Data Science Manager

Zyoin Group; Bengaluru; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

A leading technology firm in Bengaluru is seeking a Manager – Data Science to lead a high-performing team of data scientists and machine learning engineers. This role requires hands-on technical leadership and people management to design, build, and deploy analytics and ML solutions that drive significant business impact. The ideal candidate will have over 6 years of experience in data science and a proven ability to deliver ML products to production. This position offers competitive pay and an opportunity to make a substantial impact.

Qualifications

• 6+ years of experience in Data Science, Machine Learning, or Analytics.
• Minimum 2 years of experience in a people-management or team-lead role.
• Proven track record of shipping ML/data products to production.

Responsibilities

• Lead and grow a team of data scientists and machine learning engineers.
• Design, build, and productionize analytics and ML solutions.
• Coach, mentor, and develop high-performing teams.

Skills

Machine Learning & Statistical Modeling

Python & SQL

Information Retrieval & Semantic Search

MLOps & Model Lifecycle Management

AWS & Cloud-Based ML Systems

Software Engineering Best Practices

Education

Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field

Master’s or PhD

Job description

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Experience: 6+ Years (2+ Years in People Management)

Role Overview

We are seeking a Manager – Data Science to lead and grow a high-performing team of data scientists and machine learning engineers. This role combines hands‑on technical leadership, people management, and strategic execution to design, build, and productionize analytics and ML solutions that deliver measurable business impact.

You will partner closely with Product, Engineering, and Business stakeholders to scale reliable, explainable, and high‑quality data products.

Key Responsibilities

• Coach, mentor, and develop a high‑performing team of data scientists and ML engineers.
• Foster a culture of continuous learning, experimentation, and technical excellence.
• Act as a technical mentor and subject‑matter expert for complex modeling challenges.

Project & Delivery Management

• Plan projects, prioritize initiatives, allocate resources, and track milestones to ensure timely delivery.
• Balance short‑term delivery with long‑term platform and capability building.
• Drive accountability, quality, and impact across all data science deliverables.

Technical & MLOps Leadership

• Provide technical guidance on model selection, architecture, feature engineering, evaluation, and deployment.
• Ensure best practices for model monitoring, versioning, CI/CD pipelines, and MLOps.
• Oversee deployment and maintenance of models in production environments.

Innovation & Strategy

• Stay current with industry trends in AI/ML, NLP, and Generative AI.
• Sponsor prototyping, experimentation, and adoption of new methods where appropriate.
• Drive scalable, explainable, and efficient ML solutions aligned with business goals.

Core Skills

• Machine Learning & Statistical Modeling
• Python & SQL
• Information Retrieval & Semantic Search
• MLOps & Model Lifecycle Management
• AWS & Cloud‑Based ML Systems
• Software Engineering Best Practices

Technical Abilities

• Advanced proficiency in statistical analysis and machine learning.
• Deep expertise in NLP, Generative AI, and LLMs.
• Experience with LLM efficiency techniques (quantization, distillation, pruning).
• Familiarity with GPU acceleration and distributed training.
• Strong experience deploying and maintaining models in production.
• Excellent problem‑solving and performance‑optimization mindset.
• Strong written, verbal, and cross‑functional communication skills.

Education & Experience

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
• Master’s or PhD preferred but not mandatory.
• 6+ years of experience in Data Science, Machine Learning, or Analytics.
• Minimum 2 years of experience in a people‑management or team‑lead role.
• Proven track record of shipping ML/data products to production with measurable business impact.