Job Title:Data Scientist
Number of Positions:1
Location:Okemos, MI
Location Specifics:Hybrid Position
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.
