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Associate Data Scientist Jobs in Colorado (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As an AI & GenAI Data Scientist-Senior Associate, you will be at the ...

The position involves collaborating with cross-functional teams to align data solutions with business objectives, mentoring associates, and ensuring the continuous improvement of data science ...

New

Data Analyst Senior

Denver, CO · On-site +1

$107K - $155K/yr

In contrast to an Associate, the Senior will develop more autonomy to develop solutions and may ... Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. Our ...

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Scientist I

Louisville, CO · On-site

$84K - $115K/yr

Mentor and train junior scientists and associates. * Perform peer review of data and reports related to method development, qualification, and validation, as well as characterization and stability ...

Showing results 21-40

Associate Data Scientist information

See Colorado salary details

$60.5K

$71.5K

$135.6K

How much do associate data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for associate data scientist in Colorado is $71,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $62,600.00 per year, depending on experience, location, and employer.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the key skills and qualifications needed to thrive as an associate data scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What can I do with an associate data scientist?

An associate data scientist analyzes data to identify patterns, build models, and support decision-making using tools like Python, R, or SQL. This role often involves collaborating with teams, developing predictive models, and gaining experience to advance to more senior data science positions.
What are the most commonly searched types of Data Scientist jobs in Colorado? The most popular types of Data Scientist jobs in Colorado are:
What cities in Colorado are hiring for Associate Data Scientist jobs? Cities in Colorado with the most Associate Data Scientist job openings:
What are popular job titles related to Associate Data Scientist jobs in CO? For Associate Data Scientist jobs in CO, the most frequently searched job titles are:
Infographic showing various Associate Data Scientist job openings in Colorado as of August 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 92% In-person, 2% Hybrid, and 6% Remote job distribution, with an average salary of $71,544 per year, or $34.4 per hour.

Associate Data Analyst

Brown and Caldwell

Lakewood, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Brown and Caldwell rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

16th of 446 rated engineering


Job description

The Associate Data Analyst position performs data analytics for informed decision making, dashboards, report generation and overall project support. This role supports and contributes to organizational success by supporting the delivery of high-quality data solutions. Work is performed under general supervision with guidance provided for complex issues.

Responsibilities 

  • Proactively gather data from diverse internal systems (e.g., CRM platforms, ERP systems, operational databases) and external sources (e.g., public datasets, APIs, third-party vendors, customer surveys). 
  • Apply robust data cleaning techniques such as handling missing values, correcting data types, removing duplicates, and standardizing formats to ensure high data quality. 
  • Validate data accuracy by cross-referencing with source systems, applying logic checks, and collaborating with domain experts to confirm assumptions. 
  • Organize raw data into structured formats—such as data tables, CSV files, or relational databases—making it accessible and ready for analysis by analysts, data scientists, and business stakeholders. 
  • Conduct exploratory data analysis using statistical techniques (e.g., regression, clustering, hypothesis testing) to uncover hidden patterns, anomalies, and relationships within datasets. 
  • Visualize trends over time, segment customer behavior, and identify key performance drivers using tools like matplotlib, seaborn, or built-in Excel charts. 
  • Translate analytical findings into actionable insights that support strategic initiatives such as market expansion, product optimization, or customer retention. 
  • Respond to data-related inquiries from business units by investigating root causes, validating assumptions, and delivering clear, data-backed answers. 
  • Design and build dynamic dashboards that track KPIs, operational metrics, and business performance using visualization tools like Tableau, Power BI, or Excel. 
  • Write efficient SQL queries to extract, join, filter, and aggregate data from relational databases such as MySQL, PostgreSQL, or Microsoft SQL Server. 
  • Leverage programming languages like Python or R to automate data workflows, perform advanced statistical analysis, and build custom data pipelines. 
  • Collaborate with cross-functional teams—including marketing, product, finance, and operations—to understand their goals and translate them into data requirements. 
  • Maintain detailed documentation of data sources, definitions, transformation logic, and business rules to ensure transparency and consistency across reports. 
  • Monitor data integrity by setting up validation checks, reconciling discrepancies, and working with IT or engineering teams to resolve issues. 
  • Help standardize procedures for data handling, reporting, and analysis by creating templates, SOPs, and training materials for team members. 
  • Flexibility to adapt and execute various additional assignments based on evolving needs. 

Mentorship 

  • May provide mentorship, guidance, support, and knowledge-sharing to help less experienced team members develop their skills and grow within their roles. 

Skills and Competencies 

  • Proficiency in SQL for data extraction, transformation, and analysis 
  • Advanced Excel and Google Sheets skills, including pivot tables and complex formulas 
  • Experience with data visualization tools such as Tableau, Power BI, or Excel dashboards 
  • Strong analytical skills with knowledge of statistical methods (e.g., regression, clustering) 
  • Ability to perform exploratory data analysis and identify actionable insights 
  • Familiarity with Python or R for data manipulation and visualization (preferred) 
  • Skilled in cleaning, validating, and transforming large datasets 
  • Excellent communication skills for presenting data to non-technical stakeholders 
  • Collaborative mindset with experience working across departments 
  • Detail-oriented with a focus on data accuracy and consistency 
  • Knowledge of data governance, metadata management, and quality assurance practices 
  • Understanding of data privacy and compliance standards (e.g., GDPR, CCPA) 
  • Ability to identify process inefficiencies and recommend improvements 
  • Experience supporting senior analysts with modeling, forecasting, and reporting 

Experience 

  • Typically, a minimum of 2 years’ related work experience in Data Analytics or a related field is required. 

Education 

  • A bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science, or related discipline)is required. 

Salary Range: The anticipated starting pay range for this position is based on the employee’s primary work location and may be more or less depending upon skills, experience, and education.  These ranges may be modified in the future.   

Location A:$71,000 - $96,000Location B:$78,000 - $106,000Location C:$85,000 - $115,000 

You can view which BC location applies to you here. If you have any questions, please speak with your Recruiter.  

Benefits and Other Compensation:  We provide a comprehensive benefits package that promotes employee health, performance, and success which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time off and parental leave, paid holidays, 401(k) retirement savings plan with employer match, performance-based bonus eligibility, employee referral bonuses, tuition reimbursement, pet insurance and long-term care insurance. Click here to see our full list of benefits.  

About Brown and Caldwell   

Headquartered in Walnut Creek, California, Brown and Caldwell is a full-service environmental engineering and construction services firm with 50 offices and over 2,100 professionals across North America and the Pacific. For more than 75 years, we have created leading-edge environmental solutions for municipalities, private industry, and government agencies. We strive to be the company of choice—to our clients, who benefit from our passion for delivering exceptional quality, and to our employees, present and future, who share our commitment to client service, collaboration, and innovation. Join us, and you will find a home where you can do your best work, reach new levels of expertise, and enjoy exceptional development opportunities. For more information, visit www.brownandcaldwell.com  

This position is subject to a pre-employment background check and a pre-employment drug test.   

Notice to Third Party Agencies: Brown and Caldwell does not accept unsolicited resumes from recruiters or employment agencies. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement and approved engagement request with Brown and Caldwell, Brown and Caldwell reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.    

Brown and Caldwell is proud to be an EEO/AAP Employer. Brown and Caldwell encourages protected veterans, individuals with disabilities, and applicants from all backgrounds to apply. Brown and Caldwell ensures nondiscrimination in all programs and activities in accordance with Title VI of the Civil Rights Act.


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