Data Scientist

Location: This position will work a hybrid model (remote and office). Ideal candidates will live within 50 miles of the following PulsePoint location. 300 Seven Fields Blvd, Suite 100, Seven Fields, PA 16046

Hours: Monday to Friday, 8:00 am to 5:00 pm

The Data Scientist will develop and implement predictive model algorithms and techniques with moderate complexity.

How you will make an impact:

• Execute algorithms to address specific business problems under the direction of the team lead or manager.

• Work with data sets of moderate size and complexity.

• Develop visualization of analysis output for business users and publish results under the direction of team lead or manager.

• Predict model and machine learning concepts in distributed computing environment.

• Implement batch and real-time model scoring to drive actions.

• Provide high-level controllership/evaluation of all output produced to ensure established targets are met.

• Determine the continuous improvement opportunities of current predictive modeling algorithms.

• Proactively collaborate with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables.

REF#739308

Minimum Requirements:

Bachelor’s degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or a related field. Three (3) years of experience working in related occupation(s).

Additional Requirements:

Three (3) years of experience must include:

• Three (3) years of experience with Python, R and SAS.

• Three (3) years of working experience with Hadoop distributed computing environment.

• Three (3) years of experience using Hive, Impala, or Apache Spark.

• Three (3) years of data extraction and manipulation experience using SQL.

• Three (3) years of experience connecting Tableau or Shiny reports to Hadoop back end.

• Three (3) years of experience with JavaScript visualization libraries including D3.js.

ALTERNATE EDUCATION/EXPERIENCE REQUIREMENTS: Employer will accept a Master’s degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or a related field plus one (1) year of experience. Must have one (1) year of experience in each of the skills listed above.