Data Scientist

Set Your Future IN MOTION

Manitou is purposefully committed to you, its people. We continue to elevate our success based on a “One United Team” focus that enables our purpose-driven and agile work environment. We pride ourselves in fostering a work-life balance that allows flexibility in people's day-to-day lives. In an era when talent is in-demand, you will find an unwavering commitment to your personal and professional growth.

ABOUT OUR COMPANY CULTURE:

As a worldwide leader in handling, access platforms and earthmoving equipment, Manitou Group’s mission is to improve working conditions, safety and performance throughout the world, while preserving people and their environment. We design, manufacture, distribute and service products and solutions for the material handling, access equipment and compact earthmoving activities that work smarter, safer and reliably while delivering value to our customers.  Our high-profile brands include Manitou and Gehl, and we are proud of our network of 1,050 dealers throughout the world.  With sales in 140 countries, our team of 4,500 people are committed to delivering exceptional customer satisfaction.  We operate in more than 30 global locations to ensure proximity to our customers and services tailored to their needs.

Manitou continues on the forefront of innovation driving the green transition while also streamlining our operations guided by our customer-centric “New Horizons” roadmap. We are committed to providing safety and unique customer experiences worldwide. In sharing the same mission and values, our workforce remains engaged and passionate about what we manufacture and services we provide.

GENERAL ACCOUNTABILITY:

As a Data Scientist, this role will need to have expertise in Azure Machine Learning, SQL, and knowledge of Google Cloud Platform (GCP), including Vertex AI. Knowledge of Power BI or similar data visualization tools, such as Tableau, is essential. This position will work on supporting existing use cases on Azure ML, deploying self-service data science tools, and driving innovation within the group through advanced analytics and artificial intelligence, including Generative AI and Generative BI. The data scientist position will be reporting to the Data Solutions IT Manager.

DUTIES & RESPONSIBILITIES:

• Support Existing Use Cases: Maintain, enhance, and optimize machine learning models and workflows currently deployed on Azure ML.
• Promote Self-Service: Deploy and evangelize self-service analytics and data science tools, empowering business users to explore data and derive insights independently.
• Foster Innovation: Collaborate across teams to identify opportunities for leveraging advanced analytics and AI tools, promoting a culture of data-driven decision-making.
• Generative AI and BI Initiatives: Lead and support the adoption of Generative AI models and Generative BI capabilities, identifying practical applications and ensuring successful deployment.
• Cloud Ecosystem Expertise: Seamlessly integrate data science solutions across Azure ML, GCP, and Vertex AI, ensuring interoperability and optimal performance.
• Training and Enablement: Conduct workshops and training sessions to build data literacy and empower internal teams with data science and AI knowledge.

EXPERIENCE:

• 3+ years of experience in data science, machine learning, or related fields.
• Proven track record in building and deploying machine learning models in production environments.

EXPERTISE:

• Strong hands-on experience with Azure ML, SQL.
• Knowledge of Python
• Knowledge of GCP services, including Vertex AI a plus
• Familiarity with multi-cloud environments is a plus
• Knowledge of Power BI or a similar data visualization tool such as Tableau is a plus
• Experience with MLOps practices and tools for scalable machine learning.
• Understanding of data governance and security in multi-cloud environments.
• Familiarity with Generative AI frameworks and their practical applications.
• Excellent problem-solving skills and the ability to manage multiple projects.
• Strong communication and stakeholder engagement skills.

EDUCATION:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• Certification in Azure, GCP, or other relevant platforms is a plus.

INTERNAL & EXTERNAL CONNECTIONS:

• The Data Scientist will collaborate with the data team and engage with stakeholders across the Manitou Group, regardless of their location

SALARY RANGE:

• Base Salary Range between $64,000 - $88,000 per year, plus a potential quarterly bonus based on performance metrics

                     *Actual pay determined by experience level, skills, qualifications & work location

LOCALIZATION AND TRAVEL EXPECTED:

• This position is located in West Bend, WI
• Limited travel domestic & International

OUR REWARDS & RECOGNITION:
In addition to an inclusive compensation package, we offer a comprehensive benefits program, including: Medical/Dental/Vision, 401k including employer match, tuition reimbursement, community-oriented volunteer program, wellness activities, employee and family activities throughout the year, and so much more! See for yourself why Forbes ranked Manitou within the top 125 for World’s Best Employers.

Applicants must be authorized to work in the United States.  
Equal Opportunity Employer