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Data Science Associate Jobs in Troy, MI (NOW HIRING)

... Science, Data Science, Software Engineering, Mathematics, Statistics, or a related quantitative field - At least 3 years of professional experience developing AI/ML systems, building full-stack ...

Data Engineer

Plymouth, MI · On-site

$109K - $130K/yr

Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ... Employment opportunities are available to all applicants and associates without regard to race ...

Data Engineer

Plymouth, MI · On-site

$109K - $130K/yr

Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ... Employment opportunities are available to all applicants and associates without regard to race ...

As a Senior Associate, you will build meaningful client connections and learn how to manage and ... Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management ...

New

Data Architect

Troy, MI · On-site

$59.75 - $76.75/hr

... and IT associates. Develop and maintain technical documentation. Support business projects by ... Educational Requirements Bachelor's Degree in Computer Science, Information Systems, or equivalent.

Associate AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits ... Must understand data analysis and how to apply data science solutions into end products. Required ...

Showing results 41-60

Data Science Associate information

See Troy, MI salary details

$54.6K

$64.6K

$122.6K

How much do data science associate jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data science associate in Troy, MI is $64,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $56,500.00 per year, depending on experience, location, and employer.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

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

AspectData Science AssociateData 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; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Troy, MI? The most popular types of Data Science jobs in Troy, MI are:
What job categories do people searching Data Science Associate jobs in Troy, MI look for? The top searched job categories for Data Science Associate jobs in Troy, MI are:
What cities near Troy, MI are hiring for Data Science Associate jobs? Cities near Troy, MI with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Troy, MI as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $63,765 per year, or $30.7 per hour.

Business Intelligence Analyst III, Marketing Analytics

AAA Life Insurance Company

Livonia, MI • On-site

Full-time

Re-posted 20 days ago


Job description

Overview
Why AAA Life
AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them - and their families - when we're needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive.
How You'll Work
Work Solution: Hybrid
Responsibilities
What You'll Do
As a Business Intelligence and Marketing Analyst, you will be responsible for delivering insights and recommendations related to the marketing of AAA Life's various products. You will partner with marketing staff, marketing data managers, and other data analysts and data scientists to identify business questions, gather data, perform appropriate analyses, and deliver insights and recommendations. This role requires proficiency in SQL, R or Python, a visualization tool such as Power BI or Tableau, and a passion for delivering actionable insights and driving the growth of the organization.
  • Design, build, and automate user friendly PowerBI dashboards to enable data-driven decision making by our stakeholders, including:
    • Developing data quality frameworks
    • Creating standardized reporting templates
    • Conducting advanced customer segmentation analyses
    • Conducting advanced modeling decile analyses
    • Supporting strategic planning with actionable data-driven insights
  • Track marketing initiatives, produce 360-degree campaign results analysis, validating against forecast and plan, proactively identifying actionable opportunities for results improvement, providing status reports and strategic recommendations to business stakeholders. Specifically, focus on:
    • Increasing dashboard efficiency
    • Increasing insight impact
    • Process automation success rates
    • Shortened time to deliver actionable insights
  • Collaborate with marketing stakeholders to identify business questions and challenges, then perform appropriate analyses and deliver actionable insights and recommendations.
  • Work with marketing data team and service providers to ensure data is complete, correct, and suitable for analysis.
  • Design and conduct hypothesis testing (A/B testing and multi-variate testing) to evaluate the effectiveness marketing activities or strategies
  • Maintain clean and organized documentation of data, methodologies, and results in a central depository.
  • Identify opportunities for automation in existing processes to improve overall efficiency. Recommend new processes to enhance efficiency and performance.
  • Back up data scientists and modelers whenever business requires. Comfortable with building statistical models, using ML/AI platforms and algorithms, and marketing technology.
  • Actively seek out innovation and optimization use cases and experiments that will result in organizational transformation and sales and profit improvements.

Qualifications
Qualifications
Basic Required Qualifications:
  • Possess strong analytical and problem-solving skills. Able to effectively communicate complex analytical findings in a candid, clear, and concise way with both technical and non-technical audiences. Able to present findings persuasively.
  • Can maintain perspective between the big picture and the tactical details. Remains aligned with the organization's strategic plan
  • Capable of maintaining solid working relationships with other people. Works well as part of a team
  • Stellar attention to detail, including maintaining accuracy and consistency across a suite of analytics assets, keeping documentation up to date, and proactively identifying and addressing any quality concerns.
  • Self-starter with the ability to identify priorities and focus on items with high business impact
  • Demonstrated ability to translate business requirements into automated reporting solutions. Understanding of marketing metrics and KPIs with focus on automated tracking. Proven track record of implementing report automation and self-service analytics

Preferred Qualifications:
  • Preferred: Master's degree in Statistics, Mathematics, Data Science, Business Analytics, or related field
  • Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Business Analytics, or related field
  • 5+ years of experience in business analytics
    • Proficiency in SQL, Python or R, and visualization tools such as Power BI.
    • Proficiency in cloud platforms (AWS, Azure, Google Cloud)
    • Understanding Machine Learning frameworks
    • Proficiency in version control systems (Git)
  • Experienced with cloud platforms such as AWS, Azure, and Google Cloud. Familiar with big data technologies (Spark, Hadoop)
  • In-depth experience with hypothesis testing, including test design and analysis in marketing, including both digital marketing and direct mail.
  • Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference
  • Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts
  • Experience with data visualization best practices and automated dashboard design.
  • Experience with compliance and Data Governance
    • Data privacy compliance (GDPR, CCPA)
    • Ethical data handling practices
    • Data security best practices

While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus.
This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements.
We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.
AAA Life Insurance Company does not offer immigration sponsorship for this position. This includes visa types such as H-1B, TN, and STEM OPT. Please do not apply if you currently require or may require employer-sponsored immigration support now or in the future.
#LI-Hybrid