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.

Key Responsibilities

• 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.

Required Qualifications

• 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

Technical Skills

• Expert Python and SQL

• Machine Learning: XGBoost, LightGBM, Random Forests, Neural Networks, Deep Learning

• 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

• MLOps: MLflow, Kubeflow, Vertex AI Pipelines, Feature Stores, CI/CD

• Data quality and observability: Great Expectations, Monte Carlo, or similar frameworks

• LLMs and AI: OpenAI, Gemini, Claude, LangChain, LangGraph, Semantic Kernel, RAG, vector databases

Preferred Experience

• Large-scale customer data platforms

• Marketing analytics and personalization

• Automotive or SaaS industry experience

• Real-time inference and streaming platforms