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Manager Predictive Analytics Jobs in Baltimore, MD

Data Analytics Engineer

Towson, MD · Hybrid

$109K - $131K/yr

Currently this is being managed through manual processes. You will also assist with ETL from ... predictive analytics resources based on data in our Data Warehouse. Job Requirements Required:

Data Analytics Engineer

Baltimore, MD · Hybrid

$113K - $136K/yr

Currently this is being managed through manual processes. You will also assist with ETL from ... of predictive analytics resources based on data in our Data Warehouse. Job Requirements:

Data Analytics Engineer

Towson, MD · Hybrid

$109K - $131K/yr

Currently this is being managed through manual processes. You will also assist with ETL from ... predictive analytics resources based on data in our Data Warehouse. Job Requirements Required:

Data Analytics Engineer

Baltimore, MD · Hybrid

$113K - $136K/yr

Currently this is being managed through manual processes. You will also assist with ETL from ... of predictive analytics resources based on data in our Data Warehouse. Job Requirements:

... management consulting company that specializes in processing, reviewing, and analyzing medical ... learning, and predictive analytics to extract actionable insights. Develops and implements ...

... predictive analytics. The ideal candidate brings deep industry experience, a strong technical ... managers, and targeted prospects. * - Pursue system upgrades, retrofits, and migrations from ...

Design, develop, train, evaluate, and deploy machine learning models and predictive analytics ... Support AI/ML governance, model lifecycle management, and continuous improvement initiatives.

Design, develop, train, evaluate, and deploy machine learning models and predictive analytics ... Support AI/ML governance, model lifecycle management, and continuous improvement initiatives.

Showing results 21-40

Manager Predictive Analytics information

See Baltimore, MD salary details

$64.1K

$124.5K

$177.9K

How much do manager predictive analytics jobs pay per year?

As of Sep 11, 2026, the average yearly pay for manager predictive analytics in Baltimore, MD is $124,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $148,100.00 per year, depending on experience, location, and employer.

What is a manager predictive analytics?

A Manager Predictive Analytics is a professional responsible for overseeing teams and projects that use statistical techniques, machine learning, and data analysis to forecast future trends and support business decision-making. They manage the development and implementation of predictive models, ensuring data quality and actionable insights for their organization. In addition to technical expertise, they coordinate with stakeholders to align analytics initiatives with business goals and often mentor data analysts or data scientists within their team.

What are the key skills and qualifications needed to thrive as a manager predictive analytics?

To thrive as a Manager Predictive Analytics, you need a strong background in statistics, data analysis, and predictive modeling, often supported by a degree in mathematics, statistics, computer science, or a related field. Expertise with analytics tools such as Python, R, SQL, and familiarity with machine learning platforms, as well as relevant certifications like SAS or AWS Certified Machine Learning, is typically expected. Outstanding leadership, communication, and problem-solving skills help in leading teams and translating complex insights for stakeholders. These abilities ensure data-driven decision-making, effective project management, and impactful business outcomes.

What are the main challenges faced by a manager predictive analytics, and how can they be addressed?

A Manager of Predictive Analytics often encounters challenges such as ensuring data quality, bridging communication gaps between technical teams and business stakeholders, and keeping up with rapidly evolving analytical tools and techniques. Addressing these challenges requires fostering strong cross-functional collaboration, implementing robust data governance practices, and encouraging continuous learning among team members. Additionally, setting clear project objectives and maintaining alignment with business goals can help deliver actionable insights and maximize the impact of predictive analytics initiatives.

What is the difference between Manager Predictive Analytics vs Data Scientist?

AspectManager Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Analytics, Statistics, or related field; often managerial certificationsBachelor's or Master's in Data Science, Statistics, or related field; sometimes PhDs
Work EnvironmentLeads teams, manages projects, collaborates with business unitsDevelops models, analyzes data, experiments with algorithms
Employer & Industry UsageBusiness, finance, marketing, healthcare organizationsTech companies, research institutions, finance, healthcare

While both roles focus on data analysis, the Manager Predictive Analytics oversees teams and strategic projects, whereas Data Scientists primarily develop models and conduct in-depth data analysis. The manager role emphasizes leadership and project management, often requiring experience in analytics tools and business acumen, while Data Scientists focus on technical expertise in algorithms and programming.

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 Manager Predictive Analytics jobs in Baltimore, MD look for?

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

GNSS Data Science and Navigation Analyst

Laurel, MD • On-site

Johns Hopkins Applied Physics Laboratory
Manufacturing • 5 - 10K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


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 Accessibility@jhuapl.edu.
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

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