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Mid LevelFull-timePythonRustMachine LearningData ScienceGoAI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Scientist to join our team at UiPath. You will partner with customers across various sectors, leveraging machine learning, data science, and AI to solve real-world commercial challenges. This role involves transforming how customers operate by applying cutting-edge research and technology.
Key Responsibilities
- →Work directly with customers, deploying, customizing, and building AI products to transform their businesses
- →Act as a core member of the data science team, shaping products and driving business growth through data-driven solutions
- →Engage with a wide range of stakeholders, from academic experts to on-site customer teams
- →Stay up-to-date with technological developments, research, and emerging trends in machine learning, AI, and data science
- →Apply expertise in statistical modeling, forecasting, optimization, and advanced analytics to address customer needs
- →Communicate complex data insights clearly and effectively to both technical and non-technical audiences
- →Work with various datasets, utilizing tools like R, Python, SQL, and statistical software to derive actionable insights
- →Contribute to data visualization efforts and support decision-making by translating data into business value
- →Continuously seek opportunities to expand your role and impact as UiPath grows
Requirements
- ✓Enthusiastic expertise in machine learning, data science, AI, and a passion for innovative applications
- ✓Strong programming skills or the ability to quickly learn new technologies, with experience in R, Python, or similar tools being a plus
- ✓Familiarity with relational databases and intermediate-level SQL knowledge
- ✓A solid understanding of a broad range of statistical techniques and data analysis methods
- ✓Excellent verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders
- ✓Experience in data visualization and translating diverse data sources into meaningful insights is a strong advantage
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