Tiger Analytics - Director/Senior Director - Data Science (15-22 yrs)

Curious about the role What would your typical day look like :

We are seeking a deeply technical, hands-on Data Science leader with over 15 years of experience to spearhead complex predictive modelling, advanced analytics, and machine learning initiatives. The ideal candidate must have a strong foundational background as an expert Data Science practitioner who has evolved into a strategic leader.

While rooted heavily in classical Machine Learning, Deep Learning, and statistical modelling, you will also integrate modern Generative AI capabilities into the core data science toolkit. In this role, you will lead high-performing teams to architect, deploy, and operationalize robust, production-grade models that solve high-impact enterprise challenges.

Who do we expect :

- 15+ years of total experience in data science, predictive modeling, or advanced analytics, having spent significant time as a hands-on, code-writing practitioner.

- 5+ years of proven leadership experience managing, growing, and guiding specialized data science teams on production-level projects.

- Masters or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a highly quantitative field (preferred).

Core Technical Toolkit :

1. Advanced Data Science : Deep expertise in Machine Learning, Deep Learning, Python, TensorFlow, PyTorch, and classical statistical modeling.

2. Modern AI Extensions : Demonstrated proficiency in LLMs, RAG architectures, and fine-tuning pipelines.

3. Engineering & Scale : Strong hands-on experience with cloud platforms (AWS, Azure, GCP, or Snowflake), data pipelining, and operationalizing models via MLOps.

Domain Track Record :

- Prior success in executing production projects within highly analytical sectors such as Retail, CPG or Manufacturing is highly desirable.