Data Scientist III -- Sams Club AI Lab (2024)

Position Summary...

What you'll do...

As an data scientist III with a focus on machine learning at Sam's Club AI Lab, you will work closely with tech leads and scrum leads to deliver impactful business results through your data science competencies. We rely on your strong motivation to learn and adapt to a variety of tech stacks. In this role, you should be highly analytical with a strong foundation in machine learning theory and practice. Critical thinking and problem-solving skills are essential for interpreting data. Your ability to collaborate effectively with diverse teams and communicate complex concepts will be key to your success in this role.

About Team:
Sam's Club is our membership warehouse club, a business model that provides our members with high-quality products at prices that are unrivaled by traditional retail. Sam's Club provides a carefully curated assortment of items, as well as developing and leading technologies and services such as Scan & Go, Club Pickup, and home delivery service in select markets. Sam's Club also provides travel, auto purchasing, pharmacy, optical, hearing aid centers, tire and battery centers, and a portfolio of business operations support services.

What you'll do:

  • Identify valuable data sources and automate collection processes.
  • Undertake preprocessing of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.
  • Build predictive models and machine-learning algorithms.
  • Combine models through ensemble modeling.
  • Present information using data visualization techniques.
  • Propose solutions and strategies to business challenges.
  • Collaborate with engineering and product development teams.

What you'll bring:

  • Knowledge of programming languages like SQL, Python, R, and a familiarity with Scala, Java is also desirable.
  • Strong mathematical skills to help collect, measure, organize and analyze data.
  • Knowledge of data management and visualization techniques.
  • A knack for statistical analysis and predictive modeling.
  • Good communication skills to present information to non-technical team members and stakeholders.
  • Strong problem-solving skills.

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Flexible, hybrid work:
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.

Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

At Sam's Club, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet!

- Health benefits include medical, vision and dental coverage

- Financial benefits include 401(k), stock purchase and company-paid life insurance

- Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

For information about PTO, see https://one.walmart.com/notices.

- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursem*nt, and more.

Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For information about benefits and eligibility, see One.Walmart.

The annual salary range for this position is $90,000.00-$180,000.00

Additional compensation includes annual or quarterly performance bonuses.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

1670 W University Dr, Mckinney, TX 75069-3444, United States of America

Data Scientist III -- Sams Club AI Lab (2024)

FAQs

Is AI difficult than data science? ›

Which is harder AI or data science? The difficulty of AI vs data science varies based on individual aptitudes and backgrounds. AI often requires a deep understanding of algorithms, mathematics, and computer science. In contrast, data science might focus more on statistics, data analysis, and domain expertise.

How do data scientists work with AI? ›

Data science combines statistical tools, methods, and technology to generate meaning from data. Artificial Intelligence takes this one step further and uses the data to solve cognitive problems commonly associated with human intelligence, such as learning, pattern recognition, and human-like expression.

How data science and AI complement Lean Six Sigma? ›

By leveraging AI algorithms, organizations can uncover insights and patterns that were previously inaccessible, enabling them to make data-driven decisions with unprecedented precision. The integration of AI with Lean Six Sigma presents a transformative opportunity to reshape the future of quality management.

Which has more salary, AI or data science? ›

Salary. Professionals in both roles are highly compensated. However, AI engineers have higher salaries, on average, than data scientists. As of September 2022, the median annual salary for a data scientist was around $98,000, according to PayScale, with experienced data scientists earning $137,000 on average.

What is the salary of data scientist in AI? ›

Data Scientist salaries in India

The estimated total pay for a Data Scientist is ₹14,22,500 per year, with an average salary of ₹13,00,000 per year. This number represents the median, which is the midpoint of the ranges from our proprietary Total Pay Estimate model and based on salaries collected from our users.

Will AI replace data scientists? ›

Therefore, the crux of the matter is AI can aid data science to improve its efficiency but it is not equipped yet to replace data science and data scientist jobs completely. Therefore, can data science be replaced AI? is yet not a relevant question or theory to be answered in the present situation.

Is data science still in demand in 2024? ›

Data science continues to be a vital field in 2024, driving innovation across industries. Even with the tech layoffs of 2023, data science jobs were largely spared, highlighting their importance to business growth.

Is data scientist a stressful job? ›

The sheer volume of data that needs to be analyzed can also be overwhelming, leading to high levels of stress. Additionally, the need to stay updated with constantly evolving technologies and tools adds to the pressure.

Will data science exist in 10 years? ›

In the grand tapestry of technological progress, data science stands as a resilient thread answering your question: is data science dead in 10 years? As long as data continues to be generated and challenges require insightful solutions, data science will flourish.

Is data scientist tough? ›

Data science can be challenging to learn in-depth: experts estimate around six to twelve months to master data science fundamentals, but expertise in the field takes years. For that reason, students interested in data science for its own sake often choose immersive bootcamps or certificate programs.

What is the salary of AI developer? ›

The average salary for AI Engineer is ₹11,13,599 per year in the India. The average additional cash compensation for a AI Engineer in the India is ₹1,13,599, with a range from ₹87,698 - ₹3,30,000. Salaries estimates are based on 365 salaries submitted anonymously to Glassdoor by AI Engineer employees in India.

Is Lean Six Sigma obsolete? ›

In reality, lean six sigma remains a powerful tool for continuous improvement especially when combined with other enabling solutions such as agile, advanced analytics and artificial intelligence.

Is Lean sigma six worth it? ›

Is it Worth Getting a Lean Six Sigma Green Belt? It is not surprising that our answer to this question is an enthusiastic “yes”. Lean six sigma green belt is one of the most valuable and versatile certifications you can achieve.

How does AI analyze data? ›

AI Analytics is based on ML algorithms that are able to learn many different patterns of normal behavior very accurately, and provide correlations between anomalies in a way that is nearly impossible for an analyst to perform (correlations between millions of time series in some cases).

Is it better to study data science or Artificial Intelligence? ›

The choice between data science and AI depends on the specific objectives and needs of a project or organization. Data science primarily focuses on extracting insights and knowledge from data, while AI aims to create intelligent systems that can perform tasks without explicit programming.

Will AI take over data science? ›

While AI has the potential to automate certain aspects of data engineering, it is unlikely to completely replace human data engineers in the foreseeable future. AI can assist in tasks like data integration, cleansing, and basic ETL (Extract, Transform, Load) processes.

Which is future AI or data science? ›

The data science market will reach USD 178 billion by 2025, while AI will rise 13.7% to USD 202.57 billion by 2026. Today, Data analytics and AI benefit companies across industries.

Is Artificial Intelligence a difficult major? ›

Share: Contrary to the popular misconception, AI isn't complicated or hard to learn. But you must have a knack for programming, mathematics, and statistics to grasp the fundamental concepts. These skills will empower you to analyse data, develop efficient algorithms, and implement AI models.

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