Senior Data Scientist

4 days ago


Chicago, Illinois, United States Strike Social Full time
Job Opportunity

We are seeking a highly skilled Senior Data Scientist to join our team at Strike Social. As a key member of our data science team, you will be responsible for developing and implementing machine learning models to drive business growth and improve customer experiences.

About the Role

As a Senior Data Scientist, you will work closely with our product development teams to design and implement learning systems that recommend, optimize, and predict marketing campaign performance for top brands across multiple advertising platforms. You will also develop algorithms and models that inform customer activities and participate in the architecture and development of a closed-loop learning system reading and feeding our private data warehouse.

Responsibilities

  • Partner with product development teams to research, design, and implement learning systems that drive business growth and improve customer experiences
  • Develop and implement machine learning models to predict marketing campaign performance and inform customer activities
  • Participate in the architecture and development of a closed-loop learning system reading and feeding our private data warehouse
  • Report progress, issues, and status at daily and weekly stand-ups
  • Stay up-to-date with emerging technologies and new design approaches

Requirements

  • Bachelor's degree or higher in a quantitative field such as Computing Science, Statistics, Mathematics, Physics, or Engineering
  • 3+ years of strong mathematical and statistical data analysis experience
  • 3+ years of experimental data/modeling experience
  • 3+ years of machine learning experience, including black box and bespoke solutions
  • 2+ years of language processing experience
  • 2+ years of Python development experience
  • Agile software development methodology experience and test-driven development experience

What We Offer

At Strike Social, we offer a close-knit, work-hard/play-hard environment with flexible working hours and remote work options. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.



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