Data Scientist Jobs

About The Position

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, or a related technical field.
• 5+ years of experience in data science, data engineering, analytics, or a related role, including hands-on work with large-scale datasets and distributed processing systems.
• Advanced proficiency in Python and SQL for data processing, statistical analysis, machine learning, and query optimization.
• Hands-on experience with Apache Spark or comparable distributed data frameworks and notebook-based analytics environments such as Databricks.
• Experience designing analytical data models, including relational, dimensional, and time-series structures.
• Strong knowledge of statistical methods, feature engineering, model evaluation, and analytical validation.
• Experience developing or supporting governed data pipelines and analytics-ready datasets in cloud environments such as AWS or Azure.
• Ability to translate service and business use cases into technical data, telemetry, and analytical requirements.
• Strong written and verbal communication skills for documentation, stakeholder engagement, and explanation of complex technical concepts to non-technical audiences.
• Demonstrated ability to work effectively in cross-functional, matrixed environments and manage ambiguity while driving outcomes.

Nice To Haves

• Experience with IoT, connected products, device telemetry, or high-volume machine log data.
• Experience in medical devices, healthcare, or another regulated industry, including support for compliant and auditable data systems.
• Knowledge of FDA, EU MDR, GxP, computer system validation, cybersecurity, data privacy, and data governance principles.
• Experience integrating data across ERP, CRM, service, and reporting platforms.
• Experience with Power BI or comparable visualization tools and with defining operational KPIs.
• Experience with predictive maintenance, anomaly detection, failure prediction, root cause analysis, or service operations analytics.
• Experience with Databricks, Spark, Delta Lake, workflow orchestration, and cloud object storage.
• Ability to support multi-device, multi-platform analytics architectures and collaborate with enterprise data platform teams.

Responsibilities

• Define and execute a service data strategy aligned with Service Operations priorities and the Service Digital Innovation Roadmap.
• Design and maintain scalable analytical data models for device telemetry and logs, service and maintenance workflows, and customer interaction data.
• Partner with R&D and Engineering to translate service use cases into structured logging requirements, telemetry specifications, schemas, and data contracts.
• Influence device-agnostic data structures and governance standards that support service use cases across multiple products and platforms.
• Develop predictive and diagnostic models for device performance monitoring, failure prediction, root cause analysis, and service resource optimization.
• Apply statistical methods, machine learning, and AI techniques to large-scale service datasets, with appropriate validation, monitoring, and documentation.
• Partner with IT and Data Platform teams to integrate, normalize, validate, and serve service data through governed enterprise platforms and analytics-ready datasets.
• Integrate data across connected devices and enterprise systems, including ERP, CRM, and service platforms, while maintaining lineage, quality, and role-based access.
• Define service KPIs and support dashboards, reporting, and analytical products that translate data into actionable recommendations.
• Communicate findings, tradeoffs, and recommendations to technical and business stakeholders, and drive adoption through documentation, training, and cross-functional collaboration.
• Ensure analytical solutions and data processes support auditability, cybersecurity, privacy, and applicable quality and regulatory requirements.

Benefits

• Consolidated retirement plan (pension)
• Savings plan (401(k))
• Long-term incentive program
• Vacation – 120 hours per calendar year
• Sick time - 40 hours per calendar year (or more depending on state)
• Holiday pay, including Floating Holidays – 13 days per calendar year
• Work, Personal and Family Time - up to 40 hours per calendar year
• Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
• Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
• Caregiver Leave – 80 hours in a 52-week rolling period
• Volunteer Leave – 32 hours per calendar year
• Military Spouse Time-Off – 80 hours per calendar year