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Entry Level Data Science Jobs in Warren, MI (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Detroit, MI · On-site

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

United States Army

Reserve Entomologist

Warren, MI

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

United States Army

Active Entomologist

Warren, MI

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

United States Army

Active Entomologist

Detroit, MI

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

United States Army

Reserve Entomologist

Detroit, MI

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Pwc

AI Engineer

Detroit, MI · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... Computer and Information Science, Computer Engineering, Computer Management, Management Information ...

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Entry Level Data Science information

See Warren, MI salary details

$9

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$25

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

As of Aug 9, 2026, the average hourly pay for entry level data science in Warren, MI is $17.85, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $20.05 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

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.

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.

What are the most commonly searched types of Data Science jobs in Warren, MI? The most popular types of Data Science jobs in Warren, MI are:
What are popular job titles related to Entry Level Data Science jobs in Warren, MI? For Entry Level Data Science jobs in Warren, MI, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Warren, MI look for? The top searched job categories for Entry Level Data Science jobs in Warren, MI are:
What cities near Warren, MI are hiring for Entry Level Data Science jobs? Cities near Warren, MI with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Warren, MI as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $37,130 per year, or $17.9 per hour.

Finance Transformation - Finance Operations Consulting - Senior Associate

Pwc

Detroit, MI • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Finance

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Finance Transformation - Finance Operations Consulting - Senior Associate, you will have the chance to work alongside top executives such as CEOs, CFOs, controllers, and treasurers to optimize finance functions and enhance their business contributions. Within our Finance practice, you will address challenges related to achieving appropriate standards of control, efficient back-office opportunities, and providing insightful support to the business. You will play a pivotal role in transforming finance functions by executing strategies that reduce complexity through streamlined processes and optimized technology use.
As a Senior Associate, you will leverage your skills to solve complex business issues from strategy to execution. You will focus on building meaningful client relationships, navigating complex situations, and mentoring junior team members. Your role will involve using critical thinking to break down complex concepts and guide others, while maintaining professional standards and adapting to diverse perspectives. You are expected to anticipate the needs of your teams and clients, delivering quality solutions even when the path forward isn't clear.
In this role at PwC, you will contribute to the delivery of cost-effective, quality services to stakeholders, helping clients transform their finance functions and improve their business impact.
Responsibilities
- Transforming finance functions by executing strategies to streamline processes and optimize technology use
- Collaborating with CEOs, CFOs, controllers, and treasurers to enhance finance operations and business contributions
- Addressing challenges in achieving appropriate standards of control and efficient back-office opportunities
- Supporting clients through insight and challenge to deliver cost-effective services to stakeholders
- Analyzing complex business issues from strategy to execution using critical thinking and problem-solving skills
- Utilizing financial data mining and forecasting to inform insights and recommendations
- Reviewing work for quality, accuracy, and relevance while upholding the firm's code of ethics and business conduct
- Delegating tasks to provide stretch opportunities and coaching team members to deliver results
- Modifying behavior to build quality relationships and influence others through structured communication
- Embracing opportunities for exposure to diverse situations, environments, and perspectives
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Finance, Mathematics/Statistics, Risk Management/Insurance
- At least one of the following: Current pursuit of or an active Certified Public Accountant (CPA) license

- Experience in record to report, procure to pay, order to cash cycles
- Supporting complex finance transformation initiatives
- In-depth knowledge of finance process optimization and financial systems implementations

- Implementing GenAI and digital finance transformation solutions
- Experience in managerial cost accounting and financial modeling
- Demonstrating analytical thinking and problem-solving in financial operations
- Utilizing financial data mining and forecasting techniques effectively
- Excelling in financial statement analysis and preparation
- Managing financial services operations with precision
- Embracing change and adapting to evolving industry trends

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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