FTI Consulting, Inc.-posted 22 days ago
$69,000 - $166,000/Yr
Full-time • Senior
New York, NY
5,001-10,000 employees
Professional, Scientific, and Technical Services

Data Scientists on FTI's AI Build Team should have a pragmatic approach to problem-solving and be capable of developing end-to-end solutions that clients can rely on in production. They should be capable of challenging their own work and finding a balance between perfection and practicality. As a Director on FTI's AI Build Team, you will provide guidance, leadership, and mentorship to junior members of the team, while simultaneously contributing to workstreams on larger projects. You will showcase your expertise across a number of technical areas including programming, AI/ML and best practices. This is an excellent opportunity for a person with proven analytical experience to join a growing, dynamic team, and work on a variety of projects in a wide range of industries. Senior Consultants will have opportunities to collaborate laterally and vertically, internally, and externally, as well as lead and design projects through developing various approaches to complex issues.

  • Develop and oversee comprehensive ETL processes
  • Ideate and maintain functional relational databases
  • Structure and perform quality control procedures for data ingestion, querying, and usages
  • Perform exploratory data analysis and render key insights through evidenced results
  • Execute data quality assessments
  • Illustrate material understandings through coherent data visualizations
  • Manage concurrent investigations into required datasets
  • Execute and tune statistical analyses
  • Conduct necessary research for proof-of-concept model selection
  • Identify viable model features and apply appropriate normalizations
  • Appropriately log model parameters and metrics for comparison
  • Diligently optimize current processes and pipelines
  • Perform quality control and debugging assistance for junior data scientists
  • Actively work on MLOps design and implementation
  • Bring completed models to production
  • Frequently partner with internal and external stakeholders
  • Lead meetings with internal and external non-technical stakeholders to deliver insights
  • Outline objectives and track progress of junior data scientists
  • Bachelor's degree in Math, Physics, Computer Science, Statistics, or related field of study
  • 3+ years of post-graduate professional experience or Master's degree in Math Physics, ComputScience, Statistics, or related field of study with 2+ years of post-graduate professional experience
  • Ability to travel to clients and FTI office(s)
  • Experience in the following computing language: Python
  • Experience in any of the following query languages: T/SQL, PL/SQL, and PL/pgSQL
  • Experience in the following version control language: Git
  • Experience in any of the following database platforms: Postgres, Databricks, Apache Spark, MSSQL, and Oracle
  • Experience in any of the following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and Spacy
  • Knowledge of MLOps related technologies for model lifecycle management
  • Knowledge of at least one development environment management framework: Docker, UV, Poetry
  • Experience in any of the following AI/ML topics: Natural Language Processing (NLP), Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions
  • Experience in any of the following AI/ML concepts: Cross Validation, Ensemble Methods, Over/Under Fitting, Accuracy/Precision/Recall
  • Experience in any of the following computer science concepts: Object Oriented Programming, Hashing, Space Complexity, and Parallel Processing (Multiprocessing)
  • Experience in managing and ideating a proof-of-concept while leading the proceeding phases; Development, Testing, Deployment, and Maintenance
  • Experience in mentoring junior resources
  • Experience in any of the following on-demand cloud computer platforms: AWS, GCP, and Azure
  • Experience in GenAI related tools for workflow orchestration such as: LlamaIndex, LangChain, MCP, RAG
  • Experience in any of the following additional platforms related to MLOps: MLFlow, GitLab CI
  • Exposure to serving models: FastAPI, Flask
  • Competitive total compensation, including bonus earning potential
  • Full package of benefits plans, including medical, dental, and vision coverage along with life and disability insurance
  • Generous paid time off and holidays
  • Company matched 401(k) retirement savings plan
  • Potential for flexible work arrangements
  • Generous paid parental leave with available planning tools, virtual expert coaching services and flex return support.
  • Family care benefits, including back-up child/elder care
  • Employee wellness platform
  • Employee recognition programs
  • Paid time off for volunteering in your community
  • Corporate matching for charitable donations most important to you
  • Make an impact in our communities through company sponsored pro bono work
  • Professional development and certification programs
  • Free in-office snacks and drinks
  • Free smartphone and cellular plan (if applicable)
  • FTI Perks & Discounts at retailers and businesses
  • Upscale offices close to public transportation
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