Top Remote Data & Analytics Jobs in Raleigh, NC

Senior ML Engineer role at Grammarly's On-Device ML team responsible for proposing, designing, and implementing strategic new features using ML models to enhance writing assistance capabilities. Collaborate with core product teams, monitor deployment, and leverage academic research to advance technology.

Join Grammarly's Responsible AI team as a Machine Learning Engineer specializing in NLP. Develop and implement new ML solutions to enhance the safety and fairness of Grammarly products. Work in cross-functional teams to leverage ML advances and build scalable solutions.

As a Machine Learning Engineer at Liftoff, you will own ML models with direct business impact, adopt new technologies, mentor team members, monitor ML research, and influence team roadmaps. Requires 8+ years of ML experience, strong engineering skills, and a degree in Machine Learning, Math, Physics or similar. Experience with AdTech is a plus.

Machine Learning Engineer on the Embeddings team at Liftoff.

Join Altice USA's Data Science team as a Machine Learning Engineer to deliver AI applications for various business units. Work on end-to-end solutions leveraging AI and ML principles, consult with stakeholders, analyze data, manage projects, share insights, and stay updated with industry trends.

The Director, Advanced Analytics will lead a team to define and execute data modeling processes, create algorithms, predictive models, and analysis related to clinical trial operations, collaborate with stakeholders, and maintain knowledge of data science innovations and competitive landscape.

The Director, Advanced Analytics will work with partners to address critical business questions beyond simple descriptive reports. Responsibilities include collaborating with SMEs, developing and executing advanced analytics, building prototypes, acquiring data, and maintaining knowledge of data science innovations.

Collaborate on marketing and business problems, develop strategies, test hypotheses, measure success, and shape marketing using data insights. 5+ years of experience in Data Science, proficiency in SQL and another data manipulation programming language, expertise in storytelling with data, and experience with statistical concepts.

The Lead Data Specialist at Endpoint will supervise a team within Data Management, manage day-to-day operations, interact with study teams, and ensure database integrity. Responsibilities include handling critical issues, training team members, drafting SQL scripts, managing data change requests, and collaborating with clients and IT teams. Requires a Bachelor's degree, 4-7 years of relevant experience, and leadership skills.

Design and develop models, optimization algorithms, and scalable processes for marketing measurement and audience activation. Utilize big data analytical tools for data extraction. Develop machine learning algorithms for online and offline identity resolution. Work with statistical, data mining, and machine learning techniques to extract actionable information from data.

Manage analytical service operations for mortgage and tenant screening businesses by overseeing a team of data scientist consultants. Develop software to mine large datasets and develop predictive scoring models. Predict risk and marketing outcomes by developing statistical models. Generate insights using data query software. Provide training and mentorship to direct reports.