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Data Scientist

Okemos, MI

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
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What you’ll work on

Full posting
  • Develop and implement advanced statistical and machine learning models

  • Apply machine learning and predictive models to complex business problems

  • Design and run data-driven experiments to test findings and hypotheses

  • Communicate insights and results to senior stakeholders and decision-makers

  • Build new approaches to data collection and validation using structured and unstructured data

From the employer’s posting
Develops and implements advanced statistical models using casual modelling, machine learning and optimization techniques.
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.

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in computer science, mathematics, statistics or another quantitative field
  • Three years of experience working extensively with data
  • Experience with statistical modeling, machine learning and data mining
  • Programming experience, especially Python and SQL
  • Clear communication with both technical and non-technical audiences

Preferred experience

  • Knowledge of health or dental insurance, or of dental clinical practice preferred.
Qualification wording
Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other quantitative field
three years of experience working extensively with data
Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques
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
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.
Education & alternatives
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.

Tools in this posting

  • Python
  • R
  • SAS
  • SQL
Source — Tool mentions in context
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:
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.

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Status in our records
Live
First seen by us
Sep 12, 2026 · 39 days ago
Recorded sightings
25
Last seen by us
Oct 21, 2026
Reposted
once since May 23, 2026

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Job description

View original posting ↗

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.

Source details

View original posting ↗

Source notes

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Pay

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Location & working pattern

Okemos, MI

Location Specifics: Hybrid Position Job Summary:
More source context
Perform other related assigned duties as necessary to complete the Primary Job Responsibilities as described above. #LI-Hybrid Minimum Requirements:
Work authorization
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.

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