ZipRecruiter

Log In

1

Weekend Data Scientist Deep Learning Jobs in Washington

Tetra Tech, Inc.

Senior Data Scientist

Washington, DC · On-site

$155K - $170K/yr

Use advanced statistics, modeling, and machine learning to predict outcomes and solve complex ... Work 40 hours a week but potentially work late night shifts and weekends at times to cover ...

Bart & Associates

Lead Data Scientist

Suitland, MD · On-site

Lead Data Scientist At B&A, we foster and embrace a distinct set of values that we live by and ... Develop advanced algorithms, models, and frameworks leveraging machine learning, deep learning ...

B&A

Lead Data Scientist

Suitland, MD

Description Lead Data Scientist At B&A, we foster and embrace a distinct set of values that we live ... Develop advanced algorithms, models, and frameworks leveraging machine learning, deep learning ...

GRVTY

Data Scientist

Mclean, VA

GRVTY is seeking a Data Scientist with a TS/SCI + Poly clearance (acceptable to this customer) to ... Demonstrated professional or academic experience with deep learning frameworks such as PyTorch ...

Cymertek Corporation

Data Scientist

Reston, VA · On-site

They are seeking a talented Data Scientist to analyze, model, and transform data into actionable ... Knowledge of deep learning techniques • Expertise in natural language processing (NLP) • ...

GRVTY

Data Scientist

Mclean, VA · On-site

GRVTY is seeking a Data Scientist with a TS/SCI + Poly clearance (acceptable to this customer) to ... Demonstrated professional or academic experience with deep learning frameworks such as PyTorch ...

GRVTY

Data Scientist

Mclean, VA · On-site

GRVTY is seeking a Data Scientist with a TS/SCI + Poly clearance (acceptable to this customer) to ... Demonstrated professional or academic experience with deep learning frameworks such as PyTorch ...

SAIC

Data Scientist

Mclean, VA · On-site

$200K - $240K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... Demonstrated professional or academic experience with deep learning frameworks such as PyTorch ...

SAIC

Data Scientist

Mclean, VA · On-site

$200K - $240K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... Demonstrated professional or academic experience with deep learning frameworks such as PyTorch ...

Unissant

Senior Data Scientist

Washington, DC · On-site

$130 - $150/hr

We are seeking a Senior Data Scientist to join our team in Washington, DC, in support of the ... Conceptualize, plan, design, and develop deep learning/AI algorithms for multi-objective ...

Cymertek Corporation

Data Scientist

Chantilly, VA · On-site

They are seeking a talented Data Scientist to analyze, model, and transform data into actionable ... Knowledge of deep learning techniques • Expertise in natural language processing (NLP) • ...

Tetra Tech

Senior Data Scientist

Washington, DC · On-site

$155K - $170K/yr

Use advanced statistics, modeling, and machine learning to predict outcomes and solve complex ... Work 40 hours a week but potentially work late night shifts and weekends at times to cover ...

previous pagenext page

Showing results 21-40

All JobsData Scientist Deep Learning JobsWeekend Data Scientist Deep Learning JobsWeekend Data Scientist Deep Learning Jobs in Washington

Weekend Data Scientist Deep Learning information

What is the difference between Weekend Data Scientist Deep Learning vs Weekend Data Analyst?

AspectWeekend Data Scientist Deep LearningWeekend Data Analyst
Required CredentialsTypically requires a degree in Data Science, Computer Science, or related fields; knowledge of deep learning frameworksUsually requires a degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and basic analytics tools
Work EnvironmentOften involves working on complex machine learning models, coding in Python or R, and experimenting with neural networksFocuses on data cleaning, reporting, and visualization, often using Excel, Tableau, or Power BI
Employer & Industry UsageUsed in tech companies, research institutions, and AI-focused startupsCommon in finance, marketing, healthcare, and retail sectors

Weekend Data Scientist Deep Learning roles focus on developing advanced AI models and require programming skills, while Weekend Data Analysts handle data interpretation and reporting. Both roles are valuable but differ in technical complexity and industry application.

What are the most commonly searched types of Data Scientist Deep Learning jobs in Washington? The most popular types of Data Scientist Deep Learning jobs in Washington are:
What are popular job titles related to Weekend Data Scientist Deep Learning jobs in Washington? For Weekend Data Scientist Deep Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Weekend Data Scientist Deep Learning jobs in Washington look for? The top searched job categories for Weekend Data Scientist Deep Learning jobs in Washington are:
Weekend Data Scientist Deep Learning jobs near you

Senior Data Scientist / Machine Learning Engineer

Waypoint Human Capital

Mclean, VA • On-site

Full-time

Posted 12 days ago

Job description

Position Title: Senior Data Scientist / Machine Learning Engineer
Position Type: Full-Time, On-Site
Position Location: Tysons, VA
Clearance Required: Active TS/SCI with CI Polygraph or Full Scope Polygraph
Waypoint's client is seeking a dynamic Senior Data Scientist / Machine Learning Engineer with an active TS/SCI CI Poly or higher to join their team. The Senior Data Scientist / Machine Learning Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide federal customers with the information they need to make proper decisions and enable their digital transformation.
This position works directly with data scientists, software engineers, and subject matter experts to research, design, and deploy machine learning algorithms that support federal customers in digital transformation and data-driven decision making. They will contribute to new analytics capabilities and assist customers in building their own applications. This position requires a bachelor's degree in Computer Science, Electrical Engineering, Statistics, or a related field, 5 to 10 years of relevant experience, and strong Python and applied ML skills. An active TS/SCI with CI Polygraph or Full Scope Polygraph is required.
Responsibilities
The responsibilities include, but are not limited to:
  • Research, design, implement, and deploy Machine Learning algorithms for enterprise applications.
  • Assist and enable federal customers to build their own applications.
  • Contribute to the design and implementation of new features.

Required
  • Active Top Secret clearance with CI Polygraph or Full Scope Polygraph.
  • Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields required.
  • MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields preferred.
  • Minimum 5–10 years relevant work experience preferred.
  • Excellent programming skills in Python.
  • Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
  • Strong mathematical background (linear algebra, calculus, probability, and statistics).
  • Experience with scalable Machine Learning (MapReduce, streaming).
  • Ability to drive a project and work both independently and in a team.
  • Smart, motivated, can-do attitude, and seeks to make a difference.
  • Excellent verbal and written communication skills.
  • Passion for developing team-oriented solutions to complex engineering problems.
  • Thrive in an autonomous, empowering, and exciting environment.
  • Ability to collaborate across multiple functional teams to improve scalability.
  • Ability to convey highly technical concepts and information in written form to both technical and non-technical audiences.
  • Ability to work on multiple concurrent projects.
  • Strong self-motivation and the ability to work with minimal supervision.
  • Team-oriented, energetic, results- and delivery-focused, with a strong commitment to quality and meeting deadlines.
  • Ability to work in an Agile environment.

Desired
  • Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
  • Proficient in leveraging modern LLM tools to accelerate development workflows and enhance code quality.
  • Experience with deep learning.
  • Experience with natural language processing (NLP).
  • Experience with computer vision.
  • Experience with reinforcement learning.