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Senior Data Scientist Machine Learning Jobs in Raleigh, NC

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

This role sits at the intersection of AI, analytics, data science, and business strategy ... Experience deploying or operationalizing machine learning models in a production environment.

AstraZeneca

Agentic AI Scientist

Durham, NC

Min Bachelors degree in computer science, data science, artificial intelligence, machine learning or related fields. At least 3 years of experience in Deep Learning and ML Excellent coding skills in ...

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

This role sits at the intersection of AI, analytics, data science, and business strategy ... Experience deploying or operationalizing machine learning models in a production environment.

AstraZeneca

Agentic AI Scientist

Durham, NC · On-site

Min Bachelors degree in computer science, data science, artificial intelligence, machine learning or related fields. At least 3 years of experience in Deep Learning and ML Excellent coding skills in ...

AstraZeneca

Agentic AI Scientist

Durham, NC

Min Bachelors degree in computer science, data science, artificial intelligence, machine learning or related fields. * At least 3 years of experience in Deep Learning and ML * Excellent coding skills ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

Machine Learning and AI Solutions : Lead the development and implementation of machine learning ... D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business ...

AstraZeneca

Agentic AI Scientist

Durham, NC · On-site

Min Bachelor's degree in computer science, data science, artificial intelligence, machine learning or related fields. * At least 3 years of experience in Deep Learning and ML * Excellent coding ...

Sennos

Data Engineer

Durham, NC · On-site

$110.60K - $132.90K/yr

... machine learning, and product capabilities. Working closely with senior data engineering leadership ... Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

Machine Learning and AI Solutions : Lead the development and implementation of machine learning ... D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business ...

Vadum, Inc.

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

Process, transform, visualize, and analyze data to guide the design and training processes of ... Generate content for status meetings with customers as a senior technical contributor. * Research ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

Process, transform, visualize, and analyze data to guide the design and training processes of ... Generate content for status meetings with customers as a senior technical contributor. * Research ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC

Process, transform, visualize, and analyze data to guide the design and training processes of ... Generate content for status meetings with customers as a senior technical contributor. * Research ...

Truist

Data Scientist II

Raleigh, NC

... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

Q2

Machine Learning Engineer

Cary, NC · On-site

As a Machine Learning Engineer, you will help build and operate production systems that power our ... You'll work closely with data scientists and engineers to bring models into production ensuring ...

Q2 Software, Inc.

Machine Learning Engineer

Cary, NC · On-site

As a Machine Learning Engineer, you will help build and operate production systems that power our ... You'll work closely with data scientists and engineers to bring models into production ensuring ...

RELX Group plc

Manager, Data Science - Agentic AI

Raleigh, NC · On-site

$115.40K - $192.30K/yr

Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high ... Staying current with the latest AI and machine learning trends and technologies * Mentoring junior ...

RELX

Manager, Data Science - Agentic AI

Raleigh, NC

$115.40K - $192.30K/yr

Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high ... Staying current with the latest AI and machine learning trends and technologies * Mentoring junior ...

LexisNexis

Manager, Data Science - Agentic AI

Raleigh, NC · On-site

$115.40K - $192.30K/yr

Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high ... Staying current with the latest AI and machine learning trends and technologies * Mentoring junior ...

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All JobsSenior Data Scientist Machine Learning JobsSenior Data Scientist Machine Learning Jobs in Raleigh, NC

Senior Data Scientist Machine Learning information

See Raleigh, NC salary details

$40.3K

$138.5K

$195.4K

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

As of May 29, 2026, the average yearly pay for senior data scientist machine learning in Raleigh, NC is $138,483.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,200.00 and $161,900.00 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.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Raleigh, NC? The most popular types of Data Scientist Machine Learning jobs in Raleigh, NC are:
What are popular job titles related to Senior Data Scientist Machine Learning jobs in Raleigh, NC? For Senior Data Scientist Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Senior Data Scientist Machine Learning jobs in Raleigh, NC look for? The top searched job categories for Senior Data Scientist Machine Learning jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Senior Data Scientist Machine Learning jobs? Cities near Raleigh, NC with the most Senior Data Scientist Machine Learning job openings:
Senior Data Scientist Machine Learning jobs near you

Senior Data Analyst

IONNA LLC

Raleigh, NC • On-site

$110/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago

Job description

Reports To: Chief of Staff
This role requires a full-time onsite presence in Durham, NC
Target Base Range: $110 - 120k (Final compensation commensurate with experience and qualifications)
Please note: We are only able to consider candidates who are U.S. citizens or lawful permanent residents (green card holders) and who do not require current or future visa sponsorship of any sort.
About the Role
We are seeking a highly skilled Senior Data Analyst with a strong foundation in data science, statistical modeling, and advanced analytics and AI platforms to drive data-informed decision-making across the organization. This role sits at the intersection of AI, analytics, data science, and business strategy-transforming complex data into actionable insights, predictive solutions, and measurable outcomes.
The ideal candidate is comfortable working with large, complex datasets, building advanced analytical models, and communicating findings clearly to both technical and non-technical stakeholders.
Key Responsibilities
Data Analytics & Insights
  • Analyze large, complex, and multi-source datasets to uncover trends, patterns, and actionable insights.
  • Translate analytical findings into clear recommendations that influence product strategy, operations, and executive decision-making.
  • Develop data-driven forecasts, simulations, and scenario analyses to support strategic planning.
  • Apply statistical techniques (e.g., regression, hypothesis testing, time-series analysis, clustering) to solve complex business problems.

Data Engineering & Tooling (Analytics-Focused)
  • Develop AI models and datasets to inform business decisions, correlate data and drive decision-making.
  • Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis.
  • Partner with data engineering teams to ensure high-quality, well-structured, and reliable datasets.
  • Maintain internal utilization models and support continual enhancement and development of utilization models.

Leadership & Collaboration
  • Act as a thought leader and mentor for team members and business partners.
  • Collaborate closely with stakeholders across product, finance, operations, marketing, and quality.
  • Help define best practices for analytics, experimentation, and data science across the organization.

Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field (Master's degree preferred).
  • A minimum of 5 years of experience in data analytics, data science, or a related analytical role.
  • Strong knowledge of statistical analysis, modeling techniques, and data science methodologies.
  • Experience working with large datasets and modern data platforms (e.g., cloud data warehouses, distributed systems).
  • Proven ability to translate data insights into business impact.
  • Excellent communication and stakeholder management skills.

Preferred / Nice-to-Have Qualifications
  • Experience deploying or operationalizing machine learning models in a production environment.
  • Familiarity with A/B testing frameworks and experimental design.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and modern analytics stacks.
  • Knowledge of data governance, data quality, and privacy best practices.
  • Prior experience in EV Charging, consumer behavior, technical quality analytics.

What Success Looks Like in This Role
  • You own the pursuit of the truth in everything you do.
  • Analytical insights consistently influence strategic and operational decisions with clarity and conviction.
  • Predictive models and advanced analyses improve forecasting accuracy and business outcomes.
  • Stakeholders trust and rely on analytics outputs for critical decisions.
  • Analytics processes are scalable, efficient, and reproducible.

IONNA is committed to fair and equitable compensation practices through a competitive base salary, as well as offering bonus programs, comprehensive benefits such as medical, dental, vision, life, 401(K), and paid holidays. Actual base salaries are based on several factors unique to each candidate, including but not limited to skill set, experience, certifications, and specific work location.
We are committed to an inclusive and diverse team. IONNA is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.

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