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Manager Predictive Analytics Jobs in Baltimore, MD

Amivero

Data Scientist

Columbia, MD · On-site

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

Sonepar

Marketing Analytics Manager

Upper Marlboro, MD · On-site

$100K - $130K/yr

Marketing Analytics Manager Turn Data into Growth. Drive Smarter Business Decisions. Capital ... Build predictive models and customer scoring methodologies to improve campaign effectiveness.

Amivero

Data Architect/ Science Lead

Columbia, MD

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

Amivero

Data Architect/ Science Lead

Columbia, MD · On-site

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

Amivero

Data Architect/ Science Lead

Columbia, MD · On-site

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

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All JobsPredictive Analytics JobsManager Predictive Analytics JobsManager Predictive Analytics Jobs in Baltimore, MD

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 12, 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 are popular job titles related to Manager Predictive Analytics jobs in Baltimore, MD?

For Manager Predictive Analytics jobs in Baltimore, MD, the most frequently searched job titles 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:

Manager Predictive Analytics jobs near you

Data Scientist

Columbia, MD • On-site

Amivero
IT Services • 11 - 50 employees
Learn more about Amiveroexternal

Full-time

Re-posted 20 days ago

Job description

The Amivero Team 
Amivero’s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved.  
 
Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people.  
 
As a member of the Amivero team you will use your empathy for a customer’s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems. 
 
Special Requirements 

  • US Citizenship Required to obtain a Public Trust
  • Bachelor Degree
  • Must be local to the DMV area


The Gist… 

The Data Scientist is responsible for developing advanced analytics, machine learning, artificial intelligence, predictive modeling, and data visualization solutions that support mission objectives and operational decision making. The individual works closely with business stakeholders, Data Engineers, architects, and application development teams to transform complex data into actionable insights and deploy scalable AI/ML solutions within cloud environments.


  • Analyze large and complex datasets to identify trends, patterns, risks, and opportunities that support business and operational objectives.
  • Design, develop, train, evaluate, and deploy machine learning models and predictive analytics solutions.
  • Develop statistical models, forecasting solutions, classification models, and advanced analytical capabilities using structured and unstructured data.
  • Collaborate with Data Engineers to design scalable data pipelines and support production AI/ML environments.
  • Develop dashboards, reports, visualizations, and analytical products that communicate complex findings to technical and non-technical stakeholders.
  • Perform feature engineering, model tuning, model validation, and performance monitoring activities.
  • Support AI/ML governance, model lifecycle management, and continuous improvement initiatives.
  • Conduct exploratory data analysis and provide recommendations that support program and business objectives.
  • Collaborate with application development and cloud engineering teams to integrate analytics and machine learning capabilities into enterprise applicationsSupport data quality, security, compliance, and governance requirements throughout the analytics lifecycle

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative discipline.
  • Experience applying statistical analysis, machine learning, predictive modeling, data mining, and advanced analytics techniques to solve complex business and operational challenges.
  • Experience utilizing Python, SQL, NumPy, PyTorch, Scikit-Learn, Spark/Scala, and Databricks to develop machine learning and data science solutions.
  • Experience working with enterprise data platforms including PostgreSQL, Oracle, SQL Server, Aurora, OpenSearch, Redis, and cloud-based data repositories.
  • Experience utilizing AWS cloud services including S3, Kinesis, Lambda, Aurora, RDS, OpenSearch, CloudWatch, and related analytics services.
  • Experience developing dashboards, reports, and visualizations utilizing Tableau, Kibana, Splunk, and other business intelligence platforms.
  • Experience supporting production AI/ML deployments, model monitoring, model optimization, and operational analytics environments.
  • Experience working with large-scale data processing and distributed computing frameworks.
  • Strong written and verbal communication skills with the ability to communicate technical concepts to technical and non-technical audiences.
  • Experience collaborating within Agile, DevSecOps, and cross-functional product delivery teams.

EOE/M/F/VET/DISABLED 

All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. 

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