Senior Data Scientist

AESC is looking to add a Data Scientist to our team in Florence, SC.

• Full-Time
• On-site

AESC is a global leader in the development and manufacturing of high-performance batteries for zero-emission electric vehicles and energy storage systems. Founded in Japan in 2007 and headquartered in Yokohama, AESC has been building manufacturing capabilities around the world in the U.S., U.K., Europe, Japan and China to serve key markets and leading customers locally for over 14 years. Today, AESC has become the partner of choice for the world's leading OEMs and energy storage providers in North America, Europe, and Asia. Its advanced technology powers over one million electric vehicles and provides more than 15GWh of installed capacity for battery energy systems in over 60 countries.

AESC is expanding its footprint in the United States with gigafactories in Kentucky, South Carolina, and Tennessee to meet the growing demand for EV and BESS batteries and strengthen its presence in the North American market. AESC's Tennessee gigafactory in Smyrna, which has been operational since 2012, produces batteries for Nissan. The Kentucky gigafactory in Bowling Green will supply Mercedes-Benz with high-performance battery cell modules. The South Carolina gigafactory in Florence will supply technology-leading battery cells for new electric models produced in BMW Group's Spartanburg plant. AESC is committed to our local communities where it is making its investments, creating jobs, and supporting local charities.

The Data Scientist is a professional position responsible for developing data-driven insights and analytics to support the AESC Battery Plant production facility's operations. The Data Scientist will analyze complex datasets, build predictive models, and develop dashboards to monitor plant performance and operational efficiencies. Collaborates with cross-functional teams to implement data-driven strategies, identify improvement opportunities, and enhance decision-making for long-term success.

• Works cross-functionally with Operations, Maintenance, and Quality teams to identify data-driven opportunities to continuously improve safety, quality, delivery, and cost.
• Monitors production and operational data, providing actionable insights and recommendations to optimize plant processes and maximize performance.
• Responds to operational needs by developing predictive models and advanced analytics to troubleshoot issues and support decision-making.
• Develops and maintains dashboards, reports, and data visualization tools to track key performance indicators (KPIs).
• Responsible for creating and documenting data pipelines and analytics procedures to ensure data accuracy and accessibility for cross-functional teams.
• Supports process changes, data-driven improvement initiatives, and advanced analytics projects for Kaizen and other optimization activities.
• Leads the development of machine learning models and algorithms to support new initiatives and improve operational efficiencies.
• Provides data and analytics representation for cross-functional activities involving other disciplines such as Facilities and Controls.
• Demonstrates strong data-driven problem-solving methodology and effectively presents insights and recommendations to all levels of management.
• Conducts regular data quality audits and ensures compliance with data governance best practices.
• Performs all other related assignments (including special projects) as required in a professional and cooperative manner.

Welcome to AESC, where you'll have the opportunity to tackle the world's most fascinating challenges alongside exceptionally talented individuals who are driven to make a difference. We strive to ensure that our employees are well taken care of, enabling them to focus on their work and contribute to our collective mission.

We offer:

• Comprehensive compensation packages including a competitive salary and a rewarding bonus program.
• An inclusive and diverse work environment that fosters and encourages professional and personal development.
• Highly automated, clean, safe, and temperature-controlled production environment
• Medical, Dental and Vision Insurance
• HSA and Flexible Spending Accounts
• 401K with company match
• Life Insurance (Company paid and additional voluntary life available)
• Paid Vacation and 14 Paid Holidays
• Short term and long-term disability coverage (Company Paid)
• Tuition reimbursement

• #LI-JH2

• Bachelor's degree in data science, Computer Science, Engineering, Mathematics, or a related field.
• Previous experience working in data analytics, machine learning, or related fields in a manufacturing environment, preferred.
• Must be a self-motivated individual with strong written and verbal communication skills and a data-driven decision-making mindset.
• Proficiency in statistical analysis, data modeling, and the application of machine learning algorithms.
• Experience with data visualization tools such as Power BI, Tableau, or similar tools.
• Strong proficiency in Python, R, or SQL; familiarity with data manipulation, analysis, and machine learning libraries (e.g., Pandas, NumPy, Scikit-learn).
• Ability to quickly understand and analyze operational and production data to generate actionable insights.
• Independent, driven, eager to learn, and able to manage multiple priorities in a fast-paced environment.
• Ability to work cross-functionally with engineering, operations, and quality teams to apply data-driven solutions to manufacturing challenges.
• Strong experience in data gathering, tracking, and consolidation from multiple sources.
• Ability to create clear and actionable reports, dashboards, and presentations for various audiences.
• Familiarity with project management and collaboration tools such as Jira, Confluence, Google Calendar, and Office 365.
• Strong problem-solving skills, with the ability to apply statistical and technical knowledge to real-world manufacturing issues.
• Experience working and collaborating in cross-disciplinary teams, including engineering, operations, and IT.
• Excellent organizational skills with the ability to manage complex data and prioritize tasks efficiently.
• Ability to clearly communicate complex data concepts and insights to non-technical stakeholders.
• Proficient in MS Office applications and knowledge of AutoCAD and Inventor.
• Intermediate to advanced skills in MS Office (Outlook, Excel, Word, PowerPoint, Project, OneNote, SharePoint).
• Proficiency with conferencing systems (Microsoft Teams)
• Understands and follows all standards of IATF16949 and VDA 6.3 quality standards. (training and awareness will be provided for those who are not familiar with these standards)
• Understands and follows all standards of ISO14001 environmental standards. (training and awareness will be provided for those who are not familiar with these standards)

• Experience in a high-volume manufacturing facility or a similar fast-paced, data-intensive environment is a plus.
• Experience with deploying machine learning models into production environments is a plus.

Even if you don't meet every requirement, we encourage you to apply. Your application allows us to learn more about you and find potential fits within our team. We strive to respond to all applicants promptly, though times may vary with submission volume. If you don't receive an immediate response, it doesn't reflect on your candidacy; we'll keep your application for future opportunities. Thank you for your patience and enthusiasm as we improve our application process.

At AESC, we are committed to providing Equal Employment Opportunity (EEO) to all individuals. We participate in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S Join us in our passion to design, manufacture, and sell high-performance products, contributing to a sustainable and zero-carbon emission future.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable otherwise qualified individuals with disabilities to perform the essential job functions.

• Ability to sit for extended periods of time.
• Ability to read, write, speak, hear; stand; walk; use hands to finger, handle, or feel; reach and lift with hands and arms frequently throughout the day.
• Required to occasionally lift, push, pull and/or move up to 10 pounds and occasionally required to lift, push, pull and/or move up to 35 pounds.

The work environment is primarily an automated manufacturing plant with a concrete floor and is characterized by some temperature extremes, moderate noise, and forklift traffic. The individual must be able to perform all essential functions as appropriate on the plant floor, in meetings, and with employees, management, customers and suppliers.

Candidate must perform the essential duties and responsibilities with or without reasonable accommodation efficiently and accurately, and without causing significant safety threat to self or others. The statements made herein are intended to describe the general nature and level of work being performed by employees assigned to this job classification. They are not intended to be construed as an exhaustive and inclusive list of all responsibilities, duties, and/or skills required of personnel so classified.

Hiring is contingent upon successful completion of drug screen and background check. AESC US LLC is a drug-free workplace.

Occasional domestic and international travel required.

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