Senior Data Scientist

Posted 2 Days Ago
2 Locations
In-Office or Remote
110K-140K Annually
Senior level
Artificial Intelligence • Consulting
The Role
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.
Summary Generated by Built In

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!

Skills Required

  • 5+ years of experience in data science, machine learning, NLP, or a related field
  • 2+ years of experience building GenAI solutions
  • Hands-on experience with analytics, experimentation, model evaluation, and performance tuning
  • Experience with conversational AI, NLU, chatbot, virtual assistant, or IVR use cases
  • Strong familiarity with Amazon Connect and Amazon Lex, or comparable 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 presenting work clearly to leadership and partner teams
  • 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

Fractal Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.

  • Healthcare Strength — Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
  • Leave & Time Off Breadth — Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
  • Flexible Benefits — Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.

Fractal Insights

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The Company
HQ: New York, NY
5,262 Employees

What We Do

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.

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