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SalarySpalding Consulting, Inc. is seeking a Data Scientist in Lexington Park, MD. Spalding Consulting, Inc. is a professional services company delivering cutting-edge solutions to the Department of Defense since 2001. Our expert-level solutions include software development, information technology, program management, financial management and business intelligence services. Spalding Consulting offers competitive compensation, career development, flexible work schedules and excellent benefits.
Position Type: Full-Time
Work Location: This is a remote position (see on-site requirements below).
**On-Site Requirements: On-boarding will require 1-2 visits to Patuxent River, MD for candidates that are local to the area. Candidates out of state will be onboarded virtually. Training will be virtual and telework maximized/permitted to the greatest extent possible, however for local candidates, training/tasking may require on-site work a few hours per week. Future on-site/telework requirements/schedules may change as additional client direction is received.
Come join our team as we support Naval Aviation in their implementation of Product Lifecycle Maintenance (AvPLM) If you seek a dynamic work environment that challenges you to learn and grow in data analysis, visualization, AI and ML, we have the opportunity for you!
Essential Functions:
- Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data- oriented programming languages (Python, R) and visualization software such as Tableau, Teamcenter Reporting and Analysis (TcRA), Cognos and Informatica.
- Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings.
- Analyzes problems and determines root causes.
- Other duties as assigned or required.
Required:
- Experience with one or more programming languages (C, C++, Java, JavaScript, R, Python)
- Experience querying databases
- Experience with developing Extract, Transform, and Load (ETL) Processes
- Experience with analyzing data for trends and patterns
- Experience with problem-solving in a product development environment
- Experience with any of the following tools:
- AWS Big Data and native tools
- Matlab, Simulink
- Microservices
- IBM DB2, Oracle, Netezza
- Unix, Red Hat
- AWS Solutions Architect
- DevOps Continuous Delivery Architecture, DevOps Foundations
- Model-Based Systems Engineering
- Openshift Container Platform 3.7
- Three (3) or more years of experience performing work related to the Job Duties/Responsibilities.
- Experience with devising and utilizing algorithms and models to mine big-data stores.
- Experience performing data and error analysis to improve models.
- Proficiency with data mining, mathematics, and statistical analysis.
- Experience with visualizing/presenting data using software such as (Tableau, TcRA, QlikSense, PowerBI, Amazon Quick Sight).
- Demonstrated knowledge of machine learning algorithms and techniques such as k-NN, Naive Bayes, SVM, Decision Forests, and others.
Active Secret clearance required. Requirements to obtain a clearance include US Citizenship, security investigation, etc.
Education:
BS or BA degree in Engineering, Computer Science, Information Systems, Business, Mathematics, Management or Relevant Technical Discipline. Preferred. Additional years of experience may replace degree requirements.
Spalding Consulting, Inc. is committed to providing equal employment opportunities to all applicants and employees. We will not discriminate against any employee or applicant on the basis of race, color, ethnic origin, national origin, creed, religion, political belief, sex (including pregnancy), sexual orientation, gender identity, marital status, age, military status, physical or mental disability, or any other legally protected basis, in accordance with applicable federal, state or local laws. Spalding Consulting, Inc. is an Affirmative Action/Equal Opportunity Employer and encourages minorities, women, disabled, and veterans to apply for job openings within our company.
