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Manager Predictive Analytics Jobs in Maryland (NOW HIRING)

Independent Software

$110 - $150/hr

Develop statistical, predictive, or machine learning models. * Collaborate with engineers, analysts ... management, data mining, data modeling, artificial intelligence, or software engineering.

AEM

Revenue Operations Analyst

Germantown, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... M for full-funnel revenue reporting. * Experience designing, developing, and implementing advanced BI/reporting and predictive-analytics solutions for effective data analysis. * Ability to extract ...

AEM

Revenue Operations Analyst

Germantown, MD · On-site

... M for full-funnel revenue reporting. * Experience designing, developing, and implementing advanced BI/reporting and predictive-analytics solutions for effective data analysis. * Ability to extract ...

USALCO

Commercial Data Analyst

Baltimore, MD · Remote

Build a predictive analytics and early warning operating system that enables the commercial team to ... Proficiency in SQL or Power BI * Familiarity with ERP systems and ERP-to-CRM data flows

AIToolboard

Senior AI-ML Engineer

Suitland, MD · On-site

$170 - $230/hr

... predictive analytics, natural language processing, and computer vision applications. • Implement and manage AI/ML pipelines and tooling in cloud environments. • Integrate AI/ML models with ...

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Manager Predictive Analytics information

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 Maryland?

The most popular types of Predictive Analytics jobs in Maryland are:

What are popular job titles related to Manager Predictive Analytics jobs in Maryland?

For Manager Predictive Analytics jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Manager Predictive Analytics jobs in Maryland look for?

The top searched job categories for Manager Predictive Analytics jobs in Maryland are:

What cities in Maryland are hiring for Manager Predictive Analytics jobs?

Cities in Maryland with the most Manager Predictive Analytics job openings:

Manager Predictive Analytics jobs near you

Data Scientist - Senior

Leidos

Fort George G Meade, MD • On-site

Full-time

Re-posted 21 days ago

Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

79th of 492 rated business services

Job description

Looking for an opportunity to make an impact?
At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.
If this sounds like the kind of environment where you can thrive, keep reading!
The Opportunity
Are you ready to shape the future of global security? The Leidos Intelligence Sector is seeking a highly motivated Data Scientist for USCYBERCOM J2 to conduct advanced data analytics, data engineering, data mining, exploratory and predictive analysis, and statistical analysis in support of informed analytic and operational decision-making. The Data Scientist will employ scientific techniques to correlate complex multi-source data, producing graphical, written, visual, and verbal narrative products. This role requires proactively retrieving, integrating, and analyzing data from a wide variety of internal and external sources, and building artificial intelligence (AI) and machine learning (ML) tools that automate processes and enable enhanced mission effectiveness.
Join a team where your "greatest work" isn't just a slogan-it's our daily standard.
Contract Status: Proposal Phase/Contingent Upon Award.
Security Clearance: Active DoD TS/SCI with Polygraph required. We are not able to sponsor the clearance requirement.
What you'll be doing:
Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis to uncover insights and enable data-driven decisions. Use scientific methods to transform raw data into actionable narrative products, including graphical, visual, written, and verbal reports tailored for stakeholders. Retrieve, manage, and merge data from disparate sources to build comprehensive and accurate datasets for analysis. Design, develop, and implement ML-based tools and processes, such as recommendation engines, automated lead scoring systems, and predictive analytics solutions. Perform statistical analysis and data mining techniques to identify patterns, trends, correlations, and build high-quality prediction systems supporting mission-critical objectives. Present analytic findings using advanced data visualization tools and graphical applications to intuitively communicate complex information. Document Operating Instructions (OIs) for command-wide programs and initiatives as assigned by the Government. Collaborate with analysts, engineers, and operations personnel to align analytic models and tools with mission requirements and evolving data needs. Stay abreast of advancements in data science, ML/AI technologies, and analytic tools to continuously improve analytic capabilities and workflows.
Needed Experience, Skills, and Education:
  • Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years.
  • Master's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education; or have Bachelor's degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master's degree. Additional years of experience may be considered in lieu of degree.
  • Proficiency in data visualization and graphical applications, such as Microsoft Office (Power BI), Tableau, or equivalent tools.
  • Experience with data science programming languages, such as R and Python.
  • Advanced skills in managing, merging, and analyzing disparate data sources, preferably through R, Python, or SQL.
  • Demonstrated expertise in applying statistical analysis, data mining algorithms, and machine learning to large, multi-source intelligence datasets. Prior experience with Multi-INT analytics, ML, automated and predictive analytics in a large-scale or defense/intelligence environment.

Clearance Needed: Active DoD TS/SCI with Polygraph required. We are not able to sponsor the clearance requirement.
Preferred Experience, Skills, and Education:
  • Deep familiarity with USCYBERCOM organizational structure and mission.
  • Prior experience supporting Joint operations across multiple warfighting domains.
  • Knowledge of cloud computing deployment models in private, public, and hybrid environment and the difference between on-premises and off-premises environments.
  • Knowledge of cloud computing service models Software as Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS).
  • Knowledge of computer networking concepts and protocols, and network security methodologies.
  • Knowledge of cyber threats and vulnerabilities.
  • Knowledge of cybersecurity principles.
  • Knowledge of national and international laws, regulations, policies, and ethics as they relate to cybersecurity.
  • Knowledge of risk management processes (e.g., methods for assessing and mitigating risk).
  • Knowledge of specific operational impacts of cybersecurity lapses.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
January 26, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $116,350.00 - $210,325.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

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At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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