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Senior Data Scientist Machine Learning Jobs in Madison, WI

Senior Data Scientist What you will do Let's do this! Let's change the world! In this vital role ... Design, develop, and deploy first principles, machine learning, and hybrid models to optimize ...

Senior Data Scientist What you will do Let's do this! Let's change the world! In this vital role ... Design, develop, and deploy first principles, machine learning, and hybrid models to optimize ...

Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the ...

Senior Data Scientist What you will do Let's do this! Let's change the world! In this vital role ... Design, develop, and deploy first principles, machine learning, and hybrid models to optimize ...

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash / Resource Manager / Innovizant LLC Phone : 630-685 ...

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash | Resource Manager | Innovizant LLC Phone : 630-685 ...

... machine learning, and data mining * Organizes and automates project steps for data preparation and analysis Department: School of Medicine and Public Health, Population Health Institute The UW ...

Machine Learning Tutor

Madison, WI ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Data Scientist

Madison, WI ยท On-site

$147K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... Designing or implementing artificial intelligence and machine learning models to analyze or ...

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Senior Data Scientist Machine Learning information

See Madison, WI salary details

$41.8K

$143.5K

$202.5K

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

As of Aug 5, 2026, the average yearly pay for senior data scientist machine learning in Madison, WI is $143,547.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,400.00 and $167,800.00 per year, depending on experience, location, and employer.

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?

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.

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.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Madison, WI? The most popular types of Data Scientist Machine Learning jobs in Madison, WI are:
What cities near Madison, WI are hiring for Senior Data Scientist Machine Learning jobs? Cities near Madison, WI with the most Senior Data Scientist Machine Learning job openings:

Senior Data Scientist

Amgen

Madison, WI โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago


Job description

Career CategoryOperationsJob Description

Join Amgen's Mission of Serving Patients

At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Senior Data Scientist

What you will do

Let's do this! Let's change the world!

In this vital role you will be responsible for developing, maintaining, and deploying first principles and/or machine learning models for biopharmaceutical processes, including but not limited to, cell culture, biologics formulation development, and fill/finish processes. You will be responsible for model design, selection of underlying technologies and infrastructure, and ensuring successful application of models in Process Development.

The ideal candidate will have a strong background in chemical engineering or mechanical engineering as well as expertise in data science to tackle challenging crossfunctional projects. Fundamental understanding of bioprocesses as well as first principles (i.e., transport phenomena, fluid mechanics, reaction kinetics) is preferred. The candidate will be part of cross-functional project teams with frequent interactions with Amgen's SMEs and stakeholders as well as document and communicate the underlying technical basis of the models for use by engineers and scientists.

  • Design, develop, and deploy first principles, machine learning, and hybrid models to optimize biopharmaceutical processes.

  • Integrate modeling software with connectivity to real-time equipment data to enable digital twins for improved process performance and understanding.

  • Build and maintain robust data pipelines and agentic workflows to streamline the effort required to generate impact-level insights.

  • Collaborate with cross-functional teams to translate scientific challenges into data-driven solutions and ensure seamless model integration into process development workflows.

  • Champion best practices in software development, including version control, testing, and continuous integration to ensure model reliability, scalability, and reproducibility.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The Data Sciences professional we seek is an individual with these qualifications.

Basic Qualifications:

  • High school diploma / GED and 10 years of Data Sciences experience OR

  • Associate's degree and 8 years of Data Sciences experience OR

  • Bachelor's degree and 4 years of Data Sciences experience OR

  • Master's degree and 2 years of Data Sciences experience OR

  • Doctorate degree

Preferred Qualifications:

  • Ph.D. in Chemical Engineering, Mechanical Engineering, Applied Math, or related field

  • Strong background in mechanistic modeling and first principles (e.g., transport phenomena, fluid mechanics, reaction kinetics)

  • Experience in applying AI and ML algorithms to produce data-driven solutions to engineering problems

  • Track record of leading modeling and data science projects

  • 3+ yrs of coding experience in Python

  • Understanding of biopharmaceuticals process and related unit operations

  • Experience using Git for version control

  • Familiarity with DevOps and software best practices (i.e., version control, continuous integration, test driven development)

  • Experience with data engineering & visualization tools (e.g., Databricks, Spotfire) as well as cloud computing and data storage systems such as AWS

  • Experience leveraging AI tools to generate agentic solutions for scientific workflows

  • Independent, selfmotivated, organized, and able to multitask in timesensitive environments

  • Excellent communication skills (written and verbal)

  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

What you can expect from us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts

  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan

  • Stock-based long-term incentives

  • Award-winning time-off plans

  • Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.

Apply now and make a lasting impact with the Amgen team.

careers.amgen.com

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Sponsorship

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

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Salary Range

134,168.25USD -181,521.75USD