TITLE: Data Scientist 
LOCATION: USPIS – Washington, D.C.
SECURITY CLEARANCE: Sensitive 
SCHEDULE: Due to the nature of law enforcement work and operation, position may require occasional support outside of core working hours, as well as intermittent weekend support, mission dependent.

About KACE: 
When you make the decision to join KACE, you are choosing to work alongside talented professionals that have one thing in common; the passion to make a difference!
KACE employees bring their diverse talents and experiences to work on critical projects that help shape the nation’s safety, security, and quality of life. The desire to have a career that is purposeful and forward thinking is woven into every KACE employee…it’s The KACE Way.
KACE employees are; purpose driven, forward focused, open-minded, trustworthy and invested.
The KACE Way is our commitment to our employees, to our customers, and to our communities.
Join KACE and make a difference!

About the Role:
The Data Scientist shall provide ongoing support for all Data Management Data Analytics (DMDA) data science needs, including data mining, statistical analysis, building predictive models, and helping to discover information hidden in vast amounts of data, including overall data needs of the Cybercrime and Analytics Group.
The Data Scientist will be responsible for helping discover information hidden in vast amounts of data and helping to make smarter decisions and deliver high quality investigative products. The primary focus will be in applying data mining techniques, doing statistical analysis, building high quality prediction systems, and integrate with our products.

What you will do: 
Include, but are not limited to:
•    Selecting features, building and optimizing classifiers using machine learning techniques
•    Data mining using state-of-the-art methods
•    Extending company’s data with third party sources of information when needed
•    Enhancing data collection procedures to include information that is relevant for building analytic systems
•    Processing, cleansing, and verifying the integrity of data used for analysis
•    Doing ad-hoc analysis and presenting results in a clear manner
•    Creating automated anomaly detection systems and constant tracking of its performance
•    Assist in general IT support as needed

Minimum Qualifications & Skills: 
•    Bachelor’s degree from an accredited college or university or demonstrated relevant work experience as required by assigned project or initiative.
•    Excellent understanding of machine learning techniques and algorithms
•    Experience with common data science toolkits
•    Experience with data visualization tools
•    High level proficiency in Structured Query Language (SQL)
•    Good applied statistical skills, such as distributions, statistical testing, regression, etc.
•    Good scripting and programming skills
•    Solid documentation skills (Requirement, Functional, and Technical)
•    Experience working with relational databases (Oracle, SQL and Teradata preferred)
•    Experience working with flat file data
•    Understanding of relational data modeling concepts
•    Proficiency with Microsoft Office applications
•    Experience working with Metadata
•    Excellent written and verbal communication skills
•    Demonstrated ability to design and implement processes or industry best practices
•    Strong results orientation: strives to deliver great results and drive continuous improvement
•    Ability to collaborate and interact with business partners across all levels of the organization to define solutions to address key opportunities
•    Strong interpersonal skills, ability to build trust and commitment and influence others; promotes open communication and diverse perspectives
•    Demonstrates flexibility and adaptability; thrives in a changing and/or fast paced environment; ability to balance multiple priorities and projects
•    Motivated by the opportunity to learn and solve problems; takes initiative to improve processes and systems
•    Ability to work independently with minimal supervision
•    Experience with SPLUNK, Hadoop a plus
•    Analytical skills focusing on Investigative data analytics a plus

Clearance: 
Applicants selected may be subject to a government background investigation and may be required to meet the following conditions of employment.

Security Requirements/Background Investigation Requirements: 
•    Must be a U.S Citizen or Legal Permanent Resident.
•    Favorable credit check for all cleared positions 
•    Successfully passing a background investigation including drug screening.

Physical Requirements/Working Conditions:
•    Standing/Walking/Mobility:  Must have mobility to attend meetings with other managers and employees. Standing for prolonged and extended periods of time.
•    Climbing/Stooping/Kneeling:  0% - 10% of the time.
•    Lifting/Pulling/Pushing:  0% - 10% of the time.
•    Fingering/Grasping/Feeling:  Must be able to write, type and use a telephone system 100% of the time.
•    Sitting:  Sitting for prolonged and extended periods of time.

This job description reflects management’s assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. Management may revise duties as necessary without updating this job description.

For more information about the company please visit our website at www.kacecompany.com

KACE is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, disability or any other federal, state or local protected class.

KACE complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities.

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected].