Sr. Data Scientist

This role is for one of the Weekday's clients

Salary range: Rs 3000000 - Rs 3200000 (ie INR 30-32 LPA)

Min Experience: 8 years

Location: Pune

JobType: full-time

This position is ideal for an experienced Senior Data Scientist who can design, build, and deploy advanced machine learning models while driving data-driven decision-making across the organization. The role involves working with large and complex datasets, developing scalable ML pipelines, and implementing end-to-end solutions within cloud environments such as Azure. You will collaborate closely with engineering, product, and business teams to convert analytical insights into meaningful business outcomes.

Key Responsibilities

• Develop and deploy predictive and prescriptive machine learning models.
• Analyze large datasets to uncover trends, patterns, and actionable business insights.
• Work with cross-functional teams to design data-driven solutions aligned with business goals.
• Perform data preprocessing, feature engineering, and model optimization.
• Evaluate model performance using appropriate statistical and ML metrics.
• Build scalable machine learning pipelines and integrate models into production systems.
• Present insights through dashboards, visualizations, and clear reporting.
• Engage with stakeholders and explain technical findings to non-technical audiences.

What Makes You a Great Fit

• Strong background in machine learning model development, deployment, and MLOps.
• Proficiency in Python or R, with hands-on experience in SQL, Pandas, NumPy, and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience working in cloud environments, especially Azure, and familiarity with tools like Power BI or automation platforms.
• Excellent problem-solving abilities and a deep understanding of data science workflows.
• Ability to translate technical insights into clear business recommendations.
• Strong communication and stakeholder management skills.
• Advanced degree in a quantitative field and 8–10+ years of overall experience (with 2–4 years relevant to data science).