Senior Data Scientist (Anomaly Detection)

| Chicago

What We Do

Uptake helps industrial companies digitally transform with open, purpose-built software that delivers outcomes that matter. Built on a foundation of data science and machine learning, our vision is to create a world that always works — one where the machines and equipment we depend on daily don’t break, and industrial companies are once again the creators of economic growth and opportunity.

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 [email protected], [email protected], [email protected], [email protected], and many more. Learn more at https://www.uptake.com/careers.

What is this Role?
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. For this particular data science role, we are looking for a someone with a STRONG unsupervised and semi-supervised background to act as a technical expert with identifying anomalous periods of behaviour from industrial assets.

Typical day to day tasks for this role will include:

  • Collaborating with teams to identify new needs for anomaly detection tools at Uptake
  • Brainstorming and implementing new algorithmic approaches and quantifying improvements over previous approaches
  • Building, testing, and deploying learning models
  • Building tools to enable other data scientists to scale their knowledge and increase impact
  • Working with customers to develop analyses that help them solve business problems and drive value
  • Acting as a technical mentor for junior data scientists

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.
  • 4+ years of industry experience applying unsupervised and semi-supervised approaches:
    • A demonstrated history of modeling approaches being deployed in production cloud or edge environments
    • Experience quantifying results through Key Performance Indicators (KPIs)
  • Strong understanding of state-of-the-art anomaly detection approaches and challenges:
    • Clustering and regression unsupervised techniques
    • Time series type modeling
    • Complex input signals, such as categorical or missing data types
    • Deep neural networks
  • Ability to write sophisticated machine learning and data analysis code in R or Python
    • Some ways previous successful candidates have demonstrated this are:
      • 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
  • Experience communicating effectively with people at all levels of an organization. Data scientists in this role will have to regularly share complex insights with all kinds of people. Ways to demonstrate 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
  • Graduate level degree in computer science or a related field
  • Candidates must be authorized to work in the US.

Nice to Have

  • Experience writing production quality code
    • Experience with one of the following languages: Java, Scala, C++
    • Knowledge of software best practices, etc.
  • Familiarity working with and developing algorithms in a data distributed environment such as HDFS/Spark
  • Experience working in one of the following industry areas:
    • Industrial technology
    • Agriculture
    • Mining
    • Energy
    • Transportation
  • A history of authored peer reviewed publications and technical blogs on the subject of anomaly detection
  • Experience with streaming machine learning algorithms
  • Experience with Human-in-the-loop Machine Learning applications

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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Location

600 W Chicago Ave Suite 620, Chicago, IL 60654

What are Uptake Perks + Benefits

Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Retirement & Stock Options Benefits
401(K)
401(K) Matching
Company Equity
Perks & Discounts
Beer on Tap
Casual Dress
Commuter Benefits
Stocked Kitchen
Happy Hours

Additional Perks + Benefits

Open PTO policy. Paid parental leave. Speaker series. Lunch stipend.

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