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Data Scientist
Payit Austin, TX
$106k-130k (estimate)
Full Time | IT Outsourcing & Consulting 1 Month Ago
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Payit is Hiring a Remote Data Scientist

PayIt is a fast-growing GovTech company on a mission to modernize how residents interact and transact with government, improving the customer experience and helping our client agencies more efficiently and effectively achieve their missions. Our easy-to-implement platform consolidates government services and payments into one connected experience and enables our clients to drive resident trust, collect revenue quickly, and redeploy their staff to more important challenges. This innovative approach to government service delivery has garnered significant recognition in both the public and private sectors, including our inclusion in the GovTech 100 every year since 2017. PayIt solutions cover services including hunting and fishing licensing, DMV, courts, property tax, utilities, tolling, and more.

Our culture welcomes people who exhibit what we call "PayIt DNA": High integrity, drive, grit, high aptitude, and team orientation. We are collaborative and passionate about the work we do to improve the lives of our government clients and the end users they serve. We have ambitious scaling goals, and we look for team members who are ready to roll up their sleeves, solve problems, and find new opportunities to win with our clients. And we have a lot of fun together.

What You'll Be Doing:

  • Analytics Production: Generate analytics and dashboards to support core business objectives, with a focus on Client Operations, Finance, and Marketing
  • Statistical Analysis: Apply statistical methods to analyze data, identifying trends and insights that can inform business strategies
  • Query Writing: Develop and execute SQL queries to collect and analyze raw data, ensuring accurate and efficient data retrieval for analysis
  • Presentation: Clearly present observations and findings to leadership teams, translating complex data into actionable insights
  • Data Requirements Writing: Collaborate with the Data Engineering team to specify requirements for new data sources, facilitating the growth of our data warehouse
  • Product Enhancement: Work alongside the product team to drive product enhancements through improved data utilization
  • Quality Assurance: Ensure the quality and reliability of new data before it is released to the business
  • Ad-Hoc Support: Respond to ad-hoc analytics requests, providing timely and impactful data analysis as needed

What You'll Need to Have:

  • Educational Background: Bachelor's Degree or 2 years of experience in data science, business analytics, or a related role
  • Data Analytics Proficiency: Strong skills in data analytics and information presentation
  • Business Acumen: Demonstrated ability to translate business needs into data-driven analysis
  • Data Visualization Tools: Experience with tools such as Tableau, AWS QuickSight, or similar.
  • Ownership Mindset: A proactive approach to your work, understanding that the assets you create will be crucial for business decisions

Bonus Points for:

  • Python, R, or another programming language that can be used for statistical analysis
  • Bachelor's Degree in a Quantitative field including, but not limited to Data Science, Statistics, Mathematics or Computer Science
  • Experience using Process Improvement frameworks such as Six Sigma, TQM, Lean or PDCA
  • Experience with Regression Analysis
  • Experience with AI/ML Models
  • Experience with Docker and Kubernetes
  • Experience with dbt, dbt-core or dbt Cloud
  • Experience with modern data orchestration frameworks like Argo Workflows, Airflow, or Dagster
  • Experience with payment processing and the accompanying data

Annual Salary Range:

$85,000—$105,000 USD

Why Work For Us:

  • Our mission matters. Your work will make life better for our government agency clients and the millions of residents they serve.
  • You'll do some of the best work of your career here. We tackle complex challenges that are interesting to solve, and you'll grow a ton working at PayIt
  • People are our most important resource. Everyone has a voice. Collaboration is our default setting. And we have fun together.
  • We #payitforward with our corporate volunteer program, serving the communities where we work and live.
  • Competitive salaries, excellent benefits, flexible working arrangements, and all the resources you will need to do your best work.

What We Care About:

We hire high aptitude, high integrity people who are great communicators and want to be part of a growing team.

Commitment to Equal Opportunity

PayIt is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law.

PayIt is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an email to the People Operations Team and let us know the nature of your request and your contact information.

NOTE: U.S. Citizens and all those authorized to work for any employer in the U.S. are encouraged to apply. We are unable to provide sponsorship in the United States at this time. PayIt participates in E-Verify. To learn more, click here. Canadian Citizens and those authorized to work in Canada without sponsorship are also encouraged to apply.

To all recruitment agencies: PayIt does not accept agency resumes. Please do not forward resumes to our careers' alias, PayIt employees or any other company location. PayIt is not responsible for any fees related to unsolicited resumes.

Stay Current on PayIt Happenings: Follow Us On Twitter, LinkedIn, Facebook, and Instagram.

Within the parameters of this position, ensure the confidentiality, integrity, and availability, and exercise due care of, company, client, and citizen data that is stored, processed, and transmitted by and for PayIt, as outlined in PayIt's Business Code of Conduct and Information Security Policies.

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$106k-130k (estimate)

POST DATE

03/27/2024

EXPIRATION DATE

05/26/2024

WEBSITE

payitgov.com

HEADQUARTERS

SHAWNEE MISSION, KS

SIZE

<25

FOUNDED

2013

TYPE

Private

CEO

JOHN THOMSON

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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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 scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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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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