Data Scientist (Causality)

Data Scientist

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.

With the right people and the right ideas, there’s no limit to what we can achieve.

Are you a fit?

We are looking for a Data Scientist with strong expertise in causal inference, experimentation, and advanced statistical modeling. This role requires hands-on experience designing and validating causal models, running randomized controlled trials, and applying machine learning techniques to both experimental and observational data.

Key Responsibilities

• 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.

Must-have Skills

• 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.

What we offer

• A High-Impact Environment
• Commitment to Professional Development
• Flexible and Collaborative Culture
• Global Opportunities
• Vibrant Community
• Total Rewards (benefits vary by location and employment type)

Find out more about our culture