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Senior Economics Data Science Jobs in Raleigh, NC

LexisNexis Risk Solutions

Lead Data Scientist

Raleigh, NC · On-site

$104.90 - $174.70/hr

Working with product leaders to apply data science solutions.* Evaluating and creating new ... Have substantial experience in a senior data scientist role* Have experience in leading complex ...

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

Driving best practices across our data science functions * Setting strategy and team direction ... Have substantial experience in a senior data scientist role * Have experience in leading complex ...

RELX

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

Driving best practices across our data science functions * Setting strategy and team direction ... Have substantial experience in a senior data scientist role * Have experience in leading complex ...

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

Driving best practices across our data science functions * Setting strategy and team direction ... Have substantial experience in a senior data scientist role * Have experience in leading complex ...

RELX Group plc

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

Driving best practices across our data science functions * Setting strategy and team direction ... Have substantial experience in a senior data scientist role * Have experience in leading complex ...

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

Driving best practices across our data science functions * Setting strategy and team direction ... Have substantial experience in a senior data scientist role * Have experience in leading complex ...

Epic Games

Senior Data Scientist

Cary, NC · On-site

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 ...

GRAIL

Senior Data Engineer #4885

Durham, NC · On-site

$102K - $139K/yr

We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are ... For more information, please visit grail.com As a Senior Data Engineer on the Operational ...

GRAIL

Senior Data Engineer #4885

Durham, NC · On-site

$102K - $139K/yr

We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are ... For more information, please visit grail.com As a Senior Data Engineer on the Operational ...

GRAIL

Senior Data Engineer #4885

Durham, NC · On-site

$102K - $139K/yr

We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are ... For more information, please visit grail.com As a Senior Data Engineer on the Operational ...

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Showing results 41-60

All JobsEconomics Data Science JobsSenior Economics Data Science JobsSenior Economics Data Science Jobs in Raleigh, NC

Senior Economics Data Science information

See Raleigh, NC salary details

$32.1K

$104.6K

$145.3K

How much do senior economics data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior economics data science in Raleigh, NC is $104,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $113,200.00 per year, depending on experience, location, and employer.

What is a senior economics data scientist?

Senior Economics Data Scientists are experienced professionals who use advanced data analysis, statistical modeling, and economic theory to solve complex business and policy problems. They collect, process, and interpret large datasets to provide actionable insights, forecast trends, and inform decision-making at a strategic level. Typically, they work closely with interdisciplinary teams, lead research projects, and may mentor junior analysts. Their work often spans sectors such as finance, government, technology, and consulting, where data-driven economic insights are crucial.

What are the typical collaboration opportunities for a senior economics data scientist within a cross-functional team?

As a Senior Economics Data Science professional, you’ll frequently collaborate with economists, product managers, engineers, and business analysts. Your role will involve designing experiments, building predictive models, and translating complex economic insights into actionable strategies for stakeholders. You’ll often participate in cross-functional meetings to align on objectives, share data-driven findings, and help guide product or business decisions. This collaborative environment not only strengthens the impact of your work but also provides exposure to diverse perspectives and opportunities for career growth.

What are the key skills and qualifications needed to thrive as a senior economics data scientist, and why are they important?

To thrive as a Senior Economics Data Scientist, you need a strong background in economics, statistics, and data analysis, typically supported by an advanced degree (e.g., MS or PhD) in economics, statistics, or a related field. Proficiency with programming languages such as Python or R, experience with statistical modeling tools, and familiarity with databases like SQL are essential, along with knowledge of machine learning frameworks. Strong communication, problem-solving abilities, and collaboration skills help translate complex data insights into actionable business recommendations. These skills are crucial for driving data-driven decision-making and delivering impactful economic analysis in a business environment.

What is the difference between Senior Economics Data Science vs Data Analyst?

AspectSenior Economics Data ScienceData Analyst
Required CredentialsMaster's or PhD in Economics, Data Science, or related fieldBachelor's degree in Economics, Statistics, or related field
Work EnvironmentAdvanced analytics, modeling, economic research, cross-functional teamsData collection, reporting, basic analysis, business support
Employer & Industry UsageFinancial services, consulting, tech, government agenciesRetail, marketing, healthcare, finance

Senior Economics Data Science roles focus on complex economic modeling, predictive analytics, and strategic insights, often requiring advanced degrees. Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles work with data, Senior Economics Data Scientists engage in more sophisticated modeling and economic research, whereas Data Analysts focus on data interpretation and reporting.

What cities near Raleigh, NC are hiring for Senior Economics Data Science jobs?

Cities near Raleigh, NC with the most Senior Economics Data Science job openings:

Senior Economics Data Science jobs near you

Senior Data Scientist

Ruri Software Technologies LLC

Raleigh, NC • On-site

Full-time

Re-posted 3 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

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