Zelestra is hiring for an fresher entry level Junior Data Scientist role in India

Position:

• Junior Data Scientist

Company:

• Zelestra

Location:

• Gurugram, India

Job type:

• Full-time

Job mode:

• Hybrid (2 days remote work per week)

Job requisition id:

• JR2212

Years of experience:

• 0 to 2 years

Company description:

• Zelestra, previously known as Solarpack, is a global renewable energy firm focused on large-scale renewable projects.

• Headquartered in Spain, Zelestra has expanded to several regions including Europe, North America, Latin America, Asia, and Africa.

• Backed by EQT, one of the largest investment funds managing $200 billion in assets.

• The company designs customized solutions to support clients in achieving their decarbonization targets.

• Recognized as one of the top 10 global suppliers of clean energy to corporate clients by Bloomberg NEF.

• Zelestra emphasizes creating economic value and quality employment, while also initiating social development projects in its communities.

• The company combines technical expertise with social responsibility, ensuring each project contributes positively to society and the environment.

• With a strong commitment to innovation, Zelestra integrates digital solutions to support its mission of sustainability.

• They foster a culture of growth, inclusivity, and diversity, embracing different perspectives to achieve collective success.

• Employees are encouraged to develop professionally and to participate actively in making a global impact through renewable energy.

Profile overview:

• This role is ideal for individuals passionate about data science and sustainability.

• As a Junior Data Scientist, you will be part of a team focused on improving the performance of solar and wind energy assets.

• You will contribute to developing advanced Asset Performance Management systems.

• Collaboration is key, as you will work with senior scientists and engineers to drive data-driven decisions.

• Your work will include developing predictive models, handling large datasets, and creating impactful data visualizations.

• The position also involves integrating cutting-edge technologies like large language models and image-based modeling.

• You’ll be expected to participate in all stages of model development and deployment, ensuring they meet operational and strategic needs.

• This role provides a chance to apply your analytical skills to real-world energy challenges and support a greener planet.

• You’ll be part of a dynamic environment that values experimentation and innovation.

• The position offers a unique chance to contribute to sustainable energy solutions and technological advancement.

Qualifications:

• 0 to 2 years of experience in data science or related roles, with an emphasis on time-series forecasting.

• Proficiency in programming languages such as Python or R.

• Familiarity with data visualization tools like Power BI or Tableau to present insights effectively.

• Experience in building and deploying time-series models, with the ability to refine and enhance them.

• Knowledge of machine learning libraries like TensorFlow, PyTorch, or Scikit-learn.

• Comfortable using version control tools like Git for collaborative work.

• Understanding of cloud environments such as AWS and Azure for data storage and processing.

• Familiarity with data lakes and cloud storage solutions like AWS S3 or Azure Blob.

• Strong interpersonal skills to work effectively in multidisciplinary teams.

• Ability to translate technical data into actionable business strategies.

Additional info:

• You’ll be working in a diverse and inclusive environment where your voice matters.

• Flexible work arrangements support a healthy work-life balance, including remote work options twice a week.

• The company invests in employee growth through learning and career development programs.

• Your work will directly impact how renewable energy assets are managed and optimized.

• Zelestra values employees’ well-being, offering competitive compensation and growth opportunities.

• You’ll join a collaborative team that encourages sharing ideas and continuous learning.

• Social responsibility is a cornerstone of the company, with initiatives that extend beyond economic value to societal contributions.

• The role is part of a broader effort to transform energy markets and support decarbonization.

• As part of Zelestra, you will help shape the future of energy while advancing your professional journey.

• Join a company where innovation, sustainability, and community impact come together.

Responsibilities:

• Develop, test, and deploy time-series models to forecast performance for solar and wind assets.

• Build models that predict equipment health and maintenance needs, ensuring optimal asset management.

• Collaborate with senior scientists to refine models and improve predictive accuracy.

• Utilize large language models to generate new solutions for asset performance.

• Create visual models using satellite and drone imagery to identify ways to optimize performance.

• Design dashboards and data visualizations with tools like Amazon QuickSight and Power BI.

• Communicate insights through clear visual stories that guide decision-making.

• Manage large datasets from renewable energy assets stored on AWS S3 and Azure Blob.

• Work with version control systems like Git and GitHub to maintain code integrity.

• Deploy models on cloud-based platforms and establish performance monitoring pipelines.

• Continuously review model outcomes and make adjustments as needed.

• Collaborate with engineering and data teams to ensure smooth project execution.

• Apply your technical skills to real-world challenges, making an impact on renewable energy operations.

• Contribute to a culture of experimentation and learning, embracing new technologies and methods.

• Support the company's mission to deliver reliable, clean energy solutions through innovation.

Please click here to apply.