TITLE: Data Scientist

LOCATION: Remote/Alexandria VA

DATE PREPARED:January2025

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, machine learning (ML), and artificial intelligence (AI)models and pipelines 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:

· Own the entire lifecycle of ML/AItechnologies to ensure continuous high-quality performance of classifiers and models.

· 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.

· Apply large language models to operational use-cases, including prompt engineering, model evaluation, workflow design, and model fine-tuning

· Partner with software engineering and dev-ops teams to implement solutions created by the Data Science team.

· Build and engineer statistical models based on NCMEC data.

EDUCATION AND EXPERIENCE:

· Master's in data science, mathematics, or another relevant field and 3 - 4 years of relevant work experience in Data Science.

· Or 4 - 8 years of relevant work experience in Data Science.

· Or other equivalent education and experience in data science fields.

KNOWLEDGE, SKILLSAND 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,etc.

· Experience training, evaluating ,and deploying machine learning models like convolutional neural networks (CNNs).

· Proficiency in natural language processing (NLP) tasks such as text preprocessing, text classification, sentiment analysis, named entity recognition (NER), and using NLP libraries like NLTK and spaCy.

· Experience developing, fine-tuning, and deploying large language models (LLMs) with a focus on prompt engineering, data preprocessing, and model evaluation.

· 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

PREFERED SKILLS AND EXPERIENCE:

· Experience with AWS, Azure, and/or Palantir Foundry

· Experience developing and deploying computer vision models using deep learning frameworks (e.g. image processing, object detection, and optical character recognition (OCR) techniques).

Content Exposure Warning:

· As part of regular responsibilities, the data scientist may be exposed to graphic content that depicts/describes child sexual abuse. The data scientist will be enrolled in the NCMEC SafeGuard program to minimize effects of content exposure.