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.