Senior Data Scientist
Role details
Job location
Tech stack
Job description
We are seeking an experienced and adaptable Senior Data Scientist, with strong ML Engineering skills, to join a nimble and best-in-class data team at The Beatport Group. The role will report to the Director of Intelligence Engineering, and will share in the ownership and delivery of cutting edge, scalable ML models.
Initial workstreams will likely include:
- Content Recommendation and Personalisation
- Search Optimisation
- Audio Modelling
You will play a crucial role in transforming our data into genuinely useful product features that empower artists and connect DJs with the music that they love., The ideal candidate will have 4-5 years of direct experience as a Data Scientist, with some experience in ML Engineering being advantageous. The candidate will demonstrate expert proficiency in Google Cloud Platform's (GCP) latest ML/AI tooling, including, but not limited to:
- Vertex AI
- BigQuery
- Gemini APIs
The candidate will also work closely with our Lead Data Scientist in developing and maintaining the team's API service which delivers real-time ML output to Platform Engineering. FastAPI experience would be advantageous in this regard.
This role can be hybrid (London) or remote (but must have UK right to work and be based in the UK). The Technology Group is spread across Europe and North America. This is an exciting opportunity to shape the future of our ML/AI roadmap for a group at the forefront of electronic music and DJ culture.
As a Senior Data Scientist, you will be responsible for:
- Developing and implementing ML-based solutions to enhance and optimise the Beatport customer experience. This may include semantic search to improve crate digging, content recommendation/personalisation engines, or leveraging our catalog for the development of best-in-class audio models for music professionals.
- Acting as a subject matter expert regarding GCP's latest ML/AI tooling, and continuously prototyping and advocating for new tooling to ensure that our MLOps and AI infrastructure remains fit for purpose.
- Collaborating with Platform Engineering and Product to prioritise relevant workstreams across the Beatport Group.
- Working in conjunction with the Group's Data Engineers and Data Analysts to refine and develop scalable data architectures to deliver unified and actionable ML-based intelligence across the Beatport Group data stack.
Requirements
- 4-5 years of direct experience as a Data Scientist, with 1+ year in a senior capacity preferred.
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Expert proficiency in GCP's ML/AI tooling, and its data ecosystem in general.
- Expert proficiency with Python and its core ML libraries e.g. PyTorch, TensorFlow.
- Expert proficiency with SQL development, with Google dialects being advantageous.
- Robust CI/CD discipline for ML, for example, GitHub Actions or GitLab CI, and infrastructure as code solutions for automating model rollout such as Terraform.
It would be beneficial to have:
- Proficiency with an API web framework e.g. FastAPI, Django, Flask.
- Familiarity with experimentation and AB testing frameworks and packages.
- Experience with vector databases or other methodologies that can support larger scale semantic search and retrieval pipelines.
- Domain knowledge in digital signal processing and/or audio fingerprinting in the context of the music industry.
- General music industry experience and/or an interest in DJ culture.
Benefits & conditions
The position is within a highly motivated team with a positive working climate, allowing you to express your talent fully. In addition, we offer appropriate remuneration and very good development opportunities within a dynamically growing enterprise. Beyond this, the position provides an intensive integration into the international music scene.
- Participation in company's annual bonus pool program
- A professional environment with room for creativity and fun
- VIP Access to local music events & Livestreams
- Enhanced holiday allowance
- Focus Days
- BUPA Health Insurance
- Learning Days
- Employer matched pension
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- More
Equal Employment Opportunity