Data Scientist

Location: California

The
** Data Scientist
** role with a focus on Predictive Modeling, is responsible for developing, evaluating, and refining analytical and machine learning models that predict user behavior and optimize business outcomes across our suite of products. This role focuses on modeling, feature development, and offline evaluation to support performance marketing, insights  and other strategic initiatives.
**** Qualifications** -*
* **** Detailed

Job Duties:

** (
* typical monthly, weekly, daily tasks which support the primary objectives*)
*** Leverage appropriate modeling frameworks and packages to build high performing predictive models
* Perform model tuning, validation, and comparison using appropriate metrics, cross-validation, and offline testing frameworks
* Interpret model outputs to assess business relevance, identify strengths and limitations, and validate against observed behavior
* Leverage appropriate frequentist and Bayesian approaches to measure model performance and define strategies for balancing exploration and exploitation
* Document modeling approaches, performance results, and learnings in model cards to support reuse, iteration, and long-term knowledge building
* Enable ML team to deploy models; collaborate on retraining and maintenance plans
**** The MUST Haves:**** (
* ex: job cannot be done without these skills, education, experience, certifications, licenses*)
* Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
* Three or more (3+) years experience performing deep data analysis and  training machine learning models
* Strong foundation in machine learning and statistical modeling (classification, regression, ranking, optimization)
* Experience with ranking, recommendation systems, and personalization models
* Fluency in Python and common ML libraries (scikit-learn, XGBoost/Light

GBM, PyTorch, or Tensor Flow)
* Fluency in SQL and ability to work with large, event-level datasets in data warehouse environments (e.g., Snowflake, Big Query, Redshift)
* Experience with feature engineering, model evaluation, and performance diagnostics
* Strong analytical reasoning and ability to translate business questions into modeling approaches
* Clear communication skills, particularly in explaining model results and tradeoffs to non-technical stakeholders
* Understanding of ML Ops concepts and the ability to collaborate effectively with ML Engineering and ML Ops teams
* Excellent attention to detail
* Proficiency in critical thinking and problem solving.
**** The Nice to Haves:** (
* preferred additional skills, education, experience, certifications, licenses*)
*** Hands-on experience managing ML deployments and designing feature stores and registries
* Experience with AI/ML frameworks such as Lang Chain, LLMs, and Hugging Face
* Worked with distributed data processing frameworks (Spark, Ray, Flink, Trino).
* Experience with ML experiment tracking (e.g., ML Flow)
* Experience in loyalty programs or performance marketing or market research
* Experience with contextual multi armed bandit algorithms or reinforcement learning
* Preference modeling methods used in Conjoint/Max Diff
* Understanding of Bayesian statistics inference (e.g., PyMC)
Prodege offers a comprehensive benefits package to US Full-time employees including medical, dental, vision, STD, LTD and basic life insurance. Employees receive flexible PTO, as well as paid sick leave prorated based on hire date. US Employees have eight paid holidays throughout the calendar year. Employees receive an option to purchase shares of Company stock commensurate with their position, which vests over four years.

Employers will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of
** FCIHO.*
* #J-18808-Ljbffr