Reports toManager of Data Science
Location Madison Heights, MI — USA

Our vision at Xeeva is to harmonize business commerce and deliver results through intelligence. We are a software company that has built an artificial intelligence platform, which has important implications for machine-driven business intelligence, spend analysis, data cleansing, and e-commerce. We aim to instantly connect users to the information most meaningful to them to deliver business results. Realizing this vision involves work in areas such as recommendation systems, information retrieval systems, large graph analysis, machine learning, etc.

We are looking for a senior data analyst to help us fulfill our vision. In this position, you’ll work on exciting modeling, manifestation and complex relationship determination, all at a really big scale.

What we want you to do:

Data Cleansing and Enrichment

  • Perform necessary data conversions, data cleansing, and data enrichment
  • Apply industry knowledge to setup and augment incoming datasets in order to facilitate meaningful analyses
  • Design and evaluate novel approaches for handling high-volume, real-time data streams
  • Work with large, unstructured and structured data sets (multi-gigabyte+, $100MM+ daily transaction volumes)
  • Strong experience building big data pipelines/frameworks/foundational services at scale


  • Mine data for opportunity insights
  • Analyze data to determine trends, patterns, anomalies, and/or benchmark performance to provide insight to clients, sourcing, and pre-sales teams
  • Develop models to quantify the value of insights, systems, or organizational performance
  • Apply data mining, machine learning, and/or graph analysis techniques for a variety of modeling and relevance problems involving users, their relationships, their transactional behavior, and data classification and enrichment


  • Develop dashboard reporting for KPIs, spend management, opportunity identification, supplier performance, user experience, departmental and individual program performance
  • Ensure we provide the best possible user experience for our enterprise solution customers that delivers a high level of usability for both casual and expert users

Product Development Support

  • Identify opportunities to leverage AI in analytics and processes to improve performance and metrics
  • Work with product development teams to embed new analytics and insights into mainstream products

What we want to see:

  • Bachelor’s degree in MIS, computer science, supply chain, or related field
  • 2-6 years’ experience in data cleansing and analysis with multiple medium to large datasets
  • Solid foundation in data structures, algorithms, distributed systems, and dashboard design
  • Knowledge of a scripting language, e.g. Ruby or Python
  • Experience developing dashboards and reports using SQL query-based tools, Tableau, or other BI tool experience a plus
  • Previous experience with building predictive and prescriptive analytic models a plus
  • Excellent written and verbal communication skills

Who you are:

  • Highly energetic and proactive
  • Enjoy making sense of chaos and working with a diverse group of builders, entrepreneurs, creators, and all around great people
  • Entrepreneurial at heart, thrive in an ever-evolving startup environment and your passion is evident in your work
  • Passionate about the latest developments in technology
  • Fast learner and open to constructive criticism
  • Desire to dive in and learn in a fast-paced environment
  • Collaborative team player with the ability to shift gears quickly, efficiently, and effectively
  • Dependable and reliable with clear thinking and attention to detail
  • Great sense of humor and outlook on life…we laugh a lot!

You’ve made it to the end so now is the time to decide if you’ll hit that little “X” at the top of the page and keep your work life as is, or take the first step towards starting an exciting, new, challenging chapter in your career. If it’s the latter, then apply right now and use the space in your resume and cover letter to actually tell us who you are – not just what you’ve done. Of course, you should include info on some of your accomplishments, but for extra credit send us a sample of something that inspires you (not something you created) – no explanation needed.

Apply now: