Data Scientist - Trust & Safety

July 29

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TextNow

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We believe communication belongs to everyone. We exist to democratize phone service.

Social Communication • Mobile Products • Software Development • Technology • Freemium Wireless Company

51 - 200

Description

• Drive and support data-driven product roadmap for Trust & Safety • Design, validate and implement machine learning solutions to detect and mitigate potential fraud behavior and bad actors across the TextNow platform • Quantify the business impact with experimentation and non-experimental strategies • Conduct root-cause analysis and ad hoc investigation on KPI anomalies · Partner with product and engineering stakeholders to drive the success • Manage data science projects from design and documentation to execution with minimum supervision • Be the domain expert and coach junior data scientists and analysts

Requirements

• BA/BS in a quantitative discipline like Math, Statistics, Computer Science, or Economics required. MS or PhD preferred • 3+ years of industry experience, preferably supporting trust & safety, policy, content moderation, or security teams • Excellent data query skills in handling structured and unstructured data using complex • SQL at large scale; prior experience with Snowflake a plus • Hands on experience in scripting languages such as Python • Knowledge of machine learning, experimentation, causal inference and ETL framework like Airflow • Strong story-telling and analytical skills to transform data into actionable insights • A self-starter with a "can do" attitude and passion for driving impact and execution