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Data Scientist - Data Science/AI/Machine Learning

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Nick Bieler Principal Recruiter

Phone Work 4254400278
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Job Info

Category Data Science/AI/Machine Learning
Employment Type Full-Time Employment
Compensation $0.00 - $0.00
Location United States, WA - 98101

Client Introduction

We leverage our rich datasets to find solutions to problems ranging from safety to fraud. We’re a hands on team interested in the end to end data lifecycle: from wrangling data to understanding the tradeoffs between model complexity and deployment in production. If you’re passionate about solving complex problems with immediate real-world impact, we want you!

Job Description

Test and validate these insights via rapid experimentation and deployment
Generate multivariate statistical models to identify latent factors, preventive and preemptive capabilities that the trust framework requires

Job Responsibilities

Translate these intuitions into actionable, creative insights that produces heuristic or classification models to identify and take down those who violate our Terms of Services
* Test and validate these insights via rapid experimentation and deployment
* Develop creative algorithms by employing machine learning, and data mining techniques
* Contribute to team’s innovation and IP creation
* Build, validate, test, and deploy machine learning models (e.g. predictive, forecasting, clustering) using proven and experimental techniques. Deploy an online learning model where applicable
* Define hypotheses, develop and execute necessary tests, experiments, and analyses to prove or disprove them
* Translate data speak to human speak by effectively conceptualizing analysis to team members and business stakeholders


* Proficient in RDBMS such as PostgresQL or MySQL; and statistical programming in languages like R, Python, Java, C++ or SAS
* Experience in ETL, feature selections, modeling, model validation and conducting data analyses using R, SQL, Python or any JVM languages
* Deep understanding and implementation experience of predictive modeling algorithms such as logistic regression, neural networks, forward propagation, decision trees and heuristic models, with familiarity dealing with trade offs between model performance and business needs
* Experience in interfacing with other teams and departments to deliver impact solutions for organization Self-motivated, independent learner, and enjoy sharing knowledge with team members Detail-oriented and efficient time manager in a dynamic and fast-paced working environment

Required Experience

Required Education

Bachelors degree in Computer Science.

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