Experienced Lead Data Science Consultant – Customer Excellence Data and Analytics

At arenaflex, we're not just a company – we're a community of innovators, thinkers, and problem-solvers who are passionate about making a difference in the world. As a leader in the financial services industry, we're committed to empowering our employees to grow their careers and reach their full potential. With a focus on diversity, equity, and inclusion, we strive to create a workplace where everyone feels valued, respected, and supported. We're proud to be ranked #2 on the 2023 LinkedIn Top Companies list, and we're excited to offer a range of benefits and perks that make arenaflex an amazing place to work. From competitive salaries to a rich benefits package, we've got you covered. Our Total Rewards program is designed to support your overall well-being, including wellness, work-life balance, and financial health.

About this Role:

arenaflex is seeking an experienced Lead Data Science Consultant to join our Customer Excellence Data and Analytics (CEDA) organization. As a key member of our team, you'll be responsible for leading the full analytics development cycle, from data mining and analysis to building predictive models using NLP and Machine Learning techniques. You'll identify performance issues and opportunities, deliver meaningful insights, and build documentation of validation methods and results.

Key Responsibilities:

* Lead complex initiatives by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, including those that are cross-functional with broad impact.

• Build support for and deliver recommendations in complex and multi-faceted situations requiring an expertise in analytical thinking and strong technical skillset to resolve business issues.
• Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to drive recommendations and strategies based on data-driven, analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams or serve as a peer mentor.
• Execute complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains.
• Interpret and analyze data, using advanced analytics modeling methods and programming, to recommend ways to solve problems and influence business decisions and strategies.
• Provide consultation to peers on data science best practices, methods, and tools to leverage.
• Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels.

Essential Qualifications:

* 5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

* Fluency in SAS, Python, SQL (Teradata)

• Deep experience with Machine Learning (ML), Natural Language Processing (NLP)
• Large Language Model (LLM) experience preferred
• Extensive model development and model validation experience including end-to-end model build efforts from discovery to deployment
• Excellent communication skills and ability to articulate complex material to a diverse audience
• Adept at designing/performing model testing, including explainability, robustness, fairness testing, etc.
• Proficient in creating accompanying documentation in model development process

Job Expectations:

* Ability to travel up to 10% of the time

• This position is not eligible for Visa sponsorship
• Ability to work on site per arenaflex's standard operating model in one of the listed locations

Posting Locations:

* CHANDLER, AZ

• MINNEAPOLIS, MN
• WEST DES MOINES, IA
• CHARLOTTE, NC

We Value Diversity:

At arenaflex, we believe in diversity, equity, and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

Employee Expectations:

* Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company.

• They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable arenaflex policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions.

Career Growth Opportunities:

At arenaflex, we're committed to helping our employees grow their careers and reach their full potential. We offer a range of training and development programs, including:

• On-the-job training and mentorship
• Professional certifications and licenses
• Leadership development programs
• Networking opportunities with industry experts

Work Environment and Company Culture:

arenaflex is a dynamic and inclusive workplace that values diversity, equity, and inclusion. We're committed to creating a culture that's supportive, collaborative, and fun. Our employees enjoy a range of benefits and perks, including:

• Flexible work arrangements
• Wellness programs and resources
• Employee recognition and rewards
• Community involvement and volunteer opportunities

Compensation, Perks, and Benefits:

arenaflex offers a competitive salary and a rich benefits package that includes:

• Comprehensive health insurance
• Retirement savings plan
• Paid time off and holidays
• Employee assistance program
• Professional development opportunities

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 exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We can't wait to hear from you! Apply Job! For more such jobs please click here! Apply for this job