Data Scientist
About the job
Job Description
DAZN's advertising unit seeks an experienced Data Scientist to leverage data-driven insights and optimize advertising strategies. Responsibilities include developing and implementing advanced analytical models, algorithms, and statistical techniques to extract meaningful insights from large-scale advertising datasets; conducting exploratory data analysis to identify trends and opportunities; performing A/B testing and attribution modeling; designing and developing predictive models and machine learning algorithms to optimize ad targeting and campaign optimization; and collaborating with cross-functional teams to integrate data-driven solutions into the advertising platform. The ideal candidate will have expertise in Python, relevant libraries (pandas, numpy, scikit-learn, xgboost), experience building and deploying machine learning models into production, and strong SQL skills. Experience with data pipelines (Airflow & dbt) and CI/CD pipelines is also required.
Must have:
- Expert knowledge of Python & ML libraries
- Experience deploying ML models to production
- Data cleaning, preparation, feature engineering
- Strong SQL & data warehouse experience
- Experience with data pipelines (Airflow & dbt)
- CI/CD pipeline, Docker experience
Good to have:
- Deep Learning experience (PyTorch, TensorFlow)
- Advertising industry experience
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Data Scientist - Media
Job Summary: We are seeking an experienced and visionary Data Scientist to join our dynamic advertising unit at DAZN.. As a media Data Scientist, you will play a crucial role in leveraging data-driven insights to optimize our advertising strategies and maximize revenue generation. You will work closely with cross-functional data teams to develop and implement advanced data strategies, predictive models, and algorithms that drive effective advertising campaigns, targeting, and monetization.
Responsibilities:
Data Analysis and Insights:
Develop and implement advanced analytical models, algorithms, and statistical techniques to extract meaningful insights from large-scale advertising datasets.
Conduct exploratory data analysis to identify trends, patterns, and opportunities for improving ad targeting, user engagement, and campaign performance.
Perform A/B testing, attribution modelling, and other statistical analyses to measure the effectiveness of advertising initiatives and identify areas for optimization.
Predictive Modelling and Machine Learning:
Design and develop predictive models and machine learning algorithms to optimize ad targeting, ad placement, and campaign optimization.
Collaborate with cross-functional teams (ad operations, product, engineering) to integrate data-driven solutions into the advertising platform, improving ad inventory management, audience segmentation, and performance forecasting.
Evaluate model performance and implement strategies for model monitoring, validation, and continuous improvement.
What you bring to the Table:
- BS/MS in Computer Science/Statistics/Math or other STEM field
- Expert Knowledge of Python and relevant libraries as well as ML libraries (pandas, numpy, scikit-learn, xgboost etc.)
- Successfully build and deployed Machine Learning Models into production.
- Experience with data cleaning, preparation, feature engineering and model selection techniques
- Experience with CI/CD pipelines, Docker or Similar
- Strong SQL skills and the ability to perform data analyses using data warehouses (Including Experience with Data Pipelines for example with Airflow & dbt)
- Scientist Skillset: Fast Learner, curious and sense of detail
- Problem-solving skills and the ability to deliver concise, actionable solutions from disparate sources of data
Nice to have
- Some exposure to Deep Learning and relevant frameworks (PyTorch, FastAI or Tensorflow, Keras)
- Previous experience or knowledge of the Advertising space
At DAZN, we bring ambition to life. We are innovators, game-changers and pioneers. So, if you want to push boundaries and make an impact, DAZN is the place to be.
As part of our team,you'll have the opportunity to make your mark and the power to make change happen. We're doing things no-one has done before, giving fans and customers access to sport anytime, anywhere. We're using world-class technology to transform sports and revolutionise the industry and we're not going to stop.
DAZN VALUES – THE ‘HOW’ IN WHAT WE DO:
AMBITIOUS – people who want to make a big impact and drive DAZN forward.
INVENTIVE – people with bright ideas who deliver great new experiences for our customers – and improvements for our business. People who come up with better, simpler ways of doing things.
PASSIONATE – people who are proud of our product, our content and our business – and love to shout about it. People who love what they do and show commitment every day.
BRAVE – people who take difficult decisions to help us focus on improving DAZN, our performance and our results.
SUPPORTIVE – people who know that we achieve more as a team than as individuals. People value inclusion and look out for each other, helping their colleagues enjoy their work and develop their careers. People who consider others before making decisions.
At DAZN, we are committed to fostering an inclusive environment that values equality and diversity, where everyone can contribute and have their voices heard. This means hiring and developing talent across all races, ethnicities, religions, age groups, sexual orientations, gender identities and abilities.
Everyone has the opportunity to make change and impact our DEI journey by joining our ERGs: Proud@DAZN, Women@DAZN, Disability@DAZN and ParentZone.
If you’d like to include a cover letter with your application, please feel free to. Please do not feel you need to apply with a photo or disclose any other information that is not related to your professional experience.
Our aim is to make our hiring processes as accessible for everyone as possible, including providing adjustments for interviews where we can.
We look forward to hearing from you.
At DAZN, we bring ambition to life. We are innovators, game-changers and pioneers. So, if you want to push boundaries and make an impact, DAZN is the place to be.
As part of our team,you'll have the opportunity to make your mark and the power to make change happen. We're doing things no-one has done before, giving fans and customers access to sport anytime, anywhere. We're using world-class technology to transform sports and revolutionise the industry and we're not going to stop.
DAZN VALUES – THE ‘HOW’ IN WHAT WE DO:
AMBITIOUS – people who want to make a big impact and drive DAZN forward.
INVENTIVE – people with bright ideas who deliver great new experiences for our customers – and improvements for our business. People who come up with better, simpler ways of doing things.
PASSIONATE – people who are proud of our product, our content and our business – and love to shout about it. People who love what they do and show commitment every day.
BRAVE – people who take difficult decisions to help us focus on improving DAZN, our performance and our results.
SUPPORTIVE – people who know that we achieve more as a team than as individuals. People value inclusion and look out for each other, helping their colleagues enjoy their work and develop their careers. People who consider others before making decisions.
At DAZN, we are committed to fostering an inclusive environment that values equality and diversity, where everyone can contribute and have their voices heard. This means hiring and developing talent across all races, ethnicities, religions, age groups, sexual orientations, gender identities and abilities.
Everyone has the opportunity to make change and impact our DEI journey by joining our ERGs: Proud@DAZN, Women@DAZN, Disability@DAZN and ParentZone.
If you’d like to include a cover letter with your application, please feel free to. Please do not feel you need to apply with a photo or disclose any other information that is not related to your professional experience.
Our aim is to make our hiring processes as accessible for everyone as possible, including providing adjustments for interviews where we can.
We look forward to hearing from you.
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