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Weekend Data Scientist Deep Learning Jobs in Washington

We are seeking a Subject Matter Expert (SME)-level Lead Data Scientist to leverage cutting-edge ... Develop advanced algorithms, models, and frameworks leveraging machine learning, deep learning ...

Work or educational background in one or more of the following areas: machine learning, computational linguistics, deep learning, ratification intelligence, data science and/or data analytic ...

Data Scientist (Active TS/SCI Clearance) Top Mandatory Skills * 8+ years of experience in Data ... Experience developing and deploying Machine Learning (ML), Deep Learning (DL), Natural Language ...

... learning to predict flight outcomes, and optimizing air traffic management processes ... Required : • Have a deep background in air traffic management and airport operations including ...

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

Main responsibilities of data scientists include a strong understanding in statical methods, predictive modeling, machine learning, deep learning, data visualizations, and data management. Depending ...

Data Scientist

Mclean, VA · On-site +1

$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 ...

Data Scientist

Mclean, VA · On-site +1

$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 ...

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

Main responsibilities of data scientists include a strong understanding in statical methods, predictive modeling, machine learning, deep learning, data visualizations, and data management. Depending ...

As a Data Scientist, you will be responsible for selecting, developing, fine-tuning, evaluating ... including traditional ML, deep learning, LLMs, and multimodal models. * Make informed ...

As a Data Scientist, you will be responsible for selecting, developing, fine-tuning, evaluating ... including traditional ML, deep learning, LLMs, and multimodal models. * Make informed ...

Data Scientist McLean, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact ... Demonstrated professional or academic experience with deep learning frameworks such as PyTorch ...

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 ...

Architect and implement advanced ML techniques such as ensemble models, deep learning, natural ... D. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field ...

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 ...

Senior Data Scientist

Mclean, VA · On-site

$120K - $180K/yr

The Senior Data Scientist will lead project workstreams, guide modeling strategy, mentor junior ... Architect and implement advanced ML techniques such as ensemble models, deep learning, natural ...

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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:

Lead Data Scientist

InstantServe LLC

Suitland, MD • On-site

Full-time

Posted 15 days ago


Job description

Job Summary:
We are seeking a Subject Matter Expert (SME)-level Lead Data Scientist to leverage cutting-edge techniques to extract insights and patterns from large and complex datasets for the U.S. Census Bureau's Decennial Transformation and Application Modernization (DTAM) effort. This role provides technical and management leadership on major advanced data science assignments, developing advanced algorithms, models, and frameworks using machine learning, deep learning, natural language processing, and generative AI / large language models. The Lead Data Scientist ensures AI/ML products are safe, trustworthy, explainable, and compliant with the NIST AI Framework and Census Bureau policies. Decision-making and domain knowledge may have a critical impact on overall program implementation. May supervise others.
Responsibilities:
  • Develop advanced algorithms, models, and frameworks leveraging machine learning, deep learning, neural networks, natural language processing, and generative AI / large language models (LLMs)
  • Manage all activities to align with current advanced analytics and data science standards as defined by Decennial, the USCB, and industry best practices
  • Support the transition of advanced analytics and data science capabilities from pilot to production and maintain them in the production environment
  • Develop descriptive and predictive models for survey efforts, including time series, anomaly detection, semi-supervised, active, and reinforcement learning frameworks
  • Conduct data cleaning, filtering, transformation, and feature engineering to create machine-learning-ready datasets
  • Create, maintain, and use synthetic data to support the full lifecycle of advanced data science
  • Follow AI regulation and ethical principles in accordance with the NIST AI Framework to manage AI risk and ensure model trustworthiness
  • Ensure AI products are safe, secure, explainable, interpretable, privacy-enhanced, fair, valid, reliable, accountable, and transparent
  • Develop, document, and test prototypes and proofs-of-concept leveraging advanced data science
  • Evaluate trained models with multiple performance metrics, appropriate test sets, and learning curves
  • Develop and maintain data science documentation, including analysis plans, technical reports, user manuals, and best-practice templates

Education and Experience
  • PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field - mandatory
  • 15+ years of experience providing technical and management leadership on major data science assignments (SME level)

Required Skills
  • Expert proficiency in Python, R, SAS, and SQL and associated data science libraries and tools
  • Demonstrated experience developing and operationalizing ML, deep learning, NLP, and generative AI / LLM models
  • Strong background in predictive modeling, time series analysis, anomaly detection, and feature engineering
  • Experience creating and using synthetic data and privacy-preserving data techniques
  • Working knowledge of the NIST AI Framework and responsible/ethical AI practices

Desired Skills:
  • Experience transitioning data science capabilities from pilot to production (MLOps / LLMOps)
  • Familiarity with differential privacy, federated learning, and secure multi-party computation
  • Experience with large-scale federal statistical or survey data programs
  • Excellent written and verbal communication skills, including manuscript preparation and executive briefing to senior Government stakeholders

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About InstantServe

Sourced by ZipRecruiter

InstantServe provides a one-stop solution to all Healthcare, IT/Non-IT Staffing needs. Established in 2016, InstantServe is a strong workforce of over 100+ go-getters with a demonstrated background in IT/Non-IT service. We are a nationally certified SBE from the Department of Administration (State of PA). As a proud Minority Woman Owned Small Business Enterprise (M/WBE), InstantServe boasts of a strong team of professionals who have extensive experience catering to several Federal, Public, Commercial, and Healthcare Clients which includes 26 States and 46 government agencies. InstantServe is a client-centric organization that offers cost-effective and reliable solutions. Client satisfaction is sacrosanct! Our team strives to provide the best staffing and IT solutions to take your business to the next level.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Wayne, PA, US

Year founded

2016

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