- Experiencia
- 1–3 años
- Salario
- —
- Vacantes
- 1
- Al corriente
- Hace 2 horas
- Modo de trabajo
- En la oficina
- Educación
- Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science or related field
- Reanudar
- Se requiere solicitud
Descripción del trabajo
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.