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Highbrow LLC

Data Scientist / ML Engineer

Frisco, TX · On-site

$100 - $130/hr

Data Scientist / ML Engineer Year Of Experience : 7+ years Location: Overland Park KS/ Frisco TX ( 5 days onsite from day 1) Visa Type :- (US Citizen only ) (Female candidate only required ...

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How much do data scientist ml engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data scientist ml 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 a data scientist ml engineer?

Data Scientists and Machine Learning (ML) Engineers are professionals who use data, algorithms, and computational techniques to extract insights and build predictive models. Data Scientists focus on analyzing data, discovering patterns, and generating actionable insights, often using statistical and machine learning methods. ML Engineers, on the other hand, specialize in designing, developing, and deploying machine learning models into production environments, ensuring they are scalable and efficient. Both roles require strong programming skills, knowledge of mathematics and statistics, and familiarity with data processing tools. Together, they help organizations make data-driven decisions and automate processes using advanced analytics.

How do data scientist ml engineers typically collaborate with other teams within an organization?

Data Scientist ML Engineers often work closely with cross-functional teams, including data engineers, product managers, software developers, and business analysts. They collaborate to understand business objectives, gather and preprocess data, develop machine learning models, and integrate solutions into production environments. Effective communication is essential, as they must translate complex technical concepts into actionable insights for stakeholders. This collaborative environment fosters innovation and ensures that machine learning solutions are aligned with organizational goals.

What are the key skills and qualifications needed to thrive as a data scientist ml engineer, and why are they important?

To thrive as a Data Scientist/Machine Learning Engineer, you need strong statistical analysis, programming skills (typically in Python or R), and a solid understanding of machine learning algorithms, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms like AWS or Azure, along with relevant certifications, is highly valuable. Critical thinking, problem-solving abilities, and effective communication help you interpret complex data and collaborate with cross-functional teams. These skills ensure you can build robust models, extract actionable insights, and drive data-driven decisions within organizations.

What is the difference between Data Scientist Ml Engineer vs Data Analyst?

AspectData Scientist ML EngineerData Analyst
Required SkillsProgramming (Python, R), Machine Learning, Data ModelingData Visualization, SQL, Basic Statistics
Work EnvironmentDeveloping ML models, deploying algorithms, coding-intensiveData reporting, dashboard creation, data interpretation
Common Industry UsageTech, Finance, Healthcare, E-commerceRetail, Marketing, Business Services

While Data Scientist ML Engineers focus on building and deploying machine learning models using programming and advanced analytics, Data Analysts primarily interpret data through visualization and reporting to support business decisions. Both roles require strong analytical skills, but ML Engineers have a heavier emphasis on coding and model deployment, whereas Data Analysts focus on data interpretation and communication.

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Data Scientist Ml Engineer jobs near you
Infographic showing various Data Scientist Ml Engineer 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 $165,018 per year, or $79.3 per hour.

Data Scientist / ML Engineer

Overland Park, KS • On-site

Highbrow LLC
IT Services • 11 - 50 employees
Learn more about Highbrow LLCexternal

$100 - $130/hr

Other

Posted 23 days ago

Job description

Data Scientist / ML Engineer

Year Of Experience: 7+ years

Location: Overland Park KS/ Frisco TX ( 5 days onsite from day 1)

Visa Type :- (US Citizen only ) (Female candidate only required )

Employment Type :- W2

Duration :- Long Term

Job Description :-

7plus years of experience in statistical modeling, data mining, analytics techniques, machine learning software development and reporting

3plus years of applied experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., and key parameters that affect their performance.

3plus years of hands-on experience with Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc.

3 plus years of experience in building use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as Azure cloud platforms and On- premise environments

Expertise with SQL, noSQL, Python, R, Javascript programming languages and big data environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker, Kubernetes etc.)

Experience developing experimental and analytic plans for data modeling processes, using strong baselines, and determining cause and effect relations.

Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects.

Expertise with scaling pilot machine learning solutions to a large scale production environment

Expertise with visualization tools such as PowerBI, D3JS etc.

Excellent written and verbal communication skills.

Proficient in machine learning data workflows, data collection methodologies, and data analysis.

Experience with architecting, designing, developing software solution in Azure and on-prem

environments.

Certifications AI / ML and Azure Cloud platforms will be plus

Education:

  • Bachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.
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