Data Scientist
- Pure Storage
- 4 - 9 years
- Bengaluru
- 5 months ago
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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.
- 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Full Stack Data ScientistEmployement Type: Full timeContact Details:
Company: Pure StorageLocation(s): Bengaluru
Keyskills: Computer science Web analytics Analytical Marketing operations Regression analysis Customer engagement Forecasting Analytics CRM SQL
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Pure Storage
Pure Storage (NYSE:PSTG) helps innovators build a better world with data. Pures data solutions enable SaaS companies, cloud service providers, and enterprise and public sector customers to deliver realtime, secure data to power their mission-critical production, DevOps, and modern analytics environm...
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