Data Analytics & Engineering - Data Scientist V

Mindlance is a company 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 for new product innovation, and communicate findings to inform strategy.

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
• Build and maintain reproducible analyses, dashboards, and reporting to enable ongoing monitoring
• 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
• Ensure data quality through validation, documentation, and clear assumptions in analysis

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