Posted:
11/21/2024, 9:36:04 AM
Location(s):
Ontario, Canada ⋅ Mississauga, Ontario, Canada
Experience Level(s):
Senior
Field(s):
Data & Analytics
1. Data Source Identification: Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data.
2. Conduct exploratory data analysis and identify the dimensions of the experiment, finalize the design, test hypotheses and conduct experiments
3. Analytical Modeling: Selects the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models
4. Model Assessment & Validation: Identifies the model evaluation metrics. Applies best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles
5. Translates business requirements into projects, activities, and tasks and aligns to overall business strategy
6. Serves as an interpreter and conduit to connect business needs with tangible solutions and results
7. Execute projects from start to finish by taking a lead role in discovery, solution design, model build and communicating results with stakeholders
8. Recommends new processes and ways of working
9. Presents to and influences the team and business audience using the appropriate frameworks and conveys clear messages through business and stakeholder understanding
What you’ll bring:
You have a bachelor's degree and at least three years of experience as a data scientist.
Graduate degree (Masters, or PhD) preferred.
Strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform (Python, R, SQL, Spark, Hive etc.).
Have strong knowledge of Statistics and Machine Learning algorithms.
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 connect the how and why, using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose.
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Age – 16 or olderOutlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Walmart will accommodate the disability-related needs of applicants and associates as required by law.
Primary Location…
1940 Argentia Rd, Mississauga, ON L5N 1P9, CanadaWebsite: http://www.walmart.com/
Headquarter Location: Bentonville, Arkansas, United States
Employee Count: 10001+
Year Founded: 1962
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: E-Commerce ⋅ Grocery ⋅ Retail ⋅ Retail Technology ⋅ Shopping