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About the role
As a Senior Data Scientist, you will independently work on specific data projects and be responsible for implementing analytical solutions. You will design, build, deploy, and support end-to-end Data & AI solutions. You will translate complex business challenges into scalable, production-ready analytics and machine learning systems, collaborating closely with product, data engineering, and architecture stakeholders to deliver measurable impact.
What they're looking for
- Prior experience at management consulting firms and/or Big Tech is an advantage
- Client-serving experience is an advantage
- 5+ years of experience in data science or a related analytical field
- 5+ years delivering end-to-end analytics/ML solutions from problem framing through deployment and ongoing monitoring in production
- Experience applying software engineering methodologies and best practices, including coding standards, code reviews, build processes, testing, and security
- Prior experience in developing AI solutions on public cloud services is an advantage
More about this role
Contract duration: 6 months (with a potential extension)
Engagement Type: Full-time
Start date: August/September 2026
Contango is the strategic partner for transformative growth and sustained success for the ADQ portfolio. Our team excels in providing comprehensive growth solutions that combine global best practices with local market expertise. We focus on long-term value creation, empowering our clients to achieve the full scale of their aspirations. As a trusted advisor to ADQ's portfolio companies, Contango helps CEOs drive strategic growth initiatives, navigate disruptive forces, and maximize long-term value creation.
As a Senior Data Scientist, you will independently work on specific data projects and be responsible for implementing analytical solutions. You will design, build, deploy, and support end-to-end Data & AI solutions. You will translate complex business challenges into scalable, production-ready analytics and machine learning systems, collaborating closely with product, data engineering, and architecture stakeholders to deliver measurable impact.
Translate client business problems into end-to-end system architectures that combine Data, ML, and software...
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