About the Role
Adani AI Labs is seeking a Principal Data Scientist to lead and develop the Data Science competency within the lab. This role offers a unique opportunity to contribute creative approaches to problem-solving using diverse and complex data from various Adani Business Units across sectors like Energy, Airport, Port & Logistics, Cyber Security, E-Commerce, and FMCG. The Principal Data Scientist will be challenged with continuous availability of exciting AI Use cases and will experience tremendous growth in a business-facing, fast-paced, agile environment.
You will collaborate with other Principals and teams of AI Architects, Data Engineers, ML Engineers, and Solution Managers. Your contributions will directly support the ambitious growth journey of Adani AI Labs by processing large datasets and analyzing them for the discovery of data patterns and trends. The ideal candidate thrives on learning, data, scale, and agility, leveraging strong collaboration skills to extract valuable insights from highly complex data sets, asking the right questions, and finding the right answers.
Responsibilities
- Define processes for creating data science solutions and use advanced analytics to support the Adani AI Lab Team.
- Mentor the Data Science Team to address data science solution requirements.
- Drive evangelization of data sciences across the organization by communicating the use cases of advanced analytics.
- Track industry trends, drive data standards and best practices, and leverage the latest industry technologies to increase the efficiency of Data Science prototypes.
- Ensure that AI solutions create measurable business value (aligned with business objectives of asset utilization, employee engagement, customer engagement, and business modelling) and generate actionable business insights.
- Collaborate with the solution management, data engineering, ML engineering, and AI Architect teams to create and drive the solution roadmap.
- Create statistical models from abstract business use cases.
- Drive the data science practice by setting SMART goals and drive delivery of the data science component of AI solutions and implementation of statistical Models.
- Actively identify and resolve strategic data issues that may impair the team’s ability to meet strategic, scientific, and technical goals.
- Present the results of data science prototypes before non-technical members (e.g., Business Teams) of the organization through presentations and immersive storytelling.
- Collaborate with Business Data Analyst, AI Champion, and Solution Managers to define business requirements and fulfil solution data requirements.
- Collaborate with Data Engineer, ML Engineers, AI Architects, and Solution Managers to create DL and statistical models.
- Build Capacity and capability for the Data Scientist function.
- Nurture a high-performance culture.
Qualifications
- At least 12 - 15 years' of experience in Artificial Intelligence, Data Science, or related Fields.
- B.E/B.Tech and M.E./M.Tech (IT/Computer Science/Data Science).
- M.Sc./M.A. in Data Science/Economics/Statistics.
- PhD in an AI discipline (preferred).
- Deep understanding of applied statistical analysis and predictive modelling, including regression, SVM, Tree, Random Forests, Boosting, Neural Network, clustering, forecasting, and pattern analysis.
- Strong know-how of data exploration techniques, such as mean-variance, k-means, nearest-neighbour, outlier techniques, and correlating anomalous sequences of events.
- Extensive know-how of Python /R and in object-oriented programming languages with high code quality.
- Passionate about applying emerging DL/ML frameworks to solve business problems and comfortable in a dynamic, fast-paced environment.
- Proficiency with data mining, applied mathematics, and statistical analysis.
- Ability to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Ability to articulate data-driven insights in a business context.
- Ability to convert use cases into solvable problem statements and define solution roadmap.