Design, develop, and validate predictive models — forecasting, classification, regression, and segmentation — with rigorous diagnostics and clear documentation
Conduct A/B testing and causal analyses to support experimentation programs and measure the impact of client initiatives
Develop optimization solutions (linear, mixed-integer, multi-objective) and ensure models are production-ready with monitoring in place
Use Databricks for large-scale data processing and machine learning workflows, integrating data from diverse sources across complex client environments
Monitor and validate data flows, develop data quality reporting, and perform root-cause analysis when issues surface
Collaborate with data engineering teams on MLOps practices — MLflow pipelines, model deployment, lifecycle management, and version control via Git/GitLab
Execute advanced analyses, synthesize findings, and build executive-ready presentations and visualizations using Tableau and Power BI
Develop new metrics and KPI reports that give clients and internal stakeholders a clearer view of business performance
Communicate effectively with both business and technical audiences — adapting your framing to the room
Work with business partners and data engineering teams to elicit requirements, define business rules, and translate client needs into technical specifications
Contribute to project meetings to align on scope, timelines, and analytical approach across multi-member engagements
Test database changes prior to release and ensure data designs align with defined standards and governance requirements
Apply data governance, privacy, and compliance standards consistently across analytical work
Document models, processes, and business rules clearly enough that others can reproduce, validate, and build on your work
Requirements
Bachelor's degree in Computer Science, MIS, Statistics, Mathematics, Marketing Research, or a related quantitative field — or equivalent practical experience
2–5+ years of hands-on analytics experience including predictive modeling, A/B testing, and optimization
Advanced SQL and Python for querying, manipulating, and interpreting data from databases and data warehouses
Hands-on experience with Databricks for large-scale data processing and machine learning workflows
Proficiency with Tableau and/or Power BI for analysis and stakeholder communication
Experience with Git/GitLab for version control and collaborative development
Strong Excel and PowerPoint skills
Proven ability to present analytical findings to management and partner effectively with both business and technical stakeholders
Understanding of data governance, privacy, and compliance standards
Tech Stack
Python
SQL
Tableau
Benefits
medical, dental, and vision coverage
401(k) retirement plan
paid holidays
Flexible Time Off (FTO)
additional programs focused on wellness, financial security, and professional growth