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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