Senior Data Scientist
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Senior Data Scientist guiding product decisions and AI initiatives for a United States-based product organization. Defining metrics, evaluating features, forecasting outcomes, and building scalable analytics assets.
Responsibilities:
- Partner with Product Managers, Engineers, and cross-functional stakeholders to answer strategic product questions through reporting, analysis, deep dives, and predictive or prescriptive modeling
- Forecast business outcomes and identify opportunities to improve product performance
- Define, maintain, and improve key product metrics, dashboards, and monitoring frameworks
- Apply machine learning techniques to customer behavior, engagement, retention, churn, propensity scoring, segmentation, recommendation systems, and personalization initiatives
- Evaluate product launches, feature changes, and AI-enabled initiatives against success metrics and communicate recommendations
- Support experimentation and measurement design, including hypothesis development, test readouts, and post-launch evaluations
- Build scalable modeling, reporting, and self-service analytics assets
- Partner with data engineering and platform teams to improve data quality, instrumentation, metric definitions, and reporting pipeline reliability
- Translate complex findings into concise narratives, presentations, and recommendations
- Support AI data initiatives by helping build and evaluate models, measure features, and assess customer and business impact
Requirements:
- Bachelor's degree in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, Engineering, or a related discipline
- 5+ years of experience in data science, product analytics, decision science, or a closely related analytics role supporting product teams
- Strong SQL skills
- Proficiency in Python for data analysis, statistical modeling, predictive modeling, and data exploration
- Experience with PyTorch, scikit-learn, and other machine learning frameworks
- Familiarity with feature engineering, model selection, cross-validation, hyperparameter tuning, and performance evaluation
- Experience developing dashboards and visualizations for executive reporting and product decisions
- Strong understanding of product metrics, experimentation, hypothesis testing, and statistical analysis
- Experience working with large, messy, and multi-source datasets
- Excellent communication skills and ability to explain technical findings in plain language
- Experience supporting AI or ML-related product initiatives, model evaluations, or measurement frameworks is preferred
- Advanced degree is preferred
- Experience in media, ad tech, mar tech, digital subscriptions, marketplaces, or other product-led businesses
- Experience in cloud data environments and product instrumentation best practices
- Experience in highly cross-functional environments with shifting priorities
Benefits:
- Annualized base salary of $115,000–$120,000
- Variable compensation may be applicable
- Remote work
Similar Jobs
Senior Data Scientist
Senior Data Scientist driving product analytics, experimentation, and AI measurement for a product-led organization. Building models, metrics, dashboards, and recommendations that guide product roadmap and investment decisions.
Data Scientist IV
Data Scientist IV developing predictive models, analytics, and visualizations for Astreya, a global IT managed services provider. Leading big-data engineering and AI/ML solutions across complex business datasets.
Marketing Analytics Lead
Marketing Analytics Lead building attribution models, dashboards, and experiments for Marathon Health’s advanced primary care business. Turning member-engagement data into marketing optimization recommendations.
Deputy Manager – Data Sciences
Data Sciences Deputy Manager developing Azure-based AI and data solutions for WNS, an intelligent operations and transformation company. Building models, pipelines, and analytics for business problems.
Senior Manager, Data Imports and Migrations
Senior Manager leading healthcare data migration and ETL engineering at athenahealth. Overseeing Python automation, interoperability, EHI exports, delivery reliability, and team development.
Senior Data Scientist
Senior Data Scientist building machine learning and Generative AI solutions for large enterprises at phData, a remote-first data and AI consultancy. Designing production-ready models, pipelines, and MLOps systems.
Clinical Data Management Lead
Clinical Data Management Lead overseeing end-to-end global clinical trials for IQVIA, a clinical research and healthcare intelligence provider. Leading data quality, compliance, client delivery, and cross-functional teams.
Senior Data Scientist
Senior Data Scientist building AI learning tools and cloud data models for the Veterans Health Administration. Integrating VA systems and advancing responsible AI education across federal healthcare.
Planning Manager – Data Center
Planning Manager leading project schedule development for large-scale Data Center projects. Collaborating across teams to ensure project success and integrated planning and execution strategies.
Data Scientist
Data Scientist applying machine learning and NLP in healthcare analytics. Collaborate with teams to refine predictive models and document processes for deployment.
Senior Insurance Data Scientist
Lead Data Scientist developing and maintaining pricing models for pet insurance at Independence American Insurance Company. Collaborating across teams to drive analytical best practices and project initiatives.
Senior Manager, Master Data Management – Reference Data
Senior Manager leading Master Data Management initiatives for a biotechnology company. Responsible for data standards, governance, and cross-functional team delivery.
Senior Product Manager, Data & AI
Senior Product Manager at ICA, Inc., focusing on data and AI to enhance document intelligence solutions for government customers. Leading product roadmaps and managing cross-functional teams.
Senior Data Scientist
Senior Data Scientist at Pipe Technologies developing and deploying machine learning models to forecast customer cash flows and credit risk. Collaborating with engineering teams to improve product design and customer experience.
Senior Data Scientist
Senior Data Scientist at Aplazo developing AI-driven models for credit risk, growth, and fraud. Collaborating across domains with a focus on fintech innovations and strategies.
Head of Data Science, Credit Risk
Head of Data Science leading ML-driven underwriting strategy at FINN, enhancing financial inclusion in Southeast Asia. Develop risk models and manage data science teams for optimal growth.
Data Scientist, Mid-level
Data Scientist working on Zé Delivery's Digital Insights team to develop analytical models. Collaborating on business decisions and product recommendations across various squads.
Data Strategy Tech Lead
Data Strategy Tech Lead managing internal technical initiatives for data-intensive systems at SentiLink. Collaborating with cross-functional teams to build and operationalize data for the future.
Data Manager, FME
Data Manager (FME) developing automated data flows and supporting data analysis for a major European Institution. Collaborating with internal teams to ensure data quality and performance monitoring.
Clinical Data Lead – NSQIP
Clinical Data Lead at MRO managing quality tasks for clinical data abstraction. Collaborating on internal performance trends and mentoring new hires for data integrity.