Senior Data Scientist
🔒 Confidential Employer
Posted 19 January 2025
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Data Science, Machine Learning, Adtech
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion
SKILLS
Data analysis
Machine learning
Python
TensorFlow
PyTorch
SQL
Hadoop
Scala
Spark
Adtech/Martech industry experience
FULL DESCRIPTION
Job Title: Senior Data Scientist
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, and works well independently and in a cross-disciplinary start-up team.
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.
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