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Associate Data Scientist Jobs in Rochester Hills, MI

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Associate you will analyze complex problems, mentor others, and maintain elevated ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ...

Showing results 21-40

Associate Data Scientist information

See Rochester Hills, MI salary details

$52.9K

$62.6K

$118.7K

How much do associate data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for associate data scientist in Rochester Hills, MI is $62,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $54,800.00 per year, depending on experience, location, and employer.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the key skills and qualifications needed to thrive as an associate data scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What can I do with an associate data scientist?

An associate data scientist analyzes data to identify patterns, build models, and support decision-making using tools like Python, R, or SQL. This role often involves collaborating with teams, developing predictive models, and gaining experience to advance to more senior data science positions.
What are the most commonly searched types of Data Scientist jobs in Rochester Hills, MI? The most popular types of Data Scientist jobs in Rochester Hills, MI are:
What cities near Rochester Hills, MI are hiring for Associate Data Scientist jobs? Cities near Rochester Hills, MI with the most Associate Data Scientist job openings:
Infographic showing various Associate Data Scientist job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 77% Full Time, 15% Part Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $62,626 per year, or $30.1 per hour.

AI Engineer / Data Scientist, AI Senior Associate

Pwc

Detroit, MI • On-site

$72K - $212K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago


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

Assurance

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As part of the AI Engineering team within the Digital Assurance & Technology team, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Assurance practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing ambiguity and using these moments as opportunities to grow.
In this role, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models. You will use a broad range of tools and methodologies to generate new ideas and solve problems, interpreting data to inform insights and recommendations. Upholding professional and technical standards, you will contribute to the firm's overall business strategies and client solutions.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing scalable machine learning models to support client decision-making and business growth
- Collaborating with teams to build and deploy software and platform systems for AI solutions
- Applying data wrangling techniques to prepare datasets for AI model training and validation
- Utilizing critical thinking to break down complex concepts and generate innovative solutions
- Interpreting data to inform insights and recommendations for client engagements
- Upholding professional and technical standards in alignment with the firm's code of conduct
- Navigating complex situations to anticipate the needs of teams and clients
- Building meaningful client connections to foster long-term relationships and trust
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning
- Utilizing critical thinking to break down complex concepts
- Navigating ambiguity while maintaining focus on client needs
- Building meaningful client connections and managing relationships
- Interpreting data to inform insights and recommendations

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $72,000 - $184,440. For residents of Washington state the salary range for this position is: $72,000 - $212,000. 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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