Data Strategy Lead

5 days ago

Mumbai, Maharashtra, India beBeeFraud Full time US$ 1,50,000 - US$ 2,50,000
Job Title: Manager Data Science

We are seeking a skilled Manager Data Science to lead our team in developing impactful, data-driven solutions across the business.

This role combines technical expertise with strategic leadership to guide end-to-end project execution, from defining business problems to deploying models and delivering insights.

The manager will be responsible for aligning cross-functional stakeholders and ensuring the Risk strategy function contributes meaningfully to business growth and innovation.



### Job Description

Our team is responsible for partnering with global business units to manage a variety of risk types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing to our bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience.

In this position, you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data AL/ML models. You will partner with corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners.

### Required Skills and Qualifications

* 9-14 years of relevant experience working with large-scale complex datasets along with managing a team of 3-6 Data Scientists.
* Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions.
* Excellent communication skills, equally adept at working with engineers as well as business leaders.
* Want to build new solutions and invent new approaches to big, ambiguous, critical problems.
* Strong working knowledge of Excel, SQL, and Python/R.
* Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development.
* Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc).
* Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc, along with basic statistical concepts.
* Experience in managing a team of 3-6 Data Scientists to achieve overall analytic objectives of a project with speed and quality.
* Ability to collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction.
* Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions.
* Excellent communication skills, equally adept at working with engineers as well as business leaders.
* Want to build new solutions and invent new approaches to big, ambiguous, critical problems.
* Strong working knowledge of Excel, SQL, and Python/R.
* Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development.
* Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc).
* Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc, along with basic statistical concepts.
* Experience in managing a team of 3-6 Data Scientists to achieve overall analytic objectives of a project with speed and quality.

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