Over the last decade Real-Time Bidding (RTB) created massive efficiency for the digital advertising marketplace in opening large volumes of inventory, driving down prices and creating the opportunity for smaller sites and apps to thrive. Today it has become a large $300B market that continues to grow at an accelerated pace with a supply chain that remains complex, fragmented, partly opaque and could be more efficient. In a context where decisions are increasingly made by technology, traditional processes do not apply and there is a need to bring automated technology solutions to what are essentially technology problems. 

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Fiducia is a UK company with a US subsidiary headquartered in London, that has been developing the platform of TAG TrustNet, a global cross-industry initiative, involving major trade associations in the US and the UK, and taking the industry to the next level. As an always-on industry transparency utility, TAG TrustNet is providing the tools to certify the supply chain and allow everyone to be accountable, make responsible decisions and improve efficiency.

 

TAG TrustNet is enabling this by automating the reconciliation of data across the supply chain and recording it in an immutable ledger as the Shared Truth: a unified record for every single ad running across the supply chain made available in near real-time. The recorded data can then visualised in the platform Supply Chain Monitor or exported over an open API.

 

Why work for Fiducia?

• Competitive salary and stock options

• Experienced and supportive team members 

• Fast track career development with a forward-thinking company

• Development of advanced high-impact technology
   

Role Overview 

We are looking for an experienced and highly talented individual to join the Fiducia engineering team to conduct strategic R&D projects, reporting to the CTO. The role is UK based, working remotely with occasional in-person meetings.
 

Our team conducts research and develops all core platform protocols and software components, including the implementation of patent pending architecture to support ultra-high transactional throughput, granular privacy management, fault-tolerance and an optimised infrastructure for the TAG TrustNet distributed network. We are using AWS cloud services and Java as primary programming language. 

The Fiducia Platform enables previously unseen capabilities in data-driven optimisations based on petabyte-scale datasets. We are looking for a Senior Data Scientist, who:

• Can translate requests from business and product into data science and machine learning solutions

• Has a track record in using state-of-the-art machine learning / AI advances in production systems

• Works well independently and in a cross-disciplinary start-up team

 

The Senior Data Scientist position combines a strong understanding of business and product objectives, hands-on data analysis and creation of machine learning models, as well as their training and application in production systems. Qualified individuals will have a solid background in the fundamentals of computer science, data analysis, machine learning, software development processes and best practices.

As part of a small team of high-end professionals, your ability to communicate technical ideas effectively, in oral and written forms, and solve complex problems with solutions to be implemented in a high-throughput production environment will be a critical part of the consideration process.  

Responsibilities 

• Work with business and product teams to identify and formalise business objectives that can be improved based on available datasets.

• Facilitate data analysis to identify optimisation opportunities and prioritise data research.

• Rapidly prototype machine learning models, including creation, training, feature selection, integration with third party interfaces and model evaluation to drive customised business objectives.

• Choose data processing technologies, implement production training and real-time model evaluation architectures.

• Design and execute experiments to assess and optimise model performance.

• Operate as a data analysis consultant for customers and communicate data findings across the team.

• Hands-on problem solving.

 

Qualifications 

• Must be hard working, team oriented, creative, friendly, cooperative, and an outstanding problem solver. 

• Min 3 year experience with data analysis and data science. 

• Min 1 year adtech/martech hands-on industry experience with a good understanding of the programmatic supply chain (relevant experience in fintech and other industries will also be taken into account).

• Practical software development and machine learning experience (e.g. python, tensorflow, pytorch).

• Familiarity with SQL and large-scale data processing technologies such as Hadoop, Hive, Impala, Scala, Spark etc.

• Technology leadership experience from defining market driven visions/goals to the implementation of solutions in a production environment in collaboration with cross-functional product and engineering teams.

• A degree in Computer Science (preferred) or related engineering field. MS/PhD is a plus.

• Good written communication skills, with ability to create high quality, easy to understand documentation and reports.