Danta Technologies

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Malvern, PA, with a contract length of 1+ year at $50/hr on W2. Key skills include Sagemaker, XGBoost, Python, and SQL. Product marketing experience is beneficial.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
400
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🗓️ - Date
January 17, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Malvern, PA
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🧠 - Skills detailed
#Python #SQL (Structured Query Language) #SageMaker #Data Science
Role description
Location: Malvern, PA (onsite day 1 for hybrid model) Duration: 1+ year (likely to be extended multiple years) Rate: $50/hr on W2 JOB DETAILS We are seeking a skilled Data Scientist to analyze large amounts of raw information to identify trends, build predictive models, and support data-driven decision-making. The ideal candidate should have strong analytical skills, experience with statistical modeling, and the ability to communicate insights clearly to both technical and non-technical stakeholders. • Role objective is to create new set of models for multiple different products • Product Marketing background would be beneficial to have • Sagemaker, XGBoost, Python, SQL (all required) Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law. The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.