Machine Learning & Data Science Manager

Overview

Engineering Manager – Data Science & Machine Learning

Location: London, UK or Berlin, Germany

An industry leading adtech org is building ML products to solve new problem areas within adtech and its marketplace. Processing nearly 500 billion auctions per day they are building systems at scale.

The ML team is building products at the cutting edge of Traffic Optimization where they are now in territory that has little to no literature on.

A globally distributed team with the bulk of the Data Science & Machine Learning org in Berlin and London. Their Executives call the ML team the “secret sauce” to their evolution.

What’s in it for you?

• Salary £140-160k
• Hybrid Working environment
• Build at Scale – work on products that have greater volume than global search engines AND see direct impact through visible KPI's
• Buy in from Execs – No headaches around trying to get the smallest thing approved.
• Work in an environment that believes in constantly innovating with a product mindset (iterate, test then build)
• Progression Path

Check the below to see how to be successful in this role

What will you need to be successful?

As the Engineering Manager you will be the right hand of the VP of ML.

To succeed in this role you need the core 4 skills.

• Get into the heads of your engineers understand their strengths and weaknesses, empower them , grow them understand how changes can benefit them.
• You need to know how to make your team tick in sync and proven experience of doing this before.

2. Processes

• They are no longer a startup, moving from scrappy to self-sufficient & organized is a big goal for this Data Science team. Getting your team processes structured and self sufficient is a key piece of the puzzle for this hire to be successful.

3. Data Science & ML

• You need to know how these models work and all the different variables that can go wrong. Models outputs are not always correlating with high accuracy.
• While not expecting you have Spidey like senses the data science intuition of knowing that a models output may be missing something is really critical and saves them a lot of €€'s.
• While any ML org would love just to do R+D the team have to make money. So having successfully built and launched products in Machine learning is the final core skill for the Engineering Manager.
• Understand the challenges and how to of getting Data Science and ML models into production and the lifecycle of an ML product will help you achieve success in this role.

If you think you could thrive in this role get in touch via apply or drop me an email at

Seniority level

• Director

Employment type

• Full-time

Job function

• Information Technology

Industries

• Internet Marketplace Platforms and Advertising Services

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