Jacobs Data Scientist - Senior in Charlottesville, Virginia
Critical Mission Solutions
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It's our promise to challenge the status quo as we redefine how to solve the world's greatest challenges, and transform big ideas into intelligent solutions for a more connected, sustainable world.
Design your career with a company that inspires and empowers you to deliver your best work so you can evolve, grow and succeed –today and into tomorrow.
Responsibilities & Duties:
Data Scientist will act as the Team Lead
Apply statistics, machine learning and analytic approaches to answer key intelligence questions, producing results and re-usable products that provide real value to Intelligence Analysts
Develop and refine data sets to achieve stakeholder goals and objectives as requested.
Work with intelligence analysts to interpret analytic results and refine analysis as needed
Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build, and optimize classifiers, create automated anomaly detection systems, and automate steps of the intelligence process
Evaluate statistical models to determine the validity of analyses, implement evaluated models into production by collaborating with software developers, periodically re-evaluate and refine machine learning models being used in production
Coordinate with Data Analysts to refine and implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy to ensure the model deployment and maintenance is taken into consideration for the lifecycle of the model
Communicate results and ideas to key decision makers, analysts, and other stakeholders
Advise on the interpretation and use of data intelligence products, quality assessments and applications
Collaborate with Intel analysts to understand needs and devise possible solutions.
Conduct technical reviews and develop appropriate materials to training system users and Instructors in preparation of operational deployments
Document all processes, models, and activities to ensure that the application created will receive an authority to operate (ATO)
Assess training requirements based on current system and functional baseline. Develop training artifacts in support of operations including Standard Operating Procedures (SOPs), and Tactics, Techniques and Procedures (TTPs)
Here’s What You’ll Need:
Capability to recognize when Data Science can add value to an intelligence problem, and when it cannot
Ability to translate an intelligence problem into a Data Science problem, and to work with the Intelligence Analysts and Analyst Control Element (ACE) Chief to refine understanding of the problem
Comfortable working in a dynamic team environment with several ongoing concurrent projects; able to multitask, prioritize, and manage time effectively
Excellent written and verbal communication skills; good Interpersonal skills and communication with all levels of leadership
A drive to learn and master new technologies and techniques; desire to maintain currency on latest industry trends including completing additional training; able to articulate trends and potential clearly and confidently
Creative problem solver who thrives when presented with a challenge; able to analyze problems and strategize for better solutions; strong problem-solving skills with an emphasis on production for re-use
Use Languages, Tools, and Techniques Demonstrated proficiency with R or Python, and SQL to manipulate data and draw insights from large and small data sets
Demonstrate proficiency in a variety of supervised and unsupervised machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Demonstrate proficiency in advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications
Demonstrate proficiency with common data science libraries. Demonstrated proficiency visualizing/presenting data for stakeholders
Demonstrate proficiency with MS Office tools including Excel, PowerPoint, and Word
Demonstrate proficiency with Amazon Web Services (AWS), products related to analytics, compute, database, developer tools, and machine learning
Perform as a skilled data wrangler. Experience with database solutions including SQL, NoSQL (e.g. MongoDB) and graph (e.g. Neo4j)
Demonstrate experience with data visualization tools, such as D3.js, ggplot, Bokeh, etc.
Master’s Degree in Data Science, Statistics, Applied Math, or related field PLUS at least 6 years of experience as member of data science team with at least a portion of the experience within the last 2 years leading data science projects
OR Bachelor’s degree related to the labor category and an additional 8 years of related senior experience, for a total of 12 years, as a substitute to the master’s degree
Highly Desired Experience:
- Five years intelligence analysis experience is desired (MOS 35/350 series or DoD/IC equivalent)
- Most work will be done at a desk or computer.
- General Office environment. The work environment is fast-paced and sometimes involves extreme deadline pressures. The nature of the work requires a high degree of teamwork and cooperation with other members of the staff as well as individuals across the Company and Customers.
Equipment & Machines:
- General office equipment including PC/laptop, Fax, Copiers, Shredder, Printers, Telephone, and other miscellaneous office equipment.
- Attendance is critical at all times. Must be able to work a 40-hour workweek, normally Monday through Friday. However, times and days may vary depending on business requirements. Needs to be available to work overtime during critical peaks and be available to meet last minute requests for overtime should the situation occur.
Other Essential Functions:
Must be able to communicate effectively both verbally and in writing
Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. Must put forward a professional behavior that enhances productivity and promotes teamwork and cooperation.
Must be able to interface with individuals at all levels of the organization both verbally and in writing. Must be well-organized with the ability to coordinate and prioritize multiple tasks simultaneously. Must work well under pressure to meet deadline requirements. Must be willing to travel as needed. Must take and pass a drug test and background check as well as a motor vehicle records check. Must be a US citizen.
Jacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) and supplemental language (https://www.eeoc.gov/sites/default/files/migrated_files/employers/eeoc_gina_supplement.pdf) .
At Jacobs, we’re challenging today to reinvent tomorrow by solving the world’s most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. With $13 billion in revenue and a talent force of more than 55,000, Jacobs provides a full spectrum of professional services including consulting, technical, scientific and project delivery for the government and private sector.