Senior Manager, Data Scientist

In this exciting role, you'll play a pivotal role in driving business growth and innovation through data science. You'll leverage your expertise in AI and machine learning to develop advanced analytical models that solve critical business problems across various commercial functions.

What You'll Do:

• Advanced Analytics & Data Modeling:

  • Collaborate with business stakeholders to understand their needs and translate them into actionable data science projects.

  • Develop and implement a wide range of machine learning models, including recommendation engines, propensity models, and segmentation techniques.

  • Build and manage the full lifecycle of AI/ML models.

  • Perform data pre-processing, feature engineering, and exploratory data analysis to prepare data for modeling.

  • Develop automated analytics solutions and APIs for data access and integration.

  • Utilize big data ecosystems and optimize SQL queries to handle large datasets effectively.

  • Employ tools like Airflow/MLFlow to automate data pipelines and statistical methods.

  • Conduct comprehensive business analysis and translate data insights into actionable recommendations for strategic decision-making.

• Data Monetization & Revenue Generation:

  • Identify new business opportunities and revenue streams by leveraging data analytics and AI.

  • Develop data monetization strategies to maximize the value of Ooredoo's data assets.

  • Collaborate with diverse teams to create innovative data products for B2C and B2B markets.

• Collaboration & Communication:

  • Work closely with marketing, sales, and other business teams to ensure successful implementation of data science solutions.

  • Effectively communicate complex data insights and findings to both technical and non-technical audiences.

  • Share knowledge and models with peers across the organization to foster a collaborative data science environment.

• Technical Expertise:

  • Ensure the effectiveness and accuracy of new data sources and data gathering techniques.

  • Integrate new data sources into Ooredoo's big data platform.

  • Manage and govern access rights on data science platforms and data.

  • Integrate and share model outputs with various customer touchpoints and IT systems.

  • Stay up-to-date on the latest advancements in data science tools and technologies.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field from a reputable university.

• Master's degree in Data Science, AI, or a similar field (highly preferred).

• 7-8 years of hands-on experience in data science and machine learning.

• Telecom data science experience is a strong plus.

• Proven ability to translate business needs into data science solutions.

• Expertise in statistical analysis, machine learning algorithms (GLM/Regression, Random Forest, Boosting, Trees, etc.), text mining, and social network analysis.

• Experience in building and deploying automated data pipelines.

• Strong proficiency in Python, R, and other data science programming languages.

• Experience with deep learning frameworks like TensorFlow and Keras.

• Experience with big data platforms like Hadoop and Teradata.

• Excellent SQL skills.

• Strong analytical, problem-solving, and critical thinking skills.

• Effective communication and presentation skills.

• Ability to work independently and as part of a team.

Benefits (not provided, but can be mentioned in the cover letter):

• Competitive salary and benefits package.

• Opportunity to make a significant impact on the success of a leading telecommunications company.

• Work in a dynamic and innovative environment at the forefront of data science.

• Be part of a collaborative and supportive team of talented professionals.

• Continuous learning and development opportunities to enhance your skills.