Senior Data Scientist - Behavioral Analytics (Remote)

7Seventy; United States; Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

401(k) with company match

Flexible paid time off

Parental leave

Professional development

Wellness resources

Remote work stipend

Job summary

7Seventy is seeking a Senior Data Scientist to analyze large, complex datasets, identify behavioral patterns, and turn data into actionable recommendations for product and client analytics.

The role leads analytical projects from ingestion to interpretation, contributing to data strategy and collaborating with product managers and engineers. Strong statistics, exploratory data analysis, probability, SQL, Python, and distributed processing are required, with ML exposure.

Qualifications

• 4+ years of professional experience as a Data Analyst, Data Scientist, or in directly related analytical work.

Responsibilities

• Analyze extensive datasets to identify and classify behavioral patterns among medical professionals using the platform.
• Create product-facing and client-facing analytics that support data-driven decisions.
• Work with product leaders and managers to inform data team strategy.
• Actively participate in the execution and planning of organizational data team strategy.
• Collaborate with product managers, analysts, and developers to define and lead data projects.
• Lead data projects through data ingestion, analysis, interpretation, and actionable recommendations.

Skills

Behavioral analytics

Exploratory data analysis

Statistical analysis

Machine learning

Python

SQL

Distributed data processing

Data visualization

Storytelling with data

Tools

Spark

Job description

7Seventy is seeking a Senior Data Scientist to analyze large, complex datasets, identify behavioral patterns, and turn data into actionable recommendations for product and client analytics.

The role leads analytical projects from ingestion to interpretation, contributing to data strategy and collaborating with product managers and engineers. Strong statistics, exploratory data analysis, probability, SQL, Python, and distributed processing are required, with ML exposure.