Senior Data Scientist

Key Responsibilities

• Design methods using Statistics and Time-Series Analysis.

• Work with EWMA, seasonal decomposition, statistical process control, change-point detection, hypothesis testing, and confidence intervals.

• Design methods that generalize across new metric categories without per-category tuning.

• Build production-quality data processing and automation solutions using Python.

• Perform advanced querying on large-scale warehouses using SQL, including:

• Window functions

• CTEs

• Complex joins

• Aggregations across multi-table schemas with millions of rows

• Work with NLP / Text Analytics for:

• Clustering

• Topic modeling

• Embedding-based approaches

• Identify emerging categories from unstructured text, including chat transcripts and support cases.

• Pull and correlate data across heterogeneous sources including:

• Data warehouses

• Jira

• Salesforce

• Google Calendar

• Slack