Data Scientist

adidas; Portland (OR); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health insurance

HSA/FSA

401k with employer match

Stock Purchase Plan

Education assistance

Paid parental leave

13 paid holidays

Job summary

adidas in Portland, OR seeks a Data Scientist to develop data science products across the analytics lifecycle. You will lead models and methods for North America, enhance existing approaches, and drive faster delivery while improving our data science platform and ML pipelines.

You will collaborate with Global Data & Analytics, IT, and business functions, communicating insights to stakeholders at all levels. Hybrid work policy applies with in-office days Monday–Thursday and remote Fridays.

Qualifications

• Bachelor or Master’s degree in Data Science, Mathematics, Statistics, or related discipline.
• 5–7 years experience in data science/analytics environment.
• Proven track record of working with senior stakeholders.
• Proficiency in data science methods (supervised/unsupervised techniques, recommender systems).
• Proficiency in Python and at least three data science frameworks (e.g., PySpark, Pandas, Numpy, sklearn, lightgbm, Matplotlib, Seaborn, mlflow).
• Familiarity with cloud platforms (Databricks, Snowflake).
• SQL proficiency and understanding of relational/NoSQL databases.
• MLOps knowledge to scale/use cases in a large org.
• English written/oral communication; ability to present to stakeholders.

Responsibilities

• Lead development of data science methods, models, and products for NA stakeholders.
• Enhance existing data science methods, models, and products.
• Improve methodologies and accelerate delivery.
• Support automating data science platform and ML pipeline.

Skills

Data science methods

Python

SQL

MLOps

Stakeholder management

Communication

Education

Bachelor or Master’s in Data Science/Math/Stats

Tools

PySpark

Pandas

NumPy

sklearn

MLflow

Databricks

Snowflake

Job description

The Data Scientist will develop key data science products, methods, and models across the full analytics lifecycle: from defining the business & data understanding to data preparation, modeling, evaluation and deployment.

KEY RESPONSIBILITIES

Data Science

• Lead the development of data science methods, models, and products in support of North America stakeholders.
• Enhance existing data science methods, models, and products.
• Continuously improve our methodologies and challenge the status quo, raising the standards for faster delivery.
• Support improving and automating the data science platform and our machine learning pipeline to facilitate our data science activities and service use cases.

Data Science Network and Storytelling

• Develop and nurture a data science network, both within and outside of adidas, to ensure that best practices and innovations are disseminated across the company.
• Support presenting and promoting results and insights to adidas colleagues at all levels.

Stakeholder Management

• Manage relationships with key stakeholders, ensuring their views and requirements are captured.
• Act as the ambassador for your products, showcasing the key functionalities, driving adoption and assuring operational excellence together with IT peers.

KEY RELATIONSHIPS

• Global Data & Analytics (e.g., Data Assets, Data Platforms, Data Governance, Market Teams)
• Global IT
• Respective business function (GOPS, Finance, HR, Brand Marketing, Wholesale / Retail)
• HR (Senior) Management
• Digital

REQUISITE EDUCATION AND EXPERIENCE / MINIMUM QUALIFICATIONS

Education & Professional Experience

• Bachelor or Master’s degree in Data Science, Mathematics, Statistics, or related technical discipline.
• At least 5-7 years work experience, preferably in a data science or analytics environment.
• Will accept any suitable combination of education, training or equivalent relevant job experience.
• Proven track record of working with senior stakeholders.
• Proficiency in data science methods (including supervised techniques, unsupervised techniques, recommender systems).
• Proficiency in Python and at least three of the standard data science programming frameworks (e.g., PySpark, Pandas, Numpy, sklearn, lightgbm, Matplotlib, Seaborn, mlflow).
• Familiarity with modern cloud compute platforms (e.g., Databricks, Snowflake).
• Solid understanding of relational databases and NoSQL databases.
• Proficiency in SQL.
• Solid understanding of Machine Learning Operations (MLOps) required to scale and sustain use cases in a large and global corporation.
• Concise written and oral communication skills (English).
• Comfortable presenting complex topics to stakeholders at various organizational levels.
• Proven team player that can collaborate across functions and organizations.
• Ability to develop influential and collaborative relationships.
• High resilience and solution-oriented attitude.
• adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace. We actively encourage individuals with disabilities to apply and will provide reasonable accommodations throughout the recruitment process. We do not tolerate the harassment or discrimination toward any of our applicants or employees. We are an Equal Opportunity Employer.
• adidas offers robust and progressive medical, including HSA (Health Savings Account) with employer funding or FSA (Flexible Spending Account) options, dental, vision, prescription drug coverage, adoption, with surrogate and fertility support, short and long-term disability, and basic life and AD&D insurance. Employees are able to enroll in adidas’ 401k plan and Stock Purchase Plan with employer match. Full-time employees are eligible for education assistance and generous Leave policies including 14 weeks of paid parental leave.
• Employees are eligible to earn an annual bonus based on company performance. Employees accrue prorated flexible time off in the amount .4388 hours per day that increases with years of service, twelve paid holidays throughout the calendar year and Service Time Off during milestone years.
• At adidas we offer a Hybrid work policy which requires attendance in the office Monday through Thursday, with the flexibility to work remotely on Friday each week. For work requiring a high degree of collaboration or an in-person presentation, in-office attendance is required even on Friday. The working location of this position is Portland, OR.
• Though our teammates hail from all corners of the world, our working language is English.

AT ADIDAS WE HAVE A WINNING CULTURE. BUT TO WIN, PHYSICAL POWER IS NOT ENOUGH. JUST LIKE ATHLETES OUR EMPLOYEES NEED MENTAL STRENGTH IN THEIR GAME. WE FOSTER THE ATHLETE’S MINDSET THROUGH A SET OF BEHAVIORS THAT WE WANT TO ENABLE AND DEVELOP IN OUR PEOPLE AND THAT ARE AT THE CORE OF OUR UNIQUE COMPANY CULTURE: THIS IS HOW WE WIN WHILE PLAYING FAIR.

• COURAGE:Speak up when you see an opportunity; step up when you see a need..
• OWNERSHIP:Pick up the ball. Be proactive, take responsibility and follow-through.
• INNOVATION: Elevate to win. Be curious, test and learn new and better ways of doing things.
• TEAMPLAY: Win together. Work collaboratively and cultivate a shared mindset.
• INTEGRITY: Play by the rules. Hold yourself and others accountable to our company’s standards.
• RESPECT: Value all players. Display empathy, be inclusive and show dignity to all.

At adidas, we strongly believe that embedding diversity, equity, and inclusion (DEI) into our culture and talent processes gives our employees a sense of belonging and our brand a real competitive advantage.

Culture Starts With People, It Starts With You

By recruiting talent and developing our people to reflect the rich diversity of our consumers and communities, we foster a culture of inclusion that engages our employees and authentically connects our brand with our consumers.