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# Senior Data Scientist

- **Company:** Titan, LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Information Engineering, Monitoring of Systems, Python (Programming Language), Machine Learning, NumPy, Cloud Services, Standard Sql, Management of Software Versions, Feature Engineering, Uncertainty Quantification (UQ), Model Validation, Scikit Learn, Xgboost, Machine Learning Operations, Drift Detection
- **Published:** November 3, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pwo98nhcmr

## About the Role

* 8+ years of professional experience in Data Science, Applied Statistics, Quantitative Research, Econometrics or a closely related field
 * Deep statistical expertise in sampling theory, estimation, inference, probability, uncertainty quantification and experimental design
 * Strong sample-to-population experience using techniques such as post-stratification, raking, calibration/propensity weighting, hierarchical models, or MRP
 * Hands-on ML lookalike experience using seed audiences, CRM/customer samples or known converters with propensity, classification, similarity/ranking or positive-unlabelled methods
 * Advanced ML & feature engineering skills across GLMs, XGBoost/LightGBM, ensembles, embeddings and large-scale behavioural datasets
 * Strong model validation skills including lift/gains, precision@K/recall@K, probability calibration, A/B testing, stability and drift monitoring
 * Advanced Python & SQL skills with scikit-learn, pandas/NumPy and experience with large-scale cloud data platforms and production ML/MLOps are highly desirable
 * Strong communication and quantitative foundations with a BS/MS in a relevant quantitative field; a PhD is advantageous but not required

## Description

You will combine Titan OS first-party data with seed audiences and population-level datasets, owning the methodology from research and experimentation through validation, productionisation and model monitoring. Working closely with Data Engineering, Product, Commercial and Advertising teams, you'll be a senior technical voice responsible for challenging assumptions, communicating uncertainty and setting rigorous modelling standards with direct commercial impact., * Build models that expand seed and sample audiences into high-value cohorts across the wider CTV population

 * Apply weighting, calibration, MRP and hierarchical methods to extrapolate reliably from imperfect or non-representative samples
 * Build propensity, classification, similarity, ranking and positive-unlabelled models to identify users with high affinity to a seed audience
 * Create robust behavioural and contextual features from large-scale event data while preventing target leakage and instability
 * Diagnose selection bias, coverage gaps and covariate shift, and communicate uncertainty in audience estimates
 * Measure lift, precision/recall, calibration and stability using holdouts, temporal/geographic tests and observed campaign outcomes
 * Move successful models into scalable pipelines with versioning, drift detection, monitoring and retraining
 * Partner with Product, Commercial and Engineering teams while setting rigorous modelling standards across the Data team