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Internship Python Data Science Jobs in Colorado (NOW HIRING)

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python ...

Senior Data Scientist

Denver, CO · On-site

$135K - $150K/yr

Strong programming skills in Python and deep expertise in data science libraries such as, Scikit-learn, Pandas, NumPy, XGBoost. * Advanced proficiency in SQL, with hands-on experience querying and ...

Proficient in Python, R, Matlab, Lua, or other data science-centric programming language. * Mathematical knowledge of optimization, multi-variate calculus, probability amp; statistics, linear algebra ...

Strong programming skills in Python and deep expertise in data science libraries such as, Scikit-learn, Pandas, NumPy, XGBoost. * Advanced proficiency in SQL, with hands-on experience querying and ...

Strong programming skills in Python and deep expertise in data science libraries such as, Scikit-learn, Pandas, NumPy, XGBoost. * Advanced proficiency in SQL, with hands-on experience querying and ...

Python and SQL for data science and pipeline development * AWS or similar cloud-based enterprise platforms (Databricks, Dataiku) * Big Data tools such as Spark, BigQuery, or Redshift Salary Ranges ...

Strong applied data science background, including optimization, forecasting, or prescriptive analytics in a business environment Proficient Python development skills with experience supporting or ...

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

... 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 ...

... 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 ...

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Internship Python Data Science information

What are the key skills and qualifications needed to thrive as an Internship Python Data Science, and why are they important?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What is the difference between Internship Python Data Science vs Data Analyst Intern?

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.
What are popular job titles related to Internship Python Data Science jobs in Colorado? For Internship Python Data Science jobs in Colorado, the most frequently searched job titles are:
Data Scientist with Security Clearance

Data Scientist with Security Clearance

DeNOVO Solutions, LLC

Aurora, CO

Other

Posted 4 days ago


Job description

Senior Data Scientist (AI/ML) Location: Aurora, CO
Clearance: Active TS/SCI with CI Poly DeNOVO Solutions is seeking a highly skilled and innovative Senior Data Scientist with a passion for developing cutting-edge machine learning (ML) algorithms. In this role, you will have the exciting opportunity to contribute to the development of a state-of-the-art ML-based data classification system. Our system leverages a powerful combination of supervised and unsupervised ML algorithms to enhance signal geolocation identification. Required Skills / Experience: • BS in a STEM focused discipline with at least 10 years of hands-on experience in Data Science • Experience and familiarity with Data Science, Machine Learning, and modeling workflows • Experience architecting and training ML models; • Experience mapping machine learning solutions to customer problem sets • Expert competency of Python • Familiarity with data analysis packages/libraries (Pandas, SKLearn, R, MATLAB, SAS, MLFLOW etc.) • Experience and desire to work with a diverse team of developers and analyst Desired Skills: • Experience mapping machine learning solutions to customer problem sets • Intermediate competency of Java • Experience using JIRA and Confluence • Experience working on an Agile development team DeNOVO Solutions is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information, or any other protected characteristic under applicable law.