Senior Data Scientist, Software Engineering

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Company Overview

A global technology leader is dedicated to creating innovative products and services that enhance the user experience for hundreds of millions of customers worldwide. Its Software Engineering Data Science organization leverages large-scale diagnostic and usage data to generate actionable insights, support strategic decision-making, and drive continuous product improvement. Working across engineering, product, marketing, and finance functions, the team combines advanced analytics, big data technologies, and emerging AI capabilities to solve complex challenges at scale.

The organization is seeking a Data Scientist / Senior Data Scientist, Software Engineering to help transform large and complex datasets into meaningful insights that influence product strategy and development. This role involves applying statistical methods, data engineering principles, and analytical frameworks to drive data-informed decisions across software platforms and services.

The successful candidate will work closely with cross-functional teams to design scalable data solutions, conduct in-depth analyses, and communicate findings to both technical and non-technical stakeholders. This position also offers opportunities to leverage Generative AI and Large Language Models (LLMs) to enhance data science workflows and accelerate business impact.

Key Responsibilities

• Design and maintain foundational datasets, dashboards, visualizations, and reports that communicate key insights to leadership.
• Develop scalable metrics frameworks, data pipelines, and reporting solutions to measure product and feature performance.
• Partner with engineering teams to design and implement telemetry systems while maintaining strong privacy standards.
• Collaborate with cross-functional stakeholders across engineering, product, and marketing to identify opportunities for data-driven improvements.
• Lead rigorous analytical investigations to deepen understanding of software products and user experiences.
• Translate complex datasets into actionable recommendations that influence product decisions and strategic initiatives.
• Explore and implement Generative AI and emerging technologies to improve data science workflows and increase team efficiency.
• Architect and optimize scalable data processing pipelines to support large-scale analytics initiatives.
• Communicate analytical findings clearly through compelling visualizations, reports, and presentations.

Required Qualifications

• Bachelor’s degree in a quantitative discipline such as Computer Science, Statistics, Economics, or a related field, or equivalent professional experience.
• Strong proficiency in SQL and at least one programming language such as Python or R.
• Experience with data visualization platforms such as Tableau, Looker, or similar tools.
• 3+ years of experience in data science or a related analytical role, preferably within a technology-focused environment.
• Strong foundation in data engineering, product analytics, statistics, and machine learning.
• Experience working with distributed computing technologies such as Spark, Hadoop, or Flink.
• Excellent communication and collaboration skills with the ability to work effectively across technical and business teams.
• Self-motivated, intellectually curious, and comfortable navigating complex and ambiguous problem spaces.

Preferred Qualifications

• Experience incorporating LLM-driven workflows or Generative AI technologies into data science processes.
• Experience designing and building scalable data systems and analytics pipelines.
• Strong product mindset with a focus on improving customer experiences through data-driven insights.
• Ability to identify innovative approaches to solving large-scale analytical and business challenges.

Disclaimer

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