Senior Data Science Manager – NLP, Machine Learning & AI Solutions | arenaflex Global

About arenaflex

Welcome to arenaflex, where we believe in the power of data to transform businesses and enrich customer experiences. As a global leader in financial services and innovative technology solutions, arenaflex has been at the forefront of leveraging advanced analytics and cutting-edge artificial intelligence to deliver unparalleled value to our millions of customers worldwide. Our commitment to excellence, innovation, and customer-centricity has made us one of the most respected brands in the industry. We invite you to join our dynamic team and be part of a culture that values curiosity, collaboration, and continuous learning.

At arenaflex, we understand that the way we serve our clients is constantly evolving, and we embrace this challenge with enthusiasm and dedication. Whether we're developing better ways to prevent identity fraud, empowering entrepreneurs to start new businesses, or creating seamless digital experiences, we work with some of the most significant datasets in the world to uncover insights that can profoundly impact our customers and our business. With opportunities to learn from industry leaders who have shaped the course of our field, you can grow your career and define your own path at arenaflex.

Role Overview: Manager – Data Science

We are currently seeking a talented and experienced Manager – Data Science to join our Decision Science team within the Credit and Fraud Risk organization at arenaflex. This is a pivotal role where you will act as a critical member of a team that is responsible for managing enterprise risks throughout the customer lifecycle across our consumer and business networks, and across all of our global products.

As a Manager in Decision Science at arenaflex, you will be a thought leader and problem solver who can blend business, technical, and industry best practices in developing the analyses, models, and algorithms that power our customers' digital experiences. You will have the opportunity to work with massive amounts of digital data (Web, Application, API) and modern tools in an industry-leading Big Data environment. This role offers the unique chance to build NLP-driven solutions from identifying business problems, to gathering training datasets, to analyzing data, to modeling, to validating, and to deploying NLP models that make a real difference.

Key Responsibilities

Your day-to-day responsibilities as a Manager – Data Science at arenaflex will include:

• Data Analysis and Processing: Work with large amounts of digital data (Web, Application, API) and modern tools in an industry-leading Big Data environment to extract meaningful insights.


• NLP Solutions Development: Build NLP-driven solutions from identifying business problems, to gathering training datasets, to analyzing data, to modeling, to validating, and to deploying NLP models.


• Machine Learning Model Building: Build everything from basic reports to advanced machine learning models and algorithms to drive improvements to our customer's online and mobile application experiences.


• Product Enhancement: Work with product owners to transform product and content design with a data-driven approach, ensuring optimal user experiences.


• Technical Collaboration: Collaborate with technology partners to test, implement, and deploy modeling solutions for production systems.


• Behavioral Insights: Form insights into customer behavior and introduce new strategies to transform complex behavioral data into actionable information.


• Decision Optimization: Leverage the power of closed-loop optimization through arenaflex's organization to make decisions smarter and more relevant.


• Innovation and Improvement: Continuously improve with a focus on developing newer and better approaches using big data and machine learning solutions.


• Model Development: Develop, deploy, and validate predictive models using industry-leading modeling and AI practices to predict customer behavior.


• Financial Logic Integration: Support the use of models in financial logic to enable efficient decisions across credit, fraud, marketing, and servicing optimization engines.

Essential Qualifications

To be successful in this role, you must possess the following qualifications:

• Educational Background: Master's/PhD degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Operations Research, or a related discipline.


• Technical Expertise: Hands-on experience using advanced analytical and machine learning techniques, with particular focus on deep learning and supporting algorithms.


• NLP Specialization: PhD degree with practical experiences in NLP is a significant plus.


• Programming Skills: Proficiency in analytical languages such as Python, R, or similar, and experience with databases such as Hive, SQL, or similar. Knowledge of SAS is a plus but not required.


• Machine Learning Knowledge: Deep understanding of machine learning/statistical algorithms including deep learning and supporting methodologies.


• Data Visualization: Experience with data visualization tools is a plus.


• Problem-Solving Abilities: Demonstrated ability to approach business problems and convert them into mathematical programming problems, leverage outside thinking and tools (from academia and/or other industries) to design solutions, and deliver business insights.


• Team Collaboration: Ability to work effectively in a team environment.


• Self-Motivation: Independent thinker who is organized, has great attention to detail, and can multitask effectively.


• Communication Skills: Strong interpersonal and communication skills to present complex findings to diverse stakeholders.


• Adaptability: Ability to learn quickly and work independently with complex, unstructured initiatives.


• Global Collaboration: Ability to coordinate with cross-functional colleagues worldwide.


• Presentation Tools: Proficient in presentation tools, including Excel and PowerPoint.

Preferred Qualifications

While the following are not mandatory, they would be advantageous:

• Experience in the financial services industry, particularly in credit risk or fraud detection.


• Published research or contributions to academic journals in machine learning, NLP, or related fields.


• Experience with cloud platforms and distributed computing frameworks.


• Knowledge of real-time streaming data processing and analytics.


• Experience with model deployment and monitoring in production environments.

Skills and Competencies Required

Success as a Manager – Data Science at arenaflex requires a unique blend of technical excellence and business acumen. You should demonstrate:

• Analytical Thinking: The ability to break down complex business problems and translate them into data-driven solutions.


• Technical Mastery: Strong foundation in statistical modeling, machine learning, and deep learning methodologies.


• Innovation Mindset: A creative approach to finding new solutions and improving existing processes.


• Business Acumen: Understanding of how analytical insights translate into business value.


• Leadership Potential: Ability to mentor junior team members and contribute to team success.


• Project Management: Skills to manage multiple projects simultaneously while meeting deadlines.


• Stakeholder Management: Ability to work effectively with cross-functional teams and communicate with non-technical stakeholders.

Career Growth and Learning Opportunities

At arenaflex, we are committed to your professional development and career growth. As part of our team, you will have access to:

• Industry-Leading Training: Comprehensive training programs designed to enhance your technical and leadership skills.


• Mentorship: Opportunities to learn from industry leaders who have defined the course of our industry.


• Career Advancement: Clear pathways for career progression within the organization.


• Continuous Learning: Access to ongoing education, certifications, and professional development resources.


• Global Exposure: The chance to work on global projects and collaborate with colleagues from around the world.


• Innovation Labs: Opportunities to work on cutting-edge projects and experiment with new technologies.

You can grow your career and define your own path at arenaflex. We support your journey every step of the way.

Work Environment and Culture

arenaflex is more than just a workplace – it's a community. As a brand built on exceeding all expectations to deliver the best customer experience, we pride ourselves on having the extraordinary partners who make it possible. As the essence of the organization, you will make positive connections with our customers every day, from planning an extraordinary travel or lifestyle experience to helping them with their everyday needs.

Our culture is built on:

• Inclusivity: We celebrate diversity and create an environment where everyone feels valued and respected.


• Collaboration: We believe in the power of teamwork and cross-functional collaboration.


• Innovation: We encourage creative thinking and new approaches to problem-solving.


• Integrity: We uphold the highest ethical standards in everything we do.


• Customer Focus: We are dedicated to delivering exceptional experiences to our customers.


• Work-Life Balance: We support our employees' well-being with flexible work arrangements and comprehensive wellness programs.

Compensation and Benefits

We recognize that our people are our greatest asset, and we offer competitive compensation and benefits to reflect that. The expected salary range for this position is $20-30 per hour, commensurate with experience and qualifications. In addition to competitive pay, arenaflex offers a comprehensive benefits package including:

• Health, dental, and vision insurance


• Retirement savings plans


• Paid time off and holidays


• Professional development opportunities


• Employee assistance programs


• Various perks and discounts

Work Details

• Employment Type: Full Time


• Work Hours: 8 Hours per day


• Location: New York, USA


• Work Model: This position may offer flexible work arrangements in accordance with arenaflex's policies.

Join Our Team

If you are passionate about data science, machine learning, and artificial intelligence, and you want to work with some of the most significant datasets in the world to identify insights and actions that can seriously impact customers and business, then arenaflex is the place for you.

This is your opportunity to be part of something extraordinary. Find your place in risk and analytics on #Teamarenaflex. We are looking for innovative thinkers who are ready to take on challenges, push boundaries, and make a real difference.

Apply now and take the first step toward an exciting career at arenaflex. We can't wait to see what you'll accomplish!