Data Scientist

5 months ago

Bengaluru Karnataka, India Hewlett Packard Full time

HP is the world’s leading personal systems and printing company, we create technology that makes life better for everyone, everywhere. Our innovation springs from a team of individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives.
We are looking for visionaries, like you, who are ready to make a purposeful impact on the way the world works.
**At HP, the future is yours to create**

About the Role:
This role is focused on optimizing online sales in leading Online Marketplaces of APJ (Amazon, Flipkart, Lazada, Shopee, eBay, etc.), maintaining data quality, and generating advanced reports with actionable insights. You will be responsible for curating and ensuring the accuracy of datasets, which in turn enables the creation of insightful, advanced reports. By analyzing user behavior, sales trends, and Amazon-specific performance metrics, you will provide HP with the data-driven insights needed to enhance customer experience, improve SEO, and boost conversion rates on the Amazon platform. Your expertise and efforts will be instrumental in driving incremental sales and market share on strategic HP product categories, solidifying HP's position as a leading technology brand in online marketplaces

**_ Job Scope_**
- Market Research: Stay up to date on industry trends and competitive intelligence. Will use this information to make recommendations for staying competitive in the e-commerce space.
- E-commerce Optimization: Collaborate with cross-functional teams to optimize the e-commerce platform, including product pages, user experience, and conversion funnels, to maximize sales and customer satisfaction.
- SEO Analysis: Track and improve the brand’s SEO performance by conducting keyword research, on-page optimization, and monitoring content health.
- Data Quality Assurance: Ensure data accuracy, integrity, and consistency within the e-commerce database. Identify and resolve data-related issues.
- Advanced Reporting: Create advanced, automated, and interactive reports and dashboards in Excel, Power BI, or similar products to track e-commerce KPIs, such as traffic, sales, and conversion rates and provide regular updates to stakeholders and leadership.
- Data Analysis: Collect, organize, and analyze e-commerce data to identify trends, opportunities, and areas for improvement. Use data to inform decision-making and create compelling executive presentations that effectively communicate valuable insights.
- Testing: Plan, implement, and analyze tests to optimize website elements, advertising campaigns, and product pages. Use results to improve performance.
- Predictive Analytics: Use historical data to create predictive models and forecasts for inventory management and demand planning.
- Cross-functional Collaboration: Work closely with marketing, sales, and product development teams to align data insights with business objectives.

**_ Responsibilities_**
- Mines data using modern tools and programming languages.
- Defines and implements models to uncover patterns and predictions creating business value and innovation.
- Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives.
- Ties insights into effective visualizations communicating business value and innovation potential.
- Maintains proficiency within the data science domain by keeping up with technology and trend shifts. Contributes to industry data science domain initiatives.
- Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance.
- Collaborates and communicates with project team regarding project progress and issue resolution.
- Communicates and drives data insights/innovation into the business.
- Represents the data science team for all phases of larger and more complex development projects.
- Provides guidance, training and mentoring to less experienced staff members.

**_ Knowledge & Skills_**
- Extensive experience using statistics, mathematics, algorithms and programming languages to solve big data challenges.
- Fluent in structured and unstructured data, its management, and modern data transformation methodologies.
- Ability to define and create complex models to pull valuable insights, predictions and innovation from data.
- Effectively and creatively tell stories and create visualizations to describe and communicate data insights.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills; mastery in English and local language.
- Ability to effectively communicate data insights and negotiate options at senior management levels.

**_ Scope & Impact_**
- Collaborates with peers, junior engineers, data scientists and project team.
- Typically interacts with high
- level Individual Contributors, Ma

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