Data Scientist/WEB

Anonymous Employer
Washington, DC, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Data Analysis ArcGIS (Software) Big Data C Sharp (Programming Language) C++ (Programming Language) Cluster Analysis Computer Programming Data Reduction Database Queries R (Programming Language)
+7 more
Statistical Hypothesis Testing Python (Programming Language) MATLAB Machine Learning Object-Oriented Software Development Simulink Tableau (Software)

Job description

We’re looking for a Data Scientist to turn complex business challenges into practical technical solutions. You’ll work with business and technology stakeholders to define requirements, analyze current processes, and design new or improved systems. You’ll own work from requirements gathering through user acceptance testing. Expect hard technical problems that aren’t well defined, and a seat at the table when solutions are designed.

What You’ll Do

Assess business problems and recommend system-level solutions Gather requirements with business and IT teams, including functionality, data inputs, outputs, and acceptance criteria Evaluate existing processes and build new or improved methods, tools, and systems Support testing, system controls, and user acceptance Work with subject matter experts on technically complex solutions Act as a trusted point of contact for clients and project teams, and help shape design decisions and approaches

Requirements

Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field 4+ years of programming experience in object-oriented and analytic languages such as Python, Java, C++, C#, R, MATLAB, or Simulink 4+ years designing, running, and delivering data analyses in at least one of these areas: Statistics: modeling, experimental design, sampling, clustering, data reduction, hypothesis testing, confidence intervals, and predictive modeling Mathematics: big data, forecasting, optimization, inventory management, and supply chain analysis Visualization: clear, decision-ready visuals for senior leaders using tools such as Tableau, ArcGIS, or R AI/ML: building and running AI/ML algorithms and managing computational complexity Strong SQL skills Proven ability to work directly with clients

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