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Data Scientist (SeniorStaff) VC Backed Startups

SignalFire


Job Location:

New York City, NY - USA

Monthly Salary: Not provided by the employer
Posted: 7 August 2026 (30+ days ago)
Application Deadline: 4 November 2026
Vacancies: 1 Vacancy

Job Summary

Join SignalFires Talent Network for Senior/Staff Data Scientist Roles at VC-Backed Startups

This is not an application for a specific job. Instead this is a way to get on the radar of VC-backed startups that are actively hiring Data Science talent. If you have any questions please direct inquiries to .

At SignalFire we partner with top early-stage startups that are shaping the future of technology. Our portfolio spans 200 innovative companies across AI cybersecurity healthtech fintech developer tools and enterprise SaaS.

Were looking to connect with exceptional Senior and Staff Data Scientists who are excited about using data experimentation and machine learning to solve complex product and business problems at high-growth startups.

By joining SignalFires Talent Network your profile will be shared with our portfolio companies giving you visibility into exclusive early-stage opportunities that may not be publicly listed.

Who Should Join

Were looking for data scientists who are:

Passionate about using data to improve products customer outcomes and business decisions
Experienced in experimentation statistical analysis predictive modeling or causal inference
Excited to work closely with product engineering operations and business teams
Comfortable operating with incomplete data and ambiguous problems in fast-moving startup environments
Interested in building scalable analytical frameworks models and decision-making systems

Typical Roles & Responsibilities
  • Partner with product engineering and business leaders to identify high-impact opportunities for data science

  • Design and analyze experiments to evaluate product changes growth initiatives and operational strategies

  • Develop predictive forecasting recommendation ranking or optimization models

  • Apply statistical methods and causal inference techniques to measure impact and inform decisions

  • Build metrics analytical frameworks and dashboards that improve visibility into product and business performance

  • Translate complex analyses into clear recommendations for technical and non-technical stakeholders

  • Collaborate with engineers to productionize models and integrate data science into customer-facing products

  • Identify patterns in user customer operational and market data

  • Establish best practices for experimentation model evaluation data quality and analytical rigor

  • Mentor other data scientists and raise the technical standard of the broader data organization

  • Help shape the companys data strategy tooling and long-term analytical roadmap

Common Qualifications

While each startup has its own hiring criteria many Senior and Staff Data Scientist roles in our network look for:

  • 5 years of experience in data science applied statistics machine learning decision science or a related field

  • Strong proficiency in Python R SQL or similar analytical languages

  • Experience with statistical modeling experimentation causal inference forecasting or predictive analytics

  • Track record of using data to influence product strategy customer outcomes or business performance

  • Ability to work with large complex and imperfect datasets

  • Experience partnering closely with product managers engineers operators and executive stakeholders

  • Strong communication skills and the ability to explain technical findings clearly

  • Experience developing models or analytical systems that are used in production or operational decision-making

  • Strong judgment around methodology measurement tradeoffs and uncertainty

  • Experience in venture-backed startups or rapidly scaling technology companies may be preferred

  • Advanced degree in statistics economics computer science mathematics operations research or a related field may be preferred but is not always required

Technologies You Might Work With:
  • Languages & Analysis: Python R SQL pandas NumPy SciPy

  • Modeling & Machine Learning: scikit-learn XGBoost LightGBM PyTorch TensorFlow

  • Experimentation & Statistics: A/B testing causal inference Bayesian methods time-series analysis

  • Data Platforms: Snowflake BigQuery Redshift Databricks Spark

  • Visualization & Analytics: Looker Tableau Mode Hex Amplitude

  • Workflow & Development: Jupyter dbt Airflow Git Docker cloud platforms

What Happens Next
  1. Submit your application to join SignalFires Talent Ecosystem.

  2. We review applications on an ongoing basis to identify strong candidates.

  3. If theres a match a SignalFire talent partner or a leader from one of our startups may reach out directly.

  4. No match yet Well keep your profile on file for future Senior and Staff Data Scientist roles across our portfolio.


Required Experience:

Senior IC