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Data Scientist

Job Title
Data Scientist
Job ID
Portland,  OR 97027
Other Location

Our History:
From our start in 2009, Conexess has established itself in 3 markets, employing nearly 200+ individuals nation-wide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies, to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track record

Who We Are:
Conexess is a full-service staffing firm offering contract, contract-to hire, and direct placements. We have a wide range of recruiting capabilities extending from help desk technicians to CIOs. We are also capable of offering project based work.

Conexess Group is aiding a Portland, OR based client in their search for a Data Scientist. Our client is looking for candidates local to the Portland area.

******We are unable to work C2C on this role******

In this role you would be working in an Agile team with other Data Scientists and Engineers to help design approaches to many data science problems and then implement the designs in software and test their efficacy. Additionally, candidate had strong desire to learn more about Machine Learning, and work on building products that seamlessly integrates AI into the customer's journey.

  • Design, develop, and support Machine Learning pipelines, components, code, algorithms, and processes 
  • Supports other product delivery partners in successful build, test, and release of solutions 
  • Works with distributed requirements and technical stakeholders to complete shared design and development 
  • Supports the full software lifecycle of design, development, testing, and support for technical delivery 
  • Occasional ownership of small projects, and managing some ongoing project communication (status reporting, requirements alignment, etc.)
  • Has delivered solutions through to production using Python / R / Scala
  • Experience in Big Data technologies like Hadoop, Spark, and Kafka is a plus 
  • Experience with Docker and/or containerized deployments is beneficial 
  • Experience with ML aligned artifacts like Pandas, Numpy, etc. is beneficial
  • Experience with AWS is beneficial
  • Has worked with and is comfortable querying / joining complex data sets


  • Excellent Communication skills
  • Strong Data Wrangling acumen (Pandas, SQL, Spark)
  • Application Development/Programming
  • Python (Required)
  • Experience with AI/ML technologies (PyTorch / TensorFlow, Jupyter)
  • Experience in the Full Software Development Life Cycle


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