Senior Data Scientist – AI/ML, GenAI Solutions & Predictive Analytics (Remote/Hybrid)
About arenaflex
Welcome to arenaflex, where innovation meets opportunity! As a leading retailer with a commitment to transforming the shopping experience through cutting-edge technology, we pride ourselves on leveraging the power of data to drive meaningful decisions. At arenaflex, we believe that data is the backbone of modern retail, and our Data Sciences team is at the forefront of creating intelligent solutions that impact millions of customers every day. Join us and become part of a dynamic environment where your analytical skills can shape the future of retail technology.
Our Information Sciences division is dedicated to building advanced predictive algorithms that utilize data at scale to automate and streamline decisions across the enterprise. Whether you join our Statistics, Optimization, or AI teams, you will be challenged to harness arenaflex's extensive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Development, Search, and Personalization rely on daily. This is your opportunity to work with massive datasets and create real-world impact through innovative data science approaches.
Position Overview
We are currently seeking a talented and motivated Senior Data Scientist to join our growing Data Sciences team. In this role, you will be responsible for initiating and helping launch GenAI features, developing unified GenAI tools and services, and building organizational capabilities around Generative AI. This is an exciting opportunity for someone passionate about artificial intelligence and machine learning to make their mark in the retail industry.
As a Senior Data Scientist at arenaflex, you will work closely with a team of product designers and engineers to ensure optimal scaling and adoption of GenAI features. Your responsibilities will include designing and developing at-scale GenAI infrastructure architectures, prompt engine development, determining optimal model selection strategies, and creating continuous monitoring and evaluation tools. This position offers the chance to work on the bleeding edge of AI technology while solving real business challenges.
Key Responsibilities
GenAI Development: Initiate and help launch Generative AI features, working with cross-functional teams to bring innovative AI solutions to market
Infrastructure Design: Design and develop scalable GenAI infrastructure architectures that can handle enterprise-level workloads
Prompt Engineering: Develop and optimize prompt engines for various GenAI applications
Model Selection: Determine optimal model selection strategies based on business requirements and technical constraints
Monitoring & Evaluation: Create continuous monitoring and evaluation tools to ensure AI system performance and quality
Tool Development: Develop unified tools and services to evaluate and control GenAI model output quality across the enterprise
Research & Innovation: Stay current with emerging trends in the AI/ML industry and leverage expertise in building AI/deep learning solutions
Model Customization: Fine-tune pre-trained GenAI models when required to meet specific business needs
Code Quality: Follow Agile principles, adhere to best-practice programming design, participate in code reviews, and maintain a well-tested codebase with comprehensive documentation
Knowledge Sharing: Lead training sessions, present work to technical and non-technical peers, and build knowledge of business needs and key objectives
Collaboration: Collaborate effectively across geographies with team members and stakeholders
Required Qualifications
Educational Background: Bachelor's degree in quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience. A Master's or PhD in a quantitative field is preferred
Experience: Minimum 3 years of professional experience or equivalent industry experience in data science or related field
Technical Skills: Strong hands-on programming skills in Python, with knowledge of SQL, Hadoop/Hive, Spark, and/or Scala
ML/AI Expertise: Experience designing and developing deep learning, machine learning, optimization, and statistical models
Mathematical Knowledge: Strong working knowledge of mathematical and statistical concepts, algorithms, and computational complexity
Analytical Thinking: Excellent analytical thinking abilities with a passion for solving complex problems
Problem Solving: Strong problem-solving skills with the ability to develop innovative and creative solutions to real business challenges using data science approaches
Communication: Ability to create reports and stories presenting meaningful insights with excellent communication skills
Storytelling: Strong ability to tell data-driven stories through appropriate visualizations, charts, and narratives
Self-Motivation: Self-motivated and results-oriented with the ability to meet tight deadlines
Teamwork: Strong collaborative spirit with the ability to work effectively across geographies and with diverse teams
Preferred Qualifications
Advanced degree (MS or PhD) in a quantitative field
Experience developing GenAI-based systems
Demonstrated expertise in applied machine learning and deep learning techniques
Experience with large-scale data processing and distributed computing
Knowledge of cloud platforms and their AI/ML services
Experience with MLOps practices and model deployment
Skills & Competencies
To succeed in this role, you will need a combination of technical expertise and soft skills:
Programming Proficiency: Advanced Python programming skills with experience in ML frameworks such as TensorFlow, PyTorch, or similar
Data Engineering: Strong understanding of data pipelines, ETL processes, and data warehousing
Statistical Analysis: Deep knowledge of statistical methods, hypothesis testing, and experimental design
Machine Learning: Expertise in supervised and unsupervised learning, natural language processing, and computer vision
GenAI Knowledge: Understanding of large language models, prompt engineering, and generative AI architectures
Communication: Ability to translate complex technical concepts into business-friendly language
Adaptability: Ability to quickly learn new technologies and adapt to evolving business requirements
Innovation: Creative mindset with the ability to propose new approaches and solutions
Career Growth & Learning Opportunities
At arenaflex, we invest in your professional development and career growth. As a Senior Data Scientist, you will have access to:
Continuous Learning: Opportunities to stay updated with the latest developments in AI, ML, and GenAI through conferences, workshops, and training programs
Career Advancement: Clear pathways for career progression into lead roles, principal scientist positions, or management tracks
Cross-Functional Exposure: Experience working with various business units including Marketing, Supply Chain, Search, and Personalization
Innovation Labs: Access to internal innovation labs and the freedom to explore new ideas and technologies
Mentorship: Both receive mentorship from senior leaders and mentor junior team members
Technical Challenges: Tackle complex business problems at scale with access to vast amounts of retail data
Work Environment & Culture
arenaflex offers a collaborative and inclusive work environment that values diversity, innovation, and work-life balance. Our team culture emphasizes:
Team Collaboration: Work alongside talented professionals in an environment that encourages knowledge sharing and mutual support
Innovation Focus: We embrace experimentation and view failures as learning opportunities
Inclusive Culture: We celebrate differences and believe diverse perspectives drive better solutions
Flexible Work: Remote and hybrid work options available to support your work-life balance
Modern Tools: Access to state-of-the-art tools, technologies, and computing resources
Wellbeing: Comprehensive wellness programs and employee assistance resources
Compensation & Benefits
arenaflex offers a competitive compensation package that recognizes your skills and experience:
Salary: $32 per hour ($66,560 annually based on 40-hour work week)
Health & Wellness: Comprehensive health, dental, and vision insurance plans
Retirement Plans: 401(k) retirement plan with company match
Paid Time Off: Generous paid time off including vacation, sick leave, and holidays
Professional Development: Annual learning and development budget
Employee Discount: Exclusive employee discount on arenaflex products and services
Parental Leave: Paid parental leave for new parents
Life Insurance: Company-provided life insurance and disability coverage
Equal Opportunity Employer
arenaflex is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. We value diversity and do not discriminate based on race, color, religion, national origin, sex, age, disability, genetic information, sexual orientation, gender identity, or any other protected characteristic.
In accordance with the Americans with Disabilities Act (ADA), arenaflex will provide reasonable accommodations with the application process upon request as needed to comply with applicable laws.
Join Our Team
If you are passionate about data science, artificial intelligence, and making a real impact in the retail industry, we want to hear from you! At arenaflex, you will have the opportunity to work on challenging problems, innovate with cutting-edge technology, and grow your career alongside talented professionals.
Apply now to join our Data Sciences team and help shape the future of retail through the power of AI and machine learning. Take the next step in your career with arenaflex – where your data skills can drive meaningful change!
Welcome to arenaflex, where innovation meets opportunity! As a leading retailer with a commitment to transforming the shopping experience through cutting-edge technology, we pride ourselves on leveraging the power of data to drive meaningful decisions. At arenaflex, we believe that data is the backbone of modern retail, and our Data Sciences team is at the forefront of creating intelligent solutions that impact millions of customers every day. Join us and become part of a dynamic environment where your analytical skills can shape the future of retail technology.
Our Information Sciences division is dedicated to building advanced predictive algorithms that utilize data at scale to automate and streamline decisions across the enterprise. Whether you join our Statistics, Optimization, or AI teams, you will be challenged to harness arenaflex's extensive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Development, Search, and Personalization rely on daily. This is your opportunity to work with massive datasets and create real-world impact through innovative data science approaches.
Position Overview
We are currently seeking a talented and motivated Senior Data Scientist to join our growing Data Sciences team. In this role, you will be responsible for initiating and helping launch GenAI features, developing unified GenAI tools and services, and building organizational capabilities around Generative AI. This is an exciting opportunity for someone passionate about artificial intelligence and machine learning to make their mark in the retail industry.
As a Senior Data Scientist at arenaflex, you will work closely with a team of product designers and engineers to ensure optimal scaling and adoption of GenAI features. Your responsibilities will include designing and developing at-scale GenAI infrastructure architectures, prompt engine development, determining optimal model selection strategies, and creating continuous monitoring and evaluation tools. This position offers the chance to work on the bleeding edge of AI technology while solving real business challenges.
Key Responsibilities
GenAI Development: Initiate and help launch Generative AI features, working with cross-functional teams to bring innovative AI solutions to market
Infrastructure Design: Design and develop scalable GenAI infrastructure architectures that can handle enterprise-level workloads
Prompt Engineering: Develop and optimize prompt engines for various GenAI applications
Model Selection: Determine optimal model selection strategies based on business requirements and technical constraints
Monitoring & Evaluation: Create continuous monitoring and evaluation tools to ensure AI system performance and quality
Tool Development: Develop unified tools and services to evaluate and control GenAI model output quality across the enterprise
Research & Innovation: Stay current with emerging trends in the AI/ML industry and leverage expertise in building AI/deep learning solutions
Model Customization: Fine-tune pre-trained GenAI models when required to meet specific business needs
Code Quality: Follow Agile principles, adhere to best-practice programming design, participate in code reviews, and maintain a well-tested codebase with comprehensive documentation
Knowledge Sharing: Lead training sessions, present work to technical and non-technical peers, and build knowledge of business needs and key objectives
Collaboration: Collaborate effectively across geographies with team members and stakeholders
Required Qualifications
Educational Background: Bachelor's degree in quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience. A Master's or PhD in a quantitative field is preferred
Experience: Minimum 3 years of professional experience or equivalent industry experience in data science or related field
Technical Skills: Strong hands-on programming skills in Python, with knowledge of SQL, Hadoop/Hive, Spark, and/or Scala
ML/AI Expertise: Experience designing and developing deep learning, machine learning, optimization, and statistical models
Mathematical Knowledge: Strong working knowledge of mathematical and statistical concepts, algorithms, and computational complexity
Analytical Thinking: Excellent analytical thinking abilities with a passion for solving complex problems
Problem Solving: Strong problem-solving skills with the ability to develop innovative and creative solutions to real business challenges using data science approaches
Communication: Ability to create reports and stories presenting meaningful insights with excellent communication skills
Storytelling: Strong ability to tell data-driven stories through appropriate visualizations, charts, and narratives
Self-Motivation: Self-motivated and results-oriented with the ability to meet tight deadlines
Teamwork: Strong collaborative spirit with the ability to work effectively across geographies and with diverse teams
Preferred Qualifications
Advanced degree (MS or PhD) in a quantitative field
Experience developing GenAI-based systems
Demonstrated expertise in applied machine learning and deep learning techniques
Experience with large-scale data processing and distributed computing
Knowledge of cloud platforms and their AI/ML services
Experience with MLOps practices and model deployment
Skills & Competencies
To succeed in this role, you will need a combination of technical expertise and soft skills:
Programming Proficiency: Advanced Python programming skills with experience in ML frameworks such as TensorFlow, PyTorch, or similar
Data Engineering: Strong understanding of data pipelines, ETL processes, and data warehousing
Statistical Analysis: Deep knowledge of statistical methods, hypothesis testing, and experimental design
Machine Learning: Expertise in supervised and unsupervised learning, natural language processing, and computer vision
GenAI Knowledge: Understanding of large language models, prompt engineering, and generative AI architectures
Communication: Ability to translate complex technical concepts into business-friendly language
Adaptability: Ability to quickly learn new technologies and adapt to evolving business requirements
Innovation: Creative mindset with the ability to propose new approaches and solutions
Career Growth & Learning Opportunities
At arenaflex, we invest in your professional development and career growth. As a Senior Data Scientist, you will have access to:
Continuous Learning: Opportunities to stay updated with the latest developments in AI, ML, and GenAI through conferences, workshops, and training programs
Career Advancement: Clear pathways for career progression into lead roles, principal scientist positions, or management tracks
Cross-Functional Exposure: Experience working with various business units including Marketing, Supply Chain, Search, and Personalization
Innovation Labs: Access to internal innovation labs and the freedom to explore new ideas and technologies
Mentorship: Both receive mentorship from senior leaders and mentor junior team members
Technical Challenges: Tackle complex business problems at scale with access to vast amounts of retail data
Work Environment & Culture
arenaflex offers a collaborative and inclusive work environment that values diversity, innovation, and work-life balance. Our team culture emphasizes:
Team Collaboration: Work alongside talented professionals in an environment that encourages knowledge sharing and mutual support
Innovation Focus: We embrace experimentation and view failures as learning opportunities
Inclusive Culture: We celebrate differences and believe diverse perspectives drive better solutions
Flexible Work: Remote and hybrid work options available to support your work-life balance
Modern Tools: Access to state-of-the-art tools, technologies, and computing resources
Wellbeing: Comprehensive wellness programs and employee assistance resources
Compensation & Benefits
arenaflex offers a competitive compensation package that recognizes your skills and experience:
Salary: $32 per hour ($66,560 annually based on 40-hour work week)
Health & Wellness: Comprehensive health, dental, and vision insurance plans
Retirement Plans: 401(k) retirement plan with company match
Paid Time Off: Generous paid time off including vacation, sick leave, and holidays
Professional Development: Annual learning and development budget
Employee Discount: Exclusive employee discount on arenaflex products and services
Parental Leave: Paid parental leave for new parents
Life Insurance: Company-provided life insurance and disability coverage
Equal Opportunity Employer
arenaflex is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. We value diversity and do not discriminate based on race, color, religion, national origin, sex, age, disability, genetic information, sexual orientation, gender identity, or any other protected characteristic.
In accordance with the Americans with Disabilities Act (ADA), arenaflex will provide reasonable accommodations with the application process upon request as needed to comply with applicable laws.
Join Our Team
If you are passionate about data science, artificial intelligence, and making a real impact in the retail industry, we want to hear from you! At arenaflex, you will have the opportunity to work on challenging problems, innovate with cutting-edge technology, and grow your career alongside talented professionals.
Apply now to join our Data Sciences team and help shape the future of retail through the power of AI and machine learning. Take the next step in your career with arenaflex – where your data skills can drive meaningful change!