Join arenaflex: Where Data Transforms Customer Excellence
Step into a career where your analytical prowess shapes the future of customer experience in one of the world's most respected financial institutions. At arenaflex, we believe that data is more than numbers—it's the key to understanding our customers, anticipating their needs, and delivering exceptional service that sets us apart in the financial services industry.
We are proud to be recognized as a leader in workplace excellence, consistently ranking among the top companies where talent thrives and grows. Our commitment to innovation, diversity, and employee well-being creates an environment where you can do your best work while building a rewarding career. If you're passionate about leveraging data science to drive meaningful business outcomes, we invite you to explore this exciting opportunity.
About the Role
arenaflex is seeking a highly skilled and experienced Lead Data Science Consultant to join our Customer Excellence Data and Analytics (CEDA) organization. This is a pivotal role where you will own the full analytics development cycle—from mining and analyzing complex datasets to building sophisticated predictive models using Natural Language Processing (NLP) and Machine Learning (ML) techniques.
In this position, you will be responsible for identifying performance issues and uncovering opportunities that drive customer satisfaction and business growth. Your work will directly impact how we understand, engage, and serve our customers across all touchpoints. You'll transform raw data into actionable insights and build comprehensive documentation of validation methods and results that stakeholders across the organization can trust and act upon.
What You'll Do
As a Lead Data Science Consultant at arenaflex, you will play a strategic role in driving data-informed decision-making across the organization. Your responsibilities will include:
- Lead Complex Analytics Initiatives: Design and execute data-driven projects utilizing advanced analytical, statistical techniques, algorithms, and models to uncover actionable insights, trends, and recommendations that have cross-functional impact across multiple business units.
- Build Strategic Recommendations: Develop and deliver recommendations in complex, multi-faceted situations requiring deep analytical expertise and strong technical capabilities to resolve sophisticated business challenges.
- Collaborate Across Functions: Strategically partner and consult with peers, colleagues, and leadership to drive recommendations and strategies based on data-driven insights, trends, and patterns that resolve issues and achieve organizational goals.
- Innovative Problem Solving: Execute complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains including customer behavior, risk assessment, and service optimization.
- Advanced Data Interpretation: Interpret and analyze data using advanced analytics modeling methods and programming to recommend ways to solve problems and influence business decisions and strategies.
- Knowledge Sharing: Provide consultation to peers on data science best practices, methods, and tools to leverage, serving as a subject matter expert and thought leader in the analytics community.
- Communicate Insights Effectively: Translate complex analytical findings into digestible formats for non-technical audiences at varying levels of the organization, ensuring stakeholders can understand and act on insights.
Required Qualifications
To succeed in this role, you'll need to bring a robust combination of experience, education, and technical expertise:
- Experience: Minimum of 5+ years of data science experience, or equivalent demonstrated through a combination of work experience, training, military experience, or education.
- Education: Master's degree or higher in a quantitative discipline such as Mathematics, Statistics, Engineering, Physics, Economics, Computer Science, or a related field.
Desired Qualifications
While not required, the following qualifications will help you stand out and excel in this role:
- Technical Proficiency: Fluency in SAS, Python, and SQL (specifically Teradata) for data manipulation, analysis, and model development.
- Advanced Analytics Skills: Deep experience with Machine Learning (ML) and Natural Language Processing (NLP) techniques to solve complex business problems.
- Emerging Technology: Experience with Large Language Models (LLMs) and their application in business contexts is highly preferred.
- Model Development Expertise: Extensive experience in model development and model validation, including end-to-end model building efforts from discovery through deployment.
- Communication Excellence: Excellent verbal and written communication skills with the ability to articulate complex technical concepts to diverse audiences.
- Model Testing Proficiency: Adept at designing and performing comprehensive model testing, including explainability analysis, robustness testing, and fairness testing to ensure model reliability and ethical use.
- Documentation Skills: Proficient in creating detailed, high-quality documentation throughout the model development process.
Skills & Competencies for Success
At arenaflex, we value technical excellence paired with business acumen. The ideal candidate will demonstrate:
- Strong problem-solving skills with the ability to approach ambiguous business challenges with creative analytical solutions.
- Deep understanding of statistical modeling, machine learning algorithms, and data visualization techniques.
- Proficiency in programming languages and tools commonly used in data science environments.
- Ability to work independently and collaboratively in a fast-paced, dynamic environment.
- Strong project management skills with the ability to handle multiple complex projects simultaneously.
- A customer-focused mindset that prioritizes delivering value to internal and external stakeholders.
- Commitment to continuous learning and staying current with emerging trends in data science and analytics.
Career Growth & Learning Opportunities
At arenaflex, your career development is our priority. As a Lead Data Science Consultant, you'll have access to:
- Professional Development: Extensive training programs, certifications, and conferences to enhance your technical and leadership skills.
- Career Advancement: Clear progression pathways to senior leadership roles within the analytics organization and broader company.
- Mentorship: Opportunities to mentor junior data scientists and contribute to the growth of the analytics community.
- Cross-Functional Exposure: Collaboration with teams across the organization, providing broad business knowledge and career flexibility.
- Cutting-Edge Projects: Access to innovative initiatives involving emerging technologies like AI, ML, and LLM applications.
Work Environment & Culture
arenaflex fosters a culture of innovation, inclusion, and excellence. When you join our team, you become part of an organization that:
- Values diversity, equity, and inclusion, creating a welcoming environment for all employees.
- Promotes work-life balance with flexible arrangements and comprehensive wellness programs.
- Encourages collaboration and knowledge sharing across teams and departments.
- Maintains a risk-aware culture while empowering employees to innovate and take ownership.
- Provides state-of-the-art tools and technology to support your analytical work.
Compensation & Benefits
arenaflex offers competitive salaries and one of the most comprehensive benefits packages in the industry. Our Total Rewards program is designed to support your holistic well-being:
- Competitive Pay: Industry-leading salary with annual performance-based bonuses.
- Health & Wellness: Comprehensive medical, dental, and vision coverage, plus wellness programs and resources.
- Financial Security: 401(k) matching, pension plans, and financial planning resources.
- Time Off: Generous paid time off, holidays, and parental leave.
- Professional Support: Tuition reimbursement, student loan assistance, and professional development opportunities.
- Employee Perks: Discounts on financial products, fitness memberships, and more.
Location & Travel
This position requires the ability to travel up to 10% of the time. You will be based in one of our key locations: Chandler, AZ; Minneapolis, MN; West Des Moines, IA; or Charlotte, NC. Our standard operating model requires on-site presence, and candidates must be willing to relocate to one of these locations.
Please note: This position is not eligible for Visa sponsorship, and remote work arrangements are not available for this role.
Why arenaflex?
At arenaflex, we believe our people are our greatest asset. We invest in our employees' career aspirations and growth, providing the resources, support, and opportunities you need to advance. Our commitment to diversity, equity, and inclusion ensures that every voice is heard and valued.
We are proud of our employee-centered business approach and our commitment to creating a workplace where everyone can thrive. When our customers invest with us, we invest in them—and in you.
Apply Today
If you're ready to take the next step in your data science career and make a meaningful impact, we encourage you to apply. Join arenaflex and become part of a team that values innovation, integrity, and excellence in everything we do.
arenaflex is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. We are also committed to providing reasonable accommodations for qualified individuals with disabilities during the application and interview process.
Take this opportunity to grow your career with a leader in financial services. Your journey to excellence starts here.