SAS Data Scientist

Blackbaud was founded on the idea that technology can be a medium for social change. Our mission is to provide software, services, expertise, and data intelligence that empowers and connects people to advance the social good movement. We serve the entire social good community, which includes nonprofits, foundation, corporations, education institutions, and the individual change agents who support them. We work with over 35,000 organizations, helping them realize their goals, fund their missions, manage their operations, and develop long-lasting supporter relationships. Our customers are passionate about making the world a better place, and we’re inspired by the opportunity to help them.

We seek a very seasoned Data Scientist with leadership experience to join our data science team. As a senior member of the data science team, you will be responsible for the ideation, research, predictive modeling, and machine learning algorithms for data products to delight and inform our social good community.
Requirements
MS or PhD in statistics, mathematics, computer science, quantitative analysis, economics or related field is required.
7+ years of relevant experience in data science, data analytics, or applied statistics,
5+ years of experience with machine learning, data mining, statistical modeling tools and underlying algorithms
Strong SAS programming skills – minimum 5 years
Strong Python programming skills for pulling data, coding algorithms, quantifying, and visualizing results
Comfortable using varied platforms and applications such as:
SQL for querying data stored in relational databases
Linux operating system
Distributed systems and cloud computing
Experience with AWS and Spark
Superb communication skills explaining complex ideas to sales, marketing, product management, engineering, and stakeholders
Demonstrated experience in constructing, validating, and maintaining predictive and prescriptive models
Demonstrated experience in constructing analytic solutions to business problems
Experience working with extremely large data to develop innovative analytic approaches leveraging the available internal and external data sources
Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed
Experience and eagerness to mine data for product development, client support, and marketing support
Strong statistical background and an understanding of how to apply statistical methods to machine learning
Algorithm development such as regression, decision trees, neural networks, reinforcement learning
Preferred Qualifications
Experience conducting data analysis in healthcare settings; including large scale EHR and claims data sets
Track record of innovation in the field of healthcare analytics and/or record of peer-reviewed publications and relevant technical conference participation;
Medical terminology with understanding of clinical terms, language, coding and basic healthcare clinical terminology.
Most of all, our ideal candidate is smart, creative, talented, and can work effectively with the other members of the team. We are looking for candidates who are ambitious, self-assured, possess strong can-do attitude, and want to be a part of a world-class team