Top Analytics Jobs in Boston, MA
Seeking a Senior Data Scientist to combat high-risk fraud and scams using advanced machine learning and analytical solutions. Responsibilities include fraud detection, data analysis, model building, ad hoc fraud mitigation, reporting, cross-functional collaboration, statistical testing, ETL management, and leadership presentations.
The Data Health Analyst at Arcadia is responsible for data quality and integration tasks for a high-growth Population Health and Analytics software company. The role involves technical implementation, support for Arcadia customers, and contributing to process improvements in healthcare data.
Manager, Data Integration role at Arcadia overseeing the building, testing, and deployment of high-quality connectors and ingestion pipelines, contributing to data integration strategy, and providing hands-on oversight for connector work with customers.
Lead the launch of Prism Analytics, build capabilities for reporting and visualization within Workday, ensure data integrity, manage testing processes, provide application administration, and contribute to HR Data Operations team activities.
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Building next generation Large Language Models for Enterprise Language Generation, applying AI/ML expertise to solve real-world challenges, collaborating with a team of developers and researchers, and contributing to the design and scaling of AI-first platform offerings at ServiceNow.
Lead a growing team of Data Scientists and Machine Learning Engineers to create AI models that drive ServiceNow's growth. Define strategies, implement AI use cases, solicit requirements, build models, and teach business teams about the models.
The Customer Experience Operations Data Analyst at Nasuni is responsible for owning and driving data-informed workstreams to improve customer experience, tracking progress, analyzing data, and providing strategic recommendations. This role requires a Bachelor's degree in a technical discipline and 7+ years of experience in a relevant Analyst position or industry. Strong analytical and Excel modeling abilities are essential, along with expertise in program management, data analytics, and customer experience methodologies.
Senior Associate role in Cybersecurity, Privacy, and Forensics at PwC focusing on information governance and data protection challenges. Responsibilities include strategic programs, data analytics, innovation, cyber resilience, response, and technical implementation activities. Required qualifications include a Bachelor's degree and 3 years of experience.
Manage internal consumer research projects and vendors to extract insights for Ahold Delhaize USA. Provide strategic insights for improving customer experience through qualitative and quantitative research. Interpret research findings and deliver actionable insights to stakeholders. Develop research plans, manage primary research methodologies, and stay updated on best practices. Collaborate with cross-functional teams to integrate data and drive impact.
Lead Radar Systems Analyst role in the System Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division at STR. Responsibilities include performing system trades, analysis, and developing tools for radar systems analysis. Must have a Secret security clearance and expertise in MATLAB, Python, and physics-based simulations.
Lead the analytics and insights delivery for therapeutic area-specific market access, conduct data analysis, develop presentations, and provide recommendations to improve processes and performance.
Lead Data Science Engineer responsible for developing advanced machine learning models, optimizing marketing strategies, collaborating with marketing teams, and integrating data science solutions into production systems. Communicate findings to influence strategic decision-making.
As a Senior Analyst, you will be responsible for driving the success and optimization of internal marketing forecasts by utilizing forecasting and analysis techniques, collaborating with cross-functional teams, conducting deep dive analysis, and mentoring other analysts. Strong skills in SQL, R, Python, and Tableau are required, along with the ability to work collaboratively in a fast-paced environment.
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