This role is for one of Weekday’s clients Salary range: Rs 3000000 - Rs 4000000 (ie INR 30-40 LPA) Min Experience: 8 years Location: Pune JobType: full-time
Your ability to navigate the complexities of building scalable and high-performance systems, combined with your data science skills, will make you an invaluable contributor to the mission.
We are looking for a highly skilled Senior Data Scientist who can translate complex business problems into advanced analytical solutions. The ideal candidate combines deep expertise in statistical modeling, machine learning, and data engineering with a strong focus on Generative AI (GenAI), Large Language Models (LLMs), and Deep Learning.
This role requires both technical leadership and strategic vision — from driving AI/ML innovation to mentoring junior team members, and collaborating across product, consulting, and engineering teams to bring AI-powered solutions to life.
By applying your expertise in data science to the ad-server and retail media domains, you will contribute to delivering targeted and impactful advertising campaigns, optimizing ad inventory, and maximizing ROI.
What Will You Do?
Business Problem Solving
Apply statistical modeling and ML to solve real-world business problems
Translate complex business challenges into analytical frameworks
Build AI/ML solutions across industries
Extract insights from large-scale datasets to improve model accuracy, fairness, and relevance
Technical Proficiencies
Strong expertise in ML, DL, NLP, LLMs, and Generative AI (fine-tuning, RAG, prompt engineering)
Proficiency in Python, PyTorch/TensorFlow, Hugging Face, and cloud ML platforms (AWS/GCP/Azure) with MLOps practices
Skilled in scalable data pipelines and ML systems for training, evaluation, and deployment
Grounding in Responsible AI (fairness, explainability, bias mitigation)
AI/ML & Generative AI Innovation
Lead design, development, and deployment of ML/DL solutions, with emphasis on LLMs and GenAI
Build pipelines for training, fine-tuning, and serving LLMs for use cases like content generation, semantic search, personalization, multimodal AI
Drive applied research in GenAI and foundation models
Ensure performance, reliability, and cost optimization
Leadership & Collaboration
Provide technical and strategic leadership to Data Scientists and Analysts
Collaborate with engineering and product teams to integrate AI solutions into platforms
Mentor junior scientists and set best practices in MLOps and Responsible AI
Stay ahead of industry trends and incorporate into roadmap planning
Project Management & Strategy
Drive execution of business plans and projects
Manage continuous improvement of data science initiatives
Oversee data gathering and assessment for project goals
Develop contingency plans to adapt to changing business needs
You Will Be a Great Fit If You Have:
Master’s/PhD in Computer Science, Statistics, Mathematics, or related field
8–12 years’ experience in data science, generative AI, ML, and analytics (domain experience in e-commerce/advertising/retail advantageous)
3–4 years’ deep, hands-on expertise in NLP, LLMs, and Generative AI
2+ years’ experience leading projects and teams
Advanced proficiency in Python, PyTorch/TensorFlow, SQL, and cloud (AWS/GCP/Azure)
Strong foundation in ML, DL, NLP, and statistical rigor (regression, causal inference, time series)
Experience with MLOps frameworks (MLflow, Kubeflow, SageMaker, Vertex AI)
Strong data engineering skills (ETL pipelines for large-scale datasets)
Soft Skills:
Strong business acumen, stakeholder management, and communication skills
Proven record of mentoring, team leadership, and cross-functional collaboration
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