IT Data Scientist at Costco in Issaquah, WA

Costco IT is responsible for the technical future of Costco Wholesale, the third largest retailer in the world with wholesale operations in fourteen countries. Despite our size and explosive international expansion, we continue to provide a family, employee centric atmosphere in which our employees thrive and succeed. As proof, Costco ranks eighth in Forbes “World’s Best Employers”.

This is an environment unlike anything in the high-tech world and the secret of Costco’s success is its culture. The value Costco puts on its employees is well documented in articles from a variety of publishers including Bloomberg and Forbes. Our employees and our members come FIRST. Costco is well known for its generosity and community service and has won many awards for its philanthropy. The company joins with its employees to take an active role in volunteering by sponsoring many opportunities to help others.

Come join the Costco Wholesale IT family. Costco IT is a dynamic, fast-paced environment, working through exciting transformation efforts. We are building the next generation retail environment where you will be surrounded by dedicated and highly professional employees.

Data Scientists are responsible for driving insights and informing decision making to enhance the business’s understanding of individual population segments, propensities, outcomes, and decision points. Data Scientists have a robust understanding of key concepts such as big data, advanced analytical techniques, data storytelling, and sophisticated modeling techniques. They combine data, computational science, and technology with consumer-oriented business knowledge, to drive high-value insights into the organization.

At Costco, we are on a mission to leverage data to drive revenue growth, reduce cost, and deliver superior member experience. This Data Scientist will be responsible for identifying insights from data through machine learning, deep learning, and AI to augment decision making by the business by applying AI/ML/DL methods and algorithms across retail areas such as forecasting, Membership and Marketing, supply chain cost optimization, and inventory management.

If you want to be a part of one of the worldwide BEST companies “to work for”, simply apply and let your career be reimagined.

ROLE

● Designs the analytics methodology to solve business problems.

● Conducts end-to-end analysis, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

● Enriches enterprise data with external sources of information when needed.

● Enhances data collection procedures to include information that is relevant for building analytic systems.

● Creates automated anomaly detection systems and constant tracking of its performance.

● Works with stakeholders throughout the organization to understand their requests/business problems and to identify opportunities for leveraging company data to drive business solutions.

● Develops comprehensive knowledge of data structures and metrics, and advocates for changes where needed for product development.

● Performs peer review for another Data Scientist’s work.

● Applies AI, machine learning, and other analytical approaches to solve business problems.

● Designs and builds AI/ML/DL models for revenue growth, cost reduction, and to improve member experience.

● Builds LLM models to develop GenAI solutions.

● Frames a problem and comes up with a hypothesis.

● Assesses the effectiveness and accuracy of models on an ongoing basis.

● Identifies new data that could enhance the quality and accuracy of models to improve predictions.

● Communicates results effectively with storytelling and visualization.

● Conducts A/B testings for DS Models and provides options to business.

● Conducts back testing to know the plan vs actual results to improve the DS Model accuracy.

● Provides feedback to enhance the testing framework and AI/MLOps.

● Extends beyond core data science work to perform data wrangling and data preparation as needed.

REQUIRED

● 3+ years’ experience in building and implementing business insights using AI/ML/DL.

● Proficiency in SQL, PySpark, Python, and Machine Learning/Deep Learning.

● Expertise with at least one data visualization tool, preference: PowerBI.

● Proficiency in Machine Learning, Statistical and Reporting tools (Databricks, Python, R, SQL, PowerBI).

● Knowledge of applying AI/ML/DL methods and algorithms across retail areas such as forecasting, pricing, supply chain cost optimization, and inventory management.

● Proven expertise to drive business results, including implementing the solution.

● Knowledge of Deep Learning and Neural Networks, and its applications in Retail, CPG industry.

● Strong experience working in GCP, Azure platform.

● Proficiency in developing and deploying machine learning models at scale.

● Hands-on experience with MLOps practices, including CI/CD for ML pipelines.

● Familiarity with MLflow for experiment tracking and model management.

● Proficiency in working with diverse data types on cloud platforms.

We offer a comprehensive package of benefits including paid time off, health benefits - medical/dental/vision/hearing aid/pharmacy/behavioral health/employee assistance, health care reimbursement account, dependent care assistance plan, short-term disability and long-term disability insurance, AD&D insurance, life insurance, 401(k), stock purchase plan to eligible employees.

Costco is committed to a diverse and inclusive workplace. Costco is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to IT-Recruiting@costco.com

If hired, you will be required to provide proof of authorization to work in the United States.

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