Data Scientist

🔧 Key Responsibilities
Clean, preprocess, and transform structured & unstructured data using Python
Perform exploratory data analysis (EDA) to identify trends and insights
Build reusable data pipelines and feature engineering workflows
Extract and prepare data using SQL and cloud-based data warehouses
Translate business problems into data-driven solutions
Develop and maintain analytical models and dashboards
Apply machine learning techniques for predictive analytics
Experiment with LLM-based solutions (prompting, embeddings, APIs)
Ensure data quality, documentation, and reliability
✅ Required Skills
9+ years of experience in Data Science / Data Analysis
Strong proficiency in Python (Pandas, NumPy, SciPy)
Expertise in data cleaning, transformation, and feature engineering
Hands-on experience with SQL (PostgreSQL, MySQL, BigQuery, Snowflake)
Experience with visualization tools (Matplotlib, Seaborn, Plotly, Power BI, Tableau)
Strong understanding of statistics and analytical techniques
Experience working with APIs and external data sources
Excellent problem-solving and communication skills