Senior Data Scientist
Xactly Denver, CO, USA $100k – $170k Long term Senior
Health Insurance
About Xactly

Xactly is a leading provider of enterprise-class, cloud-based, incentive compensation solutions for employee and sales performance management. We address a critical business need: To incentivize employees and align their behaviors with company goals. Our products allow organizations to make more strategic decisions, increase employee performance, improve margins, and mitigate risk. Our core values are key to our success, and each day we’re committed to upholding them by delivering the best we can to our customers.

Xactly is proud to be an Equal Opportunity Employer. Xactly provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, pregnancy, sexual orientation, or any other characteristic protected by law.

We do not accept resumes from agencies, headhunters, or other suppliers who have not signed a formal agreement with us.

Job Description

       Xactly is looking for a passionate individual who thrives on telling a story with data and turning it into actionable insights. Driven by a strong entrepreneurial spirit, you will be responsible for machine learning framework selection, model creation, implementation, algorithm development, and data analysis.  You will own projects from the beginning to the end and evolve as an essential part of Xactly’s data-centric culture. You will have a unique opportunity to impact and change sales behavior of every company on this planet.

       Working at Xactly your work will have a strategic and measurable impact not just on our business but on our customer's businesses too.  You + Big data = Big impact + Big reach. In this position, you will work on strategic data analysis, predictive modeling algorithms and data visualization that will truly shape the future of business.  You will be working with actual empirical incentive management data (monetary, social, gamification) that incents personal behavior to achieve measurable business results. Can you imagine the possibilities? We can.

       Our development team is nimble, executes quickly and is full of smart engineers from well-respected companies and universities like yourself. We focus on hiring individuals who are passionate, creative, energetic and fun to work with.  You should be comfortable as a software engineer and a quantitative researcher. Working in a dynamic agile environment, you will collaborate daily with product managers, data engineers, architects, and software engineers.

Benefits and Perks:

  • Flexible Time Off (FTO)
  • Comprehensive Insurance Coverage (including pet insurance!)
  • Tuition Reimbursement
  • XactlyFit Gym/Fitness Program Reimbursement
  • Kitchen Stocked Daily with Tasty Snacks, Fruit, and Drinks
  • Access to Corporate Discounts
  • Parking & Commuter Benefits
  • Up to (3) Days Paid Leave to Participate in Community & Volunteer Opportunities
  • End of Month Surprises, Contests, BBQs, Parties & Reward Vacations
  • 401(k) Retirement Savings Plan & Employer Match

Requirements

Must Have:

  • Strong intellectual curiosity about data and a drive to create products from data
  • Deep knowledge of information retrieval, data mining, machine learning, statistical analysis, and modeling
  • Hands-on programming skills with one of R, Java, Scala or Python   
  • Familiarity with one or more machine learning tools such as Spark MLib, TensorFlow, R, Scikit learn or H2O
  • Experience with data visualization tools such as Tableau, BI dashboarding, R visualization packages, etc.
  • Good knowledge of relational SQL and Non-SQL databases
  • Good understanding of multivariable calculus and linear algebra
  • Previous experience working with large scale structured and unstructured data
  • Ability to communicate complex quantitative analysis in a clear and actionable manner
  • Team player with excellent communication and organizational skills
  • M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics or another relevant technical field


Preferred Skills:

  • Previous commercial experience
  • Adept at translating business questions into meaningful analysis plans
  • Research background, algorithms, large data sets analysis, NLP or machine learning – a plus
  • Predictive modeling with knowledge/experience in some/all of the following: clustering, classification, multivariate regression, logistic regression, decision trees, and time series analysis
  • Working knowledge of UNIX/Linux operating system
  • Experience with Git, Jira and Confluence
  • Previous experience with Weka, Mahout, or similar tool
  • Knowledge of cloud platforms such as AWS, GCP or Azure
  • Experience in both small and large companies

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