As a member of the Information Security Team, the Senior Vulnerability Management & SOAR Engineer will lead and mature the organization's enterprise Vulnerability Management Program, protecting applications, infrastructure, cloud services, endpoints, containers, and technology platforms from current and emerging threats.
Compensation
Boston, MA Headquarters - (NB) Only Pay Range: $104,500.00 - $130,000.00 - $155,500.00 Annual (actual base pay varying based upon, but not limited to, relevant experience, time in role, internal equity, geographic location, and more.)
Responsibilities
Own and continuously mature the enterprise Vulnerability Management Program across on-premises, cloud, containerized, endpoint, network, embedded, and application environments.
Manage the end-to-end vulnerability lifecycle, including discovery, validation, prioritization, remediation tracking, exception management, verification, and reporting.
Operate and optimize vulnerability assessment technologies to ensure comprehensive asset coverage and accurate risk visibility.
Correlate and prioritize findings from vulnerability scanners, application security tools, cloud and container security platforms, attack surface management solutions, and threat intelligence sources.
Apply risk-based methodologies leveraging CVSS, CISA KEV, exploitability, asset criticality, exposure, and business impact to identify and prioritize the most significant threats.
As a Senior Software Engineer within the Developer Experience team you will serve as the customer-facing operations owner of the developer tooling ecosystem supporting fellow software engineers’ day-to-day work. This is a hybrid role balancing steady-state operations and the engineering work that meaningfully advances the tooling and the people who depend on them.
Responsibilities
Build and deliver technical solutions in support of services provided by the team.
Collaborate with various roles and teams to develop user stories, estimates, and work plans.
Create and maintain standardized developer tooling configurations and distribution mechanisms – making it easy for engineers to get started, stay current, and stay unblocked.
Lead or contribute to developer experience initiatives, using data to identify the highest impact friction points and build solutions that address them at scale.
Participate in architecture reviews and contribute to the overall platform roadmap.
Requirements
Bachelor’s degree in a technical field or equivalent practical experience
Architect, design, and deploy advanced statistical, predictive, and machine learning solutions that support enterprise‑level decision‑making across healthcare, operations, finance, and customer/member domains.
Compensation
This role is compensated through a fixed annual salary. The expected salary range for this position is $170,000.00 – $180,000.00 annually, based on role scope, experience, and market considerations.
Responsibilities
Architect, design, and deploy advanced statistical, predictive, and machine learning solutions
Own end‑to‑end analytical solution lifecycle
Serve as a technical authority on model explainability, fairness, robustness, and regulatory defensibility
Design analytics solutions natively within the Microsoft cloud analytics stack
Partner closely with executive stakeholders, data engineering leaders, and platform owners
Requirements
Master's degree in data science, statistics, mathematics, computer science, engineering, or related field
Responsible for driving operational efficiency and maximizing gaming revenue through data driven insights and innovative optimization strategies.
Responsibilities
Leverage advanced data analytics and data mining to extract constructive insights and identify performance drives across all table games and slot machines
Prepare and deliver comprehensive reports for supporting casino related strategic decisions and providing recommendations to optimize casino performance and drive revenue growth
Monitor market trends and analyze the competitive landscape to identify lucrative revenue opportunities and emerging player behaviors
Working closely with casino operation teams and workforce planning team to ensure the efficient use of casino labor resources
Collaborate closely with marketing analytics team to ensure all analytics are aligned and support integrated decision-making
The Finance Transformation Manager will lead the development, standardization and continuous improvement of financial processes, systems, tools and reporting capabilities across Regal Rexnord’s Power Management Division.
Locations (2)
Apodaca, Nuevo León, Mexico
Mexico
Responsibilities
Assess existing financial processes across business units and manufacturing sites, identifying inefficiencies, gaps, inconsistencies and opportunities for improvement.
Lead the redesign, simplification and standardization of core finance processes, including month-end closing, financial reporting, budgeting, forecasting, cost accounting and operational performance reviews.
Establish common processes, procedures, templates, guidelines and best practices across the division.
Develop standardized financial calendars, process documentation, workflows, ownership structures and accountability mechanisms.
Identify opportunities to eliminate manual activities, reduce duplication and improve process efficiency, accuracy and timeliness.
This fellowship is designed for a researcher at the intersection of industry-scale data and academic rigor. The role involves leading research at the forefront of Document Understanding, designing and implementing AI-Native agentic systems to unlock insights from billions of historical and genealogical records.
Responsibilities
Innovate with State-of-the-Art AI for tasks such as OCR/HTR, transcription, Named Entity Recognition (NER), Relation Extraction (RE), Coreference Resolution, Summarization, and Knowledge Graphs.
Design and implement multi-agent workflows using frameworks like LangChain, LangGraph, CrewAI, AutoGen, AgentCore, Strands, Google ADK, A2A.
Evaluate the performance of multi-modal AI & LLMs such as GPT, Gemini, Claude, Llama, and Qwen for zero-shot and few-shot scenarios.
Lead data management and analysis for radiology research, supporting grants, publications, and clinical data curation.
Compensation
The starting salary for the Data Scientist II position is $90,000; but is negotiable based on experience and qualifications. The starting salary for the Data Scientist III position is $110,000; but is negotiable based on experience and qualifications.
Responsibilities
May supervise the data-to-day activities of staff and resolves routine personnel issues
Identifies and implements or guides others in implementing appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding data science best practices and methodologies and represents the interests of data science
Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
Requirements
Master’s Degree preferred; focus in biomedical informatics, data management, or related field preferred.
Nice to have: Python
Nice to have: SQL
Nice to have: Epic
Nice to have: Epic Clarity
Data Solutions Architect - Data Platform, Data Products & AI-Ready Data
Architect and design complex, enterprise-scale Data Platform, Data Lake and Lakehouse solutions using multiple technologies to address cross-functional business and technical needs, and translate architecture into functional and technical specifications.
Compensation
$179,500.00 - $246,500.00
Responsibilities
Architect and design complex, enterprise-scale Data Platform, Data Lake and Lakehouse solutions
Provide end-to-end architecture and technical leadership across cloud data platforms, Lakehouse, Data Lake, data integration, batch and streaming processing
Provide architecture leadership for ongoing Data Platform production support and operations
Lead resolution of complex cross-platform production issues involving Databricks, Spark, cloud infrastructure, storage, streaming, data pipelines, networking, security, data quality and downstream consumers
Lead technical Root Cause Analysis (RCA) for high-impact and recurring incidents
Senior Data Analyst supporting transportation analytics, reporting, shipment visibility, and data quality initiatives across RXO's transportation network.
Compensation
Compensation for this role is $73,976 - $92,440. The role may also be eligible for bonus or commission pay.
Responsibilities
Analyze transportation, shipment, and operational datasets to identify trends, exceptions, and opportunities
Support transportation visibility initiatives through data analysis, testing, validation, troubleshooting, and continuous improvement efforts
Develop and maintain SQL queries, datasets, and analytical models to support reporting, automation, and operational decision-making
Create and maintain dashboards, KPIs, scorecards, and reporting solutions using Power BI and related analytics tools
Identify and resolve data quality issues while supporting data governance and master data management initiatives
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