Senior Data Scientist â AI Developer
Senior Data Scientist â AI Developer
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Job Description
At Fannie Mae the inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of a collaborative team thriving in an energizing environment. Here you will grow your career and help create access toaffordable housing finance.
Job Description
Fannie Mae is expanding its Data Science talent to further push the frontiers of modeling AI and advanced analytics. Are you passionate about advanced analytics algorithms AI techniques and about creating new AI solutions and technologies Do you have creative and innovative approaches to developing new AI products Were seeking data scientists who have domain knowledge or an interest in Generative AI large language models machine learning natural language processing image processing and an interest to apply it to solve the most complex problems in business.
If you are ready for an exciting opportunity working hands on with the worlds most advanced data science technologies and thrive in a super dynamic environment where you are being counted on to develop advanced analytics and AI products this role is for you:
THE IMPACT YOU WILL MAKE
The Senior Data Scientist AI Developer role will offer you the flexibility to make each day your own while working alongside people who care so that you can deliver on the following responsibilities:
Collaborate with product and/or business owners data engineers and platform teams to understand business needs and current capabilities data availability and alternative uses.
Implement new statistical modeling capabilities.
Apply analytic capabilities and build upon advanced analytic capabilities to enhance the delivery of business applications and support the integration of data and statistical models or algorithms. Apply industry practices in research and testing to product development deployment and maintenance.
Design new modeling applications to support risk measurement financial valuation decision making and business performance.
Design data visualizations technical documentation and non-technical presentation materials to communicate complex ideas and solutions to business partners.
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences:
2 years of relevant experience in building large scale machine learning or deep learning models and/or systems
Bachelors degree in Business Analytics Computer Science Data Science Engineering Finance Math Physics Statistics or a related field
Work or educational background in one or more of the following areas: machine learning computational linguistics deep learning ratification intelligence data science and/or data analytic generative AI symbolic AI causal AI operations research computer science Mathematics business analytics or knowledge management
Demonstrated experience programming with R / Python Linux and Spark in AWS cloud environment or knowledge and algorithmic design experience in Python (3 years)
Proficient with Amazon AWS Sagemaker Jupyter Notebook and Python Scikit Deep Learning Machine Learning tools such as TensorFlow
Experience with image processing models such as Coco CLIP ResNet or comparable models
Demonstrated experience with machine learning techniques including natural language processing and Large language Models (GPTv4-o1 o3 OpenAI APIs Llama Claude etc).
Experience developing AI agents and development proficiency using agentic programming
Proficient in Natural language processing (NLP) and Natural language generation (NLG) including prior projects in any of the following categories: top modeling of text sentiment analysis of text part of speech tagging Name Entity Recognition (NER) Bag of Words text extraction
Experience building and working with any of these components: Vector DB BERT RoBERTa (or comparable tools) Spacy LLM and GenAI tools
Experience with LoRA LangChain RAG LLM Fine Tuning and PEFT Knowledge Graphs.
Strong skills in developing GraphRAG Chain of Thought (CoT) Tree of Thought (ToT) Reinforcement learning and AI development architectures with Human-in-the-Loop (HITL)
Demonstrated experience with SQL and any relational database technologies such as Oracle PostgreSQL MySQL RDS Redshift Hadoop EMR Hive etc.
Demonstrated experience processing structured and unstructured data sources data cleansing data normalization and prep for analysis
Demonstrated experience with code repositories and build/deployment pipelines specifically Jenkins and/or Git/GitHub/GitLab.
Demonstrated experience using Tableau or Kibana Quicksights or other similar data visualizations tools.
Very comfortable working with ambiguity (e.g. imperfect data loosely defined concepts ideas or goals)
Desired Experiences:
Education: MS in Computer Science Statistics Math Engineering or related field PhD preferred
3 years of relevant experience in building large scale machine learning or deep learning models and/or systems
1 year of experience specifically with deep learning (e.g. CNN RNN LSTM)
1 year of experience building NLP and NLG tools.
Experience with wide range of LLMs (Llama Claude OpenAI Cohere etc.) LoRA LangChain RAG LLM Fine Tuning and PEFT are preferred.
Demonstrated skills with Jupyter Notebook AWS Sagemaker or Domino Datalab or comparable environments
Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment
Knowledge in Python and SQL object oriented programming service oriented architectures
Strong scripting skills with Shell script and SQL
Strong coding skills and experience with Python (including SciPy NumPy and/or PySpark) and/or Scala.
Knowledge and implementation experience with NLP techniques (topic modeling bag of words text classification TF/IDF Sentiment analysis) and NLP technologies such as Python NLTK or Spacy or comparable technologies
Knowledge and implementation experience with statistical and machine learning models (regression classification clustering graph models etc.)
Hands on experience building models with deep learning frameworks like Tensorflow Keras Caffe PyTorch Theano H2O or similar
Experience with LLM Agents Agentic programming
Experience with search architecture (for instance: Solr ElasticSearch AWS OpenSearch)
Experience with building querying ontologies such as Zeno OWL RDF SparQL or comparable are preferred
Knowledge & experience with microservices service mesh API development and test automation are preferred
Demonstrated experience using Docker Kubernetes and/or other similar container frameworks are preferred
Skills
Ability to translate business ideas into analytics models that have major business impact
Demonstrated experience working with multiple stakeholders
Demonstrated communication skills e.g. explaining complex technical issues to more junior data scientists in graphical verbal or written formats.
Demonstrated experience developing tested reusable and reproducible work.
Transparently documenting code and methodologies
Ability to work in Agile Lean and rapid development processes
Target Pay Range: $121000.00 - $158000.00 a year
Internal Job Title: Enterprise Modeling and Analytics - Data Science - Senior Associate
#LI-JM1
Additional information
The hiring range for this role is set forth on each of our job postings located on Fannie Maes Career Site. Final salaries will generally vary within that range based on factors that include but are not limited to skill set depth of experience certifications and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package Fannie Mae offers a broad range of Health Life Voluntary Lifestyle and other benefits and perks that enhance an employees physical mental emotional and financial well-being. See morehere.
Qualifications
Education:
Bachelors Level Degree (Required) Masters Level DegreeThe future is what you make it to be. Discover compelling opportunities at most roles employees are expected to work onsite on a regular basis at their designated office -office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race color religion sex national origin disability age sexual orientation gender identity/gender expression marital or parental status or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process please complete this form.
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to skill set depth of experience certifications and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package Fannie Mae offers a broad range of Health Life Voluntary Lifestyle and other benefits and perks that enhance an employees physical mental emotional and financial well-being. See more here.
Requisition compensation:
121000to
158000Required Experience:
Senior IC
Employment Type
Full-Time
