Ts Senior data scientist Jobs – 137 Open Jobs Today

Senior Data Scientist
Optum —Hyderabad, Telangana
- Full-time
- Computer Science
- Research
- Master's degree
- Health insurance
10d
Data Science Research Senior Manager
Accenture —Hyderabad, Telangana
- Full-time
- Doctoral degree
- Research
- Master's degree
Data Science Manager I, AI/ML
Google —Hyderabad, Telangana
- Full-time
- Management
- Doctoral degree
- Computer Science
4d
Senior Specialist, IT Application Solutions, Gen. AI Specialist
Celanese International Corporation —Hyderabad, Telangana
- Full-time
- Azure
- Doctoral degree
- Computer Science
Lead Analyst - Agentic AI Engineer
CGI —Hyderabad, Telangana
- Full-time
- Java
- Master's degree
- Software development
Quick apply
Agentic AI Engineer for AI &DS, BSI
Novartis —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- Master's degree
Sr AI Engineer
Anblicks —Hyderabad, Telangana
- Azure
- Doctoral degree
- Computer Science
Quick apply
Sr. AI/ML Engineer
Proclink —Hyderabad, Telangana
- Full-time
- Azure
- Master's degree
- Databases
Staff AI Data Scientist
Teradata —Hyderabad, Telangana
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- B.Sc
Quick apply
Lead Consultant - GenAI Engineer (Cloud: GCP)
Genpact India Pvt. Ltd. —Hyderabad, Telangana
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
Quick apply

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Senior Data Scientist

Optum -
Hyderabad, Telangana

Apply Now

Job details

Full-time
10 days ago

Benefits

Health insurance

Qualifications

TensorFlow
Statistics
Data modelling
Image processing
Computer Science
R
Google Cloud Platform
Research
Survival analysis
Master's degree
SQL
Bachelor's degree
Machine learning
Confluence
Deep learning
Natural language processing
CPT coding
Regression analysis
Data science
Keras
AI
Communication skills
Graph databases
Python
Data Science

Full job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

Analyze large and complex datasets to extract actionable insights, applying strong statistical foundations, advanced analytics, and domain aware interpretation
Design, develop, and deploy machine learning and deep learning models across diverse business and healthcare use cases, ensuring rigor in feature engineering, model training, evaluation, and explainability
Build production grade ML solutions using robust, maintainable Python and SQL, with proper versioning, monitoring, performance governance, and scalable deployment patterns
Apply classical ML techniques (logistic regression, decision trees, clustering, PCA, Bayesian models, time series models) and advanced methods such as survival analysis and complex statistical modeling
Develop deep learning solutions using TensorFlow, PyTorch, Keras, or XGBoost for NLP, speech, image processing, and multimodal workloads; implement CNNs, RNNs, LSTMs/GRUs, and optimization/regularization techniques
Work with Hugging Face Transformers, embeddings, sequence models, and NLP/NLU pipelines to support generative and discriminative tasks
Build and optimize recommender systems using collaborative filtering, sequence aware models (FPMC, FISM, Fossil), and deep recommendation architectures
Explore and integrate graph machine learning techniques and knowledge graphs to model complex entity relationships, reasoning, and advanced analytics
Leverage AutoML tools (H2O.ai, Vertex/Google Cloud AutoML, DataRobot) to accelerate experimentation while maintaining scientific rigor and model quality
Apply healthcare data literacy to ensure compliant, domain aware model development, including familiarity with ICD, CPT, NDC, SNOMED, LOINC, FHIR, and HL7 datasets
Generate synthetic datasets using tools like Gretel.ai or Synthea to support experimentation where real data is limited or sensitive
Collaborate with data engineering teams to ensure high quality feature pipelines, correct transformations, and production ready integrations
Lead model governance practices, including documentation, model cards, validation reviews, responsible AI considerations, and continuous performance monitoring
Communicate insights, methodologies, experiment results, and model implications clearly to both technical and non technical stakeholders
Contribute to shared documentation, research notes, and knowledge artifacts using tools like Confluence
Stay updated with emerging research, GenAI/ML techniques, and industry trends; proactively bring forward innovations that enhance modeling capabilities

Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
6+ years of experience in Data Scientist and relevant stream
Hands-on experience with AutoML platforms and deep learning frameworks
Familiarity with synthetic data generation tools and their applications
Solid programming skills in Python, R, and SQL
Solid understanding of statistics, mathematics, and data modeling techniques
Proven excellent problem-solving skills and the ability to work independently or in a team
Proven solid communication and documentation skills

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Apply Now

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senior data scientist jobs in ts

Senior Data Scientist

Data Science Research Senior Manager

Data Science Manager I, AI/ML

Senior Specialist, IT Application Solutions, Gen. AI Specialist

Lead Analyst - Agentic AI Engineer

Agentic AI Engineer for AI &DS, BSI

Sr AI Engineer

Sr. AI/ML Engineer

Staff AI Data Scientist

Lead Consultant - GenAI Engineer (Cloud: GCP)

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