Data Scientist, tvbeat
Trailblazing a shift towards an audience first TV market place
Job no longer available
Trailblazing a shift towards an audience first TV market place
21-100 employees
Job no longer available
21-100 employees
Company mission
To provide TV media owners the capability to holistically forecast, plan, sell and measure all their TV inventory and audiences, resulting in new sources of TV advertising revenues.
Role
Who you are
- You are results oriented and analytical, with a client and business focus
- Ability to communicate and discuss technical topics with both technical and business audiences
- Strong sense of ownership, with a passion for software and continuous learning
- You are able to propose changes in our data practices and processes to improve effectiveness of the team, and lower any risk associated with accurate data delivery
- Knowledge of statistical reliability, engineering risk analysis, queueing theory, and analysis of time processes
- A demonstrable, inquisitive passion for data
- You love to promote the culture of experimentation and science!
- 4+ years ML industry experience or 3+ years ML industry experience + MS and/or PhD Excellent interpersonal and communication skills
- Minimum MSc education in STEM (Science, Technology, Engineering or Mathematics) BSc would be considered with additional and demonstrable experience
- Experience programming in Rust, C++, Python or related language
- Experience of building machine learning models for business application
- Programming skills sufficient to extract, transform, and clean large (multi-terabyte) data sets in a Unix/Linux environment
- Detailed and demonstrable experience in working with large scale data systems, data sources, organisation and storage. In addition to conceptual, logical and physical data modelling and flow
- Experience of working within an iterative SDLC (spells of 2 weeks from design to deploy)
What the job involves
- Contribute to data science projects and models whilst also ensuring they deliver business value and solve industry wide problems
- Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgment
- Leverage your knowledge around data sources, data organisation, cleansing and modelling to build data model pipelines to power TVBeat’s products
- Using your vision to identify, specify and implement opportunities for automation and other ways to improve efficiency, monitoring and intelligence
- Work with the Product and Engineering team to build robust, lasting, and scalable products Iterate quickly without compromising quality
- Understanding of API, data and processing pipeline design on all levels and with good guiding principles
- A type-based approach to API design: striving to write code that can be checked for correctness and consistency by the compiler
- Focus on API ergonomics, usability, and performance
- Ability to give and accept feedback on proposed solutions and implementations
- Rust (our web services are written using Actix)
- A combination of specialized in-house data storage engines, Redis, and SQLite
- Data Science tooling (R/Python/SaS/Knime)
- Nix for builds & deployments
- Angular and React for the front-end
Salary benchmarks
Our take
TVBeat is a London-based real-time television ratings platform that helps media companies manage their TV Ad Businesses. They process data for over 70 million devices across the globe every day.
The company differentiates itself through the provision of TV inventory management and yield optimization SaaS framework specially designed for TV Operators, networks and OTT players. The SaaS company aims to solve addressable and non-addressable TV challenges by providing holistic measurement, forecasting, planning, order management and optimization features that equip TV sell-side players with the tools they need to succeed in the TV business.
They currently operate in the United States, United Kingdom, Canada, Ireland, France, Spain, Belgium, Middle East and Scandinavia, counting Sky (UK), Canal+ (France), Proximus (Belgium) and Canal Digital (Scandinavia) among their clients. The next step for the company is to expand across America.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Jul 2017
$2.4m
EARLY VC
Mar 2014
$2m
SEED
Total funding: $4.6m
Company benefits
- Competitive salary
- 25 days holiday
- Remote or Hybrid
- Pension Contribution
Company HQ
Holborn, London, UK
Leadership
Robert Farazin
(CPO)Previously Foudner & CEO at Doublerecall, mmatcher and Tusmobil.
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