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Director Data Analyst Machine Learning Jobs in Baltimore, MD

Amivero

Data Scientist

Columbia, MD

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

Amivero

Data Scientist

Columbia, MD · On-site

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

Amivero

Data Scientist

Columbia, MD · On-site

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

Cymertek

Data Analyst

Annapolis Junction, MD · On-site

Familiarity with machine learning * Understanding of ETL processes * Experience with big data ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Infojini Inc

Data Analyst

Linthicum Heights, MD

Knowledge of Data Science Concepts Knowledge and/or experience with Machine Learning Algorithms and Analysis. Knowledge and/or experience with Data Visualization and tools (Tableau, Google Data ...

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All JobsData Analyst Machine Learning JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Baltimore, MD

Director Data Analyst Machine Learning information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

How much do director data analyst machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for director data analyst machine learning in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

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What cities near Baltimore, MD are hiring for Director Data Analyst Machine Learning jobs?

Cities near Baltimore, MD with the most Director Data Analyst Machine Learning job openings:

Director Data Analyst Machine Learning jobs near you

Data Scientist / Machine Learning (TS SCI + Poly is Required)

Aperio Global

Fort George G Meade, MD • On-site

Full-time

Posted yesterday

New

Job description

Aperio Global is seeking a Data Scientist to develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.

Overview: 

Level 1

Produce data visualizations that provide insight into dataset structure and meaning.
Collaborate with subject matters experts (SMEs) to identify important information in raw data
and develop scripts that extract this information from a variety of data formats (e.g., SQL tables,
structured metadata, network logs).
Incorporate SME input into feature vectors suitable for analytic development and testing.
Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
Develop statistical tests to make data-driven recommendations and decisions

Level 2

Develop experiments to collect data or models to simulate data when required data are unavailable.
Develop feature vectors for input into machine learning algorithms.
Identify the most appropriate algorithm for a given dataset and tune input and model parameters.
Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).
Evaluate individual analytic efforts and make recommendations in the analytic development process.
Recommend solutions that can scale to large datasets.
Collaborate with software engineers, cloud developers, and appropriate stakeholders to develop production analytics.
Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation
Security Clearance Requirements:

This position requires all candidates to be U.S. Citizens and possess an active TS/SCI Security Clearance with a Polygraph.

Qualifications:

Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, and engineering or computer science) from an accredited college or university, and four (4) years of experience analyzing datasets and developing analytics and two (2) year of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
A Master's degree in relevant discipline may be substituted for two (2) years of relevant experience analyzing datasets and developing analytics, and one (1) year of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.
In lieu of a Bachelor's Degree, an additional four (4) years of relevant experience may be substituted for a total of eight (8) years of relevant experience analyzing datasets and developing analytics, and two (2) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.

Level 2: 
A PhD in relevant discipline may be substituted for four (4) years relevant experience reducing the requirement to four (4) years of relevant experience analyzing datasets and developing analytics, and one (1) year of experience programming with data analysis software such as R, Python, SAS, or MATLAB.

Anticipated Salary Range; 
LEVEL 1     150-170  
LEVEL 2    170-190

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