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Data Scientist VI

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Spectrum

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Location:
United States , Greenwood Village

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

98780.00 - 175300.00 USD / Year
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Job Description:

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Are you ready to develop data-driven solutions that tackle Spectrum’s business challenges? As a Data Scientist VI, you will utilize your analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets, interpreting the results to drive impactful decisions for the organization, as well as mentoring more junior members of the team.

Job Responsibility:

  • Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders and explain the importance of patterns in the data
  • Lead large-scale exploratory data analyses for new data sources or new uses for existing data sources
  • Collaborate with leadership and other stakeholders on project strategy, direction and changes
  • Use time and resources effectively, prioritizing work, establishing and meeting timelines without oversight, and delivering multiple tasks at the same time
  • Close technical debts and visualizes technology roadmaps
  • Provide guidance and support to junior staff during response efforts
  • Apply appropriate level of data maintenance, data quality control and validation of code, tools, and models
  • Mentor Data Scientists I-IV

Requirements:

  • Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience
  • 4+ years of experience in data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer
  • 4+ years of programming experience
  • Ability to perform involved and independent research and analysis, effectively create and present data insights and recommendations to key stakeholders independently
  • Demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise
  • Extensive knowledge of core data science and machine learning principles and ability to identify and apply the appropriate techniques with minimal oversight
  • Proficient in at least one data science toolkit such as Python or R and able to learn additional languages and functionality
  • Comprehensive level SQL skills
  • Experience with large data sets and proficient with big data tools such as Spark and Hive
  • Familiarity with broader cloud-based infrastructure and ability to troubleshoot issues with guidance
  • In-depth knowledge of advanced mathematical and statistical concepts and the ability to learn and apply new techniques independently
  • Mastery of development of data tools and models, scripting, analysis and ETL, and ability to synthesize complex code
  • Basic understanding of data architecture, data warehouse and data marts
  • Strong command of statistical techniques and machine learning algorithms

Additional Information:

Job Posted:
March 01, 2026

Expiration:
March 04, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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