AuxoAI - Senior Data Scientist - Machine Learning

Location :

Responsibilities

• Lead the design and development of algorithms across ML, causal inference, and AI problem spaces
• Conduct exploratory data analysis, feature engineering, and statistical modeling with an emphasis on interpretability and reproducibility
• Benchmark and optimize models using advanced algorithms such as gradient boosting (XGBoost/LightGBM), survival analysis, Bayesian hierarchical models, causal impact analysis, and probabilistic graphical models
• Translate complex models into clear, scalable solutions in collaboration with engineering and product teams
• Establish best practices for experimentation, validation frameworks, and responsible AI across projects
• Mentor junior data scientists and foster a high-standard, knowledge-sharing environment
• Stay up to date with emerging techniques in optimization, causal inference, reinforcement learning, bandits, and MCTS
  

Requirements

• 6+ years of experience delivering production-grade statistical and machine learning solutions
• Strong foundation in hypothesis testing, Bayesian inference, and experimental design
• Proven experience with classical ML algorithms, including boosted trees, GLMs, survival models, and ensemble methods
• Proficient in Python and key libraries such as pandas/Polars, scikit-learn, and StatsModels
• Demonstrated ability to turn ambiguous business questions into measurable statistical models
• Ability to communicate insights effectively to both technical and non-technical audiences
• Exposure to MLOps tools and cloud-based environments is a plus
• Advanced degree (M./Ph.) in Statistics, Computer Science, or a related field