4 часа назад
Jr. Data Scientist (Python)
86 000 - 94 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Jr. Data Scientist (Python/Data Science): Applying statistical modeling, machine learning, simulation, and advanced visualization to solve complex business data problems with an accent on data wrangling, reproducible analysis, and business-focused insights. Focus on building data pipelines, developing classification and prediction models, creating KPIs and visualizations, and translating business requirements into technical specifications.
Location: Hybrid role based out of the Los Angeles office, United States
Annual base salary: $86,000–$94,000, plus benefits and discretionary bonus.
Company
is a global entertainment and sports agency working across media, sponsorships, talent representation, investing, fashion, licensing, and philanthropy.
What you will do
- Identify, ingest, validate, and explore data from multiple sources to answer business questions.
- Build data pipelines for ongoing data extraction and provide input on ETL pipeline development.
- Apply statistical, classification, prediction, and machine learning methods using reproducible scripts and documented processes.
- Create advanced visualizations, metrics, and KPIs that communicate actionable data insights.
- Gather and document business requirements, translate them into technical specifications, and manage prioritization, estimates, and dependencies.
- Present results in business-friendly formats and advise stakeholders on the strengths and limitations of analytical findings.
Requirements
- Bachelor’s degree in mathematics, science, engineering, computer science, business, or a related field.
- Proficiency with Python, R, or similar mathematical programming tools, with Python preferred.
- Proficiency with 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 or analytics department or lab.
- Experience with simulation modeling, large language models, neural networks, or NLP.
- Experience with Excel and PowerPoint.
Culture & Benefits
- Collaborative environment focused on exceptional client service and using data to create opportunities across the organization.
- Benefits eligibility and discretionary bonus.
- Work alongside a global organization with offices across the United States, Europe, and Asia.
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