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Manager Predictive Analytics Jobs in Baltimore, MD

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.

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

... enable advanced analytics, business intelligence, predictive modeling, and AI driven decision ... Establish enterprise data governance standards, data quality processes, metadata management ...

... enable advanced analytics, business intelligence, predictive modeling, and AI driven decision ... Establish enterprise data governance standards, data quality processes, metadata management ...

... enable advanced analytics, business intelligence, predictive modeling, and AI driven decision ... Establish enterprise data governance standards, data quality processes, metadata management ...

Showing results 41-60

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 Aug 15, 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 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 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 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:

Senior Data Scientist - USCYBERCOM J2

CELESTAR

Fort George G Meade, MD • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Celestar Corporation is seeking aSenior Data Scientist to support USCYBERCOM J2 The primary place of performance will be in the National Capital Region (NCR). If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity.
ANTICIPATED AWARD: September/October 2026
ANTICIPATED START: September/October 2026
PERIOD OF PERFORMANCE: 1 Base Year + 4 Option Years
LOCATION: National Capital Region (NCR)
CLEARANCE REQUIREMENT: Active TS/SCI with a Current Poly (within 5 years)
About Us:
Celestar, a B&A Company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off.
Responsibilities include, but are not limited to:
  • Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds Al tools that automate certain processes. Duties typically include:
    • Creates various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
    • Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems.
    • Documents Operating Instructions (Ols) for Command wide programs and initiatives as assigned by the Government.
  • Desired skills and experience include data visualization and use of graphical applications, including Microsoft Office (Power Bl) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms and prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.

Required qualifications/skills (Must Be Reflected on Your Resume):
• A minimum of 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years, and a master's degree.
-OR-
• A minimum of 17 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years, and a bachelor's degree
• Demonstrates in-depth knowledge and understanding of the labor category activities required to meet mission requirements.
• Demonstrates ability to work independently and with minimal oversight.
Active TS/SCI with a Current Poly (within 5 years)
Come on board with a company that Values its Employees!
Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.