Key Responsibilities
- Build, validate, and maintain machine learning models for forecasting, classification, regression, anomaly detection, and business analytics.
- Perform data cleaning, feature engineering, model evaluation, and performance monitoring to ensure reliable and scalable solutions.
- Develop data pipelines, automation workflows, and analytical solutions using Python and SQL.
- Analyze business data to identify trends, risks, opportunities, and key performance drivers, translating findings into actionable recommendations.
- Collaborate with business, operations, finance, and technology teams to understand requirements and deliver measurable analytical outcomes.
- Communicate model assumptions, limitations, and results effectively to both technical and non-technical stakeholders.
- Own data science projects end-to-end, including requirement gathering, development, deployment, and stakeholder management.
- Mentor junior team members and contribute to improving data science best practices across the organization.
Required Qualifications




- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Finance, or a related quantitative discipline.
- 5+ years of experience in Data Science, Machine Learning, Predictive Analytics, or Statistical Modeling.
- Robust programming skills in Python and SQL with hands-on experience building production-ready analytical workflows.
- Solid understanding of regression, classification, clustering, forecasting, anomaly detection, feature engineering, and model evaluation techniques.
- Experience with machine learning libraries such as Scikit-learn, XGBoost, Light GBM, Statsmodels, Tensor Flow, or Py Torch.
- Strong communication, stakeholder management, problem-solving, and project ownership skills.
Preferred Qualifications
- Experience in business, financial, or operations analytics, consulting, or client-facing analytical environments.
- Exposure to model deployment, m

📌 Senior Data Scientist (Surat)
🏢 Paperchase Accountancy
📍 Surat