Sr. Data Scientist

Who is Blueprint? 

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. 

What does Blueprint do? 

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. 

Why Blueprint? 

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. 

We are seeking a Sr. Data Scientist to join us as we build cutting-edge technology solutions!  This is your opportunity to be part of a team committed to delivering best-in-class service to our customers.  

In this role you will be responsible for leading the development and implementation of advanced scoring and indexing models to evaluate and predict various business outcomes. You will collaborate closely with cross-functional teams to integrate data science solutions into operational processes and inform strategic decision-making. The ideal candidate will have expertise in statistical modeling, machine learning algorithms, and data analysis techniques. 

Responsibilities: 

• Lead the development and implementation of advanced scoring and indexing models to evaluate and predict various business outcomes. 
• Collaborate with cross-functional teams to understand business needs, identify opportunities for model application, and integrate data science solutions into operational processes. 
• Conduct in-depth data analysis, including data mining, statistical analysis, and predictive modeling, to derive insights and inform model development. 
• Ensure the integrity and accuracy of scoring models by implementing rigorous validation and testing protocols. 
• Communicate complex model methodologies and insights to both technical and non-technical stakeholders, providing actionable recommendations based on model outputs. 
• Stay current with the latest developments in data science, particularly in the area of scoring and indexing models, and evaluate emerging technologies for potential application within the organization. 

Qualifications: 

• Bachelor's degree in a technical field such as computer science, computer engineering, or related field. 
• 8-10 years of experience in business analytics, with a focus on subscriptions. 
• 8+ years of experience with SQL, with bonus points for familiarity with SparkSQL, Databricks, or Azure Data Explorer. 
• Proficiency in a statistical programming language such as Python or PySpark. 
• Able to work in a collaborative, diverse, and fast-paced team environment. 
• Excellent analytical, problem-solving, verbal, visual, and written communication skills. 

Salary Range 

Pay ranges vary based on multiple factors including, without limitation, skill sets, education, responsibilities, experience, and geographical market. The pay range for this position reflects geographic based ranges