Associate Data Scientist, Spotify
User Fraud
CA$61.5-87.8k
+ Equity
Commercial music streaming service
Be an early applicant
Commercial music streaming service
1001+ employees
Be an early applicant
CA$61.5-87.8k
+ Equity
1001+ employees
Company mission
To unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it
Role
Who you are
- A Bachelor's degree in Data Science, CS, or another quantitative field
- 1+ years work experience with an emphasis on investigative data analysis, anomaly detection, and data pipelines
- Deep understanding of data with expertise in data manipulation and design (SQL) and experience in Python
- Strong analytical skills, with the ability to turn data into actionable insights and recommendations
- Strong problem-solving skills, intellectual curiosity, and a proactive approach to identifying new opportunities for fraud detection
- A continuous learner, excited by new technologies and able to pick up new tools and frameworks quickly
What the job involves
- We’re looking for a Data Scientist to join the band
- You’ll help us expand detection and mitigation methods against abuse across all audio verticals on our platform
- The team’s goal is to ensure a fraud-free experience for users and creators by employing advanced technology and evolving strategies to maintain fair engagement and accuracy
- As part of the team, you’ll contribute to our data-driven approach, protecting the platform's integrity from issues like account abuse and artificial manipulation
- Your work will directly impact how billions of fans connect with millions of artists and creators, and how the world experiences content
- You’ll work with a team of data scientists and machine learning engineers to detect and prevent abuse on our platform
- You’ll help us investigate anomalous trends, discover new ways to leverage data for improved detection methods, and identify unwanted behavior on the platform
- We are a fast-paced team passionate about high-impact projects, and we prioritize continuous learning and skill development
- You will have the freedom to refine your skills and working methods
- Investigate evolving fraud trends and consumption habits to enhance detection capabilities
- Apply your expertise in quantitative analysis, data mining, and data presentation to help automate, optimize and understand key business problems and solutions
- Build data and tooling to empower operational and exploratory data analysis while optimizing for speed, accuracy, and quality
- Work closely with cross-functional teams of data and backend engineers, and product managers
- Partner with a broad range of stakeholders across music, podcasts and audiobooks to consistently uphold platform integrity
Our take
Spotify was founded in an attempt to combat the rampant music piracy that was causing significant harm to the industry. The company has since taken music streaming mainstream and now has 180m+ paying subscribers across the world.
With features that include a highly accessible interface and a vast catalogue of artists, Spotify's strong brand has been able to maintain growth in spite of fierce competition from deep-pocketed rivals like Amazon and Apple. The company has achieved this by making smart acquisitions to move into other verticals to strengthen its offerings, especially podcasting, by acquiring Gimlet Media, Anchor and Parcast.
Spotify's future plans include rapid growth with a goal to become a one-stop destination for all digital sound, as well as AI and NFT integrations. However, high costs incurred from the acquisition of exclusive podcasts, increasing competitor strength, and weak bottom-line growth mean that the company must find a balance to maintain its position in the sector.
Freddie
Company Specialist at Welcome to the Jungle
Insights
23% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jan 2016
$1bn
CONVERTIBLE
Jun 2015
$526m
SERIES G
Total funding: $2.1bn
Company benefits
- Extensive learning opportunities, through our dedicated team, GreenHouse
- Flexible share incentives letting you choose how you share in our success
- Global parental leave, six months off - fully paid - for all new parents
- All The Feels, our employee assistance program and self-care hub
- Flexible public holidays, swap days off according to your values and beliefs
Company HQ
Norrmalm, Stockholm, Stockholms län
Leadership
Daniel Ek
(CEO & Chairman)Founded Spotify in 2006. Previously worked as an executive at Tradera, an auction company that was sold to eBay and was briefly the CEO of uTorrent.
Salary benchmarks
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