Senior Algorithm Engineer

2 weeks ago

Bengaluru, Karnataka, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Opportunity:

We are seeking a seasoned data scientist to lead strategic initiatives and apply advanced algorithms and scientific rigor to solve high-impact business problems.

This position requires someone who combines technical depth with curiosity and discipline, and enjoys mentoring others while translating complexity into clarity.

Key Responsibilities:

  • Lead the design and development of algorithms across machine learning, 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, 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, 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.

What We Offer:

A competitive compensation package and a collaborative work environment.

How to Apply:

Please submit your resume and cover letter to us.

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