Posted:
9/24/2024, 5:00:00 PM
Location(s):
Sunnyvale, California, United States ⋅ New Jersey, United States ⋅ Hoboken, New Jersey, United States ⋅ California, United States
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Workplace Type:
Hybrid
Position Summary...
What you'll do...
As a Staff, Data Scientist, you will be a Technical lead on Data science projects and work with marketing stake holders to take ownership of implementation and delivery responsibilities. You will develop “intelligent” features and deliver outstanding business outcomes leveraging Experimentation, measurement and causal inference techniques.
We are seeking a highly motivated and talented Marketing Experimentation Data Scientist to join our agile team of measurement data scientists, machine learning scientists, and applications engineers. As a member of our team, you will be responsible for developing and implementing cutting-edge experimentation and measurement solutions to drive high-impact marketing decisions. You will work with massive flows of data from online and offline user activity, using machine learning, data mining, and experimentation algorithms to optimize marketing campaigns and empower data-driven decision-making.
What you'll do:
Running large-scale statistical A/B testing to evaluate the performance of machine learning and statistical models in marketing applications which drives millions of clicks to Walmart eCommerce per day.
Lead the development and implementation of methodologies for measuring the effectiveness of marketing campaigns and strategies.
Develop solution in marketing media measurement domain, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms.
Collaborate with cross-functional teams, including marketing, product, and technology, to identify high-impact opportunities for experimentation and measurement.
Develop and maintain advanced machine learning and data mining models to analyze and interpret large datasets from online and offline user activity.
Building advanced machine learning and deep learning models with various applications in marketing, such as customer targeting and personalized recommendation.
Work with massive datasets from various sources, including online advertising platforms, customer relationship management systems, and point-of-sale systems.
Develop and implement data pipelines and infrastructure to support experimentation and measurement activities.
Collaborate with applications engineers to design and implement scalable and maintainable solutions.
Communicate insights and results to stakeholders through clear and compelling visualizations and reports.
Stay up-to-date with the latest advancements in machine learning, data science, and marketing technology to identify opportunities for innovation and improvement.
What you'll bring:
At least 4 years of experience in marketing measurement and attribution, preferably in a retail or e-commerce environment.
Strong understanding of statistical modeling and analysis, including regression, A/B testing, and experimentation.
Strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform (Python, R, SQL, Spark, Hive etc.).
Experienced with traditional as well as modern machine learning/statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, and Reinforcement Learning.
Experienced with end-to-end modeling projects emerging from research efforts.
You’re an inquisitive, out-of-the box thinker who’s continually on the lookout for opportunities to improve and innovate data science solutions
You have consistently high standards, your passion for quality is inherent in everything that you do
You have the courage to fail fast
You have proven ability as a full stack data scientist who develops, optimizes, and scales models for the production environment
You connect the how and why, using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose.
The Walmart Business Engineering team is currently seeking a Senior Software Engineer with a strong background in backend development. We are looking for someone who is passionate about solving problems on a large scale. If this sounds like you, we encourage you to apply!
About Team: New Ventures (B2B)
We are Walmart Business (B2B) group and our mission is better serve businesses and non-profit organizations so they can focus on their missions. We lean on our fulfillment centers, stores, merchants and technical innovations to evolve this new and growing area of Walmart. By building and releasing new business-centric buying capabilities and experiences, we will grow this new and exciting opportunity for Walmart. Focus areas include business friendly purchasing capabilities, onboarding and marketing, business customer support and operations, and business engagement and monetization.
What you'll do:
What you'll bring:
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.
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 $132,000.00-$264,000.00
Sunnyvale, California US-07003:The annual salary range for this position is $143,000.00-$286,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related fieldOutlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD 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.Website: http://www.walmart.com/
Headquarter Location: Bentonville, Arkansas, United States
Employee Count: 10001+
Year Founded: 1962
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: E-Commerce ⋅ Grocery ⋅ Retail ⋅ Retail Technology ⋅ Shopping