2822 Data Platform Engineer jobs in Nashville,TN

7+ years of hands-on data science experience (or equivalent) delivering productionized models and measurable business impact.
Strong Python skills (pandas, numpy, scikit-learn); experience with survival analysis (lifelines, scikit-survival), logistic regression, and tree-based/gradient boosting methods.
Demonstrated MMM experience (e.g., adstock/carryover, saturation, lag modeling; frameworks such as Robyn or LightweightMMM) and translating results into budget recommendations and positive business change.
Experience working with multi-touch attribution models within customer journeys where brand (e.g. awareness, consideration/intent), campaign effectiveness (e.g., lead generation, conversions, etc.) and total investment considerations are leveraged to measure return on marketing investment (ROMI).
CLV modeling expertise (e.g., Pareto/NBD, BG/NBD, Gamma-Gamma, contractual/subscription CLV) and linking CLV to acquisition/retention strategies.
Proven ability to work in scrappy data environments: stitching disparate sources, resolving data quality issues, and iterating quickly with imperfect inputs.
Databricks and big data: Proficiency with SQL, PySpark, MLflow, and Databricks Jobs/Workflows; experience building feature pipelines and monitoring in the platform.
Experimentation: Designing and analyzing A/B and incrementality tests; understanding of causal inference concepts.
Version control and workflow: CI/CD familiarity; reproducible research practices and structured documentation.
Communication and influence: Track record of driving decisions with clear storytelling and stakeholder alignment.
Mentoring experience: Guiding junior associates, establishing coding standards, and elevating team practices.
Experience with cloud data ecosystems (Azure/AWS) and orchestration tools (Airflow, dbt).
Experience with visualization tools (e.g., Plotly, Matplotlib/Seaborn, Power BI/Tableau).

SmartExplore AI is experimental.

Apply Directly