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Data Scientist Engineer (US)

Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 
Georgia (USA), United States

Offer summary

Qualifications:

B.Sc or Master's degree in Computer Science, Statistics, Math, or Engineering, 3+ years of experience in data science projects using Python, Fluency with libraries like pandas, numpy, scipy, Good understanding of data structures and databases.

Key responsabilities:

  • Participate in research, design, development, testing, and deployment phases
  • Utilize technologies like Python, Docker, Airflow, Kubernetes
Fetcherr logo
Fetcherr Scaleup https://fetcherr.io
51 - 200 Employees
About Fetcherr
Founded in 2019, Fetcherr is at the forefront of AI-driven solutions for the airline industry. Specializing in dynamic pricing and market forecasting, Fetcherr’s core product, the Generative Pricing Engine (GPE), leverages the Large Market Model (LMM) to optimize revenue and operational efficiency. The LMM simulates market dynamics, allowing the GPE to adjust and react in real-time to each part of the operational pipeline, from pricing to inventory management. Partnered with industry giants like Virgin Atlantic, WestJet, Azul, Royal Air Maroc and Viva Aerobus, Fetcherr’s technology empowers airlines to make real-time, data-driven decisions, ensuring a competitive edge and sustainable growth. Fetcherr’s AI-driven approach has demonstrated significant revenue generation uplift, transforming traditional revenue management processes and enhancing overall airline profitability.
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Job 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

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

KubernetesPython (Programming Language)Apache AirflowDocker (Software)Pandas (Python Package)SciPyRelational DatabasesData StructuresNumPy (Python Package)Mathematical OptimizationMLOps (Machine Learning Operations)Reinforcement Learning

Other Skills

  • Teamwork
  • Problem Solving
Are you interested?

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