Data Scientist

Company Overview:

Ringmaster is a leading provider of healthcare solutions, specializing in Pharmacy Benefit Management (PBM) services. We have a dedicated focus on broker distribution channels, and we are committed to delivering innovative PBM solutions through our valued broker partners.

Job Description 

We are seeking a talented Data Scientist to join our team. The ideal candidate is an experienced professional who will use data to help Ringmaster make the best data-driven decisions and gain competitive advantage through the development and implementation of best in breed products. This role will be part of a larger cross-functional team and will work to implement solutions that may leverage document intelligence solutions, recommendation systems, forecasting, or reinforcement learning. 

Qualifications 

• Advanced analytical knowledge of data 

• Conducting big data analysis 

• Data conditioning 

• Programming advanced computing 

• Developing algorithms 

• Developing software and data models 

• Executing predictive analytics 

Key Responsibilities 

• Coordinates with Data Engineers to build data environments providing data required by Data Analysts, Product Owners, Software Developers and additional teammates. 

• • Enhancing data collection procedures to include all relevant information for developing analytic systems 

• • • Data mining or extracting usable data from valuable data sources 

• • Carrying out the preprocessing of structured and unstructured data 

• • • Processing, cleansing, and validating the integrity of data to be used for analysis. 

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. 

• • Developing prediction systems and machine learning algorithms 

• • Using machine learning tools to select features, create and optimize classifiers 

• Formulates and leads guided, multifaceted analytic studies against large volumes of data. 

• • Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method. 

• • Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data. 

• • Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges. 

• Develops methodology and processes for prioritization and scheduling of projects. 

• Analyzes problems and determines root causes. 

• Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. 

• Works closely with all business units and engineering teams to develop strategy for long term data platform architecture. 

Skills & Basic Qualifications 

• 5-7 years’ experience as a working Data Scientist 

• Master’s degree in operations research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields 

• Strong Software Engineering Background 

• Deep Linux/Unix administration skills/experience. 

• Hands-on experience with OCR, NLP, data ETL technologies and automated data pipelines. 

• Programming Skills 

• • Knowledge of statistical programming languages like R, Python 

• • Familiarity with Scala, Java, or C++ is an added advantage. 

• Proficiency in Database Query Languages  

• • Examples include SQL, Hive, Pig 

• Experience with NoSQL databases 

• • MongoDB, Cassandra, HBase  

• Statistics 

• • Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.  

• Machine Learning 

• • Solid knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.  

• Strong Math Skills (Multivariable Calculus and Linear Algebra) 

• • Understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.  

• Data Wrangling 

• • Proficiency in handling imperfections in data is an important aspect of a data scientist job description.  

• Data Visualization 

• • Experience utilizing visualization tools to take advantage of the growing volume of available information 

• • Familiarity with tools like PowerBi, matplotlib, ggplot, d3.js., Tableau that help to visually encode data 

• Problem-solving aptitude 

• Analytical mind and great business sense 

• Excellent communication and interpersonal skills…especially as a team member. 

• Ability to work in a fast-paced environment and handle multiple projects simultaneously 

• Python  

• SQL 

Preferred Qualifications 

• Insurance or healthcare industry experience. 

• Experience with document intelligence technologies. 

• Certification in Agile programming or Scrum Master speaking to the right candidate’s knowledge of software development processes, methodologies, and project management  

• Understanding of the best security practices and automating security testing and updating in the CI/CD pipelines 

• Health care data,  Medical Claims, Pharmacy claims, or other similar experience