Find Data scientist Jobs in Carrickmines, D

Data Analytics Engineer (Payments)
Rippling —DUBLIN 2, County Dublin
- Part-time
- Computer Science
- Master's degree
- SQL
3d
Senior Data Science Specialist
HCLTech —Dublin, County Dublin
2d
Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Azure
- Computer Science
- Master's degree
12d
Specialist, Product Management - AI
Mastercard —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Product management
11d
Data Analyst
U.S. Bank National Association —DUBLIN 18, County Dublin
- €49,385–€58,100 a year
- Full-time
- SQL
- Bachelor's degree
- Business
2d
Data Analyst
U.S. Bank National Association —Dublin, County Dublin
- €49,385–€58,100 a year
- Full-time
- SQL
- Bachelor's degree
- Business
2d
Senior Data Scientist
Primark —Dublin, County Dublin
- SQL
- Continuous improvement
- Mentoring
2d
Vice President & Founding Technology Lead, AI Engineering & Consulting Platforms
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Presentation skills
2d
Staff Machine Learning Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Work from home
Quick apply
6d

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Data Analytics Engineer (Payments)

Rippling -
DUBLIN 2, County Dublin

Apply Now

Job details

Part-time
3 days ago

Qualifications

Computer Science
React
Slack
Tableau
Master's degree
SQL
C
Bachelor's degree
Accounting
Communication skills
Python
Analytics

Full job description

About Rippling

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.

Job Description

Rippling's Payments Data & Analytics team is seeking an experienced and highly skilled Analytics Engineer - Payments (Internally titled: Data Scientist - Payments) to join our rapidly expanding team. In this pivotal role, you will be responsible for designing, building, and maintaining services that automatically process vast amounts of financial data, providing comprehensive visibility into every stage of the money movement lifecycle within Rippling's payments product ecosystem.

This is an exciting opportunity to become a foundational member of the Payments Analytics team, ensuring accurate settlement between our customers, external financial institutions, and Rippling for every transaction. This is a highly cross-functional role with significant visibility, including with the executive team. You will empower the Accounting, Finance, Biz Ops, Payments, and Product teams by delivering accurate data that is critical to Rippling’s finances and essential for the correct functioning of product systems.

What you will do

Collaborate cross-functionally with engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars flowing through the Rippling payment platform.
Build full-cycle analyses using SQL, Python, or other scripting and statistical tools, and develop real-time metrics dashboards to manage key financial and operating levers of the business.
Monitor payment flows between systems, banks, processors, and inter-company accounts, perform daily account reconciliations, and follow up on any discrepancies.
React swiftly to emerging issues, summarize facts, and provide recommendations for the timely resolution of critical financial matters.
Collaborate with key stakeholders (Accounting, Compliance, Treasury, etc.) to understand business requirements and develop scalable solutions for reporting and reconciliation automation, including internal tool development and/or the implementation of third-party tools.
Develop and maintain comprehensive documentation of reconciliation processes and procedures.
Prepare and deliver data and reporting solutions supporting month-end close, regulatory & compliance reporting, and Internal and External Audit reporting.
Communicate findings and recommendations to stakeholders through clear and concise presentations and reports.

What you will need

Master’s degree or Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, Econ, Math, Business Analytics, or other related fields.
4+ years of demonstrated experience in applying analytics engineering, analysis, modeling, and/or exploratory analysis to large datasets, ideally in payments processing, quote-to-cash, or financial reporting.
Experience with data warehousing, ETL, and reporting tools (e.g. Snowflake, Tableau, dbt, Dagster).
Extensive experience with SQL and its application to all phases of the data science development process (initial analysis and model development through deployment).
Experience working with engineering, finance, and accounting teams to assess their data needs and build automated reporting pipelines.
Strong problem-solving and communication skills, with the ability to communicate findings and recommendations clearly to both technical and non-technical audiences.
Ability to interface with multiple stakeholders and senior leadership (C-suite) across the organization.
Bonus points if you have experience with general accounting principles, the general ledger close process, and regulatory compliance.

Apply Now

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data scientist jobs in carrickmines, d

Data Analytics Engineer (Payments)

Senior Data Science Specialist

Machine Learning Engineer

Specialist, Product Management - AI

Data Analyst

Data Analyst

Senior Data Scientist

Vice President & Founding Technology Lead, AI Engineering & Consulting Platforms

Staff Machine Learning Engineer

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