Data Scientist

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch

Job Description

Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.

But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.

It’s the reason Verisk is part of the UN Global Compact sustainability initiative. It’s why we made a commitment to balancing 100 percent of our carbon emissions. It’s the aim of our “returnship” program for experienced professionals rejoining the workforce after time away. And, it’s what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers’ problems.

At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do. 

At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the fourth consecutive year. We’ve been recognized by Forbes as a World’s Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce. Verisk’s Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.

Job Description

Responsibilities:

• Under supervision, executes project plans for timely project completion.
• Utilizes statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs. 
• Performs analyses of structured and unstructured data to solve multiple and complex business problems. utilizing advanced statistical, mathematical and machine learning technique.
• Ability to research and develop new approaches, keeping up to date.
• Tests new statistical analysis methods, software and data sources for continual improvement of quantitative solutions. Implements as needed.
• Creates clear and easy to understand documents for product support (technical). 
• Presents analysis ideas, progress reports and results to internal managers, project managers.
• Collaborates with other Data Scientist to develop technical/business approaches and new or enhanced technical tools. Participates in collaborations for implementation.
• Completes all responsibilities as outlined on annual Performance Plan.
• Completes all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.

Qualifications

Skills/Experience required:

• Graduate-level degree preferred with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline.
• Experience with data engineering, core data science analytic methodologies, and text mining.
• Knowledge in and applied experience with statistical and machine learning.
• Experience (1-3 years) using machine learning languages (e.g. R, Python, SQL) and a working familiarity with cloud computing environments.
• Logical, evidence-based problem solving and critical thinking skills.