Senior Analyst - Data Science

Role Overview: As a Senior Analyst (Data Science) in the Workforce Insights Team, you will lead high-impact, end-to-end analytics initiatives that drive smarter, more strategic decisions across HR and business functions. This role is ideal for someone who excels in advanced statistical modeling, causal inference, and real-world problem-solving. You will architect robust analytical solutions, framing complex workforce challenges, designing scalable models, and experiments that deliver actionable insights. Key Responsibilities: - Frame ambiguous workforce problems into testable hypotheses - Choose fit-for-purpose methods and clearly communicate assumptions and limitations - Apply statistical techniques like hypothesis testing, regression, causal inference, survival/time-series, and ensemble methods - Utilize ML/NLP across structured and unstructured HR data - Design A/B or quasi-experiments when appropriate - Develop production-ready pipelines and models in Python/R with SQL - Publish decision-ready visuals in Power BI or equivalent - Establish reproducibility and monitoring with clear runbooks and documentation - Partner with data engineering on ETL/ELT and analytics engineering best practices - Handle HR data following data protection standards - Co-create problem statements, success metrics, and acceptance criteria with HR and business leaders - Communicate insights for non-technical audiences - Connect insights into decisions and outcomes - Lead medium-to-large analytics projects with minimal oversight - Coach peers on methods and code quality - Contribute reusable components and standards Qualifications: - Bachelor's degree in Statistics, Data Science, Engineering, Computer Science, or related field - 6-8 years of applied data science/advanced analytics experience - Proficiency in Python, R, and Power BI - Strong grounding in statistical modeling, causal inference, experimental design, and time-series analysis - Ability to translate complex analyses into clear recommendations - Excellent communication and storytelling skills (Note: No additional details of the company were mentioned in the job description.) Role Overview: As a Senior Analyst (Data Science) in the Workforce Insights Team, you will lead high-impact, end-to-end analytics initiatives that drive smarter, more strategic decisions across HR and business functions. This role is ideal for someone who excels in advanced statistical modeling, causal inference, and real-world problem-solving. You will architect robust analytical solutions, framing complex workforce challenges, designing scalable models, and experiments that deliver actionable insights. Key Responsibilities: - Frame ambiguous workforce problems into testable hypotheses - Choose fit-for-purpose methods and clearly communicate assumptions and limitations - Apply statistical techniques like hypothesis testing, regression, causal inference, survival/time-series, and ensemble methods - Utilize ML/NLP across structured and unstructured HR data - Design A/B or quasi-experiments when appropriate - Develop production-ready pipelines and models in Python/R with SQL - Publish decision-ready visuals in Power BI or equivalent - Establish reproducibility and monitoring with clear runbooks and documentation - Partner with data engineering on ETL/ELT and analytics engineering best practices - Handle HR data following data protection standards - Co-create problem statements, success metrics, and acceptance criteria with HR and business leaders - Communicate insights for non-technical audiences - Connect insights into decisions and outcomes - Lead medium-to-large analytics projects with minimal oversight - Coach peers on methods and code quality - Contribute reusable components and standards Qualifications: - Bachelor's degree in Statistics, Data Science, Engineering, Computer Science, or related field - 6-8 years of applied data science/advanced analytics experience - Proficiency in Python, R, and Power BI - Strong grounding in statistical modeling, causal inference, experimental design, and time-series analysis - Ability to translate complex analyses into clear recommendations - Excellent communication and storytelling skills (Note: No additional details of the company were mentioned in the job description.)