Top Remote Senior Level Data & Analytics Jobs

As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.

The Senior Business Analyst will lead business analysis efforts for complex projects, focusing on requirement gathering, documentation, and implementation. They will collaborate with stakeholders, facilitate workshops and meetings, contribute to project planning, and mentor other analysts while ensuring alignment with organizational goals.

As a Senior Data Scientist, you will develop and maintain segmentation models, conduct exploratory data analyses, and collaborate across teams to provide data-driven insights and recommendations that enhance marketing efficiency and customer retention.

As a Data Scientist, your role involves building and improving models to identify credit risk, optimize marketing spending, and predict customer churn. You'll work with structured data, create classification models, and collaborate with Product and Engineering teams.

As a Senior Database Engineer, you will manage MySQL databases in an AWS cloud, optimize database systems, lead initiatives, and provide mentoring in a 24/7 production environment focusing on automation and performance trends.

As a Senior Database Engineer at Angi, you'll manage and optimize MySQL databases within an AWS environment, ensuring availability and performance. You'll lead architecture design, oversee multiple projects, mentor team members, and apply automation for database management, while working closely with development teams.

Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.

The Senior Data Engineer will focus on data ecosystem management including data quality, governance, and insights creation. Key responsibilities include data source identification, data transformation, and integration using SQL and NoSQL databases, as well as creating data pipelines and utilizing cloud environments. The role requires translating business needs into data-driven solutions and developing business insights to enhance decision-making processes.