Data Science Architect & Strategy Lead

Kelly Services; Boston (MA); Remote; USD 234,000 - 289,000; Full time

Job summary

A high-growth technology company is seeking a Principal Data Scientist to establish and lead its data science practice. This is a strategic, hands-on role for an experienced data professional who excels at solving complex problems, navigating ambiguity, and transforming fragmented data into meaningful business outcomes.

As the senior-most data science leader, you will be responsible for building the analytical foundation that enables data-informed decision making across the organization.

Qualifications

• 7+ years of experience in Data Science or related fields.
• Advanced proficiency in Python and SQL.
• Experience establishing analytics or data science functions in growing organizations.
• Strong foundation in statistics, experimentation design, causal inference, and hypothesis testing.
• Experience creating and maintaining data models, ETL processes, and analytical data pipelines.
• Proven ability to translate business objectives into scalable analytical solutions.
• Excellent written and verbal communication with ability to influence stakeholders at all levels.

Responsibilities

• Build the analytical foundation enabling data-informed decision making across the organization.
• Collaborate with Product, Engineering, and business stakeholders to develop scalable analytics frameworks and measurement strategies.
• Create infrastructure to support long-term growth and data-informed decision making.
• Translate complex data into actionable insights and drive measurable business impact.

Skills

Python

SQL

Data science

Statistics

Experiment design

Data modeling

Communication

Leadership

Education

Graduate degree in quantitative field

Job description

A high-growth technology company is seeking a Principal Data Scientist to establish and lead its data science practice. This is a strategic, hands-on role for an experienced data professional who excels at solving complex problems, navigating ambiguity, and transforming fragmented data into meaningful business outcomes.

As the senior-most data science leader, you will be responsible for building the analytical foundation that enables data-informed decision making across the organization.