Data Scientist

4 weeks ago

Hyderabad Telangana, India DAZN Full time

**Job Title**:

- Data Scientist**Location**:

- Hyderabad, India**Schedule**:

- Full-Time, Permanent**Team**:

- 84-604 - Media - Ad Operations**Department**:

- A - Dept HM uses to open req**What's your new role about?**:
**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

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