Data Scientist

June 21

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Accelerating Ideas Into Revenue

Subscription and Metered Billing • High Volume Billing • Cloud based technologies • SaaS • Consumption Billing

51 - 200

Description

• Collaborate with cross-functional teams (Engineering, Product, Business) to understand data needs and define project goals • Design and conduct exploratory data analysis to uncover patterns and trends • Develop and implement machine learning models using AI and machine learning techniques and GCP and AWS services (e.g., BigQuery, SageMaker, AI Platform) • Clean, transform, and prepare data for analysis using tools and techniques appropriate for cloud platforms • Evaluate and interpret model results, communicating insights effectively to technical and non-technical audiences • Stay up-to-date on the latest advancements in AI, machine learning, and cloud technologies • Demonstrate knowledge of AWS and GCP administration and maintenance, including resource provisioning, security configuration, and performance optimization • Document work clearly and concisely

Requirements

• Master's degree in Data Science, Statistics, Computer Science, or a related field (or equivalent experience) • Strong experience in AI and machine learning techniques, including model development, training, and evaluation • Proficiency in programming languages such as Python, R, and SQL • Experience building AI/ML solutions in both GCP and AWS • Knowledge of AWS and GCP administration and maintenance, including resource provisioning, security configuration, and performance optimization • Excellent communication and collaboration skills • Ability to work independently and as part of a team

Benefits

• Join one of the fastest-growing companies in the United States • Discretionary and charitable time off program • Ability to work fully remote