Data Scientist Lifecycle Maintenance Analytics - Mobility Customer Service

Pioneering in America, from the first mile to the last. This is what drives us.For more than 160 years, Siemens has been an integral provider of infrastructure, electrification, and transportation solutions in the United States. Rail systems must do one thing above all: run. With modern maintenance solutions – from diagnostics to data-based action recommendations, from quick delivery of replacement parts to strategically planned modernization – we ensure your systems' highest reliability and availability: 100% Railability. We are constantly developing new, intelligent mobility solutions that increase the availability of infrastructure for the society, optimize route usage and create a new quality of travel.Good service means we are there for our partners and customers when they need us – and beyond. That is because we define ourselves by what we do. Every day, every hour, every minute. We help our customers move the world.Position Overview:Siemens Mobility Customer Service is seeking a skilled Data Scientist Lifecycle Maintenance Analytics to join our Innovation team and support our transformation via digital projects that directly impact the full lifecycle costs of our long-term maintenance contracts. You will possess strong analytical skills, communication skills, experience with data analytics and machine learning, and the ability to develop and maintain interactive dashboards. Ideally you will have experience in the rail industry, as well as an understanding of condition-based maintenance to predictive or prescriptive maintenance regimes augmented via digital technologies.This role is crucial for driving data-driven decision-making and process optimization across the Siemens Mobility organization. You will work towards bridging our technical engineering team with our customer’s maintenance and IT teams. You will define requirements, deliver data-driven recommendations, and work with our customer’s key stakeholders in improving their maintenance services with innovative technology. Showing initiative is close to your heart. This role can be remote with the US.What your day-to-day will look like:• Key member within our web-application development team that calculates project lifecycle costs for our 20-years long maintenance contracts:• Data analytics• Drive data aggregation, data analysis, identify data quality issues• Collaborate with multi-functional teams (e.g. Engineering, Project Management, Procurement) to formulate business requirements and translate them into technical solutions• Data Engineering and implement robust data pipelines to ingest, transform, and load data from various sources into our Railigent data platform.• Drive our condition-based maintenance analytics to prevent failures of critical rail components:• Define conditional indicators for critical failure modes by collaborating with engineering and field-services teams.• Build rules or logic-based indicators using time-series data for key assets• Conduct data pre-processing, filtering, scripting, data integration from disparate sources, cloud databases.• Develop dashboards using PowerBI, TIBCO Spotfire, or equivalent for real-time data display and identifies maintenance trends• Build light-weight apps via PowerApps, low-code/no-code app-dev, Mendix, or equivalent for real-time display of key maintenance trends• Communicate trends to different groups and management; right-sizing data and output display to different audiences.• IoT and sensor-based project support to digitalize our assets for real-time data collection:• Support our team in installing the right sensor hardware on trains to collect data that measures the health-condition of a rail component• Define solution architecture including sensor end-points, aggregate nodes, gateways, cellular connectivity, communications, cloud data stores, APIs, configurations, etc.• Connect with internal Siemens stakeholders (e.g. Engineering) and 3rd party vendors to define a complete solution.To thrive in this role, you have:• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related technical field.• Minimum of 5 years’ experience with software engineering.• Minimum of 5 years’ experience in data analytics, data science, or a related analysis field.• Experience in Agile Development.• Proficiency with data analysis tools and programming languages (e.g., Python, R, SQL).• Experience with Amazon Web Services (AWS).• Experience with IoT architectures.• Experience with machine learning algorithms and predictive modeling.• Expertise in data visualization tools (e.g., Power BI, Tableau, Grafana, Spotfire).• Excellent problem-solving and critical-thinking abilities.• Strong communication and collaboration skills.• Strong analytical and statistical skills.• Setting you apart from others would be a Master’s degree with a minimum of 3 years’ experience rail industry, energy industry, or transportation industry. Certifications in data science or analytics (e.g., Certified Analytics Professional, Microsoft Certified: Data Scientist, AWS Certified Machine Learning) are preferred.Why you'll love working for Siemens!• Freedom and healthy work-life balance– Health, Dental, Vision Insurance, HSA/FSA, Commuter Benefits – starting Day 1!• We believe that each member of our team is accountable for making decisions, solving problems, and taking actions that contribute to long-term impact and financial success.• We do the right thing. We stand for green innovations and meaningful solutions with impact on customers, ecosystem partners, society, and environment.• We are front-runners in digitalization and building platforms. Therefore, we are hiring ambitious forward-thinkers who want to have a real impact.• Solve the world's most significant problems – Be part of exciting and innovative projects.• Opportunities to contribute your innovative ideas and get paid for them! Take advantage of our Tuition Reimbursement program, Mentor Programs, and your development through online learning. We operate daily with a growth mindset - that's why Siemens consistently ranks on the Fortune World's Most Admired Companies list!• Employee perks and discounts in addition to our 401k match and generous Paid Time OffSiemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html. The base salary range for this position in Sacramento, CA is $108,400 - $146,600 and in Pittsburgh, PA is $98,600 - $133,100 and in New York, NY is $118,200 - $159,800. The actual salary/wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, and qualifications.Equal Employment Opportunity StatementSiemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.Reasonable AccommodationsIf you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.EEO is the LawApplicants and employees are protected under Federal law from discrimination. To learn more, Click here.Pay Transparency Non-Discrimination ProvisionSiemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.California Privacy NoticeCalifornia residents have the right to receive additional notices about their personal information. To learn more, click here.