Director Data Science

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 hands-on contribution, technical team management, and client interaction. • Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights • Contribute to internal product development initiatives related to data science. • Drive excellent project management required to deliver complex projects, including effort/time estimation. • Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy • Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects • Manage the team-members, to ensure that the project plan is being adhered to over the course of the project • Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Mandated Skills: • A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject • 15+ overall experience with 12+ years of hands-on experience in applied Machine Learning, AI and analytics • Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) • Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. • Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts and experience in developing models and solutions in these areas • Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Desired Skills: • Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems. • Comfortable with large scale data processing and distributed computing • Providing required inputs to sales, and pre-sales activities • A self-starter who can work well with minimal guidance • Excellent written and verbal communication skills Note: By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.