Data Scientist V

Spectrum is seeking a Data Scientist V to drive advanced analytics initiatives from concept through delivery at its onsite team in Greenwood Village, Colorado. The role blends building data-driven strategies with hands-on project leadership, data visualization, and mentorship of junior data scientists to strengthen the organization’s analytical capabilities. The position offers a yearly salary range of USD 88,200 to 156,600 and requires on-site work in Colorado.

Responsibilities

• Collaborate on designing and implementing statistical data quality procedures for existing and new data sources
• Research and apply advanced data science principles and techniques to inform business strategies
• Assist in creating and presenting data insights and actionable recommendations to stakeholders
• Plan, manage and monitor projects independently from concept through implementation
• Visualize and report data findings in clear formats to provide insights and explain data patterns
• Lead exploratory analyses for new data sources or innovative uses of current data
• Apply rigorous data maintenance, quality control and validation of code, tools and models
• Mentor and guide junior data scientists to foster professional growth

Requirements

• Bachelor’s degree in computer science, statistics, operations research or equivalent combination of education and experience
• 3+ years of experience in data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA or Engineer
• 3+ years of programming experience
• Ability to perform independent research and analysis
• Extensive knowledge of core data science and machine learning principles
• Proficiency in at least one data science toolkit such as Python or R with ability to learn new languages
• Comprehensive SQL skills
• Working knowledge of cloud-based infrastructures
• Experience working with large data sets and big data tools such as Spark and Hive
• Understanding of advanced mathematical and statistical concepts and ability to learn new techniques independently
• Command of developing data tools and models, scripting, analysis and ETL
• Basic understanding of data architecture, data warehouse and data marts
• Strong command of statistical techniques and machine learning algorithms
• Ability to synthesize complex code and determine where to invest time
• Ability to present findings to audiences with varied technical expertise

Technologies

• Python
• R
• SQL
• Spark
• Hive

Working Conditions

• Office environment