Director – Data Science

15 hours ago

Bengaluru, India foundit Full time

Job Description Job Title: Director Data Science Location: Bangalore Experience: 8+ years Job Details: We are seeking a highly experienced and strategic Director Data Science to lead our data science organization. The role requires a visionary leader who can design, build, and scale advanced data solutions to drive business growth, product innovation, and operational excellence. Educational Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field from a top-tier engineering college is required. Must have Technical Skills: - 8+ years of professional experience in Data Science/ML/AI, with at least 3 years in a leadership/people management role. - Proven expertise in statistical modeling, machine learning, deep learning, NLP, and data mining. - Strong experience with Python, R, SQL, Spark, TensorFlow, PyTorch, and big data ecosystems. - Hands-on experience in building and deploying large-scale ML models in production. - Exceptional leadership, communication, and stakeholder management skills. - Ability to translate complex data insights into clear, actionable business strategies. - Strong understanding of cloud platforms (AWS, Azure, GCP) and modern data stack. - Advanced degree (Master's/Ph.D.) in Computer Science, Data Science, Mathematics, Statistics, or related field. Key Responsibilities: - Define and drive the overall data science vision, strategy, and roadmap aligned with organizational goals. - Lead and mentor a high-performing team of Data Scientists, ML Engineers, and Analysts. - Design and implement end-to-end machine learning and AI solutions, from data exploration to deployment. - Collaborate with C-suite executives, product leaders, and engineering teams to translate business needs into data-driven insights and strategies. - Drive innovation in NLP, recommendation systems, predictive analytics, computer vision, and generative AI to enhance products and services. - Establish best practices for data governance, model validation, and ethical AI adoption. - Own and deliver measurable outcomes, including revenue growth, cost optimization, and customer engagement improvements. - Stay updated with emerging technologies, tools, and trends to ensure continuous innovation.

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