Senior Data Scientist

QuantiumNashville, TN
Hybrid

About The Position

We're looking for a talented and driven Senior Data Scientist to join our growing US Retail & Consumer team. This is an exciting opportunity to work at the intersection of advanced analytics, machine learning, and commercial impact, delivering data-driven solutions that make a genuine difference for our clients and partners. You will apply deep technical expertise across the full data science lifecycle, from problem framing and solution design through to model development, deployment, and ongoing value delivery. You'll collaborate closely with cross-functional teams, contribute to a culture of analytical excellence, and play a meaningful role in mentoring and developing others.

Requirements

  • 3 to 6 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 with solid coding practices
  • Strong foundations in statistical modelling, machine learning, and data wrangling, with hands-on experience in production-grade model development
  • Experience working with cloud-based data platforms (e.g. GCP, AWS, Azure) and familiarity with big data technologies
  • Demonstrated ability to communicate complex analytical findings to non-technical audiences in a clear and engaging way
  • 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 is advantageous
  • Familiarity with MLOps practices is a plus

Responsibilities

  • Design, develop, and deliver high-quality data science solutions that address complex client and business problems across a range of 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 well-defined analytical frameworks, driving delivery from scoping through to deployment
  • Collaborate with clients and internal stakeholders to understand requirements, communicate findings, and embed solutions into decision-making processes
  • Champion best practice in data preparation, modelling, code quality, and solution governance, setting the standard for the team
  • Mentor and support graduate and contributor-level team members, fostering a culture of continuous learning
  • Participate in business development activities including solution scoping, proposal development, and client presentations

Benefits

  • Medical, dental, vision and life insurance coverage
  • Retirement 401(k) plan with 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
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