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Arc Exclusive
Arc Exclusive

Senior Data Scientist - FT - US (Hybrid in LA)

Location

Remote restrictions apply
See all remote locations

Hourly rate

Hourly rate

Min. experience

5+ years

Hours per week

40 hours

Duration

16 weeks

Required skills

Statistical AnalysisPythonData Pipelines

Freelance job
Posted 18 days ago
Apply now
Actively recruiting / 5 applicants

We’re here to help you

Jane Cervantes is in direct contact with the company and can answer any questions you may have. Email

Jane CervantesJane Cervantes, Recruiter

Role Overview

Join our client as a Senior Data Scientist and be instrumental in building an intelligence system for the music and entertainment industry. You will own and innovate the data processes that highlight emerging artists and trends, working closely with the founding team to shape the future of our data-driven insights. Your work will directly impact how entertainment teams utilize data to enhance their strategies and outcomes.

Responsibilities

  • Build and manage the data pipelines that handle ingestion, cleaning, and entity resolution across music streaming, social media, and rights data.
  • Develop predictive models that identify emerging artists, songs, and trends before they become mainstream.
  • Design and implement a measurement framework that evaluates the effectiveness of campaigns, contributing to smarter decision-making processes.
  • Collaborate with the engineering team to transform model outputs into APIs and product features.
  • Establish data standards and best practices, contributing to the growth and development of the data team.

Required Skills

  • Proficiency in Python and SQL, with proven experience in managing data pipelines in production environments.
  • Demonstrated expertise in statistical modeling or machine learning, particularly with real-world, complex datasets.
  • Strong analytical skills with the ability to discern valuable questions and communicate findings clearly.
  • Self-starter attitude with comfort in being the first data hire, capable of independently scoping and executing projects.

Nice to Have

  • Experience working with music or entertainment data, including charts, streaming, social media, and rights & royalties.
  • Knowledge of ranking, recommendation, or entity-resolution systems.
  • Previous experience in an early-stage startup environment.

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