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.

Horizontal facilitates valuable and productive conversations between you and potential employers. We can assist you in growing your career by partnering you with employers that offer challenging assignments. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $30 - $62 per hour. This is not a guarantee of compensation, as final offer amount may vary based on factors including but not limited to experience and geographic location.