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ePayPolicy
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$108k-133k (estimate)
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Data Scientist
ePayPolicy Austin, TX
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$108k-133k (estimate)
Full Time 2 Days Ago
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ePayPolicy is Hiring a Data Scientist Near Austin, TX

ePayPolicy offers easier payment tools, built for insurance. ePayPolicy's products bring insurance payments up to speed for agencies, carriers, MGAs, and PFCs, with secure online payment pages, automated check processing, and payables reconciliation. 6,500 insurance companies trust ePayPolicy and our expert, live support team to handle their payments every day.
We're based in Austin, TX, and have clients in all 50 US states and Canada. Founded in 2014, we have the support and backing of Serent Capital, one of the top private equity firms in the US that invests in high-growth software and services firms and manages over $2B in committed capital.
Job description
We're looking for a Data Scientist who is obsessed with delivering world-class service to join our vibrant company that's growing fast.
In this role, you will:
  • Utilize strong SQL skills to collect and manipulate data from various company data sets.
  • Perform in-depth data analysis, identifying trends and insights to drive informed decision-making.
  • Develop and maintain data warehousing solutions to ensure data accuracy and availability.
  • Collaborate with cross-functional teams, including third party vendors, to create and manage data warehouse projects.
  • Utilize PowerBI to create data visualizations and interactive dashboards that communicate key findings, particularly for financial performance and risk management.
  • Play a pivotal role in ensuring data quality and integrity within the organization.
  • Collaborate with the finance and accounting teams to optimize financial processes through analysis
  • Create and manage reports used to produce sales team commissions and revenue recognition.
  • Assist in the automation of data-related processes by developing an in-depth understanding of source data and business requirements.
  • Share your knowledge and experience by mentoring and collaborating with junior data and FP&A analysts.
  • Stay up-to-date with the latest advancements in data science and machine learning techniques to drive innovation within the company.
  • Communicate the results of analyses clearly and effectively to product and leadership teams, influencing the overall product strategy.
What you bring:
  1. BA/BS in Data Science/Analytics, Finance, Accounting or closely related.
  2. Two years experience as a Data Scientist/Analyst, FP&A Analyst, Business Analyst, or closely related, including experience in the following:
    1. SQL data extraction and manipulation
    2. PowerBI for data visualization and reporting dashboards;
    3. Programming in Python, tailored to payment analysis;
    4. Data warehousing and ETL processes.
    5. Presenting complex findings to both technical and non-technical stakeholders.
  3. All experience may be gained concurrently.
Why ePayPolicy
  • Competitive salary
  • Comprehensive benefits package with employer-paid basic life and disability premiums
  • 401K
  • Unlimited PTO
  • Company-sponsored quarterly "ePayItForward" initiatives
  • Supportive and inclusive company culture with a focus on work/life balance
  • Fully-stocked kitchen
  • Lunch stipend when working onsite
  • Open communication (We won't box you in! If you have a cool idea for a product improvement or a suggestion on how to improve the customer experience, let's talk about it. We value everyone's ideas and opinions.)
  • Huge opportunity for growth
HQ is located in Austin, TX. We operate on a hybrid schedule. Standard schedules are three days per week in the office, however, the cadence and days are determined by each team and manager.
This position qualifies under ePay3's Employee Referral Program.
ePayPolicy Hiring Practice
We value diversity at ePayPolicy. The company will hire, recruit, and promote without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, pregnancy or maternity, veteran status or any other status protected by applicable law. We understand the importance of creating a safe and comfortable work environment and encourage individualism and authenticity in every member of our team.

Job Summary

JOB TYPE

Full Time

SALARY

$108k-133k (estimate)

POST DATE

06/24/2024

EXPIRATION DATE

07/09/2024

WEBSITE

epaypolicy.com

HEADQUARTERS

AUSTIN, TX

SIZE

25 - 50

FOUNDED

2014

CEO

MILAN MALKANI

REVENUE

<$5M

INDUSTRY

IT Outsourcing & Consulting

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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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A data scientist develops software to structure the raw data.

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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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