Senior Data Scientist at UiPath

Bucharest, Bucharest, Romania

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

5+ years of hands-on experience in data science or applied machine learning
Strong Python programming skills, particularly in libraries like pandas, scikit-learn, statsmodels, or Prophet
Proven experience in building end-to-end forecasting models and working with time series data
Good SQL skills and ability to work across multiple complex datasets
Experience working in cloud-based environments, especially Azure ML and/or Microsoft Fabric Notebooks (plus)
Experience with Delta Lake / Delta Tables on Lakehouse architectures (plus)
Exposure to financial or SaaS business metrics (ARR, churn, expansion, etc.) (plus)
Ability to work independently and own projects from start to finish
Strong communication skills and ability to work cross-functionally in a dynamic environment
Ability to understand and present findings to a non-technical audience (prior experience in data visualization and/or deriving insight from a wide variety of data sources is a plus)

Responsibilities

Build and deploy time series forecasting and other ML models for key financial metrics
Own the end-to-end ML lifecycle: from exploration and feature engineering to model training, evaluation, and deployment
Leverage Microsoft Fabric Notebooks, Azure ML, and Python to build, train, and serve machine learning models
Work with SQL and modern data lake technologies; familiarity with Delta Tables
Collaborate with data engineers and analysts to ensure data quality and reliability across the modeling pipeline
Translate business problems into data-driven solutions that drive impact
Communicate insights and recommendations clearly to non-technical stakeholders

Skills

Python

pandas

scikit-learn

statsmodels

Prophet

SQL

Microsoft Fabric

Azure ML

Delta Tables

time series forecasting

UiPath

Robotic process automation software solutions

About UiPath

UiPath provides robotic process automation (RPA) solutions that help businesses improve their efficiency by automating repetitive tasks. Their software allows organizations to create AI-driven workflows and manage these processes through cloud-based orchestration. This means that users can set up automated tasks that run without human intervention, which helps to lower operational costs and boost productivity. What sets UiPath apart from its competitors is its extensive marketplace for third-party integrations, allowing users to enhance their automation capabilities with additional tools and solutions. The main goal of UiPath is to empower organizations to streamline their operations and focus on more strategic activities by reducing the time spent on mundane tasks.

New York City, New YorkHeadquarters

2005Year Founded

$1,936.8MTotal Funding

IPOCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Flexible Work Hours

Remote Work Options

Risks

Rapid AI agent evolution may outpace UiPath's current RPA offerings.

High implementation costs and rigidity of traditional RPA tools could deter clients.

Emergence of platforms like Salesforce's Agentforce may provide competitive alternatives.

Differentiation

UiPath offers AI-driven workflows enhancing business efficiency through intelligent automation.

The company provides robust governance and multiple robots on a single virtual machine.

UiPath's marketplace for third-party integrations expands its ecosystem and customer solutions.

Upsides

UiPath leads the 2024 Everest Group automation assessment, showcasing industry leadership.

The launch of AI Trust Layer enhances governance of GenAI features across the platform.

Collaboration with The Bank of East Asia expands UiPath's enterprise automation solutions.

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