Data Scientist Jobs in Maryland
Data Scientist jobs in Maryland are among the most active in the mid-Atlantic region, concentrated in federal contracting, life sciences, and cybersecurity, with demand at every level from junior analyst to senior machine learning engineer. The heaviest hiring runs from the Baltimore metro and Bethesda to the Columbia and Rockville corridors, where employers like Leidos, Johns Hopkins, and the Johns Hopkins Applied Physics Laboratory have deep, lasting data science practices. The most in-demand specialties right now are predictive modeling for healthcare outcomes, NLP for defense and intelligence applications, and bioinformatics. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 126+ Data Scientist jobs
The Innovation & Delivery Transformation (I&DT) team is building the future of Deloitte's business through new AI-native platforms and products. The team is responsible for identifying, nurturing, scaling, and winning in new markets through new capabilities. Rather than relying on what the firm has historically done, I&DT looks ahead and invests in areas where growth is expected three, five, and ten years into the future.
Are you looking for a unique opportunity with both start-up spirit AND enterprise strength? Deloitte's Converge for FSI business offers both! We are looking for a talented Data Scientist to join the Converge for FSI team and help build differentiated, data-driven financial services products that achieve product-market fit. This is a great opportunity to work at the intersection of advanced analytics and financial services industry expertise, developing the models and insights that power Signals for FSI and future products in the Converge for FSI portfolio.
Position Summary
Financial services data holds enormous, often-underused potential - and turning it into decisions the business can act on takes both rigorous technical craft and real industry fluency. As a Data Scientist on the Signals for FSI team, you'll build the analytical engine behind one of Converge for FSI's flagship products, working hands-on with real financial services data to develop models clients can trust. You'll do it on a team that pairs start-up speed with the scale and credibility of Deloitte, giving you room to experiment while your work reaches some of the most influential institutions in financial services.
Recruiting for this role ends on 12/1/2026.
Work you'll do
As the Data Scientist, you will work at the intersection of data science, product, and financial services domain expertise to build and refine the models and analytics that power Signals for FSI:
- Develop, test, and refine statistical and machine learning models using financial services datasets (e.g., consumers, businesses, transactions, accounts, risk, or market data) to power Signals for FSI.
- Partner with the Product team to translate financial services use cases into data requirements, features, data signals, and model specifications.
- Conduct exploratory data analysis and validate data quality across structured and semi-structured financial services data sources.
- Evaluate model performance against business and regulatory considerations relevant to financial services and iterate based on findings.
- Translate analytical findings into clear, business-relevant insights for Product, Sales, and client-facing teams.
- Stay current on emerging Statistical, AI/ML techniques and financial services data trends, and evaluate their application to the Signals for FSI roadmap.
The successful candidate would possess these skills:
- Genuine interest in and working knowledge of the financial services industry, with curiosity about how data translates into real client outcomes - early use cases are retail banking, investment and wealth management and insurance, but will expand over time.
- Strong analytical rigor paired with sound judgment about when a signal or model is ready to ship versus needing further refinement.
- Comfortable moving between hands-on technical work and clear communication with product, engineering, and business stakeholders.
- Self-directed and organized, with the ability to manage multiple analytical workstreams at once.
- Collaborative mindset and a willingness to partner closely with engineering and product teams to bring models into production.
- Comfortable working through ambiguous, messy problems that require creativity and persistence.
Qualifications
Required:
- Bachelor's degree in Computer Science, Statistics, Data Science, Mathematics, or a related quantitative field.
- 4+ years of experience in applied data science, machine learning, or statistical modeling, including hands-on model development and validation - proficient at using Python, SQL and other data transformation and analytical tools
- Ability to travel 10-25%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
- Advanced degree (Master's) in Computer Science, Statistics, Data Science, Mathematics, or a related field.
- 2+ years of experience working with financial services data (e.g., banking, capital markets, investment management, or insurance) or delivering analytics solutions to financial services clients.
- 2+ years of working with customer data to build audiences and segments for sales and marketing use cases.
- Experience with cloud-based data and analytics platforms (e.g., Snowflake, Databricks, AWS, Google Cloud, or Azure) in a financial services or other highly regulated industry context.
- Experience with MCP servers and use of AI to analyze large data sets.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000-$240,500.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
The Innovation & Delivery Transformation (I&DT) team is building the future of Deloitte's business through new AI-native platforms and products. The team is responsible for identifying, nurturing, scaling, and winning in new markets through new capabilities. Rather than relying on what the firm has historically done, I&DT looks ahead and invests in areas where growth is expected three, five, and ten years into the future.
Are you looking for a unique opportunity with both start-up spirit AND enterprise strength? Deloitte's Converge for FSI business offers both! We are looking for a talented Data Scientist to join the Converge for FSI team and help build differentiated, data-driven financial services products that achieve product-market fit. This is a great opportunity to work at the intersection of advanced analytics and financial services industry expertise, developing the models and insights that power Signals for FSI and future products in the Converge for FSI portfolio.
Position Summary
Financial services data holds enormous, often-underused potential - and turning it into decisions the business can act on takes both rigorous technical craft and real industry fluency. As a Data Scientist on the Signals for FSI team, you'll build the analytical engine behind one of Converge for FSI's flagship products, working hands-on with real financial services data to develop models clients can trust. You'll do it on a team that pairs start-up speed with the scale and credibility of Deloitte, giving you room to experiment while your work reaches some of the most influential institutions in financial services.
Recruiting for this role ends on 12/1/2026.
Work you'll do
As the Data Scientist, you will work at the intersection of data science, product, and financial services domain expertise to build and refine the models and analytics that power Signals for FSI:
- Develop, test, and refine statistical and machine learning models using financial services datasets (e.g., consumers, businesses, transactions, accounts, risk, or market data) to power Signals for FSI.
- Partner with the Product team to translate financial services use cases into data requirements, features, data signals, and model specifications.
- Conduct exploratory data analysis and validate data quality across structured and semi-structured financial services data sources.
- Evaluate model performance against business and regulatory considerations relevant to financial services and iterate based on findings.
- Translate analytical findings into clear, business-relevant insights for Product, Sales, and client-facing teams.
- Stay current on emerging Statistical, AI/ML techniques and financial services data trends, and evaluate their application to the Signals for FSI roadmap.
The successful candidate would possess these skills:
- Genuine interest in and working knowledge of the financial services industry, with curiosity about how data translates into real client outcomes - early use cases are retail banking, investment and wealth management and insurance, but will expand over time.
- Strong analytical rigor paired with sound judgment about when a signal or model is ready to ship versus needing further refinement.
- Comfortable moving between hands-on technical work and clear communication with product, engineering, and business stakeholders.
- Self-directed and organized, with the ability to manage multiple analytical workstreams at once.
- Collaborative mindset and a willingness to partner closely with engineering and product teams to bring models into production.
- Comfortable working through ambiguous, messy problems that require creativity and persistence.
Qualifications
Required:
- Bachelor's degree in Computer Science, Statistics, Data Science, Mathematics, or a related quantitative field.
- 4+ years of experience in applied data science, machine learning, or statistical modeling, including hands-on model development and validation - proficient at using Python, SQL and other data transformation and analytical tools
- Ability to travel 10-25%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
- Advanced degree (Master's) in Computer Science, Statistics, Data Science, Mathematics, or a related field.
- 2+ years of experience working with financial services data (e.g., banking, capital markets, investment management, or insurance) or delivering analytics solutions to financial services clients.
- 2+ years of working with customer data to build audiences and segments for sales and marketing use cases.
- Experience with cloud-based data and analytics platforms (e.g., Snowflake, Databricks, AWS, Google Cloud, or Azure) in a financial services or other highly regulated industry context.
- Experience with MCP servers and use of AI to analyze large data sets.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000-$240,500.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
See All 126+ Data Scientist Jobs in Maryland
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Find Data Scientist JobsData Scientist Jobs by City in Maryland
Where Maryland roles are concentrated, by current openings.
Data Scientist Job Market in Maryland
A snapshot from current Maryland openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
- Science & Research
- Aerospace & Defense
- Government & Public Sector
- Hospitality & Tourism
What Maryland Employers Look For
The qualifications that appear most often in data scientist jobs across Maryland.
- Bachelor's or master's degree in statistics, computer science, or a quantitative field
- Proficiency in Python or R for data analysis, modeling, and automation
- Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Ability to query and manage large datasets using SQL or cloud data platforms
- Familiarity with federal data handling standards or DoD security clearance eligibility
- Strong communication skills for presenting findings to non-technical Maryland agency stakeholders
Data Scientist Jobs in Maryland: Frequently Asked Questions
How do you become a data scientist in Maryland?
There is no state-issued license required to work as a data scientist in Maryland. Most Maryland employers expect at least a bachelor's degree in statistics, computer science, mathematics, or a closely related field, with a master's degree preferred for senior roles. Federal contractors and defense-oriented employers in the state frequently require or favor candidates who can obtain a security clearance, which involves a federal background investigation rather than a Maryland-specific credential.
How much do data scientists make in Maryland?
Data scientists in Maryland earn a median of about $136,370 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,930 for the lowest 10% to over $213,270 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data scientists in Maryland?
Companies currently hiring data scientists in Maryland include Booz Allen Hamilton, Johns Hopkins University Applied Physics Laboratory, and Peraton, per current listings on Migrate Mate as of November 2026. Maryland's concentration of federal contractors, health systems, and research universities means hiring is particularly active among employers tied to government agencies and biomedical research.
Which Maryland cities have the most data scientist jobs?
The cities with the most data scientist openings in Maryland are Annapolis Junction, Fort Meade, and Bethesda. Baltimore anchors demand through its major health systems and universities, while the Bethesda, Rockville, and Columbia corridor drives volume through federal agencies, NIH-affiliated research, and the dense cluster of defense and intelligence contractors operating throughout the I-270 and I-95 corridors.
Are there remote data scientist jobs in Maryland?
Yes, and more than most fields. About 63% of data scientist openings tied to Maryland are remote or hybrid as of November 2026, reflecting the desk-based and analytical nature of the work. Roles in commercial industries and independent research tend to offer the most location flexibility, while positions tied to classified federal contracts or on-site laboratory environments typically require in-person presence in Maryland.
How can I get hired as a data scientist in Maryland with little or no experience?
The most realistic entry path is through an analytics or data analyst role at a Maryland health system, federal contractor, or research institution, then building toward data scientist titles from there. Employers like Johns Hopkins Health System and University of Maryland Medical System regularly hire junior analysts and research data coordinators. Building a portfolio of public projects using open federal datasets, completing a master's program at a Maryland institution, or earning cloud certifications can each accelerate the transition into an entry-level data scientist position.
Where can I find and apply to data scientist jobs in Maryland?
You can find and apply to data scientist jobs in Maryland on Migrate Mate, which lists current Maryland openings. Search the available roles, identify the ones that match your background and location preference, and apply directly to the ones that fit.
See All 126+ Data Scientist Jobs in Maryland
Find roles in Maryland that match your experience and apply in just a few clicks.
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