• Find preferred job with Jobstinger
  • ID
    #45635677
  • Job type
    Permanent
  • Salary
    $190,000 - $230,000
  • Source
    aquesst
  • Date
    2022-08-30
  • Deadline
    2022-10-29
 
Permanent

Vacancy expired!

Principal Data ScientistPermanent Opportunity in Duluth, GA

Overview: The Principal Data Scientist will join a best-in-class data science CoE team in a fast-changing retail environment. The Principal Data Scientist will design, develop, and implement advanced data science models and machine learning solutions and applications for priority business use cases across enterprise, such as online experience, marketing, merchandising, supply chain, finance, and store operations. The Principal Data Scientist will apply cutting-edge data science techniques to large amounts of data to drive actionable insights and develop intelligent and scalable AI solutions. This role will report to Sr. Director, Enterprise Data Science.

Essential Functions: Analytics
  • Execute best-in-class advanced analytics with scalable and reusable codebase and models that solve business problems
  • Coordinate closely with Business Unit counterparts to generate and test hypotheses that align with priority use cases
  • Comply with analytics standards, including guidelines for tailoring analytics methodologies to specific use case needs (e.g., ML, AI, descriptive analytics)
  • Define batch or real-time streaming data needs, evaluate data quality, and extract/manipulate data in a "Big Data" environment
  • Define internal and external data needs, quality measures, and suitability for use
  • Build predictive models to identify opportunities to provide further support to Business Units
  • Generate high impact visualizations to communication findings generated from data
  • Work with Data and Solution Architecture teams as required to implement data pipelines and tools to ensure efficient and seamless execution of analytics
  • Collaborate with Data Engineering teams to build enterprise-wide data assets that will accelerate delivery of new use cases and help train machine learning models
  • Collaborate with Tech teams during scale-up and roll-out of analytics applications
  • Oversee multiple projects at any given time, utilizing different analytical skillsets where applicable.
Culture
  • Serve as a leader in the Enterprise Data & Analytics organization, providing technical guidance and oversight to lead Data scientists on the team in partnership with the Sr. Director.
  • Community builder to foster data and analytics culture and to support data-driven thinking and discussions across priority analytics use case
  • Embody data-driven culture
  • Provide support for business users to leverage insights and provide high-value impact
  • Maintain an up-to-date view on methods being used in the data science community
  • Bolster awareness, knowledge, and conviction around data-driven practices and behaviors, increasing digital IQ of BUs
  • Be agile in identifying data issues and taking action to remediate
Key Performance Indicators
  • Development and deployment of algorithms and methodologies for analytics use cases
  • Consistent application of coding and methodology best practices
  • Metrics that measure the models' effectiveness in meeting business goals

Requirements:
  • Ph.D. degree required
  • 8+ years of work experience, and at least 5 years of demonstrable experience in data science within retail organizations
  • Data scientist fluent in complex algorithms and analytics methodologies across multiple platforms and languages, including Google Cloud Platform
  • Analytics expert with experience collaborating with business functions to deliver solutions that support decision making
  • Understanding of core analytical and statistical methods, including regression, segmentation/clustering, predictive modeling, time-series analysis, and machine learning techniques
  • Excellent written and verbal communication skills with the ability to read, write and interpret business and technical documents
  • Practices open and continuous communication, values keeping others informed, effectively presenting information in a clear, concise manner.
  • Excellent leadership, facilitation, and interpersonal skills, with the ability to work across functional lines and at many levels.
  • Ability to think creatively, strategically, and technically
  • Ability to work a flexible schedule based on department and Company needs.
  • Knowledge of MS Office computer programs is required.

Compensation:
  • $190,000 to $230,000, depending on experience.
  • 20% bonus
  • $50,000 in equity
Must be local and eligible without sponsorship.

Vacancy expired!

Report job