Fiserv is looking to hire a Senior Data Scientist to design and develop innovative products and solutions by leveraging Artificial Intelligence, Machine Learning, and Deep Learning models to target specific business objectives and create new business opportunities within Data Commerce Solutions.
Requirements
- 5+ years of hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, RAG, and NLP.
- 5+ years of experience formulating research or business problems, designing, experimenting, implementing and communicating solutions.
- Proficiency in tokenization and embeddings, as well as experience creating models, improving model training and tuning, and deploying Large Language Model architectures based on LLaMA, BERT, or Transformer-based models.
- Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch and Agentic AI frameworks.
- Strong knowledge of statistical data analysis and machine learning techniques (e.g., SVM, regression, classification, clustering, time series) and familiarity with financial analytics, time series econometrics, payment processing and marketing strategies.
- Working knowledge of Hadoop, Hive, Impala, RDBMS, SQL, Snowflake, Vertica & RDBMS, or NoSQL Databases
- Familiarity with data platforms and applications such as Azure ML, Databricks ML, AWS Sage maker and experience contributing to GitHub and open-source initiatives.
Responsibilities
- You will design and develop inventive products & solutions to drive innovation leveraging AI/ML/DL models to target specific business objectives and create other business opportunities.
- Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines
- Utilize LangChain / LlamaIndex for advanced language processing tasks. Perform fine-tuning of models and work with Parameter-Efficient Fine-Tuning (PEFT), RAG, and Agentic AI Frameworks
- Work in a highly collaborative, team environment, and collaborating with multiple stakeholders including business, product development, architecture and engineering teams to develop, deploy , monitor and maintain ML models.
- Assist in the communication of insights and the implementation of impactful data science solutions across the organization.
Other
- Bachelor’s degree in Statistics, Data Science, Computer Science, Operations Research or related field.
- Master’s degree, PhD, or equivalent practical experience, in Computer Science, or related technical field.
- Publication record in relevant conferences and/or participation in Kaggle competitions.
- Apply using your legal name
- Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
