Staff Data Scientist

Remote/onsite Description:- Company is seeking a temporary Data Scientist to support analytics and data-driven decision-making across cross-functional stakeholders. In this role, you will analyze large datasets, develop insights and measurement approaches for new product innovation and iterations, and communicate findings to inform strategy and execution. This is a temporary role and is not a full-time position at Comoany. Responsibilities:- • Analyze large, complex datasets to identify trends, opportunities, and key drivers of business outcomes. • Design and evaluate experiments (e.g., A/B tests), measurement frameworks, and KPI definitions. • Develop statistical and operational research models to support planning, forecasting, optimization, and prioritization • Partner with stakeholders to translate business questions into analytical approaches, and present results in clear, actionable narratives. • Build and maintain reproducible analyses, dashboards, and reporting to enable ongoing monitoring. • Ensure data quality through validation, documentation, and clear assumptions in analysis. Minimum Requirements:- • Experience applying SQL to extract, transform, and analyze large-scale data. • Proficiency in Python for data analysis (e.g., data wrangling, statistical analysis, modeling, automation). • Strong foundation in statistics (e.g., hypothesis testing, regression, inference, experimental design). • Knowledge of operational research techniques (e.g., optimization, simulation, decision analysis) and ability to apply them to real business problems. • Demonstrated ability to communicate technical findings to non-technical audiences and influence decision-making. • Ability to manage multiple priorities in a fast-paced environment and deliver high-quality work within defined timelines. Candidate Requirements: Must-Have Hard Skills: 1. Proven experience using DS skills to build 0 - 1 products 1. Python + SQL experience 1. Product strategy (new product experience Nice-to-Have Skills: 1. Data pipeline/Data Engineer background 1. Big Tech experience Additional Information: How many rounds of interviews:- 1 - 2 rounds (Behavioral + technical rounds)