The Associate Data Scientist will be generating ideas for exploratory analysis to shape future projects and provide recommendations for actions, leading the development of models and techniques to deliver personalized experiences for our customers, leveraging data to perform intensive analysis across all areas of our business to drive product development. This role will ensure that the analysis results drives next iteration of changes to product functionality on desktop, mobile web and mobile app platforms. He or she will be working with cross-functional teams and present findings to senior management to drive business decisions.
MAJOR TASKS, RESPONSIBILITIES AND KEY ACCOUNTABILITIES
50% - Model Preparation: Establish scalable, efficient processes for large scale data analyses, model development and model implementation
30% - Model Development and Deployment: Design and develop algorithms and models to use against large datasets to create business insights
20% - Communication and Visualization: Present analysis and resulting recommendations to senior management; Leverage data to present a compelling business case to optimize investments and operations
NATURE AND SCOPE
This position reports to the Senior Manager Data Science.
This position has 0 direct reports.
ENVIRONMENTAL JOB REQUIREMENTS
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Typically requires overnight travel less than 10% of the time.
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Years of Relevant Work Experience: 2 years
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Master's degree preferred
Working knowledge of analytical/statistics software (e.g., SPSS, SAS, R, Stata)
Ability to develop and apply advanced mathematical/statistical techniques
Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences
Excellent written and verbal communication skills
Ability to build scalable systems that analyze huge data sets and make actionable recommendations Strong communication and data presentation skills Ability to quickly adapt to new technologies, tools and techniques Flexible and responsive
able to perform in a fast paced, dynamic work environment and meet aggressive deadlines Ability to work with technical and non-technical team members
Knowledge, Skills, Abilities and Competencies:
Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
Collaborates - Building partnerships and working collaboratively with others to meet shared objectives
Communicates Effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
Customer Focus - Building strong customer relationships and delivering customer-centric solutions
Drives Results - Consistently achieving results, even under tough circumstances
Manages Conflict - Handling conflict situations effectively with minimal noise
Nimble Learning - Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder