Data Science Innovation Lead
1 week ago
Discoveries Quintessential is a fast-growing deep-tech company at the forefront of clean energy innovation, leveraging cutting-edge AI, Machine Learning, IoT, and advanced climate modeling to enhance energy efficiency and sustainability.
About the Role:
- We are seeking a highly experienced Data Science Innovation Lead to join our mission-driven team and drive the design and deployment of data-driven solutions that make solar and wind energy greener and more efficient.
- The successful candidate will have a strong background in production-level model development, scalable solutions, and ETL processes, with expertise in Python, SQL, time-series databases, MongoDB, and machine learning tools.
- You will collaborate with cross-functional teams to integrate data solutions into cloud-based systems, build infrastructure for analytics, and ensure smooth operation of data services.
- In addition, you will provide technical mentorship, foster innovation within the team, and maintain thorough documentation of data processes, models, and algorithms.
Responsibilities:
- Design and optimize data pipelines for large datasets and real-time data streams
- Develop and deploy machine learning models and data analytics services
- Collaborate with cross-functional teams to integrate data solutions into cloud-based systems
- Build infrastructure for analytics and ensure smooth operation of data services
- Provide technical mentorship and foster innovation within the team
- Maintain thorough documentation of data processes, models, and algorithms
Requirements:
- 6+ years of professional experience in data science, analytics, or engineering, with a focus on production-level model development and scalable solutions
- Expertise in ETL processes, data warehousing, and pipeline design for high-quality data management
- Proficiency in Python, SQL, time-series databases, MongoDB, and machine learning tools
- Hands-on experience with DevOps, MLOps, and CI/CD for data, analytics, and ML pipelines
- Solid experience with AWS cloud services and backend frameworks like FastAPI, Django, Flask, or Node.js
- Proven knowledge of statistical modeling, deep learning architectures, and feature engineering for time-series data
- Willingness to thrive in a fast-paced, high-growth environment
Nice-to-Have Skills:
- Familiarity with big data technologies (e.g., Spark, Hadoop) and front-end frameworks for visualization (e.g., React)
Benefits:
- Competitive salary: $150,000 - $200,000 per year
- Comprehensive health, dental, and accidental insurance
- ESOPs and opportunities for professional growth
- Collaborate with international teams and global research institutions
- Work on frontier technologies in climate tech, AI, and IoT, contributing to a sustainable future
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