Senior Data Scientist

Take your career up a few notches with a leading multi-line insurer that serves its customers in global and local markets. It provides a wide range of property and casualty, and life insurance products and services in more than 210 countries and territories.
THE JOB
You will join a team that uses that uses a combination of machine learning, deep learning, and statistical analysis to solve our business partners most pressing problems and help our customers better understand their risks. This individual should be an independent leader who is capable of driving our advanced AI initiatives, particularly around NLP and document understanding. Successful individuals will have past experience deploying real world deep learning models to production, having functioned in roles such as machine learning scientist, machine learning engineer, applied AI scientist, or similar.
In this role you will:

• Use state-of-the-art deep learning approaches (e.g. CNN, transformer, RNN/LSTM/GRU, GCN/GNN) to extract value from massive amounts of unstructured data (text, images).
• Design and develop machine learning and deep learning systems to deliver meaningful technology to the business.
• Mentor junior team members in the formulation, execution, and delivery of machine learning models. Operate as a technical leader on the project scrum team.
• Write production-ready code to deliver end-to-end AI solutions, working closely with Software, Data, MLOps, and ML Platform engineers.
• Create large, well curated datasets for training models, often using advanced methods to obtain sufficient annotations.
• Contribute to the development of our model monitoring framework to ensure the algorithms are performing as intended.
• Collaborate with business stakeholders to understand their challenges and develop leading technology that delivers business impact.
• Support stakeholders after deployment to ensure impact is achieved.
• Contribute to the development and adoption of best practices and tooling.
• Stay up to date with the latest advancements in the field and how they can support a variety of initiatives.

DESIRED SKILLS AND EXPERIENCE
Most importantly, you need to be a passionate Senior Data Scientist who enjoys his work and is considered to be one of the best within your organization. The ideal Senior Data Scientist would be someone with deep experience in many (if not all) of the following:

• Bachelor s Degree in Computer Science or Engineering or Mathematics/Statistics or Technology and 8 or more years of experience in the Predictive Analytics area
• Experience applying data transformation techniques such as exact and probabilistic matching methods; fuzzy matching, text mining, and data reduction
• Experience with programming and database mining tools such as Hadoop, Hive, Pig, Java, SQL, and Python

We understand that even if you are a seasoned Senior Data Scientist you may not have all the skills listed here. If you are a good at what you do and have a willingness to learn, lets talk.
ADDITIONAL INFORMATION
Compensation: Based on Experience. One of the best in the industry
Minimum Education: Bachelor s, Master s or Doctorate in Computer Science or Engineering
Minimum Experience: 3 or more years of experience transforming data in the business analysis area
Type of position: Full time Permanent Position with benefits
Telecommute: No
Location: Schaumburg, IL
Relocation accepted: No