Data Scientist

Responsibilities:

Analyze marketplace data to uncover insights and business opportunities.
Develop predictive models for sales forecasting, demand planning, and stock optimization.
Conduct customer behavior analysis (retention, churn, repeat purchase).
Build product recommendation systems based on purchase history.
Collaborate with Data Engineers to ensure clean and structured datasets.
Create dashboards and reports to communicate insights to stakeholders.
Perform A/B testing and statistical experiments to validate hypotheses.

Qualifications:

Bachelor's degree in Statistics, Mathematics, Computer Science, or related field.
3–5 years of experience in data science.
Strong skills in statistics, data analysis, and machine learning.
Proficient in Python (pandas, scikit-learn, TensorFlow/PyTorch) or R.
Experienced with SQL/BigQuery and BI tools (Looker Studio, Power BI, Tableau).
Knowledge of time-series forecasting (Prophet, ARIMA, LSTM) is a plus.
Strong communication skills with non-technical teams.
Experience with NLP for product review analysis.