You haven't searched anything yet.
Company Introduction
Verikai is a leading provider of predictive analytics and AI-powered solutions for the insurance industry. Through our innovative platform, Verikai empowers insurers with advanced data-driven risk assessment insights, streamlining the underwriting process and optimizing business outcomes. With a commitment to technological advancement, Verikai is changing the insurance industry by assisting underwriters with decision-making when it comes to risk.
Verikai isn’t your typical insurtech. And we aren’t looking for typical employees. We're a fully remote organization, meaning you can work from your sofa, your favorite café, or a (WIFI-equipped) cabin in the woods. All you need is your brain and a laptop…and we provide the laptop. We’re looking for passionate people who want to do good work for a good purpose. We are a growing and well-funded company with a great product and even better ideas. If you want to make an immediate impact on the way the insurance industry works while working in a fun, fast-paced, and supportive environment, you’ve come to the right place.
Maximizing accuracy. Minimizing risk.
About the role
As part of the analytics team at Verikai, you will be in front of real customer issues and the data they generate in real time. You will be tasked with analyzing large-scale datasets and rewarded by witnessing your analysis been leveraged by the customers and creating tremendous value for them. You will have the opportunity to train yourself, with help from more senior team members, on using various data tools to analyze various types of complex datasets. You will also be able to manipulate our cutting-edge machine learning platform and improve it to build insightful models while learning and practicing how to build a truly operational model. Our start up culture will allow you to will work closely with all aspects of the business, and really shine on building up our analytics process and infrastructure.
Responsibilities
Skills and Qualifications
Perks
Reports to : Director of Data Science
Salary Range: $140,000.00 -$170,000.00
Full Time
Wholesale
$88k-109k (estimate)
09/21/2023
04/28/2024
verikai.com
SAN FRANCISCO, CA
<25
2018
Private
RON SPECTOR
<$5M
Wholesale
Verikai is a California-based consumer insights platform that offers predictive data and risk tool solutions for health insurance underwriters and brokers.
The job skills required for Senior Data Scientist include Analysis, Data Science, Machine Learning, Python, Insight, Algorithms, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Senior Data Scientist positions, which can be used as a reference in future career path planning. As a Senior Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Scientist. You can explore the career advancement for a Senior Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Senior Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Scientist job description and responsibilities
Senior Data Scientists rae responsible in formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
04/06/2022: Utica, NY
Collating and cleaning data from various entities for later use by junior data scientists.
03/23/2022: Moline, IL
Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
02/11/2022: Johnstown, PA
They also monitor the performance of Junior Data Scientists and providing them with practical guidance, as needed.
01/26/2022: Evansville, IN
May also be tasked in selecting and employing advanced statistical procedures to obtain actionable insights.
04/02/2022: Anchorage, AK
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Scientist jobs
Present final result to stakeholders. Make adjustments based on feedback.
03/19/2022: Augusta, GA
Learn the required skills to become a data scientist.
03/27/2022: Gulfport, MS
Review additional data scientist certifications and post-graduate learning.
03/27/2022: Elkhart, IN
Ask the right questions to begin the discovery process.
04/12/2022: Petersburg, VA
Choose one or more potential models and algorithms.
04/13/2022: Peoria, IL
Step 3: View the best colleges and universities for Senior Data Scientist.