WorkGenius Group

Data Scientist II

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist II in Culver City, CA, for 12 months, with an hourly rate based on experience. Requires a Bachelor's or Master's degree in data science, proficiency in SQL and Python or R, and digital marketing analytics expertise.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
512
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πŸ—“οΈ - Date
May 15, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Culver City, CA
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🧠 - Skills detailed
#Data Analysis #Unsupervised Learning #Python #Visualization #SQL (Structured Query Language) #ML (Machine Learning) #Statistics #Supervised Learning #Data Science #Forecasting #R
Role description
Title: Data Scientist II Industry: Tech Location: Culver City, CA Duration: 12 months Responsibilities β€’ Build and maintain machine learning models, forecasting tools, and optimization frameworks β€’ Analyze marketing performance and identify trends to improve campaign effectiveness β€’ Conduct causal analysis to evaluate the impact of marketing initiatives β€’ Develop models to measure upper-funnel marketing performance across diverse data sources β€’ Collaborate with cross-functional teams to solve business problems using data Requirements β€’ Bachelor’s degree with 3+ years of experience, or Master’s degree with 2+ years in data science or related field β€’ Strong foundation in statistics, probability, and machine learning techniques β€’ Proficiency in SQL and Python or R for data analysis β€’ Experience with supervised and unsupervised learning methods β€’ Understanding of digital marketing data and KPIs (e.g., social, SEO, paid media) Skills β€’ Data Science β€’ Machine Learning β€’ Causal Analysis β€’ Marketing Performance β€’ Statistical Analysis β€’ SQL β€’ Python β€’ Data Visualization β€’ Digital Marketing β€’ Analytical Skills Hourly rate is commensurate with experience and is an estimated range provided by WorkGenius. ref\_id: 34755934-4182-4f5b-a324-b304ab950680