Staff Data Scientist – Customer Insights & Advanced Analytics (Remote) at arenaflex

Join arenaflex as a Staff Data Scientist

Are you ready to harness the power of data to shape the future of retail? Do you thrive on solving complex problems using cutting-edge machine learning techniques? Do you want to be part of a team that's transforming how a Fortune 500 company understands and serves its customers? If so, we have an incredible opportunity for you to join arenaflex as a Staff Data Scientist.

At arenaflex, we believe that data is the backbone of innovation. With the sheer scale of our operations comes one of the largest and most rich datasets in the world, offering unparalleled opportunities for data scientists to make a real impact. As a Staff Data Scientist on our Customer Data Science team, you'll work as the technical lead for all data science initiatives, driving solutions that affect hundreds of millions of customers worldwide.

This is a remote position that offers the flexibility to work from anywhere in the United States while collaborating with talented professionals across the organization. You'll have the chance to mentor junior team members, implement best practices, and contribute to projects that are both short-term and long-term in nature, depending on business needs.

About the Team: Data Ventures

Data Ventures is like a nimble startup incubated within arenaflex, building the best-in-class suite of Data Products to deliver actionable, customer-centric insights. Our team works closely with US stores and the eCommerce business to better serve customers through technological innovation. From groceries and entertainment to sporting goods and crafts, arenaflex U.S. offers an extensive selection that our customers value, whether they shop online at arenaflex.com, through one of our mobile apps, or in-store.

Our focus areas include customers, stores and employees, in-store providers, merchant tools, merchant data science, and search and personalization. We empower team members, stores, and merchants with technological innovation to make better business decisions on omnichannel 360 performance.

What You'll Do

Data Source Identification

• Understand the involved order of requirements and service level agreements


• Define and identify the most appropriate sources for required data that is fit for purpose, regarding external sources as required


• Perform preliminary data quality checks on the extracted information


• Review the deliverables of junior peers and provide guidance

Problem Formulation

• Analyze business problems within one's field and question assumptions to help the business in perceiving the root cause


• Identify and recommend methods to solve the business's problems


• Set data analytics, big data analytics, automation goals, and deliverables based on the setup success criteria and outline key metrics to measure progress and effectiveness of the solution


• Quantify business impact

Analytical Modeling

• Select appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets


• Select and develop variables and functions iteratively based on model responses in collaboration with the business


• Conduct exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on to-be-known data


• Identify dimensions and designs of experiments and create test and research frameworks


• Interpret data to identify trends to go across future data sets


• Create continuous, online versions learning including iterative model improvements


• Develop newer techniques (for example, advanced machine learning algorithms, automotive ML) through leveraging the latest trends in machine learning, artificial intelligence to train algorithms to use models to new data sets


• Guide the team on feature engineering, experimentation, and advanced modeling techniques for use for complex problems with unstructured and multiple data sets (for example, streaming data, raw text data)

Model Deployment & Scaling

• Work with MLOps to push ML models to production


• Continuously log and track model behavior once it's deployed against the defined metrics


• Identify model parameters which may need changes depending on scale of deployment

Code Development & Testing

• Write code to develop the required solution and application capabilities by identifying the right programming language and leveraging business, technical, and data requirements


• Create test cases to study and validate the proposed solution design


• Create proofs of concept


• Test the code using the appropriate testing method


• Contribute code documentation, maintain playbooks, and provide timely development updates

Applied Business Acumen

• Evaluate proposed business cases for projects and initiatives


• Influence business stakeholder decision making


• Translate business requirements into strategies, projects, and initiatives and align them to business strategy and goals and drive the execution of deliverables


• Build and articulate the business case and return on investment and grant work that has demonstrable value


• Challenge business assumptions on topics related to one's area of expertise


• Develop new organization-wide approaches and approaches to working


• Teach and guide others on best practices


• Proactively engage inside the outside network to build arenaflex's brand and learn more about industry practices

Model Assessment & Validation

• Identify and review model assessment metrics based on analytical requirements


• Apply appropriate techniques for model testing and tuning, to assess accuracy, fit, validity, and robustness


• Ensure testing data is documented and maintained through the team

Data Visualization and Storytelling

• Identify and recommend the most appropriate visualization tools based on context


• Generate appropriate graphical representations of data and model results


• Understand customer requirements to design suitable data representation for complex data sets and drive User Experience designers and User Interface engineers to build front-end applications


• Define application design based on customer requirements


• Build compelling stories based on context to integrate multiple pieces of information into cohesive insights


• Present to and influence various audiences using the right frameworks and convey clear messages through deep business and stakeholder knowledge


• Customize communication style based on stakeholders and leverage relationships to drive behavioral change


• Guide and mentor junior peers on story types, structures, and strategies based on context

What You'll Bring

Essential Qualifications

• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field


• Four years of experience in an analytics-related field


• Deep knowledge and understanding of machine learning, statistics, and data science in general


• Strong programming skill in at least one of Python/R


• Ability to execute projects end-to-end including with junior peers


• Implement best practices in ML Ops, coding standards, etc.


• Clearly communicate with business, product, and application partners


• Ability to translate complex algorithm evaluations in simple language


• Ability to present to management along with outside clientele

Preferred Qualifications

• Advanced degree in a related field


• Experience with large-scale distributed computing systems


• Knowledge of cloud platforms (AWS, Azure, GCP)


• Experience with real-time streaming data processing


• Strong background in retail or e-commerce analytics

Skills and Competencies Required for Success

To excel in this role, you'll need a unique blend of technical expertise and business acumen. The ideal candidate will demonstrate:

• Technical Mastery: Deep expertise in machine learning algorithms, statistical modeling, and data visualization techniques. You should be comfortable working with large-scale datasets and have experience with modern ML frameworks.


• Problem-Solving Abilities: A natural curiosity that drives you to question assumptions and dig deep into business problems to find root causes and innovative solutions.


• Communication Skills: The ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders. You should be comfortable presenting to executive leadership and influencing decision-making.


• Leadership Mindset: Experience mentoring junior team members and driving best practices across the organization.


• Business Acumen: A strong understanding of how data science initiatives tie to business outcomes and the ability to quantify the impact of your work.

Career Growth Opportunities and Learning Benefits

At arenaflex, we're committed to helping our employees grow and develop in their careers. As a Staff Data Scientist, you'll have access to:

• Technical Leadership Opportunities: Take on increasingly complex projects and lead cross-functional initiatives that have enterprise-wide impact.


• Mentorship and Development: Mentor junior data scientists and help shape the future of our data science community.


• Continuous Learning: Access to cutting-edge tools, technologies, and training programs. We invest in keeping our team at the forefront of AI and machine learning advancements.


• Career Advancement: Clear pathways to senior technical roles, principal data scientist positions, and management opportunities depending on your career goals.


• Industry Exposure: Work on some of the most challenging data problems in retail and e-commerce, gaining experience that spans multiple domains.

Work Environment and Company Culture

arenaflex is more than just a company – we're a community of innovators, problem-solvers, and dreamers. Our culture is built on these core principles:

• Innovation First: We encourage experimentation and value learning from both successes and failures.


• Collaboration: We believe the best solutions come from diverse perspectives working together.


• Customer Obsession: Everything we do is focused on making life better for our customers.


• Integrity: We do the right thing, even when no one is watching.


• Respect for Everyone: We treat each other with dignity and value diverse viewpoints.

As a remote employee, you'll enjoy the flexibility to work from your home office while staying connected through virtual collaboration tools. We believe in results-oriented work and trust our team members to manage their time effectively.

Compensation, Perks, and Benefits

We believe in rewarding our associates for the value they bring to arenaflex. Our comprehensive benefits package includes:

• Competitive Salary: $30-40 per hour (commensurate with experience)


• Health and Wellness: Multiple health plan options, including vision and dental plans for you and your dependents


• Financial Security: 401(k) with company match, stock purchase plans, life insurance, and more


• Associate Discounts: Enjoy discounts on in-store and online purchases


• Education Support: Tuition assistance and education programs for associates and their dependents


• Paid Time Off: Generous vacation, sick leave, and personal time off


• Parental Leave: Paid leave during military service and parental leave


• Disability Coverage: Short-term and long-term disability coverage for when you cannot work due to injury, illness, or childbirth

About arenaflex

At arenaflex, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability and everything in between. As an arenaflex associate, you'll play a vital role in shaping the future of retail, tech, merchandising, finance, and countless other industries – all while affecting the lives of millions of customers around the world.

We're committed to creating an inclusive workplace where everyone belongs. We celebrate diversity and are proud to be an equal opportunity employer.

Apply Today

If you're ready to make an impact, solve complex problems, and grow your career with a company that values innovation and its people, we encourage you to apply for this exciting opportunity. Join us at arenaflex and be part of a team that's transforming the future of retail through the power of data science.

Don't miss this chance to take your data science career to the next level. Apply now and become part of something extraordinary at arenaflex!