Data Scientist

LinQ Global Group seeks a Data Scientist to design and analyze A/B tests and causal inference studies, partnering with cross-functional teams to generate insights and build scalable experimentation solutions using advanced statistical methods.

Responsibilities

• Design and run A/B tests and geo-based experiments to validate ideas and measure impact.
• Analyze data with statistical and causal-inference techniques to uncover actionable insights.
• Create scalable analytics and experimentation platforms to support ongoing measurement.
• Develop statistical models and machine learning solutions to inform business decisions.
• Perform sample size planning, power analysis, and post-experiment evaluation to ensure reliable results.
• Present findings and recommendations to business stakeholders and leadership.
• Collaborate with cross-functional teams to address business problems through data-driven approaches.
• Mentor team members and promote best practices in experimentation and data science.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
• 7+ years of experience in experimentation, causal inference, or data science.
• Strong knowledge of A/B testing, experimental design, and statistical modeling.
• Experience with causal inference methods such as Difference-in-Differences, Propensity Score Matching, and Instrumental Variables.
• Proficiency in Python and/or R.
• Experience with machine learning libraries such as scikit-learn or LightGBM.
• Strong analytical, problem-solving, and communication skills.

Technologies

• Python
• R
• scikit-learn
• LightGBM
• Databricks
• Snowflake
• Jupyter
• GitHub

Location

Glendale, CA 91201

Job Type

Full-Time