Senior Data Scientist – Omni-Channel Retail Analytics & Business Intelligence
Join arenaflex as a Senior Data Scientist
Are you ready to transform raw data into actionable business insights that drive strategic decision-making? At arenaflex, we are looking for a talented Senior Data Scientist to join our dynamic Product Frameworks and Examination team within the Consumer Products, Gaming, and Publishing (CPGP) division. This is your opportunity to work with one of the most iconic brands in the world, analyzing vast datasets and creating cutting-edge predictive models that shape the future of retail experiences across both brick-and-mortar and e-commerce platforms.
As a Senior Data Scientist at arenaflex, you will play a pivotal role in leading our analytics initiatives, mentoring the data science team, and collaborating with cross-functional partners to deliver insights that matter. You'll be at the forefront of innovation, leveraging advanced analytical techniques to uncover trends, optimize operations, and create memorable experiences for millions of customers worldwide.
What You'll Do
As a leader in our data science practice, you will be responsible for driving the analytical vision and strategy for our omni-channel retail operations. Your days will be filled with diverse challenges that require both technical excellence and business acumen.
Strategic Leadership
Set the strategic vision and direction for the data science team, with a focus on Omni-Channel analysis across physical retail locations and digital commerce platforms
Lead cross-functional teams, collaborating with Analysts, Technical Partners, and Business Leaders to establish improvement roadmaps based on business needs and market trends
Translate complex business requirements into precise technical specifications that guide development initiatives and ensure successful project delivery
Facilitate strategy alignment sessions, adapting approaches to evolving business drivers, challenges, and long-term organizational objectives
Technical Excellence
Design and implement efficient data pipelines that address complex business challenges, leveraging technical tools and retail systems architecture
Establish and enforce data science team best practices, including conducting comprehensive code reviews for team members to ensure quality and consistency
Utilize advanced analytics techniques including regression analysis, machine learning, clustering, and predictive modeling to drive actionable insights
Develop sophisticated algorithms and models that forecast trends, optimize inventory, and enhance customer experiences across all touchpoints
Communication & Visualization
Create compelling visuals, diagrams, and charts that resonate with data, tailoring presentations to diverse audiences from technical teams to executive leadership
Translate technical findings into clear, actionable business recommendations that influence strategic decisions at all levels of the organization
Present complex analytical results to stakeholders in a manner that drives understanding and encourages data-driven decision-making
Develop data-driven narratives that tell compelling stories about customer behavior, market trends, and business performance
What You Bring
We're seeking a candidate with a proven track record of delivering impactful analytical solutions in fast-paced, dynamic environments. The ideal candidate will combine deep technical expertise with strong business intuition and exceptional leadership capabilities.
Essential Qualifications
Education: Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field
Experience: 2+ years of experience developing Analysis, Statistical, or AI models to extract insights and solve business challenges, ideally in a retail, e-commerce, or consumer goods environment
Technical Skills: Demonstrated proficiency in web analytics and visitor segmentation using data to drive informed decisions and improve online experiences
Leadership: Experience leading small teams in rapid and accurate data analysis, feature definition, and innovative problem-solving for complex business challenges
Analytical Expertise: Strong ability to work on intricate problems and develop data-driven stories for decision-making
Cloud Platform Experience: Proficiency with cloud platforms and modern technology stacks for data processing and analysis
Machine Learning: Expertise in machine learning or artificial intelligence techniques for predictive analytics
Problem-Solving: Strong aptitude for troubleshooting and root cause analysis to identify and resolve data quality issues
Adaptability: Thrives in fast-moving, changing environments with the ability to pivot quickly as business needs evolve
Communication: Excellent interpersonal skills for effective team and individual interaction across all organizational levels
Preferred Qualifications
Experience with various project management methodologies (Waterfall, Agile, Scrum) and the ability to adapt approaches based on project requirements
Familiarity with retail analytics, point-of-sale data, and consumer behavior modeling
Knowledge of entertainment, media, or consumer products industries
Advanced degree (Master's or PhD) in a related quantitative field
Technical Proficiency Requirements
Our ideal candidate will demonstrate proficiency across multiple data technology domains:
Data Pipeline & ETL Tools
Experience with ETL tools such as SQL, SSIS, Knime, Alteryx, or Tableau Prep
Knowledge of data integration patterns and best practices for large-scale data processing
Database Platforms
Proficiency with Snowflake and SQL Server database platforms
Strong SQL querying skills for data extraction, transformation, and analysis
Programming Languages
Scripting languages including Snowscript, JavaScript, VBA, or Python
Statistical and Data Science languages such as R, SAS, or Python for Data Science
Ability to write efficient, maintainable code for data analysis and model development
Advanced Analytics Techniques
Experience with regression analysis, clustering, and statistical inference
Knowledge of hypothesis testing, p-values, and causal inference methodologies
Proficiency with ensemble methods including Random Forest, Bagging, and Boosting
Time series analysis and forecasting techniques
Why Join arenaflex
At arenaflex, we believe that great data scientists deserve more than just a job—they deserve a career where they can make an impact, grow their skills, and be part of something magical. Here's what makes joining us an exceptional opportunity:
Innovative Culture
Work at the intersection of data science and entertainment, where your analytical work directly influences how millions of people experience our products and services. You'll have the freedom to explore new methodologies, experiment with cutting-edge technologies, and push the boundaries of what's possible in retail analytics.
Professional Development
We invest in your growth through continuous learning opportunities, including access to training programs, conferences, and certifications. You'll work alongside industry experts who are passionate about sharing their knowledge and mentoring the next generation of data science leaders.
Collaborative Environment
Join a team that values collaboration over competition. You'll work across departments—from marketing to operations to product development—gaining a holistic understanding of how data drives business success across the entire organization.
Work-Life Balance
We understand that your best work happens when you're at your best. That's why we offer flexible work arrangements, generous time off, and a supportive environment that respects your need for balance.
Compensation & Benefits
We recognize that exceptional talent deserves exceptional rewards. The starting salary for this position is $26 per hour, with opportunities for growth based on experience and performance. Additionally, you'll have access to a comprehensive benefits package including:
Health, dental, and vision insurance
401(k) retirement plan with company matching
Paid time off and holidays
Employee discount programs and exclusive experiences
Wellness programs and resources
Relocation assistance for qualified candidates
Location
This position is based in Kissimmee, Florida, where you'll have the opportunity to work in one of our premier locations. While this role offers flexibility, we value the collaboration and connection that comes with in-person teamwork, and we welcome candidates who are excited to be part of our vibrant local community.
Ready to Make an Impact?
If you're passionate about data, driven by curiosity, and ready to apply your analytical skills to shape the future of retail, we want to hear from you. At arenaflex, you'll find more than a job—you'll find a place where your talents are celebrated, your voice is heard, and your contributions matter.
Join us on this exciting journey as we continue to create magical experiences for people around the world. Apply now and become part of a team that's transforming data into decisions and insights into impact.
arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Apply Now!
Are you ready to transform raw data into actionable business insights that drive strategic decision-making? At arenaflex, we are looking for a talented Senior Data Scientist to join our dynamic Product Frameworks and Examination team within the Consumer Products, Gaming, and Publishing (CPGP) division. This is your opportunity to work with one of the most iconic brands in the world, analyzing vast datasets and creating cutting-edge predictive models that shape the future of retail experiences across both brick-and-mortar and e-commerce platforms.
As a Senior Data Scientist at arenaflex, you will play a pivotal role in leading our analytics initiatives, mentoring the data science team, and collaborating with cross-functional partners to deliver insights that matter. You'll be at the forefront of innovation, leveraging advanced analytical techniques to uncover trends, optimize operations, and create memorable experiences for millions of customers worldwide.
What You'll Do
As a leader in our data science practice, you will be responsible for driving the analytical vision and strategy for our omni-channel retail operations. Your days will be filled with diverse challenges that require both technical excellence and business acumen.
Strategic Leadership
Set the strategic vision and direction for the data science team, with a focus on Omni-Channel analysis across physical retail locations and digital commerce platforms
Lead cross-functional teams, collaborating with Analysts, Technical Partners, and Business Leaders to establish improvement roadmaps based on business needs and market trends
Translate complex business requirements into precise technical specifications that guide development initiatives and ensure successful project delivery
Facilitate strategy alignment sessions, adapting approaches to evolving business drivers, challenges, and long-term organizational objectives
Technical Excellence
Design and implement efficient data pipelines that address complex business challenges, leveraging technical tools and retail systems architecture
Establish and enforce data science team best practices, including conducting comprehensive code reviews for team members to ensure quality and consistency
Utilize advanced analytics techniques including regression analysis, machine learning, clustering, and predictive modeling to drive actionable insights
Develop sophisticated algorithms and models that forecast trends, optimize inventory, and enhance customer experiences across all touchpoints
Communication & Visualization
Create compelling visuals, diagrams, and charts that resonate with data, tailoring presentations to diverse audiences from technical teams to executive leadership
Translate technical findings into clear, actionable business recommendations that influence strategic decisions at all levels of the organization
Present complex analytical results to stakeholders in a manner that drives understanding and encourages data-driven decision-making
Develop data-driven narratives that tell compelling stories about customer behavior, market trends, and business performance
What You Bring
We're seeking a candidate with a proven track record of delivering impactful analytical solutions in fast-paced, dynamic environments. The ideal candidate will combine deep technical expertise with strong business intuition and exceptional leadership capabilities.
Essential Qualifications
Education: Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field
Experience: 2+ years of experience developing Analysis, Statistical, or AI models to extract insights and solve business challenges, ideally in a retail, e-commerce, or consumer goods environment
Technical Skills: Demonstrated proficiency in web analytics and visitor segmentation using data to drive informed decisions and improve online experiences
Leadership: Experience leading small teams in rapid and accurate data analysis, feature definition, and innovative problem-solving for complex business challenges
Analytical Expertise: Strong ability to work on intricate problems and develop data-driven stories for decision-making
Cloud Platform Experience: Proficiency with cloud platforms and modern technology stacks for data processing and analysis
Machine Learning: Expertise in machine learning or artificial intelligence techniques for predictive analytics
Problem-Solving: Strong aptitude for troubleshooting and root cause analysis to identify and resolve data quality issues
Adaptability: Thrives in fast-moving, changing environments with the ability to pivot quickly as business needs evolve
Communication: Excellent interpersonal skills for effective team and individual interaction across all organizational levels
Preferred Qualifications
Experience with various project management methodologies (Waterfall, Agile, Scrum) and the ability to adapt approaches based on project requirements
Familiarity with retail analytics, point-of-sale data, and consumer behavior modeling
Knowledge of entertainment, media, or consumer products industries
Advanced degree (Master's or PhD) in a related quantitative field
Technical Proficiency Requirements
Our ideal candidate will demonstrate proficiency across multiple data technology domains:
Data Pipeline & ETL Tools
Experience with ETL tools such as SQL, SSIS, Knime, Alteryx, or Tableau Prep
Knowledge of data integration patterns and best practices for large-scale data processing
Database Platforms
Proficiency with Snowflake and SQL Server database platforms
Strong SQL querying skills for data extraction, transformation, and analysis
Programming Languages
Scripting languages including Snowscript, JavaScript, VBA, or Python
Statistical and Data Science languages such as R, SAS, or Python for Data Science
Ability to write efficient, maintainable code for data analysis and model development
Advanced Analytics Techniques
Experience with regression analysis, clustering, and statistical inference
Knowledge of hypothesis testing, p-values, and causal inference methodologies
Proficiency with ensemble methods including Random Forest, Bagging, and Boosting
Time series analysis and forecasting techniques
Why Join arenaflex
At arenaflex, we believe that great data scientists deserve more than just a job—they deserve a career where they can make an impact, grow their skills, and be part of something magical. Here's what makes joining us an exceptional opportunity:
Innovative Culture
Work at the intersection of data science and entertainment, where your analytical work directly influences how millions of people experience our products and services. You'll have the freedom to explore new methodologies, experiment with cutting-edge technologies, and push the boundaries of what's possible in retail analytics.
Professional Development
We invest in your growth through continuous learning opportunities, including access to training programs, conferences, and certifications. You'll work alongside industry experts who are passionate about sharing their knowledge and mentoring the next generation of data science leaders.
Collaborative Environment
Join a team that values collaboration over competition. You'll work across departments—from marketing to operations to product development—gaining a holistic understanding of how data drives business success across the entire organization.
Work-Life Balance
We understand that your best work happens when you're at your best. That's why we offer flexible work arrangements, generous time off, and a supportive environment that respects your need for balance.
Compensation & Benefits
We recognize that exceptional talent deserves exceptional rewards. The starting salary for this position is $26 per hour, with opportunities for growth based on experience and performance. Additionally, you'll have access to a comprehensive benefits package including:
Health, dental, and vision insurance
401(k) retirement plan with company matching
Paid time off and holidays
Employee discount programs and exclusive experiences
Wellness programs and resources
Relocation assistance for qualified candidates
Location
This position is based in Kissimmee, Florida, where you'll have the opportunity to work in one of our premier locations. While this role offers flexibility, we value the collaboration and connection that comes with in-person teamwork, and we welcome candidates who are excited to be part of our vibrant local community.
Ready to Make an Impact?
If you're passionate about data, driven by curiosity, and ready to apply your analytical skills to shape the future of retail, we want to hear from you. At arenaflex, you'll find more than a job—you'll find a place where your talents are celebrated, your voice is heard, and your contributions matter.
Join us on this exciting journey as we continue to create magical experiences for people around the world. Apply now and become part of a team that's transforming data into decisions and insights into impact.
arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Apply Now!