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Senior Data Scientist Machine Learning Jobs (NOW HIRING)

Walmart

Senior, Data Scientist

Sunnyvale, CA

$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 ...

Walmart

Senior, Data Scientist

Cupertino, CA

$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 ...

Walmart

Senior, Data Scientist

Fremont, CA

$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 ...

Walmart

Senior, Data Scientist

San Mateo, CA

$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 ...

Walmart

Senior, Data Scientist

San Jose, CA

$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 ...

Walmart

Senior, Data Scientist

Hayward, CA

$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 ...

Walmart

Senior, Data Scientist

Mountain View, CA

$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 ...

Walmart

Senior, Data Scientist

Milpitas, CA

$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 ...

CarGurus

Senior Data Scientist

Boston, MA

... Senior Data Scientist, International will be responsible for implementing, training and testing ... Implement, train, and evaluate machine learning models using Python and AWS SageMaker. * Develop ...

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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 May 30, 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.

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.

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 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.

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.

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:
What job categories do people searching Senior Data Scientist Machine Learning jobs look for? The top searched job categories for Senior Data Scientist Machine Learning jobs are:
Senior Data Scientist Machine Learning jobs near you
Infographic showing various Senior Data Scientist Machine Learning job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 53% Physical, 8% Hybrid, and 39% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Senior or Principal Data Scientist/Machine Learning Scientist

Datalign Advisory, Inc.

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 18 days ago

Job description

Position Overview
We are seeking a Senior or Principal Data Scientist/Machine Learning Scientist to lead product-focused artificial intelligence initiatives and facilitate strategic decision-making through advanced analytics and machine learning. This role requires a proven track record of building and scaling data science products that directly impact user experience and business outcomes.
As Data Scientist/Machine Learning Scientist, you will shape the future of how consumers connect with vetted financial advisory firms through our proprietary three-sided marketplace, leveraging data and AI-powered analytics to create meaningful one-to-one matches and improved financial outcomes.
Please note: We are only accepting applications from candidates in the Greater Boston area, as this is a hybrid role with 4 days a week in office.
Key Responsibilities
  • Conduct exploratory data analysis to uncover relationships, patterns and key features in data for both business decision making and model development.
  • Develop and deploy machine learning models for production using robust CI/CD practices in collaboration with software engineers.
  • Identify success metrics and build evaluation frameworks for both model and product performance considering both technical and business requirements.
  • Innovate with the latest generative AI and graph-based machine learning advancements to improve existing processes and develop new products.
  • Contribute to architectural and code reviews to maintain and evolve the health of our technical stack.
  • Collaborate with product management, engineering, and business teams to rapidly identify and test high-impact solutions for business needs.
  • Influence strategic decisions across multiple business areas by clearly communicating complex data in a way that is understandable and actionable for technical and non-technical stakeholders.

Required Qualifications
  • MS or PhD in Computer Science, Statistics, Mathematics, or related quantitative field
  • MS with 6+ years of industry experience or PhD with 3+
  • Entrepreneurial mindset with willingness to experiment, iterate quickly and move from hypothesis to implementation to develop critical business solutions.
  • Expert-level proficiency in Python, SQL, and distributed computing frameworks.
  • Deep understanding of machine learning algorithms, experiment design and statistical modeling and evaluation
  • Strong background in product analytics, classifiers, recommendation systems, and personalization algorithms
  • Experience putting machine learning solutions in production with modern ML platforms (e.g. AWS/GCP/Azure ML, MLflow, Kubeflow)
  • Familiarity with A/B testing, product metrics and user behavior analytics

Preferred Qualifications
  • Experience with graph representations/graph neural networks, real-time ML systems and/or matching algorithms.
  • Proficiency in big data technologies (e.g. Spark, Dask, Kafka, Airflow) and cloud architectures.
  • Background in fintech, wealth management, or financial advisory services with an understanding of the regulatory requirements in financial services.
  • Track record of publications in top-tier conferences or journals.
  • Understanding of marketplace dynamics and multi-sided platform optimization.
  • Experience with data monetization and building data products

What We Offer
  • A dynamic, team-centric and supportive environment in the heart of Kendall Square where your work has a direct impact on enhancing financial advisory services.
  • Competitive salary with performance-based bonuses.
  • Comprehensive benefits package including health, dental, and vision insurance, and retirement savings plan
  • Commuting is on us and we will pay for your monthly parking, T Pass or commuter rail pass. We also offer a corporate Bluebike membership.
  • Opportunities for professional growth and development within a rapidly growing company.
  • Weekly lunches catered to the office.
  • Fully stocked kitchen covering all of coffee, tea and snack needs.

Additional Information
  • We are only accepting applications from candidates in the Greater Boston area, as this is a hybrid role with 4 days a week in office.
  • The level of this position can be adjusted based on the candidate's experience.

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