ReNew Power : Data Scientist

Brief Description of position:

About the organization

Founded in 2011, ReNew Power is a leading renewable energy company in India and 10th largest in terms of operational capacity, globally. A Nasdaq listed company under 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. With a total capacity of more than 10GW (including projects in pipeline), ReNew Power’s solar and wind energy projects are spread across 110+ sites, with a presence spanning 8 states in India, contributing to 1.4% 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 10 years of its operation, ReNew Power has generated almost 1 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 Goldman Sachs, CPP Investments, Abu Dhabi Investment Authority, 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 Power is committed to providing clean, safe, affordable, and sustainable energy for all and has been at the forefront of leading climate action in India.

Your Opportunity

ReNew Power is World’s first renewable energy company to be recognized as a Lighthouse by World Economic Forum. The company has been recognized for adoption of 4 IR technologies to achieve growth that is not only profitable, but also sustainable. ReNew Digital (“ReD.) has been instrumental in this. ReD. consistently work towards development of new advance analytic, AI and machine learning models that could lead to tangible business value to the organization.

As a Data Scientist in ReD, you will be responsible for providing simple and intuitive solutions to the most complex problems in renewables industry. This will involve building machine learning and deep learning models which are coupled with contextual business knowledge. You will work with a worldclass team of site managers, subject experts, data engineers and data scientists to build the next generation data-driven renewable company. Further responsibilities will include

  • Implement data science solutions which may involve machine learning or data science techniques to increase and optimize outputs
  • Acquire extensive knowledge of renewables industry practices and implement tailor made techniques to solve problems relevant to the same
  • Assess the effectiveness and accuracy of data sources and data gathering techniques
  • Work closely with business and site teams to identify opportunities for leveraging data to drive business solutions
  • Create data trails to monitor pre-define KRAs and work relentlessly to improve them

Our Ideal candidate -

  • Good programming and logical skills
  • Working knowledge of R or Python programming language. Exposure to distributed and cloud computing is a plus
  • Knowledge of statistical approaches, incl. advanced machine learning techniques (e.g. Linear Regression, Logistic regression, Generalized Linear Model, Sampling Techniques, Time Series Analysis, Decision trees, Clustering, Principal Component Analysis, Factor Analysis, CART, Random Forest, Support Vector Machine, Gradient Boosting, XGBoost, Neural Networks, multivariate analysis, stochastic models, and sampling methods) and/or optimization
  • Excellent verbal and written communication skills
  • Ability to learn and implement new technologies quickly
  • Ability to uncover data trends to gain insights about expected behaviour and perform actions accordingly (prescriptive analytics)
  • Strong critical thinking and problem-solving skills with an analytical mind-set and go-getter attitude

Programming skills –

  • Basic knowledge of at least 1 programming language - Python or R
  • Algorithms – Theoretical knowledge of at least 3-4 algorithms
  • Hands on implementation – Developed at least 1-2 models

Functional/ Domain expertise -

  • Worked for at least 2+ years as part of an analytics team responsible for model building and deployment

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

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