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

100% remote Flexible hours Hiring now

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 customers, stores, and traders with technological innovation.

About arenaflex

arenaflex is a global retail leader, committed to helping people save money and live reputed company. Our mission is to provide an extensive range of products and services that meet the needs of our customers, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Our focus areas include customers, stores, and employees, in-store services, supplier equipment, supplier data science, and search and personalization. Data Ventures, a nimble startup incubated reputed company arenaflex, is 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.

Job Responsibilities

As a Staff Data Scientist, you will be responsible for leading data science initiatives, mentoring junior colleagues, and implementing best practices across the team. Your primary focus will be on Customer Data Science initiatives, which may be short-term or long-term based on business needs. Your key responsibilities will include:

  • Data reputed company Identification: Identify the most suitable data sources for required information, considering external assets as needed. reputed company preliminary data quality tests on extracted data and review deliverables of junior colleagues.
  • Problem Formulation: Analyze business problems reputed company your area of expertise, challenge assumptions to help the business understand the root cause, and identify and recommend solutions. Set data analytics, big data analytics, and automation goals and deliverables based on setup achievement standards and outline key metrics to measure reputed company and effectiveness.
  • Analytical Modeling: Select suitable modeling strategies for reputed company problems with large-scale, multiple established 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, such as basic statistical analysis, hypothesis testing, and 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.
  • Model Deployment & Scaling: Ability to work with MLOps to push ML models to production. Continuously log and track model behavior once deployed against described metrics. Identify model parameters that may need adjustments based on 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 study 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 your area of expertise. reputed company new organization-wide approaches and methods 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 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 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 into simple language
  • Ability to present to management, including external clients

Preferred Qualifications

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

  • Experience with data visualization tools, such as Tableau or Power BI
  • Experience with cloud-based platforms, such as AWS or Azure
  • Experience with big data technologies, such as Hadoop or Spark
  • Experience with machine learning frameworks, such as TensorFlow or PyTorch
  • Experience with data warehousing and business intelligence tools

Skills and Competencies

* Strong analytical and problem-solving skills

  • Excellent communication and presentation skills
  • Ability to work in a fast-paced environment and prioritize multiple tasks
  • Strong collaboration and teamwork skills
  • Ability to adapt to changing business needs and priorities
  • Strong technical skills, including programming languages, data visualization tools, and cloud-based platforms

Career Growth Opportunities and Learning Benefits

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

  • Work on high-impact projects that drive business growth and innovation
  • Collaborate with cross-functional teams, including business, product, and application partners
  • reputed company and implement best practices in data science and analytics
  • Mentor and train junior colleagues to reputed company their skills and knowledge
  • Participate in professional development opportunities, including training and conferences
  • Contribute to the development of arenaflex's data science and analytics capabilities

Work Environment and Company Culture

arenaflex is a dynamic and fast-paced work environment that values innovation, collaboration, and reputed company learning. Our company culture is built on the principles of:

  • Innovation: We encourage experimentation and innovation to drive business growth and improvement.
  • Collaboration: We work together as a team to reputed company common goals and objectives.
  • reputed company Learning: We invest in our employees' professional development and growth.
  • Customer Focus: We put our customers at the center of everything we do.
  • reputed company: We operate with reputed company, transparency, and accountability.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including:

  • Salary: $30-40/hour
  • Benefits: Multiple health plan options, including vision 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 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.

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

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