Talantix.io
Veeam Software•07.03.26
AI SCORE 8.5

Remote Senior Data Science Engineer - Join Veeam's Revenue Intelligence Team

$120K–$150K/year
RemoteAI/Big Data
Python•Machine Learning•Data Analysis•Data Visualization•SQL•AWS

About the Role

Join Veeam as a Remote Senior Data Science Engineer and be part of a leading team in data resilience. With over 550,000 customers worldwide, Veeam is at the forefront of data backup, recovery, and intelligence. This role is ideal for someone with 7+ years of experience looking to make a significant impact in the field of data science.

What You'll Do

  • Develop and implement advanced data models to enhance revenue intelligence.
  • Collaborate with cross-functional teams to analyze data and provide actionable insights.
  • Utilize machine learning techniques to improve data resilience solutions.
  • Design and maintain data pipelines for efficient data processing.
  • Work with large datasets to extract meaningful patterns and trends.

Requirements

  • 7+ years of experience as a Data Science Engineer or similar role.
  • Strong proficiency in Python and data analysis libraries (e.g., Pandas, NumPy).
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI).
  • Excellent problem-solving skills and ability to work independently.

Nice to Have

  • Experience in the SaaS industry.
  • Knowledge of cloud platforms like AWS or Azure.
  • Familiarity with SQL and database management.

What We Offer

  • Competitive salary ranging from $120,000 to $150,000 per year.
  • Fully remote work environment with flexible hours.
  • Opportunities for professional development and growth.
  • Comprehensive health benefits and wellness programs.
  • Collaborative and innovative company culture.
Why This Job8.5 of 10

This Remote Senior Data Science Engineer role at Veeam offers a unique opportunity to work with a leading company in data resilience, competitive salary, and flexible remote work.

Salary Range
Required
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Optional
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Bonus
0/1

Who Will Succeed Here

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Proficient in Python and experienced in using libraries such as Pandas, NumPy, and Scikit-learn for data manipulation and machine learning model development.

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Strong analytical mindset with a proven track record of utilizing SQL for complex data queries and AWS for deploying machine learning models in a cloud environment.

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Demonstrates self-motivation and discipline essential for remote work, with a proactive approach to problem-solving and a desire to continuously learn and adapt in a fast-paced tech landscape.

Learning Resources

→Python for Data Science Handbookguide
→Machine Learning with Python: From Linear Models to Deep Learningcourse
→AWS Documentation for Machine Learningarticle

Career Path

Remote Senior Data Science Engineer(Now)→Lead Data Scientist(1-2 years)→Data Science Manager(3-5 years)

Market Overview

Market Size 2024
$16.5B
Annual Growth
22.3%
AI Adoption
58%
Investment
+45%
Labour Demand
+30%
Avg Salary
$130K

Skills & Requirements

Required
PythonMachine LearningData Analysis
Growing in Demand
Deep LearningNatural Language Processing (NLP)Big Data Technologies (e.g., Apache Spark)
Declining
R ProgrammingHadoop

Domain Trends

Increased Demand for Automated Machine Learning (AutoML)
The rise of AutoML tools is streamlining the model development process, with a projected increase in usage by 35% over the next two years.
Integration of AI in Business Intelligence Tools
Over 60% of organizations are adopting AI-driven analytics to enhance decision-making, leading to a surge in demand for data scientists skilled in visualization tools.
Focus on Ethical AI Practices
With 70% of companies prioritizing ethical AI, there is a growing need for data scientists to understand bias in data and model transparency.

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