ZipRecruiter

Log In

1

Senior Director Data Science Jobs in Michigan (NOW HIRING)

Delta Dental of Michigan

Data Scientist

Okemos, MI · Hybrid

To implement quantitative and predictive models, data science experiments using literate ... Communicates insights and results to senior stakeholders and decision-makers. * Develops innovative ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · On-site

To implement quantitative and predictive models, data science experiments using literate ... Communicates insights and results to senior stakeholders and decision-makers. * Develops innovative ...

Woven

Senior Data Scientist - AD/ADAS

Ann Arbor, MI · On-site

$85 - $120/hr

Our data science engineers employ statistical modelling and measurement frameworks to model the distribution of road events in the real world, and inform our long-term validation and ML training data ...

UNAVAILABLE

Senior Data Scientist

Birmingham, MI · On-site

$73.15 - $96.20/hr

The Senior Data Scientist collaborates with planning, audience strategy, and analytics teams to ... In this position, you'll provide valuable expertise to the data science group by sharing insights ...

previous page

Showing results 41-60

All JobsData Science JobsSenior Director Data Science JobsSenior Director Data Science Jobs in Michigan

Senior Director Data Science information

What does a senior director of data science do?

A Senior Director of Data Science leads and oversees the data science strategy for an organization, managing teams of data scientists, analysts, and engineers. They are responsible for aligning data initiatives with business goals, guiding advanced analytics projects, and ensuring the effective use of data to drive decision-making. This role often involves collaborating with other executives to develop data-driven solutions, establishing best practices, and setting the vision for how data science supports organizational growth.

How does a senior director of data science typically collaborate with other departments within an organization?

A Senior Director of Data Science frequently partners with leaders from product, engineering, marketing, and business strategy to align data-driven insights with organizational goals. They facilitate cross-functional collaboration by translating complex analytics into actionable business recommendations, ensuring that data science initiatives support top-level priorities. This role often leads a team of data scientists while serving as a bridge between technical teams and non-technical stakeholders, fostering a culture of data-informed decision-making throughout the company.

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

To thrive as a Senior Director Data Science, you need deep expertise in advanced analytics, machine learning, statistical modeling, and a strong educational background in a quantitative field, often with a master's or PhD. Familiarity with data platforms (like AWS, Azure), programming languages (such as Python, R), and leadership in deploying enterprise-level data solutions is vital, along with experience managing large teams. Exceptional strategic thinking, communication, and stakeholder management skills set top candidates apart in this role. These abilities are crucial for driving data-driven business strategies, leading high-performing teams, and ensuring impactful outcomes at the organizational level.

What is the difference between Senior Director Data Science vs Data Science Manager?

AspectSenior Director Data ScienceData Science Manager
ResponsibilitiesOversees multiple teams, sets strategic vision, aligns data science initiatives with business goalsManages day-to-day operations of data science teams, executes projects, and ensures deliverables
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsRelevant degree, experience in managing data projects, technical expertise
Work EnvironmentStrategic, cross-departmental, executive collaborationOperational, team-focused, project management

The Senior Director Data Science typically holds a higher strategic leadership role, overseeing multiple teams and aligning data initiatives with company goals. In contrast, a Data Science Manager focuses on managing teams and executing projects. Both roles require strong technical backgrounds, but the Senior Director emphasizes strategic vision and leadership across departments.

What are popular job titles related to Senior Director Data Science jobs in Michigan?

For Senior Director Data Science jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Senior Director Data Science jobs in Michigan look for?

The top searched job categories for Senior Director Data Science jobs in Michigan are:

What cities in Michigan are hiring for Senior Director Data Science jobs?

Cities in Michigan with the most Senior Director Data Science job openings:

Senior Director Data Science jobs near you
Infographic showing various Senior Director Data Science job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 91% In-person, and 9% Hybrid job distribution.

Data Scientist

Delta Dental of Michigan

Okemos, MI • Hybrid

Full-time

Medical, Dental

Re-posted 28 days ago

Job description

Job Title:

Data Scientist

Number of Positions:

1

Location:

Okemos, MI

Location Specifics:

Hybrid Position

Job Summary:

At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation.


At Delta Dental, we celebrate our All In culture. It's a mindset, feeling and attitude we wrap around all that we do - from taking charge of our careers, to helping colleagues and lending a hand in the community.

Position Description:

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate and prepare data using appropriate programmatic and non-programmatic data transformation techniques, continuously learn new techniques and methods to improve data science outcomes.

Primary Job Responsibilities:

  • Develops and implements advanced statistical models using casual modelling, machine learning and optimization techniques.
  • Leads the team incorporating new Data Science techniques to enhance the organization's best practices.
  • Applies machine learning algorithms and predictive models to solve complex business challenges.
  • Designs and conducts data-driven experiments to validate findings and hypotheses.
  • Communicates insights and results to senior stakeholders and decision-makers.
  • Develops innovative approaches to data collection and validation, incorporating both structured and unstructured data sources.

Perform other related assigned duties as necessary to complete the Primary Job Responsibilities as described above.

#LI-Hybrid

Minimum Requirements:

Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other quantitative field with a master's degree in Data Science, Business Analytics, Health Informatics, or related field preferred, and three years of experience working extensively with data. Knowledge of health or dental insurance, or of dental clinical practice preferred.

Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques; proficiency with statistical software packages like SAS, R, or equivalent preferred; experience with programming languages, especially Python and SQL, or equivalent;
excellent communication skills and the ability to clearly and concisely communicate complex information to a variety of audiences, both technical and non-technical; the ability to collaborate in a team.

The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.

Apply