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Cfa Data Science Jobs (NOW HIRING)

New York Life

Investment Data Analyst

Jersey City, NJ · Hybrid

Master's degree preferred in Finance, Economics, Data Science or a related field. * Minimum of 3 ... CFA Charter holder preferred * Expertise in coding languages such as Python, C#, or Java preferred

Inizio Partners

Data Analyst

Jersey City, NJ · On-site

Background in Finance, Investment, Actuarial Science or pursuing actuarial exams. * Good ... Professional certification Actuarial exams or CFA and FRM working in Insurance industry. Candidate ...

GAP Solutions, Inc

Cloud Data Engineer (50576)

Atlanta, GA · On-site

$112K - $134K/yr

Absent this, CFA cannot perform its mission. Duties and Responsibilities: * Working with a multi-disciplinary team of scientists, data engineers, developers, and data consumers in a fast-paced, Agile ...

PitchBook Data

Sr. Java Full Stack Engineer

Seattle, WA · On-site

$142K - $187K/yr

Collaborate with engineers, product managers, and data science partners in an Agile environment ... CFA exam stipend * Robust training programs on industry and soft skills * Employee assistance ...

GAP SOLUTIONS INC

Cloud Data Engineer (50576)

Atlanta, GA · On-site

$112K - $134K/yr

Absent this, CFA cannot perform its mission. Duties and Responsibilities: * Working with a multi-disciplinary team of scientists, data engineers, developers, and data consumers in a fast-paced, Agile ...

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How much do cfa data science jobs pay per year?

As of Sep 15, 2026, the average yearly pay for cfa data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a CFA Data Science?

A CFA Data Science job combines financial analysis with data science techniques to evaluate investments, manage risks, and optimize portfolio strategies. Professionals in this role use statistical modeling, machine learning, and programming languages like Python or R to analyze large financial datasets. They may work in asset management, investment banking, or financial consulting, using data-driven insights to support decision-making. This role requires both CFA-related knowledge in financial markets and strong technical skills in data analysis.

What are the key skills and qualifications needed to thrive in the CFA Data Science position?

Excelling as a Cfa Data Science professional requires a strong background in quantitative analysis, financial modeling, and data science, often supported by a CFA designation and a degree in statistics, finance, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization software, as well as experience with financial data platforms, is typically expected. Strong analytical thinking, attention to detail, and effective communication skills are valuable soft skills that set candidates apart. These abilities are critical for transforming complex financial data into insights that drive informed investment decisions and strategic business outcomes.

What are the main challenges faced by professionals in CFA Data Science roles?

Professionals in Cfa Data Science roles often deal with the complexity of integrating large volumes of financial data from various sources and ensuring its accuracy for analysis. Staying up to date with rapidly evolving financial regulations and emerging data science techniques can also present ongoing challenges. Additionally, translating technical analyses into clear, actionable insights for stakeholders who may not have a technical background requires strong communication skills. Overcoming these challenges is essential for successfully impacting investment strategies and business performance.

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Infographic showing various Cfa Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist - National Federal Tax Services

Atlanta, GA • On-site

Deloitte
Finance and Insurance • 10K+ employees
Learn more about Deloitteexternal

Full-time

Re-posted 19 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

Job description

Our Global Investment and Innovation Incentives ("Gi3") practice provides our clients a broad range of government credits and incentives ("C&I") services across more than 150 countries and regions worldwide. With over 1,000 practitioners, the Gi3 tax team is a national team of specialists dedicated to providing comprehensive tax C&I services.

If you are a technology visionary with a passion for transforming global tax business with digital technology, consider working with the Gi3 technology team. This is an exciting opportunity to support global execution of Deloitte's tax strategy as we shift from "doing digital" to "being digital" by reimagining how we engage with our clients, deliver our services, operate our business, and create value.

Work you'll do

We are seeking a Data Scientist with strong Generative AI (GenAI) and Natural Language Processing (NLP) skill to build and optimize LLM-powered prototypes and production-ready components.  You will design prompts and Retrieval-Augmented Generation (RAG) workflows, package models as APIs, and support cloud deployment while ensuring outputs are evaluated, monitored, and aligned to responsible AI expectations.  This role requires hand-on Python development, solid statistical modeling fundamentals, and the ability to communicate clearly across technical and non-technical stakeholders.   

  • Application Development: Build and optimize GenAI/NLP models and prototypes using modern framework e.g., OpenAI, Hugging Face). 
  • Prompt Engineering: Design, test and refine prompts to improve quality and reduce risk (e.g., hallucinations, bias, unsafe outputs).
  • RAG Workflows: Implement foundational Retrieval-Augmented Generation pipelines to enable context-aware applications. 
  • APIs and Cloud Development: Package models as APIs and support deployments on AWS (Amazon Web Services, Azure, or GCP (Google Cloud Platforms).
  • Validation and Monitoring: Develop evaluation approaches and monitor model outputs for reliability, performance drift, and compliance needs. 
  • Documentation and Communication: Produce clear and technical documentation and explain designs, tradeoffs, and results to cross-functional partners. 

Qualifications

Required:

  • Ability to perform job responsibilities within a hybrid work model that requires US Tax Processionals to co-locate in person 2-3 days per week
  • Limited immigration sponsorship may be available
  • Ability to travel 25% on average, based on the work you do and the clients and industries/sectors you serve.
  • Bachelor's Degree in Information Systems, Computer Science or related field required.
  • 3+ years of experience in data science / machine learning 
  • 1+ year hands-on building LLM/NLP solutions
  • Strong Python proficiency and hands-on experience with GenAI frameworks such as LangChain, OpenAI/GPT APIs and Hugging Face
  • Familiarity with software engineering best practices such as Git, CI/CD, automated testing. 
  • Experience with R, Python, SQL and basic cloud ML deployment on Azure, AWS or GCP.
  • One of the following active accreditations obtained, in process, or willing and able to obtain:
    • Licensed CPA in state of practice/primary office if eligible to sit for the CPA exam
    • If not CPA eligible, one of the following:
      • Licensed Attorney
      • Enrolled Agent
      • Certifications:
        • Professional Engineer
        • Project Management Professional (PMP)
        • Chartered Financial Advisor (CFA)
      • Technology Certifications:
        • CBAP - Certified Business Analysis Professional
        • Certified SAFe Lean Portfolio Manager
        • Certified SAFe Architect
        • Certified SAFe Agile Software Engineer
        • Certified SAFe Proudct Owner / Product Manager
        • Certified SAFe Agilist
        • Certified SAFe Advanced Scrum Master Professional Scrum Developer (PSD)
        • Certified SAFe Scrum Master
        • Certified SAFe DevOps Practitioner
        • Certified SAFe Practioner
        • Microsoft Certified Solutions Developer (MCSD)
        • Microsoft Certified Solutions Expert (MCSE)
        • Professional Scrum Product Owner (PSCPO) - SCRUM.org and Project Management Professional (PMP
        • Six Sigma (Green or Black Belt)
      • ITIL Certification:
        • Other: Vendor certification for management of implementations (Oracle, SAP, Thomson Reuters, etc.) or relevant industry certification such as Microsoft Certified Solutions Developer (MCSD), AWS (Amazon Web Services) or GCP (Google Cloud Platform) 

Preferred:

  • Experience fine-tuning LLMs and/or building conversational AI agents. 
  • Awareness of Responsible AI, privacy, security, and AI ethics considerations
  • Exposure to data engineering and/or MLOps (Machine Learning Operations) practices.
  • Excellent written and communication skills. 
  • Strong problem solving skills 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $84,600 to $141,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

nftstax

Qualifications:

Our Global Investment and Innovation Incentives ("Gi3") practice provides our clients a broad range of government credits and incentives ("C&I") services across more than 150 countries and regions worldwide. With over 1,000 practitioners, the Gi3 tax team is a national team of specialists dedicated to providing comprehensive tax C&I services.

If you are a technology visionary with a passion for transforming global tax business with digital technology, consider working with the Gi3 technology team. This is an exciting opportunity to support global execution of Deloitte's tax strategy as we shift from "doing digital" to "being digital" by reimagining how we engage with our clients, deliver our services, operate our business, and create value.

Work you'll do

We are seeking a Data Scientist with strong Generative AI (GenAI) and Natural Language Processing (NLP) skill to build and optimize LLM-powered prototypes and production-ready components.  You will design prompts and Retrieval-Augmented Generation (RAG) workflows, package models as APIs, and support cloud deployment while ensuring outputs are evaluated, monitored, and aligned to responsible AI expectations.  This role requires hand-on Python development, solid statistical modeling fundamentals, and the ability to communicate clearly across technical and non-technical stakeholders.   

  • Application Development: Build and optimize GenAI/NLP models and prototypes using modern framework e.g., OpenAI, Hugging Face). 
  • Prompt Engineering: Design, test and refine prompts to improve quality and reduce risk (e.g., hallucinations, bias, unsafe outputs).
  • RAG Workflows: Implement foundational Retrieval-Augmented Generation pipelines to enable context-aware applications. 
  • APIs and Cloud Development: Package models as APIs and support deployments on AWS (Amazon Web Services, Azure, or GCP (Google Cloud Platforms).
  • Validation and Monitoring: Develop evaluation approaches and monitor model outputs for reliability, performance drift, and compliance needs. 
  • Documentation and Communication: Produce clear and technical documentation and explain designs, tradeoffs, and results to cross-functional partners. 

Qualifications

Required:

  • Ability to perform job responsibilities within a hybrid work model that requires US Tax Processionals to co-locate in person 2-3 days per week
  • Limited immigration sponsorship may be available
  • Ability to travel 25% on average, based on the work you do and the clients and industries/sectors you serve.
  • Bachelor's Degree in Information Systems, Computer Science or related field required.
  • 3+ years of experience in data science / machine learning 
  • 1+ year hands-on building LLM/NLP solutions
  • Strong Python proficiency and hands-on experience with GenAI frameworks such as LangChain, OpenAI/GPT APIs and Hugging Face
  • Familiarity with software engineering best practices such as Git, CI/CD, automated testing. 
  • Experience with R, Python, SQL and basic cloud ML deployment on Azure, AWS or GCP.
  • One of the following active accreditations obtained, in process, or willing and able to obtain:
    • Licensed CPA in state of practice/primary office if eligible to sit for the CPA exam
    • If not CPA eligible, one of the following:
      • Licensed Attorney
      • Enrolled Agent
      • Certifications:
        • Professional Engineer
        • Project Management Professional (PMP)
        • Chartered Financial Advisor (CFA)
      • Technology Certifications:
        • CBAP - Certified Business Analysis Professional
        • Certified SAFe Lean Portfolio Manager
        • Certified SAFe Architect
        • Certified SAFe Agile Software Engineer
        • Certified SAFe Proudct Owner / Product Manager
        • Certified SAFe Agilist
        • Certified SAFe Advanced Scrum Master Professional Scrum Developer (PSD)
        • Certified SAFe Scrum Master
        • Certified SAFe DevOps Practitioner
        • Certified SAFe Practioner
        • Microsoft Certified Solutions Developer (MCSD)
        • Microsoft Certified Solutions Expert (MCSE)
        • Professional Scrum Product Owner (PSCPO) - SCRUM.org and Project Management Professional (PMP
        • Six Sigma (Green or Black Belt)
      • ITIL Certification:
        • Other: Vendor certification for management of implementations (Oracle, SAP, Thomson Reuters, etc.) or relevant industry certification such as Microsoft Certified Solutions Developer (MCSD), AWS (Amazon Web Services) or GCP (Google Cloud Platform) 

Preferred:

  • Experience fine-tuning LLMs and/or building conversational AI agents. 
  • Awareness of Responsible AI, privacy, security, and AI ethics considerations
  • Exposure to data engineering and/or MLOps (Machine Learning Operations) practices.
  • Excellent written and communication skills. 
  • Strong problem solving skills 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $84,600 to $141,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

nftstax

Education:Bachelor's DegreeEmployment Type:

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