Data Analyst

Jacobs - Hampton, VA3.9

Full-time
Save
Jacobs is seeking a Data Analyst to join our Data Analytics Innovation Lab team and help us answer some of the toughest questions facing enterprises with strategic and capital-intensive assets. In this role you will deliver analysis services in collaboration with other Data Scientists under the direction of the Data Analytics Innovation Lab Director.
The ideal candidate is a highly motivated and qualified analytical problem solver, with specialized technical skills to develop and apply simulation-based predictive analyses to investigate intrinsic system complexity in time dependent processes including aging, system-wide interactions and the dynamic effects of operations and maintenance preferably in industrial or related environments.
This position requires a good knowledge of applied statistics and expert proficiency in developing new methods to solve problems, modeling and simulation of asset operations, data visualization and analysis, cost and risk evaluation, developing data requirements for mathematical models, software scripting, and optimization techniques. The candidate must also be able to demonstrate experience in statistical analysis, data management, and statistical model design. Good working knowledge of software scripting, programming languages, simulation-based modeling and analysis expertise is preferred.
This is an exceptional opportunity to be a part of the team responsible for delivering world class solutions to enterprises across the world.
Responsibilities for Data Analyst
Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions.
Mine and analyze data from databases to drive optimization and improvement of people, processes and data generating assets.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Develop company A/B testing framework and test model quality.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
This position may require travel of up to 2 weeks per quarter

Qualifications

BS Degree in statistics, mathematics, computer science, or another quantitative field.
1-3 years of experience manipulating data sets and building statistical models strongly preferred.
Must be a US Citizen and have the ability to be granted a Secret Security Clearance
The ideal candidate will have other essential non-technical skills to include Intellectual curiosity, business acumen, communication skills, teamwork, ability to perform in a dynamic changing environment.
Strong problem-solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
Help develop software to enhance data management tools for use in predictive analysis.

The preferred candidate should be familiar with the following software/tools:
Experience in reliability engineering such as reliability analysis, development/execution of Reliability Centered Maintenance (RCM) program, Condition Based Maintenance (CBM)
Experience in developing, testing and analyzing simulation models
Experience in Agile development environment
Familiarity with data integration and ETL concepts
Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, etc.
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, Tableau, etc.
ESSENTIAL FUNCTIONS

Unusual or Special Physical Requirements of Position (specify and provide % of time required)
Lifting: Up to 35 lbs., 10%
Climbing: 10%
Crawling:10%
Special clothing/equipment (wearing): Appropriate PPE and training will be provided for all conditions, 10%

Unusual physical requirements:
Must be able to walk, stand, bend, twist, and sit for extended periods (90%).
High noise level: May be exposed to areas of high noise levels (10%)
Other: NA

Description of Work Environment (specify and provide % of time required)
Inside? Outside? Combination? Where?: Inside office environment, 95%
Extreme (hot/cold) temperatures involved: NA
Hazardous conditions - What are they?: May be exposed to potentially hazardous equipment operation. (10%)
Travel/transportation requirements: May travel up to 2 weeks per quarter (<20%)

Other:
Equipment and Machines Involved in Work Tasks (specify and provide % of time required)
Office equipment/machines electrically/battery operated - which?: Standard office equipment (PC, telephone, fax, copier, etc.), 100%
Vehicles, forklifts, etc. operated which?: NA
Tools used in trade - which ones?: Safety and Personal Protective Equipment (10%)
Other: NA

Criticality of Attendance (specify and provide % of time required)
Overtime, regular days, off days: Monday through Friday. Overtime work outside normal scheduled required <10%
Shift, 1st, 2nd, 3rd: Day shift hours
Necessity for regular attendance: Mandatory, 100%
Urgency for punctuality: Mandatory, 100%

Other Essential Functions (List other essential functions here.)
U.S. Citizenship is required. A valid driver’s license is required. Must be able to work in a team atmosphere. Must put forward a professional behavior that enhances productivity and promotes teamwork and cooperation. Grooming and dress must be appropriate for the position and must not impose a safety/risk hazard to the employee or others. The work environment requires the ability to cooperate and work with individuals at all levels of the company and the client. Must be able to obtain and maintain a security clearance as required.
Jacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. Jacobs is a drug-free workplace.