Data Scientist III

Colorado, United States · 13 hours ago · 1 applicant

• Full-time Mid-Senior level

• 501-1,000 employees · IT Services and IT Consulting

• Skills: Data Science, Data Strategies, +8 more

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Data Scientist III

Alpha Net · Colorado, United States

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SaveSave Data Scientist III at Alpha Net

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About the job

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Job Description: Responsibilities

As a Data Scientist, you will have the opportunity to work with vast amounts of structured data to gain insights into how our employees engage with our training and service offerings. You will lead projects from data requirement gathering to data processing, modeling, and ultimately providing actionable recommendations. Additionally, you will contribute to the design, building, and maintenance of data flows to support the next generation of reporting tools and influence data strategies that promote efficient solutions and scalable plans. Coaching end users on how to interpret and utilize metrics will also be part of your role, as well as collaborating with teams to convert data insights into impactful actions.

Minimum Qualifications

Possess 5+ years of experience in strategic analytics or data science development roles Hold a Bachelor's degree in Mathematics, Statistics, Data Science, Computer Science, or relevant technical fields, or have equivalent practical experience Proficient in data querying and manipulation using SQL, Python, or R Familiarity with experimental design and measurement strategies Experience with analytics, change management, design-thinking, program and project management Demonstrate the ability to work independently and extract valuable insights from large datasets using data science techniques Preferred Qualifications Master's degree in quantitative disciplines such as Math, Statistics, Data Science, Computer Science, or Operations Research Proven success in leveraging data to drive business value and present data-driven insights Experience building strong cross-functional relationships to achieve business goals Skilled at communicating and influencing both technical and non-technical audiences (engineers, data scientists, program managers, product owners) Familiarity with developing data pipelines via SQL and Python-based ETL frameworks Background working with Learning & Development data challenges Self-motivated with experience working in ambiguous settings and driving projects with minimal guidance