Data Scientist

Company: Exoben Inc.

Location: United States

Job Type: Full-Time

About Exoben:

Exoben Inc. is a global leader in clean energy technology, specializing in the development of advanced lithium and sodium battery systems for electric vehicles (EVs), grid storage, and high-performance applications. As a data-driven company, we are committed to leveraging big data analytics to optimize the performance, efficiency, and sustainability of our battery technologies. Join us at Exoben, where data science plays a pivotal role in improving battery designs, extending product lifecycles, and enhancing manufacturing processes.

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Job Description:

We are seeking a highly skilled and experienced Data Scientist to join our analytics and engineering teams. In this role, you will use big data analytics to optimize battery performance, predict failure modes, and enhance lifecycle management. You will be responsible for analyzing large datasets generated from battery testing, production, and field performance to extract actionable insights that guide design improvements and operational efficiencies. Your work will directly contribute to the optimization of Exoben’s battery systems, leading to longer battery life, reduced costs, and improved sustainability.

This is an exciting opportunity to apply your expertise in data science to cutting-edge energy storage solutions and make a meaningful impact on the future of sustainable energy.

Key Responsibilities:
  • Battery Performance Data Analysis: Analyze extensive datasets generated from battery testing, performance monitoring, and field applications to identify trends, anomalies, and performance indicators. Use statistical methods and machine learning models to optimize battery design and operation.
  • Predictive Maintenance & Failure Mode Prediction: Develop predictive models to forecast battery degradation, identify failure modes, and optimize maintenance schedules. Use data to predict when and how batteries are likely to fail, allowing for proactive intervention and improved product reliability.
  • Lifecycle Optimization: Use data analytics to optimize the lifecycle of batteries, including charge/discharge cycles, energy density management, and thermal behavior. Provide insights to improve battery longevity while maintaining high performance across varied applications.
  • Manufacturing Process Optimization: Collaborate with manufacturing teams to analyze data from production processes. Identify inefficiencies, optimize process parameters, and improve yield and consistency. Use real-time data analytics to ensure quality control and reduce production defects.
  • Battery Design Improvement: Provide data-driven insights to the R&D team to enhance battery designs. Analyze test data to recommend modifications to material composition, cell architecture, or other design elements that improve performance, safety, and efficiency.
  • Machine Learning & AI Implementation: Develop and apply machine learning algorithms to analyze battery performance data, optimize system parameters, and predict future performance under different conditions. Use AI to identify hidden patterns in large datasets that can guide future battery innovations.
  • Thermal & Electrical Behavior Modeling: Analyze data related to the thermal and electrical behavior of battery cells during operation. Identify strategies to improve thermal management, reduce energy losses, and enhance overall battery safety.
  • Data Visualization & Reporting: Create clear and insightful data visualizations, reports, and dashboards to communicate findings to technical and non-technical stakeholders. Present results to R&D teams, management, and external partners, translating complex data into actionable recommendations.
  • Real-Time Monitoring Systems: Design and implement real-time data monitoring systems that track battery health and performance in operational environments. Use these systems to provide continuous feedback for optimizing battery management systems (BMS) and improving product durability.
  • Field Data Integration: Analyze performance data from deployed battery systems in the field to validate lab results, refine predictive models, and optimize designs for real-world conditions.
  • Collaboration with Cross-Functional Teams: Work closely with engineers, battery chemists, production managers, and software developers to integrate data-driven insights into the design, manufacturing, and optimization processes.
  • Continuous Improvement: Identify opportunities for continuous improvement in both the battery production process and performance management by developing new analytical models and optimizing existing ones. Use data-driven approaches to innovate new battery management strategies.
  • Data Infrastructure Development: Collaborate with IT and software teams to design and maintain data storage, collection, and processing systems that ensure the integrity, security, and scalability of Exoben’s data analytics platform.
Qualifications:
  • Educational Background: Bachelor’s degree in Environmental Engineering, Chemical Engineering, Industrial Engineering, or a related field with a focus on sustainable manufacturing and environmental management.
  • Experience: 3+ years of experience in environmental engineering or sustainable manufacturing, preferably in the energy storage, battery, or related industries. Experience in implementing recycling and green manufacturing strategies is highly desirable.
  • Technical Expertise: Strong understanding of sustainable manufacturing practices, lifecycle assessments (LCA), environmental impact assessments (EIA), and waste management techniques. Experience in green chemistry, emissions control, and water conservation strategies.
  • Recycling & Waste Management: Expertise in designing and implementing recycling systems for battery materials and managing hazardous waste. Experience in developing end-of-life management strategies for batteries or electronic products.
  • Environmental Regulations: Deep knowledge of local, national, and international environmental regulations and standards. Proven ability to ensure regulatory compliance in manufacturing and recycling operations.
  • Process Optimization: Proficiency in optimizing manufacturing processes to reduce waste, energy consumption, and emissions. Familiarity with lean manufacturing principles and energy-efficient technologies.
  • Sustainability Reporting: Experience in collecting, analyzing, and reporting environmental performance data. Strong analytical skills with the ability to interpret data and make recommendations for improvement.
  • Collaboration & Communication: Excellent communication and collaboration skills, with the ability to work across multidisciplinary teams and influence internal and external stakeholders. Ability to clearly communicate complex sustainability initiatives to technical and non-technical audiences.
  • Problem-Solving Skills: Strong analytical and problem-solving skills, with the ability to identify environmental risks and implement effective solutions to improve sustainability performance.
  • Project Management: Demonstrated experience in managing environmental projects, including planning, execution, and reporting. Proven ability to deliver projects on time and within budget.
Preferred Qualifications:
  • Advanced Degree: Master’s or PhD in Data Science, Electrical Engineering, Statistics, or a related field, with a focus on energy storage or battery performance optimization.
  • Industry Experience: Extensive experience in the energy storage industry, particularly in the analysis of large datasets generated by battery testing, manufacturing, or field performance.
  • AI & Machine Learning Expertise: Proven experience in deploying AI and machine learning models to optimize battery designs, predict failures, or improve manufacturing processes. Experience with neural networks, reinforcement learning, or other advanced techniques is highly valued.
  • Big Data Platform Expertise: Experience with managing and analyzing large-scale datasets using big data platforms such as Hadoop, Spark, or cloud-based solutions like AWS or Google Cloud.
What We Offer:
  • Competitive Compensation: A competitive salary with a comprehensive benefits package, including health insurance, retirement plans, and performance-based bonuses.
  • Career Development: Opportunities for career advancement and professional development in a fast-growing field. Access to cutting-edge technologies and data analytics resources.
  • Impactful Work: Be part of a team that is shaping the future of energy storage by using data science to optimize battery performance and extend product life. Your work will have a direct impact on Exoben’s mission to develop sustainable, efficient battery technologies.
  • Collaborative Environment: Work in a dynamic and collaborative environment where innovation, creativity, and teamwork are valued. Engage with top-tier talent from multiple disciplines, including engineers, chemists, and technologists.
  • Work-Life Balance: We support a healthy work-life balance and offer flexible working arrangements where applicable.

how to apply:

If you are passionate about using data science to advance battery technologies and energy storage solutions, we encourage you to apply. Submit your resume and a cover letter via Indeed or through our website at www.exoben.com, detailing your experience in big data analytics, battery performance optimization, and predictive modeling.

Exoben Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Join Exoben and use the power of data to drive innovation in sustainable energy storage!

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Exoben Inc., based in Wilmington, Delaware, drives the global shift to sustainable energy with advanced energy storage, EV charging, and sustainable mining. Focused on innovation and sustainability, we are key players in the energy transition.

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800 N King Street Suite 304 1356 Wilmington,
DE 19801 United States

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The information provided, including any materials, communications, or presentations, does not constitute an offer to sell or a solicitation to buy any securities. Securities offered by Exoben Inc. are available only to qualified investors under exemptions provided by the Securities Act of 1933, specifically Regulation D (Rule 506(c)) and Regulation S. Under Regulation D (Rule 506(c)), securities are available to accredited investors as defined by Rule 501(a), who must meet financial thresholds such as a net worth of at least $1 million (excluding their primary residence) or an annual income exceeding $200,000 (or $300,000 with a spouse) for the past two years, with expectations of maintaining that income. Investors must undergo an accreditation verification process to ensure compliance with SEC regulations. Under Regulation S, securities are offered to non-U.S. persons in offshore transactions, subject to restrictions that prevent resale to U.S. persons or within the United States unless registered or an applicable exemption applies. Both Regulation D and Regulation S securities are unregistered with the SEC, subject to resale restrictions, and are generally illiquid, meaning they cannot be easily sold or transferred. Investing in these offerings is speculative and involves high risks, including the potential for total loss of capital. There is no public market for these securities, and investors should expect long holding periods with limited liquidity. Forward-looking statements provided in offering materials are subject to risks, uncertainties, and assumptions, and actual results may differ due to market conditions, economic changes, and company performance. Exoben Inc. advises all potential investors to perform extensive due diligence, carefully review all offering materials, and consult with their legal, tax, and financial advisors to ensure the investment suits their financial objectives and risk tolerance. By engaging with any Exoben Inc. offerings, you acknowledge understanding and agreement to the outlined terms and compliance with applicable securities laws and regulations.

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