

Senior Data Scientist - ML, Python
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist in Jersey City, NJ, with a contract length of "unknown" and a pay rate of "unknown." Key skills include ML, Python, and expertise in Capital Markets. H1B/H4-EAD visa required.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 8, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Jersey City, NJ
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π§ - Skills detailed
#Web Services #Databases #Statistics #Retool #Tableau #S3 (Amazon Simple Storage Service) #Spark (Apache Spark) #Redshift #Clustering #QlikView #Datasets #Regression #Data Reconciliation #Neural Networks #ML (Machine Learning) #Python #Leadership #Data Processing #Data Quality #AI (Artificial Intelligence) #R #SQL (Structured Query Language) #MySQL #Data Mining #Data Science #Hadoop #BI (Business Intelligence) #"ETL (Extract #Transform #Load)"
Role description
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Hi
I hope you are doing well.
We have an urgent position listed below. Please send your most recent resume along with the expected rate if you are interested.
Job Role: Senior Data Scientist - ML, Python
Location: Jersey City, NJ (Onsite)
Visa: H1B/H4-EAD with PP number & USC
Job Description:
Β· AI/ML Development: Build predictive models and machine-learning algorithms.
Β· Expertise with data reconciliations, data quality, large data processing, and controls
Β· Expertise leading large-scale Enterprise Transformation initiatives with a clear track record of success.
Β· Ability to articulate intricacies of Technology Architecture
Β· Deep functional and technical experience in Capital Markets across Front Office, Middle Office, Operations, Risk & Finance.
Β· Demonstrated leadership, management, and development skills.
Β· Experience with predictive analytics using large and complex datasets.
Β· Enthusiastic about AI and ML optimisations and open-source technologies.
Β· Familiar with the following software/tools:
o Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc.
o Experience querying databases and using statistical computer languages: R, Python, and SQL.
o Experience using web services: Redshift, S3, Spark
o Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
o Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL
o Experience with BI tools: Tableau, QlikView.
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Thanks & Regards
Ritik Sahu || Raas Infotek
Direct No: 302 286 9939 Ext: 109
Email: ritik.sahu@raasinfotek.com
LinkedIn:https://www.linkedin.com/in/ritik-sahu-745129193/