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Education & Science

Data Scientist

Data Scientist Data Scientist Before the dawn of everything internet, insurance

2019-07-11 2020
Argo Group
Position: Data Scientist Salary: Unspecified Type: Full Time Location: New York City, NY
Data Scientist
Before the dawn of everything internet, insurance was intimate and personal. You walked down the street to chat with your
broker and the risk to your business, your livelihood, was covered with a handshake. Today is different. The average
insurance policy for a mom-and-pop store trades through a dozen different hands and traverses a maze of systems and
processes. Few are accountable and fewer know the whole story.
This is just a taste of the type of big problem we want you to solve. We seek a data scientist to help drive a new digital
product innovation team on a mission to bring a new type of interaction to a market once exclusively driven by in-person
As one of the founding members of a small, multi-disciplinary team of technologists, designers and product managers,
you’ll have the freedom to make key product decisions without much oversight, and the tools and resources to build and
ship ideas quickly. You’ll be a part of a startup-like environment in a company with thousands of existing customers.
Who you are
You’re working at a startup with a lifespan near its finish. You’re the talented member of a team at a popular technology
company looking for the opportunity to have more control and leadership. You’re the workhorse at an agency, tired of
coding products for promotions instead of real users. Ever thought of creating your own product?
Some signs you might be ready:
You are excited to craft and deploy models that transform one of the most entrenched industries in the world.
You want to use your statistical, scientific and engineering training to work with data structures where off-the-shelf
programs just won’t do it.
You paint with plots and your models don’t keep secrets.
NLP isn’t a foreign acronym and you’ve gone from strings to whiskers.
You sail smooth in R and always have numPy, sciPy and scikit-learn on deck.
K-means more than a curt text and Logit and Probit are not Hobbit characters.
Your best friend is a banker and you want your neighbor to be an engineer.
You’ve taken a Turing test and weren’t sure about the results.
You have experience with relational databases such as PostgreSQL, Oracle or SQL Server, and maybe even Hadoop, Hive,
Spark or Redshift.
What you’ll own
The foundation for advanced analytics at a global company.
The roadmap of projects you’ll work on that tie directly to business goals and objectives.
Manage the entire lifecycle of data projects from strategic planning to tactical activities (data collection, cleanup, analysis,
model implementation).
Sourcing new data for a firm that rarely scrapes, pulls or pushes.
Facilitate communication throughout the development process between executive stakeholders, your customers (internal
business unit leaders) and technical teams that are implementing/automating your work .
Coordinate and build strong working relations with various internal stakeholder groups, including IT, engineering and legal.
Skill set
Develop custom data models and algorithms to apply to data sets.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Develop company A/B testing framework and test model quality.
Machine Learning/AI (Decision trees, association rules, neural networks, inductive logic, clustering and classification,
Bayesian networks, supervised or unsupervised learning)
Statistical modeling (R, numPy, Julia, Matlab, Stata, SAS)
Degree or certification in computer science, econometrics, statistics, mathematics or equivalent
We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender
expression, gender identity, genetic information, marital status, national origin or citizenship (including language use
restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical
condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming
practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or
breastfeeding), sexual orientation, military or veteran status, or other status protected by federal, state and/or local laws.
Applicants: For the most convenient application experience, please use the “Apply with LinkedIn” button. If manually
entering, only include your most recent or relevant job information needed for this role. For either method, please attach
your most current resume. Additional job history may be obtained if selected for the interview process.


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