Remote Senior Data Science Engineer - Data Resilience
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.
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.
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.
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