(USA) Staff Data Scientist - Machine Learning

Key Skills

Java Programming, Python Programming, SQL, Scala Programming, Machine learning techniques, Data science techniques, Bayesian networks, Google BigQuery, Deep Learning, Natural Language Processing (NLP), NoSQL, PyTorch, TensorFlow, Apache Hive, Scikit-learn, R Programming, Data Modelling, SPARK Programming, Neural Networks, Data Engineering, Large data sets, Random forests, VR/AR frameworks

Job Description

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.

You will have the opportunity to?do your?best work?while unlocking?vast?business?opportunity?by?extracting key insights, using pattern recognition to develop predictive analytics, and translating results into goal-oriented business actions.?Each day, you?will be presented with a variety of new challenges and interesting projects that tap your interests and strengths.?This isn’t analyst work; you’ll be leveraging data science methods, including AI and machine learning in an incredibly dynamic and engaging environment.

Desired Skills and Experience:

• 5+ years of relevant Data Science experience
• Bachelor of Science and 5 years' data science experience OR Master of Science and 3 years' data science experience.
• Supervised and unsupervised machine learning.
• Model governance.
• Model monitoring.
• Strong production deployment background.
• Strong in Python coding.
• NLP and or Deep Learning skills.
• Cloud Experience.
• Mentoring and leading junior data scientists.

Plusses:

• Ph.D candidates.
• Retail experience.
• Full Machine Learning lifecycle projects (from exploratory data analysis to model deployment and monitoring).
• Ability to translate result sets into actionable insights that is understandable by a business audience.
• Experience with Google Big Query.

Day-to-Day:

• Responsible for analyzing large data sets to develop custom models and algorithms to drive business solutions.
• Building large data sets from multiple sources to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets.
• Training the algorithms so they can be applied to future data sets and provide the appropriate search results.
• Researching new trends in the industry and utilizing up-to-date technology.
• Conduct advanced statistical analysis to determine trends and significant data relationships.
• Build learning systems to analyze and filter continuous data flows and offline data analysis
• Depending on the problem, build time Series, computer vision, NLP or basic predictive models. 

You’ll make an impact by:??

• Advising on?analysis?and?modeling techniques,?selecting the?best fit?for structured?& unstructured, complex data,?and developing?custom analytics models?to?generate insights that drive value for our customers and?unlock competitive advantage for?our organization. 
• Collaborating with our data engineers?to?gather?the right?information from?our?various sources?so that you can?implement advanced statistical methodologies?and design interventions to optimize how our business can best perform. 
• Conducting?exploratory?analysis?including hypothesis testing,?statistical inference, and statistical analysis (predictive?and/or prescriptive). 
• Partnering with business and technical stakeholders to translate?challenging retail?business problems?into?state-of-the-art data science?solutions.?

• Developing processes and tools?that?monitor,?analyze?and continuously improve?model performance and data accuracy.?

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 try new techniques quickly with quality. 

• 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.
• You have a proven ability with statistical methods and advanced modelling techniques (e.g., SVM, Random Forest, Bayesian inference, graph models, NLP, Computer Vision, neural networks, etc.).
• You’re?experienced?with languages?used?to manipulate data and draw insights from large data sets?(e.g.?Python, R, SQL, etc.).
• You’re?proficient?using?database technologies and distributed datastores (e.g. SQL, NoSQL)

• You?have experience?with?Spark,?Hive?and TensorFlow etc.
• You’re experienced in participating and/or running a model governance organization (MGO).

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 duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.?

Benefits & Perks:?

Beyond competitive pay, 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.?

Who We?Are

Join Walmart and your work could help over 275?million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement.? From day one, you’ll be empowered and equipped to do the best work of your life.?

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 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 field

As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.

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)