Job Description

Data Scientists

About TaskUs: 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 in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech.

The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States.

It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment’s notice, and mastering consistency in an ever-changing world.

What We Offer: At TaskUs, we prioritize our employees’ well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee’s career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.

Job Description Summary

Data Scientist with deep expertise in modern AI/ML technologies to join our innovative team. This role combines cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. You will be responsible for architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models.

Job Description

Key Responsibilities

AI/ML Development & Research

Design, develop, and deploy advanced machine learning and deep learning models for complex business problems
Implement and optimize Large Language Models (LLMs) and Generative AI solutions
Build agentic AI systems with autonomous decision-making capabilities
Conduct research on emerging AI technologies and their practical applications
Perform model evaluation, validation, and continuous improvement

Cloud Infrastructure & Full-Stack Development

Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP
Develop full-stack applications integrating AI models with modern web technologies
Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
Implement CI/CD pipelines for ML model deployment and monitoring
Design and optimize cloud infrastructure for high-performance computing workloads

Data Engineering & Database Management

Design and implement data pipelines for large-scale data processing
Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
Optimize database performance for ML workloads and real-time applications
Implement data governance and quality assurance frameworks
Handle streaming data processing and real-time analytics

Leadership & Collaboration

Mentor junior data scientists and guide technical decision-making
Collaborate with cross-functional teams including product, engineering, and business stakeholders
Present findings and recommendations to technical and non-technical audiences
Lead proof-of-concept projects and innovation initiatives

Required Qualifications

Education & Experience

Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field
5+ years of hands-on experience in data science and machine learning
3+ years of experience with deep learning frameworks and neural networks
2+ years of experience with cloud platforms and full-stack development

Technical Skills – Core AI/ML

Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms
Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers
Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering
Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation
Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents

Technical Skills – Development & Infrastructure

Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI
Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)
Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes
MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks
Big Data: Spark, Hadoop, Kafka, streaming data processing

Preferred Qualifications

Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)
Knowledge of LangChain, LlamaIndex, or similar LLM frameworks
Experience with model compression and edge deployment
Familiarity with distributed computing and parallel processing
Experience with computer vision and NLP applications
Knowledge of federated learning and privacy-preserving ML
Experience with quantum machine learning
Expertise in MLOps and production ML system design

Key Competencies

Technical Excellence

Strong mathematical foundation in statistics, linear algebra, and optimization
Ability to implement algorithms from research papers
Experience with model interpretability and explainable AI
Knowledge of ethical AI and bias detection/mitigation

Problem-Solving & Innovation

Strong analytical and critical thinking skills
Ability to translate business requirements into technical solutions
Creative approach to solving complex, ambiguous problems
Experience with rapid prototyping and experimentation

Communication & Leadership

Excellent written and verbal communication skills
Ability to explain complex technical concepts to diverse audiences
Strong project management and organizational skills
Experience mentoring and leading technical teams

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing 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/ .

TaskUs is proud to be an equal opportunity workplace and is an affirmative action employer. We celebrate and support diversity; we are committed to creating an inclusive environment for all employees. TaskUs people first culture thrives on it for the benefit of our employees, our clients, our services, and our community.

Req Id: R_2507_10295_0

Posted At: Thu Jul 31 2025 00:00:00 GMT+0000 (Coordinated Universal Time)… more