Senior Data Scientist

  • White Plains, NY, USA
  • Full-time
  • Verisk Business: Argus

Company Description

As one of the original innovators in lending, credit, fraud, and spend analytics, Verisk Financial integrates one of the industry’s largest sets of data to help banks, financial regulators, retailers, and media companies grow their businesses. We combine data with predictive analytics to uncover new consumer and business insights and integrate this data with the most technologically advanced platforms.

Verisk Financial | Argus is a leading provider of intelligence, decision support solutions, and advisory services to financial institutions across the global commerce ecosystem. Our clients include more than 50 top U.S., Canadian, and other international financial organizations, regulators, payment providers, merchants, and media. Argus is the leading source of segment-level portfolio management benchmarking data, analytics, models, and advisory services. We maximize value delivery to clients by combining proprietary data sets, cutting-edge software and analytic tools, domain expertise, and our unique results-oriented approach. Customers worldwide use our services for tailored data management solutions that include business intelligence platforms, profile views, mobile data solutions, enterprise database services, and fraud risk scoring algorithms for marketing, fraud, and risk mitigation. Our clients gain competitive advantage from our exclusive focus on leveraging global best-in-class analytics and methodologies to help achieve their business and regulatory objectives. To learn more about Argus please visit us at: www.argusinformation.com. We are proud to be a part of the Verisk family of companies!

With a history of impressive growth, an innovative culture, and offering industry-leading solutions, Verisk Analytics is an amazing place to work and make a difference. In 2018, Forbes magazine named Verisk to its World’s Best Employers list and, in 2017, to its World’s Most Innovative Companies list for the third consecutive year. We also earned the Great Place to Work® Certification for the third consecutive year in recognition of our outstanding workplace culture.

Verisk is a leading data analytics provider serving customers in insurance, energy and specialized markets, and financial services. Using advanced technologies to collect and analyze billions of records, Verisk draws on unique data assets and deep domain expertise to provide first-to-market innovations integrated into customer workflows. We’ve been delivering predictive analytics and decision support solutions to our customers for nearly 50 years, helping them protect people, property, and financial assets. At Verisk, you’ll be part of an organization that’s committed to serving the long-term interests of our stakeholders, including the communities where we operate.

At Verisk, you can build an exciting career with meaningful work; create a positive and lasting impact on the business; and find the support, coaching, and training you need to advance your career. Our culture of innovation means your ideas on how to improve our business will be heard. As key contributors to our success, our team members enjoy working in a business-casual, collaborative environment that offers state-of-the-art resources, advanced technologies, and an excellent benefits package.

Job Description

Verisk Financial is seeking an experienced Data Science professional who’s excited to take on some of the world’s most difficult data challenges. A Principal Data Scientist is a proven leader and mentor who loves getting their hands-on data and solving challenging problems with real-world impact. You will be able to shape how data science is done on a wide variety of problems at Verisk Financial and how we grow our data science function.

What we are looking for:

 You will have at least 5-7 years of experience in applied research and statistical modeling with a degree or higher (MS/Ph.D.) in statistics, mathematics, physics, or similar field

·         A track record of creatively tackling challenging data problems

·         Full understanding of common machine learning techniques and familiarity with ongoing research

·         Success mentoring and growing exceptional data scientists

·         Fluency with analytical programming, including libraries for cleaning, reshaping, exploring and visualizing data

·         Strong knowledge of machine learning, computer science, mathematics, and statistics

·         Experience with several of the following concepts: decision trees, random forests, and gradient boosting; linear regression; logistic regression; linear and non-linear dimensionality reduction using PCA, kernel methods, and dictionary learning; clustering with K-means, hierarchical clustering, and DBSCAN; autoencoders; generative models; and sequential data modeling

 

·         Strong programming skills in Python, R, and SQL

·         The ability to clearly convey complex concepts with plain language

·         Demonstrated ability to produce high-quality, product-focused, scalable analysis

·         Problem-solving with determination, perseverance, and grit

·         You are motivated by working on hard problems with smart people

·         Ability to prioritize

·         Experience running or working at data-centric startups is plus

Qualifications

  •         Strong programming skills in Python, R, and SQL
  • ·       The ability to clearly convey complex concepts with plain language
  • ·       Demonstrated ability to produce high-quality, product-focused, scalable analysis
  • ·       Problem-solving with determination, perseverance, and grit
  • ·       You are motivated by working on hard problems with smart people
  • ·       Ability to prioritize
  • ·       Experience running or working at data-centric startups is plus

Additional Information

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.

http://www.verisk.com/careers.html

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. 

 

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