Job Details

About the job

This is a unique opportunity to join a data science team that develops and deploys innovative analytics solutions within a well-established, market-leading brand that is continuously growing and evolving.

As a senior data scientist, you will be responsible for utilizing machine learning, data wrangling, and visualization skills to tackle problems in collaboration with our functional partners in sales, operations, and marketing. You will manage and work alongside fellow data scientists and data engineers to help our business partners better understand their data and generate meaningful insights. Additionally, you will mentor and oversee direct reports within the data science team, assisting them in developing their technical skills, guiding their career growth, and fostering a collaborative and innovative team environment.

This role presents an excellent opportunity to apply data science to address complex problems with sophisticated yet concise solutions that directly impact the business. We expect you to demonstrate a high level of curiosity and a strong desire to learn. If you are driven by solving problems, making a difference with data, and have an interest in marketing and operations, this position is for you.

Furthermore, this role offers the chance to contribute to the development of our data models, which are still in the early stages. This means you will have the opportunity to make a long-term, meaningful impact while recognizing that you will not be stepping into a fully developed data model.

All the responsibilities we'll trust you with:

DATA SCIENCE

1. Collaborate with our business, BI, and engineering partners across the organization to create and deliver data science solutions for impactful business problems
2. Identify and gather data from both internal and external sources, assess data quality, complete exploratory analysis, and structure data for the task.
3. Deeply understand our users and our data to identify opportunities for creating machine learning, optimization, and causal inference solutions to grow our business.
4. Build data-enabled, robust, and replicable data science models and pipelines.
5. Use experimentation and causal inference to measure the impact of business actions on KPIs.
6. Develop and refine predictive models to forecast customer actions and improve marketing and business outcomes.
7. Communicate approaches to business partners in easy-to-understand terms, synthesizing key findings and outcomes that enable business professionals to act.

Your areas of knowledge and expertise that matter most for this role:

1. Bachelor's or Master's Degree in Computer Science or a related field, or experience commensurate with education requirements.
2. 5+ Years of Experience Working in a Data Scientist or Statistician Role.
3. Advanced knowledge of statistics, SQL, Python, R (and popular packages), and popular visualization tools and techniques.
4. A deep love of data and high degree of data literacy gained through extensive experience working with data.
5. Experience in dispatch optimization.
6. Working experience as a data scientist, ideally in a CPG setting, a plus.

This position is open to U.S. citizens, U.S. permanent residents, or individuals who are currently authorized to work in the United States on a valid visa.

The base salary range for this position is $140,000 to $210,000 + cash incentives. Actual salary offers may vary based on work experience. The base pay range is subject to change and may be modified.

Our current Benefits include:

• Comprehensive Medical, Dental and Vision Plans
• 401k Match
• Family Leave, PTO & Paid Holiday Schedule
• Pet, Legal, and Life Insurance
• Tuition Reimbursement

Red Bull North America, Inc. is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, age, or any other classification protected by law. We consider all qualified applicants, including those with criminal histories, in accordance with applicable laws.