Machine Learning Data Scientist

Marketing Architects

Marketing Architects, an all-inclusive TV agency based in Minneapolis, seeks a Machine Learning Data Scientist. The role is part of an agile AI team focused on building innovative products. The company helps brands execute effective TV campaigns without traditional high costs, enabling new customer connections in inspiring ways.

In this role you can expect to have the responsibilities:

• Develop and train machine learning models to address complex business issues.
• Analyze extensive datasets for actionable insights and business decision-making.
• Collaborate with various teams to meet requirements and deliver data-driven solutions.
• Deploy and monitor machine learning models in production for performance and precision.
• Continuously enhance models and algorithms using new data and feedback.

This role comes with the following benefits:

• 100% employer-paid medical, dental and disability insurance, with vision options.
• Generous 401(k) matching program.
• Flexible paid time off, 9 paid holidays, and 2 floating holidays.
• Paid parental leave for all parents, inclusive of adoption.
• Annual office supply allowance and monthly internet stipend.
• Employer-paid cell phone.
• Opportunities for virtual and bi-annual in-person connections with team.

This role requires you to have:

• Expertise in machine learning frameworks like TensorFlow and PyTorch.
• Proficient in programming languages such as Python and R.
• Experience with cloud-based modeling and deployment tools like Docker and Azure.
• Strong ability with data manipulation tools such as SQL and Spark.

You would benefit from having:

• Deep understanding of data quality and preprocessing.
• Experience with data collection, cleaning, and transformation.
• Enthusiasm for continuous learning and adapting to new machine learning advancements.

Marketing Architects values diversity and encourages applications from individuals regardless of race, religion, or background. Currently, employment is not supported in California or outside the US. Additional work authorization or sponsorships are unavailable.