Manager - Data Scientist Job in Blend360 India
Manager - Data Scientist
- Hyderabad, Telangana
- Not Disclosed
- Full-time
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.

