Data Scientist (m/w/d) - Job Opportunity at Red Bull

Santa Monica, USA
Full-time
Mid-level
Posted: March 19, 2025
On-site
USD 145,000-174,000 per year

Benefits

Comprehensive Medical Coverage with competitive health insurance options
Dental and Vision Plans with full coverage
401(k) Match indicating strong retirement support
Flexible Family Leave Policy
Generous PTO & Paid Holiday Schedule
Pet Insurance showing modern benefits approach
Legal Services Coverage
Life Insurance for financial security
Tuition Reimbursement supporting career development

Key Responsibilities

Lead advanced analytics initiatives for sales, operations, and marketing impact
Drive data-enabled decision making through machine learning and optimization solutions
Develop and implement predictive modeling for customer behavior analysis
Conduct experimental design and causal inference studies
Collaborate cross-functionally with business stakeholders and technical teams
Create and maintain robust, replicable data science models
Perform complex data wrangling and visualization tasks

Requirements

Education

Bachelor's or Master's Degree in Computer Science or related field

Experience

2+ Years of Experience Working in a Data Scientist or Statistician Role

Required Skills

Advanced knowledge of statistics SQL Python R and popular packages Visualization tools and techniques Experience in dispatch optimization High degree of data literacy
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

Consumer packaged goods (CPG) companies are increasingly leveraging advanced analytics for market optimization and customer insights Integration of data science with traditional marketing functions shows growing emphasis on data-driven decision making Rising demand for professionals who can bridge technical expertise with business acumen in the beverage industry

Salary Evaluation

The offered salary range of $145,000-174,000 is competitive for a mid-level data scientist role in the Los Angeles metropolitan area, particularly in the CPG sector. This positions slightly above market median due to Red Bull's market leadership and the role's strategic importance.

Role Significance

Likely part of a specialized data science team of 5-8 members, working within a larger analytics organization
Mid-level individual contributor role with significant project ownership and cross-functional influence

Key Projects

Marketing effectiveness optimization and attribution modeling Supply chain and operations optimization initiatives Customer behavior prediction and segmentation analysis Sales forecasting and market opportunity identification

Success Factors

Strong balance of technical expertise and business acumen Ability to translate complex analytical findings into actionable business insights Experience with large-scale data processing and analysis in a consumer goods context Strong stakeholder management and cross-functional collaboration skills

Market Demand

High demand position with strong market growth potential, particularly in the CPG sector where data science capabilities are becoming critical for market competitiveness

Important Skills

Critical Skills

Advanced statistical analysis for complex business problem solving Python/R programming for scalable solutions Business acumen and stakeholder management Experience with dispatch optimization indicating focus on operational efficiency

Beneficial Skills

Experience in CPG or beverage industry Marketing analytics expertise Causal inference and experimental design Data visualization and storytelling

Unique Aspects

Opportunity to work with a globally recognized brand in the beverage industry
Strong focus on creative analytics solutions rather than traditional CPG approaches
Direct impact on high-visibility marketing and operations initiatives

Career Growth

Typical progression to senior role within 2-3 years, management track possible within 3-4 years

Potential Next Roles

Senior Data Scientist Lead Data Scientist Analytics Manager Data Science Manager

Company Overview

Red Bull

Red Bull is a global leader in the energy drink market, known for innovative marketing and strong brand presence

Market leader in the energy drink segment with consistent growth and global expansion
Strong presence in North American market with established data science capabilities
Fast-paced, innovative environment with emphasis on creativity and impact
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.