Data Scientist

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. 2–5 years of experience as a Data Scientist, Data Analyst, or similar role (preferably in eCommerce, retail, or consumer analytics). Strong proficiency in Python or R for data analysis and modeling. Experience with SQL and data manipulation in relational databases. Hands-on experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch, etc.). Knowledge of data visualization tools (Power BI, Tableau, or Looker Studio). Solid understanding of statistics, hypothesis testing, and regression modeling. Excellent analytical and problem-solving skills with a business-oriented mindset. Strong communication skills and ability to translate data insights into strategic recommendations.

Analyze large datasets to identify trends, patterns, and actionable business insights. Develop predictive and forecasting models for sales, demand, and customer behavior. Partner with marketing, operations, and finance teams to support data-driven decision-making. Design and implement A/B tests to evaluate marketing campaigns, product changes, or pricing strategies. Create and maintain data dashboards and automated reports to track business KPIs. Build and maintain ETL processes to collect and clean data from multiple sources. Apply machine learning and statistical techniques to solve complex business problems. Work with engineers and analysts to ensure data accuracy, consistency, and reliability. Communicate findings and recommendations to stakeholders in clear, actionable ways. Stay up to date with emerging data science tools, technologies, and methodologies.