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Data Scientist Machine Learning Jobs (NOW HIRING)

Koantek

Data Scientist

Chandler, AZ · On-site

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Build and optimize machine learning models for classification, regression, predictive analytics ...

Koantek

Data Scientist

Chandler, AZ · On-site

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Build and optimize machine learning models for classification, regression, predictive analytics ...

Nestle

Senior Data Scientist

Bridgewater, NJ · On-site

Analyze large and complex datasets to identify patterns, build statistical and machine learning ... Integrate the latest data science innovations into product solutions, enhancing data, analytical ...

Staffingine LLC

Data Scientist

Charlotte, NC · On-site

Expertise in machine learning statistical modelling and data thoughtfulness to develop and implement advanced algorithms and thoughtful solutions * Manage end-to-end data science projects ensuring ...

Agile Tech Labs

Data Scientist

Detroit, MI · On-site

Data Scientist Job Location: Detroit, MI (Hybrid) Job Type: Contract ... Develop and deploy Machine Learning and AI models. * Analyze large datasets and generate business ...

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Data Scientist Machine Learning information

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$196.5K

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

As of Jul 15, 2026, the average yearly pay for data scientist 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 is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Machine Learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex systems. AI is a tool that enhances their work but does not replace the need for skilled professionals who understand data, algorithms, and system integration.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require complex problem-solving, domain expertise, and the ability to interpret and communicate insights from data. Jobs that involve creativity, emotional intelligence, and strategic decision-making, such as healthcare professionals, educators, and skilled trades, are also expected to remain resilient despite AI advancements.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

Do data scientists do machine learning?

Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
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What cities are hiring for Data Scientist Machine Learning jobs? Cities with the most Data Scientist Machine Learning job openings:
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Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist (Applied Machine Learning)

Data Scientist (Applied Machine Learning)

FOCUSPOINT

Brentwood, TN • On-site

$35 - $53/hr

Contractor

Medical, Dental, Vision, Life

Posted 25 days ago

Job description

Job Title: Data Scientist (Applied Machine Learning)
Location: Varies by client
Employment Type: Contract, Contract To Hire and Full Time
Pay: Commensurate with experience

Job Overview:
FOCUSPOINT is seeking experienced Data Scientists for our client base.

Our clients, leading innovators, are seeking a highly skilled Data Scientists with a focuses on Applied Machine Learning to join their dynamic teams. These is a high-impact roles where you'll translate complex data into actionable insights, build scalable ML models, and directly influence product development and strategic decision-making.

As a staffing partner, we’re looking for candidates who thrive in fast-paced environments, bring deep technical expertise, and are passionate about solving real-world problems with machine learning.

We’re actively sourcing candidates who combine strong analytical rigor with practical problem-solving and communication skills. If you enjoy turning patterns into strategy and are ready to leverage your data expertise to drive real-world outcomes, we want to hear from you.

Core Responsibilities:

  • Design, develop, and deploy machine learning models for production use
  • Collaborate with cross-functional teams (engineering, product, analytics) to identify opportunities for ML-driven solutions
  • Conduct exploratory data analysis and feature engineering on structured and unstructured datasets
  • Optimize model performance and scalability using best practices in ML engineering
  • Communicate findings and model outcomes to technical and non-technical stakeholders
  • Stay current with advancements in ML algorithms, frameworks, and tools

Required Skills and Experience:

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field (PhD preferred for research-heavy roles)
  • 3+ years of experience in applied machine learning or data science roles
  • Proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
  • Strong understanding of supervised and unsupervised learning, deep learning, and model evaluation techniques
  • Experience with cloud platforms (AWS, Azure, GCP) and data pipeline tools
  • Excellent communication and problem-solving skills

Preferred Skills

  • Experience with NLP, computer vision, or time-series modeling
  • Familiarity with MLOps tools and CI/CD workflows
  • Background in deploying models in real-time systems or edge environments
  • Contributions to open-source ML projects or publications in peer-reviewed journals

Benefits:

  • Dental insurance
  • Health insurance
  • Vision insurance
  • Health savings account
  • Life insurance
  • Disability insurance

Why Work With Us

As a trusted staffing partner, we offer:

  • Direct access to top-tier companies and cutting-edge projects
  • Personalized career guidance and interview coaching
  • Competitive compensation packages and benefits
  • Opportunities for long-term placement and career growth

About FOCUSPOINT:
FOCUSPOINT specializes in connecting top-tier professionals with exceptional opportunities in accounting, technology, healthcare, and leadership. We prioritize building meaningful connections, ensuring candidates find roles that align with their skills, goals, and passions.