Data Scientist
About the Role
We are seeking a Senior Data Scientist to join our Business Intelligence team spearhead our revenue prediction and forecasting initiatives. As the primary architect of our predictive framework, you will lead the end-to-end modeling lifecycle—from deep-diving into our data warehouses to deploying sophisticated models that quantify the impact of internal features and external economic drivers. This role is central to our mission of becoming a truly predictive organization, requiring you to collaborate closely with Finance and Product stakeholders to transform raw data into a strategic roadmap for growth. Beyond technical delivery, you will act as a mentor to the wider BI team, ensuring long-term sustainability through knowledge transfer. We are looking for an ownership-minded specialist who excels at solving complex statistical problems and communicating actionable insights directly to executive leadership.
Responsibilities
- Understanding of machine learning fundamentals (supervised vs. unsupervised learning, model evaluation, feature engineering).
- Experience designing and applying predictive analytics or simple ML models (e.g., regression, classification, clustering) to business problems using Python.
- Collaborate closely with business stakeholders to identify key revenue drivers and translate business logic into high-performing features (Feature Engineering).
- Perform complex data extraction and manipulation within our Snowflake environment.
- Utilize machine learning libraries (e.g., Scikit-learn, XGBoost, Prophet) to improve model accuracy and reliability.
- Visualize model outputs and provide actionable insights.
- Document the modeling process, data lineage, and methodology to ensure transparency and internal knowledge transfer.
Requirements
- BSc/MSc in Mathematics, Statistics, Computer Science, or a related quantitative field.
- 4+ years of experience in Data Science or Advanced Analytics with a focus on time-series forecasting or predictive financial modeling.
- Proficiency in Python for data science and modeling.
- Strong SQL skills and experience working with cloud data warehouses like Snowflake.
- Proven ability to work with non-technical business partners to define requirements and deliver analytical solutions.
- Fluent in English, with excellent communication and presentation skills.
Nice to Have
- Experience within the music, media, or entertainment industry.
- Experience in building and maintaining production-level BI dashboards (ideally Tableau).
- Familiarity with Git for version control.
Benefits
💰 Competitive salary package and participation in our Stock Options plan
🏠 Hybrid work model with flexibility to support your lifestyle
🏥 Comprehensive private health and life insurance coverage
🌴 Extra paid time off to recharge and take care of yourself
💻 The latest tech equipment to support your productivity and creativity
🌍 A collaborative, inclusive, and international work environment
About Us
We are a global technology leader transforming the music and entertainment industry through advanced rights management and data solutions. With 700+ team members across offices in Los Angeles, London, Dublin, Athens, Sofia, Tokyo, and more, we partner with top-tier clients such as Sony Music Publishing, Warner Music Group, BBC, and Universal Music Publishing. Our mission is to help creators, rights holders, and media companies track, manage, and monetize content across platforms like YouTube and TikTok. At Orfium, you’ll join a passionate, international team of developers, designers, scientists, and music lovers, all working together in a flexible, hybrid environment where innovation, openness, and ownership are at the heart of everything we do. We are looking forward to meeting with you!
EEO / Accommodation
At Orfium, we are proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates—regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require any accommodations during the application or interview process, please let us know. We’re here to ensure you have a comfortable and fair experience every step of the way.