Senior Data Scientist – Marketing(Only w2)

Senior Data Scientist – Marketing(Only w2)

Location: Remote (PST Support)

Minimum 12+ Years of Experience required.

Job Description

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.

Key Responsibilities & Required Skills

• Data Science & Programming:

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.

• B2B Marketing Analytics:

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.

• Marketing Technology Stack:

Experience with Salesforce, Marketo or similar marketing automation platforms, GA4, tag management, ABM and intent platforms, search intelligence tools, and advertising platforms.

• Scoring & Targeting Models:

Experience developing lead scoring, weighted intent scoring, propensity models, account prioritization, buying-group detection, next-best-action logic, and customer targeting solutions.

• Buyer Journey & Identity Resolution:

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.

• Causal Inference & Experimentation:

Strong knowledge of experimental design, A/B testing, holdout testing, incrementality measurement, causal inference, difference-in-differences, matching, synthetic control, and uplift modeling.

• Marketing Attribution & Budget Optimization:

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.

• Machine Learning & Statistical Modeling:

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.

• Analytics Products & Visualization:

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.

• Privacy & Compliance:

Understanding of consent management, cookie restrictions, GDPR, and regional data privacy requirements, including EMEA, and their impact on data collection, modeling, and activation.

• Stakeholder Management & Communication:

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.

• Problem Solving & AI Tools:

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.

Education

Bachelor's, Master's, or PhD in Data Science, Statistics, Economics, Marketing Analytics, Mathematics, Computer Science, or a related quantitative field.

If I missed your call ! Please drop me a mail.

Thank you,

Harish Jannela

Talent Acquisition

Astir IT Solutions, Inc - An E-Verified Company

Email:[email protected]

Direct : 7326946000*788

50 Cragwood Rd. Suite # 219, South Plainfield, NJ 07080

www.astirit.com