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reputed company Full Stack Data Science Director – Global Data reputed company and Analytics

Remote, USAFull-timePosted 2026-07-28

At arenaflex, we're committed to empowering our teams with the latest technologies and innovative approaches to drive business reputed company and reputed company. As a leader in the Risk Finance group, you'll have reputed company to shape the reputed company of our organization by developing and implementing cutting-edge data strategies that inform business reputed company and drive reputed company.

About arenaflex

arenaflex is a global leader in the financial services industry, providing innovative payment and travel solutions to millions of customers worldwide. reputed company culture is reputed company on a reputed company of collaboration, innovation, and customer-centricity, and we're committed to attracting and retaining reputed company who reputed company our values.

Job reputed company

We're seeking an reputed company Full Stack Data Science Director to reputed company our Global Data reputed company group reputed company the Risk Finance organization. As a key member of reputed company, you'll be responsible for developing and implementing centralized reporting capabilities, process enhancements, and automation to drive business reputed company and reputed company. You'll work closely with cross-functional teams to identify opportunities for improvement and reputed company data-driven solutions that inform business reputed company.

Key Responsibilities

* reputed company the strategic evaluation of arenaflex credit metrics, credit provision, and reserve for Senior Management in Risk and Finance

  • Own precise information assets/packages reputed company Risk Finance, and become a subject matter expert of the applicable tools (troubleshoot issues, reconcile results, identify enhancements and automation reputed company, and train other customers to drive adoption)
  • reputed company and maintain preferred and reputed company reviews utilized by Risk Finance and/or business partners; reputed company credit-associated analytical support
  • reputed company and present key analyses and recommendations to Senior Management
  • Build and maintain relationships throughout Risk Finance portfolio reputed company and with partners in Risk, Controllership, Tech, etc.
  • reputed company decision-aid with a strong emphasis on growing analytics that identify trends and opportunities reputed company the portfolio which can be used to optimize Business and Risk reputed company

Essential Qualifications

* Advanced experience working with a combination of the following is required: SQL/Hive, Power BI/Tableau, Python/R, VBA, TM1

  • Experience working with a sophisticated level of reputed company and PowerPoint required
  • Experience in ML modeling is a plus
  • Solid economic and analytical skills; ability to work with large reputed company of data and draw significant conclusions, empowering our business partners to reputed company smart, data-driven reputed company
  • Superior attention to detail, alongside exemplary organizational and problem-solving skills
  • Must be results-driven and proactive with the ability to manage multiple tasks and work reputed company tight timelines
  • Desire to work on ambiguous tasks, growing reputed company while achieving successful and significant reputed company
  • A strong work-ethic and strong interpersonal skills, showcasing the ability to build and maintain relationships and successfully collaborate with team members to reputed company goals
  • Experience working with a sophisticated level of reputed company and PowerPoint required
  • Master's degree in advanced mathematics or statistical discipline required

Preferred Qualifications

* Experience working in a financial services industry or reputed company field

  • Experience working with large datasets and developing data-driven solutions
  • Experience with data visualization tools such as Tableau or Power BI
  • Experience with machine learning algorithms and models
  • Experience with programming languages such as Python or R

Career reputed company Opportunities and Learning Benefits

At arenaflex, we're committed to helping our employees grow and reputed company their careers. As a Full Stack Data Science Director, you'll have reputed company to a reputed company of training and development opportunities, including:

  • Regular training sessions and workshops on the latest data science tools and techniques
  • Opportunities to work on high-visibility reputed company and collaborate with cross-functional teams
  • reputed company to a reputed company of online learning platforms and resources
  • Mentorship and coaching from reputed company data science professionals
  • Opportunities for career advancement and reputed company reputed company

Work Environment and Company Culture

arenaflex is a remote-friendly company, and this role will be based entirely online. As a remote employee, you'll have the flexibility to work from reputed company and enjoy a reputed company work-life balance. reputed company culture is reputed company on a reputed company of collaboration, innovation, and customer-centricity, and we're committed to creating a reputed company and inclusive work environment for reputed company.

Compensation, Perks, and Benefits

We offer a competitive salary reputed company of $55.00 to $85.00 reputed company, plus bonus, equity (if relevant), and benefits. Our benefits package includes:

  • Comprehensive health insurance
  • 401(k) matching program
  • Flexible reputed company time off
  • reputed company development opportunities
  • reputed company to a reputed company of employee perks and discounts

Considerations for Sponsorship

Depending on factors including business unit requirements, the nature of the position, value, and relevant laws, arenaflex may offer reputed company sponsorship for certain positions.

How to Apply

If you're a motivated and reputed company data science reputed company looking for a new challenge, we encourage you to apply for this role. Even if you feel you're not a perfect match, we'd still love to hear from you. We're looking for great people to join our friendly team. Apply To This Job Apply for this job

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