Data Scientist

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.