Data Scientist

About the role

The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams.

What you'll do

• Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them…
• Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team to improve the data collection and quality
• Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals
• Define, implement, and train statistical, machine learning, deep learning and generative AI models
• Use software engineering best practices to publish model scores/insights/learnings at scale within the company

What you need

• 5–9 yrs of experience
• Machine learning
• LLMs
• Python
• Deep learning
• Statistics
• Spark
• Any graduate

Good to have

• BigQuery
• Product strategy
• Google Analytics
• Tableau
• Go-to-market