173482 - Data Analyst Level 4 - FL-OM
Industry
IT
Region
FL-Florida
City
Orlando
State
FL
Rate
Up to $62.00 DOE
Duration
12 Months
Description
Chipton-Ross is seeking a Data Analyst Level 4 for an opening in Orlando, FL.

RESPONSIBILITIES:
Designs and develops methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources including "big data" sources. Develops and uses advanced software programs, algorithms, querying and automated processes to cleanse, integrate and evaluate datasets, and models complex business problems. Is familiar with disciplines such as Natural Language Processing, Machine Learning, Predictive modeling, Statistical Analysis and Hypothesis testing. Works with cross-discipline teams to ensure connectivity between various databases and systems. Identifies meaningful insights and interprets and communicates findings and recommendations. May develop information tools, algorithms, dashboards, and queries to monitor and improve business performance. Maintains awareness of emerging analytics and big-data technologies.

REQUIRED EXPERIENCE:
Requires knowledge of various technical domains to include various software programming languages and deep mathematical calculation and algorithms to provide intricate analytic solutions to meet end user needs. Has various tool knowledge with both software development and engineering research to create models of relevancy. Experience designing efficient algorithms with programming languages and tools for data manipulation and statistical analysis. Experience designing efficient data mining and text mining frameworks with related tools. Specific Job Description Data Scientist will support the Logistics and Sustainment Engineering (LSE) directorate. The primary objective will be to develop a vision and strategy to transform and modernize the analytical data processes being used by the organization today. This will require studying the way in which programs collect and analyze data and determining how more advanced analytical tools can be incorporated without disrupting the current operations. A blend of experience in science and engineering skills, and a proven track record of solving critical business problems through data science and strong analytical/quantitative and engineering skills is desired.
8 years of professional experience; or 5 years of professional experience with a related Master's degree. Considered an emerging authority. 5 years of experience in Data Science, Experience developing and/or implementing enterprise data solutions.

PREFERRED EXPERIENCE:
Ability to work in cross functional teaming environment. Ability to communicate data findings to leadership to influence how an organization approaches and meets business challenges. Experience collaborating with database engineers and other scientists to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues. Project management experience. Proven ability to deliver results and meet deadlines.

EDUCATION:
Bachelor's degree from an accredited college in a related discipline with 8 years of professional experience; or 5 years of professional experience with a related Master's degree

WORK HOURS:
9/80, 1st Shift
Full-Time


Contact
Robert Davis at rdavis@chiptonross.com
CHIPTON-ROSS, INC.
420 Culver Boulevard
Playa Del Rey, CA 90293

Phone: (310) 414-7800 x305 or (800) 927-9318 x305

Candidates responding to this posting must currently possess the eligibility to work in the United States. No third parties please.

Chipton-Ross provides equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, national origin, sex (including pregnancy), age, disability, sexual orientation, gender identity and/or expression, protected veteran status, genetic information, or any other characteristic protected by Federal, State or local law. This policy governs all areas of employment at Chipton-Ross, including recruiting, hiring, training, assignment, promotions, compensation, benefits, discipline, and terminations.