Viaduct

πŸ‘₯ 11-50πŸ’° $10,000,000 Series B 10 months agoMachine LearningSoftwareπŸ’Ό Private Company
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Viaduct builds a cloud platform that extracts actionable insights from connected vehicle data, powering applications like predictive maintenance and driver safety scoring. We're a leader in leveraging machine learning to intelligently compress and enhance vehicle data, ensuring optimal transmission efficiency. Our solutions enable automakers to build safer, more intelligent, and personalized vehicles, providing significant value through early issue detection, root cause analysis, and personalized maintenance recommendations. We utilize a cutting-edge tech stack including Python, SQL, scikit-learn, xgboost, TensorFlow, and AWS, fostering a collaborative engineering culture focused on solving complex problems. Our team is passionate about innovation and working closely with customers to build practical, scalable solutions. We prioritize data security and privacy throughout our development lifecycle. Founded in 2019, Viaduct has secured significant funding, demonstrating strong market traction and growth potential in the rapidly expanding automotive technology sector. We're a small but rapidly growing team, offering a dynamic work environment and opportunities to make a real impact on the future of transportation. We value collaboration, data-driven decision-making, and a commitment to excellence. We're proud of our diverse team and the positive impact our work has on the automotive industry.

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πŸ“ US

🧭 Full-Time

πŸ” Data Analytics

  • 10+ years of experience in data analytics, with at least 5 years in a leadership role
  • Proven track record of managing and delivering large-scale analytics projects with diverse teams
  • Experience in customer-facing roles and the ability to build and maintain strong customer relationships.
  • Demonstrated ability to innovate and drive business growth through analytics
  • Ability to manage multiple projects simultaneously
  • Exceptional communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders
  • Prior experience using data analytics software and programming languages such as SQL, Python, R, and/or Tableau
  • Strong problem-solving skills and the ability to think strategically
  • Lead and oversee customer engagement, consulting and/or analytics projects from inception to completion, ensuring timely delivery and high-quality outputs.
  • Develop and maintain strong relationships with customers, understanding their needs and translating them into actionable analytics solutions.
  • Collaborate and provide expert guidance to the product, engineering and data science teams, fostering a culture of continuous learning and improvement.
  • Ensure the alignment of analytics projects with business value.
  • Monitor project progress, manage risks, prioritize actions, and ensure adherence to budgets and timelines.
  • Present findings and recommendations to senior management and customers, effectively communicating complex data insight resulting in business value.
  • Develop strategy and lead execution of customer engagement extensions and renewals.
  • Stay updated with the latest trends and technologies in data analytics and apply them to improve our software.
  • Work with customers to gather software requests and prioritize backlog with product teams.

AWSProject ManagementPythonSQLApache HadoopData AnalysisData MiningMachine LearningSoftware ArchitectureCross-functional Team LeadershipTableauAlgorithmsData scienceCommunication SkillsAnalytical SkillsMicrosoft ExcelProblem SolvingMicrosoft OfficeAgile methodologiesRESTful APIsMentoringNegotiationAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communicationComplianceRelationship buildingBudgetingRisk ManagementData visualizationTeam managementStakeholder managementLead GenerationStrategic thinkingFinancial analysisData modelingData analyticsCustomer supportCustomer Success

Posted 10 days ago
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πŸ“ US

πŸ” Automotive industry

  • 7+ years of experience in Data Science within the Fleet Management industry.
  • Intimate knowledge of data analysis for fleet management.
  • Experience with optimization and data models for maintenance use cases.
  • Understanding of the dynamics between data science teams and key stakeholders like OEMs and service providers.
  • Knowledge of vehicle repair/replace decisions and policies.
  • Familiarity with total cost of ownership models.
  • Advise product and data science team members on major fleet pain points, common solutions, and opportunities for value creation.
  • Work closely with product management and data science teams to help them become domain experts in fleet service, operations, and connected vehicle data.
  • Identify and develop ideas for new products and features that leverage connected vehicle data, data science, and software.

Data AnalysisMachine LearningData science

Posted about 1 month ago
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