Lead Data Scientist

Interested candidates, kindly mail to [HIDDEN TEXT]

Summary of Role

• Lead innovation in the Clean Energy domain by defining how data science and analytics create measurable business value across operations and decision-making.
• Oversee the data science team, ensuring alignment with business strategy and delivery of high-impact analytics use cases.
• Partner with business leaders and functional heads to identify key risks, optimization opportunities, and data-driven interventions.
• Design, develop, and deploy advanced analytics, machine learning, and predictive models using structured and unstructured data from subsurface, drilling, operational, and monitoring systems.
• Lead the development and utilization of big data platforms to support clean energy analytics at scale.

Job Accountabilities

• Track operational performance against analytical models and monitor KPIs related to production efficiency, safety, environmental compliance, and cost optimization.
• Identify, monitor, and quantify operational, safety, and environmental risks using advanced analytics techniques.
• Drive the adoption of a data science culture across business units through education, communication, and demonstrable use cases.
• Define and manage the data science roadmap, capabilities, and infrastructure in collaboration with Digital and IT teams.
• Manage external analytics partners, vendors, and research collaborators.
• Build and develop data science talent through role definition, recruitment, mentoring, and capability development initiatives.
• Define the scope, design, and implementation of ML/AI models to support initiatives such as predictive maintenance, anomaly detection, optimization, and forecasting.
• Lead the formulation and optimization of algorithms supporting clean energy products, services, and stakeholder outcomes.
• Collaborate with digital leaders to ensure secure, reliable, scalable, and cost-effective analytics infrastructure and operations.
• Ensure effective communication and stakeholder management across internal teams and leadership levels.

Skills Required

• High proficiency in programming and scripting languages such as SQL, Python, or similar technologies.
• Strong expertise in probability, statistics, machine learning, experimental design, and optimization techniques.
• Experience working with big data platforms and distributed systems, including the Hadoop ecosystem.
• Hands-on experience with statistical and modeling tools such as SAS, R, MATLAB, and advanced visualization platforms.
• Expertise in time-series analysis, anomaly detection, and sensor/operational data analytics relevant to clean energy operations.
• Strong understanding of data management, databases (SQL/PL-SQL), and data pipeline architectures.
• Excellent documentation, communication, and presentation skills.

Experience Required

• Minimum 9 years of experience in data science, analytics, or advanced modeling roles, preferably in senior or leadership positions.
• Proven track record of leading high-performing data science teams and delivering measurable business impact.
• Demonstrated experience in advanced quantitative analysis and statistical modeling applied to complex operational environments.
• Experience leading cross-functional teams in mid-to-large organizations.

Preferred Educational Qualification

• Masters degree (MS/M.Tech or equivalent) in Statistics, Engineering, Computer Science, or a related field from a reputed Tier-I institute (preferred).
• Bachelors degree (B.E./B.Tech/BS or equivalent) in Statistics, Engineering, or a related discipline from a reputed university or college.

Interested candidates, kindly mail to [HIDDEN TEXT]