This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a key member of our Data Science team, you'll be responsible for turning data into actionable insights, driving business decisions, and owning analytics projects from inception to completion. Day to day, your role will involve developing customized reporting and analytics tools to meet the unique needs of our clients. - Write production code in Python. - Design, launch, and analyze experiments to optimize ad campaigns. - Create reporting and analytics tools for the Data Science Team's customers. - Translate insights from reporting tools into tvScientific's Data Science Product. Qualifications - Ability to write and review production-level code in Python. - Strong statistics and ML fundamentals. - Desire to work in a fast-growing environment—comfortable with ambiguity, ownership, scaling new products, and an experimental, iterative development process. - Experience defining and measuring the utility of new reporting and analytics tools. - Ability to quickly translate between DS Analytics & DS Product team. - Strong track record of providing high-quality service to the DS team’s customers/stakeholders. - Adtech or CTV experience. - Teaching experience is a plus. - Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena is a plus. Requirements - This position is not eligible for relocation assistance. Benefits - Base salary range: $139,764 — $287,749 USD. - Eligible for equity.

• Optimize decisions and execution with analyses, and communicate to internal and external stakeholders • Partner with our Strategic Alliances and Client Success Teams as the data SME for respective Revenue segments and merchants. • Create business cases, insights, and dashboards as well as handle experiments to engage Affirm’s external merchant base; demonstrating Affirm’s value proposition and product performance. • Create internal analyses to assess Revenue performance, drive recommendations, and inform critical decisions; using insights to serve segment strategy and execution. • Standardize common use cases, provide the analytics infrastructure, and automate analyses and dashboards to scale decisions and execution within Revenue and with top external merchants. • Define KPIs, performance benchmarks, and methodologies, including identifying and working with unstructured and structured data sources (in-house and third-party) to enable solutions and generate actionable insights. • Provide project and analytics guidance to a cross-functional team, acting as the analytics point of contact. • Propose, monitor, and contextualize experiment design and execution to drive optimizations of Affirm’s GTM efforts, empirically quantify the value of Affirm to our prospective merchants, and upsell enhanced offers to existing merchants.

Healthcare Analytics Solutions (HAS) is an innovative team within Quest Diagnostics that leverages Quest data to develop products and services to improve outcomes in healthcare across many different markets (Pharma, Clinical Trials, Health Plans/Payers, Hospitals/Health Systems, and Public Health agencies). Join HAS to build, productionize, and operationalize clinical ML products using billions of results from Quest laboratory data. You will partner with clinicians, engineers, and product teams to deliver robust, compliant, and well‑documented models that impact patient care and downstream products. Fully remote, minimal travel required; strong emphasis on hands‑on production experience and pragmatic problem solving. Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

• Analyze large-scale pricing datasets to identify trends and benchmark comparable properties across regions • Architect core pricing intelligence systems using robust statistical ML methods that form the foundation for our next-generation pricing platform • Build enterprise-grade ML models that balance sophistication with interpretability, ensuring stakeholder confidence and regulatory compliance • Develop strategic pricing algorithms that combine the reliability of proven statistical methods with the innovation of modern ML engineering • Advanced analytics experience, including experimental design, A/B testing, and causal inference methods • Collaborate cross-functionally with engineers, analysts, and business teams to uncover pricing opportunities • Perform exploratory data analysis and communicate clear, actionable insights to leadership and stakeholders • Drive business impact by building strategic models and thriving in a fast-paced, high-growth environment