​eBay is looking for an Associate Manager, Data Science to sign up for their organization in Bangalore, India. This position focuses on growing records-driven answers to beautify dealer performance, acquisition, retention, and increase on eBay’s platform.

Key Responsibilities:

• Data Analysis & Modeling: Analyze large datasets to discover developments and expand predictive models and tool studying algorithms geared toward optimizing supplier overall performance and engagement.
• Collaborative Strategy Development: Work cautiously with move-purposeful agencies to emerge as aware about improvement possibilities and increase strategies that help dealer success.
• Experimentation: Design and examine experiments to check interventions geared closer to improving supplier effects.
• Reporting Automation: Automate general overall performance reporting dashboards for actual-time tracking of provider metrics.
• Market Trend Monitoring: Stay updated on market traits, competitor strategies, and new methodologies in information technology to tell strategic decisions.

Qualifications:

• Educational Background: Bachelor’s or Master’s diploma in Data Science, Computer Science, Mathematics, Statistics, or a associated subject.
• Technical Skills: Proficiency in SQL, Excel, and data visualization gear; enjoy with programming languages together with Python or R is excessive best. ​
• Experience: 4+ years of analytics enjoy, with a examined song record in surrender-to-stop analytics, which include trouble definition and stakeholder have an effect on.
• Analytical Abilities: Strong trouble-fixing abilities with the functionality to interrupt down complex commercial employer issues and offer analytical solutions.
• Communication Skills: Excellent verbal and written communication competencies, able to conveying complex facts insights to both technical and non-technical audiences. ​

Preferred Qualifications:

• Machine Learning Expertise: Hands-on revel in with device learning frameworks including TensorFlow, Scikit-study, or PyTorch. ​
• Big Data Technologies: Experience with cloud-primarily based definitely systems (AWS, GCP, or Azure) and large data device like Spark or Hadoop.
• Visualization Skills: Experience in building dashboards the use of visualization gear like Tableau or Power BI.