Top Data & Analytics Jobs

The Senior Machine Learning Scientist at MoneyLion will lead research and innovation in machine learning, developing algorithms and applications that align with business strategies. This role involves supervising projects from conception to implementation while staying updated on industry advancements.

As a Senior Machine Learning Engineer at MoneyLion, you will design, implement, and maintain machine learning systems that solve business problems. Responsibilities include framing ML problems, building algorithms, conducting data analysis, automating processes, and enforcing best practices across the Data Science team.

Machine Learning Scientist position at MoneyLion involving advanced research, development of machine learning models, data analysis, and communication of technical solutions into business strategies.

The LLM Applied Scientist at MoneyLion will develop and optimize AI models, focusing on large language models to deliver innovative generative AI applications. Responsibilities include designing prompts, evaluating performance, collaborating with data scientists, and implementing applications that leverage GenAI capabilities to enhance business workflows and decision-making.

The Senior Analyst - Marketing Analytics will lead data analytics for MoneyLion's marketing team, defining key performance indicators and improving marketing strategies. Responsibilities include evaluating marketing efficacy, developing real-time reporting dashboards, conducting A/B tests, and enhancing customer segmentation for lifecycle campaigns. Collaboration with data engineers and training business teams on analytics tools is essential.

As a Senior Data Engineer at MoneyLion, you will provide infrastructure and tools to support data scientists and analysts. Your responsibilities include designing and implementing an analytical environment, creating complex data pipelines, and managing large datasets, using technologies like Python, Java, Redshift, and Snowflake.

As a Machine Learning Engineer, you will design, implement, and optimize machine learning systems and models to solve business problems while collaborating with a multicultural team. Your responsibilities include developing and monitoring machine learning experiments, automating workflows, and enforcing best practices in model development.