Senior Data Scientist

Jobtailor; California (MO); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a Senior Data Scientist to conduct exploratory data analysis on user, content, and engagement data within a brand or product area. You will run A/B tests, define success metrics, and collaborate with ML engineers to translate findings into actionable recommendations.

You will monitor model performance, work with cloud platforms (AWS/Databricks/Snowflake), and support data-driven decisions across product teams.

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a comparable quantitative field of study, and/or equivalent work experience.
• 5+ years of experience in data science, analytics, or a related field.
• Proficiency in Python, SQL, and PySpark for data analysis and manipulation.
• Working knowledge of statistical analysis and experimentation, including running and interpreting A/B tests under established methodology.
• Ability to conduct exploratory data analysis and identify patterns in user behavior data.
• Experience working with cloud data platforms such as AWS, Databricks, or Snowflake.
• Clear written and verbal communication skills, with the ability to summarize findings for an immediate team.
• Experience working in Agile/Scrum environments and collaborating with engineering and product partners.
• Experience with Adobe Analytics or comparable web/product analytics platforms.
• Exposure to large-scale content or media platforms.
• Familiarity with data visualization tools such as Tableau or Looker.
• Basic familiarity with machine learning concepts sufficient to support ML Engineers on feature analysis and evaluation.

Responsibilities

• Conduct exploratory data analysis on user, content, and engagement data within an assigned brand or product area
• Run A/B tests and other controlled experiments under established methodology, analyze results, and summarize findings
• Help define and track success metrics for specific features or product areas
• Monitor model performance and elevate anomalies to senior team members
• Work with Machine Learning Engineers on feature analysis and model evaluation
• Provide data support for drift detection and performance reviews
• Translate analysis into clear findings and recommendations for the immediate team
• Apply statistical analysis using Python, SQL, and PySpark, with tools such as Adobe Analytics
• Collaborate with product, design, and engineering partners on assigned initiatives
• Develop toward broader ownership of experimentation and metrics design over time

Skills

Python Proficiency

SQL Proficiency

A/B Testing

Data Visualization

Adobe Analytics

Cloud Platforms

Agile/Scrum

Communication

Education

Bachelor's degree in CS/Stats/Math/Economics

Tools

PySpark

AWS

Databricks

Snowflake

Tableau

Looker

Job description

Responsibilities

• Conduct exploratory data analysis on user, content, and engagement data within an assigned brand or product area
• Run A/B tests and other controlled experiments under established methodology, analyze results, and summarize findings
• Help define and track success metrics for specific features or product areas
• Monitor model performance and elevate anomalies to senior team members
• Work with Machine Learning Engineers on feature analysis and model evaluation
• Provide data support for drift detection and performance reviews
• Translate analysis into clear findings and recommendations for the immediate team
• Apply statistical analysis using Python, SQL, and PySpark, with tools such as Adobe Analytics
• Collaborate with product, design, and engineering partners on assigned initiatives
• Develop toward broader ownership of experimentation and metrics design over time

Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a comparable quantitative field of study, and/or equivalent work experience
• 5+ years of experience in data science, analytics, or a related field
• Proficiency in Python, SQL, and PySpark for data analysis and manipulation
• Working knowledge of statistical analysis and experimentation, including running and interpreting A/B tests under established methodology
• Ability to conduct exploratory data analysis and identify patterns in user behavior data
• Experience working with cloud data platforms such as AWS, Databricks, or Snowflake
• Clear written and verbal communication skills, with the ability to summarize findings for an immediate team
• Experience working in Agile/Scrum environments and collaborating with engineering and product partners
• Experience with Adobe Analytics or comparable web/product analytics platforms
• Exposure to large-scale content or media platforms
• Familiarity with data visualization tools such as Tableau or Looker
• Basic familiarity with machine learning concepts sufficient to support ML Engineers on feature analysis and evaluation

Core Competencies

Proficient in conducting exploratory data analysis and statistical analysis using Python, SQL, and PySpark, with a strong focus on A/B testing and performance metrics. Capable of translating complex data findings into actionable insights while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

• Python Proficiency
• SQL Proficiency
• A/B Testing Methodology
• Data Analysis
• Adobe Analytics Experience

Hard Skills

• Statistical Analysis
• Exploratory Data Analysis
• Data Manipulation
• Feature Analysis
• Model Evaluation

Soft Skills

• Clear Communication
• Collaboration

Industry Keywords

• Data Science
• Analytics
• Agile
• Scrum
• Machine Learning

Tools & Technologies

• PySpark
• Adobe Analytics
• AWS
• Databricks
• Snowflake
• Tableau
• Looker