Fall Data Science Intern (Python Programming)

Uptake Chicago , IL 60602

Posted 4 months ago

What We Do

At Uptake, our purpose-built products ingest and analyze sensor and enterprise data, transforming it into actionable insights and immediate outcomes. Together with our customers across a variety of industries, we drive real business value and set new standards for productive, secure, safe and reliable operations. We are based in Chicago, and deeply involved with our community.

Why Work Here

Uptake is a values-driven organization, and we are excited about what we do. We're flexible, honest, hardworking, and collaborative. As a team, we bring our diverse backgrounds, beliefs, and experiences together to solve tough, important problems. We support and challenge one another to bring out the best in each of us, and we might have a little fun along the way. We're also proud to be one of Chicago's best places to work in 2018 according to Forbes and Great Place to Work Institute.

We are lifelong learners, and our Uptake University program offers training and professional development on a wide variety of topics. We also have employee-led community groups including Women@Uptake, Pride@Uptake, Science@Uptake, Parents@Uptake, and many more. Learn more at https://www.uptake.com/careers.

What Data Scientists Do Here

Data science is at the core of what we do at Uptake. We collaborate with engineering, UX, product, and other teams to contribute insights and data science best practices to all parts of the business.

Typical day to day tasks for a data scientist intern (python programming) might include:

  • Collaborate with teams to analyze problems

  • Learn a new testing framework (like testthat) or data science technique - we continually build our skills and explore new things.

  • Build GUI tools that enable others to explore data and conduct statistical analyses

  • Build tools to enable other data scientists to scale their knowledge and increase impact

For more on what we look for in data scientists, visit https://upt.ac/16ee15fc.

What We Are Looking For

  • Passion for data science! We want candidates who love data science and are excited about what they do.

  • Some ways previous successful candidates have demonstrated this are:

  • Actively writes relevant blog posts and/or articles

  • Active participant in relevant online communities

  • Recognized via professional or academic awards (example: Most Valuable Employee, scholastic grants)

  • Expressing detailed knowledge of and genuine interest in Uptake's unique methods, products, data, and technology within a cover letter.

  • Ability to write sophisticated data processing and data analysis code in Python

  • Some ways previous successful candidates have demonstrated this are:

  • Contributing to influential Open Source python projects like pandas, numpy, mlflow, or airflow

  • Describing a sophisticated data processing pipeline they developed that was reused by others within a resume or cover letter

  • Made a high quality data science project available in a public forum like GitHub or Kaggle

  • Experience communicating effectively with people at all levels of an organization. Our data scientists regularly share complex insights with all kinds of people.

  • Some ways previous successful candidates have demonstrated this are:

  • Teaching data science to non-data scientists in an academic or professional setting

  • Elaborating in a cover letter or resume ways that they have professionally collaborated with others in the organization and the impact that collaboration had on the organizations KPIs

  • Bachelor's degree or higher in a quantitative or relevant field

  • Candidates must be authorized to work in the US.

Nice to Have

  • Internship experience in an analytics focused role

  • Experience writing clients for REST APIs

  • Experience developing with graphical tools like Qt, GTK+, or OpenGL

  • Experience writing production code in one or more of: Ruby, Go, Javascript, C++, C

  • Experience working with IoT systems, ranging from DIY home projects to industrial IoT deployments

  • Have made substantial contributions to open source projects in the areas of data science or machine learning

  • Experience developing software projects with large teams using technologies like; git, mercurial, jenkins, travis, jira, asana, etc.

  • Master's degree or PhD in a quantitative or relevant field

Uptake welcomes and encourages applications from all individuals, without regard to any prohibited ground of discrimination, including from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

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Fall Data Science Intern (Python Programming)