Data Scientist (Remote)

Progressive Leasing; United States; Remote; USD 100,000 - 720,000; Full time

Job summary

A leading FinTech company seeks an entry-level Data Scientist to enhance its analytics capabilities. In this remote role, you'll use data mining and machine learning to drive business impact, working within a collegial team atmosphere. Key qualifications include a Master's degree and experience with tools like R and Python.

Benefits

Full Health Benefits

Competitive Compensation

Paid Time Off

Employee Stock Purchase Program

Tuition Reimbursement

Qualifications

• Experience with data exploration and machine learning tools.
• Ability to apply advanced statistical modeling techniques.
• Advanced knowledge of querying languages.

Responsibilities

• Build and maintain predictive models for key business decisions.
• Explore new data sources to optimize models.
• Design and implement in-market tests for new algorithms.

Skills

Data mining

Machine learning

Statistical modeling

Problem solving

Analytics

Education

Master's degree in a quantitative field

Tools

R

Python

SQL

Job description

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Join to apply for the Data Scientist (Remote) role at Progressive Leasing

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Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. As an almost 20+ year old FinTech company that has gone from start-up to industry leader, we know how to innovate, simplify, and value all people. We are a company founded on our grit and we are constantly looking to the future. As an ever-evolving group of entrepreneurs and technologists, we strive to do the right thing period in all aspects of our work. We are a subsidiary of PROG Holdings (NYSE: PRG), an exciting FinTech holding company, with three business segments including Progressive, Vive Financial, and Four, a Buy Now Pay Later (BNPL) platform.

We are currently hiring a Data Scientist to help grow our company and ensure our mission is achieved!

This role is a work from home position and can be performed remotely anywhere in the continental US or in one of our corporate locations in Utah or Arizona.

WE ARE: A team of hungry entrepreneurs with big dreams, gritty FinTech experts, passionate about disrupting big markets, joined on a mission to modernize and accelerate our technical environment. We like to move quickly, break things, make mistakes, and get better every day, as long as we are continuously delivering.

YOU ARE: A driven analytics professional. As a Data Scientist, you will blend analytics, data mining, machine learning, and software engineering to build solutions that will result in massive improvements to the way we do business. You will be responsible for developing and improving key decision systems and predictive models to drive maximum business impact. You will develop a profound understanding of our customers, business processes, products, and financials by studying the data that describe each of these elements of our business. You will be at the forefront of this rapidly evolving field and have the opportunity to develop your own tools and technologies as you do. Most importantly, you’ll be part of a team that forms the backbone of a fast-growing company at the forefront of an exciting, growing industry.

Your Day-to-day

• Build, maintain, and improve decision systems and predictive models that are key to Progressive Leasing’s competitive advantage
• Explore new data sources both internal and external to Progressive and use findings to further improve and optimize model performance
• Design, implement, and read in-market experiments testing new algorithms, technologies, and processes to better serve our customer and stay ahead of the competition
• Prototype solutions to business problems using cutting edge technologies like Shiny to drive immediate business impacts
• Recommend and support strategic business changes through rigorous analytics, deep understanding of the business, and creative problem solving
• Identify, evaluate, and help implement emerging advanced analytics technologies and methods
• Be part of a collegial, fast-growing team of like-minded data scientists who work and play together, and who love what they do and where they do it!
  
  

You’ll Bring

• Master’s degree in a quantitative or technical field (Math, Statistics, Engineering, Economics, Physics, Computer Science, etc.)
• Experience with data exploration and machine learning tools such as those found in R or Python
• Demonstrated ability applying advanced statistical modeling techniques to solve problems
• Ability to craft rigorous research / evaluation design approaches, based upon understanding of clients' research needs
• Advanced knowledge and experience with querying languages (SQL, etc.)
• Understanding of modern software development and engineering practices including scrum/agile, Git, and DevOps
• Track record of achieving business results through creative problem solving and careful implementation
  
  

YOU MIGHT ALSO HAVE

• Advanced knowledge and experience with querying languages (SQL, etc.)
• Understanding of modern software development and engineering practices including scrum/agile, Git, and DevOps
  
  

We Offer

• Competitive Compensation
• Opportunity to advance on the data science and/or leadership track
• Full Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental Leave
• Company Matched 401k
• Paid Time Off + Paid Holidays + Paid Volunteer Hours
• Employee Resource Groups (Black Inclusion Group, Women in Leadership, PRIDE, Adelante)
• Employee Stock Purchase Program
• Tuition Reimbursement
• Charitable Gift Matching
• Job required equipment and services
  
  

Progressive Leasing welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Progressive Leasing does business.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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