Senior Data Scientist - R01561661

Key Responsibilities
Business Problem Formulation & Solution Design
Translate business requirements into well-defined data science problems
Design analytical approaches aligned with business objectives and constraints
Apply design thinking to develop structured and scalable data-driven solutions
Statistical Validation & OKR Alignment
Validate business objectives and key results (OKRs) using statistical methods
Ensure analytical outputs are aligned with measurable business goals
Apply hypothesis-driven thinking for decision-making and evaluation
Data Preparation & Wrangling
Perform data cleaning, transformation, and preprocessing using Python or R
Handle structured and unstructured datasets for analysis and modeling
Ensure high-quality datasets for downstream analytics and ML workflows
Insight Generation & Data Storytelling
Conduct exploratory data analysis to identify trends and patterns
Generate actionable insights through visualization and narrative storytelling
Present findings using tools like Tableau or Power BI
Advanced Analytics & Machine Learning
Develop and evaluate machine learning models for business use cases
Perform iterative model tuning while balancing performance and resource efficiency
Make informed decisions on model iteration cycles and stopping criteria
Automation & Analytical Efficiency
Use Excel VBA for automation of repetitive analytical tasks and reporting
Streamline workflows for faster data processing and reporting
Communication & Stakeholder Management
Communicate insights clearly through written and verbal presentations
Translate complex analytical findings into business-friendly narratives
Collaborate with cross-functional teams to quickly understand new domains
Domain Adaptability & Business Acumen
Rapidly acquire domain knowledge across industries
Apply strong data literacy to diverse business contexts
Use problem-solving and analytical reasoning to support decision-making