Top Data & Analytics Jobs in Boston, MA
The Applied Data Science Associate will undergo a 6-month training program to support customer engagements using the DataRobot platform. Responsibilities include assisting clients with complex data science problems, leveraging AI, and enhancing customer success through effective communication and collaboration with sales and engineering teams.
The Senior Strategy Analyst will analyze and shape Cengage's pricing strategy for higher education, conduct competitor analyses, and lead data modeling and wrangling projects. Responsibilities include working with go-to-market teams, forecasting the impact of commercial changes, providing data solutions, and mentoring other teams.
The Customer Solutions Analyst III will enhance customer success by managing inquiries, providing workflow recommendations, and ensuring customer feedback is communicated effectively. Responsibilities include supporting customer issues, documenting best practices, and educating clients on product integrations, while identifying renewal risks and up-sell opportunities.
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As a Data Scientist II, you will apply machine learning and data modeling to enhance advanced cybersecurity measures. Responsibilities include leading the development of detection algorithms, analyzing performance, and collaborating with security experts to enhance model effectiveness. You will work with large datasets and prototype complex solutions.
The Machine Learning Engineer will collaborate with research scientists and partner laboratories to develop and improve end-to-end ML pipelines for multimodal models. The role involves training and serving robot foundation models while enhancing data infrastructure and contributing to significant publications.
The Senior Analytics Architect will lead data and analytics strategy, manage projects, mentor teams, and develop analytics solutions to support decision-making and business objectives. Responsibilities include overseeing data infrastructure, delivering business-critical analytics, and aligning data strategies with business goals.
Design, develop, and maintain scalable data pipelines using pyspark on Databricks, implement stream processing workflows using Kafka, leverage Databricks platform on AWS for data processing, collaborate with data analysts, ensure data integrity and quality, stay up-to-date with latest technologies.
The HR Systems Analyst will support and optimize the Workday system, providing administrative and user support while analyzing employee metrics and enhancing HR operations. This role involves configuring Workday modules, resolving user inquiries, and collaborating with HR teams to improve efficiencies.
As a Field Data Collector, you will collect parking data by walking or biking through designated areas, counting available on-street parking spots, taking photos, and entering notes using a mobile application. Your observations will help improve parking data accuracy.
The Analytics & Insights Manager leads the Strategic Sourcing Analytics & Insights team to support data-driven decision-making through advanced analytics, KPI reporting, benchmarking, and insightful dashboards. They collaborate with technology partners to automate reporting, generate actionable insights, and enhance sourcing strategies while ensuring continuous improvement and effective communication with stakeholders.
Top Companies in Boston, MA Hiring Data + Analytics Roles
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