Position: Senior Data Scientist
Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089
Duties: Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices. Develop custom data models to drive innovative business solutions. Build complex data sets from multiple data sources, both internally and externally. 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. Train algorithms to apply models to new data sets. Validate models and algorithmic techniques. Scale new algorithms to large data sets. Combine data features to determine search models. Research new techniques and best practices within the industry. Utilize system tools including (MySQL, Hadoop, Weka, R, Matlab, ILog). Responsible for analyzing large data sets to develop custom models and algorithms to drive business solutions. Work on project teams in order to provide analytical support to projects (for example, email targeting, business optimization, consumer recommendations) for Walmart eCommerce. Responsible for building large data sets from multiple sources in order to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets. Responsible for training the algorithms so they can be applied to future data sets and provide the appropriate search results. Responsible for researching new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support their assigned project. Work with cross-functional partners across the business. Develop models of current state in order to determine needed improvements.
Minimum education and experience required: Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year of experience in an analytics related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years of experience in an analytics related field.
Skills required: Experience implementing NLP techniques to derive insights from text data. Experience coding in one of the following programming languages for data manipulation, analysis, and modeling: Python, R, or SQL. Experience designing and implementing deep learning models including CNNS, RNNS, and Transformers using scikit-learn or TensorFlow. Experience implementing REST API using Python. Experience performing Data Manipulation and Analysis using Pandas or dplyr. Experience performing data visualization via Matplotlib or Ggplot. Experience implementing web scraping techniques using Beautiful Soup, Selenium, or Scrapy to collect data from websites. Experience handling large volumes of data efficiently. Experience designing and implementing Data Augmentation techniques. Experience performing clustering and unsupervised techniques. Experience accurately and efficiently assigning relevant labels to different data points. Experience with Big Data technologies including Spark, Hive, and Hadoop. Employer will accept any amount of graduate coursework, graduate research experience or professional experience with the required skills.
Salary Range: $144,075/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives. Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) and Stock equity incentives.
Benefits: At Walmart, we offer competitive pay as well as performance-based incentive 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, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.
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.com.
Wal-Mart is an Equal Opportunity Employer.
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