Vaco by Highspring · 8 hours ago
Senior Data Scientist (Media & Sales)
Washington, DC
Full-time
Hybrid
Senior Level
$130K/yr - $145K/yr
5+ years expVaco by Highspring is seeking a Senior Data Scientist to lead the development and deployment of predictive models for a Sales Automation initiative. This role involves owning the entire data science lifecycle to create machine learning models that enhance sales strategies and drive revenue growth.
Staffing & Recruiting
Hiring Manager
Keri Beatty
Responsibilities
Own the full data science lifecycle for advertiser conversion modeling: problem framing, hypothesis design, feature engineering, model development, validation, deployment, and impact measurement
Translate complex analytics and machine learning outputs into consumable business insights by developing interactive dashboards (e.g., Tableau- or Power BI-style) and generating automated BI reports (Word, PDF, PowerPoint) to support executive decision-making and revenue strategy
Build and optimize predictive models to estimate advertiser probability of conversion using historical sales data, advertiser behavior signals, engagement metrics, and market trends
Leverage managed machine learning and predictive modeling capabilities through cloud platforms (e.g., Snowflake Cortex ML, Snowpark ML) to rapidly prototype, rigorously evaluate, and productionize advertiser conversion models, ensuring scalability, reliability, and alignment with sales and revenue use cases
Engineer robust features from multi-source advertiser datasets, including firmographics, engagement history, interaction patterns, and campaign performance; address data quality issues, missing values, and class imbalance
Develop classification models (logistic regression, gradient boosting, neural networks, ensemble methods) with strong emphasis on interpretability and business explainability for sales adoption
Design and implement model validation frameworks, including train/test splits, cross-validation, business-aligned metrics (precision, recall, AUC, lift), and rigorous back testing
Establish model governance and monitoring practices, including performance tracking, drift detection, retraining pipelines, fairness assessment, and clear documentation of assumptions and limitations
Create actionable conversion propensity scores and segmentation strategies that enable sales teams to prioritize leads, personalize outreach, and optimize resource allocation
Conduct A/B testing and incrementality analysis to measure the business impact of model-driven sales interventions and continuously improve conversion strategies
Translate complex model outputs into clear, executive-ready narratives and dashboards that inform sales strategy and revenue decisions
Partner cross-functionally with sales, marketing, and product stakeholders to understand requirements, prioritize high-impact opportunities, and design data-informed roadmaps
Mentor teammates on best practices in predictive modeling, statistical rigor, and responsible AI; promote a culture of experimentation and measurable impact
Qualification
Required
5+ years of applied data science experience with a proven track record of deploying predictive models in production
Demonstrated expertise in classification modeling and conversion or propensity prediction (e.g., lead scoring, customer acquisition, churn)
Hands-on experience with Snowflake, including Snowpark (Python) and/or Snowflake ML / Cortex ML
Advanced SQL skills for large-scale analytical datasets
Strong proficiency in Python (pandas, numpy, scikit-learn) and SQL
Experience with feature engineering on structured business data
Comfort navigating ambiguity, forming hypotheses quickly, and iterating toward high-impact solutions
Balanced mindset across rigor and speed, with clear understanding of trade-offs
Strong collaboration skills and ability to work cross-functionally
Commitment to responsible modeling practices, including transparency and fairness
Excellent communication skills with the ability to explain complex models to non-technical stakeholders
Preferred
Advanced degree in Data Science, Statistics, Machine Learning, or a related field
Prior experience in sales, marketing, or revenue analytics
Experience with cloud platforms (AWS, GCP, Azure) and big data tools
Familiarity with MLOps practices and production ML pipelines
Company
Vaco by Highspring
Vaco is the Talent Solutions division of Highspring, a leading global professional services organization.
5001-10000 employees
H1B Sponsorship
Vaco by Highspring has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
Funding
Current Stage
Late StageCompany data provided by crunchbase