Demo

Senior Data Scientist

GNOMI
York, NY Full Time
POSTED ON 12/30/2025
AVAILABLE BEFORE 1/29/2026

Senior Data Scientist


Location: New York, NY | Onsite


About GNOMI:

GNOMI is redefining how the world understands news and information. Our AI-powered platform delivers real-time, multilingual, and context-rich intelligence, helping professionals, institutions, and enterprises cut through noise and act with clarity.


At GNOMI, data science is not an academic exercise; it’s a core product and enterprise capability. Our models power not only consumer experiences, but also enterprise-grade intelligence solutions used by institutions, publishers, and partners.


We’re looking for a Senior Data Scientist who can turn complex data into insight, intelligence, and scalable enterprise solutions. This role sits at the intersection of AI, product, and decision-making, requiring strong statistical rigor, applied judgment, and the ability to translate models into real-world impact.

What You’ll Do:

  • Develop and deploy statistical and machine learning models powering GNOMI’s AI News Agent, Finance Mode, and enterprise solutions
  • Analyze large-scale user, content, and behavioral datasets to uncover patterns, trends, and signals
  • Design and evaluate models for classification, ranking, sentiment, relevance, anomaly detection, and enterprise intelligence use cases
  • Partner with Product and Engineering to integrate data science into consumer and enterprise-facing features
  • Support the development of enterprise analytics, insights, and reporting products tailored to institutional clients
  • Define success metrics and evaluate model performance using rigorous statistical methods
  • Lead experimentation efforts (A/B testing, causal analysis) across both consumer and enterprise deployments
  • Translate complex findings into clear, actionable insights for internal teams and enterprise stakeholders
  • Stay current on emerging techniques and apply what meaningfully improves GNOMI’s intelligence platform

What We’re Looking For:

  • 7 years of experience in Data Science, Applied Machine Learning, or similar roles
  • Strong foundation in statistics, probability, and quantitative modeling
  • Experience building and evaluating models used in production and enterprise environments
  • Ability to move from ambiguous business or client needs to structured analysis and solutions
  • Comfort working with real-time, high-volume, or multi-tenant data
  • Strong communication skills with both technical teams and enterprise-facing partners

Must-Haves:

  • Advanced proficiency in Python and data science libraries (pandas, NumPy, scikit-learn, PyTorch, TensorFlow)
  • Strong SQL skills and experience working with large datasets
  • Experience with experimentation frameworks, model evaluation, and monitoring
  • Familiarity with ML pipelines, deployment, and lifecycle management
  • Ability to balance rigor, scalability, and speed in a fast-moving environment

Nice to Have:

  • Experience building enterprise analytics or data products
  • Exposure to NLP, information retrieval, time-series analysis, or LLM-based systems
  • Familiarity with privacy, compliance, and responsible data usage in enterprise contexts
  • Experience working with multilingual or global datasets

Why GNOMI:

GNOMI is building a new class of real-time intelligence platforms for individuals and for enterprises. As a Senior Data Scientist, you’ll help define how information is interpreted, contextualized, and delivered at scale, across consumer and institutional use cases.


This role offers deep ownership, real-world impact, and the opportunity to shape enterprise-grade intelligence solutions built on trust, transparency, and rigor.

Compensation & Benefits:

  • Salary Range: $160,000 – $250,000 (final offer based on experience and expertise)
  • Bonus: Discretionary performance-based bonus
  • Equity: Eligibility for Equity as part of the total compensation package
  • Benefits: Comprehensive medical, dental, and vision coverage

Salary : $160,000 - $250,000

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