Data Scientist Senior

Data Scientist Senior

Location: This position will work a hybrid model (remote and office). Ideal candidates will live within 50 miles of the following PulsePoint location. 3101 Wilson Blvd, Arlington, VA 22201

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

The Data Scientist Senior will design machine learning projects to address specific business problems determined by consultation with business partners.

How you will make an impact:

• Work with data sets of varying degrees of size and complexity including both structured and unstructured data.

• Pipe and process massive data-streams in distributed computing environments such as Hadoop to facilitate analysis.

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

• Develop proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions.

• Develop sophisticated visualization of analysis output for business users.

• Publish results and address constraints/limitations with business partners.

• 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#933678

Minimum Requirements:

Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, Information Systems, or a related field. Five (5) years of experience working in data science, analytics, and/or software development.

Additional Requirements:

Five (5) years of experience working in data science, analytics, and/or software development must include:

• One (1) year of experience in the following: Python, R, SAS and programming.

• Working in a distributed computing environment; Hive, Impala or Apache Spark; Data extraction and manipulation using SQL; Connecting Tableau or Shiny reports to Hadoop back end; and- JavaScript visualization libraries including ~~~.

• Employer will accept a Master's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, Information Systems or a related field plus 3 years of experience working in data science, analytics, and/or software development.

• Must have skills listed above.