Instagram
youtube
Facebook

Data Scientist

8 - 12 years
20 - 30 LPA
10 June 18, 2025
Job Description
Job Type: Full Time Education: B.Sc/ M.Sc/ B.E/ M.E./ B.Com/ M.Com/ BBA/ MBA/B.Tech/ M.Tech/ All Graduates Skills: Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel

Data Scientist – AI/ML Product Lead

Location: Mumbai, Maharashtra
Company: Icogz Pvt Ltd
Job Type: Full-time, Permanent
Education Required: Master’s Degree
Apply via: On-site interview (In-person)


Role Overview:

We are seeking a visionary Product Lead with a strong technical foundation in AI/ML and a passion for delivering impactful business intelligence solutions. This role demands both strategic thinking and hands-on technical leadership to build scalable, market-leading products.


Key Responsibilities

1. Strategic Product Leadership

  1. Define comprehensive product strategy for AI/ML-powered solutions.

  2. Create and manage product roadmaps aligned with client and market needs.

  3. Lead product vision, differentiation, and competitive positioning.

  4. Collaborate across Engineering, Data Science, and Go-to-Market teams.

2. Technical Product Management

  1. Oversee development of machine learning-based intelligence products.

  2. Integrate AI/ML capabilities such as LLMs, NLP, and agentic frameworks.

  3. Promote best practices in algorithm design and model deployment.

  4. Lead innovation in vector databases, embeddings, and analytics.

3. Market & Client Focus

  1. Conduct market research and identify new business opportunities.

  2. Convert technical features into compelling value propositions.

  3. Engage clients for feedback and improve product-market fit.

  4. Measure and report business impact and ROI.

4. Team Leadership

  1. Build, guide, and mentor technical and product teams.

  2. Foster a culture of excellence, innovation, and customer focus.

  3. Develop frameworks for knowledge-sharing and growth.

  4. Encourage adoption of new technologies and agile practices.

5. Business Impact

  1. Support P&L ownership for the data science product suite.

  2. Define and track key metrics like adoption and retention.

  3. Drive successful product launches and market strategies.

  4. Collaborate with Sales and Marketing for go-to-market success.


Required Qualifications

1. Technical Expertise

  1. Master’s/Advanced degree in Computer Science, Data Science, or related field.

  2. 8–12 years in data science, ML, and technical product development.

  3. Strong knowledge of ML algorithms, statistics, and real-world application.

  4. Experience in Python/R, SQL, and major ML libraries.

  5. Solid understanding of NLP, LLMs, and agent frameworks.

  6. Familiarity with big data platforms and scalable systems.

2. Product Leadership

  1. 5+ years in senior product management, 3+ years in leadership.

  2. Proven record of launching and scaling B2B AI/ML products.

  3. Strong background in BI, analytics, or enterprise data software.

  4. Expertise in building roadmaps and leading cross-functional teams.

3. Business & Leadership

  1. Deep understanding of data analytics and BI markets.

  2. Experience with product monetization and pricing strategies.

  3. Ability to work with C-suite stakeholders and influence strategy.

  4. Excellent communication of complex technical topics.

  5. Experience in fast-paced tech environments or startups.


Preferred Qualifications

  1. Experience with MLOps, vector DBs, and live ML systems.

  2. Background in startups or tech scale-ups.

  3. Exposure to enterprise software sales and customer success.

  4. Track record of product exits or organizational scaling.

  5. Knowledge of data governance and compliance standards.


What We Offer

  1. Strategic leadership opportunity in AI/ML product development.

  2. Competitive compensation and equity options.

  3. Innovation-first culture and top-tier engineering team.

  4. Opportunity to influence company growth and direction.

  5. Access to cutting-edge AI/ML technologies and tools.

Jobs in other cities