Veeam Software11.03.26
AI SCORE 8.5

Remote Senior Data Science Engineer - Data Resilience

$120K–$150K/year

About the Role

We’re hiring a Remote Senior Data Science Engineer to join our innovative team at Veeam. As a leader in data resilience, Veeam empowers businesses to control their data whenever and wherever they need it. With over 550,000 customers worldwide, we are committed to providing top-notch data backup, recovery, portability, security, and intelligence solutions. In this role, you will play a crucial part in shaping the future of data resilience.

What You'll Do

  • Develop and implement advanced data models to enhance data resilience strategies.
  • Collaborate with cross-functional teams to drive data-driven decision-making.
  • Utilize machine learning techniques to analyze complex datasets and generate actionable insights.
  • Design and optimize algorithms for data processing and analysis.
  • Mentor junior data scientists and contribute to team knowledge sharing.

Requirements

  • 7+ years of experience as a Data Science Engineer or similar role.
  • Proficiency in programming languages such as Python or R.
  • Strong understanding of machine learning algorithms and statistical analysis.
  • Experience with data visualization tools like Tableau or Power BI.
  • Excellent problem-solving skills and ability to work independently.

Nice to Have

  • Experience with cloud platforms such as AWS or Azure.
  • Familiarity with big data technologies like Hadoop or Spark.
  • Knowledge of data governance and compliance standards.

What We Offer

  • Competitive salary ranging from $120,000 to $150,000 per year.
  • Flexible remote work environment.
  • Opportunities for professional development and growth.
  • Comprehensive health and wellness benefits.
  • Collaborative and inclusive company culture.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Remote Senior Data Science Engineer role at Veeam offers a competitive salary, flexible work environment, and the chance to work on impactful data resilience projects.

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

Who Will Succeed Here

Proficient in Python and R for developing machine learning models, with hands-on experience in libraries such as TensorFlow, Scikit-learn, and Pandas for statistical analysis and data manipulation.

Demonstrates strong remote work discipline, with a proactive mindset for self-management and collaboration using tools like Slack and Jira to ensure efficient project delivery.

Has a deep understanding of cloud platforms like AWS and Azure, particularly in deploying data science solutions and leveraging cloud-based services for data storage and processing.

Learning Resources

Learn Python for Data Sciencecourse

Career Path

Remote Senior Data Science Engineer - Data Resilience(Now)Lead Data Scientist(1-2 years)Director of Data Science(3-5 years)

Market Overview

Market Size 2024
$22.5B
Annual Growth
11.2%
AI Adoption
75%
Investment
+40%
Labour Demand
+30%
Avg Salary
$130K

Skills & Requirements

Required
PythonRMachine Learning
Growing in Demand
Deep LearningBig Data TechnologiesCloud Data Engineering
Declining
SASMATLAB

Domain Trends

Increased Focus on Data Privacy
With 68% of organizations prioritizing data privacy, data resilience measures are becoming critical.
Integration of AI in Data Science
Over 80% of data science teams are now incorporating AI tools, enhancing predictive analytics and automation.
Shift Towards Cloud-Based Data Solutions
Cloud data solutions are projected to grow by 25% annually, with AWS and Azure leading the market.

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