Data Scientist

This role is for one of the Weekday's clients

Salary range: Rs 2000000 - Rs 3000000 (ie INR 20-30 LPA)

Requirements

Key Responsibilities:

• Develop, implement, and optimize machine learning models to solve real-world business problems such as customer segmentation, recommendation systems, predictive analytics, churn prediction, and more.
• Translate business requirements into analytical models and data products that align with company goals.
• Clean, preprocess, and manipulate large datasets from various structured and unstructured sources using Python and SQL.
• Build data pipelines and automate data workflows for scalable model deployment and monitoring.
• Collaborate closely with cross-functional teams including data engineering, product, marketing, and operations to define problem statements, prioritize tasks, and deliver solutions.
• Present findings, models, and recommendations to both technical and non-technical stakeholders through clear visualizations and storytelling.
• Continuously research and stay updated on the latest trends in machine learning, statistical modeling, and data science techniques to apply best practices and enhance model performance.
• Ensure the reliability, accuracy, and explainability of models, and participate in code reviews, model validation, and documentation.
  

Skills and Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• 3 to 6 years of hands-on experience in data science or machine learning roles.
• Strong proficiency in Python and its data science libraries (such as Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, TensorFlow or PyTorch).
• Solid experience with SQL for data querying, manipulation, and aggregation across large datasets.
• Demonstrated ability to build and deploy end-to-end machine learning models in production environments.
• Strong understanding of statistical analysis, data modeling, and algorithm design.
• Experience working with large-scale datasets, preferably in cloud environments (AWS, GCP, or Azure).
• Familiarity with tools like Jupyter Notebooks, Git, and CI/CD pipelines is a plus.
• Excellent problem-solving, critical thinking, and communication skills.
• Ability to work independently in a fast-paced, dynamic environment while collaborating effectively within a team