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Data Analyst Machine Learning Jobs (NOW HIRING)

Machine Learning Data Engineer

Cupertino, CA ยท On-site

$141K - $169K/yr

Experience in data analysis, data engineering, and machine learning data operations.Experience designing data quality control processes, data curation workflows, or Human-in-the-Loop initiatives.

Machine Learning Data Engineer

Dallas, TX ยท Hybrid

$113K - $136K/yr

Machine Learning Data Engineer Location: Hybrid 2 days/week in Dallas, TX or Boston, MA Duration ... The second will be more of an Engineer/Business Analyst hybrid, supporting the lead architect and ...

Analyze and extract key insights from rich stores of customer data * Research and implement ML ... Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software ...

We are looking for a curious and innovative Machine Learning Engineer to explore, experiment and build AI driven solutions that analyze customer journey and go to market data. The ideal candidate ...

Data Analyst

Omaha, NE ยท On-site

The role requires the application of advanced analytical techniques, including machine learning ... The Data Analyst will collaborate with planners, analysts, and subject matter experts to develop ...

The role requires the application of advanced analytical techniques, including machine learning ... The Data Analyst will collaborate with planners, analysts, and subject matter experts to develop ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) * Implement ...

Data Scientist

Fredericksburg, VA ยท On-site

$60 - $70/hr

Design and implement data pipelines, analytics models, and machine-learning solutions to support process automation and predictive decision-making. * Collect, clean, and validate structured and ...

This person will implement and develop machine learning models to enhance our platform ... Data Analysis: Analyze large datasets to identify trends and patterns, and use this information to ...

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

As of Jun 18, 2026, the average yearly pay for 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 are the key skills and qualifications needed to thrive in the Data Analyst Machine Learning position, and why are they important?

To thrive as a Data Analyst Machine Learning, you need strong analytical skills, a background in statistics or mathematics, and experience in data preprocessing, model building, and evaluation. Familiarity with programming languages such as Python or R, experience with machine learning libraries (like scikit-learn or TensorFlow), and relevant certifications (such as Google Data Analytics or AWS Certified Machine Learning) are highly beneficial. Effective communication, problem-solving, and collaboration skills help distinguish top performers in this role. These abilities are crucial for transforming raw data into actionable insights, presenting findings clearly, and driving data-informed decisions in business settings.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, the need for human expertise in interpreting results, understanding business context, and developing models remains essential in the field of data analysis and machine learning.

Is 40 too late for data science?

For a Data Analyst Machine Learning role, age is not a barrier to entering the field. Success depends on acquiring relevant skills such as programming, statistics, and machine learning tools, which can be learned at any age through online courses or certifications.

What is a Data Analyst Machine Learning job?

A Data Analyst Machine Learning job involves analyzing large datasets to extract insights and support decision-making using machine learning techniques. Professionals in this role clean, preprocess, and visualize data while building and evaluating predictive models. They work with programming languages like Python or R, use tools such as SQL and Tableau, and apply statistical methods to uncover patterns. This role bridges data analysis and machine learning by transforming raw data into actionable insights. Typically, they collaborate with data scientists, engineers, and business stakeholders to drive data-driven strategies.

What are the typical career progression opportunities for someone in a Data Analyst Machine Learning role?

Many professionals begin as Data Analysts with a focus on machine learning and, as they gain experience, can advance to roles such as Machine Learning Engineer, Data Scientist, or Analytics Manager. Career growth often involves taking on more complex projects, leading analytical teams, and contributing to strategic decision-making within the organization. Expanding your expertise in advanced machine learning techniques, big data tools, and business acumen can open doors to leadership positions. Additionally, working cross-functionally with engineering, product, and business teams provides valuable exposure and opportunities for further advancement.

Do data analysts work with machine learning?

Data analysts often work with machine learning by preparing data, performing exploratory data analysis, and applying basic models to support decision-making. However, more advanced machine learning tasks are typically handled by data scientists or machine learning engineers who have specialized skills in algorithms and programming tools like Python or R.

What is the salary of data analyst in AI ML?

The salary of a Data Analyst specializing in AI and machine learning typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with skills in Python, R, SQL, and machine learning frameworks may command higher salaries, especially in tech hubs or companies focusing on AI projects.
What cities are hiring for Data Analyst Machine Learning jobs? Cities with the most 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 Data Analyst Machine Learning jobs? States with the most job openings for Data Analyst Machine Learning jobs include:
Data Analyst

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Posted 10 days ago


Job description

Position Title: Data Analyst

Location: Arlington, VA (Remote)

Clearance Level: Secret

Responsibilities will include, but are not limited to:

  • Analyze military operational data to identify trends, patterns, and anomalies that can inform strategic decision-making.
  • Clean, and preprocess large datasets related to Army operations, logistics, personnel, and intelligence for analysis.
  • Develop dashboards and reports to visualize key performance indicators and metrics for Army leadership.
  • Perform geospatial analysis to support mission planning, resource allocation, and situational awareness.
  • Conduct data mining and exploratory data analysis to extract insights from diverse military datasets.

Required qualifications

  • Bachelorโ€™s Degree in related field of study or equivalent experience.
  • Minimum of three years of experience, one within DoD, working with big-data systems and developing production-level data models.
  • Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers.
  • Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S. Army organization and regulations, and strong organization and communication skills.
  • Have a strong data science, machine learning, and statistical modeling background.
  • Communicate complex technical findings to a variety of audiences.
  • Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills. Prior knowledge of Power BI, Tableau, and Advana data science is preferred.