Acast is the power source of podcasting, offering everything creators and advertisers need to find and reach millions of engaged listeners around the world. We’re supercharging a thriving, profitable, fair and sustainable open ecosystem for the world’s podcasts — from those of household name media brands to shows from celebrities and influencers, or simply anyone who wants to create. We connect podcasters, listeners and advertisers through the most innovative, world-class products, tools and services, and the world’s biggest podcast marketplace. Co-founded by Johan Billgren in 2014, Acast now hosts 20,000 podcasts — reaching more than 300 million immersed listeners every month and working with thousands of brands. We’re For The Stories.
For brilliant podcasters.
For smart advertisers.
For The Stories.
The company has sales teams on the ground in 10 countries around the world: The UK, US, Canada, Mexico, Australia, Sweden, Norway, France, Germany and Ireland. Our offices are located in Stockholm, London, New York, Los Angeles, Sydney, Paris, Berlin, Dublin and Oslo.
About the role
We have spent the past few years building the foundations of a modern ad serving system, building features to help podcast creators monetize their content. We’re now ready to build differentiated products on top of those foundations, utilizing data to drive product development. As a senior data scientist on this team you will be a key player in driving the development and deployment of models, ensuring we make the right product decisions based on data insights, as well as help define the culture and ways of working in the team.
What You’ll Do
- Work closely with engineers, product managers in a cross-functional team.
- Develop scalable solutions for audio targeted advertising ( e.g. adaudience, contextual ) that use data ethically
- Analyze podcasts content and consumer behaviors and convert them into insights, product recommendations and new features.
Who you are
- Proven experience as a Data Scientist
- Experience using data visualization and reporting tools (e.g. Tableau)
- Strong ability to communicate and discuss complex topics with technical & non-technical audiences
We see it as a plus if you also have experience in feature engineering for machine learning models (NLP is a plus) and if you are proficient in technologies like Python and Jupyter, Pandas or Scipy. Experience in online advertising and knowledge of cloud platforms like AWS is considered a plus.
Acast is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment regardless of race, gender, sexual orientation, religion, ethnicity, national origin or any of the other wonderful characteristics that make us different.
Culture is our number one priority as a business. We believe people come first, and we work every day to enable autonomy, continuous improvement and bring out the best in people. We’re global and have remote teams, so it’s even more important that we strive for an open, inclusive and caring environment where everyone feels visible and welcome. We consider ourselves a modern organization driven by strong values to create the best, most fulfilling and nurturing culture.
We very much look forward to finding the next great person to join our cause!