Sr. Data Scientist, Email Platform

Salesforce is a leading cloud-based CRM platform provider.
Data
Senior Software Engineer
In-Person
4+ years of experience
AI · Enterprise SaaS
This job posting may no longer be active. You may be interested in these related jobs instead:
Senior Data Engineer

Senior Data Engineer position at Salesforce focusing on building and maintaining data infrastructure, pipelines, and analytics solutions while working with cross-functional teams.

Sr. Data Engineer SMTS

Senior Data Engineer position at Salesforce focusing on designing and implementing data pipelines with competitive salary and remote work options.

Responsible ML Data Science Engineer

Senior ML Data Science role focusing on responsible AI development at Salesforce, combining technical expertise with ethical considerations in AI implementation.

Software Engineer (Big Data) - Senior/Lead/Principal

Senior Software Engineer position at Salesforce focusing on Big Data platform development, requiring 4+ years of experience in distributed systems and cloud technologies.

Sr. PL/SQL - Data Engineer

Senior PL/SQL Data Engineer position at Salesforce, focusing on building complex data pipelines and ETL processes, requiring 5+ years of experience in SQL and data engineering.

Description For Sr. Data Scientist, Email Platform

Salesforce is seeking a Senior Data Scientist for their Email Platform team. This role focuses on leveraging AI, predictive modeling, segmentation, and decisioning to serve the Salesforce Marketing organization. The ideal candidate will have a strong background in machine learning, particularly in areas such as next best content recommendations, prediction of best email frequency, and resolving next best journey for subscribers.

Key responsibilities include:

  • Working with large, sophisticated data sets to solve challenging problems using various analytical, statistical, and machine learning approaches
  • Owning the full lifecycle of model development from ideation to production deployment
  • Partnering with product and engineering teams to understand and improve product instrumentation
  • Analyzing product usage patterns to better understand customer behavior
  • Implementing AI/ML models for personalized email content recommendations
  • Leveraging GenAI capabilities for optimization in areas like audience segmentation and personalization
  • Conducting A/B and multivariate tests to validate hypotheses and influence product decisions
  • Communicating insights and recommendations to marketing leaders

The role requires 4+ years of experience in Product Data Science, proficiency in data querying languages (e.g., SQL), scripting languages (e.g., Python), and statistical software. Experience with cloud platforms like GCP and AWS is preferred. The ideal candidate will possess natural curiosity, technical competence, and the ability to translate business questions into data analytics approaches.

At Salesforce, Trust is the number one value, and the company ensures ethical use of data in algorithm design, preventing bias, preserving privacy, and ensuring cultural sensitivity. The company offers a comprehensive benefits package and is committed to creating an inclusive and diverse workplace.

Last updated 3 months ago

Responsibilities For Sr. Data Scientist, Email Platform

  • Work with large and sophisticated data sets to solve challenging problems
  • Own the full lifecycle of model development from ideation to production
  • Partner with product and engineering teams to understand product instrumentation
  • Analyze product usage patterns to understand customer behavior
  • Architect and implement AI/ML models for personalized email content recommendations
  • Leverage GenAI capabilities for optimization in various marketing areas
  • Drive A/B and multivariate tests to validate hypotheses
  • Partner with multi-functional teams to identify new opportunities
  • Communicate insights and recommendations to marketing leaders

Requirements For Sr. Data Scientist, Email Platform

Python
  • 4+ years of experience in Product Data Science, including in-depth experience with experimentation
  • Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and statistical/mathematical software (e.g., R)
  • 4-6+ years of experience using advanced statistical and machine learning techniques
  • Experience using cloud platforms such as GCP and AWS for model development and operationalization (preferred)
  • Experience translating business questions into data analytics approaches
  • Experience crafting data visualizations and storytelling
  • Experience developing and operationalizing consistent approaches to experimentation
  • Natural curiosity and technical competence

Interested in this job?