Data Scientist

About Company

Founded in 2011, ReNew, is one of the largest renewable energy companies globally, with a leadership position in India. Listed on Nasdaq under the ticker RNW, ReNew develops, builds, owns, and operates utility-scale wind energy projects, utility-scale solar energy projects, utility-scale firm power projects, and distributed solar energy projects. In addition to being a major independent power producer in India, ReNew is evolving to become an end-to-end decarbonization partner providing solutions in a just and inclusive manner in the areas of clean energy, green hydrogen, value-added energy offerings through digitalisation, storage, and carbon markets that increasingly are integral to addressing climate change. With a total capacity of more than 13.4 GW (including projects in pipeline), ReNew's solar and wind energy projects are spread across 150+ sites, with a presence spanning 18 states in India, contributing to 1.9 % of India's power capacity. Consequently, this has helped to avoid 0.5% of India's total carbon emissions and 1.1% India's total power sector emissions. In the over 10 years of its operation, ReNew has generated almost 1.3 lakh jobs, directly and indirectly. ReNew has achieved market leadership in the Indian renewable energy industry against the backdrop of the Government of India's policies to promote growth of this sector. ReNew's current group of stockholders contains several marquee investors including CPP Investments, Abu Dhabi Investment Authority, Goldman Sachs, GEF SACEF and JERA. Its mission is to play a pivotal role in meeting India's growing energy needs in an efficient, sustainable, and socially responsible manner. ReNew stands committed to providing clean, safe, affordable, and sustainable energy for all and has been at the forefront of leading climate action in India.

Job Description

As a Senior Data Scientist, you will be responsible for providing simple and intuitive solutions to the most complex problems in renewable industry. This will involve building machine learning and deep learning models which are coupled with contextual business knowledge. You will also use both management experience and data science expertise to lead analytics projects and mentor junior data scientists. You will be an integral part of conceptualizing, scoping and delivering complex analytics projects. Youwill do and oversee the development, testing and maintenance ofanalytical models which mimic business decisions. You will work with a world-class team of site managers, subject experts, data engineers and data scientists to build the next generation data-driven renewable company. Additionally, you will be responsible for continuously identifying opportunities to improve the ways of working and structuring within the analytics center of excellence.

Roles and Responsibilities

1. Implement data science solutions which may involve machine learning or data science techniques to increase and optimize outputs
2. Assess the effectiveness and accuracy of data sources and data gathering techniques
3. Manage analytics strategy across multiple use cases
4. Provide analytical expertise in the process of model development, refining and implementation in a variety of analytics problems spread across a variety of domains
5. Oversee and mentor large team of associate and junior-level data scientists, de-bottlenecking issues related to project execution
6. Work closely with translators and business teams to develop and implement analytics solutions
7. Collaborate with the engineering team to integrate data science solutions into production environments and deploy scalable solutions
8. Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner
9. Acquire extensive knowledge of renewables industry practices and implement tailor made techniques to solve problems relevant to the same
10. Promote a culture of continuous learning, sharing knowledge, and staying up-to-date with emerging technologies and best practices in data science

Profile & Eligible Criteria

1. Bachelor's in Computer Science, Data Science, Statistics, Mathematics, or a related field. Master's degree preferred
2. Proven experience of 4-6 years as a Data Scientist or in a similar role, with a strong track record of delivering successful data science projects
3. Sound theoretical and practical knowledge of working in statistical analysis, machine learning techniques, and deep learning frameworks with solid of understanding of techniques related to regression, classification, NLP, Computer Vision, Generative AI
4. Proficiency in Python is a must. Proficiency in SQL for data manipulation is a plus
5. Worked in developing analytics solutions in 3-4 domains
6. Excellent communication skills to effectively manage a team and collaborate with stakeholders in cross-functional teams

Communication skills:

• Basic level of articulation of theoretical concepts
• Ability to communicate with cross functional roles is a plus

Teamwork:

• Displays ability to work both as an individual and as a self-motivated team player
• Has worked in large teams with an agile setup in the past