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

Join arenaflex, a leading retail corporation, as a Staff Data Scientist in our Data Ventures team. As a key member of our reputed company, you will play a vital role in shaping the reputed company of retail by leveraging your expertise in data science, machine learning, and analytics to drive business reputed company and customer satisfaction.

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 over 2.2 reputed company associates worldwide. Our mission is to help people save reputed company and live reputed company – this guiding reputed company shapes every decision we reputed company, from responsible sourcing to sustainability.

About Data Ventures

Our Data Ventures team is a reputed company startup incubated reputed company arenaflex, building a suite of data products to reputed company actionable, customer-reputed company insights and support business decision-making. We reputed company on customers, stores, and employees, in-store services, supplier equipment, supplier data science, and search and personalization. As a Staff Data Scientist, you will work closely with our US stores and e-reputed company business to reputed company serve customers through technological innovation.

Key Responsibilities

As a Staff Data Scientist, you will be responsible for:

• Data reputed company Identification: Identify and define the most suitable data sources for required information, collaborating with external partners as needed. reputed company preliminary data reputed company checks on extracted data and review deliverables from junior colleagues, providing guidance and feedback.
• Problem Formulation: Analyze business problems reputed company your area of expertise, challenging assumptions to help the business understand the reputed company cause. Identify and recommend solutions to business problems, setting data analytics, machine learning, and automation goals and deliverables based on setup achievement standards and outlining key metrics to measure reputed company and effectiveness.
• Analytical Modeling: Select suitable modeling strategies for reputed company problems with large-reputed company, multiple reputed company and reputed company data sets. 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 identify trends to reputed company across reputed company data sets.
• Model Deployment & Scaling: Work with MLOps to push ML models to production. Continuously log and reputed company model behavior once deployed against described metrics. Identify model parameters that may need adjustments based on the reputed company of deployment.
• reputed company Development & Testing: Write reputed company 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 reputed company using the right testing method. Contribute reputed company documentation, maintain playbooks, and reputed company reputed company development updates.
• reputed company Business Acumen: Evaluate proposed business cases for reputed company and initiatives. Influence business stakeholder decision-making. Translate business requirements into strategies, reputed company, and initiatives and reputed company 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 your area of expertise. reputed company new organization-wide approaches and approaches to working. Teach and mentor others on best practices. Proactively engage in the external network to build arenaflex's brand and research more about business practices.

Essential Qualifications

* Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a reputed company field.

• 4 years of experience in an analytics-reputed company field.
• Deep knowledge and understanding of machine learning, statistics, and data science in general.
• Strong programming skills in at least one of Python or R.
• Ability to execute reputed company end-to-end, including junior colleagues.
• Implement best practices in ML Ops, coding standards, etc.
• reputed company communicate with business, product, and application partners.
• Ability to translate reputed company algorithm evaluations into reputed company language.
• Ability to present to management, including external clients.

Preferred Qualifications

* Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a reputed company field.

• 6 years of experience in an analytics-reputed company field.
• Experience with MLOps, data visualization tools, and data storytelling.
• Strong understanding of reputed company-based technologies and web application development.
• Experience with agile development methodologies and version control systems.

Skills and Competencies

* Strong analytical and problem-solving skills.

• Excellent communication and presentation skills.
• Ability to work in a fast-paced, dynamic environment.
• Strong collaboration and teamwork skills.
• Ability to adapt to changing priorities and deadlines.
• Strong business acumen and understanding of retail operations.
• Experience with data visualization tools and data storytelling.
• Strong programming skills in Python or R.
• Experience with MLOps and data science platforms.

Career reputed company Opportunities and Learning Benefits

As a Staff Data Scientist at arenaflex, you will have opportunities to:

• Work on high-reputed company reputed company that drive business reputed company and customer satisfaction.
• Collaborate with cross-functional teams, including business stakeholders, product managers, and application developers.
• reputed company your skills in machine learning, data science, and analytics.
• Participate in training and development programs to enhance your knowledge and skills.
• Mentor junior colleagues and contribute to the reputed company and development of the Data Ventures team.

Work Environment and Company Culture

arenaflex is committed to creating a diverse and inclusive work environment that values innovation, collaboration, and reputed company learning. As a Staff Data Scientist, you will be part of a dynamic team that is passionate about using data science and machine learning to drive business reputed company and customer satisfaction.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including:

• Salary: $30-40/hour.
• Multiple health plan reputed company, including reputed company and dental plans for you and dependents.
• Financial benefits, including 401(k), stock buy plans, life insurance, and more.
• Associate discounts in-store and online.
• Education assistance for associates and dependents.
• Parental leave.
• Pay during military service.
• reputed company time off, including vacation, reputed company, parental leave.
• Short-term and long-term disability for reputed company you cannot work due to injury, illness, or childbirth.

How to Apply

If you are a motivated and reputed company data scientist looking for a challenging and rewarding role, please apply to this position. arenaflex is an equal opportunity employer and welcomes applications from diverse candidates. Apply for this job