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Entry Level Data Science Jobs in Golden, CO (NOW HIRING)

Ookla

Data Engineer

Denver, CO

$85K - $125K/yr

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering ... Support and collaborate with data scientists, analysts, and product managers Job Requirements:

Ookla

Data Engineer

Denver, CO

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering ... Support and collaborate with data scientists, analysts, and product managers Job Requirements:

Ookla

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Description The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data ... Support and collaborate with data scientists, analysts, and product managers Job Requirements:

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Description Position at Ookla The Opportunity: We're looking for an entry level Data Engineer to ... Support and collaborate with data scientists, analysts, and product managers Job Requirements:

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Description Position at Ookla The Opportunity: We're looking for an entry level Data Engineer to ... Support and collaborate with data scientists, analysts, and product managers Job Requirements:

Ookla

Data Engineer

Denver, CO

$85K - $125K/yr

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering ... Support and collaborate with data scientists, analysts, and product managers Job Requirements:

True Anomaly

Data Engineer I

Denver, CO · On-site

$85K - $115K/yr

Bachelor's or Master's degree in computer science, Data Science or a related technical field ... This is a hands-on entry-level data engineering role. The successful candidate should be ...

New

Pwc

AI & GenAI Data Scientist - Manager

Denver, CO · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

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Entry Level Data Science information

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How much do entry level data science jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for entry level data science in Golden, CO is $19.67, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $22.12 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

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

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are popular job titles related to Entry Level Data Science jobs in Golden, CO?

For Entry Level Data Science jobs in Golden, CO, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science jobs in Golden, CO look for?

The top searched job categories for Entry Level Data Science jobs in Golden, CO are:

What cities near Golden, CO are hiring for Entry Level Data Science jobs?

Cities near Golden, CO with the most Entry Level Data Science job openings:

Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Golden, CO as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 9% Part Time, and 12% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $40,921 per year, or $19.7 per hour.

Software Engineer I, Data Science (New Grad)

Denver, CO • On-site

True Anomaly
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about True Anomalyexternal

$117K - $141K/yr

Full-time

Posted 3 days ago

New

Job description

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors - enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
  • Be the offset. We create asymmetric advantages with creativity and ingenuity.
  • What would it take? We challenge assumptions to deliver ambitious results.
  • It's the people. Our team is our competitive advantage and we are better together.

YOUR MISSION
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You'll turn spacecraft data into actionable insights across manufacturing and operations: building dashboards that surface production bottlenecks and on-orbit anomalies, analyzing test failures and mission telemetry to identify root causes, training predictive models that flag at-risk components before integration and detect spacecraft health degradation during missions, and mining telemetry to catch anomalies operators would miss. Your work spans the full spacecraft lifecycle. Pre-launch, you'll analyze manufacturing telemetry, test logs, failure reports, and supplier data to catch problems before integration. Post-launch, you'll monitor on-orbit telemetry streams, detect anomalies in spacecraft health data, analyze mission performance, and flag degradation patterns that predict future failures. This is entry-level data science work supporting hardware production and spacecraft operations. You'll write SQL queries, build predictive models in Python, create operational dashboards, and see your analysis drive decisions on the manufacturing floor and in mission control.
This is a 3 month temporary employment engagement. There is potential to convert to regular employment based on performance and business need.
RESPONSIBILITIES
  • Perform exploratory data analysis on manufacturing telemetry, test logs, mission data, and on-orbit spacecraft health telemetry to identify patterns and surface anomalies
  • Build operational dashboards in Grafana or Plotly Dash showing real-time production status, spacecraft health metrics, mission performance, and anomaly alerts
  • Train basic predictive models (logistic regression, random forests) to flag at-risk components during manufacturing and predict spacecraft health degradation during missions
  • Write SQL queries to extract, join, and aggregate data from manufacturing databases, test systems, mission telemetry streams, and spacecraft health archives
  • Analyze test failures and on-orbit anomalies to identify common failure modes, cluster similar issues, and quantify impact on schedule and mission success
  • Create data visualizations (matplotlib, seaborn, Plotly) that communicate findings to engineers, manufacturing leads, mission operators, and program managers
  • Implement statistical process control charts to detect out-of-spec conditions in manufacturing processes and spacecraft telemetry before they cascade
  • Monitor on-orbit telemetry streams for anomalies: battery voltage trends, thermal behavior, attitude control health, communications link quality
  • Document analysis methodology in Jupyter notebooks enabling reproducibility and knowledge transfer across manufacturing and operations teams
  • Learn reliability engineering and mission operations concepts: failure modes, burn-in testing, on-orbit commissioning, spacecraft health monitoring, and anomaly response procedures

QUALIFICATIONS
  • Bachelor's or Master's degree in data science, statistics, industrial engineering, applied mathematics, operations research, or related quantitative field
  • Proficiency in Python for data analysis: pandas, numpy, matplotlib, seaborn
  • Working knowledge of SQL for querying relational databases: SELECT, JOIN, GROUP BY, aggregation functions
  • Coursework in statistics: hypothesis testing, regression, probability distributions, experimental design
  • Ability to create clear visualizations that communicate insights to technical and non-technical audiences
  • Strong curiosity about how things fail and how data can predict failures before they happen
  • Debugging mindset: when the model gives wrong answers or the query returns unexpected results, you dig in to find out why
  • Eagerness to learn manufacturing, operations, and reliability engineering domains where data drives real decisions
  • U.S. Citizen (required for facility access and government contracts)

PREFERRED SKILLS AND EXPERIENCE
  • Experience with machine learning in Python: scikit-learn for classification/regression, model validation, train/test splits, cross-validation
  • Familiarity with time-series analysis: plotting sensor trends, detecting change points, smoothing noisy signals
  • Exposure to data visualization tools: Grafana, Tableau, Plotly Dash, or similar dashboard frameworks
  • Understanding of basic reliability concepts: failure rates, survival curves, mean time between failures (MTBF)
  • Prior internship or project analyzing real-world operational data: manufacturing, logistics, quality control, IoT sensor data
  • Experience with version control (git) and collaborative data analysis workflows
  • Coursework or projects in industrial engineering, operations research, or quality management
  • Familiarity with data cleaning and wrangling: handling missing values, outlier detection, data quality assessment
  • Understanding of experimental design: A/B testing, randomized controlled trials, confounding variables
  • Exposure to anomaly detection techniques: z-scores, control charts, boxplot analysis
  • Prior work with manufacturing or hardware production data (even from coursework or academic projects)
  • Familiarity with Jupyter notebooks, literate programming, and reproducible analysis practices

COMPENSATION
  • Base Salary: Denver: $75,000; Long Beach: $80,000

ADDITIONAL REQUIREMENTS
  • Work Location-Successful candidates will be located near Denver or Colorado Springs. While we observe a hybrid work environment, some work must be done on site.
  • Work environment-the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
  • Physical demands-the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.

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