Talantix.io
Toast•05.03.26
AI SCORE 8.5

Staff Data Scientist - Remote Position

$143K–$229K/year
RemoteAI/Big Data
Data Science•Machine Learning•Python•R•Data Visualization•Statistical Analysis•Big Data•Hadoop•Spark

About the Role

Toast is hiring a full-time Staff Data Scientist to join our innovative team, working remotely from the USA. As a Staff Data Scientist, you will leverage your expertise in data analysis and machine learning to drive impactful business decisions and enhance our product offerings. This role is perfect for someone who is passionate about data-driven insights and wants to make a significant impact in a fast-paced environment.

What You'll Do

  • Lead data science projects from conception to execution, focusing on predictive modeling and statistical analysis.
  • Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.
  • Utilize advanced analytics techniques to analyze large datasets and derive actionable insights.
  • Mentor junior data scientists and provide guidance on best practices in data analysis and modeling.
  • Communicate findings and recommendations to stakeholders effectively, ensuring data-driven decision-making.

Requirements

  • 5+ years of experience as a Data Scientist, with a strong focus on machine learning and statistical analysis.
  • Proficiency in programming languages such as Python or R, and experience with data visualization tools.
  • Strong understanding of data mining techniques and algorithms.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
  • Excellent problem-solving skills and the ability to work independently in a remote environment.

Nice to Have

  • Experience in the SaaS industry or with financial data.
  • Familiarity with cloud platforms such as AWS or Azure.
  • Advanced degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).

What We Offer

  • Competitive salary ranging from $143,000 to $229,000 annually.
  • Comprehensive health benefits and wellness programs.
  • Flexible work hours and a fully remote work environment.
  • Opportunities for professional development and continuous learning.
  • A collaborative and inclusive company culture that values innovation.
Why This Job8.5 of 10

This Staff Data Scientist role at Toast offers a competitive salary and the opportunity to work remotely while making a significant impact in the AI/Big Data industry.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python and R for building and deploying machine learning models, with hands-on experience using libraries like TensorFlow and scikit-learn to analyze large datasets.

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Strong analytical mindset with a proven track record of utilizing Hadoop and Spark for big data processing, enabling the extraction of actionable insights from complex datasets in a remote work setting.

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Demonstrates a proactive approach to continuous learning and adaptation, staying updated with the latest advancements in data science and machine learning methodologies to drive innovation at Toast.

Learning Resources

→Data Science Handbookguide
→Machine Learning with Python by IBMcourse
→Introduction to Spark on Azurearticle

Career Path

Staff Data Scientist(Now)→Lead Data Scientist(1-2 years)→Data Science Manager(3-5 years)

Market Overview

Market Size 2024
$140B
Annual Growth
24.5%
AI Adoption
60%
Investment
+35%
Labour Demand
+30%
Avg Salary
$130K

Skills & Requirements

Required
Data ScienceMachine LearningPython
Growing in Demand
Deep LearningNatural Language Processing (NLP)Cloud Computing (AWS, Azure)
Declining
R (in favor of Python)Traditional BI Tools (like Tableau)

Domain Trends

Rise of Automated Machine Learning (AutoML)
AutoML tools are expected to grow by 50% in adoption among companies, enabling faster model development and deployment.
Increased Focus on Ethical AI
Over 70% of companies are now implementing frameworks for ethical AI, highlighting the need for data scientists to consider bias and fairness in their models.
Integration of Data Science with Edge Computing
The demand for data solutions at the edge is increasing, with a projected growth rate of 30% as businesses seek real-time analytics.

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