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Lead Data Scientist

Lead Data Scientist

HorizontalBengaluru, Karnataka, India
3 days ago
Job description

We are looking for a highly capable and forward-thinking Data Scientist to support our Merchandising Analytics team in advancing our data science capabilities. This role is ideal for professionals with strong statistical modeling expertise, hands-on experience with predictive and prescriptive analytics, and a passion for emerging AI technologies, including Large Language Models (LLMs). You will also play a key role in mentoring and upskilling our internal team.

Key Responsibilities

  • Design and implement advanced statistical models including regression, clustering, classification, and time-series forecasting to solve complex business problems.
  • Develop prescriptive analytics solutions to recommend optimal actions based on predictive insights.
  • Collaborate with business stakeholders to translate analytical findings into actionable strategies.
  • Work with large-scale datasets using SQL, Python, R, and big data tools (e.g., Hive, PySpark).
  • Build and maintain dashboards and visualizations using BI tools like Tableau or Domo.
  • Apply and experiment with LLMs (e.g., GPT, Claude, open-source models) to enhance analytics workflows, automate insights, and support natural language querying.
  • Mentor and guide full-time analysts and data scientists on statistical techniques, modeling best practices, and AI / LLM integration.
  • Stay current with industry trends in data science, machine learning, and AI, and bring innovative ideas to the team.

Required Qualifications

  • 6–10 years of experience in data analytics or data science, with a strong foundation in statistical modeling and machine learning.
  • Proficiency in SQL and Python or R for data manipulation, modeling, and automation.
  • Experience with predictive modeling, clustering, regression analysis, and prescriptive analytics.
  • Experience with multi-variate statistical analysis, clustering, predictive modeling, regression, classification (gradient boosting, SVMs etc.), NLP / text analytics and prescriptive analytics.
  • Familiarity with LLMs and their application in data workflows or business intelligence.
  • Strong understanding of data warehousing and big data technologies (e.g., Hadoop, Hive, PySpark).
  • Experience with BI tools such as Tableau, Domo, or Power BI.
  • Excellent communication and stakeholder management skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Preferred Qualifications

  • Experience in retail, merchandising, or marketing analytics.
  • Exposure to cloud platforms (e.g., GCP, AWS, Azure) and modern data stack tools.
  • Prior experience mentoring or training teams in analytics or AI technologies
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    Lead Data Scientist • Bengaluru, Karnataka, India