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Trainee Computer Data Scientist Jobs in Colorado

BillGO, Inc.

AI Data Scientist

Fort Collins, CO · On-site

Required Qualifications • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. • 3+ years of experience in a data science or AI-focused role within ...

BillGO, Inc.

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

Required Qualifications • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. • 3+ years of experience in a data science or AI-focused role within ...

CACI International, Inc.

Data Scientist - Mid

Denver, CO · On-site

$69K - $141K/yr

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (equivalent experience accepted). * 4+ years of data science or analytics experience. * Proficiency in ...

Fanatics Betting & Gaming

Data Scientist I

Denver, CO · On-site

We are seeking a Data Scientist I to join our growing Data Science organization on our newly formed ... Degree in a quantitative field, e.g., Mathematics, Physics, Statistics, Engineering, or Computer ...

Eliassen Group

Data Scientist

Almont, CO · On-site

$60 - $75/hr

Our client seeks a Data Scientist to creatively use data to solve business challenges and uncover ... Advanced degree in a quantitative field such as computer science, engineering, physics, statistics ...

Booz Allen Hamilton

Computer Scientist, Mid

Aurora, CO · On-site

$69 - $158/hr

Your analytics, data science, AI, and machine learning knowledge and consult ing expertise, coupled ... Computer Scientist, Mid The Opportunity: As an analytics professional, you're excited at the ...

Booz Allen Hamilton

Mid Computer Scientist

Aurora, CO · On-site

$69K - $158K/yr

R0246464 Computer Scientist, Mid The Opportunity: As an analytics professional, you're excited at ... Your analytics, data science, AI, and machine learning knowledge and consult ing expertise, coupled ...

Booz Allen Hamilton

Computer Scientist, Mid

Aurora, CO · On-site

$69K - $158K/yr

Computer Scientist, Mid The Opportunity: As an analytics professional, you're excited at the ... Your analytics, data science, AI, and machine learning knowledge and consulting expertise, coupled ...

Booz Allen Hamilton, Inc.

Computer Scientist, Mid

Aurora, CO · On-site +1

$69K - $158K/yr

Share Computer Scientist, Mid The Opportunity: As an analytics professional, you're excited at the ... Your analytics, data science, AI, and machine learning knowledge and consulting expertise, coupled ...

CACI International, Inc.

Senior Data Scientist

Denver, CO · On-site

$82K - $172K/yr

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (equivalent experience accepted). * 8+ years of data science, analytics, or related engineering ...

US Bank

Data Scientist

Denver, CO · On-site

$111K - $131K/yr

Basic Qualifications - Bachelor's degree in a quantitative field such as statistics, computer ... science, engineering or applied mathematics, or equivalent work experience - Six to eight years of ...

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Trainee Computer Data Scientist information

What is the difference between Trainee Computer Data Scientist vs Data Analyst?

AspectTrainee Computer Data ScientistData Analyst
Required CredentialsBasic programming, statistics, entry-level data science coursesData analysis, Excel, SQL, basic statistics
Work EnvironmentLearning-focused, entry-level projects, collaborative teamsData reporting, visualization, business insights
Industry UsageGrowing in tech, finance, healthcare sectorsWidespread across industries for business decision support

The Trainee Computer Data Scientist is an entry-level role focused on developing skills in data science, programming, and machine learning, often in a learning environment. In contrast, a Data Analyst primarily handles data reporting, visualization, and basic analysis to support business decisions. While both roles require some knowledge of statistics and data tools, the Data Scientist role emphasizes advanced data modeling and programming, whereas the Data Analyst role centers on interpreting data for insights.

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

To start a career as a trainee computer data scientist 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 relevant certifications, and working on personal or open-source projects can demonstrate your abilities to employers. Gaining practical experience through internships or entry-level roles can also help transition into a data science career.

What are the most commonly searched types of Computer Data Scientist jobs in Colorado?

The most popular types of Computer Data Scientist jobs in Colorado are:

Trainee Computer Data Scientist jobs near you

AI Data Scientist

BillGO, Inc.

Fort Collins, CO • On-site

Full-time

Re-posted 9 days ago

Job description

About the Role

We’re looking for a Data Scientist with deep AI and machine learning expertise to help shape the future of data-driven innovation in fintech. You’ll work on developing intelligent systems that power risk modeling, fraud prevention, customer insights and targeting, and payment optimization. Your models will have a direct impact on financial decisions, operational efficiency, and customer trust across our products.

Key Responsibilities
  • AI-Driven Insights: Develop and deploy advanced machine learning models to optimize customer targeting, payment monitoring and growth and operational efficiency opportunities.
  • Predictive Modeling: Build forecasting models to improve transaction accuracy, detect anomalies, and assess financial risk.
  • Data Engineering & Feature Design: Clean, transform, and model large, high-velocity financial datasets with attention to data integrity and compliance.
  • AI Product Integration: Collaborate with Product to integrate AI solutions into production systems for real-time financial decisioning.
  • Experimentation: Lead A/B tests and model performance evaluations to validate model effectiveness and regulatory compliance.
  • Communication: Translate technical findings into actionable insights for business leaders and compliance teams.
  • Research & Innovation: Stay on top of advancements in generative AI, LLMs, and financial AI applications to guide innovation strategy.

Required Qualifications
•    Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field.
•    3+ years of experience in a data science or AI-focused role within fintech, banking, or payments.
•    Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines.
•    Strong background in supervised/unsupervised learning, anomaly detection, NLP, and generative AI.
•    Familiarity with financial data structures, regulatory standards (e.g., PCI-DSS, GDPR), and model governance.
•    Experience with cloud platforms such as Snowflake for ML deployment.
Preferred Qualifications
•    Experience in fraud analytics, risk scoring, or payment decision models.
•    Understanding of MLOps and continuous model monitoring in regulated environments.
•    Familiarity with financial transaction data, open banking APIs, or real-time payments systems.
•    Experience developing LLM-powered assistants or AI copilots for financial operations or support.
•    Strong data storytelling and visualization skills (Tableau preferred).

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