Senior Data Strategist

2 weeks ago

Gurgaon, Haryana, India beBeeDataScientist Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

Business Intelligence Leader - AI Innovation

Job Description:

We seek a seasoned Business Intelligence Leader to spearhead AI innovation within our organization. As a technical visionary, you will leverage advanced algorithms and scientific rigor to drive strategic initiatives. You will apply machine learning, causal inference, Bayesian methods, and statistical modeling to solve high-impact business problems and guide AI-native product development.

About the Role:

In this position, you will combine technical depth with curiosity and discipline. You will enjoy mentoring others while translating complexity into clarity. The ideal candidate is someone who can design and develop algorithms across ML, causal inference, and AI problem spaces.

  • Main Responsibilities:
  • - Design and develop algorithms for 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, and Bayesian hierarchical 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
Key Qualifications:

To excel in this role, you will require:

  • Mandatory Skills:
  • - 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
  • Education:
  • - Advanced degree (M./Ph.) in Statistics, Computer Science, or a related field

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