Data Scientist

Company: Exoben Inc.

Location: United States

Job Type: Full-Time

About Exoben:

We are seeking an experienced and highly analytical Data Scientist to join Exoben’s Research and Development (R&D) and Operations teams. As a Data Scientist, your role will focus on analyzing large datasets from extraction and production processes to improve operational efficiency, predict resource depletion, and optimize production methods. You will collaborate with engineers, geologists, and other data specialists to develop predictive models, identify key trends, and drive strategic decision-making across the company’s operations. This role is pivotal in enabling Exoben to remain a leader in data-driven sustainability and efficiency.

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Job Description:

We are looking for a dedicated and experienced Environmental Engineer to join our team and play a critical role in advancing our sustainability goals. The Environmental Engineer will be responsible for designing, implementing, and overseeing eco-friendly processes related to mining and resource extraction. This role will focus on mitigating the environmental impact of our operations, including waste management, emissions reduction, and land rehabilitation, while ensuring full compliance with local, national, and international environmental regulations. You will work closely with cross-functional teams to integrate sustainable practices into every aspect of Exoben’s operations, from extraction to production.

Key Responsibilities:
  • Data Analysis & Optimization: Analyze large datasets generated from lithium and sodium extraction processes, identifying patterns and insights that can be used to improve operational efficiency, reduce waste, and enhance production methods.
  • Predictive Analytics: Develop predictive models and algorithms to forecast resource depletion rates, equipment maintenance schedules, and other key operational metrics, enabling proactive management of resources and infrastructure.
  • Process Efficiency: Work closely with engineers to integrate data insights into real-time production processes, helping to minimize energy consumption, maximize yield, and streamline workflows.
  • Machine Learning Models: Design and implement machine learning models to predict and optimize various aspects of the extraction and refining process, including resource utilization, extraction rates, and environmental impacts.
  • Data Visualization & Reporting: Create detailed reports and visualizations to communicate key findings to stakeholders, including engineers, management, and external partners. Provide data-driven recommendations to enhance decision-making.
  • Data Integration: Collaborate with IT and engineering teams to integrate data collection systems, ensuring seamless data flow from operational machinery and sensors to analytical platforms.
  • Real-Time Monitoring: Develop systems for real-time monitoring and analysis of operational data, providing actionable insights to improve day-to-day operations and long-term strategic planning.
  • Continuous Improvement: Identify areas for process improvement based on data insights and work with multidisciplinary teams to implement solutions that increase efficiency, reduce costs, and support sustainability goals.
  • Collaboration with R&D: Partner with Research and Development teams to incorporate data insights into the development of new technologies, ensuring that future extraction methods are data-driven and optimized from the outset.
  • Automation & Scalability: Assist in automating key data collection and analysis processes, ensuring scalability as the company expands its operations globally.
Qualifications:
  • Educational Background: Bachelor’s degree in Data Science, Computer Science, Applied Mathematics, Engineering, or a related field. A background in data analytics within the energy, mining, or resource extraction industries is a plus.
  • Experience: 3+ years of experience in data science, predictive analytics, or a related field, with a focus on industrial operations, process optimization, or resource management.
  • Technical Expertise: Proficiency in data analysis and machine learning tools such as Python, R, MATLAB, TensorFlow, or similar platforms. Familiarity with big data technologies like Hadoop or Spark is highly desirable.
  • Data Visualization Tools: Experience with data visualization tools such as Tableau, Power BI, or D3.js for creating impactful dashboards and visual reports.
  • Predictive Modeling: Strong background in building predictive models using machine learning algorithms, time series analysis, and statistical techniques to forecast resource availability, operational efficiency, and process optimization.
  • Database & SQL Skills: Proficiency in database management and querying languages (SQL, NoSQL) for extracting, processing, and analyzing large datasets from operational databases.
  • Analytical Mindset: Strong analytical and problem-solving skills, with the ability to interpret complex datasets and provide actionable insights to improve operational processes.
  • Collaboration Skills: Experience working in cross-functional teams, particularly with engineers, geologists, and production staff, to integrate data science into industrial processes.
  • Project Management: Ability to manage data-centric projects from conception to execution, including planning, data collection, analysis, and reporting.
Preferred qualifications
  • Competitive Compensation: A competitive salary and comprehensive benefits package, including health insurance, retirement plans, and performance-based incentives.
  • Career Growth: Opportunities for career advancement, skill development, and participation in cutting-edge research and development projects in the energy sector.
  • Innovative Work Environment: Join a company that is leading the way in data-driven decision-making in energy and resource extraction, where your contributions will directly impact global sustainability efforts.
  • Collaborative Culture: Work in a dynamic, collaborative environment where cross-functional teamwork is encouraged, and innovation is a core value.
  • Flexible Work Arrangements: We promote work-life balance and offer flexible working arrangements where applicable.
What We Offer:
  • Competitive Compensation: A competitive salary with a comprehensive benefits package, including health insurance, retirement plans, and performance-based bonuses.
  • Career Growth: Opportunities for professional growth and development, including access to cutting-edge technology and advanced environmental research projects.
  • Meaningful Impact: Be part of a company committed to global sustainability and environmentally responsible practices in energy and resource extraction.
  • Collaborative Work Environment: Work in a dynamic, team-oriented setting that encourages innovation and values diverse perspectives.
  • Work-Life Balance: We offer flexible working arrangements and support a healthy work-life balance.
HOW TO APPLY:

If you are a data-driven professional passionate about applying your skills to the clean energy sector, 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 with big data, predictive analytics, and process optimization.

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

Be a part of the future of sustainable energy – apply today and contribute to Exoben’s mission to revolutionize resource extraction through data science!

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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.

Powering the Future

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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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