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Position Summary... What you'll do... About Walmart Connect At Walmart, we’ve led retail for over 60 years by keeping our customers’ needs at the center of everything we do. Our latest innovations leverage our online reach and massive network of physical stores to save 160 million weekly omnichannel customers time and money in ways no other retailer can match.   Walmart Connect is building a robust in-house advertising business that’s key to Walmart’s growth strategy. We partner closely with brands on strategies and solutions that harness Walmart’s unparalleled omnichannel influence. We deliver relevant retail ads and experiences that connect our customers with the brands and products they love. And we use Walmart’s proprietary online and in-store data, encompassing 95% of American households, to measure campaign-correlated sales on our site and in our stores.  Walmart isn’t simply the world’s most successful retailer — we’re the world’s largest company. This is a unique opportunity to be part of a high-visibility team backed by the most talented retail colleagues in the world and over six decades of success. Join us.As part of Walmart Connect, you’ll be part of building industry defining omni-channel retail analytics capabilities that enable brand advertiser to invest strategically, confidently, and effectively. If you are motivated by complex, purposeful challenges, this role at Walmart Connect could be the fit you’ve been looking for.  We are looking for a Senior Data Scientist, to drive advertiser media strategy and performance through advanced statistical modeling and machine learning techniques.In this fast-growing team, the Sr. Data Scientist will build predictive models, derive media insights, define statistically sound solutions including but not limited to lift analysis, experiment design, incrementality testing, marketing mix models, multi touch attribution, uplift targeting, automated optimization strategies, and advertiser-facing recommendations. This role combines science leadership, cross-functional collaboration, communication, strategic thinking, organizational ability, technical strength, product focus and business understanding.Location: Not remote. This position will work from our San Bruno, CA or Hoboken, NJ office location. Relocation assistance will be provided if needed.Responsibilities• Perform hands-on modeling and complex analyses using Python, SQL and/or R• Build and enhance media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes• Experience in experimental design for use cases in Search and Display marketing, and experience building causal inference models• Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to Marketing leadership and CMO• Present media mix insights• Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems• Partner with cross-functional team to streamline data science solutions• Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization• Produce qualitative and quantitative dataMinimum Qualifications• Bachelor’s degree in statistics/mathematics, engineering, computer science, economics, or related field• 5+ years of industry experience in data, analytics, data science role• Experience in advertising measurement, including MMM, MTA, A/B testing, and Experiment Design• Experience in Causal inference modeling• Proficient coding skills (SQL/Python/R)• Deep knowledge on relational database capabilities• Experience in integrating, structuring, and analyzing large amounts of data from diverse sources• Strong project management skills and attend-to-detail documentation skills.• Experience with big data technologies (Spark, Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker, etc)• Strong written & verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story’ that provides insight into the business• You have a passion for working in a fast-paced agile environment.• A collaborative mindset and sense of curiosity Preferred Qualifications• Master’s or PhD degree in statistics/mathematics, engineering, computer science, economics, or related field• Knowledge and experience in building market mix and multi-touch attribution models• Knowledge and experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.• Knowledge and experience with advertising, measurement, and/or digital marketing analyticsAt 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-$216,000.00‎San Bruno, California US-08848: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...850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America
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What You Should Know About Data Scientist, Mid, Booz Allen Hamilton

Are you an experienced data wizard looking to make an impact in the retail advertising world? At Walmart Connect in Chesapeake, VA, we're on the hunt for a Mid Data Scientist who's ready to bring their skills to a team that's redefining how brands connect with customers. With over 60 years of retail leadership, Walmart is harnessing its unique position to fuel its growth strategy through innovative in-house advertising solutions. As a Mid Data Scientist, you'll leverage your expertise in statistical modeling, machine learning, and data analytics to drive media strategy and enhance advertiser performance. Imagine building predictive models and running optimization scenarios that directly influence marketing investments—it's a chance to turn complex data into actionable insights! In this vibrant environment, you'll partner with a cross-functional team to streamline data science solutions, educate clients on sophisticated modeling approaches, and present compelling narratives that tie data findings back to real business problems. If you thrive in a dynamic, fast-paced setting and have a passion for pushing analytical boundaries, we invite you to join us at Walmart Connect. Your journey towards crafting data-driven advertising solutions begins here!

Frequently Asked Questions (FAQs) for Data Scientist, Mid Role at Booz Allen Hamilton
What are the responsibilities of a Data Scientist at Walmart Connect?

As a Mid Data Scientist at Walmart Connect, you'll be responsible for performing hands-on modeling and complex analyses using languages like Python and SQL. Additionally, you'll work on building and enhancing media mix models, running optimization scenarios, and translating complex data insights into simple narratives for stakeholders. Collaboration with cross-functional teams will be key, as will your ability to integrate various data sources to derive actionable insights.

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What qualifications do I need to become a Data Scientist at Walmart Connect?

To qualify for the Mid Data Scientist position at Walmart Connect, candidates should hold a Bachelor’s degree in a field such as statistics, mathematics, or computer science, and possess a minimum of 5 years of industry experience in data analytics or data science. Proficiency in SQL, Python, and experience with media measurement and causal inference models are also essential for this role.

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What skill set is crucial for a Data Scientist working at Walmart Connect?

The ideal Data Scientist at Walmart Connect should have strong coding skills in SQL and Python, and be adept in utilizing statistical modeling and machine learning techniques. Experience in advertising measurement, A/B testing, and handling big data technologies is crucial. Excellent communication skills are necessary to explain complex concepts clearly to diverse audiences, ensuring that insights are understood and actionable.

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Is prior experience in advertising or digital marketing analytics necessary for a Data Scientist role at Walmart Connect?

Yes, prior experience in advertising measurement and digital marketing analytics is highly valued for the Mid Data Scientist role at Walmart Connect. Familiarity with marketing mix models, multi-touch attribution, and causal inference modeling will give candidates a competitive edge in this dynamic environment, where understanding how marketing tactics impact business performance is key.

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What opportunities for growth does Walmart Connect provide for Data Scientists?

Walmart Connect encourages professional development through various initiatives and programs. Data Scientists can seek mentorship, participate in advanced trainings, and tackle challenging projects that foster skill enhancement. The collaborative environment also allows for networking with top-tier professionals, providing ample opportunities for career progression within Walmart and the wider retail analytics industry.

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Common Interview Questions for Data Scientist, Mid
Can you explain a complex data modeling technique you’ve used in past projects?

When answering this question, you should describe a specific modeling technique, such as a predictive model or A/B testing. Detail the objectives, your methodologies, and the outcomes. Utilize clear language and draw connections between your modeling results and their impacts on business goals to showcase your technical proficiency as well as your ability to communicate complex concepts.

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How do you prioritize projects when facing tight deadlines?

Share your approach to project management by outlining your strategies for setting priorities. Mention how you'll assess deadlines, team resources, and project impact to effectively manage multiple tasks. Providing an example from your past experience can illustrate your time management skills and demonstrate how you navigate challenges successfully.

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What are the key aspects to consider when building a media mix model?

Discuss the importance of gathering relevant data, ensuring data quality, and selecting appropriate variables. Emphasize the need for understanding the business context and marketing objectives. Talk about your experience in creating models that consider both short-term and long-term marketing impacts, as well as how you evaluate model effectiveness after execution.

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Describe your experience with big data technologies and how you leverage them.

Mention specific technologies you are familiar with, such as Hadoop or Spark, and describe how you've utilized them in data collection or analysis processes. Highlight how these tools have enabled you to handle large datasets, streamline analytics processes, or derive insights that inform strategic decisions.

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How do you ensure that your data analysis is aligned with business objectives?

Explain your approach to understanding stakeholder requirements and the business context before diving into analysis. Discuss your strategy for aligning your analytical methods with the overall goals, and how you communicate findings that drive actionable insights in alignment with the company's strategic direction.

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What is your process for communicating complex findings to non-technical stakeholders?

Describe your techniques for simplifying complex data insights. Discuss the importance of using clear, straightforward language, visual aids, and storytelling approaches to make your findings relatable. Providing an example of a situation where you successfully communicated complex data can strengthen your response.

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Can you give an example of how you've dealt with missing or inconsistent data?

Talk about your strategies for assessing data integrity issues. Discuss techniques like imputation, alternative data sourcing, or bias evaluation you've used in previous roles. Illustrating a real-world example where your approach led to successful outcomes can help demonstrate your analytical skills.

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What metrics do you consider most important when evaluating marketing performance?

Discuss metrics such as return on investment (ROI), customer acquisition cost (CAC), and conversion rates. Explain how these metrics provide insights into the effectiveness of marketing strategies and your experience with analyzing them to inform campaign optimizations.

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What attracted you to pursue a career in data science at Walmart Connect?

When addressing this question, share your passion for data and how you admire Walmart Connect's innovative approach to retail marketing. Speak about your desire to be part of a company that leverages vast amounts of data to make strategic decisions and how you intend to contribute to its growth.

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How do you stay updated with the latest trends and advancements in data science?

Talk about your commitment to continuous learning and professional development. Describe how you follow industry publications, attend workshops, participate in webinars, or engage with communities and forums that focus on data science. Mention any specific resources that have significantly contributed to your knowledge.

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