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Senior Data Scientist Machine Learning Jobs (NOW HIRING)

This is an exciting Senior Data Scientist/Machine Learning opportunity to have a real impact and be a large fish in a small pond! As a Senior Data Scientist at, you will: * Develop natural language ...

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR ...

Data Analysis, Machine Learning Algorithms, Deep Learning Frameworks, Lang chain, AWS Bedrock, AWS We are looking for a Senior Data Scientist with a strong traditional ML/DS background and hands-on ...

Data Analysis, Machine Learning Algorithms, Deep Learning Frameworks, Lang chain, AWS Bedrock, AWS We are looking for a Senior Data Scientist with a strong traditional ML/DS background and hands-on ...

Senior, Data Scientist

Hayward, CA · On-site

$117K - $234K/yr

As a Senior Data Scientist (Machine Learning Engineer) on the Catalog Data Quality team, you will collaborate with other Data Scientists and ML Engineers to develop, deploy, and scale machine ...

Senior, Data Scientist

Cupertino, CA · On-site

$117K - $234K/yr

As a Senior Data Scientist (Machine Learning Engineer) on the Catalog Data Quality team, you will collaborate with other Data Scientists and ML Engineers to develop, deploy, and scale machine ...

They are seeking a Senior Data Scientist to develop AI and machine learning solutions that will enhance product offerings and optimize business strategies. Responsibilities : • Engage with business ...

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Senior Data Scientist Machine Learning information

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$41.5K

$142.5K

$201K

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

As of Jun 28, 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.
Senior Data Scientist

Senior Data Scientist

Roberts Recruiting

Boston, MA • On-site

Other

Posted yesterday


Job description

We're an exciting seed round, Boston-based,contract management and analysis tool for technology companies to track and search key liabilities across all contracts and make finding key contract data for audits and other diligence easier. This is an exciting Senior Data Scientist/Machine Learning opportunity to have a real impact and be a large fish in a small pond!
As a Senior Data Scientist at, you will:
  • Develop natural language processing systems that help our customers understand their contracts
  • Work with a wide range of structured and unstructured data sources
  • Design and build customized, large-scale cloud-based machine learning systems
We're looking for people to:
  • Examine data from multiple sources and communicate insights to stakeholders
  • Design natural language processing solutions including named-entity recognition and text classification
  • Lead a team of data analysts
  • Work with our product managers and machine learning engineers during development phase.
Nice-to-haves include:
  • Familiarity with Python NLP frameworks and libraries such as scikit, NumPy, and XGBoost
  • Experience working with engineers on algorithm development, architecture planning, and development
  • Knowledge of Github and software development best practices