What is Product Specialist – Data Analysis?
JazzCash – Digital Financial Services is looking for a passionate individual where they will be working closely with Product Managers, Tech and Business functions to develop, evaluate and optimize machine learning models using large data sets which will drive our credit scoring platform. You will have the opportunity to solve existing business problems pertaining to digital lending and the system itself that would drive the entire digital lending ecosystem, collaborate with cross functional teams, and deliver future innovation strategies that would pave the way for the development of new products in the future.
We are seeking a skilled individual who can help shape the strategy and execute against a bold and aggressive roadmap to support rapidly scaling business operations.

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 does Product Specialist – Data Analysis do?

• Help the team identify and resolve problems while keeping in view both the product and technical aspects and contribute to building a culture that thrives on solving problems through a data driven approach.
• Encourage the team to experiment with new ideas that engage our customers, help customers grow, and let us learn.
• Partner closely with Design, Product Management, and other teams within core product and across Jazz Cash to identify the highest-impact opportunities to accelerate the product and user experience.
• Wear the customer hat, understand their pain points and agility to solve their problems with both speed and accuracy.
• Grow the team’s capabilities through career development of the current engineers and strategic hiring.
• Comply with industry standard coding practices and other activities related to code standardization, review, documentation, integrity, and security.

Jazz is an equal opportunity employer. We celebrate, support, and thrive on diversity and are committed to creating an inclusive environment for all employees.

Requirements:
What are we looking for and what does it require to be Product Specialist – Data Analysis?

The ideal candidate would have:

• 1-3 years’ of experience in statistical modeling, applying/optimizing Machine learning models and ideally a complete understanding of the entire Machine learning life cycle right from Exploratory Data Analysis to Deploying ML models into production. (Experience in FinTech domain would be an added plus.)
• Master’s/Bachelor’s in Data Science, Statistics, Computer Science (focused on ML and AI)
• Excellent understanding and grasp of mathematical and statistical concepts especially related to credit risk modeling.
• Possessing an analytical approach towards handling business problems coupled with logic and reasoning.
• Theoretical as well as practical knowledge of ML algorithms: linear/logistic regression, Decision Trees and Forests, Classification Algorithms (KNN’s, SVM’s, LDA’s, Naive Bayes) and Clustering techniques.
• Knowledge of deep learning architectures such as LSTM, RNN and CNN and Transformer based models would be an added plus
• Familiarity with Big data frameworks like Apache Spark and deploying models into production would be added plus
• Must have worked with popular Python ML/DL tools/libraries such as Scikit-Learn, Pytorch, TensorFlow, Pandas, NumPy visualization libraries such as Matplotlib, Seaborn, Plotly.
• Experience designing and managing Analytics dashboards on Tableau, Power BI.
• Excellent understanding of databases and proficiency in SQL.
• Very good at presenting our analysis and insights to a broad audience, which may include project managers and technical leads and senior executive management.
• Communicator with the ability to present succinct and well-articulated thoughts at internal and external platforms.

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.
Our core values include qualities essential for a positive organizational culture – truthfully guiding entrepreneurial and innovative mindsets, harnessing professional and interpersonal collaboration, and fostering across-the-board customer-obsession.
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.