Data Scientist

Pure Storage

4 - 9 years

30 - 35 Lacs

bengaluru

Posted:None| Platform:

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Skills Required

computer science web analytics analytical marketing operations regression analysis customer engagement forecasting analytics crm sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

Extract, clean, and prepare data from various sources (CRM, Marketo, web analytics, etc.) for analysis.
Apply statistical methods hypothesis testing, correlation, forecasting, regression, sampling, time series analysis to understand the drivers of marketing performance and improve pipeline efficiency.
Implement analytics strategies to understand buyer behaviors, segments, and channels across solutions.
Conduct time series or regression analysis to identify trends, and understand seasonality in B2B customer behavior.
Map multi-touch customer journeys to identify key behavioral signals that influence engagement, opportunity creation. and conversion
Perform causal inference and experiment analysis to assess marketing lift and channel effectiveness.
Collaborate with marketing and sales stakeholders to understand their business questions and translate them into analytical frameworks
Build dashboards and reports and enable marketing teams with self-serve analytics tools for activation and performance monitoring.
Partner with Marketing Operations to embed insights into MAP and CRM workflows.

Skills & Qualifications

4+ Years of Experience in Data Science, Marketing Analytics or related fields in B2B
A degree in Statistics, Data Science, Economics, Computer Science, Math or a similar domain
Experience applying data science best practices to B2B marketing use cases such as lead scoring, propensity models, journey analytics, and account prioritization.
Deep understanding of statistical analysis, segmentation techniques, and machine learning (e.g., regression, clustering, classification, uplift modeling).
Ability to translate complex analytics into business action across marketing and sales.
Comfortable working cross-functionally and presenting insights to non-technical stakeholders.
Strong skills in Python (pandas, scikit-learn, seaborn/matplotlib), SQL, Google Sheet and Tableau.
Familiarity with CRM/MAP, and Intent platforms (6sense, Bombora etc).
Exposure to causal inference, experimentation (A/B testing), or time-to-event modeling.
We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure s policies, unless you are on PTO, or work travel, or other approved leave.

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