-
ID
#45635677 -
Job type
Permanent -
Salary
$190,000 - $230,000 -
Source
aquesst -
Date
2022-08-30 -
Deadline
2022-10-29
Principal Data Scientist
Georgia, Duluth, 30095 Duluth USAPermanent
Vacancy expired!
- 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.
- 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
- 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
- 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.
- $190,000 to $230,000, depending on experience.
- 20% bonus
- $50,000 in equity
Vacancy expired!
Report job