Growth Data Scientist for B2B Marketing Analytics in Winnipeg

Growth Data Scientist for B2B Marketing Analytics in Winnipeg

Winnipeg Full-Time 121500 - 148500 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead testing and measurement for online marketing channels and develop cross-channel models.
  • Company: Join Grammarly, a diverse and supportive tech company in Canada.
  • Benefits: Enjoy competitive pay, great benefits, and a flexible work environment.
  • Why this job: Make an impact in B2B marketing analytics with a leading tech company.
  • Qualifications: 8+ years of experience with strong technical and analytical skills.

The predicted salary is between 121500 - 148500 $ per year.

Grammarly is seeking a Data Scientist to join its team in Canada.

This role involves leading testing and measurement efforts for online marketing channels, developing cross-channel measurement models, and collaborating with engineering and marketing teams.

The ideal candidate will have over 8 years of experience and strong technical and analytical skills.

Grammarly offers competitive pay, various benefits, and a supportive work environment that values diversity.

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Growth Data Scientist for B2B Marketing Analytics in Winnipeg employer: Grammarly

Grammarly is an exceptional employer that champions innovation and collaboration in a hybrid work environment, allowing Growth-Focused Machine Learning Engineers to thrive. With a strong emphasis on employee growth, you will have access to unique opportunities for professional development and in-person teamwork at our hubs, fostering a vibrant and supportive culture. Join us to make a meaningful impact on marketing performance while working alongside passionate individuals who share your commitment to excellence.

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Contact Details:

Grammarly Recruitment Team

We think you need these skills to ace Growth Data Scientist for B2B Marketing Analytics in Winnipeg

Data Science
B2B Marketing Analytics
Testing and Measurement
Cross-Channel Measurement Models
Collaboration
Technical Skills
Analytical Skills