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Experienced Full Stack Data Analyst – Part Time Remote Position at arenaflex

Remote, USA Full-time Posted 2026-06-16

Job Summary:

Join arenaflex, a leading e-commerce company, as a Senior Data Science Analyst in our Hunt and Suggestions Examination group. As a key member of our team, you will work closely with a high-performing group of experts, AI engineers/data scientists, and product managers who are at the forefront of the product recommendation space. If you're passionate about data analysis, machine learning, and driving business outcomes, we want to hear from you!

About arenaflex:

arenaflex is a privately-held e-commerce company that is revolutionizing the way people shop online. With a vast array of products and a user-friendly interface, we strive to provide an exceptional customer experience. Our team is passionate about innovation, collaboration, and continuous learning, and we're committed to creating a work environment that is inclusive, diverse, and supportive.

Job Details:

*

Job Title:

Senior Data Science Analyst

Employment Type:

Part Time

Work Hours:

8 hours per week

Salary:

$24/hour

Locations:

Boston, USA (remote work available)

Qualifications:

Bachelor's degree in a related field (e.g., data science, computer science, mathematics)

Industry:

Private e-commerce

System Summary:

We're seeking a highly energetic and results-driven Senior Data Science Analyst to join our team. As a key member of our Hunt and Suggestions Examination group, you will be responsible for analyzing large datasets to inform our product recommendation strategy. You will work closely with a high-performing team of experts, AI engineers/data scientists, and product managers to drive business outcomes and improve customer satisfaction.

Key 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
  • Develop new tools that enable us to be more efficient and productive
  • Work closely and build effective relationships with our product, design, and AI partners
  • Communicate key insights and recommendations to cross-functional senior leaders across the organization

What You'll Need:

*

Investigation or Information Science experience:

A strong background in data analysis, machine learning, or a related field, with experience working with web-based businesses.

SQL skills:

Proficiency in SQL, including query optimization, stored procedures, and data modeling.

Python skills:

Experience with Python and popular data science libraries, including Jupyter Notebook, Pandas, Scikit-learn, and Matplotlib.

Trial planning and statistical analysis:

Experience with A/B testing and statistical analysis to drive business decisions.

AI and machine learning:

Familiarity with AI algorithms and methods, including decision trees, random forests, and deep learning.

Communication and collaboration:

Strong written and verbal communication skills, with a collaborative and proactive approach to working with partners.

Business acumen:

A solid understanding of business principles, scientific methods, and technical skills, with the ability to think critically and drive outcomes.

Benefits and Perks:

*

Competitive salary:

$24/hour

Flexible work arrangements:

Remote work available, with a flexible schedule to accommodate your needs.

Opportunities for growth:

arenaflex is committed to providing opportunities for professional growth and development, with a focus on continuous learning and skill-building.

Inclusive and diverse work environment:

arenaflex is dedicated to creating a work environment that is inclusive, diverse, and supportive, with a focus on equal opportunities for all employees.

How to Apply:

If you're passionate about data analysis, machine learning, and driving business outcomes, we want to hear from you! Please submit your application through our website, including your resume, cover letter, and any relevant work samples or projects.

Equal Opportunities:

arenaflex is committed to providing equal opportunities for all employees, including those with disabilities. We will make reasonable accommodations to ensure that all qualified candidates have an equal opportunity to participate in the application process.

Apply Now:

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