Data Scientist Engineer (US)

Atlanta, GA, US

Fetcherr

We offer an AI technology based on algo-trading methodologies that empowers our airline partners to redefine the way they price flights to maximize profit and optimize workflow.

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Description

Data Scientist Engineer

Fetcherr experts in deep learning, algo-trading, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.

We're looking for a Data Scientist Engineer to help us grow our data science team's capabilities. The ideal candidate is a data developer with a relevant experience who is self-driven, motivated, independent, and sharp.

You will take an active part in all development phases, including research, design, development, testing and deployment using technologies like Python, Docker, Airflow, Kubernetes and more.

Requirements

You’ll be a great fit if you have:

  • You’re a team player, ready to help others meeting aggressive timelines and motivate the team to meet the product deadlines
  • B.SC or Master’s degree in Computer Science / Statistics / Math / Engineering
  • Have 3+ years of experience developing / doing data science projects with Python
  • Fluent with libraries like pandas, numpy, scipy
  • Have a good understanding of data structures and databases
  • Follow best software engineering practices
  • Have a readiness and willingness to continuously learn while working

Nice to have:

  • Reinforcement Learning experience
  • Good intuition in Mathematical Optimization problems
  • Experience in MLOps
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Airflow Computer Science Deep Learning Docker E-commerce Engineering Kubernetes Mathematics MLOps NumPy Pandas Python Reinforcement Learning Research SciPy Statistics Testing

Perks/benefits: Career development

Region: North America
Country: United States

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