Jobs via Dice

Urgent Hiring - Data Scientist - Palo Alto, CA - Onsite - Contract - Need Only Local Candidates

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Palo Alto, CA, offering a 12+ month contract. Key skills include advanced Python or R, machine learning for telecom, and experience with large datasets. Azure experience is preferred. Local candidates only.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
December 18, 2025
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
Palo Alto, CA
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🧠 - Skills detailed
#Anomaly Detection #Supervised Learning #Hadoop #ML (Machine Learning) #NLP (Natural Language Processing) #Customer Segmentation #Programming #Python #Jupyter #Data Processing #R #Spark (Apache Spark) #Datasets #Unsupervised Learning #Azure #Data Science #Statistics
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Promantus, Inc, is seeking the following. Apply via Dice today! Hi Job Seekers / Bench Sales / Employers , Hope you are doing well..! Below are the requirements that are currently Open. Please share some good profiles with me Position: Data Scientist Location: Palo Alto, CA Duration: 12+months Contract Job Details:Programming Languages: Advanced proficiency in Python (preferred) and/or R; experience with Jupyter notebooks. Text Preprocessing: Expertise in processing noisy, unstructured text from various data sources Machine Learning: Solid foundation in supervised and unsupervised learning, with applications to telecom problems (e.g., anomaly detection, predictive maintenance, customer segmentation). Data Handling: Proficient in handling large-scale, high-velocity telecom datasets; experience with distributed data processing (Spark, Hadoop) is a plus. Evaluation: Design and interpret experiments to evaluate NLP models, including error analysis and business impact assessment. Statistical Analysis: Strong understanding of statistics and probability as applied to telecom service quality and customer experience. Azure Experience Preferred Thanks Aarif Promantus Inc