Epidemic Sound is seeking a Senior Data Scientist for its Commercial Analytics team in Stockholm. The role involves providing insights to drive growth, managing cross-functional projects, and collaborating with stakeholders in marketing and product development. Key responsibilities include guiding decision-making, uncovering business insights, and sharing best practices in analytics. Candidates should have at least 7 years of experience in data science, expertise in marketing analytics, and proficiency in Python/R and SQL. Preferred skills include familiarity with tools like Git and BigQuery. Epidemic Sound values diversity and encourages applications from all backgrounds.
Data Analytics · HQ (Stockholm) · Hybrid Remote
At Epidemic Sound, we make soundtracking content simple and inspiring with unlimited access to music and sound effects. Headquartered in Stockholm, with offices all over the world, we are a force of over 500 on a mission to soundtrack the world. Our innovative licensing model paves the way for creators - from YouTubers to small businesses to the world’s most recognizable brands such as Netflix, Redbull and BBC - to use sound to enhance their content while simultaneously supporting artists both financially and creatively. Epidemic Sound music is heard 2 billion times a day on YouTube alone and is recognized as one of Europe’s fastest-growing companies by the Financial Times. Epidemic Sound is backed by EQT, Blackstone, Creandum, Atwater Capital to name a few.
We are looking for a Senior Data Scientist for our Commercial Analytics team.
Job Summary:
You'll be part of a team unlocking key insights to drive growth in a cutting-edge music tech company. From product development to exploring new business opportunities, refining and driving strategies in packaging, marketing and growth efforts, you'll be at the forefront of ensuring alignment and effective execution.
The position entails guiding senior stakeholders, as well as effectively managing cross-functional projects involving talented data scientists, data engineers, business leaders, and marketers. Expect to be part of a close-knit team, using advanced, industry-standard tools and expansive datasets, balancing your time between in-depth analysis, data modeling, and engagement in larger, collaborative projects.
To excel in this role, you thrive on understanding the ins-and-outs of the business and taking ownership of fascinating and complex problems, as well as mentoring your teammates.
Responsibilities:
- Provide proactive guidance to senior stakeholders, including Product Managers, Marketing Managers, Senior Vice Presidents, and Chief Commercial Officer, aiding their decision-making
- Utilize your expertise in areas such as marketing and subscriptions to uncover insights and recommendations aimed at enhancing business growth
- Collaborate effectively with cross-functional teams skilled in data science, design, research, engineering, and marketing, driving complex projects that deliver tangible value
- Develop, document and share best practices spanning various aspects of analytics, including code, visualization techniques, and version control, to ensure consistency and efficiency
Requirements:
- Proven ability to deconstruct projects into manageable components and lead them to successful completion, showcasing strong project management skills
- Marketing Analytics Expertise: Deep understanding of multi touch attribution (MTA), marketing mix models (MMM), experimentation design, measurements frameworks and the nuances of diminishing returns and incrementality
- Demonstrated proficiency in data analysis and visualization, with a focus on deriving and delivering actionable insights to inform business strategies
- Excellent communication and stakeholder management abilities to effectively convey findings and recommendations to diverse audiences
- A minimum of 7 years of prior experience as a data scientist working with marketing and knowledge subscriptions
- Proficiency in Python/R for data analysis and SQL for data querying and manipulation
Preferred Qualifications/ Bonus Skills:
- Proficiency in tools such as Git, dbt, Looker and BigQuery
- Sound understanding and hands-on experience with data engineering practices
Equal Opportunity Employer:We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us.
ApplicationDo you want to be a part of our fantastic team? Please apply, in English, by clicking the link below.
Department Data Analytics Locations HQ (Stockholm) Remote status