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Sr. Data Scientist

icon building Company : Weekday Ai
icon briefcase Job Type : Full Time

Number of Applicants

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Job Description - 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).
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