Experienced Full Stack Data Science Director – Global Data Strategy and Analytics
At careerzynith, we're committed to empowering our teams with the latest technologies and innovative approaches to drive business growth and success. As a leader in the Risk Finance group, you'll have the opportunity to shape the future of our organization by developing and implementing cutting-edge data strategies that inform business decisions and drive revenue.
**About careerzynith**
careerzynith is a global leader in the financial services industry, providing innovative payment and travel solutions to millions of customers worldwide. Our company culture is built on a foundation of collaboration, innovation, and customer-centricity, and we're committed to attracting and retaining top talent who share our values.
**Job Summary**
We're seeking an experienced Full Stack Data Science Director to lead our Global Data Strategy group within the Risk Finance organization. As a key member of our team, you'll be responsible for developing and implementing centralized reporting capabilities, process enhancements, and automation to drive business growth and success. You'll work closely with cross-functional teams to identify opportunities for improvement and develop data-driven solutions that inform business decisions.
**Key Responsibilities**
* Lead the strategic evaluation of careerzynith credit metrics, credit provision, and reserve for Senior Management in Risk and Finance
* Own precise information assets/packages within Risk Finance, and become a subject matter expert of the applicable tools (troubleshoot issues, reconcile results, identify enhancements and automation possibilities, and train other customers to drive adoption)
* Develop and maintain preferred and ad-hoc reviews utilized by Risk Finance and/or business partners; provide credit-associated analytical support
* Develop and present key analyses and recommendations to Senior Management
* Build and maintain relationships throughout Risk Finance portfolio groups and with partners in Risk, Controllership, Tech, etc.
* Provide decision-aid with a strong emphasis on growing analytics that identify trends and opportunities within the portfolio which can be used to optimize Business and Risk decisions
**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 Excel and PowerPoint 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
* Experience working with a sophisticated level of Excel and PowerPoint required
* Master's degree in advanced mathematics or statistical discipline required
**Preferred Qualifications**
* Experience working in a financial services industry or related 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 Growth Opportunities and Learning Benefits**
At careerzynith, we're committed to helping our employees grow and develop their careers. As a Full Stack Data Science Director, you'll have access to a range 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 projects and collaborate with cross-functional teams
* Access to a range of online learning platforms and resources
* Mentorship and coaching from experienced data science professionals
* Opportunities for career advancement and professional growth
**Work Environment and Company Culture**
careerzynith 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 anywhere and enjoy a better work-life balance. Our company culture is built on a foundation of collaboration, innovation, and customer-centricity, and we're committed to creating a positive and inclusive work environment for all employees.
**Compensation, Perks, and Benefits**
We offer a competitive salary range of $55.00 to $85.00 hourly, plus bonus, equity (if relevant), and benefits. Our benefits package includes:
* Comprehensive health insurance
* 401(k) matching program
* Flexible paid time off
* Professional development opportunities
* Access to a range of employee perks and discounts
**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.
**How to Apply**
If you're a motivated and experienced data science professional 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
**About careerzynith**
careerzynith is a global leader in the financial services industry, providing innovative payment and travel solutions to millions of customers worldwide. Our company culture is built on a foundation of collaboration, innovation, and customer-centricity, and we're committed to attracting and retaining top talent who share our values.
**Job Summary**
We're seeking an experienced Full Stack Data Science Director to lead our Global Data Strategy group within the Risk Finance organization. As a key member of our team, you'll be responsible for developing and implementing centralized reporting capabilities, process enhancements, and automation to drive business growth and success. You'll work closely with cross-functional teams to identify opportunities for improvement and develop data-driven solutions that inform business decisions.
**Key Responsibilities**
* Lead the strategic evaluation of careerzynith credit metrics, credit provision, and reserve for Senior Management in Risk and Finance
* Own precise information assets/packages within Risk Finance, and become a subject matter expert of the applicable tools (troubleshoot issues, reconcile results, identify enhancements and automation possibilities, and train other customers to drive adoption)
* Develop and maintain preferred and ad-hoc reviews utilized by Risk Finance and/or business partners; provide credit-associated analytical support
* Develop and present key analyses and recommendations to Senior Management
* Build and maintain relationships throughout Risk Finance portfolio groups and with partners in Risk, Controllership, Tech, etc.
* Provide decision-aid with a strong emphasis on growing analytics that identify trends and opportunities within the portfolio which can be used to optimize Business and Risk decisions
**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 Excel and PowerPoint 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
* Experience working with a sophisticated level of Excel and PowerPoint required
* Master's degree in advanced mathematics or statistical discipline required
**Preferred Qualifications**
* Experience working in a financial services industry or related 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 Growth Opportunities and Learning Benefits**
At careerzynith, we're committed to helping our employees grow and develop their careers. As a Full Stack Data Science Director, you'll have access to a range 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 projects and collaborate with cross-functional teams
* Access to a range of online learning platforms and resources
* Mentorship and coaching from experienced data science professionals
* Opportunities for career advancement and professional growth
**Work Environment and Company Culture**
careerzynith 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 anywhere and enjoy a better work-life balance. Our company culture is built on a foundation of collaboration, innovation, and customer-centricity, and we're committed to creating a positive and inclusive work environment for all employees.
**Compensation, Perks, and Benefits**
We offer a competitive salary range of $55.00 to $85.00 hourly, plus bonus, equity (if relevant), and benefits. Our benefits package includes:
* Comprehensive health insurance
* 401(k) matching program
* Flexible paid time off
* Professional development opportunities
* Access to a range of employee perks and discounts
**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.
**How to Apply**
If you're a motivated and experienced data science professional 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