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Predictive Analytics Jobs in Baltimore, MD (NOW HIRING)

Experience with AI/ML, optimization, predictive analytics, recommendation systems, intelligent workflows, product integrations, APIs, or data platforms. * Experience translating complex data and ...

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The Data Scientist is responsible for developing advanced analytics, machine learning, artificial intelligence, predictive modeling, and data visualization solutions that support mission objectives ...

The Data Scientist is responsible for developing advanced analytics, machine learning, artificial intelligence, predictive modeling, and data visualization solutions that support mission objectives ...

The Data Scientist is responsible for developing advanced analytics, machine learning, artificial intelligence, predictive modeling, and data visualization solutions that support mission objectives ...

Showing results 41-60

Predictive Analytics information

See Baltimore, MD salary details

$26.8K

$112K

$199.2K

How much do predictive analytics jobs pay per year?

As of Sep 12, 2026, the average yearly pay for predictive analytics in Baltimore, MD is $112,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $122,200.00 per year, depending on experience, location, and employer.

What is predictive analytics?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

What are the key skills and qualifications needed to thrive in predictive analytics?

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are some typical challenges faced in a predictive analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.

What degree do I need for predictive analytics?

Predictive analytics roles typically require at least a bachelor's degree in fields such as statistics, data science, computer science, or mathematics. Advanced positions may prefer or require a master's degree or higher, along with skills in programming languages like Python or R and experience with data analysis tools.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to identify patterns and develop models that forecast future outcomes. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to support data-driven decision-making within organizations.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.

What are the most commonly searched types of Predictive Analytics jobs in Baltimore, MD?

The most popular types of Predictive Analytics jobs in Baltimore, MD are:

What job categories do people searching Predictive Analytics jobs in Baltimore, MD look for?

The top searched job categories for Predictive Analytics jobs in Baltimore, MD are:

Infographic showing various Predictive Analytics job openings in Baltimore, MD as of September 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $112,005 per year, or $53.8 per hour.

GNSS Data Science and Navigation Analyst with Security Clearance

Laurel, MD • On-site

Johns Hopkins University Applied Physics Laboratory
Guided Missile and Space Vehicle Manufacturing • 5 - 10K employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Job description

Description Ready to make impactful contributions in GNSS-based navigation to improve the reliability, accuracy, and effectiveness of our nation's strategic deterrent weapon systems? Interested in modeling the effects of missile kinematics on GPS signal propagation and reception in large-scale test flights, and characterizing the performance of deployed flight hardware? Eager to develop and evaluate forward-thinking GNSS and alternative navigation solutions together with a dedicated, collaborative team, in order to tackle national security challenges? If so, we are looking for someone like you to join us in the GNSS and SATRACK Systems Group! We are seeking an inquisitive, motivated data scientist to delve into flight test GNSS data, focusing on the post‑processed RF signal records collected during each test. By converting these records into clear, quantitative performance metrics, you will deliver recommendations that drive next generation navigation instrumentation. In this role you will conduct in‑depth assessments, devise innovative algorithms, and team with multidisciplinary experts to define instrumentation and sustainment requirements that keep our systems aligned with the nation's evolving strategic deterrence objectives. Join a forward‑thinking team of satellite navigation specialists whose blend of algorithm development, data analytics, and custom hardware design directly supports the nation! As a GNSS data science and navigation analyst, you will... * Analyze GNSS data to extract detailed insights of navigation performance for various missions, through predictive analytics, data engineering, and visualization
* Evaluate emerging GPS and GNSS technology (e.g., GPS modernization, contested-environment operation, alternate navigation options) and translate into recommendations
* Develop your proficiency in navigation satellite signal physics and receiver technology
* Lead cross-functional teams to respond to sponsor needs
* Implement, build, and enhance innovative algorithms as we improve our simulation and data science tools to deliver insightful analysis
* Build team knowledge-base and collaborate with staff across all experience levels, establishing yourself as a technical authority on satellite-based positioning applications Qualifications You will meet our minimum qualifications if you... * Hold a B.S. in a quantitative or engineering field such as Data Science, Applied Physics, Computer Science, Electrical Engineering, Aerospace Engineering, or Mathematics
* Demonstrated track‑record of systematically exploring innovative ways to improve the fundamentals of navigational accuracy through predictive analysis and data engineering
* Have at least 8 years of technical experience and at least 5 years of exposure to a navigation-related field
* Proficient in at least one scientific programming language such as Python, MATLAB, or C/C++
* Established ability to engage both technical experts and program management, and document sophisticated technical analysis with compelling reports, briefings, and visualizations
* Are able to obtain a Secret security clearance by your start date and can ultimately obtain a Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship You'll go above and beyond our minimum requirements if you... * Hold an M.S. or Ph.D. in a relevant subject area
* Possess a minimum of 10 years engaged in GNSS navigation or alternative Position Navigation and Timing systems
* Have a solid foundation in statistical data analysis, Kalman filtering, signal propagation physics, and/or machine learning
* Possess software development experience with a focus on Matlab and Python, including use of Git/GitLab with Continuous Integration
* Are familiar with the strategic deterrence mission
* Have demonstrated project leadership and mentoring skills
* Hold an active Top Secret level clearance
#LI-AG1 About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact . The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $100,000 Annually Maximum Rate $245,000 Annually