The Senior Data Scientist will analyze large and complex datasets from Caterpillar’s connected field assets to identify trends, opportunities, and insights that create business and customer value. This role will focus on turning machine and connectivity data into meaningful, actionable recommendations that support better decision-making across the organization.
Compensation
Summary Pay Range:
$112,710.00 - $183,140.00
Responsibilities
Analyze data from Caterpillar’s connected field assets to identify machine usage trends, performance issues, and opportunities to improve customer outcomes.
Develop insights that help dealer- and customer-facing teams proactively identify equipment issues and make more informed recommendations.
Turn connectivity and machine data into actionable business insights, rather than simply reporting or passing along data.
Partner across Construction Industries, Resource Industries, and Power & Energy to address real-world equipment and fleet challenges using connected asset data.
Develop analytical models and data-driven solutions that support condition monitoring, fleet management, and improved product and service decisions.
Requirements
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related technical field
Support and supervise daily pricing operations for S&P Global’s Fixed Income Pricing business, providing client service, data quality assessment, and process improvement.
Compensation
S&P Global states that the anticipated base salary range for this position is $80,000 to $90,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.
Responsibilities
Support and supervise day-to-day running of Fixed Income Pricing business
Gain in-depth product knowledge and communicate effectively internally and externally
Provide exceptional client service and respond to client questions on pricing and methodology
Build external relationships with clients and act on feedback
Assess quality of data and remove non-compliant sources
Requirements
Bachelor's degree in Financial Engineering, Finance, Economics, Mathematics or related field
Oversees the effective use, development, and maintenance of Corporate Treasury's (CT) QRM risk engine for liquidity risk measurement, combining strong technical knowledge of data, financial modelling, and liquidity risk management to translate complex results for key stakeholders.
Responsibilities
Ensure data accuracy, completeness, and integrity for QRM model implementation
Manage the end-to-end production processes and data lineage for investigation support
Co-ordinate change management efforts and UAT testing with IT, CT Risk Infrastructure team, Liquidity Risk Measurement team, and GRM
Participate in the enterprise's Liquidity Recovery and Resolution plan
Stay abreast of various changes in the regulatory requirements and provide impact analyses to senior management
Requirements
Bachelor's degree in a technical field such as engineering, mathematics, or science
Support development operations at Fort Meade, designing, developing, deploying, and sustaining solutions to complex cryptologic computer science problems.
Compensation
Pay Range $107,900.00 - $195,050.00
Responsibilities
Design, develop, deploy, and sustain solutions to complex cryptologic computer science problems.
Apply expertise in areas such as operating systems, algorithms, compiler theory, computer architecture, discrete math, programming languages, and data structures.
Support mission areas including digital forensics, attack attribution, critical network defense, system warnings and indicators, target system penetration, and knowledge discovery.
The Senior Software Engineer – Power Systems Dynamics will contribute to the development, enhancement, and support of dynamic simulation capabilities within GE Vernova’s Positive Sequence Load Flow (PSLF) software platform. This role focuses on dynamic modeling of power system equipment and controls, transient stability analysis, numerical simulation methods, and the investigation of complex power system behavior.
Responsibilities
Develop, enhance, and maintain dynamic models for power system equipment and controls, including synchronous machines, excitation systems, governors, power system stabilizers, inverter-based resources (IBRs), and other user-defined models for the GE Vernova’s PSLF software package.
Develop and enhance dynamic simulation algorithms and core software functionality to support accurate and efficient power system stability analysis.
Analyze dynamic simulation results to understand system behavior, assess the impact of different equipment and control strategies, and identify root causes of unexpected or incorrect simulation results.
Investigate and resolve software issues related to dynamic models, numerical solution methods, simulation convergence, and overall simulation performance.
Implement and validate new dynamic modeling capabilities to address evolving power system requirements, including renewable energy integration, inverter-based resources, HVDC systems, and large loads such as data centers.
Requirements
Master’s Degree in Electrical Engineering or a related field from an accredited university or college
The Senior Software Engineer – Power Systems Dynamics will contribute to the development, enhancement, and support of dynamic simulation capabilities within GE Vernova’s Positive Sequence Load Flow (PSLF) software platform. This role focuses on dynamic modeling of power system equipment and controls, transient stability analysis, numerical simulation methods, and the investigation of complex power system behavior.
Responsibilities
Develop, enhance, and maintain dynamic models for power system equipment and controls, including synchronous machines, excitation systems, governors, power system stabilizers, inverter-based resources (IBRs), and other user-defined models for the GE Vernova’s PSLF software package.
Develop and enhance dynamic simulation algorithms and core software functionality to support accurate and efficient power system stability analysis.
Analyze dynamic simulation results to understand system behavior, assess the impact of different equipment and control strategies, and identify root causes of unexpected or incorrect simulation results.
Investigate and resolve software issues related to dynamic models, numerical solution methods, simulation convergence, and overall simulation performance.
Implement and validate new dynamic modeling capabilities to address evolving power system requirements, including renewable energy integration, inverter-based resources, HVDC systems, and large loads such as data centers.
Requirements
Master’s Degree in Electrical Engineering or a related field from an accredited university or college
Fixed Income Pricing EvaluatorNewS&P Global · New York, US