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Data Scientist

Company Description

This is a unique opportunity to join a data science team that develops and deploys creative, impactful analytics solutions inside an established, market leading, brand that is consistently growing and evolving.  

 

As the data scientist, you will be responsible for applying advanced analytics, data wrangling, and visualization skills to solve problems with our functional partners in sales, operations, and marketing. You’ll collaborate with fellow data scientists and data engineers to help our business partners better understand their data and create impactful insights. 

 

This is a great opportunity to apply data science to tackle complex problems with sophisticated and concise solutions that have a direct impact on the business. You will be expected to have a high level of curiosity and desire to learn. If you are motivated by solving problems, making an impact with data, and curiosity for marketing and operations, this is your role.   

Job Description

DATA SCIENCE COLLABIRATION 


Collaborate with our business, BI, and engineering partners across the organization to create and deliver data science solutions for impactful business problems. 

Identify and gather data from both internal and external sources, assess data quality, complete exploratory analysis, and structure data for the task. 

Deeply understand our users and our data to identify opportunities for creating machine learning, optimization and causal inference solutions to grow our business. 

Build data enabled, robust and replicable data science models. 

Use experimentation and causal inference to measure the impact of business actions on KPIs. 

Develop and refine predictive models to forecast customer actions and improve marketing and business outcomes. 

Communicate approaches to business partners in easy-to-unders

Qualifications

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

Bachelor's or Master's Degree in Computer Science or a related field, or experience commensurate with education requirements. 

Advanced knowledge of statistics, SQL, Python, R (and popular packages), and popular visualization tools and techniques  

A deep love of data and high degree of data literacy gained through extensive experience working with data. 

Experience in dispatch optimization 

Working experience as a data scientist, ideally in a CPG setting, a plus 

Additional Information

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 $116,000 to $174,000 + 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 (Benefits listed may vary depending on the nature of your employment and/or work location)

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 Federal, state, or local law. We will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.

Average salary estimate

$145000 / YEARLY (est.)
min
max
$116000K
$174000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Scientist , Red Bull

Are you ready to take on an exciting role as a Data Scientist at Red Bull North America in sunny Santa Monica, CA? Join our innovative data science team where you'll harness the power of analytics to drive impactful business solutions. In this role, you’ll employ advanced analytics, data wrangling, and your visualization skills to collaborate with our sales, operations, and marketing partners. You will dive deep into data, working alongside fellow data scientists and data engineers, to build insightful models that guide our business decisions. Your curiosity will be your greatest asset as you explore complex problems and turn them into concise, actionable solutions. The ideal candidate will have a solid understanding of data science principles, combined with a desire for continuous learning. You'll leverage machine learning, optimization, and causal inference to boost customer engagement and improve marketing effectiveness. With a firm understanding of statistics and experience in tools like SQL, Python, and R, you’ll be empowered to revolutionize the use of data within our organization. If you're passionate about solving problems and making a tangible impact, this is your moment. We're not just looking for a Data Scientist; we want someone who loves diving into data and transforms insights into strategies. Join us and help us continue to lead the market while evolving how we leverage analytics!

Frequently Asked Questions (FAQs) for Data Scientist Role at Red Bull
What responsibilities does a Data Scientist at Red Bull North America have?

As a Data Scientist at Red Bull North America, you'll collaborate with business, BI, and engineering teams to create solutions for significant business challenges. Your main responsibilities will include gathering and assessing data, exploring data quality, building predictive models, using experimentation to optimize business outcomes, and communicating insights to various stakeholders in an easily digestible manner.

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What qualifications are necessary for the Data Scientist position at Red Bull North America?

To qualify for the Data Scientist role at Red Bull North America, you should have at least 2 years of experience in a data scientist or statistician position, along with a Bachelor's or Master's degree in Computer Science or a related field. Advanced knowledge of statistics, SQL, Python, R, and experience in dispatch optimization is highly beneficial.

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What software skills are essential for a Data Scientist at Red Bull North America?

A successful Data Scientist at Red Bull North America should have advanced proficiency in SQL, Python, and R, including popular libraries and visualization tools. Understanding statistical packages and a strong grasp of data manipulation techniques are also critical for the role.

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What is the salary range for the Data Scientist position at Red Bull North America?

The base salary range for a Data Scientist at Red Bull North America is between $116,000 and $174,000, along with potential cash incentives. Salary offers may vary based on experience and qualifications, with additional benefits that enhance the overall compensation package.

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What are the benefits offered to Data Scientists at Red Bull North America?

Data Scientists at Red Bull North America enjoy a comprehensive benefits package that includes medical, dental, and vision plans, a 401k match, family leave, paid time off, pet insurance, tuition reimbursement, and more, reflecting our commitment to employee well-being.

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Common Interview Questions for Data Scientist
Can you explain your experience with statistical analysis as a Data Scientist?

When answering this question, highlight specific experiences where you've used statistical analysis in your projects. Discuss the tools you used, the methodologies you applied, and the outcomes of your analysis to demonstrate your proficiency as a Data Scientist.

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How do you approach data wrangling and cleaning?

Discuss your process for data wrangling, including methods for handling missing values, outlier detection, and normalization techniques. Emphasize your attention to detail and experience in preparing datasets for analysis to ensure they are reliable and valid.

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Describe a challenging analytics problem you solved as a Data Scientist.

Provide a detailed account of a specific problem you faced, the data you worked with, and how you implemented a solution. Focus on your analytical thinking and the impact of your solution on the business's performance.

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What visualization tools do you integrate into your data science projects?

List the visualization tools you're familiar with and give examples of how you've used them to convey insights. Talk about how visualization aids in decision-making and enhances stakeholder understanding of complex data.

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What machine learning techniques have you applied in your previous roles?

Detail specific machine learning techniques you've worked with, including supervised and unsupervised learning methods. Provide insights into any predictive models you've built and the results achieved.

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How do you communicate technical findings to non-technical stakeholders?

Explain your approach to simplifying complex data findings into layman's terms and using storytelling methods. Highlight any tools or techniques you use to make presentations engaging and informative for stakeholders.

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Can you discuss your experience with A/B testing?

Share examples of A/B testing scenarios you've executed, including how you set up experiments, defined success metrics, and interpreted the results. Discuss the implications the findings had on business strategies.

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What role does curiosity play in your work as a Data Scientist?

Express how your curiosity drives you to explore data beyond the surface. Share instances where your inquisitiveness led to unexpected insights and how this mindset enhances your data science work.

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How do you stay updated with the latest trends in data science?

Discuss the resources you utilize to stay informed, such as online courses, research papers, and conferences. Mention any communities or networks of data scientists you engage with to share knowledge and learn.

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What are your thoughts on data privacy and ethical considerations in data science?

Share your perspective on the importance of data privacy and ethics in your work. Discuss how you ensure compliance with regulations and how you incorporate ethical considerations in your data models.

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Check out redbull.com/jobs to contact or comment and apply for job openings in Marketing, Media, Sales, Finance, Operations, Human Resources and IT. We are all unique with different strengths passions and goals take Red Bulls free www.wingfinder....

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Full-time, on-site
DATE POSTED
March 19, 2025

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