MeeBoss
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a long-term contract (12+ months) at Walmart Lab, offering remote work. Candidates must have strong coding and statistical modeling skills, particularly in Bayesian modeling, and possess a recent PhD or 3-5 years of industry experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
August 2, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Time Series #Data Science #Python
Role description
Client: Walmart Lab.
Title: Data Scientist
Location: Remote
Duration: Long term contract (12+ Months Contract).
Visa: USC, GC, GC EAD, H4 EAD, H1B.
Chinese/Asian candidates Only
Notes
• This is a highly technical, hands-on modeling role. We're looking for someone who enjoys building statistical models from first principles (Bayesian Modeling, MCMC, Probabilistic Modeling, Python), rather than primarily applying existing MMM packages or AutoML solutions.
Ideal Candidate Profile
• Recent PhD or postdoctoral candidates (or within approximately 2 years of marketing experience) with exceptionally strong coding and statistical modeling skills, particularly in Bayesian modeling, who are interested in applying those skills to marketing measurement.
• Experienced industry Data Scientists (roughly 3-5 years of experience), preferably with backgrounds in Marketing Measurement, Marketing Science, MMM, Causal Inference, Econometrics, or Time Series Modeling. Candidates located outside the highest cost-of-living markets are likely to be a better fit for this budget.
rajeshgensollinc@gmail.com
Client: Walmart Lab.
Title: Data Scientist
Location: Remote
Duration: Long term contract (12+ Months Contract).
Visa: USC, GC, GC EAD, H4 EAD, H1B.
Chinese/Asian candidates Only
Notes
• This is a highly technical, hands-on modeling role. We're looking for someone who enjoys building statistical models from first principles (Bayesian Modeling, MCMC, Probabilistic Modeling, Python), rather than primarily applying existing MMM packages or AutoML solutions.
Ideal Candidate Profile
• Recent PhD or postdoctoral candidates (or within approximately 2 years of marketing experience) with exceptionally strong coding and statistical modeling skills, particularly in Bayesian modeling, who are interested in applying those skills to marketing measurement.
• Experienced industry Data Scientists (roughly 3-5 years of experience), preferably with backgrounds in Marketing Measurement, Marketing Science, MMM, Causal Inference, Econometrics, or Time Series Modeling. Candidates located outside the highest cost-of-living markets are likely to be a better fit for this budget.
rajeshgensollinc@gmail.com
