AI SCORE 8.5 / 10

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

$120K–$150K/year

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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