Senior Data Scientist

Soni; New York (NY); On-site; USD 115,000 - 190,000; Full time

Job summary

An innovative technology company is seeking a Senior Data Scientist in New York. The role involves designing agentic AI systems and optimizing large language models for enterprise applications. Candidates should have a strong academic background, hands-on AI/ML experience, and proficiency in Python and AI frameworks. This position offers a competitive salary of $115,000 to $190,000 annually, depending on experience.

Qualifications

• 2+ years of applied experience with a PhD or 4+ years with a Master’s in relevant fields.
• 3+ years of hands-on AI/ML experience.
• Strong foundations in probability and statistics.

Responsibilities

• Design and deploy agentic AI systems for workflow automation.
• Implement and optimize AI solutions for unstructured data.
• Partner with engineering teams for scalable model deployment.

Skills

AI/ML solutions development

Communication of technical concepts

Problem-solving

Attention to detail

Education

PhD in Computer Science or related field

Master’s in Computer Science or related field

Tools

Python

PyTorch

TensorFlow

Job description

Join to apply for the Senior Data Scientist role at Soni.

This range is provided by Soni. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$115,000.00/yr - $190,000.00/yr

We are seeking a highly skilled Senior Data Scientist with deep expertise in agentic AI, large language models, and advanced machine learning. This role offers the opportunity to apply cutting‑edge AI to real‑world challenges, delivering measurable business impact by driving automation, intelligence, and efficiency across the organization.

As part of a forward‑looking Data & AI organization, you’ll join a multidisciplinary team of scientists, engineers, product leaders, and analysts building enterprise‑grade AI solutions that enhance growth, strengthen risk management, and improve user experience. You will work on high‑visibility initiatives, transforming complex business processes using next‑generation AI.

Key Responsibilities

• Design and deploy agentic AI systems that automate complex workflows and improve decision‑making across core business operations.
• Implement and optimize LLMs and generative AI solutions for processing unstructured data (e.g., legal/compliance documents, claims data, customer interactions).
• Build intelligent autonomous agents and multi‑step reasoning systems that integrate with enterprise platforms.
• Partner with data engineering and AIOps teams to ensure models are scalable, production‑ready, and reliable from prototype through deployment.
• Translate research in agentic AI, reinforcement learning, and reasoning into practical enterprise applications.
• Work closely with product owners, technology teams, and business stakeholders to scope use cases and measure value.
• Develop repeatable frameworks for testing, deploying, and monitoring agentic AI solutions.
• Provide mentorship to junior data scientists and support the standardization of AI/ML practices across the organization.

You Are

• Motivated by applying advanced AI to solve real‑world business problems.
• Passionate about the potential of agentic AI, autonomous systems, and LLMs.
• A hands‑on innovator who sees projects through from research to operational deployment.
• Able to communicate complex technical concepts to senior business partners.

Qualifications

• PhD with 2+ years of applied experience or Master’s with 4+ years in Computer Science, Statistics, Engineering, Applied Mathematics, or a related field.
• 3+ years of hands‑on experience developing AI/ML solutions.
• Strong foundations in probability, statistics, and machine learning.
• Proficiency with Python and modern AI frameworks (e.g., PyTorch, TensorFlow, LangGraph).
• Experience building and deploying scalable AI systems that integrate with enterprise platforms.
• Excellent problem‑solving skills and attention to detail.
• Demonstrated ability to mentor technical talent and drive high‑impact results.

Compensation: $115,000 to $190,000 annually

Salary is based on a range of factors that include relevant experience, knowledge, skills, other job‑related qualifications.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

Insurance

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