Data scientist - experimentation & causal inference (Nezahualcóyotl)

Data Scientist – Experimentation & Causal Inference

Wizeline is a global AI-native technology solutions provider that develops cutting‑edge AI‑powered digital products and platforms.

Key Responsibilities

• Design and run A/B tests and Randomized Controlled Trials (RCTs) to evaluate the impact of product and marketing initiatives.
• Apply causal inference techniques to estimate the true impact of business strategies.
• Partner with product, marketing, and analytics teams to turn business questions into measurable experiments.
• Analyze large datasets to uncover patterns, insights, and opportunities for optimization.
• Use tools such as Braze and Amplitude to evaluate campaign performance and user behavior.
• Build funnels, cohorts, and segmentation analyses to better understand user engagement.
• Communicate insights through clear reports and presentations for both technical and non-technical audiences.
• Maintain clear documentation of experiments, models, and analytical methodologies.

Must‑have Skills

• 2–3+ years of experience in Data Science, Analytics, or a related field.
• Strong knowledge of statistics and experimentation methodologies.
• Experience designing and analyzing A/B tests or experimentation frameworks.
• Proficiency in Python or R for data analysis.
• Experience working with SQL and large datasets.
• Ability to communicate complex analytical findings to business stakeholders.
• Experience working in cross‑functional teams in data‑driven environments.

Nice‑to‑have

• AI Tooling proficiency: Leverage AI tools to optimize day‑to‑day work, including drafting, analysis, research, or process automation.
• Experience with causal inference techniques such as the potential outcomes framework, difference‑in‑differences, or causal modeling.
• Familiarity with experimentation and analytics tools such as Braze or Amplitude.
• Experience with big data environments such as Spark or Databricks.
• Exposure to cloud environments such as Azure.
• Experience in consumer‑facing or marketing analytics environments.

What We Offer

• A high‑impact environment.
• Commitment to professional development.
• Versatile and collaborative culture.
• Global opportunities.
• Vibrant community.
• Total rewards (specific benefits are determined by the employment type and location).

Wizeline is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.