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!
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!