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

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 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 translate business problems and goals into data science solutions, and select the appropriate approach
Communicate findings and recommendations to stakeholders in a clear and concise manner
Contribute to the development of the companys data science & machine learning capabilities, including defining and implementing best practices and processes
Mentor and provide guidance to other data team members as well as stakeholders to advance our culture of collaboration and data-informed decision-making

Experience

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
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.)
Expertise in statistical analysis, hypothesis testing, and experimental design, and strong knowledge of probabilistic models, Bayesian inference, time series analysis, A/B testing, and multivariate analysis
Proven track record of building, deploying, and maintaining machine learning models in production
Experience working with large datasets and optimizing models for scalability and performance
Experience with machine learning platforms/services such as SageMaker, Bedrock, Gemini, Vertex, Azure Machine Learning, Databricks etc.
Expert SQL skills including multiple-table joins, unions, sub-queries, CTE, aggregations, temporary tables, and analytical functions
Experience with reporting and visualization tools such as Looker, Tableau, Domo etc
Technical expertise regarding all things data, including: mining, modeling, transforming, cleansing, and validating
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
Ability to manage and prioritize projects, balancing short-term needs with long-term strategic goals
Strong written and verbal communication skills for explaining complex technical concepts to non-technical stakeholders
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 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

For more information please see the Benefits Highlights brochure for regular, full-time employees.

In addition, you can access the Benefit Highlights brochure for regular, full-time employees by copying and pasting the link into your browser: https://www.platformscience.com/benefits.

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 $225,000. 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 Privacy Policy (link for browser: https://www.platformscience.com/privacy-notice).

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 @platformscience.com 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 & peopleops@platformscience.com.