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Principal Data Experimentation Specialist

Newcastle, Newcastle upon Tyne, United Kingdom
Data Engineer Data Scientist Data Analyst Insights Analyst
BBC
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Job Title: 

Job Band

Job Reference 18222
Job Band D
Contract type: Permanent
Location: Flexible Glasgow, London or Newcastle 
Salary: Up to £79,000 depending on relevant skills, knowledge and experience.

Introduction

We are looking for a Principal Experimentation Specialist to join the BBC Experimentation CoE team.


As a Principal Experimentation Specialist you will drive a culture of data-informed decision-making within product teams by leading the design, execution, and analysis of high-impact experiments. T

his role will act as the key advisor on experimentation strategy, working closely with cross-functional teams to optimize product performance and customer experiences.

The Principal Experimentation Specialist will not only focus on running A/B tests and other experimental designs but also shape best practices and build scalable frameworks that enable product teams to test hypotheses and learn rapidly.
 

Key Responsibilities

This role is crucial in creating a culture of experimentation through consistent, evolving process that informs decision making.  You will work with product teams across the BBC to create elegant solutions and templates that streamline operations and improve the ease to apply experimentation methodologies. 


•    Highly skilled in interpreting data and using insights to guide strategic decisions. They need to be able to assess experiment results objectively and drive the team to focus on evidence-based improvements.
•    Develop an understanding of our product, operations, systems and processes by interacting with product managers, engineering and business teams.
•    Work with the Product, Design, Engineering and experimentation teams to improve ways to identify, prioritise, design, implement and own the backlog of experiments.
•    Establish experimentation standards that promote consistency and best practices across the business, and communicate these standards effectively to the broader data team.
•    Work with the experimentation team to develop methods and tools that increase the rigor and efficiency of our experimentation platform and analyses that are constructed using causal inference techniques.
•    Partner with Design and Product to identify key questions and opportunities, and construct pragmatic agendas to guide hypothesis-based learning strategies to answer these question.
•    Work with the Data Platforms team to improve the processes, knowledge, and tools to support growing business demand for high-quality experimentation planning and execution.
•    Advocate for experimentation depth, rigor, and consistency across the data and business teams, and coach data team members on the principles of effective experimentation and inference

Are you the right candidate

Maintain a high level view of the experimentation activities across all products: You will be responsible for identifying, reviewing and communicating the key problems the business is trying to solve through experimentation.


•    Champion hypotheses definition and experimental design process across the product development lifecycle to capture all assumptions and decisions as hypothesis to test.


•    Collaborating with cross-functional teams: You will work closely with designers, product managers, data analysts, and engineers to define experiment goals, set up tracking and measurement, and interpret results.


•    Ensuring high-quality experiments: You will be responsible for ensuring that experiments are properly designed, executed, and analyzed, with the appropriate statistical rigor and validity.


•    Analyzing and interpreting results: You will be responsible for analyzing experimental results, interpreting their implications, and presenting them to stakeholders.


•    Communicating insights: You will be responsible for communicating insights and recommendations to stakeholders, including senior leadership, in a clear and actionable manner.


•    Staying up-to-date with experimentation best practices: You will be responsible for staying up-to-date with the latest experimentation best practices and tools, and sharing your knowledge with the broader team.


•    Driving a culture of experimentation: You will be responsible for driving a culture of experimentation, where everyone is encouraged to test assumptions and learn from their experiments.
 


Overall, your role as an experimentation specialist will be critical in helping the product teams drive growth, optimise user experiences, and achieve business objectives through data-driven experimentation.
Experience and skills


•    5+ years experience with statistical analysis and tools like Excel, SQL, R, or Python
•    3+ years experience in designing experiments, including A/B testing and randomized controlled trials, and an understanding of experimental design principles
•    Ability to formulate hypotheses and test them using statistical methods as well as testing tools
•    Excellent communication skills, both written and verbal
•    Problem-solving: strong problem-solving skills and ability to develop innovative solutions to complex problems
•    Project management: experience in project management and ability to manage multiple experiments simultaneously
•    Business acumen: understanding of business objectives and ability to align experimentation goals with these objectives
•    Attention to detail: detail-oriented with a strong focus on accuracy when analyzing data and designing experiments

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