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Intern Python Data Science Jobs in Oregon (NOW HIRING)

Python Proficiency: 7-8+ years of hands-on experience in Python, including data science and ML libraries. * Applied ML/AI Experience: Demonstrated ability to build, validate, and deploy production ML ...

OR · On-site

Proficiency in Python, SQL, and common data science and machine learning frameworks. * Experience communicating analytical findings and recommendations to business and technical stakeholders.

Data Scientist

OR · On-site

Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure ...

Data Scientist

OR · On-site +1

Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure ...

Data Scientist 1

OR · On-site +1

$95K - $115K/yr

... data science * Skilled with SQL and Python for advanced analysis required * Experience with Google BigQuery or Google Cloud Platform (GCP), AWS or Azure tools as they relate to big data * Machine ...

$114K/yr

Python/Pyspark, SQL, Pydantic, Langchain etc.). * Experience working in a cloud environment such as ... Experience managing multiple complex and scaled data science projects concurrently. * Experience ...

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations ... Advanced programming skills in Python (with libraries such as scikit-learn, PyMC, mlforecast, etc ...

OR · On-site

$135K - $160K/yr

Work with Data Science and other cross functional teams to define requirements, optimize data ... You will need: * 3+ years of experience, including proficiency in Python and SQL * Strong ...

OR · On-site

... 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 ...

... data science, data analytics, data modeling, experimentation * Advanced-level proficiency in Python and SQL . * Excellent communication and collaboration skills, with demonstrated experience ...

... a Data Science or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning ...

OR

$372K - $600K/yr

... experience with data science languages, ideally including Python and SQL. 3+ years building and operating applications serving internal or external production traffic Ability to translate ...

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Intern Python Data Science information

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

To excel as an Intern Python Data Science, you should have a solid grasp of Python programming, statistics, and foundational data analysis concepts, typically supported by coursework or academic projects in data science or related fields. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, and basic machine learning libraries such as scikit-learn is commonly expected. Curiosity, problem-solving, and the ability to communicate findings clearly are standout soft skills in this role. These competencies enable interns to effectively support data-driven projects, contribute to team goals, and develop practical experience essential for a future data science career.

What types of projects can I expect to work on as an Intern Python Data Science?

As an Intern Python Data Science, you will typically work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using Python libraries like pandas, NumPy, and scikit-learn. You may be tasked with supporting ongoing research, building data visualizations, or automating data collection processes. Collaboration with data scientists and engineers is common, offering opportunities to learn best practices in code review, version control, and teamwork. These experiences provide a solid foundation for more advanced roles in data science.

What does an Intern Python Data Science do?

An Intern Python Data Science assists data science teams with tasks such as data cleaning, analysis, and visualization, primarily using Python programming. They may work on projects involving data collection, processing, and building simple predictive models. Interns are also expected to learn and apply various data science techniques and tools, often under the guidance of experienced data scientists. This role provides hands-on experience and exposure to real-world data challenges, helping interns develop their technical and analytical skills.

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

AspectIntern Python Data ScienceIntern Data Analyst
Required SkillsPython, data analysis, machine learning basicsExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Common TasksData cleaning, modeling, scriptingData reporting, dashboard creation

Intern Python Data Science roles focus on programming, machine learning, and advanced data analysis, often in tech-driven environments. Intern Data Analyst positions emphasize data reporting, visualization, and basic analysis in business settings. While both roles require analytical skills, Intern Python Data Science roles demand coding proficiency, whereas Intern Data Analyst roles focus more on data presentation and interpretation.

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 Intern Python Data Science jobs in Oregon? For Intern Python Data Science jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Intern Python Data Science jobs? Cities in Oregon with the most Intern Python Data Science job openings:
Senior Data Scientist II - AI for Analytics

Senior Data Scientist II - AI for Analytics

Instacart

OR • Remote

Other

Posted 13 days ago


Instacart rating

7.0

Company rating: 7.0 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

32nd of 62 rated delivery companies


Job description

OVERVIEW

Instacart will increase the number of features launched by 2x by the end of 2026 by effectively using AI. A primary driver of knowing which features to launch includes analytical work traditionally performed by data scientists in collaboration with a product team. We are developing systems to accelerate analyses completed by data experts and enable anyone to self-serve most analytics questions.

 

ABOUT THE JOB

You would be responsible for driving AI for Analytics data science work which includes:

  1. Product strategy: Using data to identify the most promising opportunity areas along with contributing data expertise to refine and develop new product ideas.
  2. AI expertise: You will be using and deploying a variety of AI systems in production settings.
  3. Intelligent systems: Improving a product feature by adding intelligent functionality to the product that relies on data science methods including statistical and machine learning methods

The role requires strong XFN collaboration where an ideal candidate can:

  1. Drive critical efforts to completion with little oversight, while occasionally jumping into roles adjacent to data science (i.e. data engineering, machine learning engineer, etc).
  2. Create the product roadmap
  3. Ruthlessly prioritize among requests from multiple competing stakeholders
  4. Act as a senior cross-functional leader of the team, aligning the team on principles, processes and goals
 

ABOUT YOU

Minimum Qualifications

  • 6+ years of work experience in a data science or related field
  • Have deeply engaged with AI workflows
  • Expert in Python (pandas), SQL, git, and Jupyter notebooks
  • Strong statistical and analytical skills
  • Built a machine learning, statistical, or AI model that made its way into production even if the code you wrote was completely rewritten before being deployed
 

Preferred Qualifications

  • 8+ years of work experience in a data science or related field
  • Led a cross-functional team to design a system of metrics that connected the business strategy to a set of core metrics and assigned ownership of those metrics to the team
  • Significant causal experimentation experience 
  • Built a complex machine learning or statistical model and deployed/supported it in production
  • Experience with Python (pandas; scikit-learn, statsmodels, or PyTorch; a visualization library that is not matplotlib; a web framework such as flask), SQL (Snowflake), git, Jupyter notebooks

#LI-remote


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012