Data Scientist

SHOULD YOU ACCEPT THIS CHALLENGE...

We're looking for a highly analytical and hands-on Data Scientist to drive segmentation, targeting, and next-best-action strategies that power B2B marketing and sales strategies. This role sits at the intersection of data science, marketing, and operation strategy—ideal for someone who thrives in fast-paced environments and is passionate about using data to personalize and scale customer engagement.

WHAT YOU'LL NEED TO BRING TO THIS ROLE...

Responsibilities

• 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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