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Internship Python Data Science Jobs in Oregon (NOW HIRING)

Instacart

Senior Data Scientist (I & II)

OR · On-site +1

Overview This is a general posting for multiple Senior Data Science roles open across our 4-sided ... Ability to write efficient and eloquent code in Python or R. * A desire to build and improve ...

Deloitte

Lead AI and Data Science Engineer II

Portland, OR · On-site

$108K - $143K/yr

Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

LMI

Data Scientist (Vantage) - Clearance Required

Experience working with data analysis tools including object-oriented programming (Python, Java, SQL, TypeScript), computational analysis tools (R, MATLAB), and associated data science libraries ...

Sonatype

Data Scientist

OR · On-site +1

Computer Science or equivalent technical degree strongly preferred * Strong Python skills and practical experience with data and AI libraries/platforms such as Databricks, and LLM APIs, scikit-learn

Corvel

Data Scientist II

Translate business and operational needs into scalable data science solutions and modeling ... Proficiency in programming languages such as Python and database management including SQL * Strong ...

Lumen Technologies

Senior Data Scientist

OR · Remote

$84K - $112K/yr

What We Look For in a Candidate 3-5 years of experience in data science, data engineering, analytics, or a related role Strong Python and SQL skills Experience with Databricks, PySpark, or Spark ...

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Internship Python Data Science information

What is an internship Python data science?

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 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 are the key skills and qualifications needed to thrive as an internship Python data science?

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 are the most commonly searched types of Python Data Science jobs in Oregon?

The most popular types of Python Data Science jobs in Oregon are:

What are popular job titles related to Internship Python Data Science jobs in Oregon?

For Internship Python Data Science jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Internship Python Data Science jobs in Oregon look for?

The top searched job categories for Internship Python Data Science jobs in Oregon are:

Internship Python Data Science jobs near you

Staff Data Scientist - Experimentation & Measurement

PlayStation Global

OR • On-site, Remote

Full-time

Posted 25 days ago

Job description

Staff Data Scientist -  Experimentation & Measurement 

Overview:

As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You'll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products.

What You'll Be Doing:

  • Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn't feasible.
  • Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company's senior leadership.
  • Mentor and guide other Data Scientists, providing thought leadership and technical direction.
  • Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
  • Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
  • Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
  • Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity.
  • Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team's work.
  • Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem.

asic Requirements:

  • Bachelor's degree or equivalent.
  • 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD).
  • Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
  • Proficiency in SQL and Python for data extraction, transformation, and analysis.
  • Broad and applied knowledge of statistical techniques.
  • Experience with machine learning modeling is a plus.
  • Proven ability to influence product and business decisions through clear, actionable insights.
  • Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
    Preferred Requirements:
    • Master's or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
    • Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

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