Data Science Leader

1 week ago

Issaquah, Washington, United States Costco Full time

About the Role:

We are looking for a talented Data Scientist to lead our team at Costco Wholesale. As a Data Scientist, you will be responsible for driving business insights and informing decision-making to enhance the business's understanding of individual population segments, propensities, outcomes, and decision points.

Responsibilities:

  • 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.
  • Framed 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.

Requirements:

  • 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.

Benefits:

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.

Estimated salary range is between $115,000 to $240,000 depending on experience and qualifications.

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