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Fiddler Ai Jobs (NOW HIRING)

Soteria Reinsurance Ltd.

$140 - $190/hr

Senior Data Scientist - Applied AI, NLP, and LLM Solutions Note: Fidelity will not provide ... as Fiddler. The Value You Deliver * Lead the data science and model development components of ...

Atome

Mobile Game QA Analyst (contract)

Santa Clara, CA · On-site

$58 - $80/hr

... AI-driven workflows. Key Responsibilities * Execute functional, regression, integration, sanity ... Utilize network sniffing tools (e.g., Charles Proxy, Fiddler) to inspect client-server API payloads ...

New

State Street

Data Engineering and Development VP

Quincy, MA · On-site

$189K - $243K/yr

... Fiddler and Postman for API development and debugging * Deep understanding of fund accounting ... AI/ML and data engineering, with a strong foundation in enterprise-scale solution development ...

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Fiddler Ai information

What is Fiddler AI?

Fiddler AI is a company that specializes in providing tools and platforms for model performance management, explainability, and monitoring of artificial intelligence (AI) and machine learning (ML) models. Their solutions help organizations ensure that their AI systems are transparent, reliable, and compliant by offering insights into how models make decisions, detecting biases, and monitoring for data drift and model degradation. Fiddler AI’s platform is widely used by businesses looking to build trustworthy and accountable AI systems, particularly in regulated industries such as finance, healthcare, and insurance.

What skills and qualifications are needed to thrive as a Fiddler AI engineer?

To thrive as a Fiddler AI Engineer, you need a strong background in machine learning, data science, and model explainability, often supported by a degree in computer science or a related field. Familiarity with tools like Fiddler AI's Explainable AI platform, Python, and cloud computing systems is typically required. Excellent analytical thinking, problem-solving, and communication skills help you interpret model results and share insights with diverse stakeholders. These competencies are crucial for building trustworthy AI systems, ensuring transparency, and driving actionable business decisions.

How does a role at Fiddler AI collaborate with cross-functional teams to deliver explainable AI solutions?

At Fiddler AI, professionals often work closely with data scientists, software engineers, and product managers to develop and deploy explainable AI solutions. Collaboration usually involves regular meetings to align on project goals, sharing insights on model behavior, and integrating feedback from stakeholders. Team members are encouraged to communicate openly and work together to address technical challenges, ensure model transparency, and meet client requirements. This cross-functional approach fosters learning and innovation, while also ensuring that solutions are robust and user-centric.

What is the difference between Fiddler Ai vs Data Analyst?

AspectFiddler AiData Analyst
Required CredentialsTypically no formal certifications required, but knowledge of AI tools is beneficialBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentTech companies, AI-focused firms, or software development teamsBusiness, finance, healthcare, and various industries analyzing data for insights
Employer & Industry UsageUsed by AI and software companies to develop and test AI modelsEmployed across industries to interpret data, generate reports, and support decision-making

While Fiddler Ai focuses on AI model testing and validation, Data Analysts primarily interpret data to inform business decisions. Both roles require analytical skills, but Fiddler Ai specialists are more involved with AI model performance, whereas Data Analysts focus on data interpretation and reporting.

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Fiddler Ai jobs near you
Infographic showing various Fiddler Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Senior Data Scientist

Fidelity Investments

Westlake, TX • On-site

Full-time

Re-posted 17 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 273 frontline employees who took The Breakroom Quiz

16th of 152 rated financial services

Job description


Senior Data Scientist - Applied AI, NLP, and LLM Solutions
Note: Fidelity will not provide immigration sponsorship for this position
Fidelity Workplace Investing is seeking hands-on, builder-oriented Senior Data Scientists with experience in applied AI, natural language processing, large language models, machine learning, and knowledge graph technologies. This position will be based full time in either Westlake, TX or Merrimack, NH.
The Purpose of Your Role
This individual will lead high-profile applied data science and artificial intelligence initiatives across Workplace Investing, working closely with Technology, Product Management, AI/ML Engineering, and others. The role will focus on developing and evaluating AI-based solutions using natural language processing (NLP), large language models (LLM), machine learning (ML), knowledge graphs, agentic AI patterns, and other advanced or emerging techniques. Key assignments may include document processing and information extraction, schema mapping, enterprise assistants, recommender systems, and anomaly detection.
The successful candidate must be comfortable operating in a fast-paced and sometimes ambiguous environment working with current and emerging AI technologies. They will be expected to gather and analyze data from multiple structured and unstructured data sources, develop reliable models and evaluation frameworks, interpret and clearly communicate findings to technical and business audiences. They will support a broad range of applied AI initiatives with the highest degree of quality, partner effectively with engineering teams to move solutions into production, and thrive in a high-performing, collaborative work environment. The ideal candidate combines strong data science fundamentals with product instincts, technical curiosity, and a track record of delivering measurable business impact.
The Skills You Bring
  • PhD in Computer Science, Information Science, Statistics, or a related STEM discipline with focus on AI, machine learning, natural language processing, deep learning, knowledge graphs, or related methods; OR a Master's Degree in a related field with 3 or more years relevant professional experience
  • Strong technical foundation in machine learning and statistical modeling, with deeper experience in one or more applied AI areas such as natural language processing, large language models, deep learning, knowledge graphs, or related methods.
  • Strong Python and SQL programming skills with demonstrated proficiency in data extraction, data engineering, exploratory analysis, feature engineering, data modeling, pipeline automation, and model evaluation.

  • Solid verbal communication, presentation, and technical writing skills with an ability to explain complex data science, statistics, and computer science concepts clearly to nontechnical audiences.
  • Experience or working knowledge in one or more applied AI areas such as information retrieval, question answering, chatbot evaluation, retrieval-augmented generation, or agentic AI frameworks.
  • Exposure to intelligent document processing use cases, which may include document classification, OCR, key-value extraction, signature or seal detection, annotation strategy and dataset creation, and evaluation of extraction quality.
  • Working knowledge of embedding models, vector representations, semantic similarity clustering, or dimensionality reduction techniques such as t-SNE or UMAP.
  • Experience in one or more predictive modeling areas such as recommendation systems, ranking models, ensemble methods, anomaly detection, statistical process control, time-series monitoring, threshold strategies, or alert-quality evaluation.
  • Experience designing or contributing to AI/ML evaluation and monitoring frameworks, including benchmark datasets, labeled and synthetic test data, model and prompt comparison, precision/recall analysis, error analysis, latency assessment, cost-quality tradeoff analysis, and production monitoring with tools such as Fiddler.

The Value You Deliver
  • Lead the data science and model development components of projects involving large language models, natural language processing, knowledge graphs, and related applied techniques.
  • Design, build, and deploy applied AI solutions across NLP, LLMs, document processing, schema mapping, recommendation, and anomaly detection use cases.
  • Lead data analysis with diverse scope and complex business and technical challenges
  • Develop best practices for data science, considering the full analytical lifecycle
  • Ensure the delivery of high-quality, trustworthy data science by developing guidelines and rigorous evaluation frameworks for AI/ML solutions.
  • Implement new technologies in a production environment with product, IT, and data engineering teams
  • Present reports and findings to senior-level technical and nontechnical audiences

How Your Work Impacts the Organization
As a data scientist in Fidelity Workplace Investing, you will contribute to advancing the analytics and data science capability for a variety of employee benefit products and will take the organization to the next level.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Data Analytics and Insights
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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