Business Description:
Renewance Inc. is a pioneering technology company that provides cradle-to-grave stewardship solutions for industrial batteries in the energy and motive industries. Our innovative RenewanceConnect product is a cloud-based software platform designed to optimize service transactions. Our comprehensive services encompass asset management (monitoring, operations & maintenance), battery commissioning, battery decommissioning, warranty management, regulatory compliance, and a marketplace facilitating used batteries' transactions after being graded by Renewance.
Job Description:
Renewance is seeking a talented and experienced Data Scientist to join our engineering team. The ideal candidate will be responsible for developing machine learning tools integrated with RenewanceConnect. These tools will provide educated guidance on all aspects of battery life cycle management, leveraging both internal and external data sources.
Responsibilities:
Model Development:
• Develop, train, and refine machine learning models using internal and external data sources.
• Implement natural language processing (NLP) techniques to enable chatbots to interact effectively with users.
• Ensure models are optimized for accuracy, performance, and scalability.
Data Management:
• Collect, clean, and preprocess data from various sources, including internal databases, external APIs, and public datasets.
• Create and maintain data catalogs for efficient data access and management.
• Ensure data integrity and compliance with regulatory standards.
Integration and Deployment:
• Work closely with the engineering team to integrate machine learning models into the RenewanceConnect platform.
• Monitor and evaluate the performance of deployed models, making necessary adjustments and improvements.
Collaboration:
• Collaborate with cross-functional teams, including product managers, software engineers, and business analysts, to understand user requirements and deliver effective solutions.
• Provide training and support to internal teams on how to use and leverage the machine learning tool.
Research and Innovation:
• Stay up to date with the latest advancements in machine learning and data science.
• Propose and implement innovative solutions to improve battery life cycle management processes.
Requirements:
• Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
• Proven experience as a Data Scientist, preferably with experience in the energy or battery industry.
• Strong proficiency in machine learning frameworks (e.g. XGBoost, PyTorch, TensorFlow) and Python.
• Experience with NLP and chatbot development.
• Familiarity with cloud platforms (e.g., AWS) and data management tools.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.
Benefits:
• Annual Bonus
• Paid Time Off (PTO): Enjoy 15 days of paid time off annually to recharge and relax.
• 401(k): While we currently do not offer matching, our 401(k) plan provides a valuable savings opportunity for your retirement.
• Insurance Plans: Basic Life, Accidental Death & Dismemberment (AD&D), Short-term Disability, Long-term Disability
• Health Plans: Choose between our Preferred Provider Organization (PPO) plan or opt for a Health Savings Account (HSA) plan that suits your needs.
• Dental and Vision Plans: Access comprehensive dental and vision coverage to ensure your overall well-being.
Renewance is an equal-opportunity employer and values diversity in the workplace. We encourage candidates from all backgrounds to apply. If you are passionate about shaping the future of sustainable energy solutions and possess the skills and experience outlined above, we invite you to join our team and contribute to the success of Renewance.
To apply, please submit your resume detailing your relevant experience and why you are an ideal candidate for the Data Scientist / Machine Learning Engineer position at Renewance.
Location: United States
Posted: Aug. 8, 2024, 11:42 p.m.
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