Senior Data Scientist Position

2 weeks ago

Mumbai, Maharashtra, India beBeeDataScientist Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior Data Scientist (Generative AI & LLMs)

We are seeking a Senior Data Scientist with expertise in Generative AI and Large Language Models to design, build, and scale AI-powered solutions for retail media and ad-tech.

This role blends technical leadership, applied research, and business impact, requiring hands-on expertise in machine learning, deep learning, natural language processing, and large language models. The ideal candidate will drive innovation in Generative AI, lead applied research, and collaborate with product and engineering teams to deliver customer-facing AI solutions.

Key Responsibilities:

  • Translate complex business problems into advanced statistical and ML frameworks.
  • Develop scalable ML and DL solutions with a strong emphasis on LLMs and Generative AI.
  • Build and optimize training, fine-tuning, evaluation, and deployment pipelines for LLMs.
  • Apply Responsible AI principles to ensure fairness, explainability, and bias mitigation.
  • Lead applied research and incorporate cutting-edge GenAI methods into production.
  • Build scalable data pipelines and end-to-end ML systems on cloud platforms.
  • Provide technical leadership to data scientists, analysts, and engineers.
  • Mentor junior talent, establish best practices, and influence the data science roadmap.
  • Partner with cross-functional teams to integrate AI solutions into customer-facing platforms.
  • Manage project execution, continuous improvement, and strategy alignment.

Must-Have Qualifications:

  • Master's or PhD in Computer Science, Statistics, Data Science, or related fields.
  • 8–12 years of applied data science/ML experience, with strong domain exposure to e-commerce, advertising, or retail.
  • 3–4 years of hands-on expertise in LLMs, Generative AI, and NLP.
  • 2+ years of leadership experience in guiding projects and teams.
  • Strong proficiency in Python, SQL, PyTorch/TensorFlow, and cloud ML platforms (AWS/GCP/Azure).
  • Experience with MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker).
  • Solid statistical foundation (hypothesis testing, regression, causal inference, time-series).
  • Strong data engineering skills for ETL and large-scale dataset processing.

Benefits:

  • Opportunity to build cutting-edge AI solutions shaping the future of retail media.
  • Work with a world-class leadership team.
  • Be part of a fast-scaling SaaS startup with global Tier 1 retailers as clients.
  • Culture of innovation, ownership, and continuous learning.
  • Competitive compensation, growth opportunities, and flexible working environment.

Additional Information:

  • Ability to map AI/ML solutions to strategic goals.
  • Strong communication and stakeholder management skills.
  • Proven leadership and mentoring capabilities.
  • Adaptability in a fast-paced, high-growth startup environment.
  • Innovative mindset with a passion for staying ahead of AI/ML trends.

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