7 часов назад
Junior Data Scientist
86 000 - 94 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Junior Data Scientist (Python/SQL): Building reproducible data science analyses, pipelines, visualizations, and business-facing insights for entertainment and sports operations with an accent on statistical modeling, machine learning, and data quality. Focus on exploring multi-source data, developing classification and prediction methods, and translating business requirements into technical specifications and usable data products.
Location: Hybrid role based out of the Los Angeles office, United States
Salary: $86,000–$94,000 annual base salary, plus benefits and discretionary bonus.
Company
is an entertainment and sports agency working across filmed and live entertainment, digital media, publishing, sponsorships, endorsements, media finance, investing, fashion, licensing, and philanthropy.
What you will do
- Identify, ingest, and evaluate data from multiple internal and external sources.
- Build and support data extraction pipelines and provide input on ETL pipeline development.
- Explore data and create advanced visualizations, metrics, and KPIs.
- Apply statistical methods and machine learning for classification and prediction.
- Document reproducible analyses and explain the strengths and limitations of statistical results.
- Gather and prioritize business requirements, translate them into technical specifications, and present insights in business-friendly formats.
Requirements
- Bachelor’s degree in mathematics, science, engineering, computer science, business, or a related field.
- Proficiency in Python, R, or similar mathematical programming; Python expertise is preferred.
- Proficiency in SQL and modern database management.
- Experience with Spark or similar distributed computing platforms and BI tools such as Power BI or Tableau.
- Strong analytical, problem-solving, communication, prioritization, and presentation skills.
- Ability to work independently and collaboratively while meeting deadlines.
Nice to have
- Master’s degree in a relevant discipline.
- Experience in a data science and analytics department or lab.
- Experience with simulation modeling, large language models, neural networks, NLP, Excel, and PowerPoint.
Culture & Benefits
- Collaborative environment focused on client service and creating opportunities through data.
- Benefits eligibility and discretionary bonus.
- Work arrangement combines office-based collaboration with hybrid flexibility.
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