Data Scientist - Human Performance
LinQuest Customer Site, USA, Randolph AFB, 555 E. St East, Building 581, Texas, United States
Full Time Senior-level / Expert Clearance required USD 134K - 250K * est.
KBR, Inc.
Title:
Data Scientist - Human PerformanceTHIS POSITION IS ONSITEBELONG. CONNECT. GROW. with KBR.
Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we all share one goal: to improve the world responsibly and safely.
KBR is an industry leader in Health and Human Performance, and we are seeking multiple Dietitians to support our Human Performance Optimization Contract supporting the Air Force.
Become part of the KBR team supporting Nineteenth Air Force (19AF) aircrew performance analytics and digital engineering projects. KBR is searching for a candidate that can enable our customers to gain insights and make informed decisions by analyzing U.S. Air Force pilot training and operations data.
- The ideal candidate is adept at using large data sets to find opportunities for process/workflow optimization and using models to test the effectiveness of different courses of action.
- Must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running scripts and reports.
- Able to demonstrate proven abilities to drive decisions with their data-based insights.
- They must be comfortable working with a wide range of stakeholders and functional teams.
- The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
- You will be expected to utilize big data analytical tools and follow processes that ensure high quality products are delivered.
- Candidates will have extensive technical expertise in data science, academic or industry experience, and have excellent communication skills.
- As a Data Scientist, you will be part of a technical team responsible for evaluating customer requirements pertaining to complex big data analytical challenges.
- You will meet frequently with DoD subject matter experts and analysts to discuss needs and effectively communicate solutions at both a programmatic and technical level.
- You will be responsible for developing and implementing solutions using machine learning tools, statistical data analytics, and providing input on the design and development of analytical products and reports.
- Data Scientists of all seniority levels are encouraged to apply and will be considered.
REQUIRED QUALIFICATIONS:
- This position requires a bachelor's degree in Computer Science, Data Science, Analytics, Statistics or related, technical field, and 3-5 years of experience. Advanced degrees may be substituted for years of experience on a year-for-year basis. Data Scientists of all seniority levels are encouraged to apply and will be considered.
- Previous experience must include two (2) years of hands-on experience in big data analytics or machine learning.
- Previous experience must include five (5) years of hands-on experience in human performance related fields such as Physical Therapist, Athletic Trainer, Strength and Conditioning Coach, Occupational Therapist, etc.
- Strong command of principles of: statistical analysis, statistical analysis, data mining algorithms, mathematical segmentation, machine learning, and modeling.
- Proven analytical skills and experience in handling large volume of data.
- Experience in dealing with imperfections in data and solutioning methods to standardize input.
- Experience in implementing Data Visualization solutions.
- Previous experience must include five (5) years of hands-on experience in human performance related field such as Physical Therapist, Athletic Trainer, Strength and Conditioning Coach, Occupational Therapist, etc.
Security clearance:
- Active or Current Secret Clearance preferred – no impediments to obtain.
Knowledge / Skills / Abilities:
- Well-rounded skills in data science: computer programming (e.g., Python, R), data structures (e.g., SQL, Hadoop), statistics (e.g., Bayesian modelling), data visualization (e.g., Tableau, Kibana, Grafana), modeling and simulation are required.
- Proficiency using Python or R programming language
- Experience developing applications using Big Data databases (e.g., Postgres, HBase, MongoDB, Cassandra).
- Experience with some of the following: Kubernetes, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), and graph-databases.
- Experience with virtual desktops, Bastions, data repositories, GitHub, Jupyter Notebook.
- Experience working in teams in the data science industry and communicating requirements.
- The Data Scientist must have the ability to work closely with other scientists or software engineers to develop the best technical design and approach for new analytical products.
- Ability to problem solve, debug, and troubleshoot while under pressure and time constraints is required.
- Expertise in statistical data analytics, machine learning, open source and proprietary tools and applications. Must have an excellent knowledge of advanced methods, and experience in applying those methods to solve problems.
- Ability to communicate effectively about technical topics to both experts and non-experts at both the management and technical level is required.
- Excellent interpersonal skills, oral and written communication skills, and strong personal motivation are preferred.
- Knowledge of software design patterns, and Agile Development methodologies is a plus.
- Ability to work independently and provide appropriate recommendations for optimal analysis and development.
- Excellent written and verbal communications skills are required, as the Data Scientist will be in frequent contact with the project technical lead, be taking direction from various government leads, and will frequently be interacting with end users to gather requirements and implement solutions while away from other team members.
ADDITIONAL QUALIFICATIONS
- The preferred candidate will have experience working in government/defense labs and their computing restrictions.
- Knowledge of U.S DoD military organizations, command structures, operational missions, and capability gaps desired.
- Experience working on major DoD research programs is a plus.
- Knowledge of DoD Cybersecurity policies.
KBR BENEFITS
KBR offers a wide range of benefits for their employees; we offer medical, prescription, dental, vision, AD&D, disability benefits, retirement 401k, travel benefits, PTO, holidays, flexible work schedules, parental leave, military leave, education assistance, and the list goes on and on! We also support career advancement through professional training and development. https://careers.kbr.com/us/en/kbr-benefits
Belong, Connect and Grow at KBR
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Bayesian Big Data Cassandra Computer Science Data analysis Data Analytics Data Mining Data visualization Engineering GitHub Grafana Hadoop HBase Jupyter Kibana Kubernetes Machine Learning MongoDB Open Source PostgreSQL Python R RDF Research Security Spark SQL Statistics Tableau
Perks/benefits: Career development Flex hours Flex vacation Health care Medical leave Parental leave
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