Senior Data Scientist

Translate complex business challenges into scalable data products and machine learning models Own projects from exploratory analysis through production deployment Write complex SQL and engineer features Deploy baseline models quickly and iterate toward more complex solutions Manage the complete model lifecycle, including data extraction, feature engineering, deployment, A/B testing, and performance monitoring Partner with Engineering, Product, Business, and Finance stakeholders to define technical requirements and translate model outputs into actionable insights Write clean, modular, production-ready code Participate in peer code reviews and contribute to technical best practices Break down ambiguous, complex requirements into executable milestones Provide technical guidance to junior data scientists and analysts Requirements 5+ years of applied experience in Data Science or ML Engineering Track record of delivering production-ready models that drive measurable business value Strong expertise in Python and SQL Deep familiarity with pandas, NumPy, scikit-learn, and standard ML frameworks such as PyTorch, XGBoost, or LightGBM Experience working in cloud-based environments such as AWS or GCP Familiarity with CI/CD workflows, Git, and MLOps principles Ability to connect technical metrics to business outcomes and select appropriate algorithms Ability to explain technical concepts, model limitations, and analytical findings to non-technical stakeholders BS, MS, or equivalent experience in a quantitative field Preferred: experience taking initial machine learning models from exploratory notebooks to automated production pipelines Preferred: experience in customer behavior and propensity modeling, forecasting, optimization, or causal inference Core Competencies Demonstrates expertise in Data Science and Machine Learning Engineering, with a strong focus on developing production-ready models that deliver measurable business value. Proficient in Python, SQL, and various ML frameworks, with the ability to translate complex data challenges into actionable insights for stakeholders. Highest-signal resume keywords Python Programming SQL Proficiency Machine Learning Model Development Cloud-Based Environments (AWS, GCP) Data Lifecycle Management Hard Skills Data Science Machine Learning Engineering Feature Engineering A/B Testing Performance Monitoring Model Deployment Exploratory Data Analysis Technical Documentation Algorithm Selection Statistical Analysis Soft Skills Technical Communication Collaboration Mentoring Problem-Solving Adaptability Industry Keywords Data Products Business Insights Customer Behavior Modeling Forecasting Optimization Causal Inference Tools