For our client, we are seeking a Principal Data Scientist to join the team of a leader in the Retail & Consumer Goods space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a consumer-facing environment.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $143,000 – $286,000 annually
Responsibilities
- Apply machine learning ranking algorithms to enhance search system relevance
- Build, validate, test, and deploy predictive models to solve business and engineering challenges
- Identify, collect, and analyze appropriate data for predictive modeling and algorithm development
- Lead developments in natural language processing, computer vision, information retrieval, and recommender systems
Qualifications
- 7+ years of experience in the machine learning field with an interest in scaling technology
- Proficient in data cleaning, preparation, featurization, and selection techniques
- Experience with large datasets to resolve complex problems
- Familiarity with deep learning libraries such as TensorFlow and/or PyTorch, and with Spark or Hadoop
- Proficient in Python, Java, or Scala for coding resilient machine learning pipelines
- Strong interpersonal skills and effective communication
- Ability to manage multiple projects independently and collaboratively in a fast-paced environment
- Ph.D. or Master's degree in relevant fields like Computer Science, Statistics, or Mathematics
Benefits
- Opportunity to contribute to impactful projects in e-commerce and machine learning
- Work with cutting-edge technologies in a dynamic team environment
- Engage in complex problem-solving that influences user experience
- Access to professional development and continuous learning in a fast-paced role
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.