Remote Senior Data Science Engineer at Veeam Software
About the Role
We’re hiring a Remote Senior Data Science Engineer to join our innovative team at Veeam Software. As a leader in data resilience, Veeam empowers businesses to control their data whenever and wherever they need it. With over 550,000 customers globally, we are committed to providing exceptional data backup, recovery, portability, security, and intelligence solutions. In this role, you will leverage your extensive experience to drive impactful data science initiatives that support our mission.
What You'll Do
- Develop and implement advanced data models and algorithms to enhance our data resilience solutions.
- Collaborate with cross-functional teams to identify and prioritize data science projects that align with business goals.
- Utilize machine learning techniques to analyze large datasets and extract actionable insights.
- Design and maintain data pipelines to ensure the quality and availability of data for analysis.
- Mentor junior data scientists and contribute to their professional development.
Requirements
- 7+ years of experience as a Data Science Engineer or similar role.
- Proficiency in programming languages such as Python or R, and experience with data visualization tools.
- Strong understanding of machine learning algorithms and statistical analysis.
- Experience with big data technologies such as Hadoop or Spark.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Nice to Have
- Experience in the data resilience or cloud computing industry.
- Familiarity with data governance and compliance standards.
- Knowledge of data security practices.
What We Offer
- Competitive salary ranging from $120,000 to $150,000 per year.
- Fully remote work environment with flexible hours.
- Opportunities for professional growth and development.
- Comprehensive health benefits and wellness programs.
- A collaborative and innovative team culture.
This Remote Senior Data Science Engineer role at Veeam Software offers a competitive salary, flexible working conditions, and the chance to work with a leading company in data resilience.
Who Will Succeed Here
Proficient in Python and R for building robust machine learning models, with hands-on experience in libraries such as TensorFlow, Scikit-learn, and Pandas to analyze and visualize data effectively.
Self-motivated and disciplined in a remote work environment, demonstrating strong time management and organizational skills to prioritize tasks and meet deadlines without direct supervision.
Extensive experience in big data technologies like Hadoop and Spark, with a proven track record of applying statistical analysis techniques to derive insights from complex datasets.
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