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Director Data Analyst Machine Learning Jobs in Rochester Hills, MI

Varsity Tutors

Machine Learning Tutor

Detroit, MI · Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · Remote

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar ...

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

Translate complex business questions and challenges into well-defined data science problems and analytical tasks. * Develop, train, and evaluate statistical and machine learning models to address ...

SupportFinity™

Data Analyst

Southfield, MI · On-site

$70 - $90/hr

This is a Technical Data Analyst role. The candidate would be expected to help develop analytic ... Training/Learning operations experience preferred * 1-3 years of automotive operations experience ...

R3 Tek

Data Analyst

Detroit, MI

$45/hr

Data Analyst Location:Detroit,MI Duration:Long Term OVERVIEW * The Data Analyst must be able to ... Direct:7328373458 Website: www.r3tek.com

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

Train new machine learning models to solve complex business problems. * Prototype new AI solutions ... Data Analysis & Visualization : Tableau, PowerBI, Pandas, NumPy * Proven track record delivering AI ...

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All JobsData Analyst Machine Learning JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Rochester Hills, MI

Director Data Analyst Machine Learning information

See Rochester Hills, MI salary details

$31.3K

$76.1K

$125.2K

How much do director data analyst machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for director data analyst machine learning in Rochester Hills, MI is $76,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $89,300.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are popular job titles related to Director Data Analyst Machine Learning jobs in Rochester Hills, MI?

For Director Data Analyst Machine Learning jobs in Rochester Hills, MI, the most frequently searched job titles are:

What job categories do people searching Director Data Analyst Machine Learning jobs in Rochester Hills, MI look for?

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Director Data Analyst Machine Learning jobs near you

Senior Machine Learning / MLOps Engineer

HTC Global Services

Dearborn, MI • On-site

$112K - $148K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Senior Machine Learning / MLOps Engineer Overview / Summary

We are seeking a Senior Machine Learning / MLOps Engineer to build scalable and robust machine learning data pipelines in the cloud and support AI-driven initiatives. This role will focus on ML operations, cloud data engineering, data governance, production data pipelines, infrastructure, and continuous optimization of data and ML solutions.

The role requires strong technical communication skills and the ability to collaborate with data analytics stakeholders, cross-functional teams, and management.

Key Responsibilities
  • Build scalable and robust ML data pipelines in the cloud to process large volumes of connected vehicle data.
  • Optimize existing ML solutions for performance, security, and cost-effectiveness.
  • Utilize continual learning methods to continuously improve model performance.
  • Develop analytical data products using streaming and batch ingestion patterns on Google Cloud Platform.
  • Build data pipelines to monitor data quality and the performance of analytical models and AI solutions.
  • Maintain data platform infrastructure using Terraform.
  • Continuously develop, evaluate, and deliver code using CI/CD practices.
  • Collaborate with data analytics stakeholders to streamline data acquisition, processing, and presentation.
  • Implement an enterprise data governance model focused on data protection, sharing, reuse, quality, and standards.
  • Enhance and maintain DevOps capabilities of the data platform.
  • Optimize existing data solutions, including pipelines, products, and infrastructure, for performance, security, reliability, and cost.
  • Work in an Agile product team using Test Driven Development (TDD), continuous integration, and continuous deployment (CI/CD).
  • Address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode throughout the development lifecycle.
  • Perform data mapping and data lineage activities and document information flows.
  • Monitor production pipelines and provide production support by addressing production issues according to SLAs.
  • Analyze connected vehicle data to support new product development and production vehicle improvements.
  • Identify data quality, vehicle, and feature issues and work with business owners to resolve them.
  • Communicate technical concepts clearly and advocate for well-designed solutions.
  • Continuously enhance domain knowledge of connected vehicle data, connected services, and algorithms, models, and solutions developed by data scientists and AI engineers.
  • Stay current with data engineering practices and contribute to technical direction while maintaining a customer-centric approach.
  • Mentor and advise junior team members to expand ML Ops expertise across the organization.
Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field.
  • Master's degree or foreign equivalent in a related field with 4 years of experience, or an equivalent combination of education and experience, including 6+ years with a bachelor's degree.
  • At least 4 years of professional experience in data engineering, data product development, and software product launches.
  • At least 4 years of experience with at least three of the following: Java, Python, Spark, Scala, SQL.
  • At least 3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines.
  • Deep knowledge of implementing ML/AI Ops on Google Cloud Platform.
  • Experience with Machine Learning and MLOps.
  • Experience with Python.
  • Knowledge of TensorFlow.
  • Experience with data governance.
  • Knowledge of Artificial Intelligence and Expert Systems.
  • Experience with GitHub.
  • Experience with cloud data warehouses such as Google BigQuery, Amazon Redshift, or Microsoft Azure Synapse Analytics.
  • Experience with workflow orchestration tools such as Airflow.
  • Experience with relational database management systems such as MySQL, PostgreSQL, or SQL Server.
  • Experience with real-time data streaming platforms such as Apache Kafka or Google Cloud Platform Pub/Sub.
  • Experience with microservices architecture for large-scale real-time data processing applications.
  • Experience with REST APIs for compute, storage, operations, and security.
  • Experience with DevOps tools such as Tekton, GitHub Actions, Git, GitHub, Terraform, and Docker.
  • Experience with project management tools such as Atlassian JIRA.
  • Strong technical communication and collaboration skills.
  • Ability to work in an Agile environment.
  • Ability to troubleshoot data pipeline and product issues.
  • Ability to simplify and clearly communicate complex data and software concepts.
  • Ability to work with cross-functional teams and all levels of management independently.
Preferred Qualifications
  • Ph.D. or foreign equivalent degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field.
  • 2 years of experience with ML model development and/or MLOps.
  • Experience contributing code to open-source data/software engineering projects.
  • Experience architecting cloud infrastructure and handling application migrations and upgrades.
  • Google Cloud Platform Professional Certifications.
  • Knowledge of telematics.
  • Experience with data modeling, data mining, and database design.
  • Experience implementing automation across data pipelines to minimize development and production labor.
  • Experience working from concept through operations and providing technical subject matter expertise for successful deployment.
  • Strong analytical skills for profiling data and troubleshooting data pipeline/product issues.
  • Passion for experimenting with and implementing data engineering methods and techniques.
  • Ability to mentor and advise junior team members.

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

#LI-Hybrid #LI-RM1

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