Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 7 days ago

Data Science Engineer III

Fetcherr33 open roles

Where
Atlanta
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData Science Engineer IIIFetcherr · Atlanta

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Fetcherr's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Fetcherr postings stay open a median of 14 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: first seen 7 days ago

Fetcherr median: 14 days open

The posting

Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. While Fetcherr initially focused on the airline industry, the company is now expanding into additional verticals, bringing its dynamic AI-driven optimization capabilities to new industries such as travel, mobility, retail, e-commerce, and beyond.

About the Role

This is not a pure research role but one that is actively involved in building our product. You will be joining a team of Data Science Engineers and you will be directly contributing to code. You will own well- scoped modeling problems end to end, from exploring market data and designing features to validating models and getting them running in production, so that our pricing, inventory, and network optimization engines make better decisions in real time. This is a high-impact individual contributor role at the intersection of applied AI and production software, working directly with other data scientists, ML and data engineers, and product teams.

What you will do:

  • Develop, validate, and iterate on demand forecasting, pricing, and optimization models using large-scale, high-velocity market data.
  • Explore and analyze data from diverse internal and external sources to uncover signals, define features, and identify opportunities to improve model accuracy and business impact.
  • Design and run offline experiments, backtests, and online evaluations to measure model performance and profit uplift.
  • Write production-grade Python code and work with ML and data engineers to productionize models, ensuring they are reliable, observable, and cost-efficient.
  • Monitor deployed models for drift, accuracy, and data quality issues, and troubleshoot and fix problems quickly.
  • Keep our glass-box principles front and center: build models whose logic and outcomes can be explained to commercial teams and customers.
  • Partner with product and commercial stakeholders to translate business problems into clear modeling approaches and communicate results.
  • Contribute to the technical direction of the modeling stack as Fetcherr scales across new customers, verticals, and product lines.

Requirements

  • 5+ years of full-time experience as a Data Scientist, Applied Scientist, ML Engineer, or similar role building models that run in production. Lab, proof of concept, prototype, academic, and part-time experience does not count toward this requirement.
  • Strong programming skills in Python, with production-grade coding practices (testing, code review, version control).
  • Solid foundation in statistics, machine learning, and time-series forecasting, with sound judgment on model validation and experiment design.
  • Strong SQL skills and experience working with large relational and non-relational datasets.
  • Experience and comfort with AI-assisted software development, along with the ability to write and reason about code yourself.
  • Experience with cloud platforms (GCP and BigQuery preferred) and modern data warehouse and lakehouse technologies.
  • Familiarity with orchestration tools (Airflow, Dagster) and CI/CD practices for ML and data pipelines.
  • Strong analytical mindset and a pragmatic, get-it-done approach.
  • Excellent collaboration and communication skills, comfortable working cross-functionally with engineering and product teams.

Nice to Have

  • Experience with dynamic pricing, revenue management, or optimization problems.
  • Experience in travel, e-commerce, logistics, or other real-time decisioning domains.
  • Exposure to MLOps practices such as model registries, monitoring, and automated retraining.
  • Experience with real-time OLAP engines such as ClickHouse.
  • Experience in a Software-as-a-Service environment.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Fetcherr's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Fetcherr's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Fetcherr's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.