Data Scientist (Causality)

Wizeline, Inc.
United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Artificial Intelligence Big Data Data Mining Distributed Systems R (Programming Language) Python (Programming Language) Machine Learning SQL Databases Sql Optimization Pyspark Scikit Learn Information Technology
+1 more
Statistics Packages

Job description

  • Causal Modeling: Design, build, and validate causal models to measure the impact of business initiatives (Difference-in-Differences, Synthetic Control, Potential Outcomes framework).
  • Experimentation: Implement randomized controlled trials (RCTs), ensuring robust design, group assignment, and statistical validity.
  • Statistical Analysis: Apply advanced statistical methods to distinguish correlation from causation, evaluate assumptions, and quantify causal effects.
  • Data Tools: Use Python, R, SQL, and PySpark to analyze large-scale datasets in distributed environments.
  • Documentation & Reporting: Maintain clear documentation of models and experiments, and translate complex findings into actionable insights for non-technical stakeholders.

Requirements

  • 5-7 years of experience in causal inference, experimentation (RCTs), and machine learning.
  • Bachelor’s degree in Statistics, Economics, Computer Science, or related field.
  • English level: B2.
  • Strong foundations in statistics, probability, and applied econometrics (selection bias, omitted variable bias, spillovers, SUTVA).
  • Advanced proficiency in Python (econml, causalml, dowhy, statsmodels, scikit-learn) and R (did, fixest, CausalImpact, MatchIt, Synth, gsynth).
  • Advanced SQL and PySpark for data extraction, transformation, and analysis.

Nice-to-have

  • AI Tooling Proficiency: Ability to leverage AI tools for drafting, analysis, research, or process automation, and recommend effective AI use in workflows.
  • Experience operating in dynamic, high-ambiguity environments.

Soft Skills

  • Strategic and persuasive communication with business orientation.
  • Strong storytelling to explain and defend complex solutions.
  • Ability to lead conversations with clients and senior stakeholders.
  • Clear, structured responses to objections or ambiguous scenarios.
  • Skill in translating technical topics into business impact.
  • Building trust and credibility through communication.

About the company

We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

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