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Senior Data Scientist, Product Analytics

Role overview

Qualifications

  • At least 2 years experience using SQL
  • Experience with Python or R for statistical analysis
  • Medium to advanced understanding of statistics as they relate to experimentation
  • Ability to present data in a compelling way to empower product and engineering teams to make better decisions

Responsibilities

  • Act as a strategic partner to product managers to enable data-driven decisions, run experiments, and evaluate how success metrics change over time
  • Become a subject matter expert in the data, making impactful recommendations to improve product and processes
  • Contribute to building January’s reputation as a data-focused collection agency that operates with sophistication and intentionality
  • Collaborate with the operations team to ensure client success managers are informed and equipped to answer questions and handle client conversations

About the company

January logo

January

Fintech: Finance + Technology

At January, we work to ensure that borrowers who fall behind on debt are treated with dignity. Owing to outdated processes and bad actors, traditional debt collection is rife with harassment and fraud. Our products tackle this by helping financial institutions modernize collections, giving borrowers simpler and more compassionate ways to get back on track.

Company details

Company typeScaleup
IndustryFintech: Finance + Technology
Company size51 - 200

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Job description

At January, we're transforming the lives of consumers by bringing humanity to consumer finance. Our data-driven products help financial institutions streamline their collections, offering borrowers straightforward and compassionate solutions to regain financial stability and control over their lives. We're not just expanding access to credit – we're restoring dignity and giving millions of people the chance to achieve financial freedom.

About the Role

As a Senior Data Scientist, Product Analytics, you'll play a significant role in shaping product direction through data analysis, visualization, modeling and experimentation. Working closely with product managers, your actionable insights will directly affect how our users get out of debt and back to financial stability.

What You’ll Work On

You’ll act as a strategic partner to product managers at January, enabling them to continuously make data-driven decisions, run experiments, and evaluate how our most important success metrics are changing over time. You will become a subject matter expert in our data, making impactful recommendations to improve our product and processes. 

You’ll also contribute to building January’s reputation as a data-focused collection agency that operates with sophistication and intentionality. You’ll work closely with the operations team, ensuring that our client success managers are informed and equipped to answer any question and handle any client conversation with ease.


What You Bring to the Table

  • Have at least 2 years experience using SQL

  • Have used languages like Python or R to conducting statistical analysis 

  • Have a medium to advanced understanding of statistics as they relate to experimentation

  • Are able to present data in a compelling way to empower our product and engineering teams to make better decisions.

  • Are able to think strategically and consider the impact of your work on January’s success as a whole

  • Are able to work independently: given context and some initial guidance, you’re able to do a deep dive and make insightful recommendations for the business.

 

We are currently hiring for this position in our New York office.

As a New York City-based company, we are dedicated to transparent, fair, and equitable compensation practices that reflect our commitment to fostering an environment where all team members are valued and supported. We encourage individuals from all backgrounds to apply.

We are an equal opportunity employer committed to diversity and inclusion in the workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, age, veteran status, or any other legally protected characteristic.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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