Senior/Staff Data Scientist

San Diego, CA or Remote + 5% travel to San Diego headquarters for business reasonsAt 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 RoleWe are looking for a Senior/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 Senior/Staff Data Scientist, you will play a critical role in driving data-driven decision making at Platform Science and expanding the company’s data science capabilities. You have excellent communication skills both written and verbally, with proven experience communicating highly technical information to a variety of audiences.Conduct comprehensive evaluation of ML opportunities and summarize findings and recommendations to address business use cases and inform the data science strategyCollaborate with other Data Science team members and Product leaders to define the data science strategy and roadmap for Platform ScienceUtilize advanced data mining and machine learning techniques, such as natural language processing, deep learning, and neural networks, to solve complex business problemsLeverage our modern data stack (dbt, Snowflake) to filter, clean, and transform data from a variety of sourcesWork closely with our product and engineering teams to help address their questions and goals with analytics and data science solutionsCommunicate findings and recommendations to stakeholders in a clear and concise mannerContribute to the development of the company's data science capabilities, including implementing best practices and processesMentor and provide guidance to mid-level data scientists to help them grow and develop their skillsEducation and Experience5+ years of experience in a data role, with at least 4 in a data science role2+ years of experience with reporting and visualization tools such as Looker, Tableau, Domo etcExperience in mentorship or leadership roles, with the ability to provide guidance and support to mid-level data scientistsDeep understanding of machine learning libraries (scikit-learn, tensorflow, etc.) and algorithmsAdvanced knowledge of statistics and experience using statistical packages for analyzing datasets (Python, numpy, pandas, R, etc.)Experience with experimental design and determining the statistical significance of analysesExperience with AWS’s data services such as Sage Maker, S3, EC2, Lambda, etc.Expert SQL skills including multiple-table joins, unions, sub-queries, CTE, aggregations, temporary tables, and analytical functionsTechnical expertise regarding all things data, including: mining, modeling, transforming, cleansing, and validatingStrong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracyAbility to take vague requests and transform them into concise deliverables at a level of detail appropriate to the target audience, with attention to detail and accuracyDemonstrated expertise in establishing machine learning pipelines from scratchExcellent communication skills, both verbal and writtenBS in Data Science, Statistics, Mathematics, Economics, Computer Science, Information Management or equivalent experienceWhat Would be GreatExpertise with LookerExperience with SnowflakeExperience with Data Build Tool (dbt)Experience with embedded analytics solutionsExperience with advanced ML/AI techniques such as deep learning and reinforcement learningPlatform Science Benefits HighlightsThe company offers various benefits to regular, full-time employees including:Medical, dental, and vision insuranceShort-term and long-term disability insurancesAD&D and life insurance401k planPaid vacation, sick leave and holidaysSix weeks of paid parental leaveFor more information please see the Benefits Highlights 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 $138,203 and $255,484. 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.

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