Note: The job is a remote job and is open to candidates in USA. Astir IT Solutions, Inc. is recruiting for an unnamed client seeking a Senior Data Scientist focused on marketing intelligence and decision science. The role develops predictive models and production-ready analytical products to optimize marketing spend, measure campaign effectiveness, improve pipeline attribution, and support customer targeting.

Responsibilities

• We are seeking an experienced Senior Data Scientist to build marketing intelligence and decision science solutions that optimize marketing spend, measure campaign effectiveness, improve pipeline attribution, and drive customer targeting
• The candidate will work closely with Marketing, Data Engineering, and Data Product teams to translate ambiguous business problems into actionable recommendations, develop predictive models, and deliver production-ready analytical products that influence business decisions

Skills

• Minimum 12+ Years of Experience required
• 5+ years of quantitative analysis or Data Science experience, with strong hands-on Python, SQL, and cloud data warehouse experience, preferably Snowflake
• Ability to independently define analytical problems, conduct end-to-end analysis, and communicate business recommendations
• Strong understanding of the B2B marketing funnel, including campaigns, MQLs, opportunities, closed-won business, and retention
• Experience with demand generation, paid media, content syndication, account-based marketing (ABM), buying groups, and sourced versus influenced pipeline
• Experience with Salesforce, Marketo or similar marketing automation platforms, GA4, tag management, ABM and intent platforms, search intelligence tools, and advertising platforms
• Experience developing lead scoring, weighted intent scoring, propensity models, account prioritization, buying-group detection, next-best-action logic, and customer targeting solutions
• Ability to connect anonymous web activity to known individuals and accounts across GA4, Marketo, and Salesforce
• Experience with entity matching, deterministic and probabilistic identity resolution, match-confidence assessment, and evaluating the cost of false matches
• Strong knowledge of experimental design, A/B testing, holdout testing, incrementality measurement, causal inference, difference-in-differences, matching, synthetic control, and uplift modeling
• Experience with multi-touch attribution, Marketing Mix Modeling (MMM), Bayesian methods, time-series modeling, channel-mix optimization, marketing spend allocation, and demand creation versus demand capture analysis
• Hands-on experience with regression, regularization, classification, clustering, and tree-based models
• Ability to validate models, assess uncertainty, evaluate error costs, and establish thresholds based on business outcomes
• Experience building production-grade analytical products, dashboards, self-service tools, and scenario-planning applications that enable stakeholders to explore trade-offs and make data-driven decisions
• Ability to partner with data engineering teams to integrate models into the marketing technology stack
• Understanding of consent management, cookie restrictions, GDPR, and regional data privacy requirements, including EMEA, and their impact on data collection, modeling, and activation
• Ability to translate complex analysis into clear recommendations for marketing leaders, defend analytical methodologies to technical stakeholders, work effectively across matrixed teams, and drive adoption of recommendations
• Comfortable working with ambiguity, proactively identifying business opportunities, reviewing and validating analytical work produced by others or AI tools, and maintaining accountability for accuracy and business impact
• Bachelor's, Master's, or PhD in Data Science, Statistics, Economics, Marketing Analytics, Mathematics, Computer Science, or a related quantitative field

Company Overview

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