Find Lead data scientist Jobs in Dublin, D

Data Scientist, Transparency & Observability - Trust and Safety
TikTok —Dublin, County Dublin
- Engineering
- SQL
- Analysis skills
6d
Principal Data Scientist
iCims —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
AI & Intelligent Automation Consultant (Retail Banking)
NTT Ltd —Dublin, County Dublin
- Hybrid work
- Mentoring
- AI
- Leadership
Data Engineering Lead – English Speaker – Office Based
SpotOn TA —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
1d
Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Master's degree
11d
Head of Phenomics
Novartis —Dublin, County Dublin
- €102,200–€189,800 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
Product Manager
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Computer Science
Architecture Director - Data Centres
AECOM —Dublin, County Dublin
- Full-time
- Microsoft Office
- No degree
- IT
Reporting Engineer
AECOM —Dublin, County Dublin
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Lead AI Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- AWS
- AI
Principal Data Product Engineer — Data Ontology & Metadata
AstraZeneca —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
6h
Commodity Manager Plastics
Siemens Healthineers —Dublin, County Dublin
- Full-time
- Master's degree
- Bachelor's degree
- Business
Product Owner – Flow Cytometry Workflows - Remote Ireland
Beckman Coulter Life Sciences —Dublin, County Dublin
- Full-time
- Remote
- No degree
- Leadership
Associate Director, Quality Control - Bioassay
MSD —Dunboyne, County Meath
- Full-time
- Doctoral degree
- Engineering
- Master's degree
7d
Neurovascular Postdoctoral Researcher
National Institute for Bioprocessing Research and Training (NIBRT) —Dublin, County Dublin
- Remote
- Doctoral degree
- Research
- Analysis skills
- Annual leave
Principal Data Product Engineer — Data Ontology & Metadata
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
5h
Executive Director, Global Patient Safety Sciences Delivery
Regeneron —Dublin, County Dublin
- €172,500–€288,300 a year
- Doctoral degree
- Master's degree
- Business
- Annual leave
Neurovascular Research Fellow
National Institute for Bioprocessing Research and Training (NIBRT) —Dublin, County Dublin
- Doctoral degree
- Data analysis skills
- Research
- Annual leave
QC Senior Specialist, Operations (12 month fixed term contract)
AstraZeneca —Dublin, County Dublin
- Weekend availability
- Bachelor's degree
- No degree
- Organisational skills
12h
Software Development Engineer, Security Analytics, AWS Security, Sonaris
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- AWS
- Bachelor's degree

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Data Scientist, Transparency & Observability - Trust and Safety

TikTok -
Dublin, County Dublin

Apply Now

Job details

6 days ago

Qualifications

Economics
Engineering
Spark
R
Apache Hive
SQL
Analysis skills
Bachelor's degree
Data analytics
Python

Full job description

Global Operations

Data Scientist, Transparency & Observability - Trust and Safety

Location
:

Dublin

Employment Type
:

Regular

Job Code
:

A162094C

Responsibilities

TikTok's Trust & Safety team works to create a safe and trusted platform for billions of people around the world. We combine policy, technology, and operations to detect harmful content, protect users, and promote healthy online communities.

The Transparency & Observability Data Science team builds the data, metrics, and analytical capabilities that help us understand how our enforcement systems perform. Our work supports both internal decision-making and external transparency reporting, while improving the reliability, explainability, and quality of Trust & Safety data.

As a Data Scientist on this team, you will develop scalable metrics, monitoring systems, and analytical solutions that provide greater visibility into platform safety and help drive continuous improvements.

Responsibilities:Build Trust & Safety Metrics & Monitoring:

Design and develop metrics that measure Trust & Safety enforcement across different products and content types.
Build dashboards and monitoring solutions that provide actionable insights into platform safety.
Develop automated anomaly detection and alerting to identify data or operational issues early.

Improve Data Quality:

Help ensure Trust & Safety data is accurate, reliable, and delivered on time.
Investigate data issues, identify root causes, and improve data quality processes.
Partner with engineering teams to strengthen data reliability and governance.

Partner Across Teams:

Work closely with Product, Engineering, Policy, Operations, and Data teams to build trusted measurement frameworks.
Help create consistent and scalable approaches to transparency reporting and observability.
Explore AI-powered solutions for monitoring model performance and understanding their impact on platform safety.

Drive Business Impact:

Turn complex data into clear insights that support strategic decisions.
Identify emerging risks and opportunities through data analysis.
Contribute to the long-term roadmap for Trust & Safety observability and measurement.

Qualifications

Minimum Qualification(s):

5+ years of experience in Data Science, Data Analytics, Data Engineering, or a related quantitative field.
Strong SQL skills and experience working with large-scale data platforms (e.g. Hive, Spark).
Proficiency in Python or R.
Experience building data quality monitoring, reporting, or observability solutions.
Experience designing metrics and developing dashboards or reporting tools.
Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly.
Bachelor's degree or above in a quantitative discipline such as Statistics, Computer Science, Mathematics, Engineering, or Economics.

Preferred Qualification(s):

Experience in Trust & Safety, content moderation, risk management, or regulatory reporting.
Experience building end-to-end monitoring or observability platforms.
Familiarity with transparency reporting requirements such as DSA or other regulatory frameworks.
Experience with anomaly detection, experimentation, causal inference, or time-series analysis.
Experience driving data quality initiatives at scale.
Experience working with global cross-functional teams.
Passion for using data to improve online safety.

Job Information

Trust & Safety

Content that this role interacts with includes images, video, and text related to every-day life, but it can also include (but is not limited to) bullying; hate speech; child safety; depictions of harm to self and others, and harm to animals. Hence, it is possible that this role will be exposed to harmful content on a daily basis.

TikTok recognises that keeping our platform safe for the TikTok communities is no ordinary job which can be both rewarding and psychologically demanding and emotionally taxing for some. This is why we are sharing the potential hazards, risks and implications in this unique line of work from the start, so our candidates are well informed before joining.

We are committed to the wellbeing of all our employees and promise to provide comprehensive and evidence-based programs, to promote and support physical and mental wellbeing throughout each employee's journey with us. We believe that wellbeing is a relationship and that everyone has a part to play, so we work in collaboration and consultation with our employees and across our functions in order to ensure a truly person-centred, innovative and integrated approach.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Apply Now

Refine Your Search

lead data scientist jobs in dublin, d

Data Scientist, Transparency & Observability - Trust and Safety

Principal Data Scientist

AI & Intelligent Automation Consultant (Retail Banking)

Data Engineering Lead – English Speaker – Office Based

Senior Applied Scientist, AWS Security

Head of Phenomics

Product Manager

Architecture Director - Data Centres

Reporting Engineer

Lead AI Engineer

Principal Data Product Engineer — Data Ontology & Metadata

Commodity Manager Plastics

Product Owner – Flow Cytometry Workflows - Remote Ireland

Associate Director, Quality Control - Bioassay

Neurovascular Postdoctoral Researcher

Principal Data Product Engineer — Data Ontology & Metadata

Executive Director, Global Patient Safety Sciences Delivery

Neurovascular Research Fellow

QC Senior Specialist, Operations (12 month fixed term contract)

Software Development Engineer, Security Analytics, AWS Security, Sonaris

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