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Senior Data Scientist, Sourcing AI, Prague Hybrid
Develop sourcing AI for Coupa’s spend management platform, taking models from real-world problem definition through production. Work across supplier discovery, forecasting, optimisation, and document understanding.
विवरण
- Lead sourcing research from framing problems with real spend data through experimentation and production deployment
- Create new sourcing approaches without depending on established baselines or ready-made solutions
- Build datasets, labels, benchmarks, and supervision signals from historical events and outcomes
- Plan and execute fast experiments, prototypes, baselines, and offline assessments
- Extend Coupa’s internal T-LLM foundations for RFPs, specifications, quotes, and contracts
- Account for inference cost, response time, resilience, and recommendation failure modes
- Partner with Coupa’s Sourcing product, data, and AI Platform teams
- Record technical decisions and help strengthen team practices
- Investigate supplier recommendation and retrieval, forecasting and should-cost models, game theory and mechanism design, combinatorial optimisation, and multimodal document understanding
आवश्यकताएँ
- At least five years of experience in applied machine learning, data science, ML engineering, or quantitative research
- A track record of deploying models or decision systems in production
- Advanced Python proficiency
- Experience working with SQL and large, untidy datasets
- Expertise in at least one of these areas: deep learning, recommendation and ranking, forecasting and time series, optimisation and operations research, causal inference and econometrics, reinforcement learning and bandits, market and mechanism design, or LLM-based systems
- Strong experimental design skills and scientific discipline
- A rigorous approach to data leakage, baselines, and evaluation that reflects production conditions
- Ability to work effectively in greenfield and ambiguous problem spaces
- Interest in procurement, supply chains, or market design is useful but optional
लाभ
- Access to frontier LLMs, high-end GPUs, and large-memory training clusters
- Funding for relevant conference attendance
- 33 days of leave covering PTO, personal days, a birthday day, and two company wellness days
- Parental leave
- Two paid company-wide wellness days each year
- A paid day off for your birthday
- 40 hours of paid volunteer leave each year
- Confidential Employee Assistance Program available 24/7/365 at no cost
- Zurich Travel Assist protection for business travel
- Cash referral bonuses
- Comprehensive medical and dental insurance based on location
- Retirement or pension plans based on location
- Life or accident coverage based on location
- Prague Karlín workspace with an inspiring setting and complete technology setup
- 200 m² terrace overlooking Prague Castle
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