(USA) Data Scientist

Key Skills

Java Programming, Python Programming, SQL, Deep Learning, Keras software library, PyTorch, TensorFlow, R Programming, SPARK Programming, S-Plus

Job Description

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? The mammoth scale and volume of our global data is virtually limitless. As a data scientist, 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 a wide range of advanced statistical models and machine learning 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.

The Store Associate Technology Data Science and Data Engineering Team is hiring Data Scientists to join our team of data scientists and data engineers. Our team chartered with developing statistical and machine learning systems and building a robust platform to enable the application of data science to in-store technology. We work closely with each other, software developers from other teams, and the business stakeholders. Data scientists in our team participate in the full life cycle of model development, which spans from business problem discovery to model deployment and monitoring.

You’ll make an impact by:?

Participating in the full life cycle of model development, which spans from business problem discovery, data discovery to model deployment and monitoring.

Specifically, you will

• Work with business stakeholders to understand the business requirements and the data available to solve the corresponding problems
• Translate the business requirements to a problem that can be solved using statistical and/or machine learning techniques
• Build datasets from different sources for data analysis and model development, which will include wrangling, cleaning, and pre-processing data
• Conduct exploratory data analysis to understand the patterns and potential business insights exhibited in the data
• Create data visualization to summarize the insights discovered during the data analysis and communicate them to internal team members and business stakeholders
• Develop statistical and machine learning models to solve business problems and derive actionable business insights
• Work with data engineers to test and validate training and production data pipelines, among other tasks
• Help deploy models in various formats
• Derive metrics for model performance monitoring and conduct continuous model performance monitoring (after deployment)
• Present insights discovered from data analysis and statistical/machine learning modeling and make recommendation based on the results to internal team members and business stakeholders
• Be proactive and take ownership of the projects and tasks assigned
• Provide and support the implementation of business solutions
• Collaborate with other data scientists and data engineers in our team
• Own components of a data science project
• Coach junior team members and share knowledge with the broader team
• Continue to widen and deepen data science and engineering skillsets
• Live by our Company culture and values
• Adhere to model compliance with company policies and procedures, and supporting company mission, values, and standards of ethics and integrity

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 have proven industry experience of designing, leading, and managing large-scale data science projects and collaborating with data engineers
• 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 very strong understanding of the fundamental concepts of popular statistical and machine learning models
• You’re experienced with general programing, statistical languages, and deep learning packages used to manipulate data and build statistical and machine learning models at a large scale, such as Python, R, Spark, PyTorch, Tensorflow, Keras, SQL, and SQL-like query languages for NoSQL databases
• You’re proficient using database technologies, distributed datastores, and cloud computer (e.g. GCP)
• You are organized and have excellent verbal and written communication skills and presentation skills

Minimum Qualifications

• Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field.
• Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field.
• Option 3: 4 years' experience in an analytics or related field.

Additional Preferred Qualifications

• Master’s or Doctoral degree in Computer Science (with a focus in Data Mining, Machine Learning and at least one of its disciplines, such as Natural Language Processing and Computer Vision), Statistics, Econometrics, Computational Neuroscience, Operational Research, Physics, or any other quantitative disciplines that require processing and modeling data at a large scale
• 2+ years of relevant industry experience
• Proficient in Python, SQL, Spark, the associated Python and Spark packages commonly used by data scientists, and Deep Learning libraries, such as Tensorflow, Keras, and PyTorch
• Proficient in other languages, such as R, used in data science is a plus
• Strong understanding of and practical experience in a wide-range of machine learning algorithms
• Good understanding of and practical experience with statistical modeling
• Practical experience of using cloud computing
• Experience working with large structured and unstructured datasets
• Working knowledge of relational and NOSQL databases
• Basic knowledge of data engineering is a plus
• Certificates earned in data mining, machine learning, deep learning, statistical modeling, cloud computing, and data engineering is a plus
• Interested in applying data science to solving retail-related problems
• Strong verbal and written communication skills

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.?