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Director Data Analyst Machine Learning Jobs (NOW HIRING)

Data Analyst: This role applies industry-leading methodologies for working with large datasets to ... The ideal candidate will also be passionate about developing machine learning models using Azure ...

Director, Data Analytics

Manhattan, NY · On-site

$160 - $210/hr

## Director, Data AnalyticsApplyremote type: Partially Remotelocations: New York, New York: New Hyde ... Experience implementing predictive analytics, machine learning, or self-service analytics programs ...

Data Analyst - JETARS

Bellevue, NE · On-site

$95 - $150/hr

Position Overview The GARRETT GROUP is seeking an experienced Data Analyst to support advanced ... Direct experience developing, testing, and deploying Machine Learning models. * Expertise with:

New

Position OverviewThe GARRETT GROUP is seeking an experienced Data Analyst to support advanced ... Direct experience developing, testing, and deploying Machine Learning models. Expertise with:

Data Scientist

San Antonio, TX · On-site

$90 - $130/hr

In this role, you will use advanced analytics, machine learning models, and statistical methods to ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a ... This position combines advanced analytics, machine learning, Generative AI, competitive ...

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a ... This position combines advanced analytics, machine learning, Generative AI, competitive ...

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a ... This position combines advanced analytics, machine learning, Generative AI, competitive ...

Data Scientist

Chantilly, VA · On-site

$120 - $170/hr

In this role, you will use advanced analytics, machine learning models, and statistical methods to ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Showing results 21-40

Director Data Analyst Machine Learning information

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$34K

$82.6K

$136K

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

As of Aug 21, 2026, the average yearly pay for director data analyst machine learning in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.

More about Director Data Analyst Machine Learning jobs

What cities are hiring for Director Data Analyst Machine Learning jobs?

Cities with the most Director Data Analyst Machine Learning job openings:

What are the most commonly searched types of Data Analyst Machine Learning jobs?

The most popular types of Data Analyst Machine Learning jobs are:

What states have the most Director Data Analyst Machine Learning jobs?

States with the most job openings for Director Data Analyst Machine Learning jobs include:

Infographic showing various Director Data Analyst Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Full-time

Re-posted 19 days ago


Job description

Overview:
Data Analyst: This role applies industry-leading methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. This role will apply advanced methods and algorithms for identifying trends, predicting outcomes, and alerting the business to potential issues. Additionally, the Data Analyst is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions.
This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Could platforms. The ideal candidate will also be passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads. Multiple could platforms expertise is desired.
Responsibilities:
  • Engage with business partners and stakeholders to understand business problems and translate them into data analytics solutions.
  • Coordinate and collaborate with data engineering, analytic engineering, and other resources to achieve business goals.
  • contribute to the end-to-end development and deployment of predictive and prescriptive models.
  • Explore large datasets using modeling, analysis, and visualization techniques.
  • Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
  • Ability to mentor, coach, and lead others.
  • Contribute to and help build ML/AI vision to support business strategy.

Required Knowledge, Skills, Abilities (Qualifications):
  • Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
  • 3 years of experience applying data science, AI/machine learning, or analytics techniques to business problems.
  • Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
  • Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems in data engineering and data analytics.

Ability to work on data Engineering and bigdata programming tools and technologies such as pig, Hive, Hadoop
Skills:
SQL, Spark, and Python,AI,ML