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Data Scientist Machine Learning Engineer Jobs (NOW HIRING)

Athena Technology Group

ATG is an Equal Opportunity/Affirmative Action Employer Minorities/Females/Vets/Disability Job Summary We are seeking a Data Scientist / Machine Learning Engineer to support advanced analytics and ...

Judge Group, Inc.

Data Scientist/ ML engineer

Irving, TX · On-site

$68 - $73/hr

Data Scientist / Machine Learning Engineer, GenAI We are not accepting C2C or 1099 arrangements. Location: Charlotte, NC or Irving, TX Work Model: Hybrid (3 days onsite per week) Duration: 12-month ...

Rule14

Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

As a Data Scientist Machine Learning, you will work within a small data science team focusing on ... Perform feature engineering to enhance model performance * Select appropriate algorithms based on ...

Merican

Data Science & Machine Learning Engineer

$117K - $140K/yr

Senior Data Science & Machine Learning Engineer Location: Remote, USA (Client Location ZIP: 01730) Duration: 6 Months Contract to Hire We are seeking an experienced Senior Data Science & Machine ...

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Data Scientist Machine Learning Engineer information

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$243.5K

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

As of Jun 25, 2026, the average yearly pay for data scientist machine learning engineer in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

AspectData Scientist Machine Learning EngineerData Analyst
Required CredentialsDegree in CS, Data Science, or related; experience with ML frameworksDegree in Statistics, Math, or related; proficiency in data visualization tools
Work EnvironmentDevelops ML models, algorithms, and scalable solutionsAnalyzes data, creates reports, and visualizations
Industry UsageTech, finance, healthcare, and more; focus on predictive modelingBusiness, marketing, finance; focus on reporting and insights

While Data Scientists Machine Learning Engineers focus on building and deploying machine learning models, Data Analysts primarily interpret data through reports and visualizations. Both roles require strong analytical skills, but Data Scientists Machine Learning Engineers typically have more technical expertise in algorithms and coding, making them more involved in model development and deployment.

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

To thrive as a Data Scientist Machine Learning Engineer, a strong background in statistics, programming (Python, R), and machine learning algorithms is essential, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with big data platforms (Spark, Hadoop) and cloud services (AWS, Azure) are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset help professionals translate complex data insights into actionable business solutions. These skills are crucial for effectively designing, deploying, and explaining machine learning models that drive innovation and informed decision-making.

What engineers make $500,000?

Data Scientist and Machine Learning Engineer roles can reach $500,000 annually, especially with extensive experience, advanced skills in programming, statistical analysis, and familiarity with tools like Python, R, and cloud platforms. Compensation often includes base salary, bonuses, and stock options, particularly in high-demand industries or senior positions.

What is a Data Scientist Machine Learning Engineer?

A Data Scientist Machine Learning Engineer is a professional who combines expertise in data analysis, statistical modeling, and software engineering to design, build, and deploy machine learning models. They work with large datasets to extract insights and solve complex problems by developing algorithms and predictive models. In addition to building models, they are responsible for ensuring models are scalable, robust, and integrated into production systems, often collaborating with data engineers and business stakeholders.

How do Data Scientist Machine Learning Engineers typically collaborate with other departments within an organization?

Data Scientist Machine Learning Engineers often work closely with cross-functional teams such as software engineers, product managers, and domain experts. They collaborate to understand business requirements, gather and preprocess data, and integrate machine learning models into production systems. Regular communication is essential to ensure that developed solutions align with organizational goals and are scalable. This collaborative environment not only helps in building robust models but also enhances the engineer’s understanding of real-world business challenges.

Can a data scientist work as a machine learning engineer?

A data scientist can transition to a machine learning engineer role since both involve working with data and algorithms; however, machine learning engineers typically require stronger software engineering skills, experience with deployment, and knowledge of tools like cloud platforms and APIs. Many professionals develop these skills through additional training or certifications to move between these roles.

Is 40 too late for data science?

Data scientists and machine learning engineers can successfully enter the field at age 40 or older, as skills in programming, statistics, and domain knowledge are more important than age. Many professionals transition into data science later in their careers by acquiring relevant certifications, such as those in Python, R, or machine learning, and building a strong portfolio. Age is generally not a barrier if you are committed to continuous learning and adapting to evolving tools and techniques.

Which 5 jobs will survive AI?

Data Scientist and Machine Learning Engineer roles are expected to persist as they involve complex problem-solving, domain expertise, and developing new algorithms that AI cannot fully replicate. Jobs requiring creativity, emotional intelligence, and strategic decision-making, such as healthcare professionals, educators, and specialized technical roles, are also likely to endure. Continuous learning and adapting to new tools like AI frameworks will be essential for these careers.
More about Data Scientist Machine Learning Engineer jobs
What job categories do people searching Data Scientist Machine Learning Engineer jobs look for? The top searched job categories for Data Scientist Machine Learning Engineer jobs are:
Data Scientist Machine Learning Engineer jobs near you
Data Scientist / Machine Learning Engineer

Data Scientist / Machine Learning Engineer

NaphCare

Birmingham, AL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

NaphCare rating

5.9

Company rating: 5.9 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

751st of 875 rated healthcare providers

Job description

Overview

We are looking for a Data Scientist / Machine Learning Engineer to join our team on-site with the NaphCare Charitable Foundation located in Birmingham, AL 35216.

Candidates local to Birmingham preferred. US Citizen or Green Card candidates only. 

As a Data Scientist at the NaphCare Charitable Foundation, you will work with advanced hardware, software, and techniques to develop computational algorithms and statistical methods that find patterns and relationships in large volumes of healthcare data. The core contributions of the Data Scientist will consist of collaborating with a multi-disciplinary team, defining experimentation setups, researching data-driven solutions to the problems identified, providing technical mentorship to other team members, and communicating results to stakeholders. The Data Scientist will join a team of engineers, researchers and product owners to deliver innovative, automated, and technologically advanced healthcare solutions through the integration of predictive models and analytical insight.

Responsibilities
  • Design and implement metrics, pipelines and tools that will enable engineers to achieve their data insights.
  • Make strategic recommendations on data collection, integration and retention incorporating business requirements and knowledge of best practices.
  • Keep up to date on related technologies and frameworks, and propose new ones that the team could leverage.
  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Summarize and clearly communicate data analysis assumptions and results
  • Identify shifts, determine new ways of looking at data, and creatively drive improvements in products.
  • Build and prototype analysis pipelines to iteratively test hypothesis.
  • Interact cross-functionally, making business recommendations to stakeholders.
Qualifications
  • Experience with distributed processing technologies
  • Experience with human-in-the-loop machine learning solutions
  • Medical Industry experience
  • Proven excellence in leading and contributing to Data Science projects.
  • Proven track record of pushing state of the art in the data science / machine learning space.
  • Strong communication, interpersonal skills and the fortitude to accomplish your goals.
  • Experience in leading discovery with stakeholders to identify requirements and the expected outcomes.
  • Capability to educate the organization both from technical and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results.
  • Demonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original research.
  • Comfortable working in a team environment.
  • Expert level in machine learning architecture and model development.
  • Strong working knowledge of statistical frameworks (Pandas, NumPy/SciPy, scikit-learn) (3+ years)
  • Strong working knowledge of machine learning frameworks (PyTorch, TensorFlow) (3+ years)
  • Mastery in building SQL queries
  • Experience monitoring the full life cycle of models
  • Experience with ETL pipelines
  • Strong verbal and written communication skills
  • Strong problem-solving skills to help refine problem statements and figure out how to solve them with the available data
  • Curious and driven to solve complex problems
  • Smart but humble, action oriented

Required Education

Ph.D. or Masters in the fields of Data Science, Engineering, Analytics, Mathematics, Computer Science, Statistics, Machine Learning, or other quantitative fields.

NaphCare is a family owned, healthcare technology company that has been delivering high quality healthcare to correctional facilities across the nation for over 35 years.  Come join our team of over 7000 employees and growing!  NaphCare pays well, offers outstanding benefits, and has an incredibly engaged corporate support team to make sure you have what you need to be truly excellent at what you do. At NaphCare Charitable Foundation, our vision is clear: drive scientific breakthroughs and societal upliftment through transformative research, educational programs, and scholarships. We conduct critical scientific research to address and understand health trends among justice-involved populations. Our dedication to innovation leads us to develop state-of-the-art patient care technology, setting new standards in healthcare efficiency and effectiveness.

NaphCare partners with correctional facilities to provide proactive, patient-focused healthcare. 

NaphCare Full Time Benefits:

Prescriptions free of charge through our health plan

Health, dental & vision insurance that starts day one

We offer low cost benefits to our employees and their families

Employment Assistance Program (EAP) services

100% vested 401K and Roth with company contribution that starts day one

Tuition Assistance

Referral bonuses

On-site education

Free Continuing Education!

Term life insurance at no cost to the employee

Generous paid time off & paid holidays

With NaphCare, you'll play a critical role in our continuing mission to be the leading provider of quality healthcare in the correctional industry.  If you want a career that will make a difference, choose the company that is different.

We support your growth and internal promotion.  Once hired, we encourage our employees to continue to seek opportunities for advancement and leadership.

Equal Opportunity Employer: disability/veteran

Employment Type: FULL_TIME

What NaphCare employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About NaphCare

Sourced by ZipRecruiter

NaphCare partners with correctional facilities to provide proactive, patient-focused healthcare. We recognize that we serve a unique and diverse patient population, and our onsite teams take pride in bringing excellence in care to a population in great need. Be part of a world-class team of professionals who are revolutionizing correctional healthcare. NaphCare offers competitive compensation! Our full-time teammates have a top-notch benefits package, which includes medical, dental, vision, FREE prescriptions, flexible spending account, company-paid life and AD&D insurance with voluntary life and AD&D options, ST & LT disability, 401(k) company contribution, 20 days Paid Time Off, paid holidays, tuition assistance, employee referral bonuses, etc.

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

Birmingham, AL, US

Year founded

1989

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