Principal Data Scientist

Principal Data Scientist

at Rackner


Job Title: Principal Data Scientist

Location: Remote

Clearance: Public Trust Preferred

Who We Are:

Rackner is a software consultancy that builds cloud-native solutions for startups, enterprises, and the public sector. We are an energetic, growing consultancy with a passion for solving big problems for both startups and enterprises. Each of us enable digital transformation for large organizations through the newest in distributed technologies as we are laser focused on end-to-end application development, DevSecOps, AI/ML and systems architecture and our methodology focuses on cloud-first and cost-effective innovation. Our customers hail from a diverse, ever-growing list of industries.


The mission of the Center for Devices and Radiological Health (CDRH) is to protect and promote public health. CDRH assures patients and providers have timely and continued access to safe, effective, and high-quality medical devices and safe radiation-emitting products. Rackner will be working with CDRH to help develop a comprehensive multi-faceted system to streamline FDAs capability to use state-of-the-art approaches to generate and evaluate clinical evidence for regulatory decision-making, including advanced artificial intelligence and machine learning (AI/ML).

Position Overview:

Rackner is seeking a Principal Data Scientist to focus on analyzing and synthesizing data into results that are easily understandable. Lead the creation of data-driven solutions to solve business challenges and improve business processes. The Data Scientist will design data modeling, algorithms, processes, and predictive models while working closely with stakeholders to establish an understanding of their goals and initiatives.


Technical Expertise:

Expertise in programming languages such as Python, R, SQL and Scala

Proficiency in data manipulation, data visualization, machine learning algorithms, and statistical modeling

Experience with big data technologies such as Hadoop, Spark and Kafka and familiarity with cloud services (AWS, Azure)

Education Background / Professional Experience:

Masters degree or PhD in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field

Minimum of 7 years of experience in data science or analytics, with a proven track record in leading and delivering data-driven projects and solutions

Demonstrated experience in managing large datasets and conducting complex quantitative analyses

Analytical experience demonstrating the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy

Benefits/Additional Info:

Rackner embraces and promotes employee development and training and covers the cost of certifications relevant to a position and the technologies/services provided. Fitness/Gym membership eligibility, weekly pay schedule and employee swag, snacks & events are offered as well!

401K with 100% matching up to 6%

Highly competitive PTO

Great health insurance with large network of providers


Life Insurance, and short- & long-term disability

Industry-Leading Weekly Pay Schedule

Home office & equipment plan