Data Scientists
Data Scientists
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Job Description
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 45000 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 moments 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 employees 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
Masters 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/ 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
Employment Type
Full-Time
Key Skills
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