🛑 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 [email protected].
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.
We’re 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 SignalFire’s 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?We’re 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
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 company’s data strategy, tooling, and long-term analytical roadmap
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
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
Submit your application to join SignalFire’s Talent Ecosystem.
We review applications on an ongoing basis to identify strong candidates.
If there’s a match, a SignalFire talent partner or a leader from one of our startups may reach out directly.
No match yet? We’ll keep your profile on file for future Senior and Staff Data Scientist roles across our portfolio.
