Senior Data Scientist: Finance ML & Cloud Pipelines

001 The Northern Trust Company; Chicago (IL); On-site; USD 115,000 - 195,000; Full time

Job summary

The Northern Trust Company seeks a data scientist to build Python data pipelines, ingest data from various sources, and prepare clean training, validation and testing datasets. You will implement tests and data quality checks while collaborating with domain experts to understand data fields.

You will apply supervised, unsupervised and time-series methods, tune models, detect biases, run large-scale training on cloud infrastructure, and present findings to internal stakeholders.

Qualifications

• CS degree with strong statistical background; DS coursework preferred.
• Experience leading data science projects and communicating with stakeholders.
• Knowledge of data pipelines and model evaluation.

Responsibilities

• Develop Python software to ingest data from databases, files, APIs.
• Analyze datasets with descriptive statistics with domain experts.
• Build tests, data quality checks, and ETL data pipelines.
• Explore ML methods across supervised, unsupervised, time-series.
• Tune models, detect biases, and run large-scale cloud training.

Skills

Python

NumPy

Pandas

Scikit-learn

Linux

Git

ML frameworks

TensorFlow

Keras

Azure Cloud

Education

Computer Science degree

Statistics background

Data Science graduate work

Finance sector experience

Tools

Keras

TensorFlow

Azure Cloud

Job description

The Northern Trust Company seeks a data scientist to build Python data pipelines, ingest data from various sources, and prepare clean training, validation and testing datasets. You will implement tests and data quality checks while collaborating with domain experts to understand data fields.

You will apply supervised, unsupervised and time-series methods, tune models, detect biases, run large-scale training on cloud infrastructure, and present findings to internal stakeholders.