Data Scientist

 

Data Scientist

 

Zurich Capability Center is looking for an Associate Data Scientist/Data Scientist to join our growing Data & Analytics Team based out of our North American headquarters in Schaumburg, Illinois with a hybrid work schedule available.

This position will join a team that uses that uses a combination of statistical analysis, data science, machine learning, and artificial intelligence techniques to solve our business partners’ most pressing problems and help our customers better understand their risks. This person will work with a combination of Data Analysts, Data Engineers, Data Scientists, and Project Managers who support  various business units within the organization to achieve impact.

 

In this role you will:

• Develop & validate supervised & unsupervised learning models, create machine learning and AI models, and use other statistical techniques to solve business problems

• Design and develop data science, machine learning, and AI-based systems to deliver meaningful technology to the business.

• Contribute to the development of a strategy on how to use the model/solution to generate impact

• Collaborate with business stakeholders to understand their challenges and develop an analytical solution that creates business impact

• Contribute to the effort for team to democratize data by consolidating, integrating, cleansing, and minimally curating operational production system data and external data for insight generation

• Perform exploratory analysis which includes understanding the key statistical metrics on data columns, determining the granularity of the data, & assessing any related merge keys for combining the data

• Develop a production, end to end solution for deployment, working closely with Data Engineers and MLOps teams

• Contribute to the development of monitoring framework to ensure the tool is performing as intended

• Support stakeholders after deployment to ensure impact is achieved

• Contribute to the development and maintenance of best practices

 

Data Scientist Basic Qualifications

• High School Diploma or Equivalent with 5 or more years of experience in Computer Science,  Statistics or Mathematics and experience transforming data in the business analysis area OR

• Bachelors Degree in Computer Science, Statistics or Mathematics and 5 or more years of experience transforming data in the business analysis area

OR

• Masters Degree in Computer Science, Statistics or Mathematics and 3 or more years of experience transforming data in the business analysis area

OR

• Significant experience applying data transformation techniques such as exact and probabilistic matching methods; fuzzy matching, text mining and data reduction

• Advanced knowledge of statistical and predictive modeling techniques, such as machine learning, decision trees, probability networks, association rules, clustering, regression, GLMs and neural and their application to business decisions networks.

 

Preferred Qualifications:

• Master’s Degree in Computer Science, Engineering, Mathematics or Statistics, or other relevant STEM degree

• Strong statistical modeling and/or advanced machine learning experience including GLM, GBM, RF, Data Dimension Reduction Techniques (Clustering, PCA etc.), Time Series, Survival Modeling, Regularization Modeling Techniques, ANOVA, Experimental Design etc.

• Strong knowledge of EDA and visualization techniques

• Experience with programming and data tools such as Python, SQL, and PySpark

• Experience with data and data science frameworks such as numpy, pandas, sklearn, nltk, statsmodels, OpenCV, XGBoost, PyTorch, Tensorflow, Keras, etc.

• Experience delivering data science and machine learning solutions to production

• Knowledge of how to prepare data & develop insights

• Advanced problem-solving skills

• Experience working in an agile framework such as scrum or kanban

• Strong verbal and written communication skills, especially the ability to translate technical results for non-technical audiences in a clear and concise manner

• Familiarity with cognitive cloud solutions (e.g. Azure Form Recognizer, Amazon Rekognition, Amazon Textract, GCP Vertex AI)

• Familiarity with software engineering best practices around version control (e.g. Git, Azure DevOps), testing (e.g. PyTest, unittest), containerization (e.g. Docker), and experiment tracking  (e.g. MLFlow)

• Nice to have: Familiarity with deep learning approaches (e.g. CNN, transformer, RNN/LSTM/GRU, GCN/GNN) to extract value from massive amounts of unstructured data (text, images)

• Nice to have: Familiarity with advanced NLP techniques including LLMs (e.g. BERT, GPT, Flan-T5, Llama, Dolly, BART), fine-tuning (e.g. PEFT, LoRA, RLHF), embedding approaches (e.g. Word2Vec, t-SNE), prompt engineering, and RAG

• Nice to have: Familiarity with advanced CV techniques including deep learning-based image classification/segmentation/detection architectures (e.g. UNet, Faster-R

Who we are 

 Looking for a challenging and inspiring work environment where you can make a difference? At Zurich millions of individuals and businesses place their trust in our products and services every day. Our 53,000 employees worldwide form the basis of our success, enabling, businesses and communities to face a world of risk with confidence. Imagine if you could help people do this all over the world. You’d give them confidence and reassurance by protecting what they love most. It’s a big challenge, but you will be supported by a world-class team who believe in helping you to reach your full potential and deliver on our promises. 

So be challenged. Be inspired. Help us make a difference. 

At Zurich we are an equal opportunity employer. We attract and retain the best qualified individuals available, without regard to race/ethnicity, religion, gender, sexual orientation, age, or disability