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Boliden

Senior, Data Scientist - Marketing Decision Science @ Boliden

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Full Time

Position Summary...

What you'll do...

Are you a hardcore numbers person who would enjoy solving some of business’ toughest challenges by illuminating phenomena and opportunity held within one of the world’s largest data sets? 

As a Staff Data Scientist at Walmart, the mammoth scale and volume of our global data is virtually limitless. You will create insights that influence how we make decisions that have impact at an unprecedented scale.  

About Us:

The Marketing Decision Science team focuses on developing data-driven models and services to bringing high-quality demand from offsite digital sites to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce and ultimately cultivate a large loyal base of omni-channel customers who view Wal-Mart as their top choice of retail shopping.

We are a highly motivated group of Big Data Geeks, Machine Learning Scientists, and Applications Engineers, working in a small agile group to solve sophisticated and high-impact problems. We are building smart data systems that ingest, model, and analyze massive flow of data from online and offline user activity. We use cutting-edge machine learning, data mining, and optimization algorithms on marketing campaign optimization.

You’ll make an impact by:   

  • Processing complicated and large-scale datasets using distributed computing platform, extracting insights from data, predicting future trends, and optimizing business metrics.
  • Building advanced machine learning and deep learning models with various applications in marketing, such as recommendation and page content improvement on millions of pages.
  • 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.
  • Building compelling data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.

You’ll sweep us off our feet if…  

  • 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 

Minimum Qualifications

  • Master’s degree in computer science, Statistics, Optimization or related field plus 4 years' experience in a machine learning/deep learning related field.
  • 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 Natural Language Processing/LLM.
  • Experienced with end-to-end modeling projects emerging from research efforts.
  • Strong written and oral communication skills.

Preferred Qualifications

  • Ph.D. degree in Computer Science, Statistics, Optimization, or related field plus 2 years' experience in a machine learning related field.
  • 2+ years of experience mentoring junior data scientists.
  • Industrial experience in search engine optimization, computational advertisement, recommendation systems, e-commerce, or relevant areas.
  • Proficient in at least one programming language (Java/Python/Scala etc.) and experience in productionizing industry-scale machine learning models

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 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.

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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.

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

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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.

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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.

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

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The annual salary range for this position is $117,000.00-$234,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- Stock

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Minimum 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, 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)

Primary Location...

860 W California Avenue, Sunnyvale, CA 94086-0000, United States of America
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