Senior Data Scientist
Fractal Analytics
New York; New JerseyPosted 2 days agoDiscoveredMatch locked
Full time2+ years exp
About the role
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!
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Not included in the source posting: about the role, benefits.
Skills
artificial-intelligencegenerative-aillmnlpmachine-learningpython
Who can apply
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