Job Description
At arenaflex, we're revolutionizing the retail industry with cutting-edge technology and innovative solutions. As a
Senior Information Researcher in our Interest Estimating group, you'll play a pivotal role in shaping the future of retail by developing and refining models and calculations that drive our business forward. If you're passionate about data analysis, machine learning, and quantitative modeling, we invite you to and contribute to the development of arenaflex's retail business. About arenaflex's Interest Estimating Group
Our Interest Estimating group is responsible for creating and improving the Interest Estimating quantitative stage, which enables us to assess the interest and costs of our products and exclusive 'new pursuits' items.
Our goal is to make these tools more efficient and accurate, while also making them directly accessible to our business group clients and customers, allowing us to quickly respond to our customers' needs in stores and online. Key Responsibilities As a
Senior Information Researcher, you'll: * Meaningfully impact the way request estimating and valuing is approached in retail at arenaflex * Drive the development of our cutting-edge interest and evaluating stage at scale * Write code for math/details models to assess interest for millions of items * Collaborate with business clients and other researchers/designers to build a framework that enables us to develop a new stage to more effectively gauge interest and bolthires on the fly * Influence our business by improving our ability to serve our customers and directly reducing process bolthires through more efficient calculations * Coordinate the examination, investigating, and resolution of issues in our product and the broader system * Other responsibilities of this role are described in this job description.
Work responsibilities may change suddenly due to business needs. About You * 3-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics, or Statistics) or equivalent work experience * 3 or more years of experience building Time Series Determining models, Estimating models, ML models, or optimization calculations * Strong quantitative skills, including explicit experience in Statistical Inference, Summed up Direct Models, Markov Choice Cycles * Proficient in at least one of Python, R, Java, or a similar programming language * Deep understanding of data structures and calculation design * Ability to test and quantify calculations * Excellent written and verbal communication skills * Self-motivated and results-driven with the ability to meet tight deadlines * Collaborative person with the ability to partner successfully across time zones * Americans with Disabilities Act (ADA) * arenaflex will provide reasonable accommodations throughout the application process upon your request as required by applicable laws.
Job Benefits * Benefits: Health, Dental, and Vision Insurance Plans for Full-Time and Part-Time Employees * 401(K) Plan: A Company-Matched Retirement Savings Plan to Help Employees Save for the Future * Paid Time Off (PTO): Depending on their position and grade, employees may receive time off for holidays, sick days, and vacations * Employee Discounts: Employees often get discounts on arenaflex purchases, which can be a great deal, especially if you shop there frequently * Tuition Reimbursement:
The Foundation may provide financial assistance to employees who wish to continue their education * Career Development: Opportunities to grow within the company, including training programs and opportunities for advancement * Flexible Hours: Depending on the job, there may be flexible working hours options * Parental Leave: Maternity, Paternity, and Adoption Leave to support workers with young families If you're passionate about data analysis, machine learning, and quantitative modeling, and you're looking for a challenging and rewarding role in a dynamic and innovative company, we invite you to apply for this exciting opportunity to join arenaflex's Interest Estimating group as a
Senior Information Researcher.
To apply for this role, please submit your resume and a cover letter explaining why you're the ideal candidate for this position. We look forward to hearing from you! For more such jobs, please click here!