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Data Science Machine Learning Jobs in Silver Spring, MD

Responsibilities : • Spearhead the strategy and execution of enterprise-wide data science, machine learning, and AI initiatives, ensuring alignment with long-term organizational goals and business ...

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118K - $162K/yr

Master's Degree in Data Science, Machine Learning, or a related field * Proven experience in a machine learning or AI engineering role * Strong proficiency in Python, C++, or Java * Extensive ...

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Showing results 21-40

Data Science Machine Learning information

See Silver Spring, MD salary details

$38.8K

$126.9K

$203.1K

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

As of Sep 2, 2026, the average yearly pay for data science machine learning in Silver Spring, MD is $126,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $140,600.00 per year, depending on experience, location, and employer.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.

What are the key skills and qualifications needed to thrive as a data science machine learning professional?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a data science machine learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

Is data science machine learning a high paying job?

Data science and machine learning roles are generally high-paying within the tech industry due to the specialized skills required, such as programming, statistical analysis, and experience with tools like Python or TensorFlow. Salaries vary based on experience, location, and company size but tend to be above average compared to many other professions.
Infographic showing various Data Science Machine Learning job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $126,496 per year, or $60.8 per hour.

Data Engineer - Data Architecture for Data Science & Machine Learning

Penn State University

Reston, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

236th of 628 rated colleges and universities


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
POSITION SPECIFICS
We are seeking a Senior Data Engineer with deep expertise in database design, optimization, and data access strategies to support our growing data science and machine learning initiatives within the Information Science Division of the Applied Research Laboratory (ARL) at Penn State. In this role, you will architect and optimize data systems that empower our data scientists to efficiently research, train, and deploy both traditional and ML-based algorithms and applications.
The ideal candidate is a PostgreSQL expert who also brings hands-on experience with other modern data storage technologies-such as NoSQL, graph, and time-series databases-and can guide the organization in choosing the right tools and structures for each data use case.
Located in either State College, PA or Reston, VA
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
You will:
  • Design and maintain scalable, high-performance database solutions to support data science workflows and ML experimentation
  • Partner with data scientists to understand data access patterns and develop storage strategies that accelerate analysis and model training
  • Serve as the internal subject matter expert on PostgreSQL-including schema design, indexing, partitioning, and query optimization
  • Evaluate and integrate alternative database technologies (e.g., MongoDB, Neo4j, Redis, Cassandra) where they provide clear advantages
  • Lead efforts to optimize data pipelines for both structured and unstructured data used in algorithm development
  • Ensure data integrity, security, and governance across storage systems
  • Implement monitoring, automation, and performance-tuning tools for all database environments
  • Advise on data lifecycle management-balancing accessibility for R&D with efficiency and compliance requirements

Required skills/experience includes:
  • 5+ years of experience in data engineering, database architecture, or related technical roles
  • Expert-level proficiency in PostgreSQL (query tuning, schema design, indexing, partitioning, replication)
  • Strong understanding of data modeling, normalization vs. denormalization tradeoffs, and query optimization
  • Experience with non-relational databases (e.g., MongoDB, Cassandra, Neo4j, Redis, or DynamoDB)
  • Familiarity with machine learning workflows and how data is consumed for training, evaluation, and deployment
  • Experience with cloud database services (AWS RDS/Aurora, GCP Cloud SQL, Azure Database)
  • Proficiency in SQL and one or more scripting languages (Python preferred)
  • Excellent communication and collaboration skills-comfortable working closely with data scientists, ML engineers, and software developers

Preferred skills/experience includes:
  • Experience architecting hybrid data ecosystems spanning relational, NoSQL, and analytical databases.
  • Knowledge of data lake, warehouse, and feature store architectures (e.g., Snowflake, Redshift, BigQuery, Feast)
  • Familiarity with ETL/ELT frameworks and data orchestration tools (e.g., Airflow, dbt)
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field

Work location can be fully on-site located in State College, PA or Reston , VA. Questions related to flexible work should be directed to the hiring manager during the interview process.
MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS
If filled as R&D Engineer - Data Science (ARL) - Principal Professional, this position requires:Bachelor's Degree - Engineering or Science19+ years of relevant experienceRequired Certifications:NoneIf filled as R&D Engineer - Data Science (ARL) - Advanced Professional, this position requires:Bachelor's Degree - Engineering or Science5+ years of relevant experienceRequired Certifications:NoneIf filled as R&D Engineer - Data Science (ARL) - Senior Professional, this position requires:Bachelor's Degree - Engineering or Science14+ years of relevant experienceRequired Certifications:None
ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Intel Community (IC), and other federal government customers.
FOR FURTHER INFORMATION on ARL, visit our website at www.arl.psu.edu
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
Notice regarding employment at the Applied Research Laboratory (ARL):Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas. You must be a U.S. citizen to apply.
SALARY & BENEFITS
The salary range for this position, including all possible grades, is $146,040.00 - $318,840.00. This salary range includes an adjustment based on required geographic work location.
Salary Structure - Information on Penn State's salary structure
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
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