Lead Data Scientist

As a Data Science Leader in the Clean Energy domain, you will play a crucial role in driving innovation and creating measurable business value through data science and analytics. Your responsibilities will include: - Leading the data science team to ensure alignment with business strategy and delivery of high-impact analytics use cases. - Partnering with business leaders to identify risks, optimization opportunities, and data-driven interventions. - Designing, developing, and deploying advanced analytics, machine learning, and predictive models using structured and unstructured data. - Overseeing the development and utilization of big data platforms to support clean energy analytics at scale. You will be accountable for: - Tracking operational performance against analytical models and monitoring KPIs related to production efficiency, safety, environmental compliance, and cost optimization. - Identifying, monitoring, and quantifying operational, safety, and environmental risks using advanced analytics techniques. - Driving the adoption of a data science culture across business units. - Managing external analytics partners, vendors, and research collaborators. - Building and developing data science talent through recruitment and mentoring. - Leading the formulation and optimization of algorithms supporting clean energy products and services. Skills required for this role: - High proficiency in programming and scripting languages such as SQL, Python, or similar technologies. - Strong expertise in probability, statistics, machine learning, and optimization techniques. - Experience working with big data platforms and distributed systems. - Hands-on experience with statistical and modeling tools such as SAS, R, and MATLAB. - Expertise in time-series analysis, anomaly detection, and sensor/operational data analytics. - Strong understanding of data management, databases, and data pipeline architectures. - Excellent documentation, communication, and presentation skills. To be eligible for this position, you should have: - Minimum 9 years of experience in data science, analytics, or advanced modeling roles. - Proven track record of leading high-performing data science teams and delivering measurable business impact. - Demonstrated experience in advanced quantitative analysis and statistical modeling. - Experience leading cross-functional teams in mid-to-large organizations. Preferred educational qualifications include: - Masters degree (MS/M.Tech or equivalent) in Statistics, Engineering, Computer Science, or related fields from a reputed Tier-I institute. - Bachelors degree (B.E./B.Tech/BS or equivalent) in Statistics, Engineering, or related disciplines from a reputed university or college. If you are passionate about driving innovation in the Clean Energy domain and have the required skills and experience, we encourage you to apply by emailing us at the provided address. As a Data Science Leader in the Clean Energy domain, you will play a crucial role in driving innovation and creating measurable business value through data science and analytics. Your responsibilities will include: - Leading the data science team to ensure alignment with business strategy and delivery of high-impact analytics use cases. - Partnering with business leaders to identify risks, optimization opportunities, and data-driven interventions. - Designing, developing, and deploying advanced analytics, machine learning, and predictive models using structured and unstructured data. - Overseeing the development and utilization of big data platforms to support clean energy analytics at scale. You will be accountable for: - Tracking operational performance against analytical models and monitoring KPIs related to production efficiency, safety, environmental compliance, and cost optimization. - Identifying, monitoring, and quantifying operational, safety, and environmental risks using advanced analytics techniques. - Driving the adoption of a data science culture across business units. - Managing external analytics partners, vendors, and research collaborators. - Building and developing data science talent through recruitment and mentoring. - Leading the formulation and optimization of algorithms supporting clean energy products and services. Skills required for this role: - High proficiency in programming and scripting languages such as SQL, Python, or similar technologies. - Strong expertise in probability, statistics, machine learning, and optimization techniques. - Experience working with big data platforms and distributed systems. - Hands-on experience with statistical and modeling tools such as SAS, R, and MATLAB. - Expertise in time-series analysis, anomaly detection, and sensor/operational data analytics. - Strong understanding of data management, databases, and data pipeline architectures. - Excellent documentation, communication, and presentation skills. To be eligible for this position, you should have: - Minimum 9 years