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.
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