Senior Data Scientist, Marketing & Commercial Analytics

at  Epidemic Sound AB

Stockholm, Stockholms län, Sweden -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate29 Nov, 2024Not Specified01 Sep, 20247 year(s) or aboveProject Management Skills,Sql,Git,English,Returns,Dbt,Data Analysis,Mta,Visualization,Looker,PerspectivesNoNo
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Description:

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.

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

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


REQUIREMENT SUMMARY

Min:7.0Max:12.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

Proficient

1

Stockholm, Sweden