Platform Science · 2 days ago
Staff Data Scientist
United States
Full-time
Remote
Senior Level, Lead/Staff
$158K/yr - $252K/yr
7+ years expPlatform Science is an open IoT platform that partners with various stakeholders in the transportation industry to deliver innovative solutions. The Staff Data Scientist will help process large amounts of raw data into strategic insights and lead the evaluation, design, and implementation of machine learning models to support key business objectives.
ComplianceFleet ManagementInternet of ThingsSaaSSoftwareTransportation
Responsibilities
Drive the full machine learning lifecycle as a key technical leader. Shape architectural decisions, guide system design and model selection, and oversee the deployment of scalable, production-ready models using robust MLOps practices
Own and continuously improve ML systems in production, working with engineering to ensure high availability, reliability, and performance. Define standards for observability, monitor model drift, and implement retraining and alerting pipelines
Partner with our Product and Engineering teams to translate ambiguous problems into clear, actionable requirements. Scope and prioritize ML opportunities that deliver measurable business value
Apply advanced data mining and machine learning techniques, such as natural language processing, deep learning, and neural networks, to solve complex business problems
Proactively engage with senior leadership to identify opportunities where data science can drive innovation, efficiency, or competitive differentiation. Influence product and business strategy through data-driven insights
Regularly communicate findings and recommendations clearly and effectively to both technical and non-technical audiences, tailoring content to the stakeholder context
Collaborate with Data team members and Product leaders to shape the data science strategy and roadmap for Platform Science. Lead the organization in establishing best practices for launching and analyzing ML products
Mentor, coach, and level up peers and stakeholders, fostering a culture of continuous learning and technical excellence
Qualification
Required
7+ years of experience in a data science or machine learning role
3+ years experience in mentorship or leadership roles, with the proven ability to provide guidance and support as a subject matter expert to other data team members and stakeholders
Demonstrated experience leading ML initiatives from conception through production across multiple business domains
Proven track record of designing, building, deploying, and maintaining production-grade machine learning systems using modern MLOps practices
Deep understanding of machine learning libraries (scikit-learn, TensorFlow, etc.) and algorithms
Strong foundation in statistics and applied statistical analysis, including A/B testing, hypothesis testing, Bayesian inference, time series modeling, and multivariate methods
Proficient in Python and SQL, with extensive experience manipulating large datasets and developing performant data pipelines
Experience with machine learning platforms/services such as SageMaker, Bedrock, Gemini, Vertex, Azure Machine Learning, Databricks etc
Demonstrated ability to transform ambiguous business problems into actionable ML solutions; comfortable operating in high-uncertainty environments
Experience defining technical standards for experimentation, monitoring, and model performance in production environments
Ability to manage and prioritize projects, balancing short-term needs with long-term strategic goals
Strong communication skills, with the ability to clearly articulate complex technical concepts to technical and non-technical audiences
Experience with data visualization and BI tools such as Looker, Tableau, or equivalent
BS in Data Science, Statistics, Mathematics, Economics, Computer Science, Information Management or equivalent experience
Preferred
Expertise with Looker
Experience with Snowflake
Experience with Data Build Tool (dbt)
Experience with advanced ML/AI techniques such as deep learning and reinforcement learning
Benefits
Medical, dental, and vision insurance
Short-term and long-term disability insurances
AD&D and life insurance
401k plan
Paid vacation, sick leave and holidays
Six weeks of paid parental leave
Company
Platform Science
Platform Science provides telematics and fleet management solutions to enhance operations and driver experiences.
1001-5000 employees
H1B Sponsorship
Platform Science has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (3)
2023 (2)
2022 (7)
2021 (2)
Funding
Current Stage
Late StageTotal Funding
$322.7MKey Investors
SoftBank Vision FundPrologis VenturesNewRoad Capital Partners
2024-04-09Series D· $125M
2022-02-03Series C· $115M
2020-05-26Series B· $54M
Leadership Team
Jack Kennedy
Chief Executive Officer, Co-Founder
Greg Ivancich
Chief Financial Officer
Recent News
2025-12-16
2025-11-11
Company data provided by crunchbase