Staff Data Scientist

Walmart•Sunnyvale, CA

2d•Onsite

About The Position

What you'll do... Position: Staff Data Scientist Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089 Duties: 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). Develop multiple custom data models to drive innovative business solutions. Translate business needs into data requirements. Collaborate with cross-functional partners across the business. Interpret data to identify trends to go across future data sets. Collaborate with project teams to implement data modeling solutions. Develop models of current state in order to determine improvements needed. Responsible for analyzing large data sets to develop multiple custom models and algorithms to drive innovative business solutions. Work on large project teams in order to provide analytical support and guidance to an assigned are on for large projects (for example, email targeting, business optimization, consumer recommendations) within 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. Act as the subject matter experts for statistical analysis and modeling for their project team. Minimum education and experience required: Master’s degree or equivalent in Statistics, Economics, Analytics (any), Mathematics, Computer Science, Information Technology or related field and 2 years of experience in analytics related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics (any), Mathematics, Computer Science, Information Technology or related field and 4 years of experience in analytics related field. Skills required: Experience using SQL to extract the data and performing analysis on it. Experience using Python to build ML models and other complex analysis that cannot be done using SQL. Experience using Tableau to create dashboards to visually represent the trend of key metrics. Experience utilizing A/B testing methodologies to evaluate the impact of new product launches. Experience using basic calculations and quick adhoc analysis using MS Excel. Experience developing Machine Learning models to predict customer behavior and recommending optimized spending strategies. Experience performing ETL operations to create structured tables from raw unclean data sources. Experience utilizing Quasi-experimental techniques when A/B tests and not feasible to measure product launches. Experience defining KPIs including activation, retention, churn, and feature adoption. Experience identifying high-impact cohorts and tailor product strategies accordingly. Experience predicting product usage, growth, and impact of future launches. Employer will accept any amount of experience with the required skills. Salary Range: $172,170/year to $286,000/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 Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment. About Walmart: Fifty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world's biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we're reinventing the shopping experience and our associates are at the heart of it. You'll play a crucial role in shaping the future of retail, improving millions of lives around the world. This is that place where your passions meet purpose. Join our family and create a career you're proud of.

Requirements

Master’s degree or equivalent in Statistics, Economics, Analytics (any), Mathematics, Computer Science, Information Technology or related field and 2 years of experience in analytics related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics (any), Mathematics, Computer Science, Information Technology or related field and 4 years of experience in analytics related field.
Experience using SQL to extract the data and performing analysis on it.
Experience using Python to build ML models and other complex analysis that cannot be done using SQL.
Experience using Tableau to create dashboards to visually represent the trend of key metrics.
Experience utilizing A/B testing methodologies to evaluate the impact of new product launches.
Experience using basic calculations and quick adhoc analysis using MS Excel.
Experience developing Machine Learning models to predict customer behavior and recommending optimized spending strategies.
Experience performing ETL operations to create structured tables from raw unclean data sources.
Experience utilizing Quasi-experimental techniques when A/B tests and not feasible to measure product launches.
Experience defining KPIs including activation, retention, churn, and feature adoption.
Experience identifying high-impact cohorts and tailor product strategies accordingly.
Experience predicting product usage, growth, and impact of future launches.
Employer will accept any amount of experience with the required skills.

Responsibilities

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).
Develop multiple custom data models to drive innovative business solutions.
Translate business needs into data requirements.
Collaborate with cross-functional partners across the business.
Interpret data to identify trends to go across future data sets.
Collaborate with project teams to implement data modeling solutions.
Develop models of current state in order to determine improvements needed.
Responsible for analyzing large data sets to develop multiple custom models and algorithms to drive innovative business solutions.
Work on large project teams in order to provide analytical support and guidance to an assigned are on for large projects (for example, email targeting, business optimization, consumer recommendations) within 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.
Act as the subject matter experts for statistical analysis and modeling for their project team.

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.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume