaders in a cross functional setting.Qualifications Qualifications List required and preferred qualifications (up to 10). Include education, skills and experience. • Advanced degree in health economics or related discipline, • Minimum of seven years working experience with Master’s, five year with PhD (can include fellowship experience). Professional training in a health field (MD, PharmD, etc.) is a plus, • Preferred: PhD in Economics, Econometrics, or (pharmaco)epidemiology or any other related field with 3 years of relevant experience. Clinical research experience strongly recommended; within pharmaceutical industry preferred. Experience leading complex products and/or clinical development in support of pipeline development and on-market product, • Typically 3+ years of clinical development experience in the pharmaceutical industry, CRO, academia or other health-related consulting company plus having expert knowledge in a relevant therapeutic specialty, • Proven leadership skills in a cross-functional global team environment. Ability to interact externally and internally to support global business strategy., • The Director must perform at times in previously uncharted territory with few, if any, established guidelines or procedures. At other times, exceedingly complex governmental rules and regulations must be followed. For problems surrounded by complex rules and regulations, the Director must be able to direct compliance knowledgeably and expeditiously., • Must be able to develop creative and effective solutions to inter- and intra-project priority conflicts, resource constraints and other problems which may impact project or group goals and deliverables across multiple programs., • High goal-orientation with the ability to see solutions rather than problems as projects encounter the inevitable ups and downs associated with new drug development or on-market product support., • Extensive knowledge of the global regulatory, HTA and PR&A landscape, as well as understanding of other development-related functions as they relate to all phases of drug development. HEOR leadership Cross functional partners through matrix teams Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. * This job is eligible to participate in our long-term incentive programs Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: