Data Scientist, SW Eng

Major Duties:

• Develop software, typically in Python, to independently acquire data from disparate sources (databases, files, APIs, etc.) and combine them into appropriate training, validation and testing datasets
• Analyze raw datasets using descriptive statistics, working directly with domain experts to understand the meaning of data fields
• Build unit tests, data quality checks and data pipelines to ensure that algorithms use trusted data
• Develop and maintain an understanding of many algorithms across supervised learning, unsupervised learning and time series analysis
• Propose and develop machine learning ensemble methods that exhibit the best out-of-sample characteristics possible given the input dataset
• Utilize expertise in machine learning algorithms to tune algorithms using available hyper-parameters and carefully select feature subsets
• Discover biases or leakage in datasets and help ensure that train/test splits reflect realistic expectations of real-world performance
• Run smaller to medium scale (either in parallel and/or distributed) training and inference jobs on private or public cloud infrastructure
• May present findings to internal and external customers using both data science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope.
• May provide some guidance to other software development teams as Data Science Lab prototypes are engineered for full production environments
• Work across multiple projects in a fluid environment where work is required across the full research lifecycle from forming a hypothesis, acquiring data, and developing ETL-style software to presenting findings.
• Helps plan and execute data science training sessions and hackathons
• Work with external parties (vendors, universities, etc.) to incorporate new techniques and tools into the data science lab
• Solves problems in straightforward situations
• Analyzes possible solutions using technical experience and judgment and precedents
• Impacts quality of own work and the work of others on the team
• Works within guidelines and policies

Knowledge:

Python, Common Python libraries (numpy ,pandas, sklearn, etc.), Linux based operating systems, and basic development tools (Python IDEs, source control, etc.) required

Advanced distributed machine learning frameworks (e.g. Keras, TF, etc.), Azure cloud infrastructure preferred

Requires expanded conceptual knowledge in own job discipline

Understands key business drivers; uses this understanding to accomplish own work

Explains complex information to others in straightforward situations

Experience:

6+ years of overall experience

Computer Science degree (undergraduate or graduate level) and strong statistical background.

Data Science specific graduate work, Finance sector experience or coursework preferred

Provides informal guidance to new team members

The Data Scientist performs data science research and helps to develop custom prototypes to problems that

1) are not adequately addressed by commercial solutions,

2) enhance the customer and/or internal partner experience and

3) provide Northern Trust with a competitive advantage.

This position serves to empower applied data science practitioners by facilitating high-quality data science education and collaboration within Northern Trust.

Requires working knowledge and experience in own job discipline.

Continues to build knowledge of the company, processes and clients.

Performs a range of assignments related to job discipline.

Uses prescribed guidelines or policies in analyzing situations.

Receives a moderate level of guidance and direction.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.