Staff Data Scientist - Platform Science : Job Details

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 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.

Essential Responsibilities

• Conduct comprehensive evaluation of ML opportunities and summarize findings and recommendations to address business use cases and inform the data science strategy
• Collaborate with other Data Science team members and Product leaders to define the data science strategy and roadmap for Platform Science
• Utilize advanced data mining and machine learning techniques, such as natural language processing, deep learning, and neural networks, to solve complex business problems
• Leverage our modern data stack (dbt, Snowflake) to filter, clean, and transform data from a variety of sources
• Work closely with our product and engineering teams to help address their questions and goals with analytics and data science solutions
• Communicate findings and recommendations to stakeholders in a clear and concise manner
• Contribute to the development of the company's data science capabilities, including implementing best practices and processes
• Mentor and provide guidance to mid-level data scientists to help them grow and develop their skills

Education and Experience

• 5+ years of experience in a data role, with at least 4 in a data science role
• 2+ years of experience with reporting and visualization tools such as Looker, Tableau, Domo etc
• Experience in mentorship or leadership roles, with the ability to provide guidance and support to mid-level data scientists
• Deep understanding of machine learning libraries (scikit-learn, tensorflow, etc.) and algorithms
• Advanced 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 analyses
• Experience 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 functions
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Ability 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 accuracy
• Demonstrated expertise in establishing machine learning pipelines from scratch
• Excellent communication skills, both verbal and written
• BS in Data Science, Statistics, Mathematics, Economics, Computer Science, Information Management or equivalent experience

What Would be Great

• Expertise with Looker
• Experience with Snowflake
• Experience with Data Build Tool (dbt)
• Experience with embedded analytics solutions
• Experience with advanced ML/AI techniques such as deep learning and reinforcement learning

Platform Science Benefits Highlights

The company offers various benefits to regular, full-time employees including:

• 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