About Afficiency

Afficiency was founded with the goal of providing life insurance to everyone on the platforms they already trust. We’ve launched with enormous success and are growing fast.

Afficiency has developed a digital life insurance platform that allows new products to be digitized and made available for distribution rapidly, completely via API. Headquartered in New York, the company has been partnering with insurance carriers and reinsurers since 2018 to bring new innovative products to market. All of Afficiency’s life insurance products are completely digital, provide instant coverage and are accessible via the many platforms with whom we partner. Simply put, there is nothing comparable to this in the marketplace.

Afficiency is comprised of proven start-up entrepreneurs and life insurance innovators. We have a growing team and are excited about changing a $600B industry. We are making life insurance accessible to millions of people who would otherwise not have access to these important products that protect their families. Learn more at afficiency.com

About The Role

Please note that this job is only hiring candidates that live in the Metro NYC area and are able to commute to the office.

We are seeking a data scientist to join our business intelligence team to help us make better business decisions based on our data. The ideal candidate will have a working knowledge of statistics, mathematics, and data science programming languages (e.g., SQL, R, Python).

Your primary responsibilities will be performing statistical analyses and identifying patterns and trends that can improve our products’ and services’ efficiency and usability. You will also be expected to maintain and improve our data infrastructure and tools.

Responsibilities

Work with stakeholders to identify key metrics and opportunities for improving business processes, products, and services
Build, deploy, and maintain data management systems and back-end data infrastructure for our business intelligence pipeline
Perform data mining, exploration, and analysis
Create data visualizations, reports, dashboards, and data audits
Design, train, and implement machine learning algorithms
Leverage predictive models to optimize customer experiences
Creating automated anomaly detection

Requirements

Bachelor's degree in data science, data analytics, or related field
Master’s degree or Ph.D. in a quantitative field, such as statistics, computer science, mathematics, or engineering
Proficiency in Python, Java, or Kotlin
Knowledge of data science toolkits such as R, NumPy, and MatLab
Experience with big data analytics technologies such as Spark and Hadoop
Experience with data visualization tools such as D3.js and Tableau
Expertise in data mining and machine learning
Working knowledge of statistical models and business intelligence
Familiarity with cloud-based infrastructure
Ability to store and process unstructured data with NoSQL databases and machine learning models

Benefits

Competitive package with benefits and equity
Flexible vacation and working from home (continuing post-pandemic)
Work at a supportive and fast-growing start-up with a fantastic team
Opportunity to make an impact in the lives of tens of millions of consumers
Environment to learn from other team members, grow a business from the ground up and quickly assume additional responsibility
Support in developing your skills and accelerating your career quickly
Regular team get-togethers in awesome locations

Afficiency

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