Senior Data Scientist - Home Delivery Logistics

Profile

Description

This is a golden opportunity to join an incredible team working on important problems. CenterWell Pharmacy utilizes multiple shipping carriers and methods to deliver life saving therapies to their homes of our members. However, rising costs, increasing member demands, and a changing industry dynamics offer endless challenges to overcome. Challenges we aim to address through data mastery.

The Senior Data Scientist for Home Delivery Logistics (HDL) uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex shipping, production, and member data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

Responsibilities

Are you the type of person who gets excited about discovering insights in data that few have ever considered? Are you someone who wants to make deep impact in the lives of others? Do you hold yourself to a high standard of work and want to be in a culture of like minded folks?

If so... this might be your golden opportunity to join a truly unique and dynamic team.

The Senior Data Scientist for Home Delivery Logistics develops, maintains, and collects structured and unstructured data sets for analysis and reporting. You'll create reports, projections, models, and presentations to support our business strategy and tactics. You'll aim to influence our home delivery logistics strategy. You'll makes decision on moderately complex to complex issues regarding technical approach for project components, and you'll often work without direction - pursuing opportunities that you'll help define. You'll get to exercise considerable latitude in determining objectives and approaches to assignments.

Required Qualifications


Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience
Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors
Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting
Experience bringing structure to unstructured data sets.
Experience in creating reports, projections, models, and presentations to support business strategy and tactics
Ability to make decisions on moderately complex to complex issues regarding technical approach for project components
Must be passionate about contributing to an organization focused on continuously improving consumer experiences


Preferred Qualifications


Master's Degree
PhD


Additional Information

#LI-ER1

Scheduled Weekly Hours

40

Company info

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