Senior Decision Science & Algorithm Engineer

About the role

muSharp is looking for a Senior Decision Science & Algorithm Engineer to build mathematical models, statistical algorithms and data-driven decision-making frameworks across its business systems. The candidate works with data from enterprise systems such as project management, HR, operations and business management platforms, identifying patterns, distributions, correlations and anomalies and turning them into models and algorithms that support better organizational decisions. The role is full-time, hybrid/on-site in Lahore, and requires 5-8 years of experience.

Key responsibilities

• Analyze structured and unstructured data from enterprise systems
• Identify statistical distributions, including power-law, Pareto and heavy-tailed phenomena
• Develop mathematical equations and statistical models for relationships, patterns and business behavior
• Design algorithms that turn statistical findings into actionable decisions
• Build predictive models for project performance, resource allocation, employee performance, operational efficiency and business outcomes
• Apply statistical techniques to find high-impact variables and disproportionate contributors
• Develop scoring, ranking, classification and prioritization algorithms
• Validate models with historical data, statistical testing and backtesting
• Integrate algorithms into existing applications via APIs and data pipelines, and continuously monitor and improve their accuracy

Required profile

• Strong understanding of probability theory and statistics
• Expertise in statistical distributions (power law, Pareto, normal, log-normal, exponential)
• Knowledge of regression, correlation, hypothesis testing and statistical inference
• Experience with predictive modelling and machine learning
• Knowledge of optimization algorithms and mathematical modelling
• Preferred: Master's or PhD in Statistics, Applied Mathematics, Data Science, Computer Science, Physics, Operations Research or a related field
• Preferred: experience building decision-support systems, enterprise data and BI platforms, causal inference, Bayesian statistics, time-series analysis and optimization

Required skills

• Strong Python programming
• NumPy, Pandas, SciPy, Scikit-learn
• SQL and database management
• Data visualization and analytical reporting