Interested candidates, kindly mail to [Confidential Information]
Main Purpose:
- Lead innovation in Clean Energy 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, environment, and cost.
- Identify, monitor, and quantify operational, safety, and environmental risks using advanced analytics.
- Drive adoption and evangelization of 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.
- Define scope, design, and implementation of ML/AI models to support initiatives such as predictive maintenance, anomaly detection, optimization, and forecasting.
- Lead 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 with internal teams, leadership, and stakeholders at all levels.
Skills Required:
- High proficiency in programming and scripting languages such as SQL, Python or similar.
- Strong expertise in probability, statistics, machine learning, experimental design, and optimization techniques.
- Experience working with big data platforms and distributed systems (Hadoop ecosystem).
- Hands-on experience with statistical and modeling tools such as SAS, R, MATLAB, Statistical 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 pipelines.
- Excellent documentation, communication, and presentation skills.
Experience Required:
- Minimum 9 years of experience in data science, analytics, or advanced modeling roles, preferably at Senior / Leadership level.
- Proven track record of leading high-performing data science teams 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:
- Master's / MS in Statistics, Engineering, Computer Science, or equivalent from a reputed Tier-I institute (desirable).
- Bachelor's / BS in Statistics, Engineering, or equivalent from a reputed university/college.
Interested candidates, kindly mail to [HIDDEN TEXT]
