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Data Science Jobs in Washington, MI (NOW HIRING)

Conclusive Marketing

Lead Data Scientist

Detroit, MI

You'll be joining our RXA Data Science team, a group dedicated to leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions. As Lead ...

Deloitte

Lead AI and Data Science Engineer II

Detroit, MI

$101K - $133K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent ...

Conclusive Marketing

Data Scientist

Detroit, MI

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... BA/BS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or a related ...

Pwc

AI & GenAI Data Scientist-Director

Detroit, MI

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The Opportunity As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and ...

Stellantis

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

You will be part of a talented team of data scientists, engineers, driving predictive analytics and early detection of emerging warranty trends using vast datasets across the enterprise. Key ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Washington, MI

Data Science information

See Washington, MI salary details

$34.8K

$113.8K

$182.2K

How much do data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science in Washington, MI is $113,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $126,100.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are popular job titles related to Data Science jobs in Washington, MI? For Data Science jobs in Washington, MI, the most frequently searched job titles are:
What cities near Washington, MI are hiring for Data Science jobs? Cities near Washington, MI with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Washington, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, 5% Hybrid, and 20% Remote job distribution, with an average salary of $113,822 per year, or $54.7 per hour.

Lead Data Scientist

Conclusive Marketing

Detroit, MI

Full-time

Medical, Dental, Vision, Retirement

Re-posted 18 days ago

Job description

OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.

You'll be joining our RXA Data Science team, a group dedicated to leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions. As Lead Data Scientist, you will play a critical role in delivering impactful, data-driven solutions. In this role, you will bridge strategy and execution-translating complex business problems into analytically sound solutions while ensuring technical excellence, timely delivery, and cross-functional collaboration.

The Lead Data Scientist is responsible for leading the execution of end-to-end data science projects, from scoping and modeling to operationalization and insight delivery. You will partner with clients, internal teams, and technical stakeholders to develop and deploy scalable solutions that drive measurable business value.

What you'll do:

  • Lead the design, development, and deployment of statistical models, machine learning algorithms, and custom analytics solutions

  • Collaborate consistently with team members to understand the purpose, focus, and objectives of each data analysis project, ensuring alignment and meaningful support

  • Translate client goals into clear modeling strategies, project plans, and deliverables

  • Guide the development of production-level model pipelines using tools such as Databricks and Azure ML

  • Collaborate with engineering, marketing, and strategic partners to integrate models into real-world applications

  • Monitor and improve model performance, ensuring high standards for reliability and business relevance

  • Present complex analytical results to technical and non-technical audiences in a clear, actionable format

  • Support innovation by identifying new tools, methods, and data sources-including the use of Snowflake for modern data architecture

  • Promote best practices in model governance, data ethics, and responsible AI

What you need:

  • Minimum 5-7 years of experience in data science, analytics, or predictive modeling

  • Experience leading all aspects of sophisticated data science initiatives with a solid foundation in technical strategy and execution

  • Strong programming skills in Python, R, or SAS for modeling and data analysis

  • Advanced SQL capabilities and experience working in cloud-based environments (e.g., Azure, AWS)

  • Hands-on experience with Databricks, Azure Machine Learning, and Snowflake strongly preferred

  • Experience applying the modeling rigor and documentation standards required in regulated industries such as financial services is a strong plus

  • Expertise in regression, classification, clustering, A/B testing, and audience segmentation

  • Proficiency with Tableau, Power BI, and Excel for data visualization and communication

  • Strong communication skills and the ability to translate complex technical findings into business insight

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field (Master's preferred)

  • Experience in integrated marketing, digital agency, marketing services, or consulting environments preferred.

Benefits

We believe great work happens when people have the support and flexibility they need to thrive. Our benefits include medical, dental, and vision coverage, a 401(k) retirement plan, paid holidays, and Flexible Time Off (FTO) so you can take time away to recharge when you need it. We also offer additional programs focused on wellness, financial security, and professional growth.

We are an equal opportunity employer

We believe that Innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance. We're proud to be an equal opportunity employer and actively search for like-minded people to join our team.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.

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