Data Scientist

Delta Dental; Okemos (MI); Presencial; USD 95 000 - 140 000; Tempo integral

Resumo da oferta

Delta Dental of Michigan, Ohio, and Indiana seeks a data science professional to implement quantitative and predictive models, design experiments, and develop visualizations. You will curate data, apply ML algorithms to solve business challenges, and communicate insights to senior stakeholders.

You will contribute to data collection and validation across structured and unstructured sources, while collaborating with cross-functional teams to drive health analytics initiatives.

Qualificações

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field; master’s preferred.
• Three years of experience working with data.
• Experience with Python and SQL; SAS or R preferred.

Responsabilidades

• Develops and implements advanced statistical models using ML and optimization techniques.
• Leads the team incorporating new data science techniques.
• Applies machine learning algorithms to solve business challenges.
• Designs and conducts data-driven experiments to validate findings.
• Communicates insights to senior stakeholders and decision-makers.
• Develops innovative data collection and validation approaches using structured and unstructured data.

Conhecimentos

Statistical modeling

Machine learning

Data mining

Communication

Team collaboration

Formação académica

Bachelor's degree in quantitative field

Master's degree in Data Science or related field

Ferramentas

SAS

R

Python

SQL

Descrição da oferta de emprego

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.

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.