Data Scientist - Entry-Level

Are you willing to contribute your skills to have an impact on the planet and accelerate the clean energy transition ?

Come join SmartHelio, a Y-Combinator-backed deep-tech company based in Switzerland, USA, and India, recognized as “Best for the world” by B-Corporation Institute for its high contribution to the clean tech & environment .

At SmartHelio, we are at the forefront of revolutionizing the energy sector in response to the pressing challenges of climate change. With cutting-edge technology, including Artificial Intelligence, Machine Learning, Edge Computing, IoT, and Advanced Climate Modelling, we are driving the widespread adoption of clean and sustainable energy. Our mission is to transform solar and other clean tech into truly green and sustainable powerhouses while enhancing energy market efficiency. Discover more about our groundbreaking work at

As a Data Scientist specializing in time-series data analytics at SmartHelio, you will be responsible for analyzing large time-series data sets, developing and implementing models, and generating meaningful insights for our clients. In addition, you will have the opportunity to work on global climatic models, weather, and meteorological data to develop accurate weather forecast models.

• Design and Develop analytics models and functionalities to generate meaningful insights (diagnostics, prognostic, prescriptive) for PV and BESS Asset operators/managers.
• Analyze large time-series data sets to identify patterns, trends, and anomalies.
• Build, test/validate ML/Deep learning or isolated physics-informed models for time-series data analytics.
• Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
• Work on global climatic models, and meteorological data and develop weather forecasts.
• Apply statistical analysis and hypothesis testing techniques to validate/optimize models.
• Implement iterative development processes to refine/improve data analytics models.
• Stay updated with the latest advancements in time-series data analytics, machine learning, and deep learning techniques.

Qualifications

• Bachelor\’s/Master\’s degree in Computer Science/Data Science/Statistics, or a related field.
• Minimum of 1 year of proven experience – in building machine learning and deep learning models for time-series data analytics.
• Strong proficiency in Python and its data science libraries like NumPy, Pandas, Statsmodels, and TensorFlow.
• Familiarity with time-series analysis techniques, including PyCaret, GluonTS, TensorFlow Probability, ARIMA, LSTM, and Prophet.
• Experience with data preprocessing, feature engineering, and model evaluation for time-series data.
• Proficiency in linear/non-linear modeling, statistical analysis, and hypothesis testing.
• Strong problem-solving skills and the ability to work independently or as part of a team.
• Excellent communication and presentation skills to convey complex concepts to both technical and non-technical stakeholders.
• Competitive salary package based on qualifications and experience. (CHF 70k-95k) + ESOPS + Bonus
• Health insurance and other benefits as per company policy.
• Opportunities for professional development and career growth.
• A collaborative and dynamic work environment with a focus on innovation.
• Opportunity to work with Swiss and European Research Institutions and closely collaborate with top global tech researchers.
• Ample opportunities to learn and grow professionally. We conduct monthly professional & personal productivity workshops.
• Conceptualize, write, and live your own startup story with full autonomy and under brilliant mentorship.

How to Apply

Please submit your interest email along with your latest CV to us at and Fill out the forms (Application submission form: AND Preliminary Assessment Form:

Application:

Data Scientist – Entry-Level

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When can you join, if selected? * Immediately One Month Two Months

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