Data Scientist II
TD
PythonTableau
Senior Data Scientist
Fiserv
full-time
Posted on:
Location Type: Hybrid
Location: Alpharetta • New Jersey • 🇺🇸 United States
Visit company websiteSalary
💰 $78,000 - $138,000 per year
Job Level
Senior
Tech Stack
AWSAzureHadoopKerasNoSQLPythonPyTorchRDBMSSQLTensorflow
About the role
- 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.
Requirements
- Bachelor’s degree in Statistics, Data Science, Computer Science, Operations Research or related field.
- 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.
- Valid and unrestricted U.S. work authorization.
Benefits
- Annual incentive opportunity
- Health insurance
- 401(k) matching
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AIMLDLNLPLLMtokenizationembeddingsmodel trainingmodel tuningstatistical data analysis
Soft skills
collaborationcommunicationproblem-solvingteamwork
