At YETI, we believe that time spent outdoors matters more than ever and our gear can make that time extraordinary. When you work here, you’ll have the opportunity to create exceptional, meaningful work and problem solve with innovative team members by your side. Together, you’ll help our customers get the high-quality gear they need to make the most of their adventures. We are BUILT FOR THE WILD™.

The Data Scientist will draw insights from large and/or complex data sets to solve business problems addressed by use cases. The Data Scientist will assess applicability of different AI/ML methods for use cases and be responsible for building and iterating models to support business outcomes. The Data Scientist will help drive advanced analytics thinking and methodologies by investigating important business topics and sharing insights with broader Data & Analytics team and business stakeholders.

Responsibilities:
•Gather business requirements, translate them into information solutions, identify required data structures and apply strong expertise in advanced analytics techniques (e.g. artificial intelligence and machine-learning) to design, prototype, and build solutions to business problems.
•Build and maintain advanced marketing mix models (MMM) and multi-touch attribution (MTA) models to quantify the effectiveness of various marketing and sales channels, informing budget allocation and strategic planning.  Derive actionable insights from models to drive marketing effectiveness, translate findings into clear presentations, and effectively communicate results to stakeholders.
•Develop and implement robust matched market geo testing framework to evaluate the incremental impact of marketing initiatives, providing actionable insights to optimize campaign performance and ROI.
•Proficient in developing and deploying AI models using Python and experience in applying these models to solve real-world business problems.
•Collaborate with Data Engineer(s) to support data modelling and testing during projects
•Ensure analytics tools and methods used in projects are robust and of the highest quality
•Ensure frequent communication with other stakeholders to drive use case development and manage expectations on model limitations and lead times
•Contribute to build the capabilities of Advanced Analytics, attending conferences, allocating time to investigate new topics, etc.

Qualifications and Attributes:

• Bachelor’s degree in a relevant field and at least 2 years' experience in a data science related role, OR Master’s degree or higher in Computer Science, Mathematics, Engineering, and at least 0-2 years' experience in a statistical and/or data science role

• Expertise in advanced analytical techniques (e.g. descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, segmentation analysis, etc.)

• Experience using analytical tools and languages, (e.g., Python, R, Pyspark, etc.)

• Experience working with large data sets and distributed computing tools (e.g. Hadoop, Hive, Spark, AWS Lambda, etc.)

• Experience with data visualization tools (e.g. Tableau, PowerBI)

• Diligent attention to detail and strong technical intuition

• Knowledge of the industry and ability to translate business needs into advanced analytics solutions

• Ability to communicate effectively with both the advanced analytics team and business unit

• Experience collaborating with a cross-functional teams

Benefits & Perks:

Click here to learn about the benefits and perks we offer at YETI.

YETI is proud to be an Equal Opportunity Employer.

Our commitment to creating a diverse, equitable, and inclusive culture is at the center of everything we do for our employees. We embrace all applicants looking to bring their authentic selves to YETI and contribute to our mission of keeping the wild WILD. Find out more about our commitment to DE&I at yeti.com/esg.html.

All applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.

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