Experienced Full Stack Data Scientist – Omnichannel Delivery Chain Optimization

At arenaflex, we're revolutionizing the retail industry by leveraging cutting-edge technology and data science to transform the omnichannel delivery chain strategy. Our team of industry-leading experts, consultants, and technologists combines strategic thinking with data expertise and advanced analytics to tackle the world's most complex delivery chain challenges at scale. We're seeking a highly skilled and experienced full stack data scientist to join our CENTROID Data Science team and contribute to the development of innovative solutions that drive business growth and customer satisfaction.

About arenaflex

arenaflex is a global retail leader that's committed to making a positive impact on people's lives. Our team of software engineers, data scientists, cybersecurity experts, and service experts is dedicated to using technology to drive innovation and create a better shopping experience for millions of customers. We're a people-led and tech-empowered organization that values collaboration, creativity, and continuous learning. Our mission is to empower our employees to grow and develop their skills, and to create a workplace that's inclusive, diverse, and supportive.

Key Responsibilities

As a full stack data scientist at arenaflex, you'll have the opportunity to work on a wide range of projects that involve developing, optimizing, and scaling models for the manufacturing environment. Your key responsibilities will include:

• Developing and implementing data-driven solutions to optimize the omnichannel delivery chain strategy
• Collaborating with cross-functional teams to identify business needs and develop data-driven solutions
• Designing and implementing experiments to test hypotheses and measure the impact of new solutions
• Developing and maintaining complex data models and algorithms using machine learning and deep learning techniques
• Working with large datasets to identify trends and patterns, and to develop predictive models
• Communicating complex technical concepts to both technical and non-technical stakeholders
• Collaborating with data engineers to design and implement data pipelines and architectures

Essential Qualifications

To be successful in this role, you'll need to have:

• A Ph.D. or M.S. in a quantitative field such as Operations Research, Mathematics, Computer Science, and Statistics, with up to ten years of relevant work experience
• Experience with optimization toolkits/libraries such as CPlex, Gurobi, XPressMP, or open-source solvers
• Strong software development skills in languages such as Python, and familiarity with machine learning libraries such as Scikit, TensorFlow, PyTorch, and Keras
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders
• Experience with cloud technology, including GCP, Azure, Spark, Hive, and TensorFlow
• A strong track record of peer-reviewed publications

Preferred Qualifications

While not essential, the following qualifications would be highly desirable:

• Experience with fixing tough stock/operations planning problems, and experience with stochastic discrete optimization problems using a variety of heuristics, integer programming models, and/or simulation-based approaches
• Experience with advanced statistical modeling techniques, such as SVM, Random Forest, Bayesian inference, Graph models, NLP, Computer Vision, and Neural Networks
• Experience with developing and deploying machine learning models in a production environment
• Experience with working with large datasets and developing predictive models
• Experience with collaborating with cross-functional teams to develop data-driven solutions

Skills and Competencies

To be successful in this role, you'll need to have a range of skills and competencies, including:

• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills
• Ability to work in a fast-paced environment and prioritize multiple tasks and projects
• Strong technical skills, including proficiency in programming languages such as Python, and experience with machine learning libraries such as Scikit, TensorFlow, PyTorch, and Keras
• Experience with cloud technology, including GCP, Azure, Spark, Hive, and TensorFlow
• Strong understanding of data modeling and machine learning concepts
• Ability to work in a collaborative environment and communicate complex technical concepts to both technical and non-technical stakeholders

Career Growth Opportunities and Learning Benefits

At arenaflex, we're committed to helping our employees grow and develop their skills. As a full stack data scientist, you'll have access to a range of learning and development opportunities, including:

• Regular training and development programs to help you stay up-to-date with the latest technologies and techniques
• Opportunities to work on a wide range of projects and collaborate with cross-functional teams
• Access to a range of mentorship and coaching programs to help you develop your skills and advance your career
• Opportunities to contribute to the development of new technologies and innovations
• A culture that values collaboration, creativity, and continuous learning

Work Environment and Company Culture

arenaflex is a dynamic and fast-paced work environment that's committed to making a positive impact on people's lives. Our team is passionate about using technology to drive innovation and create a better shopping experience for millions of customers. We're a people-led and tech-empowered organization that values collaboration, creativity, and continuous learning. Our culture is inclusive, diverse, and supportive, and we're committed to creating a workplace that's welcoming and empowering for all employees.

Compensation, Perks, and Benefits

As a full stack data scientist at arenaflex, you'll be rewarded with a competitive compensation package that includes:

• A base salary of $65-$100 per hour
• Incentive awards for your performance
• A 401(k) match
• An inventory buy plan
• Paid maternity and parental leave
• Paid time off
• A range of health and wellness benefits, including health insurance, dental insurance, and multiple fitness plans

How to Apply

If you're a highly skilled and experienced full stack data scientist who's passionate about using technology to drive innovation and create a better shopping experience for millions of customers, we'd love to hear from you. Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you and learn more about your qualifications and experience. Apply for this job