Top Remote Entry Level Data Science Jobs
The Data Scientist will collaborate with cross-functional teams to design innovative products using advanced data science techniques including statistics, machine learning, and natural language processing. Responsibilities include developing algorithms, measuring impacts, and improving data validation and deployment methodologies.
As a Data Scientist on Square's Payments Platform team, you'll leverage analytics, machine learning, and engineering to improve payment processes. Your role includes designing metrics, leading experiments, building ETL pipelines, and collaborating with cross-functional teams to optimize payment efficiency and drive data-driven decision making.
The Data Annotation Specialist will review and label video data to support machine learning projects, maintain organized records, and ensure data quality standards. This part-time role offers flexible hours while contributing to improving products for dog owners.
As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.
The Performance Science Data Engineer role involves utilizing data science techniques to enhance live entertainment experiences, focusing on analyzing performance metrics and improving overall event execution. The position may collaborate cross-functionally to drive data-driven decisions and optimize audience engagement.
The Salesforce Administrator will ensure the accuracy and organization of Salesforce data, perform audits, implement data validation, and create reports and dashboards to support business insights and decision-making.
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
As an Applied Cryptographer at Fabric, you will develop cryptographic systems focusing on Zero-Knowledge Proof protocols, enhance existing frameworks, provide technical advisory to clients, and keep up with advancements in cryptographic technologies.
Research and develop color perception algorithms and computer vision for camera and AR applications, work on imaging technology for camera capture and augmented reality experiences, collaborate with cross-functional teams, and provide leadership for new project development.
The Research Associate role at a new AI startup involves data collection, QA, data analysis, and improving AI interactions with humans. This position offers opportunities for career advancement and learning new software skills on the job.
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