Sigmoid Analytics - Associate Director - Data Science & Artificial Intelligence

Leadership Position in Data Science and AI

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source.

• Some of the world's largest data producers engage with Sigmoid to solve complex business problems.
• Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps.
• Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.
• Offices: New York | Dallas | San Francisco | Lima | Bengaluru
• The below role is for our Bengaluru office.

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 and 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 and 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.
• 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 and 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 skill.

Director: Data Science and AI