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Principal Data Scientist 

resume-library  |  United States  |  

United StatesCapitol Pl SW, GA, 30334
Information Technology/Data Entry
Work Type:
Work Time:
Full Time


Principal Data Scientist

The Principal Data Scientist focuses on predictive and prescriptive analytics that solve a business problem or inform decisions using evidence-based approaches. He/She directs teams responsible for research and implementation of advanced analytics models using large volumes of structured and unstructured data along with a diverse set of advanced analytics techniques from a variety of fields and industries. The Principal Data Scientist applies advanced analytical skills to estimate and run models. He/She provides thought leadership, strategic direction, and modeling experience. This position leverages knowledge of the business domain and a broad set of technical skills to the development of technical frameworks and solutions at the enterprise level. The Principal Data Scientist is engaged in the strategy portfolio, enterprise planning, and individual projects. This position serves as a Subject Matter Expert for the organization, spearheading Universities and industry relationships and thought leadership and engagements. This position manages others within the department.

Responsibilities and Duties

+ Evolves Advanced Technology Group roadmap and strategy to leverage Analytics/ML techniques and models to rapidly drive business and customer value based on assessing business plans for the greatest areas of opportunity

+ Establishes enterprise-wide practice model that grows and matures the Analytics/ML talent pool, accelerates the use and delivery of Analytics/ML in solutions and broadens organizational utilization for maximum impact

+ Collaborates with internal, external and cross functional teams to lead enterprise efforts to bring in new data science technologies, frameworks and methodologies

+ Works with Learning and Development teams to create training programs to grow and enhance technical and business team skills and knowledge

+ Evangelizes benefits of incorporating Analytics/ML with the goal of identifying new opportunities for embedding algorithms into existing business processes

+ Leads team of Data Scientists to conduct Proof of Concept (POC) projects as needed to vet techniques and potential business value models

+ Scopes projects for team members with diverse technical skill sets to provide business value

+ Seeks and refines data enrichment methods and new internal and external data sources

+ Consults with Infrastructure teams on development of automated processes to cleanse and integrate datasets from disparate sources

+ Works with Infrastructure teams to evaluate and implement new analytics platforms, services and methodologies

+ Performs additional, related duties as required

Knowledge and Skills

+ PhD

+ 5+ years of experience in progressive roles involving business analysis/business intelligence

+ 5+ years of experience in Analytic Software Development Lifecycle

+ 5+ years of experience as a proven leader generating Advanced Analytics solutions to address business needs

+ 5+ years of experience in direct management of each of the following (teams, projects, customer relationships)

+ Minimum of 5 years of experience implementing solutions with one or more key technology platforms including:

+ NoSQL databases (Couchbase, Cassandra, MongoDB, HIVE, etc.)

+ Cloud-based/hosted Analytics Platforms

+ MDM platforms

+ Experience with Python, Jupyter, R, Tensorflow

+ Demonstrated passion in building solutions to answer business questions and improve business processes

+ Formal training in machine learning and advanced analytical methods such as deep learning, reinforcement learning, classification, clustering, operations research, etc.

+ Formal training in descriptive statistics, inferential statistics and statistical methods such as regression

+ Skill in enterprise-level visualization and analytics platforms

+ Experience simplifying and presenting complex analytical concepts to management including C-level executives

+ Excellent verbal and written communication skills

+ Strong team building skills

+ PhD in Mathematics, Operations Research, Analytics, Computer Science, or Statistics - Preferred

+ Experience with database technologies, Master Data Management, Big Data, Data Warehousing, Business Intelligence, Data Visualization, and Analytics Platforms - Preferred

+ Experience working with diverse teams - Preferred

+ Experience with software scalability - Preferred

+ Proven experience in data warehouse, analytics platforms, and/or big data architecture design - Preferred

+ Strong analytical, communication and interpersonal skills - Preferred

+ Strong communication (written and oral) - Preferred

+ Good organizational, multi-tasking, and time-management skills - Preferred

UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law


Category: Engineering, Technology, Plant Engineering

Requisition Number:

Location: Atlanta,Georgia

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United Parcel Service (UPS)