Data Scientist

Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries.

We are seeking a talented and self-driven experienced Data Scientist to help advance our machine learning capabilities.This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact.

Responsibilities

• :Develop and implement state-of-the-art econometric and machine learning models for demand forecasting
• .Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability
• .Collaborate with cross-functional teams (including product, data engineering, and backend) to deploy ML systems in production
• .Mentor junior team members and promote best practices across modeling, experimentation, and code quality
• .Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives

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You’ll be a great fit if you have.

• ..5+ years of hands-on experience in data science and machine learning with a proven record of leveraging modeling into business outcome
• s.Proficiency in Python and its ML/data stack (e.g., PyTorch or TensorFlow, Pandas, NumPy, Scikit-learn, SQL
• ).Expertise in time-series forecasting, ideally Deep Learning based, preferably in demand prediction or related area
• s.Domain expertise in revenue management related pipelines, domains, problem
• s.Feature engineering, feature importance testing, per sample explainability based experienc
• e.Master’s or PhD in Computer Science, Machine Learning, Statistics, Engineering or a relevant fiel
• d.Publications in top-tier, peer-reviewed ML/AI venues (e.g. ICLR, ICML, NIPS, etc
• .)Solid understanding of ML production workflows (versioning, testing, reproducibility, and deployment
• ).Excellent communication and collaboration skill

s.Nice to hav

• e:Experience applying ML in domains like finance, trading, reinforcement learning, or NL
• P.Familiarity with cloud based solutions on GCP platform (e.g., Vertex AI, PubSub, Cloud Run Functions
• ).Strong data visualization and exploratory data analysis skill
• s.Familiarity with code optimization, containerization (e.g., Docker), CI/CD, or cloud-native architecture
• s.Participation in competitive programming or data science challenges (e.g., Kaggle

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If you're excited about building impactful AI systems in a high-growth startup environment, and want to help redefine how industries price, forecast, and optimize, we’d love to hear from y