Lead Data Scientist, Embedded Insights—Analytics Backbone

United States Digital Space LLC; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

United States Digital Space LLC is seeking its first Data Scientist on the Embedded Insights team to establish the analytics backbone for a diverse set of internal and external products.

You will analyze the company network, build foundational metrics and dashboards, evaluate ML models, and translate findings into clear recommendations for product and engineering leaders to drive measurable improvements.

You will partner with cross-functional teams and help shape long-term data science roadmaps.

Qualifications

• 6+ years of industry experience in Data Science or a related analytics role.
• Deep familiarity with SQL and data visualization tools.
• Understanding of modern machine learning techniques, such as classification, clustering, and optimization.
• Experience evaluating model performance, identifying opportunities for improvement, and connecting technical results to business outcomes.
• Proven ability to tailor analytical solutions to business problems while working with cross-functional partners.
• Ability to code and iterate independently in Python, particularly for exploratory data analysis.
• Strong written and verbal communication skills, including the ability to explain analytical methods, tradeoffs, and recommendations to technical and non-technical audiences.
• Experience building or partnering on data pipelines using dbt or Airflow is a plus.
• Bachelor’s degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field.

Responsibilities

• Analyzing entities across the company network to understand behavior and identify opportunities, anomalies, and risks.
• Creating foundational metrics, dashboards, and monitoring systems that provide a clear view of network health and machine learning model performance.
• Evaluating the value and performance of machine learning models using customer and internal data.
• Identifying opportunities to improve existing models and translating findings into clear, actionable narratives for product and engineering leaders.
• Designing experiments, defining success metrics and guardrails, analyzing results, and communicating recommendations to stakeholders.
• Analyzing the company product and customer data to identify opportunities for product improvement and expansion.
• Partnering with cross-functional teams to build reliable data models and analytics workflows.

Skills

SQL

Data visualization

Python

Machine learning concepts

Communication

Education

Bachelor's degree or equivalent

Tools

dbt

Airflow

Job description

United States Digital Space LLC is seeking its first Data Scientist on the Embedded Insights team to establish the analytics backbone for a diverse set of internal and external products.

You will analyze the company network, build foundational metrics and dashboards, evaluate ML models, and translate findings into clear recommendations for product and engineering leaders to drive measurable improvements.

You will partner with cross-functional teams and help shape long-term data science roadmaps.