Data Scientist

Full time

Employment Information

Position summary

Barton Malow is seeking an experienced Data Scientist with a strong data science background to join the Data and Automation team. This position collaborates closely with a cross-functional team, including IT, Application Developers, and Data Engineers to develop and deliver AI-powered products. The position’s primary responsibilities will include partnering between data engineering and business stakeholders to develop custom data models and algorithms to drive business solutions.

Key job responsibilities:

  • Apply your passion for problem-solving through exploring data.
  • Partner and educate business partners and leaders on the field of data science.
  • Develop machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
  • Use portfolio of data applications including storytelling with data using Power BI.
  • Collaborate with the team working with Databricks and continue to learn more as necessary.
  • Engage in solving architectural challenges related to data lakes, lake houses, warehouses, change data capture, messaging, event streaming and real-time data pipelines.
  • Leverage your familiarity with databases and their querying languages to effectively manage and manipulate data within a variety of data storage systems.

Required knowledge, education, experience, skills, and abilities

  • 5+ years of relevant business experience working with data engineering and data science teams.
  • Bachelor’s degree in Statistics, Economics, Data Science, or Data Science. Preferred Master’s coursework in an academic field related to Data Science.
  • Demonstrated ability to apply a scientist’s/engineer’s approach to solving problems.
  • Familiarity with DevOps/DataOps practices.
  • Prior experience with statistical programming languages and developing data models in Python/R/SQL.
  • Proficient in Power BI for data visualization and communication of data stories.
  • Proficient in deployment of models through platforms such as AWS SageMaker, Azure ML, Datarobot.
  • Proficient in popular business collaboration tools such as Microsoft Office, Google Apps, Apple Pages, Slack, Teams, etc.

Work environment/job conditions:

  • This position may require up to 30% travel.
  • This may increase/decrease depending on the team member’s location and the needs of the team.

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