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Data Science Machine Learning Jobs (NOW HIRING)

Beth Page tech

Data Scientist

Houston, TX · On-site

Data Science & Machine Learning: * Strong foundation in mathematics, statistics, and machine learning * Experience with exploring and extracting insights from multi-dimensional datasets * Proficiency ...

Boseallaboutme

Sr. Data Scientist

Framingham, MA

$120K - $165K/yr

Data science, machine learning, and analytics are a crucial part of this mission. These capabilities fuel the creation of new and innovative products, helping us to bring the right products to the ...

TeleTracking

Machine Learning Engineer III

Pittsburgh, PA · On-site

$111.20K - $133.50K/yr

... data scientists, software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions. • Work with large ...

Bose Corporation

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

Data science, machine learning, and analytics are a crucial part of this mission. These capabilities fuel the creation of new and innovative products, helping us to bring the right products to the ...

TeleTracking

Machine Learning Engineer III

Pittsburgh, PA · On-site

$111.20K - $133.50K/yr

... data scientists, software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions. • Work with large ...

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Applies data science, machine learning and other analytical modeling methods to develop defensible and reproducible predictive models * Serves as the technical lead for the development of computer ...

Carnegie Mellon University

Data Scientist

Arlington, VA · On-site

Requirements: * BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training ...

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Data Science Machine Learning information

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$37.5K

$122.7K

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

As of May 30, 2026, the average yearly pay for data science machine learning in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Machine Learning professional, and why are they important?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a Data Science Machine Learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

More about Data Science Machine Learning jobs
What cities are hiring for Data Science Machine Learning jobs? Cities with the most Data Science Machine Learning job openings:
What states have the most Data Science Machine Learning jobs? States with the most job openings for Data Science Machine Learning jobs include:
What job categories do people searching Data Science Machine Learning jobs look for? The top searched job categories for Data Science Machine Learning jobs are:
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 53% Physical, 4% Hybrid, and 43% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

Koantek

Chandler, AZ

Contractor

Posted 9 days ago

Job description

Job Title: Data Scientist / Senior Data Scientist Job Description: We are seeking a highly skilled Data Scientist with strong experience in Generative AI, traditional Machine Learning, and ML Ops. The ideal candidate will have hands-on expertise in developing AI-driven solutions, building predictive models, and deploying scalable machine learning applications into production environments. Key Responsibilities: Design, develop, and implement Generative AI solutions including chatbots and AI assistants.

Work with frameworks such as LangChain and related LLM orchestration tools. Build and optimize machine learning models for classification, regression, predictive analytics, and time series forecasting. Develop end-to-end ML pipelines and support deployment of models into production environments.

Collaborate with cross-functional teams to identify business problems and translate them into scalable AI/ML solutions. Monitor, maintain, and improve model performance and reliability. Work with structured and unstructured datasets to derive actionable insights.

Required Skills: Strong experience in Generative AI and Large Language Model (LLM) applications. Hands-on experience with LangChain or similar AI orchestration frameworks. Solid understanding of Machine Learning concepts including: Predictive Modeling Classification Regression Time Series Analysis Experience with ML Ops practices and deploying machine learning models into production.

Proficiency in Python and common data science libraries/frameworks. Experience with cloud platforms and modern AI/ML toolsets. Strong analytical, problem-solving, and communication skills.

Preferred Qualifications: Experience with Databricks is a plus. Familiarity with cloud-based AI/ML environments. Experience working in enterprise-scale AI initiatives.

Experience Required: 5+ years of experience in Data Science, Machine Learning, or AI-related roles.

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