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Entry Level Data Science Jobs in Milwaukee, WI (NOW HIRING)

Actalent

Sales Development Representative

Wauwatosa, WI · On-site

$343K/yr

We're looking for a highly motivated Entry-Level Sales Development Representative to join our team ... Building trusted relationships with our network of engineering and sciences companies under our ...

Actalent

Sales Development Representative

Wauwatosa, WI · On-site

$343K/yr

We're looking for a highly motivated Entry-Level Sales Development Representative to join our team ... Building trusted relationships with our network of engineering and sciences companies under our ...

Apex Systems

Software Developer

Brookfield, WI · On-site

... MIS, Computer Science, or a related IT field is required. Experience: This is an entry-level ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

Luminoustec LLC

Java Developer

Milwaukee, WI

$50.25 - $65/hr

Students who have completed their Master / Bachelors / MBA and other entry level professionals who ... Responsibilities may also include participation in component and data architecture design ...

Luminoustec LLC

Java Developer

Milwaukee, WI · On-site

$50.25 - $65/hr

Students who have completed their Master / Bachelors / MBA and other entry level professionals who ... Responsibilities may also include participation in component and data architecture design ...

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All JobsData Science JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Milwaukee, WI

Entry Level Data Science information

See Milwaukee, WI salary details

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How much do entry level data science jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for entry level data science in Milwaukee, WI is $18.77, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $21.06 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Milwaukee, WI? The most popular types of Data Science jobs in Milwaukee, WI are:
What are popular job titles related to Entry Level Data Science jobs in Milwaukee, WI? For Entry Level Data Science jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Milwaukee, WI look for? The top searched job categories for Entry Level Data Science jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Entry Level Data Science jobs? Cities near Milwaukee, WI with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Legal Client Advisor - Upcoming Opportunities

Legal Client Advisor - Upcoming Opportunities

Expert Institute

Milwaukee, WI • On-site

Full-time

Posted 18 days ago

Job description

Company Description
We operate in a fast-paced environment where hiring needs evolve quickly. This position is not currently open, but we encourage talented candidates interested in this role to connect with us!
This is an entry-level, full-time, hybrid position based in our Milwaukee office
We cannot provide Work Visa support for this role at this time.
Company Description
Expert Institute is the nation's leading expert consulting and insights platform, helping plaintiff firms win more cases and increase their profitability. Established in 2010, Expert Institute has supported over 5,000 firms nationwide across all areas of practice.
We connect litigators with top industry experts, innovative litigation research, physician consultations, and comprehensive due diligence - all delivered through our SaaS platform, Expert iQ. Leveraging proprietary data and analytics, we give plaintiff firms a winning edge.
Job Description
About the Role
As a Client Advisor, you'll be a crucial link between Expert Institute and our attorney-clients, directly impacting case outcomes through expert witness selection and strategic consulting. This role combines legal analysis, client service, and project management in a fast-paced, technology-driven environment.
Key Responsibilities
Strategic Client Partnership
  • Lead comprehensive case intake conversations with attorneys
  • Analyze case theories and develop targeted expert witness search strategies
  • Translate complex legal needs into actionable research parameters

Project Management
  • Oversee end-to-end client engagements
  • Ensure timely delivery and exceptional quality of all deliverables

Relationship Management
  • Build and maintain strong relationships with attorney clients
  • Present findings and recommendations to key stakeholders
  • Proactively identify and resolve potential challenges
  • Serve as a trusted advisor throughout the litigation process

Qualifications
Qualifications:
  • Bachelor of Science or Bachelor of Arts highly preferred
  • Minimum 1 year of client or customer service experience required
  • Exceptional attention to detail and commitment to accuracy
  • Strong analytical and critical thinking abilities
  • Demonstrated ability to work independently in a fast-paced environment
  • Outstanding written and verbal communication skills
  • Proven track record of meeting deadlines and managing multiple priorities
  • Natural problem-solver with a creative approach to challenges
  • Previous experience in legal, research, or professional services industries preferred

Additional Information
All your information will be kept confidential according to EEO guidelines.

Apply