Staff Data Scientist

Walmart•Sunnyvale, CA

2d•Onsite

About The Position

What you'll do... Position: Staff Data Scientist Work Location: 1375 Crossman Avenue, Sunnyvale, CA 94089 Duties: Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness. 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.

Requirements

Master’s degree or equivalent in Statistics, Economics, Business Analytics, Mathematics, Computer Science, Information Technology, or related field and 2 years 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 4 years of experience in an analytics related field.
Experience with Python, R, Julia.
Experience with data manipulation and analysis libraries including Pandas and NumPy.
Experience with machine learning frameworks: TensorFlow, PyTorch, Scikit-learn.
Experience with statistical modeling, causal models, and experimental design.
Experience with communication and visualization including data visualization tools Tableau and Power BI.
Experience with optimization theory, the inner workings of neural networks, and attention architecture.
Experience with GenAI, LLM prompt engineering, Fine Tuning using LoRa/QLoRa, and Vector Database.
Experience working collaboratively with cross-functional teams and stakeholders.
Experience with cloud computing platforms: AWS, GCP.
Experience working with tech leadership.
Experience defining problems, models, and constraints from informal and flexible business requirements.
Employer will accept any amount of experience with the required skills.

Responsibilities

Drives the execution of multiple business plans and projects by identifying customer and operational needs
developing and communicating business plans and priorities
removing barriers and obstacles that impact performance
providing resources
identifying performance standards
measuring progress and adjusting performance accordingly
developing contingency plans
demonstrating adaptability and supporting continuous learning.
Provides supervision and development opportunities for associates by selecting and training
mentoring
assigning duties
building a team-based work environment
establishing performance expectations and conducting regular performance evaluations
providing recognition and rewards
coaching for success and improvement
ensuring diversity awareness.
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.

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.

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