Data Scientist Engineer, Fetcherr

Salary not provided

Docker

Kubernetes

Python

Airflow

NumPy

Pandas

Mid and Senior level

Miami

Demand prediction & algorithmic pricing engine

Be an early applicant

Demand prediction & algorithmic pricing engine

101-200 employees

B2BArtificial IntelligenceMachine LearningSaaSAutomation

Be an early applicant

Salary not provided

Docker

Kubernetes

Python

Airflow

NumPy

Pandas

Mid and Senior level

Miami

101-200 employees

B2BArtificial IntelligenceMachine LearningSaaSAutomation

Company mission

To disrupt traditional, rule-based (legacy) revenue systems through deep learning methodologies, beginning with the airline industry.

Job

Company

Role

Who you are

The ideal candidate is a data developer with a relevant experience who is self-driven, motivated, independent, and sharp
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

Desirable

Reinforcement Learning experience
Good intuition in Mathematical Optimization problems
Experience in MLOps

What the job involves

We're looking for a Data Scientist / Python Data Engineer to help us grow our data science team's capabilities
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

Our take

Despite the digital revolution being well underway, industries such as air travel have been slow to adopt new technologies - instead relying on old legacy systems and outdated practices. Fetcherr exists to bring tech-enabled, dynamic pricing to airlines, with other target industries in mind for the future.

With Fetcherr's platform, airlines can predict demand and optimize pricing, with an advanced ML-led algorithmic pricing system, real-time demand prediction, auto-pilot pricing support, and a host more features. The algorithms driving the product are tailored to the demographic of each client, and are trained on “several years” of bookings, flight schedules, availability, fares, events, weather, etc.

Predictive pricing is no new idea. In fact, the implementation of dynamic pricing for airlines has seen its fair share of debate - some claim it can open the doors for carrier collusion, and possible discrimination between consumers. Despite this, Fetcherr is certainly a strong option for airlines who wish to modernize their infrastructure, and has raised good funding to support business development, market expansion, and the growth of its presence in the US.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 5 rounds)

Jun 2024

$90m

SERIES B

Apr 2023

$12.5m

EARLY VC

Total funding: $113.8m

Company HQ

Netanya, Center District

Leadership

Roy Cohen

(Co-Founder & CEO)

Former Director of Product and Innovation at STK. Also previously the Director of Business Development at Sao Trade and Zicon.

Shimi Avizmil

(Co-Founder & CTO)

Previously co-founded AppMakers Software. Also worked as an R&D Manager at Matrix, and as a Senior Software Engineer at Velocity Systems.

Robby Nissan

(Co-Founder & CSO)

Previously Chief Customer Officer at Kibo, and Chief Creative Officer at Yehoshua\TBWA.

Uri Yerushalmi

(Co-Founder & Chief AI Officer)

Previously Managing Founder at Dopamine.ai, as well as CEO at WhiteBay Technologies and at Bullseye Central.

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