Data Science Analyst I - ACoE

We have an exciting Data Science Analyst I opportunity available within the Analytics Center of Excellence (ACoE) – the power hub of analytics for Blue Cross Blue Shield of Michigan (BCBSM)! 

About the Role:

With significant supervision, responsible for conducting data discovery and data analysis. Develop moderately complex algorithms, solve complex business issues using statistical, algorithmic, mining and visualization techniques, most notably machine and algorithms. Work under the supervision of the project technical lead to develop components within the advanced analytics solution for complex business problems.

Please Note: Hybrid work structure, which requires working minimum 1-day per week on-site at our downtown Detroit office (we provide free parking that is within covered structure connected directly to our building).

In this Data Scientist Analyst I opportunity, you will: 

• Perform data querying, processing, and manipulation of data sets using state of the art data processing and analytics software. 
• Through data mining techniques, discover data patterns, generate insights, and derive inferences that drive decisions that will generate additional hypotheses, optimize business objectives, and help scope the advanced analytics assets.
• Support the successful design, development, and implementation of advanced analytics through data mining, machine learning, and descriptive and/or predictive model building using state of the art analytics software, e.g., Python.
• Produce statistical analyses and data visualizations using tools such as Tableau.  Communicate analytic insights to technical team lead and business stakeholders to ensure models are well understood. 
• Take part in training (online, classroom, webinars, etc.) to increase skill set and technical capabilities to better serve the needs of the business. Share training materials and communicate knowledge gained to other Data Science staff to maximize knowledge transfer.

QUALIFICATIONS

• Bachelor’s degree in Business, Data Science, Statistics, Economics, Engineering, Computer Science, Operations Research, or related field is required. 
• Note: this is a more entry-level role into Data Science - a minimum of one (1) year of related experience is preferred (experience may include relevant school projects, experiences, and internships).
• Previous experience programing (at least one language) is required. Python language experience is preferred.
• Basic knowledge in mining and visualizing data is required.
• Basic knowledge of building advanced analytics assets using machine learning algorithms, e.g., logistic regression, random forests, gradient boosting machines, etc. is required.
• Basic knowledge around the diagnostic measures to evaluate statistical and machine learning models is required.
• Basic foundational knowledge in mathematics, probability, and data structures and algorithm design is required.
• Basic knowledge in using various analytical software to write and implement algorithms is required.
• Basic skills in Microsoft Outlook, Word, Excel, and PowerPoint are required.
• Ability to clearly communicate findings to project technical lead and business stakeholders is required.

All qualified applicants will receive consideration for employment without regard to, among other grounds, race, color, religion, sex, national origin, sexual orientation, age, gender identity, protected veteran status or status as an individual with a disability.