About Sigmoid: Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. The below role is for our Bengaluru office. Director – Data Science Why Join Sigmoid? Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo Vibrant inclusive culture of mutual respect and fun through both work and play Roles and Responsibilities: Convert broad vision and concepts into a structured data science roadmap, and guide a team to successfully execute on it. Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a combination of han
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Role overview
Job description
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Lead, grow, and mentor a high-performing team of data scientists..
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Own all data science systems and models in your charter — from strategy to deployment and monitoring.
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Collaborate with senior product, engineering, and business leaders to define and prioritize impactful AI/ML initiatives.
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Represent Data Science in senior leadership discussions and clearly communicate technical strategies, investment decisions, trade-offs, and business impact.
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Drive platformization, system architecture decisions, and ML lifecycle improvements across the charter.
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Ensure model scalability, performance, and cost efficiency, while upholding best practices in experimentation and statistical rigor.
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Guide the team in reading and implementing state-of-the-art research, and facilitate build vs. buy decisions.
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Lead RCA for critical production issues and improve system observability, documentation, and service uptime.
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Master’s degree (PhD preferred) in Machine Learning, Statistics, Computer Science, or a related quantitative field.
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10+ years of experience in Data Science or Analytics, with at least 6 years of people management experience.
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Strong research background and knowledge of state of art in AI / ML.
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Proven track record of building and deploying ML models in production at scale.
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Experience managing teams of 20+ data scientists and delivering across cross-functional charters.
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Deep expertise in ML algorithms, experimental design, and performance monitoring.
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Strong coding skills (Python, SQL) and familiarity with Big Data technologies like Spark, Hive, or Redshift.
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Ability to translate business needs into technical solutions, prioritize roadmaps, and estimate effort accurately.
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Strong communication and stakeholder management skills with a bias for action and clarity in execution.
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Strong experience in building large scale AI/ML applications for areas such as recommendations systems, ranking, retrieval, search etc
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Experience leading ML initiatives in B2C or e-commerce settings.
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Contributions to internal tools, open-source libraries, or research publications.
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Strong understanding of ML system performance trade-offs — latency, cost, and throughput.
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Top tier research Publications in the areas of AI and ML, especially in recsys, IR and knowledge discovery.
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What they are looking for
Skills & requirements
Qualification
What You Will Need Master’s degree (PhD preferred) in Machine Learning, Statistics, Computer Science, or a related quantitative field; 10+ years of experience in Data Science or Analytics, with at least 6 years of people management experience
Department · Tech
Hiring company
meesho
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