Senior Data Scientist

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics, and AI‑driven solutions that improve customer engagement, marketing performance, operational efficiency, and business intelligence. The role partners with Product, Data Engineering, Software Engineering, Analytics, and business stakeholders to deliver production‑ready AI solutions.

• Design, build, train, evaluate, and deploy machine learning models.
• Develop predictive models including churn, propensity, lead scoring, customer lifetime value, recommendation engines, forecasting, and marketing attribution.
• Perform statistical analysis, hypothesis testing, causal inference, and A/B test analysis.
• Build feature engineering and model training pipelines.
• Deploy and monitor production ML models, including model drift detection and retraining.
• Collaborate with Product, Engineering, Analytics, and executive leadership.
• Mentor junior data scientists and establish best practices.

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field. Master's or PhD preferred.
• 5+ years of experience building and deploying production ML systems, with a track record of measurable business impact.
• Strong communication and business problem-solving skills.

• Expert Python and SQL
• Statistics:
  Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal inference
• Snowflake, Matillion, dbt, Pandas, Spark, Airflow
• Cloud:
  Google Cloud (preferred), AWS, or Azure
• Data quality and observability:
  Great Expectations, Monte Carlo, or similar frameworks
• LLMs and AI:
  OpenAI, Gemini, Claude, Lang Chain, Lang Graph, Semantic Kernel, RAG, vector databases

• Marketing analytics and personalization
• Automotive or SaaS industry experience
• Real‑time inference and streaming platforms

• Deliver production‑ready ML models with measurable business impact
• Improve prediction accuracy and operational efficiency
• Implement model monitoring and retraining
• Mentor team members and establish Data Science best practices
• Contribute to team capability growth through documentation, code review standards, and mentorship outcomes that raise the overall quality of the Data Science function

Compensation commensurate on experience. Participation in company benefit offerings include medical, dental, vision, unlimited paid leave, 401(k) matching, wellness, and more. The expected salary range for this position is $160,000-$220,000 annually
. The final offer will be based on several factors, including relevant experience, skills, and qualifications.