Greetings from WB Solutions....!
We have the Urgent requirement for Sr. Data Scientist at Atlanta, GA - Long-Term Contract.
Role: Sr. Data Scientist
Location: Atlanta, GA
Description:
We are seeking a highly skilled Senior Data Scientist with expertise in Machine Learning, Artificial Intelligence, Large Language Models (LLMs), foundation models, and fine-tuning techniques. In this role, you will architect, build, and deploy advanced ML &; AI solutions that power Fiserv's next-generation products across payments, fraud detection, risk decisioning, and financial data enrichment. This position is ideal for someone who is passionate about building enterprise-grade AI & ML applications and applying cutting-edge techniques to real-world financial and payments challenges
Must have skills: Python, TensorFlow ,PyTorch, Spark, data analysis ,Data Modeling.
Domain Experience (If any ) Retail
- Experience: 8 to 10 years
- Hands-on experience with data analysis tools
- Proficient in using tools such as Python and R for data manipulation, querying, and analysis.
- Skilled in utilizing libraries like Pandas, NumPy, and Scikit-Learn to perform in-depth data analysis and modeling.
- Skilled in machine learning and predictive analytics:
- Expertise in building, training, and deploying machine learning models using frameworks such as TensorFlow and PyTorch.
- Capable of performing tasks like regression, classification, clustering, and recommendation, leading to data-driven predictions and insights.
- Expertise in big data technologies: Proficient in handling large datasets using big data tools such as Spark
- Skilled in employing distributed computing and parallel processing techniques to ensure efficient data processing, storage, and analysis, enabling enterprise-level solutions and informed decision-making
Key Responsibilities : Senior Data Scientist
- Design, build, and optimize Generative AI, LLM, and multimodal foundation models for enterprise fintech applications.
- Fine-tune or adapt open-source and proprietary models
Build high-performance models for NLP, document intelligence, anomaly detection, risk scoring, predictive analytics, and decisioning use cases. - Lead experimentation to evaluate model accuracy, scalability, and fairness.
- Partner with engineering teams to deploy models on cloud-based ML pipelines (Azure, AWS) &; data platforms (Databricks &; Snowflake)
- Work with large-scale structured and unstructured datasets across the payments and financial ecosystem.
- Implement model monitoring, drift detection, and continuous retraining strategies.
- Evaluate and operationalize new AI technologies, foundation model architectures, responsible AI frameworks, and emerging research.
- Drive POCs and innovation initiatives that enhance Fiserv s AI capabilities and differentiate our products.
Required Qualifications
- Master s or PhD in Computer Science, Data Science, Machine Learning, AI, or related field.
- 8+ years of hands-on experience building and deploying machine learning models in production.
- Proven expertise with LLMs, transformer architectures, transfer learning, and model fine-tuning.
- Strong proficiency in Python, PyTorch or TensorFlow, and ML libraries such as Transformers.
- Experience with cloud ML platforms, containerization (Docker/Kubernetes), and MLOps tools.
- Solid understanding of statistical modeling, optimization, and evaluation methodologies.
- Strong communication skills and ability to collaborate in cross-functional, fast-paced environments.
Preferred Qualifications
- Experience working in fintech, payments, banking, or fraud/risk environments.
- Background in vector databases, RAG pipelines, and knowledge graph integration.
- Experience with data privacy, model governance, and Responsible AI frameworks.
- Contributions to open-source AI/ML communities or research publications
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