Director, Data Scientist

Key Skills

Java Programming, Python Programming, Framework, SQL, Keras software library, Natural Language Processing (NLP), PyTorch, TensorFlow, RESTful, SPARK Programming, Databricks, RNNs, CNNs, ETL frameworks, Natural Language Understanding-NLU

Job Description

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today’s most important industries. Our growth is driven by delivering real results for our clients. It’s also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it’s no wonder we’re consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Working Mother Magazine, Diversity Inc. and others. If you’re as passionate about your future as we are, join our team.

KPMG is currently seeking a Director Data Scientist to join our Growth & Strategy organization.

Responsibilities:

• Formulate creative Machine Learning or Optimization solutions that leverage client and 3rd party data
• Collaborate with full stack developers, designers and product owners to design and build ML-driven apps
• Architect and train advanced, scalable ML models for the purposes of NLP, Forecasting, Classification among others
• Write and deploy RESTful APIs to support development and host models for inference
• Contribute to knowledge share lunch and learn sessions for the purposes of continuous learning and idea sharing
• Strategize with data science leadership, to determine what areas of ML to focus on next and recommend datasets to acquire based on business need

Qualifications:

• Minimum of eight years’ experience as a hands-on Machine Learning Engineer training and fine-tuning Deep Learning models (CNNs, RNN/LSTM/GRUs, Transformers) using modern ML frameworks, such as PyTorch, Keras or TensorFlow; Preferred experience in NLP/NLU (NER, Sentiment Analysis, Text Generation); proficient in MS Azure stack
• Bachelor's degree from an accredited college/university in a quantitative field (Computer Science, Data Science, Economics, Mathematics, Physics or Engineering)
• At least five years’ experience writing SQL and Python / R Code.; preferred experience writing code in Spark or Databricks for ML pipelines and distributed training
• Experience formulating and solving optimization problems using Gurobi or any open-source solver
• Conceptual knowledge of RESTful APIs to deploy models and provide backend data ETL for analytics-based apps