This Principal Data Scientist role leads efforts at the intersection of data, AI, and scalable technology delivery for a leader in the Retail & Consumer Goods space. Responsibilities include applying machine learning ranking algorithms, building predictive models, and leading developments in NLP, computer vision, information retrieval, and recommender systems. The position involves partnering with various stakeholders to drive data-driven execution and focus on key metrics in a consumer-facing environment.
About the role
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.