Data Scientist

Data Scientist – Browser Analytics Location: Remote Type: Contract About the Team This role is part of a data science team within a leading browser organization. The team focuses on analyzing business and user engagement metrics, helping the organization understand trends in customer acquisition, engagement, and retention. You’ll work closely with cross-functional groups including product, engineering, business, and finance teams to drive insights that inform growth strategies. Key Responsibilities • Contribute to weekly business metric reporting by analyzing data movements, building and maintaining dashboards, and effectively communicating results. • Process and analyze large datasets, usage funnels, and long-term trends using statistical and machine learning techniques. • Conduct exploratory analyses and hypothesis-driven modeling to identify opportunities, pain points, and customer journey patterns. • Provide actionable recommendations to leadership to improve customer satisfaction, acquisition, engagement, and retention. • Collaborate with data scientists, developers, product managers, and business partners across functions to support business growth. Typical Day Breakdown • 50% – Data analysis of internal metrics and user behavior using various tools and methods. • 40% – Data science work including modeling, hypothesis testing, and extracting insights with scripting languages and big data infrastructure. • 10% – Business intelligence and reporting using Power BI, Excel, and other tools. What Makes This Role Exciting • Work on a browser product with billions of global users and significant industry impact. • Be part of a team that values collaboration, respect, and professional growth. • Exposure to cutting-edge AI and data-driven technologies, with opportunities to influence key business decisions. Candidate Requirements • Education: Bachelor’s Degree in Computer Science, Statistics, Data Science, Mathematics, Econometrics, Economics, or related field. • Experience: 2–4 years of professional experience in Data Analytics, Data Science, or Business Insights (candidates with more experience may also be considered). • Strong track record of working with data, building reports/dashboards, and delivering actionable insights. Required Skills 1. Scripting & Data Analysis – 2–4 years of experience with SQL, Python, R, or similar. 1. Big Data Platforms – 2–4 years of experience with Databricks, Cosmos, Azure, or equivalent. 1. Data Manipulation & Reporting – 2–4 years of experience in analytics, dashboards, and reporting (Power BI, Excel, or similar). Additional Qualifications • Strong written and verbal communication skills. • Demonstrated ability to solve problems and troubleshoot complex issues. • Proven ability to collaborate across multiple disciplines and deliver results. • Passion for working with data to drive business outcomes. Interview Process • 2–3 rounds of interviews including technical discussions and case-based data science questions. • Focus areas include fundamentals of data science, big data manipulation, and applied analytics.