Who We Are At Platform Science, we’re working to connect everything that moves. Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe. Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation. We value thoughtful actions and empathy for others.  We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team. About the Role We are looking for a Staff Data Scientist to help us process large amounts of raw data into strategic insights for consumption by our Product, Engineering, and Leadership teams. In this role you will lead the evaluation, design, and implementation of machine learning models and statistical analyses to support key business objectives.   As a Staff Data Scientist, you will play a critical role in driving data-driven decision making at Platform Science and shaping the future of the company’s data science and machine learning capabilities. You have excellent communication skills both written and verbally, with proven experience communicating highly technical information to a variety of audiences. Essential Responsibilities <ul> <li>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.</li> <li>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.</li> <li>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.</li> <li>Apply advanced data mining and machine learning techniques, such as natural language processing, deep learning, and neural networks, to solve complex business problems</li> <li>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.</li> <li>Regularly communicate findings and recommendations clearly and effectively to both technical and non-technical audiences, tailoring content to the stakeholder context. </li> <li>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.</li> <li>Mentor, coach, and level up peers and stakeholders, fostering a culture of continuous learning and technical excellence.</li> </ul> Experience <ul> <li>7+ years of experience in a data science or machine learning role</li> <li>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</li> <li>Demonstrated experience leading ML initiatives from conception through production across multiple business domains </li> <li>Proven track record of designing, building, deploying, and maintaining production-grade machine learning systems using modern MLOps practices</li> <li>Deep understanding of machine learning libraries (scikit-learn, TensorFlow, etc.) and algorithms</li> <li>Strong foundation in statistics and applied statistical analysis, including A/B testing, hypothesis testing, Bayesian inference, time series modeling, and multivariate methods</li> <li>Proficient in Python and SQL, with extensive experience manipulating large datasets and developing performant data pipelines</li> <li>Experience with machine learning platforms/services such as SageMaker, Bedrock, Gemini, Vertex, Azure Machine Learning, Databricks etc.</li> <li>Demonstrated ability to transform ambiguous business problems into actionable ML solutions; comfortable operating in high-uncertainty environments</li> <li>Experience defining technical standards for experimentation, monitoring, and model performance in production environments</li> <li>Ability to manage and prioritize projects, balancing short-term needs with long-term strategic goals</li> <li>Strong communication skills, with the ability to clearly articulate complex technical concepts to technical and non-technical audiences</li> <li>Experience with data visualization and BI tools such as Looker, Tableau, or equivalent</li> <li>BS in Data Science, Statistics, Mathematics, Economics, Computer Science, Information Management or equivalent experience</li> </ul> What Would Be Great <ul> <li>Expertise with Looker</li> <li>Experience with Snowflake</li> <li>Experience with Data Build Tool (dbt)</li> <li>Experience with advanced ML/AI techniques such as deep learning and reinforcement learning </li> </ul> Platform Science Benefits Highlights The company offers various benefits to regular, full-time employees including:  <ul> <li>Medical, dental, and vision insurance</li> <li>Short-term and long-term disability insurances</li> <li>AD&amp;D and life insurance</li> <li>401k plan</li> <li>Paid vacation, sick leave and holidays</li> <li>Six weeks of paid parental leave</li> </ul> For more information please see the <a href="https://cdn.prod.website-files.com/669bff820d74cda087664d6c/6876a6324d46edc6333e5394_PSC%202025%20Benefit%20Highlights.pdf">Benefits Highlights</a> brochure for regular, full-time employees. This is an exempt role. Our job titles for each posting may span across more than one job level. The estimated base salary for this role is between $158,482 to $251,520. The range displayed on each job posting reflects the minimum and maximum target range for new hire base salaries across all US locations. Compensation packages are based on many factors unique to each candidate, including but not limited to skill set, work experience, relevant trainings and certifications, business needs, market demands and specific geographical location. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, and benefits. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Platform Science collects your personal information to support its business operations, including for human resources, employment, benefits administration, health and safety, and other business-related purposes as well as to be in legal compliance. You can review further details of such collection and use in our <a href="https://www.platformscience.com/privacy-notice" target="_blank">Privacy Policy.</a> Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. At this time we only consider candidates in these states: AL, AR, AZ, CA, CO, FL, GA, ID, IL, KY, MA, MD, MI, MN, MO, NC, NH, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, and WI. In the future we plan to add more states. Beware job scams! Our recruiters use @<a href="http://platformscience.com/" target="_blank">platformscience.com</a> emails only. We don’t interview via text/message. We dont ask for software downloads (except Zoom) or sensitive info (like SSN/bank). Suspect fraud? Report it to law enforcement &amp; peopleexp@platformscience.com.

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