Consultant (Data Scientist)

ManpowerGroup; Milwaukee (WI); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Career growth

Benefits program

Job summary

Experis US LLC, part of ManpowerGroup, in Milwaukee, Wisconsin, seeks a Consultant (Data Scientist) to develop analytics applications and transform data into actionable information for clients nationwide.

The role involves data analysis, visualization, workflow automation, and data pipeline development, with application of ML techniques and various optimization methods. Travel to client sites across the U.S. is expected.

Qualifications

• Bachelor's degree in computer science, Data Science or Engineering with relevant coursework or 2+ years of experience.
• Master's degree accepted in lieu of work experience.
• Graduate level coursework covering the listed subjects is acceptable.

Responsibilities

• Develop analytics applications to transform data into information for clients.
• Engage in data analysis, data visualization, workflow automation and data pipeline development.
• Utilize machine learning techniques and optimization/simulation methods.
• Design and implement analytical tools.
• Perform statistical and multivariate analysis and research on new data models.
• Provide services to clients located throughout the U.S.

Education

Bachelor's degree in computer science, Data Science or Engineering

Master's degree in computer science, Data Science or Engineering

Graduate coursework in relevant subjects

Job description

Consultant (Data Scientist) needed for Experis US LLC located in Milwaukee, WI.

Consultant (Data Scientist) needed for Experis US, LLC located in Milwaukee, Wisconsin.

Job Title:

Consultant (Data Scientist)

Key Responsibilities:

• Develop analytics applications to transform data into information to be used by clients.
• Engage in data analysis, data visualization, workflow automation and data pipeline development.
• Utilize machine learning techniques and multiple optimization and simulation techniques.
• Design and implement analytical tools.
• Perform statistical and multivariate analysis and perform research on new data models.
• Will provide services to client located throughout the U.S.

Requirements:

• Must have a bachelor’s degree in computer science, Data Science or Engineering and 2 years of overall progressive experience in the tasks and the skill sets listed in the job description.
• Will also be willing to accept a master’s degree in computer science, Data Science or Engineering.
• No experience required but must have graduate level coursework that covered the subjects of all tasks and skill sets listed above.
• Must be willing to travel/relocate.

Benefits:

• Grow and develop your career with an industry leader
• Take advantage of excellent benefit program

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.