Top Data & Analytics Jobs in Boston, MA

As a Data Scientist at Klaviyo, you will be responsible for co-owning the data science business health tooling, building models, working with stakeholders, and delivering solutions to improve business outcomes. Strong emphasis on using data science tools to solve business problems and effective communication with technical and non-technical stakeholders.

Seeking a passionate Sr. Compensation Analyst to join the Total Rewards team at Klaviyo. Responsible for program and project management, compliance of compensation programs, and market analysis. Must have 5 years of experience in HRIS administration and compensation planning.

The AI Data Specialist at Kensho collaborates with ML teams to plan data labeling projects, extract and load data, manage offshore data labelers, analyze datasets, and assist with training initiatives. The role involves working with both structured and unstructured data using Python and requires a collaborative and problem-solving mindset.

Seeking passionate researchers to create state-of-the-art models in Machine Learning and Natural Language Processing domains. Collaborative environment with a focus on solving complex problems. Flexible work arrangements within the United States.

Seeking a Senior ML Engineer to accelerate and improve ML development cycle, design innovative ML solutions integrating structured and unstructured data, and work closely with cross-functional teams to meet customer needs and drive business value.

Seeking an Employee Listening Lead to develop and implement strategies for enhancing employee engagement and satisfaction through data-driven insights. Responsibilities include leading and executing employee listening strategies, analyzing employee feedback, presenting findings to stakeholders, and optimizing data collection processes.

The Head of Business Intelligence will lead a team focused on Data Engineering, Report Development, Project Management and Business Analytics. Responsibilities include developing BI strategy, managing a talented team, and providing analytical insights for decision-making. The role involves building data marts, developing dashboards, and providing analytics support to operational leaders.

The Head of People Analytics - Advanced Analytics will be responsible for leveraging data and insights to drive strategic decision-making and optimize the organization's human capital. They will manage a team of data analysts and collaborate with various stakeholders within HR. The role involves developing a people analytics strategy, analyzing HR data using statistical techniques, leading and mentoring a team, conducting in-depth analysis, creating data visualizations and reports, and staying updated with HR technology and analytics tools.

Experienced Data Analytics Lead at Overjet, responsible for collaborating with cross-functional teams, analyzing data sets, creating data visualizations, and serving as a trusted advisor to external customers. Must have strong technical proficiency in Python, SQL, and data visualization tools.

Overjet is hiring a Senior Data Engineer to design, develop, and implement data solutions that help ensure we have world class data capabilities.

As a Staff Data Engineer at Square Banking, you will be responsible for designing large-scale data processing systems, building core datasets, partnering with cross-functional teams, and ensuring data quality and integrity. You will work on the Square Banking Financial Data Mesh Platform using real-time Big Data technologies and Medallion architecture.

The People Analytics Strategy Consultant is responsible for understanding business needs, synthesizing insights, and recommending solutions to key HR partners. They will leverage tools to drive analytics, prepare educational material, and provide reporting and analytics support. The consultant must have a bachelor's degree, 5 years of analytics experience, 3 years in people analytics, and strong analytical, communication, and technical skills.

Join Capital One as a Principal Data Scientist specializing in Natural Language Processing (NLP) to develop AI powered products that revolutionize customer interactions with their finances. Collaborate with cross-functional teams to build and deploy cutting-edge AI solutions for the award-winning mobile app. Utilize advanced technologies to extract insights from large volumes of data and enhance customer experiences through NLP and machine learning models. Lead innovation, challenge the status quo, and drive talent development in the AI/ML space.