Senior Manager, Generative AI/ML Data Scientist

About Us:

Mitsubishi Logisnext Americas Inc. has helped customers Move The World Forward for more than 100 years as a technology-driven forklift manufacturer. In addition to being a forklift manufacturer, we are also a total solutions provider offering scalable products and services from material handling and automation to extensive fleet support.

About the role:

We’re building something that matters—an intelligence layer for real-world operations where safety, performance, and productivity intersect. As the AI/ML Data Scientist leading our applied analytics team, you’ll do more than train models—you’ll shape how organizations interpret and act on complex machines and behavioral data. In this role, you’ll apply your expertise to solve problems that directly affect the movement of goods, the efficiency of workforces, and the uptime of critical equipment. You’ll lead a team tasked with turning raw telemetry into insight, building the algorithms, systems, and interfaces that connect people to the information they need—before they even know they need it. This is your opportunity to find meaning not just in data, but in your career—by driving real-world outcomes, influencing product vision, and building a high-performing team.

What you will do:

• Lead and manage the applied analytics team, including Data Engineering and Prompt Engineering. Provide direction, mentorship, performance feedback, and resource planning to ensure team success.
• Design, build, and deploy machine learning models to drive diagnostic, predictive, and prescriptive insights based on operational, behavioral, and event-based data.
• Shape and guide the analytics product roadmap in partnership with Product, Engineering, and Business stakeholders—ensuring ML/AI development aligns with platform strategy and stakeholder needs.
• Work hands-on with data, including exploration, feature engineering, experimentation, and model refinement—ensuring solutions are accurate, scalable, and production-ready.
• Collaborate with internal and third-party partners to align data models, AI/ML use cases, and product integrations with broader ecosystem objectives.
• Contribute to the development of user-facing AI interfaces, such as natural language experiences, intelligent recommendations, and analytics workflows.
• Represent the analytics function internally and externally, including presentations to stakeholders, customers, and executive leadership.

When & Where:

• This position can be based out of the Houston, TX, Marengo, IL, or Grand Rapids, MI office.
• This is a hybrid position (3 days per week in office, 2 days working from home).
• Up to 20% travel may be required, including some international travel.

What you need to have:

• Bachelor’s degree in a technical or quantitative field, such as Computer Science, Data Science, Engineering, or Statistics
• 7+ years of experience
• Proven experience building and deploying machine learning models in production environments (e.g., predictive, diagnostic, time-series models)
• Strong proficiency in Python and modern ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow)
• Experience working with real-world, high-volume, structured and semi-structured datasets, ideally involving sensor or operational data
• Hands-on expertise in feature engineering, data exploration, and statistical analysis
• Demonstrated ability to lead and develop technical teams, including mentoring and resource planning
• Experience aligning AI/ML solutions to product strategy, stakeholder needs, and real-world use cases
• Demonstrated ability to lead a team while actively contributing as a hands-on practitioner, comfortable setting vision, delegating, & deep technical work

What would be nice to have:

• Master’s or Ph.D. in a relevant technical field
• Experience with natural language processing or LLM-based applications, including prompt design or retrieval-augmented generation
• Familiarity with telemetry, IoT, or time-series data from physical systems or connected devices
• Exposure to ML Ops workflows (e.g., model versioning, monitoring, retraining strategies)
• Experience integrating third-party data sources into ML models or product analytics
• Understanding of analytics product development cycles, including UX, feedback loops, and iterative design

What we offer:

• Medical, dental, and vision benefits
• Paid Vacation, Sick Time, and Paid Holidays
• Profit Sharing Opportunities
• Flexible Spending and HSA Accounts
• 401k with automatic company contribution and company match
• Short-term and long-term disability insurance
• Life, Dependent Life, and AD&D Insurance
• Paid Parental Leave (Includes 6-8 weeks of maternity leave and 5 days of paternity leave)
• Employee Assistance Program
• Employee Discounts
• On-site fitness center (Houston)
• On-the-job training and development

The base salary for this position ranges from $150,000 to $190,000 annually. The specific salary for a successful candidate will depend upon, among other legitimate factors, education, training, and/or experience.Additionally, employees are eligible for an annual discretionary bonus.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Equal Opportunity Employer/Veterans/Disabled

Agency Disclaimer:

Mitsubishi Logisnext Americas Inc. does not accept unsolicited resumes from third party vendors. Any unsolicited resumes from a third party will become the property of the company to use at the company’s discretion, with the understanding that Mitsubishi Logisnext Americas, Inc. will not be billed a fee for any such resumes. If a company is designated as an approved vendor, then said company can only provide assistance on those positions requested via a formal written agreement of support.