Join our dynamic team as a Data Scientist, where you'll play a crucial role in developing scalable measurement frameworks. This position is perfect for those passionate about statistical and causal inference in enterprise solutions.

Responsibilities

• Design and develop robust measurement frameworks for enterprise solutions.
• Leverage statistical inference and causal methods such as A/B testing and propensity score matching.
• Conduct and analyze controlled experiments and observational studies to assess impact.
• Collaborate with stakeholders to define and refine KPIs and measurement strategies.
• Write clean, reproducible code for comprehensive statistical analysis and reporting.
• Manage code repositories following CI/CD principles using GitHub Enterprise.

Skills

• Extensive knowledge of hypothesis testing, and causal inference techniques.
• Proficient in Python and SQL, with experience in libraries such as statsmodels and scikit-learn.
• Experience with A/B testing and designing experiments.
• Self-starter with a proactive approach and ability to work independently.

Preferred Skills

• Background in retail, inventory management, or operations research.
• Exposure to cloud platforms like Azure, AWS, or GCP.

At Horizontal, we celebrate diversity as a fundamental value of our company. We strive to create an inclusive environment that empowers all individuals to contribute and thrive.