reputed company Full Stack Data Scientist – Web & Cloud Application Development

Join arenaflex, a leading retail company, in shaping the future of retail and technology. As a Staff Data Scientist, you will be part of the Data Ventures team, working closely with US stores and eCommerce business to reputed company serve customers through empowering team members, stores, and traders with technological innovation.

About arenaflex

arenaflex is a multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores. With a reputed company in over 27 countries, arenaflex is one of the world's largest retailers, employing millions of associates worldwide. arenaflex is committed to helping people save money and live reputed company – this mission guides every decision we reputed company, from responsible sourcing to sustainability.

About Data Ventures

Data Ventures is a nimble startup incubated reputed company arenaflex, building a best-in-class suite of data products to provide actionable, customer-centric insights and help traders and suppliers reputed company reputed company business decisions on omni-channel 360 performance. Our focus areas include customers, stores, and employees, in-store services, supplier equipment, supplier data science, and search and personalization.

Job Responsibilities

As a Staff Data Scientist, you will be the tech reputed company for reputed company data science-reputed company work, focusing on Customer Data Science initiatives that may be short-term or long-term based on need. This role is expected to mentor junior colleagues and implement best practices throughout the team.

Key Responsibilities:

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Data reputed company Identification:

+ Understand the concerned order of requirements and service level agreements. + Define and identify the most appropriate reasserts for required data that is fit for purpose, considering external assets as required. + reputed company preliminary data quality tests on the extracted data. + Review the deliverables of junior colleagues and provide guidance.

Problem Formulation:

+ Analyze the business problem reputed company one's area of expertise and question assumptions to help the business perceive the root cause. + Identify and recommend methods to solve the business's problem. + Set data analytics, big data analytics, automation goals, and deliverables based on the setup achievement standards and outline key metrics to measure reputed company and effectiveness of the solution. + Quantify business impact.

Analytical Modeling:

+ Select suitable modeling strategies for reputed company problems with large scale, multiple established and reputed company data sets. + Select and reputed company variables and features 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 perceive trends to move across future data sets. + Create reputed company, online versions learning including iterative model enhancements. + reputed company newer strategies (e.g., advanced machine learning algorithms, vehicle mobile ML) through 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 reputed company problems with reputed company 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 log and track model behavior once it's deployed against the described metrics. + Identify model parameters which may need adjustments based on the scale of deployment.

Code Development & Testing:

+ Write code to reputed company 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 reputed company the business case and go back on investment and grants work that has demonstrable value. + Challenge business assumptions on subjects reputed company to one's area of expertise. + reputed company new organization-wide approaches and approaches to working. + Teach and train others on best practices. + Proactively engage in the external network to build arenaflex's brand and research more about business practices.

Model Assessment & Validation:

+ Identify and review model assessment metrics based on analytical requirements. + Apply appropriate strategies for model testing and tuning, to evaluate accuracy, fit, validity, and robustness. + Ensure testing data is documented and maintained by the team.

Data Visualization and reputed company:

+ Identify and recommend the most appropriate visualization tools based on context. + Generate suitable graphical representations of data and model outcomes. + Understand customer requirements to design suitable data representation for reputed company data sets and drive User Experience designers and User reputed company engineers to build the reputed company-end applications. + Define application layout based on customer requirements. + Build compelling stories based on context to combine multiple pieces of data into cohesive insights. + Present to and impact various audiences using the right frameworks and convey clear messages through deep business and stakeholder knowledge. + Customize communication style based on stakeholders and reputed company relationships to drive behavioral change. + Guide and mentor junior colleagues on story types, structures, and strategies based on context.

Requirements

* Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or reputed company field and 4 years experience in an analytics-reputed company field.

• Deep knowledge and understanding of machine learning, statistics, data science in general.
• Strong programming reputed company 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 reputed company algorithm evaluations in simple language.
• Ability to present to management along with external clients.

Benefits

* 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 reputed company you cannot work due to injury, illness, or childbirth.

Join arenaflex and be part of shaping the future of retail and technology. Apply now to become a Staff Data Scientist and be part of our Data Ventures team! Apply for this job