Data Scientist Lead

RBGlobal; Oregon; Hybrid; USD 150,000 - 210,000; Full time

Job summary

RBGlobal is seeking a Lead Data Scientist in Oregon to build and lead a team delivering scalable ML and analytics solutions across the organization. You will partner with IT, executives, and product teams to translate opportunities into enterprise-scale data products.

You will guide data-driven initiatives, mentor analysts, and ensure high-quality, impactful work while operating in an Agile environment. This role reports to senior leadership and shapes the analytics roadmap.

Qualifications

• 10+ years delivering ML and analytics with measurable business impact.
• 2+ years leading data science teams or analytics groups.
• 2 years of consulting or leadership experience in data science.
• Excellent verbal and written English.
• Exceptional attention to detail.
• Experience working on an Agile development team.

Responsibilities

• Lead development of scalable ML and analytics solutions across the organization.
• Hire and mentor data scientists with technical oversight.
• Collaborate with IT, executives, and product teams to integrate solutions.
• Ideate and prioritize team initiatives with business stakeholders.
• Oversee model development, deployment and evaluation.
• Ensure quality and performance of all data products.
• Communicate methods and impact to stakeholders.
• Sourcing, cleaning and understanding data with data management group.

Skills

Team management

Machine Learning

Data analytics

Communication

Agile

Job description

The Lead Data Scientist will play a key role in advancing the analytics and data science capacity of the organization. She/he will hire and manage a team of data scientists who deliver scalable machine learning and advanced analytics solutions across the organization. The new hire will need to work closely with IT, executive, and product teams to integrate these into enterprise-scale solutions. The Lead will work with business stakeholders to ideate and prioritize team initiatives while communicating the methods and impact of the methods.

Responsibilities

• Leverage a deep knowledge of data science, data engineering and statistics best practices to ensure that the most applicable solutions are developed.
• Complete advanced analysis of the company's customer and business data, data.
• Nurture solutions through the whole chain (problem, ideation, data sourcing, experimentation, development, deployment, monitoring).
• Manage and mentor data scientists with in-depth technical oversight to foster their development and a positive, learning team environment while ensuring all work meets the expected level of quality and performance.
• Team management and oversight
• Model Development, deployment and evaluation
• Meeting with and advising stakeholders
• Solving operational challenges with business units which are depended upon
• Sourcing, cleaning and understanding data in collaboration with the data management group
• Perform other duties as assigned

Qualifications

• 10 years of demonstrated business impact through the conception, delivery, and scaling of machine learning and other analytic approaches, including machine learning and big data.
• 2+ years managing and mentoring other data scientists and analysts
• 2 years of consulting or leadership experience as a data scientist
• Excellent verbal and written skills in English
• Exceptional attention to detail
• Experience working on an Agile development team