Senior Data Scientist, Product Analytics

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.

{
  "content_hash": "efd39d367401191339707832d04072355b092d082caa3ad4f456718012017231",
  "source_hash": "7b9223b9062f2c23c73dcf231f69b85d58df220ade4bffe60c8f0cdedfc534bc",
  "last_changed_at": "2026-05-29T06:01:33.106Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "New York City",
    "city": "New York City",
    "region": "NY",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T09:10:59.098Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "New York City",
      "city": "New York City",
      "region": "NY",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.75
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}

{}

{
  "id": "848623c1-47a0-4877-a516-a60b7d070ed1",
  "team": "Product",
  "title": "Senior Data Scientist, Product Analytics",
  "jobUrl": "https://jobs.ashbyhq.com/january/848623c1-47a0-4877-a516-a60b7d070ed1",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/january/848623c1-47a0-4877-a516-a60b7d070ed1/application",
  "isListed": true,
  "isRemote": false,
  "location": "New York City",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Product",
  "publishedAt": null,
  "workplaceType": "Hybrid",
  "employmentType": "FullTime",
  "secondaryLocations": []
}