Top 11 Computational linguistics Jobs in Remote

Data Scientist
SOURCEFLY LLC —Remote
- Full-time
- Hybrid work
- 7 years
- Computer Science
- AWS
On-Call AI Solutions Specialist - REMOTE
ICF —Fairfax, VA
- $67,355 - $114,503 a year
- Part-time
- Remote
- Computer science
- Computer Science
- Mid-level
NLP & Scientific Reasoning Post-Doc
NovaGen Research Fund —Tysons Corner, VA
- $80,000 - $92,000 a year
- Remote
- Computer Science
- SQL
- AWS
- Paid holidays
- Health insurance
Quick Apply
AI Engineer
Anika Systems —Remote
- Full-time
- Azure
- Computer Science
- Mid-level
Quick Apply
AI Researcher / ML Engineer (ASR & Speech Specialist)
LILT —Boston, MA
- Full-time
- Remote
- Computer Science
- 3 years
- Master's degree
Vice President, Data Science
Five9 —San Ramon, CA
- $233,000 - $512,000 a year
- Remote
- Computer Science
- 11+ years
- Master's degree
Quick Apply
NLP Engineer
Optum —San Diego, CA
- $72,800 - $130,000 a year
- Full-time
- Remote
- Computer Science
- Pass drug screening
- 3 years
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Data Scientist

SOURCEFLY LLC
Remote

Apply Now

Job Details

Full-time

Qualifications

AI models
Version control
Data visualization software proficiency
Big data projects
Text mining tools
Automation
RESTful API
Git
Application deployment
Public Cloud
Machine intelligence
NER
Supervised learning
Macros
VBA
Macro/VBA editing
Unsupervised learning
Query management
Data visualization projects
Shell Scripting
Data extraction
Data analysis software
Providing code feedback
Linguistics

Full Job Description

Job Information

Job Type Full time
Industry Government/Military
Security Clearance Public Trust
Remote Job

About Us

At SourceFly, we pair mission-driven innovation with a people-first culture.

Headquartered in Columbia, MD, we provide cloud engineering, data and application services, cybersecurity, automation, workforce development, and strategic communications support to agencies and enterprises nationwide. Our team is at the heart of our success — we prioritize trust, collaboration, and career growth by ensuring every team member is aligned with work that fits their strengths and advances their professional goals. When you join SourceFly, you become part of a supportive community dedicated to delivering exceptional results and building the next generation of mission-ready talent.

Job Description

This is a remote position.

We are seeking a Data Scientist to join our team in support of a government customer. This is hybrid position located in Ashburn, VA.

Overview

The Data Scientist will help lead the development and delivery of high-quality predictive modelling solutions.

Responsibilities:

Lead and perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).

Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies.

Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation.

Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.

Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.

Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/ project lifecycle through written as well as in-person reporting.

Qualifications

Education:

Bachelor’s Degree (required) in operations research, industrial engineering, mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience.

Required Qualifications

· 7-12 years of relevant experience

Experience in applying advanced analytics solutions to solve complex business problems
Experience with programming languages including: R, Python, JavaScript, Visual Basic
Experience with creating VBA applications and macros to structure, manage, and wrangle key datasets
Experience with core data science libraries – Pandas, NumPy, Matplotlib, Plotly, etc.
Experience with Anaconda distribution of Python for package management and deployment
Familiarity with command-line shell programming (Powershell, cmd, etc.)
Proficiency with SQL programming
Familiarity with RESTful APIs, web scraping, and processing unstructured data
Knowledge of visualization and presentation techniques including Tableau, Power BI, Jupyter Notebooks, etc.
Knowledge of cloud technologies such as AWS or Google
Proficiency using git for version control, collaboration, and code review
Familiarity with software organization tools and frameworks (Docker, virtual environments, etc.)
Experience with engineering and development collaboration tools such as Jira and Confluence.
Experience with Natural Language Processing (NLP), computational linguistics, Entity extraction, named entity recognition (NER), name matching, disambiguation,).
Experience constructing and executing queries to extract data in support of EDA and model development
Experience with unsupervised and supervised machine learning techniques and methods
Experience working with large-scale (e.g., terabyte and petabyte) unstructured and structured data sets and databases
Experience performing data mining, analysis, and training set construction

Desired Qualifications

· Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.

Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.
Experience with pattern recognition and extraction, automated classification, and categorization
Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation)
Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI)
Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop)
Master’s Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience
Active Top Secret

Clearance:

Selected applicants must be a US Citizen and able to obtain and maintain a government security clearance

Apply Now

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computational linguistics jobs in remote

Data Scientist

On-Call AI Solutions Specialist - REMOTE

NLP & Scientific Reasoning Post-Doc

AI Engineer

AI Researcher / ML Engineer (ASR & Speech Specialist)

Vice President, Data Science

NLP Engineer

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