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Data Scientist Machine Learning Jobs in Elkridge, MD

asrcfh

Junior Data Scientist

Greenbelt, MD · On-site

We are seeking a Data Scientist / Machine Learning to provide junior-level support a NASA contract in Greenbelt, MD. Responsibilities : Position Overview: Seeking a Data Scientist or Machine Learning ...

asrcfh

Junior Data Scientist

Greenbelt, MD · On-site

We are seeking a Data Scientist / Machine Learning to provide junior-level support a NASA contract in Greenbelt, MD. Responsibilities : Position Overview: Seeking a Data Scientist or Machine Learning ...

SOSi

Data Scientist III

Washington, DC · On-site

This role is responsible for applying data science, machine learning, and data engineering techniques to enhance enterprise security monitoring, detection, threat hunting, user and entity behavior ...

SOSi

Data Scientist III

Washington, DC · On-site

This role is responsible for applying data science, machine learning, and data engineering techniques to enhance enterprise security monitoring, detection, threat hunting, user and entity behavior ...

Agile Defense

Data Scientist

Washington, DC · On-site

$130 - $155/hr

Data Scientist Location: Washington, D.C. Clearance Level: Top Secret / SCI, Must Have Clearance to ... This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and ...

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

MANTECH seeks a motivated, career and customer-oriented Data Scientist in Fort Meade, MD , to drive ... machine learning into mission operations. Responsibilities include but are not limited to:

New

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

MANTECH seeks a motivated, career and customer-oriented Data Scientist in Fort Meade, MD , to drive ... machine learning into mission operations. Responsibilities include but are not limited to:

New

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All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Elkridge, MD

Data Scientist Machine Learning information

See Elkridge, MD salary details

$37K

$121.2K

$194.1K

How much do data scientist machine learning jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data scientist machine learning in Elkridge, MD is $121,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $134,300.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

What are popular job titles related to Data Scientist Machine Learning jobs in Elkridge, MD?

For Data Scientist Machine Learning jobs in Elkridge, MD, the most frequently searched job titles are:

What job categories do people searching Data Scientist Machine Learning jobs in Elkridge, MD look for?

The top searched job categories for Data Scientist Machine Learning jobs in Elkridge, MD are:

What cities near Elkridge, MD are hiring for Data Scientist Machine Learning jobs?

Cities near Elkridge, MD with the most Data Scientist Machine Learning job openings:

Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Elkridge, MD as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $121,220 per year, or $58.3 per hour.

Data Scientist - Machine Learning, Search & Personalization

Turn2Partners

Washington, DC • On-site

Full-time

Re-posted 5 days ago

Job description

This Turn2 client is a rapidly scaling technology company that is seeking a Data Scientist to design and deploy intelligent systems that shape how users search, discover, and interact with digital products. This role sits at the intersection of research and product, ideal for someone eager to solve hard problems at scale using applied ML.
You'll lead the development of real-time ranking, recommendation, and personalization models, working closely with engineering and product stakeholders to drive measurable user impact.
Why This Role Stands Out:
  • Core impact: Shape how users experience discovery and decision-making across the platform.
  • End-to-end ownership: From model design to production deployment and performance optimization.
  • Innovation-driven: Work with modern ML approaches-embeddings, ranking systems, and real-time inference.

What You'll Do:
  • Build machine learning models for search relevance, ranking, and personalized recommendations.
  • Develop and scale retrieval systems to support fast, relevant product discovery.
  • Design full ML pipelines from data ingestion and feature engineering to model training and deployment.
  • Experiment with embedding techniques, ranking algorithms, and personalization methods.
  • Collaborate with engineering and product teams to embed models into core user-facing experiences.

What You Bring:
  • 5+ years of hands-on experience in applied machine learning.
  • Deep knowledge of recommendation systems, search, personalization, or ranking models.
  • Strong Python skills and familiarity with ML libraries (e.g., PyTorch, TensorFlow).
  • Experience with distributed data processing (e.g., PySpark, ETL pipelines).
  • Track record of deploying machine learning models into production systems.

Bonus Points For:
  • Advanced degree in Computer Science, Data Science, or a related technical field.
  • Experience with cloud platforms like AWS, GCP, or Azure.
  • Familiarity with real-time inference systems or large-scale retrieval architectures.
  • Ability to bridge ML research and product needs-delivering practical solutions with business impact.

Apply