**Join arenaflex, a leading retail company, in shaping the future of retail technology and data-driven decision making.**
**About arenaflex**
arenaflex is a multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores. With a presence in over 27 countries, arenaflex is one of the world's largest retailers, employing over 2.2 million associates worldwide. Our mission is to help people save money and live better – anytime and anywhere – in retail stores, online, and through our mobile devices.
**Data Ventures Team**
Our Data Ventures team is a dynamic and innovative group of data scientists, engineers, and analysts who work closely with our US stores and e-commerce business to better serve our customers through technological innovation. We focus on empowering our associates, stores, and suppliers with cutting-edge technology to provide an unparalleled shopping experience. Our areas of focus include customers, stores, and employees, in-store services, supplier equipment, supplier data science, and search and personalization.
**Job Summary**
We are seeking an experienced Full Stack Data Scientist to join our Data Ventures team. As a Staff Data Scientist, you will be the technical lead for all data science-related work, focusing on Customer Data Science initiatives. You will work closely with our US stores and e-commerce business to develop actionable, customer-centric insights and drive business decisions on omni-channel 360 performance.
**Key Responsibilities**
* **Data Source Identification**
+ Understand the concerned order of requirements and service level agreements.
+ Define and identify the most appropriate reasserts for required data that fits the purpose, involving external resources as required.
+ Perform preliminary data quality tests on the extracted data.
+ Review the deliverables of junior colleagues and provide guidance.
* **Problem Formulation**
+ Analyze the business problem within one's domain and question assumptions to help the business perceive the root cause.
+ Identify and recommend methods to solve the business problem.
+ Set data analytics, big data analytics, automation goals, and deliverables based on the setup achievement standards and outline key metrics to measure progress and effectiveness of the solution.
+ Quantify business impact.
* **Analytical Modeling**
+ Select suitable modeling strategies for complex problems with large-scale, multiple established 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 (e.g., basic statistical analysis, hypothesis testing, statistical inferences) on to-be-had data.
+ Identify dimensions and designs of experiments and create test and research frameworks.
+ Interpret data to identify trends to move across future data sets.
+ Create continuous, online learning including iterative model enhancements.
+ Develop newer strategies (e.g., advanced machine learning algorithms, vehicle mobile ML) by leveraging the latest developments in machine learning, artificial intelligence to teach algorithms to use models to new data sets.
+ Guide the team on function engineering, experimentation, and advanced modeling strategies for use for complex problems with unstructured and multiple data sets (e.g., streaming data, raw text data).
* **Model Deployment & Scaling**
+ Ability to work with MLOps to push ML models to production.
+ Continuously logs and tracks model behavior once deployed against the described metrics.
+ Identifies model parameters that may need adjustments based on the scale of deployment.
* **Code Development & Testing**
+ Write code to develop the specified solution and application capabilities by identifying the right programming language and leveraging business, technical, and data requirements.
+ Create test cases to learn and validate the proposed solution design.
+ Create proofs of concept.
+ Test the code using the right 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 method and goals and drive the execution of deliverables.
+ Build and articulate the business case and go back on investment and grants work that has demonstrable value.
+ Challenge business assumptions on topics related to one's area of expertise.
+ Develop new organization-wide approaches and methods to working.
+ Teach and train others on best practices.
+ Proactively engage in the external network to build arenaflex's brand and learn more about business practices.
* **Model Assessment & Validation**
+ Identifies and reviews model assessment metrics based on analytical requirements.
+ Applies appropriate strategies for model testing and tuning, to evaluate accuracy, fit, validity, and robustness.
+ Ensures testing data is documented and maintained by the team.
* **Data Visualization and Storyteller**
+ Identifies and recommends the most appropriate visualization tools based on context.
+ Generates suitable graphical representations of data and model outcomes.
+ Understand customer requirements to design suitable data representation for complex data sets and drive User Experience designers and User Interface engineers to build the front-end applications.
+ Defines application layout based on customer requirements.
+ Builds compelling stories based on context to combine multiple pieces of data into cohesive insights.
+ Presents to and impacts various audiences using the right frameworks and conveys clear messages through deep business and stakeholder knowledge.
+ Customizes communication style based on stakeholders and leverages relationships to drive behavioral change.
+ Guides and mentors junior colleagues on story types, structures, and strategies based on context.
**What You'll Bring**
* Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 4 years of experience in an analytics-related field.
* Deep knowledge and understanding of machine learning, statistics, data science in general.
* Strong programming skills in at least one of Python/R.
* Ability to execute projects end-to-end including junior colleagues.
* 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 external clients.
**What We Offer**
* Multiple health plan options, including vision & dental plans for you & dependents.
* Financial benefits including 401(k), stock buy plans, life insurance, and more.
* Associate discounts in-store and online.
* Education help for Associates and dependents.
* Parental Leave.
* Pay during military service.
* Paid Time off – including vacation, sick, parental.
* Short-term and long-term disability for when you cannot work due to injury, illness, or childbirth.
**Join arenaflex Today!**
If you're passionate about data science, machine learning, and driving business decisions with data-driven insights, we want to hear from you! Apply now to become a part of our dynamic Data Ventures team and help shape the future of retail technology at arenaflex.
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