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Job Location: Alexandria, VA
Job Detail:
TITLE: Data Scientist
LOCATION: Alexandria, Virginia (remote opportunity available)
FLSA: Exempt
DIVISION: Technology Division
DEPARTMENT: Operations
TRAVEL REQUIREMENT:
Less than 10% to fulfill job requirements.
HOURS and SCHEDULE:
Generally, Monday – Friday, 9:00am to 5:30pm (minimum 37.5 hours within five (5) days per week); unless otherwise required or approved by management.
REPORTS TO:
This position reports to the Data Science Manager.
SUPERVISION EXERCISED:
Mentorship of junior staff.
RESPONSIBILITY FOR PUBLIC CONTACT:
Daily contact requiring courtesy, discretion, and sound judgment.
LICENSING AND CERTIFICATION:
None
GENERAL DESCRIPTION:
The Data Scientist (DS) is responsible for building and maintaining statistical and machine learning models across the organization. The DS utilizes a range of technical tools to automate data processes, support complex analysis, and develops new methods of leveraging large-scale data.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Build and engineer statistical models based on NCMEC data.
- Automate collection and aggregation of NCMEC data into new formats and technologies to enable improved analysis.
- Build and maintain new data pipelines to support data science initiatives.
- Build new tools, such as machine learning models, for use by users or other applications to evolve and enhance the usefulness of NCMEC data.
- Partner with software engineering and dev-ops teams to implement solutions created by the Data Science team.
- Own the entire lifecycle of machine learning technologies to ensure continuous high-quality performance of classifiers and models.
EDUCATION AND EXPERIENCE:
- Master’s in data science, mathematics, Statics, or another relevant field and 3 – 5 years of relevant work experience in Data Science.
- Or 5 – 8 years of relevant work experience in Data Science.
- Or other equivalent education and experience in data science fields.
KNOWLEDGE, SKILLS AND ABILITIES:
- Strong communicator of requirements and solutions with stakeholders.
- Excellent organizational, interpersonal, communication, problem solving and analytical skills.
- Experience with industry standard data science toolkits.
- Software engineering ability in languages such as Python, Java, R, SQL, etc.
- Experience building and using machine learning / artificial intelligence models.
- Ability to perform exploratory statistical analysis on various data sets.
- Experience developing and implementing data structures/architectures using multiple data sets (structured/unstructured).
- Ability to learn new technologies and frameworks while keeping up to date with technology developments relevant to NCMEC.
- Ability to handle and maintain the integrity and confidentiality of highly sensitive material and information.
- Knowledge of machine learning technologies such as Pandas, Tensor Flow, Spacy etc.
- Ability to manage and mentor team staff.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
The National Center for Missing and Exploited Children is an EO employer – M/F/Veteran/Disability/Sexual Orientation/Gender Identity.
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