Data Scientist
Florham Park, United States · Full-time
- Posted 2w ago
- From Incedo’s careers page
- Location
- Florham Park, United States
- Type
- Full-time
- Level
- Lead
- Experience
- 5+ years
- Department
- Data and Analytics
Opens the listing on incedoinc.com
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About the role
Company Overview:
Incedo is a global AI and data transformation specialist empowering companies to realize sustainable business impact from their digital investments by delivering ROI from AI@Scale.
As a long-term partner for strategy to execution, we operate at the intersection of business and technology. Our integrated services and platforms are built on the foundation of AI & Data, digital engineering, and operations transformation, bringing deep domain expertise and full stack capabilities together.
With over 4,000 people in the US, Canada, Latin America and India and a large, diverse portfolio of Fortune 500 enterprises and fast-growing clients worldwide, we work across banking & payments, wealth management, telecom, hi-tech and life sciences.
Our Mission is to enable our clients to maximize business impact from technology by
- Harnessing the transformational impact of emerging technologies
- Bridging the gap between business and technology
Role Description:
Incedo, Inc. is seeking a Lead Data Scientist for our Florham Park, NJ location. Responsibilities include: architecting and deploying GenAI and LLM-powered systems including GPT-4, LLaMA, and RAG pipelines to automate customer query resolution, document search, and risk narrative generation across telecom and banking verticals. Leading multidomain predictive modeling frameworks leveraging deep learning, anomaly detection, and 5G network telemetry for real-time network optimization, while building AI-driven AML and financial risk models using graph neural networks and LLM-assisted transaction analysis to ensure BSA/AML regulatory compliance. Spearhead enterprise-scale MLOps and LLMOps pipelines on AWS/Azure/GCP, design GenAI-driven BI dashboards for executive reporting, and mentor cross-functional data science teams across the full AI lifecycle.
Requirements:
Qualified applicants must have a Bachelor's degree in Computer Science, Data Science, Electronic Engineering, or a related field and five (5) years of experience in the job offered or acceptable alternate occupation. Experience must include: machine learning, Deep learning, Time-series analysis, and Business Intelligence across Telecom or Banking domains using Python (Scikit-learn, TensorFlow, or PyTorch); hands-on experience with LLMS, RAG systems, and NLP pipelines (Hugging Face, LangChain, LlamaIndex) alongside scalable MLOps/LLMOps on cloud platforms and AML or financial risk model development; GenAI agent development, LLM fine-tuning (SFT, RLHF, LORA/PEFT), and Big data frameworks, such as Apache Spark. Telecommuting permitted up to 2 times per week.
Other:
Job Site: Florham Park, NJ; 40 hours/week; $172,994 /year; Standard company benefits. If offered employment must have legal right to work in U.S. EOE.
Contact:
Please e-mail resume and position applied for to: Anup Khatu, HR specialist at [email protected] or mail to Incedo Inc., Attn: HR Department, 100 Campus Dr., Florham Park, NJ 07932. Reference: Lead Data Scientist-Florham Park, NJ.
Eligible for Employee Referral Program:
You can help Incedo, Inc., a friend, and yourself by participating in the Incedo, Inc. Employee Referral Program. If you are an eligible employee, you can earn a cash award of $1,000 if you refer an external applicant who is hired to a designated, open position at the company. We are looking to fill the aforementioned position as soon as possible. Your assistance in the matter would be highly appreciated.
Company Value:
We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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About Incedo
AI and data transformation for enterprisesIncedo is a global AI and data transformation firm that helps enterprises get returns from AI at scale, using domain-led data and AI platforms, products and solutions across customer experience, revenue growth, cost optimization and risk management.
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