Manager - Data Scientist Job in Blend360 India

Manager - Data Scientist

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Job Summary

Job Title: Manager - Data Science

Location: Hyderabad
Department: Data Science
Employment Type: Full-Time, Permanent

Role Overview:

As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board!

Key Responsibilities:

Delivery & Project Management:

  • Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics.
  • Perform data mining, feature engineering, and statistical analysis to extract meaningful insights.
  • Own project roadmaps, ensure quality control, and drive timely delivery of projects.
  • Collaborate with Data Engineering teams to deploy and operationalize ML models.
  • Automate and optimize workflows to enhance efficiency and streamline processes.

Practice Development:

  • Contribute to the scaling of Blend s Data Science practice by building new capabilities.
  • Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML.
  • Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem.
  • Lead innovation initiatives, research, and internal AI development.

People & Leadership:

  • Mentor and develop a high-performance data science team.
  • Guide team members' career development and set performance benchmarks.
  • Collaborate with cross-functional teams to ensure seamless execution of projects.

Qualifications:

  • Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL.
  • Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.).
  • Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks.
  • Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce.
  • In-depth understanding of statistics, probability, stochastic processes, and causal inference.
  • Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders.
  • Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines.
  • Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics.
  • Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field.

What You Get in Return:

  • Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience.
  • Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career.
  • Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future.
  • Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers.
  • Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing.
  • Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program.
  • Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills.

If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture!


Qualification :
Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.
Experience Required :

Minimum 8 Years

Vacancy :

2 - 4 Hires

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