Analytical Statistics Expert Data Scientist – Analyst

Job Title: Analytical Statistics Expert / Data Scientist – Analyst

Department: Analytics / Data & AI / Strategy

Employment Type: Full-time

We are looking for a highly skilled Analytical Statistics Expert / Data Scientist – Analyst to transform raw complex datasets into actionable business intelligence. You will leverage statistical modeling machine learning algorithms and advanced analytical techniques to solve complex business problems optimize operations and drive data-driven decision-making across the business.

• Statistical Modeling & Analysis: Apply advanced statistical techniques (e.g. hypothesis testing regression analysis time-series forecasting multivariate analysis) to extract meaningful insights from large datasets.

• Machine Learning Development: Design build and deploy predictive and prescriptive models using Python or R to solve core business challenges.

• Data Pipelines & Cleaning: Collaborate with data engineers to extract clean feature-engineer and structure structured and unstructured data.

• A/B Testing & Experimentation: Design execute and analyze statistical experiments (A/B testing multivariate testing) to evaluate business initiatives and product features.

• Visualization & Communication: Translate complex analytical models into clear executive dashboards reports and data visualizations (e.g. Power BI Tableau).

• Cross-functional Collaboration: Partner with product operations and business stakeholders to translate business questions into quantitative analytical frameworks.

• Education: Master’s or PhD/Bachelor’s degree in Statistics Applied Mathematics Data Science Economics Computer Science or a related quantitative field.

• Experience: 3 years of hands-on experience in statistical analysis predictive modeling or data science roles.

• Technical Skills:

  • Proficiency in Python or R and SQL.

  • Strong mastery of statistical methods hypothesis testing and probability.

  • Experience with visualization tools (Power BI Tableau) and ML libraries (pandas scikit-learn statsmodels).

• Soft Skills: Excellent problem-solving skills and the ability to explain complex quantitative concepts to non-technical business leaders.