Senior Data Science Engineer (6-12 yrs)

About Smart Helio :

"Are you ready to leverage your data science expertise to make a real impact on the planet?"

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 significant contribution to clean tech and environmental sustainability.

We are at the forefront of the clean energy transition, using advanced AI, Machine Learning, IoT, and climate modeling to enhance energy market efficiency and sustainability.

As a Senior Data Science Engineer, you will play a pivotal role in designing, implementing and optimizing our data-driven solutions, contributing directly to our mission of making solar and wind energy greener and more efficient.

Roles and Responsibilities :

- Design, build, and optimize data pipelines for cleaning, processing, and feature extraction from large datasets and live data streams.

- Design, develop, deploy, and maintain ML models and data analytics services.

- Collaborate closely with Data Scientists/Engineers and Software Engineers to integrate Models and data analytics services with cloud-based systems.

- Design and Build necessary infrastructure/stack to facilitate smooth and reliable functioning of analytics and other data processing services.

- Support cross-functional teams by providing technical expertise and insight into complex data-driven challenges.

- Closely work with the Data Scientists/Analysts/domain experts and supervise/assist them on activities related to data analytics services/solutions design, development, and deployment.

- Provide technical support and required supervision wherever necessary.

- Maintain thorough documentation for models, data processes, data services design decisions, and algorithmic decisions, etc.

- Provide mentorship to junior data science team members, fostering a collaborative and innovative team environment.

Qualification :

- 6+ years of dedicated professional experience in data science/analytics/engineering, with a dedicated focus on production-level model development and deployment for scalable real-world data/analytics solutions/platforms.

- Strong understanding of ETL processes, data warehousing, and pipeline design for high quality data management.

- Proven working experience in DevOps and MLOps, with hands-on experience in CI/CD for data, analytics, and ML pipelines.

- Proficiency in Python, SQL, Time-series databases, and MongoDB with extensive hands-on experience in production-grade Machine/Deep Learning libraries/methodologies/models and data engineering tools.

- Proven development work experience with AWS cloud service and high-level proficiency in using cloud tools or services.

- Solid understanding and proven experience in statistical methods/modeling, machine/deep learning, data preprocessing, and feature engineering.

- Solid understanding of deep learning architectures relevant to time-series data analysis.

- Solid understanding and proven work experience in database/data pipeline design, engineering, deployment, and maintenance.

- Willingness to work in a fast-paced, high-growth environment

- Experience with backend development frameworks (Fast API, Django, Flask, Node.Js,etc.) for deploying data services.

Nice to have :

- Working knowledge of big data technologies (e., Spark, Hadoop) for scaling ML and data- processing tasks.

- Experience with frontend development frameworks for visualization (React, etc.)

Compensation & Benefits :

- A highly competitive salary as per the market standard.

- A comprehensive benefits package that includes full health, dental, and accidental insurance, and family well-being bonuses to ensure your well-being and financial security.

- Additional ESOPs and performance bonuses based on the candidate's performance.

- Opportunity to work in an international environment.

- Opportunity to explore frontier tech sectors cleantech (solar, storage, electric vehicles, smart grid, etc.), Artificial Intelligence, Cloud computing, and IoT and create a sustainable impact through your innovations and efforts.

- 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.

- Opportunity to work in the emerging climate-tech space and contribute positively toward our future generations and planet.

- The high degree of empathy