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Full Time Cfa Data Science Jobs in Raleigh, NC (NOW HIRING)

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying ...

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying ...

Chief of Staff This role requires a full-time onsite presence in Durham, NC Target Base Range: $110 ... This role sits at the intersection of AI, analytics, data science, and business strategy ...

Chief of Staff This role requires a full-time onsite presence in Durham, NC Target Base Range: $110 ... This role sits at the intersection of AI, analytics, data science, and business strategy ...

Chief of Staff This role requires a full-time onsite presence in Durham, NC Target Base Range: $110 ... This role sits at the intersection of AI, analytics, data science, and business strategy ...

Data Architect

Apex, NC

$110.70K - $205.60K/yr

Exposure to analytics, machinelearning frameworks, or data science concepts. * A background designing or implementing data governance processes. Compensation: For this full-time position working at ...

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Showing results 1-20

Full Time Cfa Data Science information

See Raleigh, NC salary details

$40.3K

$138.5K

$195.4K

How much do full time cfa data science jobs pay per year?

As of May 31, 2026, the average yearly pay for full time cfa data science 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 is the difference between Full Time Cfa Data Science vs Full Time Cfa Quantitative Analyst?

AspectFull Time Cfa Data ScienceFull Time Cfa Quantitative Analyst
CredentialsCFA certification, data science skills, programming knowledgeCFA certification, quantitative modeling, financial analysis
Work EnvironmentData analysis, machine learning, statistical modeling in financeFinancial modeling, risk assessment, investment strategies
Industry UsageFinance firms, hedge funds, asset managementInvestment banks, asset management, hedge funds

Both roles often require CFA certification and a strong understanding of finance. Data Science positions focus on analyzing large datasets and developing predictive models, while Quantitative Analysts primarily build financial models and perform risk analysis. The choice depends on whether you prefer data-driven insights or financial modeling within the finance industry.

What cities near Raleigh, NC are hiring for Full Time Cfa Data Science jobs? Cities near Raleigh, NC with the most Full Time Cfa Data Science job openings:
Infographic showing various Full Time Cfa Data Science job openings in Raleigh, NC as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $138,483 per year, or $66.6 per hour.
Data Science Manager - AI Trainer

Data Science Manager - AI Trainer

DataAnnotation

Raleigh, NC • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr