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Data Scientist - Remote

Posted 18 weeks ago
Data Analysis
Full Time
CA, USA

Overview

Hayden AI is seeking a Data Scientist to drive data-driven decision-making and evaluate the real-world impact of deployed systems. As a key member of our small but impactful team, you will work at the intersection of data analytics, machine learning, and business strategy to provide actionable insights.

In Short

  • Design and implement data-driven solutions to support strategic decision-making.
  • Develop methods to assess transit performance and broader impacts.
  • Analyze structured and unstructured data to identify trends and opportunities.
  • Collaborate with engineering teams to operationalize models.
  • Build and maintain dashboards and reports for KPIs.
  • Conduct exploratory data analysis to inform product development.
  • Communicate findings effectively to stakeholders.
  • Contribute to scalable data science workflows and best practices.

Requirements

  • Master’s or PhD in Data Science, Statistics, or related field.
  • 5+ years of experience in data science or related field.
  • Proficiency in Python and data science libraries.
  • Strong experience with SQL and data warehouse systems.
  • Expertise in statistical analysis and machine learning algorithms.
  • Familiarity with data pipeline tools.
  • Experience with visualization tools like Tableau.
  • Excellent problem-solving and communication skills.

Benefits

  • Options for medical, dental, and vision coverage.
  • Flexible Spending Account (FSA) options.
  • 401(k) with company matching.
  • Unlimited PTO.
  • Daily catered lunches in the office.
Hayden AI logo

Hayden AI

Hayden AI is a forward-thinking company dedicated to leveraging artificial intelligence and machine learning to tackle real-world challenges faced by governments and businesses. With a focus on enhancing transit efficiency, street safety, and sustainability, Hayden AI offers innovative solutions such as mobile perception systems and digital twin modeling. The company is committed to fostering an inclusive and diverse workplace, ensuring that all employees are respected and valued while driving innovation through their varied expertise.

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