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Product Data Scientist

icon building Company : Dreamdata
icon briefcase Job Type : Full Time

Number of Applicants

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Job Description - Product Data Scientist

About Dreamdata

Dreamdata is the industry leader in B2B marketing attribution and revenue optimization. We're on a mission to help B2B marketing leaders finally connect their efforts directly to real revenue - solving a complex problem that plagued the industry for years.

Founded in 2019 by ex-Trustpilot (TRST:LSE) product and engineering leaders, Dreamdata was born from a real-world need, building the platform they always wished they'd had. 

It's working. We have achieved strong product-market fit and are experiencing explosive, triple-digit YoY growth. This momentum is now backed by a recent $55,000,000 Series B funding round set to fuel our rocketship as we scale globally.

We are expanding rapidly and looking for exceptional, top-tier talent to help us build the future of B2B marketing.

The Opportunity

We are expanding our product team in Copenhagen further empower our customers and ensure their success.

As a Product Data Scientist, you will be responsible for building and iterating on our main product, ensuring that data pipelines and transformations are built using best practices and are transparent and easy-to-use for our customers.

You will be part of a broader data group consisting of analytics engineers and data scientists from other teams. Together we maintain the fundamental data models that power the entire Dreamdata product.

You'll thrive in this role if you:

  • Have 3-6 years of experience in a data related role such as analytics engineer, data engineer, data analyst, data scientist or a similar role
  • Have real-world experience in working with data from multiple sources, extracting, visualizing, and explaining insights to stakeholders. Previous experience working with marketing and sales data is considered a plus
  • Are fluent in SQL. We use Google BigQuery, but experience with other cloud data warehouses like Snowflake, AWS Redshift, Azure SQL etc. is equally relevant
  • Have experience with data transformation. We use Google Dataform for the majority of data transformations but experience with dbt or transformation libraries like Pandas, Polar, tidyr, dplyr etc. is also relevant
  • Have some exposure to other coding languages like Python, golang, Typescript etc
  • Know version control software. We use Github, but other version control systems are equally relevant
  • Have played with visualization tools like Looker, Tableau, Power BI, Alteryx etc. Experience using open source Python/R-based visualization libraries is equally relevant
  • Have exposure to running software on public clouds. We are heavy users of Google Cloud Platform, but exposure to the other public clouds are also considered a plus
  • Take ownership from design to deployment, and make pragmatic decisions independently
  • Know how to strike a balance between velocity and over-engineering
  • Are excited about delivering real value to users

If you think the role sounds exciting, but you don't match all points, don't hesitate to reach out as we are continuously hiring also with opportunities for less senior profiles.

  • Location: Our office is located in the heart of Copenhagen with a sea view
  • Ownership: Equity in a growing company.
  • Lunch: Delicious lunch available in our canteen
  • Inclusive Culture: Be part of a supportive and dynamic team making an impact in the B2B marketing space
  • Private insurance: Private health insurance that comes with our pension plan
  • Office dogs 

At Dreamdata, you’ll have the opportunity to make a real impact. Join us in shaping the future of B2B marketing analytics and activation while developing your skills and growing your career.

We are committed to creating an inclusive, diverse workplace where everyone can thrive. If you’re passionate about building meaningful connections and helping businesses succeed, we’d love to hear from you.

Original job Product Data Scientist posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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