Lead Data Scientist

Awardco•Lindon, UT

About The Position

Awardco is looking for a results-driven, hands-on leader to build and lead the Data Science function. The Data Operations group is responsible for delivering business insights and high-impact analyses to the various business units within Awardco. Within this group, the Lead Data Scientist will address strategic and operational questions facing our global business, including customer behavior, performance measurement, and product and marketing efficiency. This individual will partner with different business units to meet their analytic needs and conduct extensive analyses of Awardco’s data, generate insights, and communicate those insights to the business. The Lead Data Scientist role is data and analytically intensive. Successful candidates will offer deep analytical capabilities and will be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.

Requirements

The ability to analyze, model, and interpret data
8+ years of experience in analytics and quantitative techniques.
Critical thinking
Creativity
Written and verbal communication skills
A drive to learn and master new technologies and techniques.

Nice To Haves

Advanced experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Advanced experience analyzing data from 3rd party providers such as Google Analytics or Qualtrics.
Advanced knowledge of, and experience with, a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Advanced SQL skills
Experience visualizing/presenting data for executive-level management

Responsibilities

This position will enable data-driven business decisions by performing business and data analyses using a variety of techniques, ranging from simple data aggregation to complex statistical analysis.
Develop custom data models and algorithms to apply to data sets.
Churn and pipeline analysis
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
Evaluate risk.
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
Create presentations, visualizations, and reports and present findings to executive-level management.
Provide analysis and information supporting various campaigns, events, and initiatives, summarize key findings and trends, produce data sheets, graphics, and presentations.
This individual will also be responsible for mentoring peers in analyst positions, providing analytical support, and having expertise in statistical concepts and methods.
Forecast various data elements, such as sales and enrollments.