drjobs Manager - Data Science

Manager - Data Science

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1 Vacancy
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Job Location drjobs

Hyderabad - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Location: Hyderabad

Role Highlights:

As a Manager - Data Science you wont just manage youll lead by doing. This role demands strong hands-on expertise in Machine Learning Generative AI Python and SQL and any cloud environment (GCP Azure or AWS) ensuring that you stay deeply engaged in the technical side while mentoring and growing a high-performing team. Youll spearhead end-to-end AI/ML project execution collaborate with cross-functional teams and drive innovation within Blends 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 wed love to have you on board!

What Youll Tackle Each Day:

Delivery & Project Management:

  • Develop and implement ML models Gen AI solutions and predictive analytics.
  • Perform data mining feature engineering and statistical analysis.
  • Own project roadmaps quality control and timely delivery.
  • Collaborate with Data Engineering teams to deploy and operationalize ML models.
  • Automate and optimize workflows for efficiency.

Practice Development:

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

People & Leadership:

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

Qualifications :

  • 8 years of experience in Data Science & AI with hands-on expertise in ML Python and SQL.
  • Exposure to Generative AI Should have worked on at least a few POCs or pilot projects leveraging Gen AI capabilities
  • Strong knowledge of ML algorithms (Classification Regression Forecasting NLP LLMs Optimization etc.).
  • Experience in end-to-end ML deployment including working with either Azure or AWS or GCP or Databricks.
  • Proven ability to solve complex business challenges in Retail CPG BFSI Healthcare or eCommerce.
  • Deep expertise in statistics probability stochastic processes and causal inference.
  • Strong communicator who can explain AI concepts to non-technical stakeholders.
  • Experience with big data tools (Hadoop Hive PySpark) and ML pipelines.
  • Bonus: Experience in Google Analytics Adobe Analytics or digital marketing analytics.
  • Bachelors/Masters degree in Computer Science Statistics Math Operations Research or a related field.

What do you get in return

  • Competitive Salary: Your skills and contributions are highly valued here and we make sure your salary reflects that rewarding you fairly for the knowledge and experience you bring to the table.
  • Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly providing the right tools mentorship and experiences to fast-track your career.
  • Idea Tanks: Innovation lives here. Our Idea Tanks are your playground to pitch experiment and collaborate on ideas that can shape the future.
  • Growth Chats: Dive into our casual Growth Chats where you can learn from the best whether its over lunch or during a laid-back session with peers its the perfect space to grow your skills.
  • Snack Zone: Stay fueled and inspired! In our Snack Zone youll find a variety of snacks to keep your energy high and ideas flowing.
  • Recognition & Rewards: We believe great work deserves to be recognized. 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: Were all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.

Apply Now!


Remote Work :

No


Employment Type :

Full-time

Employment Type

Full-time

Company Industry

About Company

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