Experienced Full Stack Data Scientist – Data-Driven Decision Making and Business Growth at arenaflex

Job Summary:

Join arenaflex, a leading innovator in the tech industry, as a Full Stack Data Scientist. We are seeking a highly skilled and motivated individual to contribute to our team, utilizing econometrics to drive business growth and make data-driven decisions. As a key member of our team, you will work closely with experts in finance and information research to tackle complex business challenges and scale our data-driven solutions across the organization.

About arenaflex:

arenaflex is a forward-thinking organization that strives to be Earth's most customer-driven company, where individuals can find and discover anything they need to purchase online. We employ the world's most brilliant minds, offering them a fast-paced, innovative, and friendly work environment. Our Gadgets Buddy Item and Service team is dedicated to developing stages that delight customers by eliminating friction in providing, engaging, and managing the home and beyond.

Job Description:

The Gadgets Buddy Item and Service team supports over many gadget accessories and services, from Reverb Stands to Ignite Paperwhite Pointer to Fire TV maintenance agreements to the Amazon Smart Attachment. We are creating tools for both internal and external cross-functional partners to help their independent direction, which have a significant impact on Amazon gadget business. In this role, you will support various data science decision-making groups for gadget buddy item based on different variables, such as gadget cost, stock, traffic, affordability, expansion, and so on. You will use Science and Tools developed by the Gadgets Finance team, such as conjoint interest models, to deliver buddy item proposals. As a member of the partner-facing arm of the team, you will have associations with leaders to assist with improving end-client experience and enhancing Association System with more information and Science-driven. In equal, you will work with Applied Researchers, Financial experts, and Software Developers to provide significant feedback about partner issues to illuminate business decisions and increase the speed, quality, and extension behind our proposals. You will claim ventures to go with progress on Choice Science itself. Through this all, we will invest in your development to pursue your career objectives.

Key Responsibilities:

* Support data science decision-making groups for gadget buddy item based on different variables

• Use Science and Tools developed by the Gadgets Finance team to deliver buddy item proposals
• Collaborate with leaders to improve end-client experience and enhance Association System with more information and Science-driven
• Work with Applied Researchers, Financial experts, and Software Developers to provide significant feedback about partner issues
• Claim ventures to go with progress on Choice Science itself
• Develop and maintain data-driven solutions to drive business growth and make data-driven decisions

Essential Qualifications:

* 3+ years of experience as a data researcher

• 3+ years of experience with data querying languages (e.g., SQL), pre-processing languages (e.g., Python) or statistical/numerical programming (e.g., R, SAS, Matlab, etc.)
• 3+ years of experience with AI/measurable modeling data investigation tools and strategies, and boundaries that influence their performance
• Experience applying hypothetical models in an applied climate
• 3+ years of experience in a partner or client-facing expert or researcher job, and involvement in business organization

Preferred Qualifications:

* Experience in Python, Perl, or another pre-processing language

• Experience in a ML or data researcher job with a large technology organization
• Experience creating trial and scientific designs for data modeling processes, utilization of solid baselines, ability to determine circumstances and logical results relations precisely

What We Offer:

* Competitive salary and benefits package

• Opportunities for career growth and development
• Collaborative and dynamic work environment
• Access to cutting-edge technology and tools
• Recognition and rewards for outstanding performance
• Flexible work arrangements and remote work options

How to Apply:

If you are a motivated and experienced data scientist looking to join a dynamic team and contribute to business growth and data-driven decision making, please submit your application through our website. We look forward to hearing from you! Apply Now! Apply for this job