At a Glance
- Tasks: Develop and implement cutting-edge ML/AI solutions to enhance the Beatport customer experience.
- Company: Join The Beatport Group, a leader in music technology with a creative and fun environment.
- Benefits: Enjoy competitive pay, bonus opportunities, enhanced holidays, and VIP access to music events.
- Other info: Hybrid or remote work options available; must have the right to work in the UK.
- Why this job: Make a real impact in the music industry while working with the latest ML/AI technologies.
- Qualifications: 4-5 years of ML/AI engineering experience, with expertise in GCP and Python.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking an experienced and adaptable machine learning (ML) and artificial intelligence (AI) engineering professional 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/AI models.
- Initial Workstreams
- Recommendations and personalization
- Search optimization
- Audio modeling
As a Senior ML & AI Engineer, you will be responsible for
- Developing and implementing ML and AI based solutions to enhance and optimize the Beatport customer experience, including semantic search, content recommendation/personalization engines, and 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.
- Owning the development cycle of our ML and AI pipelines, ensuring low latency, cost effectiveness, robust CI/CD, and continuous iterative testing.
- Collaborating with Platform Engineering and Product to prioritize relevant workstreams across the Beatport Group.
- Working with data scientists, data engineers, and data analysts to refine and develop scalable data architectures to deliver unified and actionable ML/AI intelligence across the data stack.
Requirements
- 4–5 years of direct experience as an ML/AI focused engineer, with 1+ year in a senior capacity preferred.
- Master’s or Ph D degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Expert proficiency in GCP’s ML/AI tooling, its data ecosystem, and Python with core ML/AI libraries (Py Torch, XGBoost, Tensor Flow).
- Expert proficiency with SQL development, with Google dialects being advantageous.
- Proficiency with an API web framework (Fast API, Django, Flask).
- Robust CI/CD discipline for ML, including Git Hub Actions or Git Lab CI, and infrastructure as code solutions such as Terraform.
- Desired Experience
- Experience in a data science or adjacent environment.
- Familiarity with experimentation and A/B testing frameworks.
- Experience with vector databases or similar technologies for semantic search and retrieval pipelines.
- Experience with dbt.
- Domain knowledge in digital signal processing and/or audio fingerprinting within the music industry.
- General music industry experience or interest in DJ culture.
- Location
Hybrid (London) or remote (UK) – must have right to work in the UK.
Benefits
- Participation in company’s annual bonus pool program
- 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
- + More
- Equal Employment Opportunity
The Beatport Group strongly supports equal employment opportunity for all applicants regardless of race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, sexual orientation, genetic information, or any other characteristic protected by state or federal law.
#J-18808-Ljbffr
Senior Data Scientist employer: Beatport
Beatport is an exceptional employer that fosters a vibrant work culture centred around music and creativity. With opportunities for professional growth and development, employees enjoy benefits such as participation in an annual bonus program, comprehensive health insurance, and exclusive access to music events, making it a rewarding place to thrive in the music industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Beatport!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist at Beatport.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Beatport.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at Beatport, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Beatport, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Beatport. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Beatport
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Beatport!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
