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Sr Data Scientist Jobs in Raleigh, NC (NOW HIRING)

Sr. Data Scientist The team + the role Pendo's GTM Intelligence Team turns data into measurable outcomes across Sales, Marketing, and Customer Engineering. We combine analysis, ML models, and ...

As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead large complex data science projects from exploration to deployment. You will help build and operate ...

As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead large complex data science projects from exploration to deployment. You will help build and operate ...

They are seeking an experienced Senior Data Scientist to join their high-performing team in Raleigh, North Carolina. This organization is a digital pioneer, dedicated to enhancing global professional ...

They are seeking a Senior Data Scientist to lead AI and machine learning model development, analyze large datasets, and mentor junior team members. Responsibilities : • Working closely with other ...

They are seeking a Senior Data Scientist to lead AI and machine learning model development, analyze large datasets, and mentor junior team members. Responsibilities : • Working closely with other ...

Title: Sr. Data Scientist II Location: Raleigh, NC Duration: Long Term Rate: W2 Only locals-F2F interview must Description: * Lead experimentation and model development for AI/ML solutions in legal ...

The Senior Data Scientist will work in a cross-functional team environment under the direction of the Ecosystem Director of Analytics. In addition to other responsibilities, this position will ...

What You'll Do Epic Games is looking for a Senior Data Scientist to support the meta-progression systems area. You'll apply mixed methods to own the end-to-end life cycle of creating data assets ...

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

About the Role As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. You will work closely with other data scientists and engineers to design ...

About the Role As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. You will work closely with other data scientists and engineers to design ...

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

About the Role As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. You will work closely with other data scientists and engineers to design ...

We are seeking a Senior Data Scientist II to help lead the design and validation of Agentic AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why ...

Senior Data Scientist II

Raleigh, NC · On-site

$125K - $209K/yr

We are seeking a Senior Data Scientist II to help lead the design and validation of Agentic AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why ...

... for a Senior Data Scientist II with deep expertise in Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI systems, combined with strong software-engineering fundamentals and ...

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Showing results 1-20

Sr Data Scientist information

See Raleigh, NC salary details

$40.3K

$138.5K

$195.4K

How much do sr data scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for sr data scientist in Raleigh, NC is $138,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,200.00 and $161,800.00 per year, depending on experience, location, and employer.

What does a Sr Data Scientist do?

A Sr Data Scientist is responsible for analyzing complex data sets to extract meaningful insights and guide business decision-making. They design and implement advanced machine learning models, lead data-driven projects, and collaborate with cross-functional teams. In addition to technical tasks, Sr Data Scientists often mentor junior team members and play a key role in setting data strategy within the organization.

What are the key skills and qualifications needed to thrive as a Sr Data Scientist?

To thrive as a Sr Data Scientist, you need advanced knowledge of statistics, machine learning, and data analysis, typically backed by a degree in a quantitative field and several years of relevant experience. Expertise in programming languages like Python or R, experience with big data tools (e.g., Spark, Hadoop), and familiarity with cloud platforms or relevant certifications are commonly required. Strong problem-solving abilities, effective communication, and the ability to lead and mentor teams set standout professionals apart. These skills ensure that Sr Data Scientists can extract actionable insights from complex data, drive impactful projects, and support organizational decision-making.

How does a Sr Data Scientist typically collaborate with cross-functional teams within an organization?

A Sr Data Scientist often works closely with product managers, engineers, and business stakeholders to define project goals and translate business needs into analytical solutions. They play a key role in guiding junior data scientists and sharing insights with non-technical team members through clear communication and data visualization. Collaboration is integral, as projects frequently require input from different departments to ensure that data-driven solutions align with overall business strategies and technical feasibility. This cross-functional teamwork helps drive impactful results and fosters a culture of data-informed decision making.

What is the difference between Sr Data Scientist vs Data Analyst?

AspectSr Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Data Science, Statistics, or related fields; experience with machine learningBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL
Work EnvironmentCollaborates with data science teams, develops models, and interprets complex dataPrepares reports, visualizes data, and supports decision-making
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and smaller organizations

The main difference between a Sr Data Scientist and a Data Analyst lies in their responsibilities and skill levels. Sr Data Scientists focus on building advanced models and algorithms, often requiring more technical expertise and experience with machine learning. Data Analysts primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are essential but serve different functions within data teams.

What are popular job titles related to Sr Data Scientist jobs in Raleigh, NC?

For Sr Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:

What cities near Raleigh, NC are hiring for Sr Data Scientist jobs?

Cities near Raleigh, NC with the most Sr Data Scientist job openings:

Infographic showing various Sr Data Scientist job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $138,475 per year, or $66.6 per hour.

Full-time

Re-posted 14 days ago


Job description

Job Title: Senior Data Scientist
Location :Hybrid (3 days in office) - Raliegh, NC
Experience: 6 to 8 yrs
Job Description:
The Senior Data Scientist will coordinate complex cloud and artificial intelligence initiatives that leverage large language models and advanced machine learning within a hybrid work model. The role will orchestrate projects across AWS, GCP, or Azure environments, ensuring reliable Python based solutions that apply frameworks such as Keras, spaCy, and PyTorch to deliver measurable value for clients and communities.
Required Skills: Python, PyTorch, Machine Learning, Prompt Engineering, Large Language Models, AWS / GCP / Azure Cloud
Responsibilities: Develop and implement LLM based applications tailored for in house legal needs, ensuring they align with Cognizants commitment to excellence and innovation Evaluate and maintain our data assets and training evaluation datasets, ensuring they meet the highest standards of integrity and quality. Design and build pipelines for preprocessing, annotating, and managing legal document datasets, fostering a customer centric mindset. Collaborate with legal experts to understand requirements and ensure models meet domain specific needs, working as one team. Conduct experiments and evaluate model performance to drive continuous improvements, raising the bar in all deliverables. Evaluate AI ML and GenAI outcomes, both human and automated, to ensure accuracy, reliability, and alignment with business objectives. Interface with other technical personnel or team members to finalize requirements, demonstrating ownership of outcomes. Work closely with other development team members to understand complex product requirements and translate them into software designs, ensuring ethical choices in all actions. Successfully implement development processes, coding best practices, and code reviews for production environments, embodying Cognizant s values in every task. Strong hands on experience and foundations in machine learning, including dimensionality reduction, clustering, embeddings, and sequence classification algorithms. Experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers. Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERT. Practical experience with large language models, prompt engineering, fine tuning, and benchmarking using frameworks such as LangChain and LlamaIndex. Strong Python background. Knowledge of AWS, GCP, Azure, or other cloud platforms. Understanding of data modelling principles and complex data models. Proficiency with relational and NoSQL databases as well as vector stores e.g Postgres, Elasticsearch OpenSearch, ChromaDB. Knowledge of Scala, Spark, Ray, or other distributed computing systems is highly preferred. Knowledge of API development, containerization, and machine learning deployment is highly preferred. Experience with ML Ops AI Ops is highly preferred. nal environments where programs span different regions, cultures, and regulatory contexts within a day shift structure
Years of Experience: 8.00 Years of Experience
Regards
Surya
Surya@rurisoft.com