Resource Data ScientistHonda Dev. and Mfg. of Am.,LLC • Raymond, Wisconsin, United States
Resource Data Scientist
Honda Dev. and Mfg. of Am.,LLC
- Raymond, Wisconsin, United States
- Raymond, Wisconsin, United States
Über
Read all the information about this opportunity carefully, then use the application button below to send your CV and application. What Makes a Honda, is Who makes a HondaHonda has a clear vision for the future, and it’s a joyful one.
We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success.
We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.” We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda’s, we want you to join our team to Bring the Future! Job Purpose As the Data Scientist, you will provide deep analytical support to improve the organization’s ability to allocate resources effectively, optimize budget utilization, and strengthen workforce and workload forecasting. A primary function of this role is to identify trends, inefficiencies, and opportunities that improve forecasting accuracy—especially in areas with weaker predictability such as overhead and management—while also supporting incremental improvements in development‑program forecasting models. This role uses tools like SQL, Python, R, and Power BI for analysis and explores AI/Machine Learning techniques to generate insights that enhance long‑range planning and organizational decision‑making. Key Accountabilities Data Analysis, Insights, and Forecasting•
Analyze resource, financial, workload, and organizational data to identify inefficiencies, cost drivers, and opportunities to optimize resource utilization.•
Strengthen forecasting for areas with weak predictability, such as overhead and management functions, by identifying key drivers and improving modeling approaches.•
Evaluate existing development program forecasting methods and identify areas for incremental improvement.•
Use SQL, Python, R, and Power BI as analysis tools to extract insights, validate trends, and support decision making.AI/Machine Learning Practical Applications:•
Identify opportunities to apply AI, machine learning, and Large Language Models based techniques to improve resource demand prediction and long range forecasting.•
Develop lightweight prototypes to test AI based forecasting approaches.•
Determine how to integrate AI/Machine Learning models into resource and business planning process with explainability to function leaders and executives.Stakeholder Communication and Storytelling:•
Prepare clear, concise, and visually effective presentations that translate analytical findings into actionable recommendations.•
Align assumptions and interpretations with HR, Finance, Business and Product Planning, and other stakeholders to ensure consistent understanding and decision making.Strategic Support:•
Support planning cycles, scenario modeling, and long range resource strategy initiatives. Provide analytical input for headcount modeling, budget trade off evaluations, and capacity risk assessments.•
Engagement program support to understand impact of resource optimization on workforce. Qualifications, Experience, and Skills Minimum Educational Qualifications: Bachelor’s degree in Computer Science, Data Science, Engineering, Data Analytics, Business or Other Related FieldMinimum Experience: 0-6 years of related experience, based on educationOther Job-Specific Skills: Strong analytical skills with experience interpreting complex resource, financial, and organizational datasets. Proficiency with SQL, Python, and Power BI for analysis. Familiarity with machine learning concepts and the ability to build or evaluate prototype models. Ability to clearly communicate insights to leadership and cross functional stakeholders. Comfort working in ambiguous environments and independently shaping analytical direction. Working Conditions On-Site Work Style (80% in office / up to 20% remote work) Typical day:
Office or remote environment. Desk work ~75%, Meetings and Special Events ~25% Some travel required Overtime: Typical 0 to 10 hours per week What differentiates Honda and make us an employer of choice? xkddfxh Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs
Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
Sprachkenntnisse
- English
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