Manager Data Science

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 375 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.
Responsibilities: ? Provide business requirements and collaborate with internal teams on data capture strategy that will support advanced analysis and insights on sales pattern and consumer behaviour ? Design and implement data-driven systems that increase sales success ? Explore new data sources to add signal to existing models and develop models for new sales opportunities ? Define key sales performance metrics and create dashboards and reports that provide ongoing insight to business stakeholders ? Perform ad hoc and in-depth analyses and then reporting/presenting insights ? Surface insights on the sales conversion pipeline, customer segmentation, and customer success ? Develop advanced and predictive models such as customer segmentation, lead prioritization, churn prediction and assist sales teams in using these models ? Automate analyses and build analytics data pipelines via SQL and python based ETL framework ? Creating forecasts using operational and statistical tools and models ? Partner with regional heads of CSM to develop regional sales strategy Responsibilities: ? Provide business requirements and collaborate with internal teams on data capture strategy that will support advanced analysis and insights on sales pattern and consumer behaviour ? Design and implement data-driven systems that increase sales success ? Explore new data sources to add signal to existing models and develop models for new sales opportunities ? Define key sales performance metrics and create dashboards and reports that provide ongoing insight to business stakeholders ? Perform ad hoc and in-depth analyses and then reporting/presenting insights ? Surface insights on the sales conversion pipeline, customer segmentation, and customer success ? Develop advanced and predictive models such as customer segmentation, lead prioritization, churn prediction and assist sales teams in using these models ? Automate analyses and build analytics data pipelines via SQL and python based ETL framework ? Creating forecasts using operational and statistical tools and models Partner with regional heads of CSM to develop regional sales strategy

Responsibilities:

?????????? Provide business requirements and collaborate with internal teams on data capture strategy that will support advanced analysis and insights on sales pattern and consumer behaviour

?????????? Design and implement data-driven systems that increase sales success

?????????? Explore new data sources to add signal to existing models and develop models for new sales opportunities

?????????? Define key sales performance metrics and create dashboards and reports that provide ongoing insight to business stakeholders

?????????? Perform ad hoc and in-depth analyses and then reporting/presenting insights

?????????? Surface insights on the sales conversion pipeline, customer segmentation, and customer success

?????????? Develop advanced and predictive models such as customer segmentation, lead prioritization, churn prediction and assist sales teams in using these models

?????????? Automate analyses and build analytics data pipelines via SQL and python based ETL framework

?????????? Creating forecasts using operational and statistical tools and models

?????????? Partner with regional heads of CSM to develop regional sales strategy

Responsibilities:

• Provide business requirements and collaborate with internal teams on data capture strategy that will support advanced analysis and insights on sales pattern and consumer behaviour
• Design and implement data-driven systems that increase sales success
• Explore new data sources to add signal to existing models and develop models for new sales opportunities
• Define key sales performance metrics and create dashboards and reports that provide ongoing insight to business stakeholders
• Perform ad hoc and in-depth analyses and then reporting/presenting insights
• Surface insights on the sales conversion pipeline, customer segmentation, and customer success
• Develop advanced and predictive models such as customer segmentation, lead prioritization, churn prediction and assist sales teams in using these models
• Automate analyses and build analytics data pipelines via SQL and python based ETL framework
• Creating forecasts using operational and statistical tools and models

Partner with regional heads of CSM to develop regional sales strategy