The opportunity You will use data to help product, marketing and engineering teams achieve operational and execution efficiencies. Your success is predicated on finding opportunities and providing insights that enable our enterprise business to lower customer churn, increase user engagement, and facilitate product-led growth. We are looking for a Staff Data Scientist to improve the adoption and utilization of all our Experience Cloud products.

The opportunity is huge, ranging from crafting experiments, and building machine learning models to developing current product features. We need a creative self-started who is passionate about data and has an established track record in using data science to enhance customer experience.

What you will do In collaboration with a multi-functional group of product managers, marketers, and software developers, you will tap into the underlying clickstream data, align on metrics, and generate insights to develop valuable, highly effective programs for Experience Cloud products. You will analyze data to measure changes in user engagement which are key drivers of customer growth and retention. You will work closely with causal inference and machine learning leaders to measure the impacts of new product features and user engagement programs or drive in-product personalization.

You will also work with data engineers to automate data pipelines and scale experimentation.



You will build relationships across the Experience Cloud business unit to promote our team's capabilities and tools and drive impact What you need to succeed · Experience with building and deploying Machine Learning models on platform like Databricks · Robust understanding of Statistics & Hypothesis Testing · 6+ years of work experience in data science or another related field · Strong Proficiency with statistical programming software like Python (pandas, scikit-learn) and/or R (dplyr, ggplot2) · Experience in querying, manipulating, and analyzing large data sets using SQL and/or SQL-like languages. · Experience working with Data Engineers to setup ETL/ Data Pipelines and Automate projects · Ability to slice & dice data, translate analysis results into insights, and present business recommendations to partners · Ability to identify business opportunities and dissect them from different angles, and you know how to connect the dots and interact with people in various roles and functions · Communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds · Ability to work with multi-functional teams and juggle through parallel priorities · Ability to work in an ambiguous environment with strong problem-solving skills Nice to have · Proficient in using Apache Spark for big data processing and analytics · Good understanding of experimental design and measurement (A/B Testing) · Familiarity with Web Analytics / Clickstream data · Knowledge of B2B analytics or B2B customer lifecycle

📌 Staff Data Scientist (Bengaluru)
🏢 Trigent Software
📍 Bengaluru