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Lead Data Scientist for Predictive Solar Energy Solutions
4 weeks ago
We are seeking a highly skilled Lead Data Scientist to join our team at SmartHelio, a pioneering company in the clean energy sector. In this role, you will be responsible for designing and implementing data-driven solutions to enhance energy market efficiency and sustainability.
About the Role
This is an exceptional opportunity for a motivated and experienced Data Scientist to take on a leadership position and make a significant impact in the field of predictive solar energy. As a Lead Data Scientist, you will play a crucial role in developing and deploying machine learning models, data analytics services, and other data-driven solutions that support our mission to make solar and wind energy greener and more efficient.
Responsibilities
- Design, build, and optimize data pipelines for cleaning, processing, and feature extraction from large datasets and live data streams.
- Develop and deploy machine learning models and data analytics services to drive business value and improve operational efficiency.
- Collaborate with cross-functional teams to integrate ML models and data analytics services with cloud-based systems.
- Design and develop necessary infrastructure/stack to facilitate smooth and reliable functioning of analytics and other data processing services.
- Provide technical expertise and insight into complex data-driven challenges and support cross-functional teams.
What We Offer
- A competitive salary of $120,000 - $180,000 per annum, depending on experience.
- A comprehensive benefits package, including full health, dental, and accidental insurance, family well-being bonuses, and performance bonuses based on individual performance.
- Opportunities to work with top global tech researchers and collaborate on cutting-edge projects in climate-tech.
- A high degree of autonomy and mentorship to help you grow professionally and personally.
- Ample opportunities to learn and grow professionally, including regular workshops and training sessions.
Requirements
- 6+ years of dedicated professional experience in data science/analytics/engineering, with a focus on production-level model development and deployment.
- 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.
- High-level proficiency in using cloud tools or services, such as AWS.
- Solid understanding and proven experience in statistical methods/modeling, machine/deep learning, data preprocessing, and feature engineering.
How to Apply
If you are a motivated and experienced Data Scientist looking for a new challenge, please submit your application through our website or LinkedIn profile.
