We are seeking an analytical and impact-driven Data Scientist to join our team. In this role, you will turn complex, multi-source data into actionable insights, predictive models, and strategic recommendations. Working closely with product, engineering, and business stakeholders, you will build data-driven solutions that solve core business challenges and optimize performance.

Key Responsibilities
Predictive Modeling & ML: Design, develop, and validate predictive models, statistical algorithms, and machine learning solutions using Python or R.

Data Exploration & Analysis: Perform exploratory data analysis (EDA) to discover trends, patterns, anomalies, and opportunities across large datasets.

Feature & Data Engineering: Extract, clean, transform, and aggregate data from relational and non-relational databases for analysis and model training.

A/B Testing & Experimentation: Design, execute, and analyze controlled experiments (A/B testing) to evaluate product changes, strategy efficacy, and user behavior.

Data Visualization & Storytelling: Create clear, interactive dashboards and visualizations (e.g., Tableau, Power BI, Looker) to communicate technical findings to non-technical leaders.

Cross-Functional Collaboration: Partner with product managers and engineers to embed machine learning models into production services and data pipelines.

Qualifications & Skills
Experience: 3+ years of professional experience in data science, predictive analytics, or statistical modeling.

Programming: Advanced proficiency in Python (Pandas, NumPy, Scikit-Learn, SciPy) or R.

Database & SQL: Strong mastery of complex SQL queries, data warehousing, and data extraction.

Mathematics & Statistics: Solid grounding in statistical inference, hypothesis testing, regression analysis, and machine learning fundamentals.

Business Acumen: Ability to translate abstract business problems into concrete analytical solutions with measurable KPIs.

Preferred Qualifications
Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a quantitative field.

Experience with cloud analytics environments (AWS SageMaker, BigQuery, Snowflake, or Databricks).

Familiarity with deep learning frameworks (PyTorch or TensorFlow) or NLP techniques.

What We Offer
Competitive base salary and performance bonuses.

Comprehensive health, dental, and vision insurance coverage.

401(k) retirement plan with company match.

Flexible work arrangements (Hybrid / Remote).

Generous paid time off (PTO) and professional development stipend.

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