Senior Decision Scientist: Data-Driven Strategy & ML

Jobtailor; North Carolina; On-site; USD 110,000 - 150,000; Full time

Job summary

Jobtailor is seeking an experienced analytics professional to act as an individual contributor, independently driving analytics projects and delivering against business objectives.

You will apply an interdisciplinary approach and advanced techniques, including machine learning, to generate insights that help the business make informed, data-driven decisions and improve revenue and efficiency.

Qualifications

• 5+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, or Engineering.
• 2+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results.
• Ability to engage and support internal business partners, connecting insights with execution and business impact.
• Innovative and strategic thinker with bias to action and focus on measurable business impact.
• Strong competency in statistical and analytical principles, tools, and techniques.
• Experience with Snowflake, IBM DB2, Oracle; programming skills (SAS, SQL, Toad, Matillion, Sigma); data visualization tools (Power BI, Tableau, Qlik Sense).

Responsibilities

• Act as an independent contributor driving analytics projects and objectives.
• Produce analytics insights using interdisciplinary approaches to inform decisions.
• Lead decision science projects leveraging quantitative analysis and machine learning.
• Engage with mid-level managers and cross-functional partners across the organization.
• Aim to increase revenue or efficiency through data-driven insights and improved decision-making.

Skills

Decision Science Project Management

Quantitative Analysis Techniques

Statistical Principles

Data Visualization Tools

Database Environments

Education

Bachelor's degree

Tools

SAS

SQL

R

Python

Power BI

Tableau

Snowflake

IBM DB2

Oracle

Microsoft Excel

Toad

Matillion

Sigma

Qlik Sense

Job description

Jobtailor is seeking an experienced analytics professional to act as an individual contributor, independently driving analytics projects and delivering against business objectives.

You will apply an interdisciplinary approach and advanced techniques, including machine learning, to generate insights that help the business make informed, data-driven decisions and improve revenue and efficiency.