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Data Scientist
$114k-140k (estimate)
Full Time 7 Months Ago
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Plymouth Rock Assurance is Hiring a Data Scientist Near Boston, MA

The Data Scientists will take a lead role in the end-to-end process of data science initiatives with limited supervision, including but not limited to model design, structure, development and post-deployment model performance monitoring. By conducting innovative research through advanced analytics and technical sophistication, the Data Scientist will contribute to create the economic value at scale from both future growth and profitability perspectives.

In this role, you will be set on a constant “treasure hunt” for new data sources to apply the latest techniques for modeling projects. You will have unparalleled opportunity to apply state-of-the-art machine learning techniques to real world datasets. You will work on a team of PhD level statisticians to create ground-breaking predictive models using new analytical techniques that determine insurance pure premiums, customer life time value, customer buying behaviors and other related topics. This work will be used in setting pricing, underwriting, marketing, policy and claims service, fraud detection and product design strategies for the Plymouth Rock group of Companies. The role is not simply research: you will be part of a tactical team driving the profit and customer growth of an assigned business segment. The analysis and modeling will be tested via implementation both broadly and on a pilot basis to allow us to learn and refine our approaches in rapid succession.

Here is what you will do

  • Heavily contribute to the end-to-end predictive solution provision process, which includes but not limited to, technical evaluation of data usage, methodological selection, model development and creation/maintenance of post-deployment monitoring capability.
  • Actively participate the feedback loop among different stakeholder groups to address newly emerging issues in a timely and constructive manner
  • Collaborate with upper management to evaluate the impact of proposed solutions and incorporates these considerations into recommendations. 
  • Work with third party vendors and leading research institutions to explore new data source and newer methodologies seeking continuous improvement.
  • Data Science projects include but not limited to development of pricing models, evaluation of customers’ lift time value, credibility methodologies as well as experiment/algorithm design and implementation on Telematics.
  • Communicate analytics, strategy and recommendations to diverse audiences, including technical and non-technical.
  • Manage working streams of high complexity.
  • Perform other job-related duties as assigned

Here is what you will bring to the table

  • Master from a quantitative area such as STEM (Science, Technology, Engineering and Mathematics), Economics, and Business, PhD preferred.
  • 5 years of data science experience of developing and deploying advanced solutions with innovated concepts and sophisticated methodologies in the areas of Finance, IRM (Insurance and Risk Management), and Actuarial Science.
  • Hands-on modeling experience and deep understanding of both conventional quantitative analytics such as GLM, GLMM, Bayesian statistics, Actuarial methods and tree-based machine learning techniques like GBM, Random Forest, Topics Model and Deep Learnings.
  • Excellent programming skill of major software packages such as Python, R and SAS
  • Deep understanding of database principle and solution deployment platform.
  • Excellent communication skills both written and oral.
  • Self-starter and critical thinking

Why work for us

  • 4 weeks accrued paid time off 9 paid national holidays per year
  • Tuition Reimbursement 
  • Low cost and excellent coverage health insurance options (medical, dental, vision)
  • Onsite Fitness center opening Summer 2023 at our Boston Headquarters
  • Robust health and wellness program and fitness reimbursements
  • Auto and home insurance discounts
  • Matching gift opportunities
  • Annual 401(k) Employer Contribution (up to 7.5% of your base salary)
  • Company sponsored social events
  • Various Paid Family leave options including Paid Parental Leave
  • $3,000 one-time bonus payment on health insurance waiver

This is a ranged posting, the level will be determined based on your background and experience.

About the Company

The Plymouth Rock Company and its affiliated group of companies write and manage over $1.8 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,800 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”.

 #LI-SM1

Job Summary

JOB TYPE

Full Time

SALARY

$114k-140k (estimate)

POST DATE

09/08/2023

EXPIRATION DATE

04/03/2024

WEBSITE

plymouthrock.com

HEADQUARTERS

Boston, MA

SIZE

1,000 - 3,000

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The job skills required for Data Scientist include Data Science, Machine Learning, Python, Algorithms, Programming, Futures, etc. Having related job skills and expertise will give you an advantage when applying to be a 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 Data Scientist. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a 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 Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a 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 Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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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 Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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