Job Title: US – Data Scientist / Analyst
Location: RMEOTE but want someone local to NYC to be able to come in for meetings when required
W2 ONLY – we are not able to provide sponsorship for this role
Job Summary: Our team is dedicated to transforming complex rights and licensing data into reliable, high-impact insights and operational tools. We empower the organization to expand its product offerings and ensure accurate publishing and licensing operations through data-driven solutions.
Responsibilities
- Produce and maintain recurring reporting (e.g., market-level and partner-facing reporting).
- Triage and fulfill a portion of incoming requests (e.g., ad hoc data pulls, analysis, or clarifications) in our support channels.
- Partner with cross-functional teams to translate ambiguous publishing/licensing related business questions into clear analytical problems, measurable success metrics, and actionable insights.
- Design, build, and maintain data products that improve how teams consume and trust data (e.g., curated datasets, reusable metrics layers, dashboards, and self-serve tooling).
- Develop and productionize automation that reduces manual work and improves operational consistency (e.g., scheduled analyses, pipelines, validation checks, and monitoring/alerting).
- Build and evaluate statistical and/or machine learning models to support decision-making, prioritization, and forecasting.
- Communicate findings clearly to technical and non-technical audiences through concise narratives, visualizations, and stakeholder-ready summaries.
- Contribute to iterative delivery: prototype quickly, incorporate feedback, and harden solutions into maintainable, well-documented workflows.
Requirements
- Experience implementing all parts of the data science workflow: data cleaning, data analysis, modelling.
- Strong SQL skills and experience working with large, complex datasets.
- Ability to communicate clearly with non-technical stakeholders and translate business questions into data outputs.
- Strong attention to detail and a mindset for data quality and repeatability.
- Knowledge of how to integrate AI tools into the data science workflow.
- Advanced python skills: orchestrating workflows, incorporating cloud data, building data pipelines.
- Familiarity with Music Industry: royalties, rights, licensing, or publishing (nice to have, not required).
- Experience building operational tooling: trackers, validation checks, all with documentation.
- Demonstrated ability to improve processes and reduce manual work through automation.
About SSI People: With over 26 years of industry experience, SSi People has built its reputation and expertise on putting people first. Everything we do works toward delivering exceptional experience for our consultants, our clients, and our internal team. Through a genuine commitment to people in everything we do. We have developed refined processes and a stellar internal team to deliver talent quickly. More importantly, we focus on building long-term relationships, not transactions. Putting people first is just what we do well.
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