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Data Scientist 2

ManpowerGroup

Remote · USContract / Temporary$35–40/hrSeen todaySeen in employer's feed today

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At a glance

Compensation
$35–40/hr
Location
Remote · US
Schedule
Contract / Temporary
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

ManpowerGroup is seeking a Data Scientist / Marketing Analytics Specialist to support its Digital Marketing and Sales Strategy team. The role analyzes marketing and sales performance, develops statistical and predictive solutions, and builds reporting tools to connect marketing activity with sales outcomes. The posting describes a six-month remote role and lists experience with marketing analytics platforms, Salesforce, SQL, programming languages, and data visualization tools.

Skills & qualifications

RequiredNice to have

Skills

Digital Marketing AnalyticsSalesforceSQLPythonSASPower BITableauAdvanced ExcelPowerPointData MiningStatistical AnalysisPredictive ModelingMachine LearningMarketing and Sales KPIsCampaign AnalyticsCustomer Lifecycle DataCommunicationCross-Functional Collaboration

Qualifications

Bachelor's in Statistics, Applied Mathematics, Data Science or Related Field2+ Years Data Analytics or Data Science Experience2+ Years Project Management Experience

Full job description

Data Scientist

Duration: 6 Months

Location: Remote

Pay: $35 - $40/hr W2

Job Description

We are seeking an experienced Data Scientist / Marketing Analytics Specialist to support our Digital Marketing and Sales Strategy team. The ideal candidate will have strong expertise in data analytics, statistical modeling, CRM reporting, and data visualization to drive marketing effectiveness and business growth.

Key Responsibilities

  • Analyze Marketing and Sales performance across customer acquisition, engagement, lead generation, pipeline, and conversion.

  • Identify trends, performance gaps, and opportunities across campaigns, customer segments, and accounts.

  • Develop statistical models, predictive analytics, and machine learning solutions.

  • Extract, clean, validate, and analyze large structured and unstructured datasets.

  • Build and maintain Power BI dashboards and Salesforce CRM reports.

  • Connect marketing activities with sales outcomes through funnel and KPI reporting.

  • Collaborate with Marketing, Sales, and cross-functional stakeholders to deliver actionable insights.

Required Skills & Qualifications

  • Experience with digital marketing analytics platforms such as Adobe Analytics, Claravine, Eloqua, or HubSpot.

  • Strong Salesforce (SFDC) experience, including CRM data models, reporting, dashboards, campaigns, leads, contacts, accounts, and opportunities.

  • Proficiency in SQL and programming languages such as Python or SAS.

  • Experience with Power BI, Tableau, Advanced Excel, and PowerPoint.

  • Strong knowledge of data mining, statistical analysis, predictive modeling, and machine learning.

  • Understanding of Marketing and Sales KPIs, campaign analytics, and customer lifecycle data.

Preferred Qualifications

  • Bachelor's degree in Statistics, Applied Mathematics, Data Science, or a related field.

  • 2+ years of Data Analytics or Data Science experience.

  • 2+ years of project management experience.

  • Strong communication and cross-functional collaboration skills.

If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!

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

Experis® is a global leader in technology services and part of the ManpowerGroup® (NYSE: MAN) family of brands. We connect skilled technology professionals with meaningful opportunities where they can grow their careers, expand their expertise and make a real impact. Guided by the belief that it takes Human Ingenuity to unlock the true potential of technology, Experis helps people gain experience with leading organizations, build sought-after skills and take the next step toward a brighter future. Backed by ManpowerGroup's 75+ years of workforce expertise and global reach across more than 70 countries and territories, Experis brings the scale, insight and opportunity to help people and businesses thrive. ManpowerGroup is consistently recognized for its commitment to inclusion, ethics and responsible business, including being named one of the World's Most Ethical Companies. Learn more at Experis.com.

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.

How this job compares

Set against the 4,803 open Data Scientist jobs on Olive Jobs, counted November 7, 2026.

Pay
  • This posting$35–40/hr
  • California median$65–75/hr29 hourly ranges
  • US median$65–77/hr121 hourly ranges

This range's midpoint, $37.50/hr, is 46% below the California median midpoint ($70/hr) — in the lowest quarter of Data Scientist hourly ranges in California.

Openings
Olive Jobs lists 815 open Data Scientist jobs in California and 4,803 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
Data Scientist postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (4,182 postings).
Education
2,342 of the 4,803 open Data Scientist jobs (49%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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