Senior Data Scientist

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

Experience: 4+ years of professional experience as a Data Analyst or Data Scientist

Core Areas: Behavioral Analytics, Exploratory Data Analysis, Statistical Analysis, Machine Learning, Python, SQL, Distributed Data Processing, Data Visualization

Compensation: $130,000 – $190,000 per year

About the Role

This opportunity is for a Senior Data Scientist focused on analyzing large, complex datasets to identify and classify behavioral patterns, develop product and client-facing analytics, and turn data into actionable recommendations. The role also contributes to data strategy and leads analytical projects through data ingestion, analysis, interpretation, and recommendation.

The position requires advanced statistical knowledge, exploratory data analysis, probability theory, SQL, Python, and distributed data processing. Exposure to machine learning methods such as regressors and classifiers is also important, along with the ability to communicate analytical findings through clear data visualization and storytelling.

What You'll Do

• 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.

Qualifications

Required Experience

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

Required Skills

• Advanced knowledge of statistical concepts, particularly exploratory data analysis techniques and probability theory.
• Exposure to machine learning methods, including regressors and classifiers.
• Advanced SQL proficiency, including the ability to create and evaluate complex queries involving numerous tables and data relationships.
• Strong Python proficiency and knowledge of object-oriented programming concepts as they apply to data and Python development.
• Proficiency with distributed data processing concepts and execution, including working with column stores and technologies such as Spark.
• Excellent data visualization and analytical storytelling skills, with the ability to explain findings and solutions clearly and compellingly to stakeholders.
• Ability to learn quickly, with strong curiosity about data and continued development in analytical methods and technologies.
• Medical, dental, and vision insurance.
• 401(k) with company match.
• Flexible paid time off and company holidays.
• Paid parental leave.
• Professional development and learning opportunities.
• Wellness and mental health resources.Remote work support and home office stipend where applicable.