Data Jobs in Greenwood Village, CO

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Data Scientist V

SPECTRUM Greenwood Village, CO

Greenwood Village, CO

Today

$88k - $157k/yr Full time Analytics Big Data Bigdata

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Job Description

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

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