Job-Data Science Product Manager-reputed IT company-Hyderabad, Telangana, INDIA-upto 40 LPA-Chitra

JOB DETAILS

Job Description

As the Product Manager for the Measurement Data Science products, you will drive important and strategic data science initiatives from creation through execution. You will focus on managing the product development life-cycle of the Multi-Touch Attribution framework that uses all customer touch points and enables accurate attribution of new product acquisition and cross-sell events. You will also guide development of other strategic data science / ML products such as Marketing Mix Models and Enterprise Value Measurement Models.

You will be in a unique position of having multiple teams as your core customers (Global Marketing, Finance & Strategy, Product, Product Marketing, Sales, Account Management). You will lean on an accomplished Data Science team with an experienced Machine Learning Engineering Manager to ensure that our Data Science products provide remarkable experience and accuracy to the internal teams and help foundational planning and investment decisions. You will need strategic thinking, methodical execution, and superb stakeholder management in addition to expertise in Marketing Attribution, Digital Marketing and Data Science. If you're looking for the rare opportunity to make foundational impact on Square's go-to-market strategy and develop strategic data science products, you will find this role compelling and rewarding.

You will :

• Set the vision, roadmap, and direction for the Data Science products in tight collaboration with the Global Marketing and teams
• Lead the planning, scoping, and prioritization of projects to achieve all of our goals
• Gather requirements, determine features, write product specs, refine feedback, help write test plans, manage the backlog, and ship quickly
• Represent the team with cross functional partners and senior company leaders to align resources and prioritization
• Drive accuracy of Data Science products leading to their enterprise-wide adoption
• Educate others on Data Science products and capabilities
• Foster an environment that enables the Data Science team to execute quickly while maintaining a high standard for quality

Qualifications

Even better :

FUNCTIONAL AREA

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