Senior Data Scientist

Job description

What you'll do...

Position: Senior Data Scientist

Job Location: 850 Cherry Avenue, San Bruno, CA 94066

Duties: 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).

A Data Scientist is responsible for analyzing large data sets to develop custom models and algorithms to drive business solutions.

Data Scientists work on project teams in order to provide analytical support to projects (for example, email targeting, business optimization, consumer recommendations) for Walmart eCommerce.

Data Scientists are 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.

Data Scientists are responsible for training the algorithms so they can be applied to future data sets and provide the appropriate search results.

Data Scientists are 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 with Python and R, and experience in one of the following libraries/frameworks: Pandas, or Scikit-learn.

Experience implementing advanced statistical models and cutting-edge Machine Learning algorithms on fast-moving structured and unstructured data.

Experience with SQL and Python, and manipulating large quantities of data to drive business decisions.

Experience with the following statistical concepts and techniques: Leading hypothesis testing, Bayesian inference, and causality projects.

Demonstrated knowledge with quasi-experiment techniques or causal models where controlled experiments are not applicable.

Demonstrated knowledge in Time Series Forecast.

Demonstrated knowledge in building and applying customer segmentation that enables actionable results.

Experience communicating findings and insights to stakeholders through clear and concise reports, visualizations and presentations.

Experience in taking ownership of the whole project and communicating with cross-functional teams to align progress and collaborate on integrations.

Experience guiding and mentoring junior data scientists on modeling process and algorithm and fostering a collaborative and innovative work environment.

Experience in establishing partnerships with business leaders across an organization and communicating relevant insights and complex information in simple form to inform key strategy and investment decisions.

Employer will accept any amount of experience with the required skills.

Salary Range: $133,952/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.

#LI-DNI #LI-DNP

Required Skill Profession

Mathematical Science Occupations