PriceSenz

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist IV on a 6-month contract, fully remote, with a pay rate of "unknown." Key skills include machine learning, SQL, Python, R, and experience in propensity modeling. A degree in a related field is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
December 17, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Data Analysis #Mathematics #Predictive Modeling #Data Engineering #Data Science #R #Data Modeling #ML (Machine Learning) #Python #SQL (Structured Query Language) #Statistics #Computer Science
Role description
Job Title: Data Scientist IV Location: Fully Remote (US – Eastern or Central Time Zones Preferred) Employment Type: Contract Duration: 6 Months (with potential extension) Work Schedule: Monday–Friday | 8:00 AM – 5:00 PM Start Date: ASAP Job Summary We are seeking a highly experienced Data Scientist IV to support strategic marketing and analytics initiatives in a fast-paced, competitive environment. This role focuses heavily on propensity modeling, advanced analytics, and data-driven decision-making across multiple initiatives rather than a single fixed project. The ideal candidate brings a strong background in machine learning, statistical analysis, SQL, and data modeling, along with the ability to translate complex insights into actionable business outcomes. Key Responsibilities β€’ Develop, maintain, and optimize propensity models, including: β€’ Propensity to Buy β€’ Propensity to Churn β€’ Propensity to Non-Pay β€’ Apply machine learning and statistical techniques to solve complex business problems β€’ Perform advanced data analysis, data coding, and data modeling β€’ Collaborate with data engineering and cross-functional teams to support analytics initiatives β€’ Translate analytical findings into clear insights for stakeholders β€’ Support multiple concurrent projects in a feedback-driven environment β€’ Present findings and recommendations to technical and non-technical audiences Required Qualifications β€’ Bachelor’s degree or higher in Data Science, Statistics, Mathematics, Computer Science, or related field β€’ Strong experience in machine learning and predictive modeling β€’ Proven experience building and maintaining propensity models β€’ Advanced SQL skills β€’ Proficiency in Python and R β€’ Strong statistical and analytical background β€’ Excellent communication and presentation skills β€’ Ability to work independently in a fully remote environment Preferred Qualifications β€’ Experience supporting marketing analytics or customer analytics initiatives β€’ Telecom industry experience is a plus but not required β€’ Experience working across multiple analytics projects simultaneously Additional Details β€’ Work Mode: Fully Remote (Onshore Only) β€’ Equipment: Laptop will be provided β€’ Interview Process: β€’ Microsoft Teams interview β€’ Up to 2 rounds β€’ Approx. 30 minutes per interview β€’ Travel: None β€’ Overtime: May be required based on project needs If this opportunity interests you, Apply now PriceSenz is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, or disability.