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Python Data Analysis Jobs in Ann Arbor, MI (NOW HIRING)

Pwc

AI & GenAI Data Scientist-Director

Detroit, MI · On-site

$155K - $410K/yr

... Python and C++ to develop and deploy AI models - Managing complex data analysis and confirming data quality and integrity within analytics frameworks - Encouraging creativity and innovation in ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Detroit, MI

$77K - $202K/yr

... Python for complex data analysis and modeling - Excelling in neural network design and reinforcement learning agents - Applying natural language processing techniques for text analytics - Leveraging ...

New

Contact Government Services, LLC

Data Engineer

Detroit, MI · On-site

$112K - $152K/yr

... Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the ...

Contact Government Services, LLC

Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

... Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the ...

Masco Corporation

Business Data Analyst

Livonia, MI · On-site

The Business Data Analyst is also the operational steward of product attribution providing hands-on ... Exposure to Python for analysis. * Prior experience supporting product attribution, item mapping ...

Socket.dev

Data Scientist

Plymouth, MI · On-site

$90 - $130/hr

... as Python, R, or a comparable tool, for data processing, automation, modeling, and analysis ... Strong preference for hands-on experience with Power BI, including dataset design, DAX, report ...

New

Conclusive Marketing

Lead Data Scientist

Detroit, MI

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 ...

Hart

Junior Data Analyst

Detroit, MI · On-site

... analysis and reporting • Familiarity with performance marketing or social media metrics (Meta ... Python) is a plus • Basic understanding of ETL processes and how data is collected, merged ...

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

... analysis, machine learning, and predictive modeling. * Proficiency in programming languages such as Python. * Strong expertise in SQL and experience working with large-scale databases and data ...

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All JobsPython Data Analysis JobsPython Data Analysis Jobs in Ann Arbor, MI

Python Data Analysis information

See Ann Arbor, MI salary details

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How much do python data analysis jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for python data analysis in Ann Arbor, MI is $57.35, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $65.14 per hour, depending on experience, location, and employer.

What is a python data analysis?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in python data analysis, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in python data analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the most commonly searched types of Python Data Analysis jobs in Ann Arbor, MI? The most popular types of Python Data Analysis jobs in Ann Arbor, MI are:
What are popular job titles related to Python Data Analysis jobs in Ann Arbor, MI? For Python Data Analysis jobs in Ann Arbor, MI, the most frequently searched job titles are:
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Python Data Analysis jobs near you
Infographic showing various Python Data Analysis job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 36% Full Time, and 64% Contract. Highlights an 40% In-person, and 60% Remote job distribution, with an average salary of $119,291 per year, or $57.4 per hour.

Data Scientist - Modeling and Analytics

AAA Life Insurance Company

Livonia, MI • On-site

Full-time

Re-posted 23 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 Data Scientist - Modeling and Analytics, you will be responsible for creating statistical models and performing analyses that drive sales and policy growth for the organization. You will partner with marketing team members, marketing managers, and other data analysts and scientists to identify business needs, gather data, build, and maintain effective models, and assess model performance over time. This role requires proficiency in SQL for data manipulation, Sagemaker or other AI/ML tools for model building, R or Python for data analysis, and a visualization tool such as PowerBI for quickly assessing model performance.
  • Build, maintain, and automate models to predict purchase propensity, policy premium, policy lapse/retention, cross-selling, upselling, next best action, and other consumer behaviors using both internal data, census data, appended aggregated data, and macroeconomic data. Recommend marketing distribution strategies leveraging data and models.
  • Conduct advanced exploratory data analysis. Perform model interpretability and explainability analysis.
  • Leverage specific metrics for model performance evaluation (e.g., precision, recall, F1 score). Implement A/B testing and experimental design and quantitative benchmarks for model improvement
  • Apply data privacy and compliance rules under regulations like GDPR, CCPA. Apply ethical AI principles. Apply model fairness and bias mitigation techniques.
  • Conduct analyses to assess model performance and campaign performance, both against test datasets and actual results once deployed.
  • Forecast campaign results based on models built and validate forecast against actuals.
  • Work with marketing data architects and engineers to ensure data is clean, complete, correct, and suitable for modeling using AI/ML platforms.
  • Develop and maintain data pipelines. Implement feature engineering techniques. Find, recommend, and purchase additional data to use in model building
  • Proactively identify opportunities for model improvement and need for additional modeling projects.
  • Maintain clear and organized documentation of data, methodologies, and results.
  • Implement automation in existing processes to improve overall efficiency.
  • Perform ad hoc analysis to support Marketing Distribution efforts
  • 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:
  • Skilled in cross-functional collaboration, agile methodologies, project management and stakeholder communication.
  • 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
  • Able to effectively communicate and translate complex, technical finding in a candid, clear, concise, and non-technical fashion to all audiences
  • Maintain perspective between the big picture and the tactical details. Remains aligned with the organization's strategic plan.
  • Stellar attention to detail, including maintaining accuracy and consistency across a suite of data science 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.
  • Ability to present complex analytical findings with persuasiveness and succinctness.

Preferred Qualifications:
  • Master's degree in Statistics, Economics, Mathematics, Data Science, or related field. Experienced in marketing analytics or customer behavior modeling.
  • 5 to 7 years of experience in data science, including hands-on experience with Machine Learning (e.g., scikit-learn, TensorFlow, PyTorch, DataRobot, Databricks) and Generative Artificial Intelligence. Experience with automated model deployment and monitoring tools.
  • Possess outstanding analytical, modeling, problem-solving, and critical-thinking skills.
  • Experienced with cloud platforms such as AWS, Azure, and Google Cloud. Familiar with big data technologies (Spark, Hadoop)
  • Strong knowledge of machine learning algorithms and their applications in automated systems. Experience with advanced modeling techniques like ensemble methods, time series analysis, and probabilistic modeling
  • High proficiency in Python or R for statistical analysis, model development, and process automation. Proficient+ with SQL for data extraction and manipulation.
  • Proficiency with data visualization tools (Power BI, Tableau, or similar) and their automation capabilities

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

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