Job Location: Burlington, VT
Job Detail:
Overview
IXIS is seeking an energetic, innovative quantitative researcher with fluency in machine learning and classical statistics and a proven ability to execute analytic initiatives to fill the position of Associate Data Scientist for the company. 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.
The core responsibilities for this role include working with a team to design sophisticated quantitative solutions—frequently through integration of novel data sources—and executing these solutions programmatically and reproducibly. The ideal candidate will combine deep technical expertise in programmatic statistical analysis and predictive modeling with strong data IQ to create data-driven visuals and narratives that answer client questions.
Responsibilities
- Design and execute quantitative analyses to extract actionable insights that directly address client needs and questions
- Import, clean, integrate, explore, and visualize large datasets to support ongoing research projects and ad hoc client requests
- Use R and other software tools (SQL, Rmarkdown, GitLab) to ensure that quantitative analyses are reproducible, and leverage CICD pipelines to deploy automated jobs in our AWS stack
- Work with data engineers to plan, implement, and automate integration of external data sources across a variety of architectures, including local databases, web APIs, CRM systems, etc.
- Work with our quantitative and development teams to design and implement automated data analysis and predictive modeling technologies in support of client deliverables
- Participate in quantitative requirements meetings to build supporting evidence for retail and digital strategies
- Collaborate with technical, development, database and QA engineers
- Prioritize multiple tasks intelligently and maintain clear lines of communication with supervisor, team, and clients
Desired Skills and Experience
- B.A./B.S. in Computer Science; or B.A./B.S. in a quantitative area (such as Statistics, Mathematics, Data Science or Economics) with a minor (or equivalent experience) in Computer Science; post-graduate degree preferred
- 2+ years’ professional experience with programmatic data analysis (R / Python / SAS); experience with R and tidyverse packages (dplyr, purrr, ggplot, Shiny) preferred
- Experience working with real-world datasets, including database queries, data aggregation, record linkage, data cleaning/reshaping/management, and descriptive data analysis; data visualization and automated reporting experience preferred
- Exposure to digital analytics (such as Google Analytics or Adobe Analytics) and e-commerce fundamentals a plus
- Experience developing data science solutions within a cloud environment (ideally AWS) a plus
- Experience with MMM (Media Mix Modeling) and CLV (Customer Lifetime Value) modeling to develop data-driven insights
- Excellent attention to detail, critical thinking kills, and a systematic approach to problem-solving, with strong data intuition
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