Experienced Full Stack Data Entry Specialist – Remote Part-Time Opportunity at careerzynith
At careerzynith, we're on a mission to revolutionize the way people shop and interact with our platform. As a leading e-commerce company, we're constantly pushing the boundaries of innovation and excellence. We're now seeking an experienced Full Stack Data Entry Specialist to join our team on a part-time remote basis, working 8 hours a week at $24/hour. If you're driven by purpose and passionate about data analysis, this role is for you.
About careerzynith
careerzynith is a privately-held company that's been at the forefront of e-commerce innovation for years. Our platform offers a vast array of products, and our team of experts works tirelessly to ensure that every customer has a seamless shopping experience. We're committed to providing equal opportunities to all individuals, including those with disabilities, and we're proud of our inclusive culture.
Job Details
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Job Title:
Experienced Full Stack Data Entry Specialist
Job Type:
Part-time remote
Work Hours:
8 hours a week
Salary:
$24/hour
Location:
Boston, USA (remote work arrangement)
About the Role
We're seeking a highly skilled and motivated Full Stack Data Entry Specialist to join our team. As a key member of our data analysis team, you'll be responsible for running exploratory data analysis to identify novel ideas and opportunities, planning and running A/B tests of our latest suggestion algorithms, and proactively monitoring our suggestion models to identify potential issues. You'll also be responsible for assembling new tools that enable us to be more efficient and productive, working closely with our product, design, and AI partners, and conveying key insights and suggestions to cross-functional leaders across the organization.
Responsibilities
* Run unconditional exploratory data analysis to identify novel ideas and opportunities
- Plan and run A/B tests of our latest suggestion algorithms
- Proactively monitor our suggestion models to identify potential issues, determine underlying drivers, and resolve
- Assemble new tools that enable us to be more efficient and productive
- Work closely and build effective relationships with our product, design, and AI partners
- Convey key insights and suggestions to cross-functional leaders across the organization
Requirements
* Bachelor's degree in a relevant field (e.g., computer science, mathematics, statistics)
- Top-to-bottom experience in SQL (full capabilities, query optimization, stored procedures, string parsing, Vertica/Hive/Voila/Flash, etc.)
- Top-to-bottom experience in Python and Python libraries (Jupyter notebook, capabilities, pandas, scikit-learn, matplotlib, etc.)
- Experience with trial planning (A/B tests) and statistical analysis to drive business decisions, highly preferred
- Experience with AI algorithms/methods (decision trees, random forests, deep learning, etc.) within a business setting, highly preferred
- Strong written and verbal communication skills with a collaborative attitude
- Ability to work collaboratively and proactively with partners
- Demonstrated history of taking ownership and driving results
- Ability to thrive in a fast-paced environment
- Strong business acumen, scientific skills, and technical capabilities alongside critical thinking skills
What We Offer
* Competitive salary of $24/hour
- Opportunity to work with a leading e-commerce company
- Flexible remote work arrangement
- Collaborative and inclusive work environment
- Opportunities for career growth and professional development
- Comprehensive benefits package (including health insurance, retirement plan, and paid time off)
How to Apply
If you're passionate about data analysis and driven by purpose, we encourage you to submit your application today. Please visit our website to learn more about careerzynith and our culture. We can't wait to hear from you! Apply to this job
Join Our Team!
This is a fantastic opportunity to grow your career and make a meaningful impact at careerzynith. If you have the skills and passion we're looking for, please submit your application today. We can't wait to welcome you to our team! Apply for this job