IXIS Digital | Data Scientist | Remote-US | Burlington, VT | United States | BigDataKB.com | 2023-01-15

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 solutionsโ€”frequently through integration of novel data sourcesโ€”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+ yearsโ€™ 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




Apply Here

Submit CV To All Data Science Job Consultants Across United States For Free

๐Ÿ” Explore All Related ITSM Jobs Below! ๐Ÿš€ โœ… Select your preferred “Job Category” in the Job Category Filter ๐ŸŽฏ ๐Ÿ”Ž Hit “Search” to find matching jobs ๐Ÿ”ฅ โž• Click the “+” icon that appears just before the company name to see the Job Detail & Apply Link ๐Ÿ“๐Ÿ’ผ

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *