Veeam Software
Your Single Backup and Data Management Platform for Cloud, Virtual and Physical
Data Science Engineer
Location
United States
Posted
1 day ago
Salary
Not specified
No structured requirement data.
Job Description
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.
Role Description
We’re looking for a Data Science Engineer to join our Revenue Intelligence team at Veeam Software. This role is ideal for someone who thrives in a fast-paced environment, enjoys building scalable data solutions, and is passionate about driving business impact through analytics, machine learning, and AI.
- Design and implement data science, ML, and AI solutions to support strategic decision-making.
- Conduct deep-dive ad hoc analyses—both quantitative and qualitative—to inform business hypotheses and guide improvements.
- Contribute to cross-functional projects involving data science, ML, and AI use cases.
- Collaborate with Data Quality and Data Warehouse teams to reconcile data discrepancies and integrate new data sources.
- Support data analysis needs for QBRs, Summits, and All Hands meetings.
- Help develop and refine processes to ensure business solutions align with strategic goals.
- Partner with stakeholders to deliver actionable insights and recommendations.
- Continuously improve existing processes and identify opportunities for efficiency gains.
Qualifications
- Minimum 5+ years of professional experience as a data scientist or similar role.
- Bachelor’s Degree required (a combination of education and experience will be considered).
- English Advanced.
- Proficiency in Python and SQL.
- Experience building scalable data science solutions (feature engineering, model training/testing, evaluation, deployment, ML operations).
- Familiarity with data engineering concepts (data modeling, ETL/ELT, pipelines, storage optimization, governance).
- Understanding of software development practices (version control, APIs, testing, deployment).
- Experience integrating LLMs into code (prompt engineering, RAG systems, MCP).
- Familiarity with data visualization tools (Tableau, Power BI, Qlik, or equivalent).
- Strong problem-solving, communication, and analytical skills.
- Technical writing experience.
- Hands-on experience with Databricks or PySpark.
- Familiarity with project management tools (Jira, Trello, Confluence).
Requirements
- Builder mindset—excited to create solutions from the ground up.
- Ability to collaborate with both technical and non-technical stakeholders.
- Strong organizational skills and proactive communication.
- Proven success in managing abstract, cross-functional projects.
- Analytical reasoning and data-driven problem-solving capabilities.
- Ability to manage multiple priorities and meet tight deadlines.
Benefits
- 18 paid vacation days, plus three global VeeaMe Days for self-care and 24 volunteer hours annually.
- Private medical coverage for you and up to four dependents.
- Life, accident, and disability insurance with enhanced coverage.
- Wellbeing allowance for physical and mental wellness.
- Free confidential counselling and coaching via Employee Assistance Programme (EAP).
- Meal, fuel, and transportation benefits based on work arrangement.
- Daycare reimbursement and safe cab facility for eligible employees.
- Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program.
Job Requirements
- Minimum 5+ years of professional experience as a data scientist or similar role.
- Bachelor’s Degree required (a combination of education and experience will be considered).
- English Advanced.
- Proficiency in Python and SQL.
- Experience building scalable data science solutions (feature engineering, model training/testing, evaluation, deployment, ML operations).
- Familiarity with data engineering concepts (data modeling, ETL/ELT, pipelines, storage optimization, governance).
- Understanding of software development practices (version control, APIs, testing, deployment).
- Experience integrating LLMs into code (prompt engineering, RAG systems, MCP).
- Familiarity with data visualization tools (Tableau, Power BI, Qlik, or equivalent).
- Strong problem-solving, communication, and analytical skills.
- Technical writing experience.
- Hands-on experience with Databricks or PySpark.
- Familiarity with project management tools (Jira, Trello, Confluence).
- Builder mindset—excited to create solutions from the ground up.
- Ability to collaborate with both technical and non-technical stakeholders.
- Strong organizational skills and proactive communication.
- Proven success in managing abstract, cross-functional projects.
- Analytical reasoning and data-driven problem-solving capabilities.
- Ability to manage multiple priorities and meet tight deadlines.
Benefits
- 18 paid vacation days, plus three global VeeaMe Days for self-care and 24 volunteer hours annually.
- Private medical coverage for you and up to four dependents.
- Life, accident, and disability insurance with enhanced coverage.
- Wellbeing allowance for physical and mental wellness.
- Free confidential counselling and coaching via Employee Assistance Programme (EAP).
- Meal, fuel, and transportation benefits based on work arrangement.
- Daycare reimbursement and safe cab facility for eligible employees.
- Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program.