Senior Data Scientist

Quantium • Nashville, TN

20d • Hybrid

About The Position

Quantium is seeking a Senior Data Scientist to join its growing US team and deliver data-driven solutions at the intersection of advanced analytics, machine learning, and commercial impact. The role applies technical expertise across the full data science lifecycle, from problem framing and solution design through model development and deployment to ongoing value delivery. The Senior Data Scientist collaborates with cross-functional teams, supports analytical excellence, and mentors and develops other team members.

The role involves work on complex client and business problems across retail and consumer industries, partnering with clients and internal stakeholders, and contributing to business development. Quantium describes itself as a global data science and AI company established in Australia in 2002, with more than 1,200 people across 14 locations.

Requirements

• At least 5 years of experience in a data science or quantitative analytics role, with a strong track record of delivering commercial outcomes.
• Proficiency in Python and/or R and solid coding practices.
• Strong foundations in statistical modelling, machine learning, and data wrangling.
• Hands-on experience developing production-grade models.
• Experience with cloud-based data platforms such as GCP, AWS, or Azure, and familiarity with big data technologies.
• Ability to communicate complex analytical findings clearly and engagingly to non-technical audiences.
• Experience working in cross-functional teams and managing relationships with internal and external stakeholders.
• A degree in a quantitative discipline such as mathematics, statistics, computer science, engineering, or a related field.

Nice To Haves

• Experience in retail, financial services, health, or a related industry.
• Familiarity with MLOps practices.

Responsibilities

• Design, develop, and deliver data science solutions for complex client and business problems across retail and consumer industries.
• Apply machine learning, statistical modelling, and AI techniques to generate actionable insights and build scalable analytical products.
• Translate business problems into analytical frameworks and drive delivery from scoping through deployment.
• Collaborate with clients and internal stakeholders to understand requirements, communicate findings, and embed solutions into decision-making processes.
• Champion best practices in data preparation, modelling, code quality, and solution governance.
• Mentor and support graduate- and contributor-level team members and foster continuous learning.
• Participate in business development, including solution scoping, proposal development, and client presentations.

Benefits

• Medical, dental, vision, and life insurance coverage.
• Retirement 401(k) plan with a 6% employer contribution.
• Flexible spending account.
• Hybrid and flexible work arrangements.
• Option to work in another country for up to 30 calendar days per year, subject to eligibility criteria.
• Regular social events and get-togethers, including an annual company trip.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior