Experienced Full Stack Data Science Director – Global Data Strategy and Analytics

Are you a seasoned data science professional with a passion for driving business growth through data-driven insights? Do you have a strong background in data strategy, analytics, and machine learning? If so, we invite you to join careerzynith as an Experienced Full Stack Data Science Director – Global Data Strategy and Analytics. In this role, you will lead the Global Data Strategy group within Risk Finance, developing and implementing centralized reporting capabilities, process enhancements, and automation to provide strong forecasts and analytics for the wider Risk Finance organization.

About careerzynith

careerzynith is a leading global financial services company that provides innovative payment and travel solutions to individuals and businesses worldwide. Our company is committed to delivering exceptional customer experiences, driving business growth, and fostering a culture of innovation and collaboration. As a member of our team, you will have the opportunity to work with a talented group of professionals who share your passion for data science and analytics.

Position at a Glance

*

Company:

careerzynith

Start Date:

Immediate openings available

Compensation:

A competitive salary, bonus, equity (if relevant), and benefits

Position:

Experienced Full Stack Data Science Director – Global Data Strategy and Analytics

Location:

Remote

Key Responsibilities

As the Director of Data Science, you will be responsible for leading the strategic evaluation of careerzynith credit metrics, credit provision, and reserve for Senior Management in Risk and Finance. Your key responsibilities will include:

• Leading the strategic evaluation of careerzynith credit metrics, credit provision, and reserve for Senior Management in Risk and Finance
• Owning precise information assets/packages within Risk Finance, and becoming a subject matter expert of the applicable tools (troubleshooting issues, reconciling results, identifying enhancements and automation possibilities, and teaching other customers to drive adoption)
• Developing and maintaining preferred and ad-hoc reviews utilized by Risk Finance and/or business partners; providing credit-associated analytical aid
• Developing and presenting key analyses and recommendations to Senior Management
• Building and maintaining relationships across Risk Finance portfolio groups and with partners in Risk, Controllership, Tech, etc.
• Providing selection-aid with a strong emphasis on growing analytics that identify trends and opportunities in the portfolio which can be used to optimize Business and Risk decisions

Required Qualifications

To be successful in this role, you will need to possess the following 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 Excel and PowerPoint is required
• Experience in ML modeling is a plus
• Solid economic and analytical skills; ability to work with large units of data and draw significant conclusions, empowering our business partners to make smart, data-driven decisions
• 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 within tight timelines
• Desire to work on ambiguous tasks, growing clarity while achieving successful and significant outcomes
• A strong work-ethic and strong interpersonal skills, showcasing the ability to build and maintain relationships and successfully collaborate with team members to achieve goals
• Master's degree in advanced mathematics or statistical discipline is required

Considerations for Sponsorship

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

Salary Range

The anticipated salary range for this activity requisition is $55.00 to $85.00 hourly + bonus + equity (if relevant) + benefits. Ultimately, in determining your pay, we will consider your location, experience, and other job-related factors.

Benefits

We support our colleagues and their loved ones with benefits and programs that promote their holistic well-being. This means we prioritize their physical, economic, and intellectual health at every stage of life.

Take the Next Step

Are you ready for this challenge? Apply now and let's discuss how you can become a vital part of our success story. Apply for this job