Data Scientist

Data Scientist

Role Overview

We are seeking a skilled Data Scientist to join our team in Seattle, Washington, United States. This role is integral to an IT app development environment, focusing on leveraging data to build intelligent features, optimize performance, and enhance user experience across our applications. You will apply advanced analytical and machine learning techniques to extract insights, predict trends, and inform strategic decisions, contributing directly to the evolution of our products.

Responsibilities

• Analyze large, complex datasets to identify patterns, anomalies, and opportunities for product improvement.
• Develop, implement, and validate machine learning models for various applications such as recommendation systems, personalization, fraud detection, and predictive analytics.
• Design and execute experiments (e.g., A/B tests) to evaluate the impact of new features and models.
• Collaborate with engineering, product, and business teams to define problems, scope solutions, and integrate models into production systems.
• Communicate complex analytical findings and recommendations clearly and concisely to technical and non-technical stakeholders.
• Contribute to the data pipeline architecture and ensure data quality and integrity for analytical purposes.
• Stay current with the latest industry trends, tools, and best practices in data science and machine learning.

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Demonstrated proficiency in programming languages such as Python or R.
• Solid understanding of statistical methods and machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Experience with SQL for data extraction and manipulation.
• Familiarity with data visualization tools and techniques.
• Ability to translate business problems into analytical frameworks and actionable insights.

Preferred Qualifications

• Master's or Ph.D. in a quantitative field.
• Experience with big data technologies (e.g., Spark, Hadoop).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for data processing and model deployment.
• Experience with MLOps practices and tools for model lifecycle management.
• Prior experience in an IT app development environment, working on user behavior analytics, personalization, or similar application-focused data science problems.
• Strong problem-solving skills and intellectual curiosity.

Benefits

• Comprehensive health, dental, and vision insurance coverage.
• Retirement savings plan options.
• Paid time off for vacation, sick leave, and holidays.
• Opportunities for professional development and continuous learning.
• Employee assistance programs.
• A collaborative and inclusive work environment.