Data Scientist

We are seeking a highly skilled Data Scientist to join our team and drive data-driven decision-making across the organization. You will work closely with cross-functional teams to build predictive models, conduct experimentation, design analytical solutions, and translate complex data into actionable insights that impact strategy and product direction.

Key Responsibilities

• Collect, process, and analyze large datasets from various internal and external data sources.

• Build, validate, and deploy machine learning and statistical models for prediction, classification, clustering, and optimization tasks.

• Work with product managers, engineers, and business stakeholders to define problem statements and analytic approaches.

• Develop and maintain ETL pipelines, data quality checks, and scalable data workflows.

• Create intuitive data visualizations, dashboards, and reports (e.g., via Power BI, Tableau, Looker).

• Conduct A/B testing and experimental analysis to measure product or feature impact.

• Communicate insights clearly and effectively to technical and non-technical audiences.

• Stay up to date with the latest technologies, algorithms, and best practices in data science and machine learning.

Required Qualifications

• Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.

• Strong proficiency in Python (Pandas, NumPy, Scikit-learn) or R.

• Experience with SQL and working with relational / cloud databases (e.g., PostgreSQL, BigQuery, Snowflake, Redshift).

• Solid understanding of statistics, probability, hypothesis testing, and experimental design.

• Experience building and evaluating machine learning models.

• Familiarity with cloud platforms (AWS, Google Cloud Platform, Azure) and data pipelines.

• Excellent problem-solving skills and business acumen