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 offer generous benefits including health, dental, vision, parental leave, 401K match, and unlimited vacation. 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. Our leads also manage and support teams of data scientists to help them succeed.

Typical day to day tasks for a data scientist lead might include:

  • Collaborate with our industry vertical leads to plan and lead innovative data science projects and initiatives
  • Owns classes of features or entire classes or models. 
  • Oversee data science projects independently, including monitoring progress and proactively identifying challenges
  • Brainstorm and work with others to make internal workflows more efficient. We value continuous improvement!
  • Work with customers to develop advanced analyses that help them solve challenging business problems
  • Share knowledge with other data scientists and develop talent through mentorship.
  • Learn a new programming language or data science technique - we continually build our skills and explore new things.

What We Are Looking For

  • Passion for data science! We want candidates who love data science and developing more junior data scientists as well.
    • Some ways previous successful candidates have demonstrated this are:
      • Demonstrated experience leading and mentoring other data scientists 
      • 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 machine learning and data analysis code in R, Matlab, or Python
    • Contributing to influential Open Source Projects like sklearn, XGBoost, tidyverse, Tensorflow, pytorch, Kafka, Spark, Elasticsearch etc.
    • By describing a data science model they developed that is deployed in a live setting within a resume or cover letter
    • Made a high quality data science project available in a public forum like GitHub or Kaggle
    • Published work in Data Science related journals or conferences such as ICML, NIPS, JML, KDD, and INFORMS
    • Some ways previous successful candidates have demonstrated this are:
  • Experience effectively communicating complex data science insights to people at all levels of an organization. Our data scientists regularly share their work with all kinds of people.
    • Some ways previous successful candidates have demonstrated this are:
      • Professional experience presenting tactical situations to executive level stakeholders including customers in their vertical.  
      • 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
  • Demonstrated effectiveness leading and managing data scientists!
    • Some ways previous successful candidates have demonstrated this are: 
      • 2+ years professional experience providing mentoring, leadership, and support to direct reports
      • Demonstrable track record of growing talent within your organization
      • History of initiating and driving internal policies for your department
      • Strong track record of recruiting and retaining talent
  • Candidates must be authorized to work in the US.

Nice to Have

  • Experience writing code in one or more of: C++, C, Java, Scala, or Spark
  • Experience working in one of the following industry areas:
    • Industrial technology
    • Agriculture
    • Mining
    • Energy
    • Transportation
  • Have made substantive contributions to open source projects in the areas of data science or machine learning
  • Demonstrated thought leadership in data science or machine learning, such as publications, speaking at data science related conferences, coordinating data science industry organizations, or patents.
  • Have made substantive contributions to Kaggle in the form of kernels, competition entries, or tutorials
  • PhD in a quantitative 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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