Head of Data Science Job

Full time Full day
Head of Data Science will be responsible for developing a robust data science practice which will add value across all business areas at Jazz. Data Science team is part of the Data Services amp; Sciences Department within Data amp; Strategy division. The team is mainly responsible for solving business problems by applying data science methodologies on large sets of customer data.

We, as a team, are involved with all commercial stakeholders to deliver value to our customers by identifying hidden patterns, predicting subscriber activity, or developing affinities within our customer base. This is an opportunity for you to lead the biggest data science team in the telecom industry of Pakistan and learn from the best of the industry experts in the field.

The role reports directly to the Head of Data Services amp; Sciences and has 07 people reporting directly into it.

What does Head of Data Science do?
  • Develop a robust data science practice which adds value across business areas
  • Develop new models which create insights, predict subscriber behavior and apply data mining techniques to our data and create business value
  • Manage a team of passionate and motivated junior and senior data scientists
  • Provide guidance and a nurturing environment for Data Scientist of all experience levels to attract the best talent in the country
  • Provide thought leadership on how Data Science/Advanced Analytics can be integrated into various business areas
  • Having a deep understanding of the various business of Jazz and the associated data; develop experimental analytical solutions to support Jazz\'s vision/objectives
  • Develop Industry first Analytics Solutions for external data monetization
  • Stay abreast with upcoming developments of the field to be able to provide guidance and assistance to the leadership team
Jazz is an equal opportunity employer. We celebrate, support, and thrive on diversity and are committed to creating an inclusive environment for all employees.


What are we looking for and what does it require to be Head of Data Science?
  • A Bachelor\'s or Master\'s degree in Computer Science, Analytics, Applied Mathematics or Statistics, Econometrics, or closely related field
  • 8-10 Years of experience in solving complex business problems using data science, statistical techniques amp; machine learning to build predictive amp; prescriptive solutions across the customer journey
  • At least 2 years of experience in managing a team of data scientists
  • Demonstrated experience in executing on complex projects, extracting, cleansing, and manipulating large, diverse structured and unstructured data sets on relational SQL, NOSQL databases
  • Experience working in an agile environment with iterative development amp; business feedback
  • Experience providing insights to support strategic decisions, including preparing and delivering insights and recommendations
  • 3-4 years of experience with Python/R/SCALA, extensive knowledge and hand-on experience in statistical programming SAS/SPSS/MATLAB and data science toolkits Pandas/Jupyter/SCIKIT/Tensorflow
  • 3-4 years of experience applying machine learning solving real business and customer problems
  • Experience across Customer Success, churn retention, propensity analysis, customer health index, adoption, customer journeys, lifetime value, upsell, cross-sell, segmentation and profiles

Why Join Jazz?

As one of the leading employers in the country, Jazz epitomizes the philosophy that each Jazz employee is passionately living a better every day inspired and enabled by visionary leadership, a unique professional culture, a flourishing lifestyle, and continuous learning and development.

As one of the largest private sector organizations in Pakistan, our objective is to continue to change the lives of our 75 million customers for the better. This is an opportunity for someone who wants to be part of something transformative, someone who can play a critical role in driving our success. Together, we can empower millions more with the tools necessary to progress in an increasingly digital economy

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