Data Scientist, AI Safety Services

TaskUs; Roodepoort; Remote; ZAR 1,561,000 - 2,082,000; Full time

Job summary

A leading outsourcing company is seeking a Data Scientist for AI Safety Services to drive analytics for safety benchmarks and interventions. This role involves building analytics pipelines and collaborating with researchers to ensure AI safety. Candidates should have 3–5 years of data science experience, a solid understanding of machine learning workflows, and proficiency in Python data tools. Enjoy remote-first flexibility and immediate impact in your analyses.

Benefits

Competitive salary

Comprehensive benefits

Remote-first flexibility

Qualifications

• 3–5 years in data science or applied statistics, ideally in the AI/ML domain.
• Ability to turn messy data into insights for stakeholders.
• Understanding of machine-learning evaluation workflows.

Responsibilities

• Own analytics pipelines for safety KPIs.
• Design A/B tests for prompt and policy effects.
• Develop risk models & dashboards in Python.

Skills

Statistical rigor

Data engineering basics

Visualization & storytelling

Scripting & automation

Collaboration

Education

3–5 years in data science, analytics engineering, or applied statistics

Tools

Python data stack (Pandas, NumPy)

SQL

Job description

Overview

TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients across sectors including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. The People First culture supports a global workforce of approximately 45,000 employees in twenty-three locations across twelve countries, including the Philippines, India, and the United States.

It started with one idea to create a different breed of Business Processing Outsourcing (BPO). TaskUs emphasizes a culture of motion, exploring new technologies, handling challenges quickly, and maintaining consistency in an ever-changing world.

What We Offer: TaskUs prioritizes employee well-being with competitive salaries and comprehensive benefits. Our People First culture is reflected in departments such as Total Rewards, Wellness, HR, and Diversity. We foster an inclusive environment, support internal mobility and professional growth, and invite you to join our team to experience our dedication to People First.

The role

We are seeking a Data Scientist, AI Safety Services who will bring statistical rigor and analytical firepower to benchmarks, red-teams, and client rollouts. Your models, dashboards, and experiments will identify risks and show how interventions move the needle.

The impact you’ll make

• Quantify safety: Transform evaluation outputs into metrics, confidence intervals, and risk scores to guide client decisions.

• Accelerate research: Provide rapid statistical feedback to help researchers iterate on alignment, robustness, and interpretability ideas.

• Strengthen delivery: Build data pipelines and visualizations that give Solutions and Operations teams real-time visibility into project health.

What you’ll do

• Own analytics pipelines for jailbreak detection rates, toxicity scores, drift signals, and other safety KPIs — ETL through presentation.

• Design A/B and sequential tests to measure the impact of prompt tweaks, fine-tuning, or policy changes on model behavior.

• Develop risk models & dashboards in Python (Pandas, NumPy, Plotly, Streamlit) with scalable storage (BigQuery, Redshift, or similar).

• Collaborate with Researchers to choose methods, validate assumptions, and publish reproducible notebooks alongside papers.

• Partner with Solutions Engineering to embed metrics in client reports and scope data requirements for new engagements.

• Automate reporting by building CI hooks or Airflow jobs so safety scores refresh with each new model drop or data batch.

• Stay current by evaluating new safety benchmarks, open-source metric libraries, and MLOps best practices; recommend adoption where useful.

Experiences you’ll bring

• 3–5 years in data science, analytics engineering, or applied statistics—ideally in an AI/ML or risk domain.

• Proven ability to turn messy, high-volume data into actionable insights and visualizations for stakeholders.

• Solid understanding of machine-learning evaluation workflows; exposure to large language model outputs is a plus.

• Hands-on experience with Python data stack (Pandas, NumPy, SciPy, scikit-learn) and SQL—or equivalents in Spark/BigQuery.

• Familiarity with experiment design, hypothesis testing, and causal inference techniques.

Core skills you'll need

• Statistical rigor: power analysis, significance testing, bootstrap / Bayesian methods.

• Data engineering basics: ETL, data validation, versioning, and scalable storage.

• Visualization & storytelling: interactive dashboards and clear narratives for technical & executive audiences.

• Scripting & automation: write maintainable code, schedule pipelines, and integrate with CI/CD.

• Collaboration: work fluidly with researchers, engineers, and client-facing teams under tight timelines.

Nice to have: Experience with MLflow or Weights & Biases, exposure to privacy-preserving analytics, or familiarity with NIST RMF / EU AI Act metrics.

Why you’ll love this role

• Remote-first flexibility: Work where you’re most productive.

• Immediate impact: Your analyses steer decisions for frontier AI deployments weeks after you write them.

• Breadth of problems: From toxicity scoring to drift detection, no two problems are the same.

• Growth runway: Define the data science discipline for AI Safety at TaskUs and grow into a senior or lead role as the team scales.

• Mission focus: Help ensure the world’s most powerful models behave safely and fairly.

Application

Ready to turn safety data into decisive action? Apply today and bring clarity to the front lines of trusted AI. The careers page is available at TaskUs: https://www.taskus.com/careers/

DEI

In TaskUs we believe that innovation and high performance come from people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. TaskUs is committed to equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL: https://www.taskus.com/careers/