Key Responsibilities
- Collect, clean, and preprocess structured and unstructured datasets.
- Design and implement machine learning and statistical models (classification, regression, clustering, recommendation, forecasting, etc.).
- Perform exploratory data analysis (EDA) and communicate findings clearly to stakeholders.
- Work closely with data engineers and product teams to build reliable data pipelines and deploy models.
- Create intuitive dashboards, reports, and visualizations for business and technical stakeholders.
- Stay updated with latest data science tools, frameworks, and industry best practices.
Required Skills & Qualifications
- Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, Data Science, or related field.
- 3+ years of exp
- Technical Skills:
- Strong in Python (pandas, NumPy, scikit-learn, matplotlib/seaborn).
- Good knowledge of SQL for data extraction and transformation.
- Experience with at least one ML framework (TensorFlow, PyTorch, or scikit-learn).
- Hands-on with data wrangling, feature engineering, and model evaluation.
- Nice to Have:
- Knowledge of data visualization tools (Tableau, Power BI, or Plotly/Dash).
- Exposure to cloud platforms (AWS, GCP, Azure).
- Basic familiarity with big data frameworks (Spark, Hadoop) or MLOps concepts.
Soft Skills
- Strong problem-solving and analytical thinking.
- Ability to explain technical results in simple terms.
- Good communication and stakeholder management skills.
- Curious, adaptable, and eager to learn new technologies.
Why Join Us?
- Opportunity to work on diverse and challenging data problems.
- Learn and grow in a collaborative environment with exposure to end-to-end data science workflows.
- Career growth path into senior data science, ML engineering, or analytics leadership roles.
Job Type: Full-time
Pay: ₹35,000.00 - ₹50,000.00 per month
Benefits:
- Paid sick time
- Paid time off
- Provident Fund
- Work from home
Work Location: In person