Machine Learning Engineer, fifty-five
2+ days a week in office
Helps brands leverage data & technology
Open for applications
Helps brands leverage data & technology
501-1000 employees
Open for applications
2+ days a week in office
501-1000 employees
Company mission
To help brands build and develop their brands better, faster and cheaper.
Role
Who you are
- Graduated from a leading institution with a specialisation in a STEM field, you have 2–3 years of experience in data science. Demonstrated proficiency in data science missions and have successfully delivered complex machine learning projects
- Analytical and proactive mindset
- Proficient with both python and SQL
- Understanding of data science algorithms, how to train and evaluate them comprehensively
- Good working practices, such as code versioning and familiarity with CI/CD
- Ability to explain technical solutions clearly to non-technical or less technical stakeholders
- Some experience working in the cloud, such as GCP or AWS is a plus
- Fluency in English
What the job involves
- Within the Data Science team, you will actively participate in projects carried out by fifty-five on behalf of its clients. These projects encompass the application of machine learning methods to optimise site conversion rates and enhance the performance of the digital media mix for leading advertisers
- As an ML Engineer, you must master machine learning techniques to address a wide range of use cases while considering client activation constraints
- Innovation will be central to your work, as you continuously enhance the performance of fifty-five’s offerings and adapt to new tools and constraints (such as privacy considerations)
- You will collaborate closely with Data Engineers and Data Analysts and will play a role in helping them develop their skills
- Design, develop, and maintain data science solutions for our clients (scoring models, time series models, attribution models, etc.)
- Conduct scientific research to foster innovation in daily projects
- Implement data transformation and processing logic to ensure high-quality, reliable data is available for analysis and reporting
- Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal impact on business operations
- Collaborate with internal consulting and client teams to understand data requirements and deliver data solutions that meet business needs
- Effectively engage with clients at all levels, translating complex technical concepts into clear, actionable insights and maintaining strong relationships throughout project lifecycles
Salary benchmarks
Our take
Marketers know they can do more with their data to improve how they target and address customers - but many find these new processes hard to adopt. fifty-five is helping brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention.
fifty-five operate with data across the whole lifecycle and from every touchpoint, bringing it altogether to help inform smarter strategies. The company is a certified Google Partner company and was named by Deloitte as one of the fastest-growing tech firms in Europe. It has served the likes of L’Oreal, Danone, AXA and Orange among its clients.
Amidst record growth in 2022, fifty-five underwent a stylish rebrand and product expansion to bring new services to its clientele. This cemented its position as a strong option for businesses who want to make the most out their data for a competitive edge.
Freddie
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Company benefits
- Being part of a multicultural, dynamic and fast-growing team
- Continuous (and certified) training on the digital ecosystem and technologies (initial training for all new employees, followed by recurring training sessions)
- Phone allowance
- Private medical coverage through AXA
- The flexibility to work remotely for part of the week – this will continue post Covid
- Company pension plan
- Company-sponsored sporting and social activities
- Monthly Codecademy subscription – reimbursable upon completion of chosen training path
- UnMind App subscription
- Transport for London travel card allowance – covering 50% of zone 1-2 allowance
- 25 days holiday per year, in addition to UK bank and public holidays
Company HQ
Saint-Georges, Paris, IDF
Leadership
Pierre Harand
(Co-CEO)They have been with the company for over a decade, as Director then Managing Director, Managing Partner then Co-CEO. Before this, they were Group Strategy Director at Canal+ and a Director at Microsoft.
Jean-François wassong
(Co-CEO & CTIO)They have been with the company for over a decade, as CTO then Partner then Co-CEO. Before this, they were a Technical Evangelist at google and Presales Manager at HP Autonomy.
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