Overview

IXIS is seeking an experienced leader in machine learning with a proven ability to develop and deploy predictive models to fill the position of Senior Data Scientist for the company. The core responsibility of this role is to build and lead a team to design and implement highly accurate predictive models using state-of-the art ML/AI technologies within a Python/R + AWS stack. Classification and regression with graph and timeseries data will be a primary focus, and there will be opportunities to explore applications for graph neural networks, natural language processing, computer vision techniques, etc. The ideal candidate will combine technical expertise in predictive modeling with an understanding of MLOps and the ability to engage and lead junior data scientists, helping close the gap between model development and production.

This is a full-time, remote or onsite position in our Burlington, Vermont office. We offer competitive compensation packages including health, dental, short-term and long-term disability and vision insurance, 401(k) with company match, flexible work schedules, and exceptional growth opportunities.

Responsibilities

• Design and implement predictive models using state of the art ML/AI technologies to solve real-world business problems
• Identify and prioritize opportunities for new data products and ML/AI applications within the IXIS insights platform
• Use R/Python and a modern data science stack (AWS, Docker, Gitlab) to ensure that models are reproducible, extensible, and easily integrated into the IXIS software platform
• Lead by example: Foster a culture of creativity, experimentation, and continual improvement among the data science team
• Work with data engineers and back-end developers to deploy and maintain predictive models in a production environment
• Lead requirements gathering for modeling projects, oversee technical documentation, and communicate progress and results to non-technical audiences
• Collaborate effectively across teams and departments, including software/QA engineers, strategists, designers, and qualitative researchers
• Prioritize multiple tasks intelligently and maintain clear lines of communication with supervisor and team

Required Skills and Experience

• B.A./B.S. in Computer Science; or B.A./B.S. in a quantitative area (such as Statistics, Applied Math, Data Science or Economics) with a minor (or equivalent experience) in Computer Science; post-graduate degree preferred (commensurate professional experience considered)
• 5+ years’ professional experience with programmatic data analysis and visualization using R/Python + SQL; must be adept at functional programming and love writing clean code – exposure to DevOps and MLOps practices a plus
• Expertise working with data in the wild, including structured and unstructured data, record linkage/householding, data cleaning/reshaping, descriptive data analysis, and exploratory data visualization
• Demonstrated success developing and deploying machine learning pipelines in a professional setting
• Experience with customer analytics and retail/marketing fundamentals a plus
• Uncompromising attention to detail, critical thinking skills, and a systematic and creative approach to problem-solving, with strong data intuition