Top Remote Data & Analytics Jobs

The Machine Learning Engineer 3 position at FreeWheel, a Comcast company, involves working on a wide range of computational challenges such as user response prediction, bidding optimization, forecasting, and more. The role requires expertise in Machine Learning/Data Science technologies and cloud platforms.

GoodRx is looking for a Data Engineer II to collaborate with teams across the company to build data pipelines and processes, analyze large data sets, and make data-driven decisions to guide business strategies. The ideal candidate will have 2+ years of experience in Cloud data spaces, engineering data pipelines, and working with big data technologies.

Data Engineer II at GoodRx, responsible for developing and maintaining data processing pipelines using cloud technologies and big data tools. Collaborate with cross-functional teams to guide business decisions through data analysis.

GoodRx is seeking a Data Engineer II to collaborate on building data pipelines using cloud technologies such as AWS, Databricks, and Kubernetes. Responsibilities include defining data specifications, developing data processing pipelines, and analyzing large data sets to guide business decisions.

The Claims Analyst II at HMA is responsible for accurate and timely handling of medical, dental, vision, and short-term disability claims, demonstrating expertise in claims processes, troubleshooting, customer relationship management, training, and reporting. The role requires 3+ years of claims processing experience, high school diploma or equivalent, strong interpersonal skills, attention to detail, initiative, and success in fast-paced environments.

As a Decision Scientist, you will apply data-driven techniques to identify opportunities, participate in project definition, and directly impact business strategy setting outcomes. You will be responsible for implementing and monitoring customer-facing decisions and risk controls, as well as working closely with ML teams to inform model evaluations.

As a Security Governance Partner for Cash App's Machine Learning and Data Science, you will act as a security domain expert, collaborate with various teams, automate governance tasks, drive security requirements, and promote security standards and frameworks.

The Senior Data Scientist at Cash App Support will analyze large datasets, derive valuable insights, and drive meaningful change to improve customer experience. Responsibilities include partnering with support teams, conducting data analysis, designing experiments, and building metrics for business initiatives.

Support a market-leading product from analysis through to action, deliver analyses leading to product or business strategy insights, work closely with various teams to ensure cloud readiness for enterprise customers, use imperfect data to influence strategic company decisions, empower the company with data and analytical insights.

Design, build, evaluate, deploy, and iterate on large scale Machine Learning systems at Dropbox. Collaborate with cross-functional teams to personalize user experiences and impact millions of users. Requires BS or MS in Computer Science, 2+ years of experience, strong analytical and problem-solving skills, and proficiency in Python, C, and C++.

As a Senior Engineering Manager, you will lead a team of engineers to build Dropbox's AI offering, Dash. You will drive product monetization and revenue generation while fostering a collaborative culture. Your responsibilities include team development, decision-making based on data insights, and contributing to technical and product strategies. The role requires a strong background in software engineering, distributed systems, and backend infrastructure. Preferred qualifications include a PhD in Computer Science and experience in machine learning.

Shape the future direction of the organization by leveraging the latest advancements in AI/ML. Collaborate with cross-functional teams to build and iterate on large-scale Machine Learning systems. Contribute to the technical strategy for the machine learning lifecycle.

The Staff Data Scientist will focus on Search Engine Optimization Econometrics, working with SEO strategists to develop measurement techniques, models for SEO improvement strategies, and valuable insights to drive growth for the business. Responsibilities include understanding SEO best practices, modeling data, proposing experimentation strategies, and communicating findings to guide decision-making processes.

Staff Data Scientist role focusing on Search Engine Optimization (SEO) at Course Hero, responsible for understanding SEO best practices, developing measurement techniques, modeling SEO improvement strategies, and communicating findings to drive implementation. Requires 5+ years of data science experience, a PhD or MS in a quantitative field, proficiency in Python and SQL, deep understanding of statistics and ML modeling, and problem-solving skills.