Responsibilities

• Establish scalable, automated data processes for large-scale analyses, model development, validation, and deployment.
• Use advanced causal inference to estimate learning curves and the effectiveness of training content for CLS Science.
• Conduct statistical analyses and hypothesis testing, including A/B testing.
• Develop and implement statistical, machine learning, or other mathematical methodologies to solve business problems in Learning & Development.
• Present findings to technical and non-technical stakeholders to influence strategy.

Requirements

Preferred:

• Master’s degree in statistics, mathematics, data science, economics, or related quantitative field.
• 3+ years of experience with SQL and scripting languages (Python) or statistical software (R/SAS/Matlab).
• 3+ years of machine learning / statistical modeling and data analysis experience; ability to apply theoretical models in practice.
• 2+ years as a data scientist; strong communication skills.
• Experience with AWS (S3, Redshift, SageMaker, EMR, Kinesis, Lambda, EC2).
• Knowledge of confidence intervals, significance testing, evaluation data sets.
• Experience with A/B testing and regression analysis.

Salary

USD 136,000 – 184,000 per year

Benefits

Medical, dental, vision; PTO; 401(k); parental leave; RSUs; comprehensive benefits

Responsibilities

• Establish scalable, automated data processes for large-scale analyses, model development, validation, and deployment.
• Use advanced causal inference to estimate learning curves and the effectiveness of training content for CLS Science.
• Conduct statistical analyses and hypothesis testing, including A/B testing.
• Develop and implement statistical, machine learning, or other mathematical methodologies to solve business problems in Learning & Development.
• Present findings to technical and non-technical stakeholders to influence strategy.

Requirements

Preferred:

• Master’s degree in statistics, mathematics, data science, economics, or related quantitative field.
• 3+ years of experience with SQL and scripting languages (Python) or statistical software (R/SAS/Matlab).
• 3+ years of machine learning / statistical modeling and data analysis experience; ability to apply theoretical models in practice.
• 2+ years as a data scientist; strong communication skills.
• Experience with AWS (S3, Redshift, SageMaker, EMR, Kinesis, Lambda, EC2).
• Knowledge of confidence intervals, significance testing, evaluation data sets.
• Experience with A/B testing and regression analysis.

Salary

USD 136,000 – 184,000 per year

Benefits

Medical, dental, vision; PTO; 401(k); parental leave; RSUs; comprehensive benefits