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Egon Zehnder
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Data Science Manager

Data Science Manager

Egon Zehnder

15 - 20 years

9 - 13 Lacs

gurugram

Posted:20 hours ago| Platform:

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Skills Required

performance tuning product engineering gcp analytical machine learning operations sql python recruitment

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a seasoned and visionary Data Science Manager with deep expertise in AI/ML, including Classical ML, Deep Learning, NLP, and Generative AI. The ideal candidate will have a strong technical foundation, proven leadership experience, and a passion for solving complex business problems using data-driven approaches. This role requires a balance of strategic thinking, hands-on technical execution, and team leadership.

Leadership Strategy

Lead and mentor a team of data scientists, ML engineers, and research scientists.
Define and drive the AI/ML roadmap aligned with business goals.
Collaborate with cross-functional teams (Product, Engineering, Business) to identify opportunities for AI-driven innovation.
Advocate for ethical AI practices and model governance.

Technical Execution

Architect and implement scalable ML solutions using classical algorithms and deep learning frameworks.
Design and deploy NLP models for various tasks.
Build and fine-tune Generative AI models for diverse use cases.
Conduct rigorous experimentation, model validation, and performance tuning.

Project Stakeholder Management

Manage multiple AI/ML projects from ideation to production.
Translate business requirements into technical specifications and actionable insights.
Present findings and recommendations to senior leadership and stakeholders.

Required Qualifications

15+ years of experience in Data Science, Machine Learning, and AI.
Strong academic background in Computer Science, Statistics, Mathematics, or related field (PhD or masters preferred).

Hands-on experience with:

Classical ML: XGBoost, Random Forest, SVM, etc

Deep Learning: CNNs, RNNs, LSTMs, Transformers

NLP: BERT, GPT, LLaMA, T5, etc
GenAI: Diffusion models, LLM fine-tuning, prompt engineering
Proficiency in Python, SQL, and ML libraries (scikit-learn, Hugging Face, LangChain, etc).
Experience with cloud platforms (Azure, AWS, GCP) and MLOps tools (AML, MLflow, Kubeflow, Airflow).
Strong understanding of data architecture, feature engineering, and model deployment pipelines.

Experience with vector databases, retrieval-augmented generation (RAG), and semantic search.
Familiarity with LLMOps and GenAI safety frameworks.

Experience with Aure, Azure Copilot Studio, Azure Cognitive Services

Experience with Azure AI Foundry would be a strong added advantage
Publications or patents in AI/ML domains.
Good to know other cloud platforms like AWS, GCP and their respective data and AI services.

Soft Skills

Excellent communication and storytelling skills.
Strong problem-solving and analytical thinking.
Ability to inspire and lead high-performing teams.
Adaptability in a fast-paced, evolving tech landscape.

Benefits Highlights:

5 Days working in a Fast-paced work environment

Work directly with the senior management team

Reward and Recognition

Employee friendly policies

Personal development and training

Health Benefits, Accident Insurance

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Egon Zehnder

Business Consulting and Services

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Data Science Manager