Prodege, LLC · 2 days ago
Data Scientist
United States
Full-time
Remote
Mid Level
$150K/yr - $180K/yr
3+ years expProdege, LLC is a cutting-edge marketing and consumer insights platform focused on innovation in technology. The Data Scientist role involves developing and refining analytical and machine learning models to predict user behavior and optimize business outcomes, while collaborating closely with engineering teams.
Digital MediaE-CommerceBig DataCrypto & Web3AdvertisingAppsMarketingAnalyticsGift CardMarket ResearchMobileSearch EngineVirtual Currency
Responsibilities
Drive yield optimization through the ideation and development of machine learning models for recommendations, ranking and yield optimization use cases
Expand the application of machine learning across business functions through identification of opportunities and modeling, analysis, and offline evaluation
Leading feature engineering and defining key concepts to be formalized within the feature store
Partner with Product and other business stakeholders to frame business problems into well-defined modeling objectives and hypotheses
Select appropriate modeling techniques (e.g., classification, regression, deep learning, reinforcement learning) based on use case and data characteristics
Define success metrics and evaluation criteria that align model performance with business impact
Document modeling assumptions, tradeoffs, and intended use to ensure clarity, transparency, and alignment across teams
Perform analysis on large-scale behavioral and transactional datasets to identify patterns, drivers, and potential predictive signal
Engineer features from user behavior, lifecycle activity, offer attributes, and revenue data to support modeling objectives
Collaborate with ML team to ensure features properly registered within feature store
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
Qualification
Required
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/LightGBM, PyTorch, or TensorFlow)
Fluency in SQL and ability to work with large, event-level datasets in data warehouse environments (e.g., Snowflake, BigQuery, 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
Preferred
Hands-on experience managing ML deployments and designing feature stores and registries
Experience with AI/ML frameworks such as LangChain, LLMs, and HuggingFace
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/MaxDiff
Understanding of Bayesian statistics inference (e.g., PyMC)
Benefits
Medical
Dental
Vision
STD
LTD
Basic life insurance
Flexible PTO
Paid sick leave prorated based on hire date
Eight paid holidays throughout the calendar year
Option to purchase shares of Company stock commensurate with their position, which vests over four years
Company
Prodege, LLC
A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption.
501-1000 employees
H1B Sponsorship
Prodege, LLC 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
2025 (2)
2023 (4)
2022 (2)
2020 (5)
Funding
Current Stage
Late StageTotal Funding
$60MKey Investors
Great Hill PartnersTCV
2021-11-15Private Equity
2014-04-01Series A· $60M
2008-01-01Series Unknown
Leadership Team
Joe Picciano
President / Interim CEO
Angela Valley
SVP Revenue & Operations
Recent News
EIN Presswire
2026-02-04
Canada NewsWire
2025-10-30
GlobeNewswire News Room
2025-01-30
Company data provided by crunchbase