Job Summary

Startup Inno is seeking a highly motivated and impact-driven Data Scientist – Sustainability & Renewable Energy Models to join our growing analytics and innovation team. In this role, you will design, develop, and deploy advanced data-driven models that support renewable energy systems, sustainability strategies, and climate-focused decision-making. You will work at the intersection of data science, environmental science, and engineering to help organizations optimize energy production, reduce carbon footprints, and drive sustainable business outcomes.

This is a unique opportunity for a data scientist who is passionate about using analytics and machine learning to solve real-world environmental challenges and contribute directly to global sustainability goals.

Key Responsibilities

• Design and build predictive and prescriptive models for renewable energy systems such as solar, wind, hydro, and smart grids.

• Analyze large-scale datasets related to energy consumption, weather patterns, emissions, and environmental performance.

• Develop forecasting models for energy demand, supply, and system efficiency.

• Apply machine learning and statistical techniques to optimize energy production and sustainability initiatives.

• Collaborate with sustainability consultants, engineers, and product teams to translate business needs into data-driven solutions.

• Develop dashboards and reports to communicate insights to stakeholders and decision-makers.

• Validate models and ensure robustness, scalability, and performance.

• Continuously monitor and improve deployed models.

• Stay updated on industry trends in renewable energy, ESG metrics, and climate analytics.

Required Skills and Qualifications

• Bachelors or Masters degree in Data Science, Computer Science, Statistics, Engineering, Environmental Science, or a related field.

• Strong programming skills in Python or R; experience with SQL.

• Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.

• Solid understanding of statistical modeling, regression, time series analysis, and forecasting techniques.

• Experience working with large datasets and cloud platforms (AWS, Azure, or GCP).

• Proficiency in data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn.

• Knowledge of sustainability metrics, carbon accounting, or energy systems is a strong advantage.

• Excellent analytical thinking and problem-solving skills.

Experience

• 2–5 years of experience in a Data Scientist, Data Analyst, or similar role.

• Prior experience in energy, utilities, sustainability, environmental analytics, or climate tech is highly preferred.

• Experience in building and deploying machine learning models in production environments.

• Exposure to IoT, sensor data, or geospatial data is a plus.

Working Hours

• Full-time position.

• Standard business hours with flexibility depending on project needs.

• Remote or hybrid work options may be available depending on location and team requirements.

Knowledge, Skills, and Abilities

• Strong understanding of data pipelines, ETL processes, and data governance.

• Ability to translate complex technical concepts into business-friendly insights.

• High attention to detail and data accuracy.

• Strong communication and stakeholder management skills.

• Passion for sustainability, renewable energy, and climate impact.

• Ability to work independently as well as in cross-functional teams.

• Innovative mindset with a continuous learning attitude.

Benefits

• Competitive salary and performance-based incentives.

• Flexible working arrangements (remote/hybrid options).

• Health insurance and wellness programs.

• Professional development and learning budget.

• Opportunity to work on high-impact sustainability projects.

• Inclusive and collaborative work culture.

• Career growth opportunities in a fast-growing innovation-driven company.

Why Join Startup Inno?

At Startup Inno, we believe technology and data can accelerate the transition to a more sustainable future. By joining us, you will be part of a mission-driven organization that values innovation, social responsibility, and real-world impact. You will work on cutting-edge projects that directly contribute to renewable energy adoption and climate action, while growing your career in one of the most meaningful and future-oriented domains.

How to Apply

Interested candidates are encouraged to submit their updated resume along with a cover letter highlighting their experience in data science and interest in sustainability and renewable energy. Please include links to relevant projects, GitHub repositories, or portfolios showcasing your analytical work.