Staff Data Scientist

2 weeks ago

Pune, India MacroHire Full time

We are hiring Staff Data Scientist for one of our client. Details below :Desigantion- Staff Data ScientistExp- 8+ yrsLocation- Pune (WFO)Domain- E-comm, Advertising, Retail (startup exp preferred)Budget- 35-50 LacsQualification- B.Tech/ M.Tech/ PhDAbout the roleWe are looking for a highly skilled Senior Data Scientist who can translate complex business problems into advanced analytical solutions. The ideal candidate combines d eep 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 tomentoring 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.

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