Topic Modeling Data Jobs

1 job found

7d ago

Data Scientist (TS/SCI req'd)

WWC Global LLC Tampa, FL

Tampa, FL

7d ago

Full time Analytics Big Data Business Analytics

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Job Description

The Data Scientist role at WWC Global LLC, based onsite in Tampa, FL, supports USSOCOM missions by designing and maintaining data pipelines and machine learning initiatives on cloud-native platforms to extract actionable insights from structured and unstructured data.

Responsibilities

Gathers, cleanses, and prepares data, applying AI and ML methods plus visualization tools to enable problem solving across the SOF Enterprise.
Leads research and analytics activities leveraging diverse data types, both structured and unstructured, using programming to sanitize, transform, and organize the data.
Runs experiments on data, communicates results, and suggests previously undiscovered solutions to command data challenges.
Applies scientific methods, algorithms, processes, and visualization techniques to extract actionable insights from data and integrates data into existing analytics tools.
Creates methods to ingest and unify data from multiple operational platforms, enabling near real-time analysis to inform command decisions.
Develops predictive and prescriptive models, NLP, RPA, text mining, clustering, forecasting, and other advanced statistical techniques.
Designs AI/ML algorithms and models for NLP, computer vision, large language models, and decision-making that learn from data to identify patterns and improve over time.
Conducts AI/ML modeling and simulations to analyze data, recognize patterns, and make predictions, using models to simulate real-world scenarios without real-world risks.
Designs and automates data manipulation and analysis workflows, manages and integrates data across diverse datasets, and analyzes large-scale structured and unstructured data.
Utilizes frameworks such as Spark and Hadoop for large-scale processing and performs data engineering, processing, and modeling on cloud-based platforms like Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
Collaborates with stakeholders, including business users and warfighters, to design and test analytics and AI-enabled solutions and demonstrates capabilities through robust learning campaigns.
Performs statistical modeling and creates visualizations using Tableau, Power BI, and R Shiny, conveying complex concepts to non-technical audiences through digital storytelling.
Adheres to Integrated Governance Standards by supporting the Department of War's governance approach for data, analytics, and AI, ensuring data compliance and trust in line with SOCOM security and data strategies.
Develops and delivers unique analytic solutions when existing tools are insufficient, including executable scripts, enterprise dashboards, visualizations, web applications, or full-stack applications incorporating AI, ML, RPA, NLP, and topic modeling.

Requirements

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Applied Mathematics, or a closely related quantitative discipline.
Current, active TS/SCI security clearance.
At least three (3) years of hands-on experience in data science, machine learning, or a closely related analytical field.
Proven experience designing, implementing, and maintaining data pipelines, and interpreting and analyzing complex structured and unstructured data sets.
Proficiency in distributed SQL, relational and nonrelational data queries, and programming languages such as Python and R; experience with machine learning techniques, statistical modeling, and data visualization tools.
Excellent communication, influencing abilities, and client focus.
Professional proficiency in English.
Demonstrated proficiency using all Microsoft Office applications.
Ability to access federal facilities in compliance with Real ID requirements.
Authorized to work in the United States on a full-time basis; no visa sponsorship provided for this position.

Technologies

Spark
Hadoop
Databricks
IBM Cloud Pak
Cloudera
Snowflake
Python
R
Tableau
Microsoft Power BI
R Shiny
SQL
Kafka
Docker
Kubernetes
Large Language Models (LLMs)
NLP
RPA
Topic Modeling

Benefits

Health, Dental, and Vision Insurance
Flexible Spending Accounts
Life and Disability Insurance
401(k)
Paid Time Off
Paid Holidays
Employee Assistance Program
Pet Insurance

Work Environment

Moderate noise in office settings with occasional loud sounds in field areas
Ability to sit at a computer terminal for extended periods
Willingness to work in confined areas as needed

Physical Demands

Situational requirement to sit, stand, speak, and hear during duties
Frequent use of hands and fingers to operate a computer
Ability to drive in varied environments CONUS and OCONUS

Travel

0-10 percent, minimal travel

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