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Haystack

Junior Data Scientist

Haystack

Greater Philadelphia · Tempo total

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Experiência
1–3 anos
Salário
Vagas
1
Publicado
há 4 horas
Modo de trabalho
No escritório
Educação
Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science or related field
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Descrição da vaga

About the Role

We are recruiting on behalf of a partner company of Haystack, looking for a Junior Data Scientist to analyze consumer behavior and purchasing patterns, identify customer segments, and deliver insights through statistical analysis and visualization techniques.

Key Responsibilities

  • Analyze consumer data to identify key segments and present actionable insights using statistical methods and visual tools.
  • Integrate data from multiple systems to assess operational efficiency and recommend process enhancements.
  • Perform ad-hoc analyses to evaluate short-term strategic effectiveness, collaborating with multiple teams.
  • Assist in building automated reporting systems for performance metrics across various venues.
  • Contribute to developing scalable data pipelines utilizing Python, R, and SQL for efficient data access.
  • Support the creation of AI-driven applications and workflows to automate tasks and generate recommendations.

Qualifications & Skills

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or relevant discipline; equivalent practical experience considered.
  • 1 to 3 years of experience in data science or analytical roles.
  • Proficient with Python or R for data manipulation and transformation.
  • Experience with SQL for querying and analyzing data.
  • Understanding of data science workflows including cleaning, feature engineering, and predictive modeling.
  • Strong grasp of statistical concepts, experimental design, and essential data science principles.
  • Excellent communication skills to effectively share findings with diverse audiences.

What We Offer

  • Competitive remuneration package.
  • Chance to collaborate with a premier sports and entertainment portfolio.
  • Exposure to advanced data science techniques and AI-driven applications.
  • A teamwork-driven environment encouraging innovation and career development.

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