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Delta Dental of Michigan, Ohio, and Indiana seeks a Senior Data Science Practitioner to lead domain-specific analytical data model development using SQL and dbt. You will work with MS Excel and data analysis languages/frameworks to support insurance-domain insights and governance.
The role emphasizes building scalable data models, collaborating with internal stakeholders, and guiding data-driven decisions within a hybrid Okemos, MI setting.
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 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.
Senior Data Science Practitioner
1
Okemos, MI
Hybrid Position
Leads domain-specific analytical data model development using SQL and dbt, supported by tools such as MS Excel and specialized data analysis languages and frameworks.
Perform other related assigned duties as necessary to complete the Primary Job Responsibilities as described above.
Position requires a bachelor's degree in Clinical or Core Sciences, Computer Science, Business Administration or related field with a master’s degree in data science, business analytics, analytics engineering, health informatics, or related field preferred and five years of experience working extensively with data, with relevant industry working experience in applying analytical data modeling methods to domain specific subject matter. Will accept any suitable combination or education, training or experience. Position requires advanced knowledge of insurance business, the claims processing system and other business applications; experience with data modeling tools including SQL, dbt, and MS Excel; working knowledge of version control, data testing, documentation, and any of SAS, R, or Python is preferred; 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.