Platform Science · 20 hours ago
Staff Data Scientist
SD Metro Area
Full-time
Remote
Senior Level, Lead/Staff
$158K/yr - $225K/yr
7+ years exp
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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 company's 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
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
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
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
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.
201-500 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
2023 (1)
2022 (6)
2021 (4)
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
GlobeNewswire News Room
2024-12-06
2024-11-21
Company data provided by crunchbase
