Lead Data Scientist

Charlotte, Carolina del Norte, EE. UU. Sol. nº 1928
jueves, 17 de noviembre de 2022

Summary / Primary Role:

The Lead Data Scientist will provide key support to the Global Data Services team through development of a robust AI/ML footprint within the organization, and well as helping guide the strategic use of data science principles throughout the Data and Analytics ecosystem. The Lead Data Scientist should be passionate about understanding Odyssey’s businesses and be driven to leverage technology to solve the most complex business challenges.   

 

Principal Duties and Responsibilities:

(Management may amend or assign duties and responsibilities to this job at any time)

  • Review and approve methodologies used for advanced analysis projects (predictive models, clustering/segmentation, etc.) by junior team members and others
  • Identify the right lines of questioning for solving business challenges
  • Strong AI/ML development for both conceptual design and practical deployment
  • Lead complex projects using wide breadth of data sciences and advanced techniques
  • Lead prototyping (what –ifs) supporting pilot programs for R&D purposes
  • Familiarity with large scale data processing tools like Hadoop and Spark
  • Perform research and analysis on large data solutions
  • Design and implement scalable predictive models, classifiers leveraging machine learning, data regression
  • Work closely with software engineers and architects to extract, transform and standardize data for optimal use for analytic tools 
  • Work with Data Engineering and Application Devs to incorporate data best practices
  • Establish strong relationships with all stakeholders and ensure work is prioritized according to business need and opportunity
  • Work closely with product teams to implement algorithms to enable data driven business decisions
  • Provide peer leadership to Junior team members. 

Qualifications and Key Skills:

(The following are representative of the education, experience, knowledge, skills or ability required for this position)

  • Bachelor's Degree in Data Science/Analytics, Computer Information Systems, Economics, Physics, Finance, Business or a closely related field 
  • 5+ years of experience in practical and production ready data science application, particularly AI and ML decision making or decision augmenting tools 
  • Ability to analyze various kinds of data and concluding actionable insights
  • Experience in developing new data pipelines and optimizing existing pipelines 
  • Demonstrated ability to connect business needs to data science tools for continual and scalable use 
  • Exceptional technical writing skills 
  • Ability to communicate complex data in a simple, actionable way 
  • Strong analytical background, preferably statistics part of the academic curriculum
  • Ability to work independently and with team members from different backgrounds 
  • Excellent attention to detail 

Work Environment:

Normal office environment.   

 

Physical Demands:

Must operate normal office equipment such as a phone and a computer.  Prolonged periods sitting at a desk and working on a computer.   

Otros detalles

  • Grupo de puestos Technology
  • Tipo de pago Salario
Location on Google Maps
  • Charlotte, Carolina del Norte, EE. UU.