Talantix.io
Buffer•09.03.26
AI SCORE 8.5

Senior Data Scientist – Full Stack (Remote)

$193K–$224K/year
RemoteAI/Big Data
Python•R•SQL•Machine Learning•Data Visualization•AWS•Google Cloud•Hadoop•Spark

About the Role

Buffer is hiring a full-time Senior Data Scientist – Full Stack to join our innovative team. This Senior Data Scientist remote position allows you to work from anywhere while contributing to exciting projects that leverage data to drive decisions and improve user experiences.

What You'll Do

  • Develop and implement data models and algorithms to analyze complex datasets.
  • Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.
  • Design and maintain scalable data pipelines and architectures.
  • Utilize machine learning techniques to enhance product features and user engagement.
  • Communicate findings and insights to stakeholders through data visualization and reporting.

Requirements

  • 5+ years of experience as a Data Scientist, with a strong focus on full-stack development.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with data visualization tools like Tableau or Power BI.
  • Strong understanding of machine learning algorithms and their applications.
  • Ability to work independently in a remote environment.

Nice to Have

  • Experience with cloud platforms such as AWS or Google Cloud.
  • Familiarity with big data technologies like Hadoop or Spark.
  • Knowledge of statistical analysis and predictive modeling.

What We Offer

  • Competitive salary ranging from $192,600 to $224,272 annually.
  • Flexible remote work environment.
  • Opportunities for professional development and growth.
  • Comprehensive health benefits and wellness programs.
  • Collaborative and inclusive company culture.
Why This Job8.5 of 10

This Senior Data Scientist role at Buffer offers a competitive salary, remote work flexibility, and opportunities for professional growth in a collaborative environment.

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

Who Will Succeed Here

→

Proficient in Python and R for building complex data models, with experience in libraries like Pandas, NumPy, and Scikit-learn to manipulate and analyze large datasets effectively.

→

Self-motivated and disciplined to thrive in a remote work environment, demonstrating strong time management skills and the ability to work independently while delivering high-quality results.

→

Deep understanding of cloud platforms such as AWS and Google Cloud, with hands-on experience deploying machine learning models and data pipelines using services like AWS SageMaker and Google BigQuery.

Learning Resources

→Python for Data Science Handbookguide
→Machine Learning with Pythoncourse
→Introduction to Data Science with Pythoncourse

Career Path

Senior Data Scientist – Full Stack (Remote)(Now)→Lead Data Scientist(1-2 years)→Head of Data Science(3-5 years)

Market Overview

Market Size 2024
$50B
Annual Growth
22.5%
AI Adoption
75%
Investment in Data Science
+40%
Labour Demand for Data Scientists
+35%
Avg Salary for Senior Data Scientist
$135K

Skills & Requirements

Required
PythonRSQL
Growing in Demand
Deep LearningNatural Language Processing (NLP)Data Engineering
Declining
SASMATLAB

Domain Trends

Rise of Automated Machine Learning (AutoML)
Over 55% of organizations are adopting AutoML tools to streamline model development, reducing the time to deploy machine learning models by up to 50%.
Increased Focus on Ethical AI
Around 68% of data scientists are now prioritizing ethical considerations in AI development, as companies face growing scrutiny over AI biases.
Integration of Cloud Services in Data Science
Data scientists using cloud platforms like AWS and Google Cloud have increased by 30% in the last year, highlighting a shift towards cloud-based data processing and storage solutions.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.