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Metrics Jobs in Michigan (NOW HIRING)

At Metric we have an unmatched record of placing individuals with industry leaders, as well as family-owned firms. If you are interested in a highly engaging opportunity involving building enclosures ...

Machine Tool Builder

Novi, MI · On-site

$19.25 - $24.75/hr

Metric, 3/8" & ½" allen head sockets * Scribe and 6" scale * Tap handle and center punch * Air grinder * ½" torque wrench (certified in-house for use) * Feeler gauges

Machine Tool Builder

Novi, MI · On-site

$19.25 - $24.75/hr

Metric allen wrenches and metric wrenches * Metric tape measure * Metric, 3/8" & ½" allen head sockets * Scribe and 6" scale * Tap handle and center punch * Air grinder * ½" torque wrench ...

The incumbent is provided weekly branch performance metrics to proactively develop and implement improvement measures, using Lean and Six Sigma principles as a tool to refine activities within the ...

Branch Manager

Saginaw, MI · On-site

$70K - $85K/yr

The incumbent is provided weekly branch performance metrics to proactively develop and implement improvement measures, using Lean and Six Sigma principles as a tool to refine activities within the ...

We are looking for someone who has experience driving performance, managing accountability, and operating in a metrics-driven recruiting environment. This is not an entry-level leadership opportunity.

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How much do metrics jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for metrics in Michigan is $36.55, according to ZipRecruiter salary data. Most workers in this role earn between $10.05 and $51.97 per hour, depending on experience, location, and employer.

What professions make $500,000 a year?

In the field of metrics and data analysis, senior roles such as Chief Data Officer, Director of Analytics, or Data Science Lead can earn $500,000 or more annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data management and analytics tools, and often involve strategic decision-making responsibilities.

What profession makes $400,000 a year?

In the field of metrics and data analysis, senior roles such as Chief Data Officer or Director of Data Science can earn $400,000 or more annually, especially in large corporations or tech companies. These positions typically require extensive experience, advanced skills in data management, and often involve leadership responsibilities and strategic decision-making.

What is the difference between Metrics vs Data Analyst?

AspectMetricsData Analyst
Primary RoleDefine, track, and interpret key performance indicators (KPIs) and metricsCollect, analyze, and interpret data to support business decisions
Required SkillsUnderstanding of metrics, data visualization, basic analyticsStatistical analysis, data manipulation, reporting tools
Work EnvironmentBusiness teams, marketing, finance, operationsData teams, business units, consulting firms
Common CertificationsNone specific, familiarity with analytics toolsGoogle Data Analytics, Microsoft Excel, SQL certifications

Metrics professionals focus on defining and monitoring KPIs to measure performance, while Data Analysts analyze data sets to generate insights that inform strategic decisions. Both roles require analytical skills but differ in scope and focus within the data ecosystem.

How does a Metrics Analyst typically collaborate with other departments to improve business performance?

A Metrics Analyst frequently works cross-functionally, partnering with teams such as marketing, sales, operations, and finance to provide data-driven insights. They gather and interpret performance data, then present actionable recommendations tailored to each department’s goals. Effective communication and collaboration are key, as analysts often facilitate meetings to discuss findings, align on KPIs, and support strategic decision-making. This collaborative environment not only enhances business outcomes but also helps analysts develop a broad understanding of the organization's operations.

What are metrics in a business context?

Metrics are quantifiable measures used to track and assess the status of a specific business process. They help organizations evaluate how well they are performing in relation to their goals and objectives. Common metrics include sales figures, customer satisfaction scores, website traffic, and employee productivity. By analyzing these metrics, businesses can identify areas for improvement and make informed decisions.

What job makes $10,000 a month without a degree?

In the field of metrics, roles such as data analysts, business analysts, or performance analysts can earn around $10,000 monthly with significant experience and skills in data tools like Excel, SQL, or Tableau. These positions often require strong analytical abilities and industry knowledge but may not require a formal degree if complemented by certifications or proven expertise.

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

To thrive as a Metrics Analyst, you need strong analytical skills, proficiency in statistics, and usually a degree in mathematics, statistics, or a related field. Familiarity with data analysis tools such as Excel, SQL, Tableau, or Python is essential, along with knowledge of data visualization techniques. Attention to detail, critical thinking, and effective communication are important soft skills for interpreting data and presenting findings to stakeholders. These skills ensure accurate measurement, actionable insights, and informed decision-making within organizations.

What are metrics in a job?

Metrics in a job refer to measurable indicators used to evaluate performance, progress, or success in specific tasks or objectives. They help employers and employees track productivity, quality, and efficiency, often using tools like dashboards or data analysis software. Understanding and managing relevant metrics is essential for achieving job goals and improving performance.
Senior Data Scientist - Metrics

Senior Data Scientist - Metrics

May Mobility

Ann Arbor, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.
Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 500,000 autonomous rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.
May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. As we advance toward widespread deployment, the ability to measure safety and comfort objectively, accurately, and at scale is critical. The Senior Data Scientist in this role will shape how we evaluate AV performance, uncover system vulnerabilities, and ensure that every driving decision meets the highest standards of safety and passenger experience. Your work will directly influence product readiness, inform engineering priorities, and accelerate the path to building trustworthy, human-centered autonomous driving systems.
Responsibilities
  • Develop and refine safety and comfort metrics for evaluating autonomous vehicle performance across real-world and simulation data.
  • Build ML and non-ML models to detect unsafe, uncomfortable, or anomalous behaviors.
  • Analyze large-scale drive logs and simulation datasets to identify patterns, regressions, and system gaps.
  • Collaborate with perception, prediction, behavior, and simulation teams to integrate metrics into workflows.
  • Communicate insights and recommendations to engineering leaders and cross-functional teams.

Skills
Success in this role typically requires the following competencies:
  • Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark).
  • Strong understanding of vehicle dynamics, kinematics, agent interactions, and road/traffic elements.
  • Expertise in analyzing high-dimensional or time-series data from sensors, logs, and simulation systems.
  • Excellent technical communication skills with the ability to clearly present complex model designs and results to both technical and non-technical stakeholders.
  • Detail-oriented with a focus on validation, testing, and error detection.

Qualifications and Experience
Required
  • B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field.
  • 5+ years of experience in data science, applied machine learning, robotics, or autonomous systems.
  • 2+ years working in AV, ADAS, robotics, or another safety-critical domain involving vehicle behavior analysis.
  • Demonstrated experience developing or evaluating safety and/or comfort metrics for autonomous or robotic systems.
  • Hands-on experience working with real-world driving logs and/or simulation data.

Desired
  • Background in motion planning, behavior prediction, or multi-agent interaction modeling.
  • Experience designing metric-driven development, KPIs, and automated triaging pipelines.

Benefits and Perks
  • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
  • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
  • Rich retirement benefits, including an immediately vested employer safe harbor match.
  • Generous paid parental leave as well as a phased return to work.
  • Flexible vacation policy in addition to paid company holidays.
  • Total Wellness Program providing numerous resources for overall wellbeing

Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.
Want to learn more about our culture & benefits? Check out our website!
May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.
Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.
Salary Range
$163,477-$240,408 USD