Zurich (Schaumburg, IL) seeks a Senior Data Scientist to solve business challenges using advanced analytics and deliver through others, by leading a project or by sharing their technical skill set. Specific duties include: lead a project team to collaborate with business stakeholders to understand their challenges and structure an advanced analytical solution to solve it; lead a project team to scan a broad spectrum of data sources to define the optimal data set for testing the hypotheses; partner across the organization to connect data sources to build the data set; lead a project team to prepare data sets to build/rebuild/refresh predictive models; lead a project team to design, develop and validate models built using a variety of modeling techniques; lead a project team to work with stakeholders to develop a strategy on how to use the model to generate the desired impact; lead a project team to work with stakeholders after deployment to ensure that impact is achieved; build and deploy predictive models and machine learning models; monitor model accuracy and work with stakeholders to ensure the model generates the desired impact; work with cross-functional teams to put models into production and provide support on IT implementation and system integration of models; develop best practices and improvements to analytic techniques to solve business challenges; and establish, maintain and grow collaborative relationships across the organization. Option to work remotely is available with required travel to Schaumburg, IL HQ 1-2 times per year.

Position requires a Bachelor’s degree, or foreign equivalent, in Computer Science, Statistics, Mathematics, Actuarial Science, or a closely related field of study, plus 5 years of experience in the job offered, or as a Data Science Intern, Teaching Assistant, Business Analyst, Data Engineer, or similar position solving business challenges using advanced analytics. In the alternative, will accept a Master’s degree, or foreign equivalent, in Computer Science, Statistics, Mathematics, Actuarial Science, or a closely related field of study, plus 3 years of experience in the job offered, or as a Data Science Intern, Teaching Assistant, Business Analyst, Data Engineer, or similar position solving business challenges using advanced analytics. Specific experience must include: performing statistical and mathematical analysis of data; mapping business requirements to technical solutions; coding in a modern programming language, such as Python, C++, Java, Rust, Julia, or similar; training and selection of machine learning and AI models, such as GLMs, causal inference, tree-based methods, deep-learning methods, multi-view geometry, simulations, Monte Carlo methods, non-convex optimization methods, or similar; working with version control software and best practices, such as Github, SVN, Azure DevOps, or similar; working with MLOps and the model development lifecycle; working with data visualization techniques and frameworks; working with databases, such as SQL, noSQL, transactional, vector, or similar; working with big data tooling and languages, such as Hive, Spark, MapReduce, Scala, BigQuery, or similar; working with software testing frameworks, such as pytest, unittest, or similar; working with agile software development process such as scrum, kanban, XP, or similar and tools, such as Jira, Confluence, Asana, or similar; and communicating with stakeholders. Option to work remotely is available with required travel to Schaumburg, IL HQ 1-2 times per year.

Full time position. Apply by submitting your resumes at Zurichna.com/en/careers, Job ID: 114397.


As a condition of employment at Zurich, employees must adhere to any COVID-related health and safety protocols in place at that time (https://www.zurichna.com/careers/faq).

A future with Zurich. What can go right when you apply at Zurich?

Now is the time to move forward and make a difference. At Zurich, we want you to share your unique perspectives, experiences and ideas so we can grow and drive sustainable change together. As part of a leading global organization, Zurich North America has over 150 years of experience managing risk and supporting resilience. Today, Zurich North America is a leading provider of commercial property-casualty insurance solutions and a wide range of risk management products and services for businesses and individuals. We serve more than 25 industries, from agriculture to technology, and we insure 90% of the Fortune 500®. Our growth strategy is not limited to our business. As an employer, we strive to provide ongoing career development opportunities, and we foster an environment where voices are diverse, behaviors are inclusive, actions drive equity, and our people feel a sense of belonging. Be a part of the next evolution of the insurance industry. Join us in building a brighter future for our colleagues, our customers and the communities we serve. Zurich maintains a comprehensive employee benefits package for employees as well as eligible dependents and competitive compensation. Please click here to learn more.

As a global company, Zurich recognizes the diversity of our workforce as an asset. We recruit talented people from a variety of backgrounds with unique perspectives that are truly welcome here. Taken together, diversity and inclusion bring us closer to our common goal: exceeding our customers’ expectations. Zurich does not discriminate on the basis of age, race, ethnicity, color, religion, sex, sexual orientation, gender expression, national origin, disability, protected veteran status or any other legally protected status. EOE disability/vet 

Zurich does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resume will become the property of Zurich American Insurance. If you are a preferred vendor, please use our Recruiting Agency Portal for resume submission. 

Location(s): AM - Schaumburg
Remote Working: Yes
Schedule: Full Time
Employment Sponsorship Offered: No  
 
Linkedin Recruiter Tag: #LI-DNI #NAAIA 

Location

Schaumburg, IL, US

Job Overview
Job Posted:
6 months ago
Job Expires:
Job Type
Full Time

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