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Work From Home Data Scientist Machine Learning Jobs in Washington

... the machine learning development lifecycle, from data curation and synthetic data generation to ... Ability to work in a fast-paced, collaborative, Agile environment * Eligibility to work in ...

Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to ... Hands-on practical experience with data analytics, machine learning, and statistical methods.

Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public ... Design and develop machine learning models and analytical approaches to support search, discovery ...

... work, quickly and for the least cost. Our world class data scientists wring the value from data ... Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

Data Scientist Principal

Chantilly, VA · On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is hiring a Data Scientist Principal ... Hands-on practical experience with data analytics, machine learning, and statistical methods.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Knowledge ... You may also be required to work from or visit a customer facility. * Onsite : If this position is ...

... work on projects that expand your skills, learn from peer mentors, and iterate internal research ... Our team works with agentic and generative AI, machine learning, network analysis, sampling ...

Data Scientist

Arlington, VA · On-site +1

$77K - $176K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Knowledge ... You may also be required to work from or visit a customer facility. * Onsite : If this position is ...

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Work From Home Data Scientist Machine Learning information

What is a work from home data scientist machine learning?

A Work From Home Data Scientist specializing in Machine Learning is a professional who analyzes data and builds predictive models using machine learning techniques, while working remotely. Their responsibilities include collecting, cleaning, and interpreting large datasets, creating algorithms, and communicating findings to help organizations make data-driven decisions. They often use programming languages like Python or R, and collaborate with teams through digital tools. This role allows for flexibility in location and often requires strong self-motivation and communication skills.

What are the key skills and qualifications needed to thrive as a work from home data scientist machine learning?

To thrive as a Work From Home Data Scientist in Machine Learning, you need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, typically supported by a relevant degree in computer science, mathematics, or a related field. Proficiency with tools like TensorFlow, scikit-learn, SQL, and cloud platforms such as AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving, self-motivation, and effective remote communication skills set outstanding professionals apart. These skills are crucial for designing robust models, collaborating across remote teams, and delivering actionable insights to drive business decisions.

How does working remotely as a data scientist specializing in machine learning affect team collaboration and project workflow?

As a remote Data Scientist focused on Machine Learning, collaboration is often facilitated through digital communication tools like Slack, Zoom, and version control platforms such as GitHub. Project workflows are typically structured using agile methodologies, with regular virtual stand-ups and sprint reviews to ensure alignment. While remote work offers flexibility, it also requires proactive communication to stay updated on evolving project goals and to coordinate effectively with data engineers, product managers, and other stakeholders. Building strong documentation habits and being responsive during core working hours can help overcome common challenges related to time zone differences or asynchronous work.

What is the difference between Work From Home Data Scientist Machine Learning vs Work From Home Data Analyst?

AspectWork From Home Data Scientist Machine LearningWork From Home Data Analyst
Required SkillsProgramming (Python, R), Machine Learning, Statistical AnalysisData Visualization, Basic Statistical Skills, Excel
CertificationsCertified Data Scientist, Machine Learning CertificationsNone typically required, but certifications like Microsoft Data Analyst are common
Work EnvironmentRemote, collaborative teams, research-focused
Industry UsageTech, Finance, Healthcare, E-commerce

Work From Home Data Scientist Machine Learning roles focus on developing predictive models and advanced algorithms, requiring programming and machine learning expertise. In contrast, Work From Home Data Analyst positions emphasize data interpretation, reporting, and visualization. Both roles are remote-friendly and industry-relevant, but differ in technical depth and scope.

What cities in Washington are hiring for Work From Home Data Scientist Machine Learning jobs?

Cities in Washington with the most Work From Home Data Scientist Machine Learning job openings:

Senior Data Scientist - Machine Learning & AI

VA • Remote

Team Velocity
Internet and IT • 201 - 500 employees

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

Senior Data Scientist – Machine Learning & AI
Remote | Full-Time | $160,000–$190,000

Team Velocity is seeking a Senior Data Scientist to develop and deploy machine learning, predictive analytics, and AI solutions that improve customer engagement, marketing performance, operational efficiency, and business intelligence.

This is a hands-on role for an experienced data scientist who can take models from data exploration and development through production deployment, monitoring, and optimization. You will partner with Product, Data Engineering, Software Engineering, Analytics, and business leadership to deliver measurable business impact.

This is a full-time remote position. Candidates must reside in the Continental U.S. and be able to support an 8:30 AM–5:30 PM ET business hours. Eastern and Central Time Zones highly preferred.

KEY RESPONSIBILITIES

  • Design, build, evaluate, and deploy production machine learning models.
  • Develop predictive models for churn, propensity, lead scoring, customer lifetime value, recommendations, forecasting, personalization, and marketing attribution.
  • Perform statistical analysis, hypothesis testing, A/B testing, causal inference, and time-series analysis.
  • Build feature engineering, model training, and inference pipelines.
  • Deploy and monitor ML models, including model performance, drift detection, and retraining.
  • Apply Generative AI, LLMs, RAG, and vector databases to business and customer applications.
  • Partner with Product, Engineering, Analytics, and leadership to translate business problems into scalable data science solutions.
  • Mentor junior data scientists and establish best practices for model development, documentation, and code quality.

REQUIREMENTS

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field; Master's or PhD preferred.
  • 5+ years | Python + SQL | production ML | predictive modeling | model deployment | MLOps | cloud | measurable business impact
  • Proven ability to deliver measurable business impact through data science and machine learning.
  • Strong communication, analytical, and business problem-solving skills.
  • Expert Python and SQL skills.

TECHNICAL EXPERIENCE

  • Machine Learning: XGBoost, LightGBM, Random Forest, Neural Networks, Deep Learning
  • Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, causal inference, time series
  • Data & Cloud: Snowflake, dbt, Spark, Airflow, GCP preferred; AWS or Azure considered
  • MLOps: MLflow, Kubeflow, Vertex AI, feature stores, CI/CD, model monitoring
  • AI/LLMs: OpenAI, Gemini, Claude, LangChain, LangGraph, RAG, embeddings, vector databases
  • Experience with data quality and observability tools such as Great Expectations or Monte Carlo is a plus.

*You do not need experience with every technology listed above. Strong production machine learning experience is the priority.

Preferred Experience

  • Large-scale customer or behavioral data
  • Marketing analytics, personalization, or customer intelligence
  • SaaS, automotive, retail, advertising, or marketing technology
  • Real-time inference or streaming data
  • Production Generative AI applications

COMPENSATION & BENEFITS
The expected salary range is $160,000–$190,000 annually, based on experience, skills, and qualifications. Benefits include medical, dental, vision, 401(k) matching, unlimited paid leave, wellness programs, and more.

NEXT STEPS
If you meet the requirements, and are interested in applying for this role, please complete the online employment application and be sure to upload a current resume and current contact information.

About Team Velocity
Team Velocity is a full-service marketing and technology company serving automotive manufacturers and dealerships nationwide. Our proprietary Apollo® technology platform uses data, predictive analytics, and AI to predict consumer behavior, personalize marketing, and help dealerships increase sales and service revenue.

Join us in applying data science, machine learning, and AI to real-world business problems at scale.