Staff Data Scientist

We are hiring Staff Data Scientist for one of our client. Details below : Desigantion- Staff Data Scientist Exp- 8+ yrs Location- Pune (WFO) Domain- E-comm, Advertising, Retail (startup exp preferred) Budget- 35-50 Lacs Qualification- B.Tech/ M.Tech/ PhD About the role 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 . You will be a great fit if you have: ● A master's or doctoral degree in a relevant field such as computer science, statistics, mathematics, or data science is preferred. A strong academic background with coursework in machine learning, statistical modeling, data mining, and programming is valuable. ● 8-12 years of practical experience in data science, generative AI, machine learning, and analytics. Experience in relevant domains, such as e-commerce, advertising, or retail, may be advantageous. ● Minimum 3–4 years of deep, hands-on expertise in NLP, LLMs, and Generative AI. ● 2+ years of Demonstrated experience in leading projects and teams. ● Advanced Proficiency in Python is essential for data manipulation, statistical analysis, and machine learning model development. Core Skills: ● Strong foundation in machine learning, deep learning, and NLP. ● Hands-on experience with LLMs (GPT, LLaMA, Falcon, Mistral, etc.) and GenAI frameworks (LangChain, Hugging Face, RAG, fine-tuning, LoRA). ● Proficiency in Python, PyTorch/TensorFlow, SQL, and cloud platforms (GCP/AWS/Azure). ● Experience with MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker, etc.). ● Strong data engineering skills to build ETL pipelines for large-scale datasets. ● Statistical rigor: hypothesis testing, power analysis, confidence intervals; regression (GLM/GLMM), time-series; causal inference (propensity scores, DiD, RDD) for business impact.

Apply Now