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Senior Data Scientist Machine Learning Jobs (NOW HIRING)

Data Scientist / Senior Data Scientist 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 ...

Senior Data Scientist

San Ramon, CA · On-site

$100 - $105/hr

Title: Senior Data Scientist Job ID: 26-03023 Location: San Ramon, CA Duration: 12 months on W2 ... Machine Learning & Predictive Modeling * Python, R, SQL * Statistics, Mathematics & Feature ...

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 ...

We are looking for a Senior Data Scientist to develop and deploy advanced analytics and AI ... Analyze large and complex datasets to identify patterns, build statistical and machine learning ...

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 ...

We're looking for a Senior Data Scientist to lead high-priority, cross-functional data science and ... Data Science & Machine Learning * Lead the design, development, deployment, and optimization of ...

Data science, machine learning, and analytics are a crucial part of this mission. These ... We are looking for Senior Data Scientist, ideally with a background in supply chain modeling and ...

Senior, Data Scientist

Greenland, AR · On-site

$90K - $180K/yr

Senior Data Scientist - Decision Sciences We are looking for a Senior Data Scientist to join ... Machine Learning Operations (MLOps): Deploying and maintaining machine learning models in ...

Senior, Data Scientist

Anderson, MO · On-site

$90K - $180K/yr

Senior Data Scientist - Decision Sciences We are looking for a Senior Data Scientist to join ... Machine Learning Operations (MLOps): Deploying and maintaining machine learning models in ...

Senior, Data Scientist

Springdale, AR · On-site

$90K - $180K/yr

Senior Data Scientist - Decision Sciences We are looking for a Senior Data Scientist to join ... Machine Learning Operations (MLOps): Deploying and maintaining machine learning models in ...

Senior, Data Scientist

Rogers, AR · On-site

$90K - $180K/yr

Senior Data Scientist - Decision Sciences We are looking for a Senior Data Scientist to join ... Machine Learning Operations (MLOps): Deploying and maintaining machine learning models in ...

Senior, Data Scientist

Elm Springs, AR · On-site

$90K - $180K/yr

Senior Data Scientist - Decision Sciences We are looking for a Senior Data Scientist to join ... Machine Learning Operations (MLOps): Deploying and maintaining machine learning models in ...

Senior, Data Scientist

Fayetteville, AR · On-site

$90K - $180K/yr

Senior Data Scientist - Decision Sciences We are looking for a Senior Data Scientist to join ... Machine Learning Operations (MLOps): Deploying and maintaining machine learning models in ...

Senior, Data Scientist

Cassville, MO · On-site

$90K - $180K/yr

Senior Data Scientist - Decision Sciences We are looking for a Senior Data Scientist to join ... Machine Learning Operations (MLOps): Deploying and maintaining machine learning models in ...

Senior, Data Scientist

Goshen, AR · On-site

$90K - $180K/yr

Senior Data Scientist - Decision Sciences We are looking for a Senior Data Scientist to join ... Machine Learning Operations (MLOps): Deploying and maintaining machine learning models in ...

Senior, Data Scientist

Noel, MO · On-site

$90K - $180K/yr

Senior Data Scientist - Decision Sciences We are looking for a Senior Data Scientist to join ... Machine Learning Operations (MLOps): Deploying and maintaining machine learning models in ...

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Senior Data Scientist Machine Learning information

See salary details

$41.5K

$142.5K

$201K

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

As of Jun 29, 2026, the average yearly pay for senior data scientist machine learning in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data scientist or entering data science roles. Success depends on skills, experience, and continuous learning, such as mastering machine learning tools and programming languages like Python or R. Many professionals transition into data science later in their careers and achieve senior positions through relevant training and project experience.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or features. Senior Data Scientists often use this concept to prioritize data cleaning, feature selection, and model tuning to improve efficiency and model performance.

How does a Senior Data Scientist specializing in Machine Learning typically collaborate with cross-functional teams?

Senior Data Scientists in Machine Learning often work closely with product managers, software engineers, and business analysts to understand project goals and translate them into actionable data solutions. They are responsible for communicating complex technical concepts to non-technical stakeholders, ensuring that ML models align with business objectives. Collaboration frequently involves participating in regular strategy meetings, reviewing data pipelines with engineering teams, and providing insights that guide product development. This cross-disciplinary teamwork is essential for successfully deploying machine learning models into production environments.

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

To thrive as a Senior Data Scientist in Machine Learning, you need advanced expertise in statistics, programming (Python or R), and machine learning algorithms, typically backed by a relevant degree (such as in computer science or mathematics) and several years of experience. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, GCP, or Azure), as well as experience with big data technologies, is essential. Strong problem-solving, communication, and project leadership skills help drive impactful solutions and foster collaboration across teams. These skills ensure the successful design, deployment, and scaling of machine learning models that deliver business value.

Which is better, DS or CS?

For a Senior Data Scientist Machine Learning role, both Data Science (DS) and Computer Science (CS) backgrounds are valuable, but DS emphasizes statistical analysis, data modeling, and machine learning techniques, while CS focuses on algorithms, software development, and systems. The choice depends on the specific job requirements; roles often require knowledge of programming languages like Python or R, and familiarity with machine learning frameworks. Having skills in both areas can be advantageous for advanced data science positions.

What is the difference between Senior Data Scientist Machine Learning vs Data Scientist?

AspectSenior Data Scientist Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, Statistics, or related field; experience with ML frameworksBachelor's or Master's in relevant field; foundational knowledge of data analysis
Work EnvironmentAdvanced analytics teams, R&D, product developmentData analysis teams, business intelligence, reporting
Employer & Industry UsageTech companies, finance, healthcare, e-commerceSimilar industries, often entry to mid-level roles

The main difference is that Senior Data Scientist Machine Learning roles require more experience, advanced skills in ML frameworks, and often involve leading projects. Data Scientists typically focus on data analysis and reporting with less emphasis on complex ML models. Senior roles also tend to involve mentorship and strategic input.

What does a Senior Data Scientist specializing in Machine Learning do?

A Senior Data Scientist in Machine Learning leads the development, implementation, and optimization of advanced statistical and machine learning models to solve business problems. They analyze large, complex datasets, design predictive algorithms, and collaborate with cross-functional teams to integrate models into production systems. Additionally, they mentor junior data scientists, contribute to setting technical strategy, and often communicate findings to stakeholders to drive data-driven decision-making.

Is ML a high paying job?

Senior Data Scientist Machine Learning roles are generally well-paid due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Salaries often reflect experience, industry, and location, with many positions offering competitive compensation packages compared to other data-related roles.
More about Senior Data Scientist Machine Learning jobs
What cities are hiring for Senior Data Scientist Machine Learning jobs? Cities with the most Senior Data Scientist Machine Learning job openings:
What are the most commonly searched types of Data Scientist Machine Learning jobs? The most popular types of Data Scientist Machine Learning jobs are:
What states have the most Senior Data Scientist Machine Learning jobs? States with the most job openings for Senior Data Scientist Machine Learning jobs include:
Infographic showing various Senior Data Scientist Machine Learning job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
Data Scientist

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.