Data Science Manager

5 - 9 years

0 Lacs

Posted:2 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Manager Data Science at a global powerhouse in the food & beverage industry, you will play a pivotal role in influencing business-critical decisions at scale through digital transformation, advanced analytics, and AI-driven decision-making. Your primary responsibility will be to lead high-impact modeling and machine learning initiatives, mentor a team of data scientists, and collaborate with cross-functional stakeholders to translate data into business value. This role will require a combination of strategic thinking, hands-on model development, experimentation, and innovation. Key Responsibilities: - Lead and mentor a team of data scientists working across agile pods - Develop predictive models using ML/AI techniques such as Python and R - Create scalable, interpretable, and production-ready models - Collaborate with business teams to identify opportunities and deliver actionable insights - Analyze large datasets to extract deep business intelligence - Drive best practices in analytics, modeling, and experimentation - Effectively communicate complex concepts to non-technical stakeholders - Keep abreast of the latest trends in ML, AI, big data, and cloud innovations Qualifications Required: - Minimum 5 years of experience in applied data science - Proficiency in ML/AI techniques using Python and R - Strong SQL skills and a solid foundation in statistics - Experience in collaborating with stakeholders and problem-solving - A mindset focused on innovation, experimentation, and building solutions - Knowledge of Digital Twin, Production/Capacity Optimization Additional Details: - Location: Ahmedabad (Work from Office) - Experience: 7-12 Years - Salary: Best in the industry (negotiable) Desired Qualifications: - Master's degree in a quantitative field - Previous leadership experience would be advantageous - Exposure to tools like Snowflake, Spark, and Azure - Familiarity with Agile methodologies - Proficiency in advanced modeling techniques such as DOE, ANOVA, optimization, and simulation If you are eager to lead, innovate, and scale future-ready data science solutions, this opportunity is tailor-made for you.,

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