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(USA) Senior, Data Scientist (Computer Vision Engineer) - job 1 of 25

Position Summary...What you'll do...As a Computer Vision Engineer, you will be designing, training and deploying state-of-art AI models in real-world production environment. In conjunction with multiple product and technology groups, you will work to create a best-in-class consumer experience in the physical retail space.You'll sweep us off our feet if....• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open-source repositories (e.g. GitHub).• Experience with research and development of computer vision (object detection, tracking, scene understanding)You'll make an impact by...• Developing computer vision algorithms and machine learning models to enhance different customer facing application.• Collaborate within projects within a mixed team of software engineer and computer vision engineer.• Follow and apply engineering and computer vision best practices,What you'll do...• Research, develop and analyze computer vision algorithms in areas related to object detection, tracking, product identification and verification, scene understanding.• Ensure model robustness, model generalization, accuracy, testability, and efficiency.• Write product or system development code.What you'll bring...• Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Computer Vision, relevant technical field, or equivalent practical experience. Or MS with 2 years industry experience• Experience in one or more of the following areas: machine learning, deep learning, computer vision• Experience in programming languages with a technical background• You are a team player - that is, you're a nice person - see no ego.• Highly motivated and independent; results oriented.• A self-learner: ability to effectively adapt to rapidly changing technology and apply it to business needs, integrate multiple tools together to solve business problems.Analytical Modeling: Requires knowledge of feature relevance and selection; Exploratory data analysis methods and techniques; Advanced statistical methods and best-practice advanced modelling techniques (e.g., graphical models, Bayesian inference, basic level of NLP, Vision, neural networks, SVM, Random Forest etc.); Multivariate calculus; Statistical models behind standard ML models; Advanced excel techniques and Programming languages like R/Python; Basic classical optimization techniques (e.g., Newton-Rapson methods, Gradient descent); Numerical methods of optimization (e.g. Linear Programming, Integer Programming, Quadratic Programming, etc.) To select the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models. Conduct exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Define and finalize features based on model responses and introduces new or revised features to enhance the analysis and outcomes. Identify the dimensions of the experiment, finalize the design, test hypotheses, and conduct the experiment. Perform trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business. Mentor and guide junior associates on basic modeling and analytics techniques to solve complex problems.Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities.Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.Live our ValuesCulture Champion• Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart's commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance.Servant Leadership• Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.Embrace ChangeCuriosity & Courage• Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.Digital Transformation & Change• Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.Deliver for the CustomerCustomer Focus• Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans.Strategic Thinking• Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy.Focus on our AssociatesDiversity, Equity & Inclusion• Embraces diversity in all its forms and actively supports diversity of ideas and perspectives, as well as diversity goal programs.Collaboration & Influence• Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action.Talent Management• Contributes to an environment allowing everyone to bring their best selves to work, demonstrates engagement and commitment to the team, and recognizes others' contributions and accomplishments.At Walmart, 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 (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.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 .Live Better U is a Walmart-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 .At Walmart, 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 (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.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 .Live Better U is a Walmart-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 .Hoboken, New Jersey US-10279:The annual salary range for this position is $108,000.00-$216,000.00Sunnyvale, California US-08479:The annual salary range for this position is $117,000.00-$234,000.00Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include:- StockMinimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 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...221 River St, Hoboken, NJ 07030, United States of America
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What You Should Know About (USA) Senior, Data Scientist (Computer Vision Engineer), Walmart

At Walmart, we're excited to welcome a talented Senior Data Scientist with a focus on Computer Vision Engineering to our Fort Lee, NJ, team! As a key player in our forward-thinking tech environment, you'll dive into designing, training, and deploying cutting-edge AI models that elevate the consumer experience in physical retail. We're looking for someone who loves solving complex challenges and enjoys collaborating with diverse teams. If you have a knack for computer vision and experience in object detection or scene understanding, this is the perfect spot for you to thrive. Your day-to-day will include researching and developing algorithms, ensuring model robustness, and writing clear product code. We value self-motivated team players who are eager to learn and adapt, so if you’re ready to make an impact and step into a role where your contributions will matter, come join us at Walmart!

Frequently Asked Questions (FAQs) for (USA) Senior, Data Scientist (Computer Vision Engineer) Role at Walmart
What are the responsibilities of a Senior Data Scientist in Computer Vision at Walmart?

As a Senior Data Scientist focusing on Computer Vision at Walmart, you'll be responsible for designing and implementing innovative AI models, specifically in object detection and scene understanding. You'll collaborate with cross-functional teams to enhance customer-facing applications, conduct rigorous research on algorithms, and ensure the efficiency and accuracy of your models. Your insights will directly contribute to enriching the consumer shopping experience.

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What qualifications are needed for the Senior Data Scientist Computer Vision Engineer position at Walmart?

The ideal candidate for the Senior Data Scientist Computer Vision Engineer position at Walmart should have a PhD in Computer Science, Computer Vision, or a related technical field, or a Master's degree with relevant industry experience. A strong foundation in machine learning, deep learning, and expertise in programming languages are essential, as is the ability to work effectively within a team environment.

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How does Walmart support the professional development of Senior Data Scientists in Computer Vision?

Walmart is committed to the growth of our employees, offering various educational benefits through our Live Better U program. This program includes support for completing degrees and professional development seminars relevant to your role as a Senior Data Scientist in Computer Vision. You'll have opportunities to mentor junior associates and expand your own skill set, enhancing your career trajectory within the company.

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What kind of work environment can Senior Data Scientists expect at Walmart?

At Walmart, Senior Data Scientists enjoy a collaborative, innovative work environment where diverse perspectives are valued. You'll be working alongside a talented mix of software and computer vision engineers in a culture that encourages curiosity, continuous learning, and adapting to new technologies to solve complex business problems creatively.

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What tools and technologies will be used by Senior Data Scientists at Walmart?

As a Senior Data Scientist in Computer Vision at Walmart, you'll work with advanced tools and technologies such as Python, R, and machine learning frameworks like TensorFlow and PyTorch. Familiarity with algorithms for object detection, tracking, and machine learning modeling will be essential for developing solutions that drive business outcomes.

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Common Interview Questions for (USA) Senior, Data Scientist (Computer Vision Engineer)
Can you explain your experience with computer vision algorithms?

Discuss specific projects where you've implemented computer vision algorithms, particularly highlighting your role in the development and deployment process. Describe the technologies used and the outcomes achieved, demonstrating your technical expertise and problem-solving approach.

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How do you ensure the robustness of AI models you develop?

Emphasize the importance of testing and validation in your model development process. Share your methods for assessing model performance, including cross-validation techniques and quantitative metrics you use to evaluate accuracy and efficiency.

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Describe a complex problem you solved with data analysis.

Provide a detailed example of a complex data analysis project, explaining the problem, your approach in analyzing the data, the tools you used, and the impact of your solution. This can show your analytical skills and ability to produce actionable insights.

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How do you stay current with advancements in machine learning and AI?

Talk about your habits for keeping up with industry trends, such as following leading researchers and industry publications, participating in conferences, or engaging in online courses. This shows your commitment to continuous learning and adapting to advancements in technology.

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What programming languages are you most comfortable with, and why?

Identify the programming languages you excel at, such as Python or R, and explain why you prefer them in the context of data science and machine learning. Discuss relevant experiences that solidify your proficiencies in these languages.

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How do you prioritize tasks when working on multiple projects?

Outline your approach to task prioritization, emphasizing the use of project management tools and communication with team members. Highlight strategies that help you focus on meeting deadlines and producing high-quality work.

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Can you provide an example of how you collaborated with a team?

Share a specific scenario that illustrates your teamwork skills. Detail the team dynamics, your contributions, and the successful outcomes of your collective efforts, underscoring your collaborative spirit.

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What techniques do you use for feature selection in your models?

Discuss techniques you've employed for feature selection, such as using domain knowledge, statistical tests, and data visualization strategies to derive insights. Reference specific outcomes from your modeling efforts that benefitted from effective feature selection.

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How do you approach debugging complex algorithms?

Explain your systematic approach to debugging, which may involve iterative testing, logging, and analyzing outputs to identify discrepancies. Discuss how resolving bugs has enhanced your models and overall project quality.

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Why do you want to work at Walmart as a Senior Data Scientist?

Articulate your enthusiasm for Walmart’s mission and the impact you wish to make through this role. Highlight the alignment between your skills, Walmart’s commitment to innovation, and your desire to create improved consumer experiences through cutting-edge technologies.

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Full-time, on-site
DATE POSTED
December 10, 2024

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