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.
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.
As a Senior Applied Data Scientist you will be leading critical decisions through solutions that drive top line for the company. You'll use your Machine Learning / Deep Learning hands on expertise to build solutions at scale that solve business problems such as Inventory Optimization, Demand Forecasting and Pricing optimization. Your expertise in building, deploying and managing models in production is an essential part of this job. It's a fast paced, data driven and impactful role that leverages your problem solving ability and creative thinking to solve unique, complex problems in retail at scale.
At Costco, we are on a mission to leverage data, machine learning, and deep learning solutions to drive revenue growth, reduce cost, and deliver superior member experience. This role must have the proven experience to drive business results. You have the passion to communicate business value through data story telling, curiosity to learn, and experiment.
We are looking for an experienced self-starter, customer focused senior applied scientist who wants to work in a fast moving and highly collaborative environment and willing to be the player as well as coach for the data science community at Costco.
Job Duties/Essential Functions
Builds Machine learning, Deep Learning and other AI approaches to solve business problems.
Designs and builds AI/ ML/DL models to enable revenue growth, improve efficiencies, and to enhance member experience.
Frames a problem and comes up with a hypothesis.
Assesses the effectiveness and accuracy of new data sources and data gathering techniques.
Validates data and model accuracy on an ongoing basis to ensure continued high accuracy and outcome
Coordinates with operational and business teams to implement models and monitor outcomes.
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 and suggests options
Conducts back testing to know the plan vs actual results to improve the DS Model accuracy.
Working experience with building AI solutions on the Cloud platform
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.
Regular and reliable workplace attendance at your assigned location.
Experience, Skills, Education & Licenses/Certifications
Required:
8+ years experience in building and implementing Machine Learning, Deep Learning models in production at scale
5+ years experience working in Retail/CPG/eCommerce industry.
Proficiency in SQL, PySpark, Python
Proficiency in Core GCP Services: Compute Engine, Cloud Storage, BigQuery, Cloud SQL, VPC.
Proficiency in ML/AI platform: Vertex AI (training, prediction, pipelines), AutoML, TensorFlow.
Experience with at least one data visualization tool, preference: PowerBI. Looker
Strong working knowledge of Cloud platforms (GCP, Azure)
Hands-on experience with MLOps practices, including CI/CD for ML pipelines.
Familiarity with MLflow for experiment tracking and model management.
Recommended:
Bachelor's/Master's degree, or the equivalent, in Computer Science, Data Science, and Statistics/Mathematics or related field.
Knowledge of Agile software development.
Exposure to the retail industry.
Excellent verbal and written communication skills.
Proficient in Google Workspace applications, including Sheets, Docs, Slides, and Gmail.
Successful internal candidates will have spent one year or more on their current team.
Pay Ranges:
Level 1 - $115,000 - $160,000
Level 2 - $145,000 - $192,000, Bonus and Restricted Stock Unit (RSU) eligible
Level 3 - $188,000 - $240,000, Bonus and Restricted Stock Unit (RSU) eligible
Level 4 - $236,000 - $295,000, Bonus and Restricted Stock Unit (RSU) eligible
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.
