Fractal Logo

Fractal

Senior Data Scientist

Posted 7 Days Ago
In-Office or Remote
2 Locations
110K-140K Annually
Senior level
In-Office or Remote
2 Locations
110K-140K Annually
Senior level
Lead hands-on delivery of agentic conversational AI solutions for banking IVR systems using Amazon Connect and Amazon Lex. Conduct experimentation, interaction-data analysis, model evaluation, intent and slot tuning, prompt development, and NLU performance optimization. Support LLM and GenAI capabilities, identify risks, and communicate findings and recommendations to leadership and project stakeholders.
The summary above was generated by AI

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Job Title: Senior Data Scientist
Role Overview

  • This is a hands-on, delivery-focused Senior Data Scientist role leading the design and development of advanced Agentic conversational AI solutions in the banking domain, with a primary focus on Connect AI Agents, Agentic Prompts, and intent/slot tuning built on Amazon Connect and Amazon Lex.
  • The role requires deep engagement with experimentation, data analysis, and NLU asset tuning to continuously improve conversational quality and intent/slot performance within established IVR solutions.
  • This is an execution-heavy position suited for someone who can ramp up quickly, contribute immediately, and operate with minimal oversight within an established delivery model.
  • Success in this role depends on strong analytical rigor, close collaboration with the onshore lead, and the ability to translate technical findings into clear recommendations for leadership and project stakeholders.

Key Responsibilities

  • Support end-to-end delivery of Agentic conversational AI capabilities for IVR solutions built on Amazon Connect and Amazon Lex
  • Run and interpret experiments related to intent recognition, slot-filling performance, utterance handling, and overall conversational quality
  • Perform hands-on analysis of interaction data, model outputs, and test results to identify issues and improvement opportunities
  • Tune intent descriptions, training data, prompts, and related NLU assets to improve performance
  • Work closely with the onshore lead to refine slot-filling approach, conversation behavior, and delivery priorities
  • Contribute to evaluation and implementation of LLM- and GenAI-related capabilities for NLU and intent understanding
  • Prepare clear summaries of findings, recommendations, and performance results for leadership and project stakeholders
  • Help drive execution against delivery timelines by identifying risks, resolving issues, and maintaining strong analytical rigor.

Required Qualifications

  • 5+ years of experience in data science, machine learning, NLP, or a related field
  • 2+ years of building GenAI solutions
  • Strong hands-on experience with analytics, experimentation, model evaluation, and performance tuning
  • Experience working on conversational AI, NLU, chatbot, virtual assistant, or IVR use cases
  • Strong familiarity with Amazon Connect and Amazon Lex, or highly comparable experience with similar conversational AI platforms
  • Exposure to LLM, GenAI, or modern NLP techniques relevant to intent understanding and conversational AI
  • Ability to ramp up quickly and contribute immediate value in a delivery-oriented environment
  • Strong written and verbal communication skills, including the ability to present work clearly to leadership and partner teams.

Preferred Qualifications

  • Experience tuning intent classification, slot-filling, fallback handling, or dialogue behavior in production environments
  • Strong Python and data analysis skills for experimentation, reporting, and model evaluation
  • Experience supporting prompt-based evaluation or LLM-assisted NLU workflows
  • Experience working in cross-functional delivery teams with onshore/offshore collaboration models.

Pay:

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 Fractal, 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: $110,000 - $140,000. In addition, you may be eligible for a discretionary bonus for the current performance period.

 

Benefits:As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of Employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.

 

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.


If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

HQ

Fractal New York, New York, USA Office

One World Trade Center, New York, NY, United States

Fractal New York, New York, USA Office

Suite 76J, One World Trade Center, , New York, New York, United States

Similar Jobs

11 Days Ago
Easy Apply
Remote
United States
Easy Apply
170K-200K Annually
Senior level
170K-200K Annually
Senior level
Artificial Intelligence • Fintech • Software • Travel
Develop and implement data science strategies for machine learning applications including lead scoring, churn modeling, pricing, personalization, and fraud detection. Own end-to-end initiatives spanning data analysis, feature engineering, model training, inference, and monitoring. Collaborate with engineering, infrastructure, analytics, and business teams to deliver measurable impact, improve data capabilities, and communicate findings to technical and non-technical stakeholders.
Top Skills: Machine LearningNumpyPandasPythonScikit-LearnSnowflakeSQLStatistical ModelingStreamlit
15 Days Ago
Remote
USA
179K-179K Annually
Senior level
179K-179K Annually
Senior level
Information Technology
Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, machine learning, NLP, LLM applications, and classifier implementation. Build growth metrics, monitoring pipelines, evaluation datasets, and AI trigger systems across search and Duck.ai. Analyze privacy-constrained data, deploy production-grade models, optimize SQL queries, and lead complex projects from scoping through production with minimal direction.
Top Skills: BigQueryClickhouseDruidLlmsMachine LearningNlpPower BIPythonRedshiftSQLTableau
5 Days Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
180K-250K Annually
Senior level
180K-250K Annually
Senior level
Fintech • Software • Financial Services
Own the reliability and quality of an AI copilot for trading platforms. Build evaluation frameworks, benchmarks, quality gates, monitoring, incident response, and model improvement loops. Partner with engineering and product on safe tool interactions, auditability, and user trust. Develop trading-domain expertise and measurement systems covering correctness, safety, latency, regression risk, and workflow performance.
Top Skills: Evaluation PipelinesLlm ApisModel ServingObservability And Telemetry ToolingPostgresReactReact NativeRustTraining PipelinesTypescript

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account