Search Atlas02.03.26
AI SCORE 8.5

Senior Data Scientist - Remote Position at Search Atlas

$5K–$7K/month

About the Role

We are looking for a Senior Data Scientist remote to join our team at Search Atlas. As a rapidly growing SEO software company, we help websites improve their Google performance. This role is not just about individual contributions; you will lead the data team, manage resources, and create a strategic roadmap for data studies across the company.

What You'll Do

  • Develop and manage a comprehensive strategic roadmap for all data science initiatives.
  • Lead and manage multiple data science resources, ensuring the team meets execution deadlines.
  • Oversee the end-to-end execution of data projects, from gathering and preprocessing to advanced modeling and presentation.
  • Utilize AI coding tools like Claude Code and GitHub Copilot to enhance development and analysis efficiency.
  • Act as the primary liaison between the data team and leadership, providing clear and concise project updates.
  • Ensure operational excellence and accountability within the data team.

Requirements

  • Must be based in EST or CST time zones or demonstrate 100% availability during these hours.
  • Exceptional English communication skills are mandatory.
  • Over 6 years of applied Data Science experience with a proven track record of managing projects.
  • Proficiency in Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow) and SQL.
  • Strong experience using AI tools to streamline workflows.
  • Exceptional project management skills and the ability to manage multiple workstreams.
  • Master’s or PhD in a quantitative field or equivalent experience.

Nice to Have

  • Experience with automated visualization libraries (e.g., Plotly).
  • History of successfully improving underperforming team processes.
  • Active presence in the AI/ML community (GitHub, Kaggle, or Research).

What We Offer

  • Salary range of $5,000–$6,500 per month based on location and experience.
  • 15 Days Paid Time Off + Christmas Day + New Year’s Day Paid Off.
  • Flexible remote work environment with a focus on work-life balance.
  • Monthly virtual game days and events to foster team collaboration.
  • Opportunities for personal growth and professional success.

Join us as a Senior Data Scientist remote and be part of a team that values collaboration, excellence, and innovation. We are proud of our recognition for creating a positive, inclusive work environment and would love for you to contribute to our success!

Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Scientist remote position offers a competitive salary and the opportunity to lead a talented team in a rapidly growing company.

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

Who Will Succeed Here

Proficient in advanced machine learning frameworks such as PyTorch and TensorFlow, enabling the candidate to build and deploy robust AI models that enhance SEO performance.

Strong leadership skills with a strategic mindset, capable of managing a remote data team and aligning data science initiatives with business objectives in a fast-paced environment.

Deep expertise in data manipulation and analysis using Python libraries like NumPy and Pandas, ensuring the candidate can efficiently process and analyze large datasets to derive actionable insights.

Learning Resources

Python for Data Science Handbookguide

Career Path

Senior Data Scientist(Now)Lead Data Scientist / Data Science Manager(1-2 years)Director of Data Science(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
22.5%
AI Adoption in Data Science
75%
Investment in AI Tools
+150%
Labour Demand for Data Scientists
+30%
Avg Salary for Senior Data Scientist
$130K

Skills & Requirements

Required
PythonSQLNumPy
Growing in Demand
Machine Learning EngineeringNatural Language Processing (NLP)Data Visualization with Tableau
Declining
R ProgrammingHadoop

Domain Trends

Rise of Automated Machine Learning (AutoML)
AutoML tools are projected to reduce the time spent on model building by up to 40%, allowing data scientists to focus on higher-level tasks.
Increased Emphasis on Ethical AI
Around 60% of organizations are prioritizing ethical AI practices, leading to a demand for data scientists who can implement responsible AI frameworks.
Integration of AI in Business Processes
By 2025, 80% of business applications will integrate AI capabilities, significantly increasing the demand for data scientists skilled in AI tools and frameworks.

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