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Senior Data Scientist - Sales & Marketing Focus(m/w/x)
Building data products and applying statistical analyses for global Sales, Marketing, and HR at a beverage company. 2+ years Python/SQL experience required, FMCG data experience a plus. Employee potential development, opportunity realization.
Requirements
- 2+ years professional experience as Data Scientist or similar
- Python and SQL programming knowledge and practical experience
- Prior FMCG company experience in data/analytics role (plus)
- Ability to prepare datasets ensuring top quality
- Applied Stats and Probability understanding for business context
- Applied understanding of modern computing (git, API, web crawling)
- Experience with version control (Git)
- Familiarity with data transformation tools (dbt)
- Exposure to lightweight application frameworks (Streamlit, Shiny) (plus)
- Ability to present coherent data stories
- Good stakeholder management skills
- Pragmatic critical thinking considering costs/benefits
- Highly motivated to add value and demonstrate impact
- Ability to define and formulate new questions
- Proven capability to see things through to the end
Tasks
- Contribute to global Data Science projects
- Enable data-driven decisions for Sales, Marketing, and HR
- Build and run data products
- Apply statistical analyses to solve business problems
- Create presentations to demonstrate impact
- Introduce new data-driven business ideas
- Propose new statistical methods
- Support new business processes
- Manage and deliver Data Science projects
- Scope and execute Data Science projects
- Ensure project quality and delivery
- Collaborate with IT to scale initiatives
- Propose new ways to generate value
- Manage external consultants
- Guide external colleagues to ensure quality
- Build relationships with internal and external stakeholders
- Absorb constructive feedback
- Support Data Science Manager with core responsibilities
- Track project impact
- Plan project pipelines
- Prepare materials for planning cycles
- Conduct internal trainings
- Onboard new colleagues
- Handle internal and external outreach
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Snowflake
- Git
- dbt
- Streamlit
- Shiny
Benefits
Competitive Pay
- Market-oriented salaries
Other Benefits
- Diversity and inclusion support
- Opportunity realization
Career Advancement
- Employee potential development
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Senior Data Scientist - Sales & Marketing Focus(m/w/x)
Building data products and applying statistical analyses for global Sales, Marketing, and HR at a beverage company. 2+ years Python/SQL experience required, FMCG data experience a plus. Employee potential development, opportunity realization.
Requirements
- 2+ years professional experience as Data Scientist or similar
- Python and SQL programming knowledge and practical experience
- Prior FMCG company experience in data/analytics role (plus)
- Ability to prepare datasets ensuring top quality
- Applied Stats and Probability understanding for business context
- Applied understanding of modern computing (git, API, web crawling)
- Experience with version control (Git)
- Familiarity with data transformation tools (dbt)
- Exposure to lightweight application frameworks (Streamlit, Shiny) (plus)
- Ability to present coherent data stories
- Good stakeholder management skills
- Pragmatic critical thinking considering costs/benefits
- Highly motivated to add value and demonstrate impact
- Ability to define and formulate new questions
- Proven capability to see things through to the end
Tasks
- Contribute to global Data Science projects
- Enable data-driven decisions for Sales, Marketing, and HR
- Build and run data products
- Apply statistical analyses to solve business problems
- Create presentations to demonstrate impact
- Introduce new data-driven business ideas
- Propose new statistical methods
- Support new business processes
- Manage and deliver Data Science projects
- Scope and execute Data Science projects
- Ensure project quality and delivery
- Collaborate with IT to scale initiatives
- Propose new ways to generate value
- Manage external consultants
- Guide external colleagues to ensure quality
- Build relationships with internal and external stakeholders
- Absorb constructive feedback
- Support Data Science Manager with core responsibilities
- Track project impact
- Plan project pipelines
- Prepare materials for planning cycles
- Conduct internal trainings
- Onboard new colleagues
- Handle internal and external outreach
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Snowflake
- Git
- dbt
- Streamlit
- Shiny
Benefits
Competitive Pay
- Market-oriented salaries
Other Benefits
- Diversity and inclusion support
- Opportunity realization
Career Advancement
- Employee potential development
About the Company
Red Bull
Industry
Food
Description
The company is a global leader in the food and beverages industry, known for its energy drinks and commitment to innovation.
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