Assist senior data scientists with data collection, preprocessing, cleaning, and basic statistical analysis. Support model development, perform basic visualizations, and document processes and findings while learning and applying data science techniques.
Associate Data Scientists assist in analyzing data and developing data-driven insights. Responsibilities include data collection, preprocessing, and basic statistical analysis. You will work under the guidance of senior data scientists to learn and apply data science techniques. Basic knowledge of data analysis tools and statistical methods is required.
ResponsibilitiesAssist in data analysis and model development, Support the preparation and cleaning of data for analysis, Document data science processes and findings, Collaborate with senior data scientists on projects, Perform basic data analysis and visualization tasks.
QualificationsBachelor's/Master's in Engineering 0-2 years
Similar Jobs
Artificial Intelligence • Automotive • Machine Learning • Financial Services
Own end-to-end data science for growth, product, automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; generate actionable insights; and influence product, growth, finance, and operations decisions. The role requires strong SQL or Python skills, independent analytical problem-solving, clear communication, and ownership of ambiguous initiatives.
Top Skills:
ClickhouseGitJupyterhubMetabasePythonSQL
Artificial Intelligence • Automotive • Insurance • Software
Own end-to-end data science for growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; communicate insights and recommendations; and drive measurable outcomes with cross-functional stakeholders. The role requires strong analytical thinking, independent data work using SQL or Python, ownership of ambiguous problems, and persuasive communication with leadership.
Top Skills:
ClickhouseGitJupyterhubMetabasePythonSQL
Real Estate
Develops predictive models, machine learning solutions, data pipelines, statistical analyses, and internal data applications. The role uses Python and SQL Server to analyze structured and unstructured data, applying NLP, classification, regression, clustering, automation, and AI/LLM techniques. Responsibilities include maintaining data science platforms, supporting cross-functional decision-making, and communicating technical findings to non-technical audiences.
Top Skills:
Ai/LlmAWSAzureC#DockerEmacsExcelGitLinuxMachine LearningMS OfficeMicrosoft Sql ServerNatural Language ProcessingNotepad++PowershellPythonSnowflakeVimVisual StudioVs Code
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
