Staff Data Scientist

6 days ago

Pune India MacroHire Full time

Job Description

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 visionfrom 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 34 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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