W2 Data Scientist in NYC
W2 Data Scientist in NYC
Posted on :
20-10-2024
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Job Description
Data Scientist
Hybrid to NYC 3 days/week
Contract
Job Description: We are seeking a highly skilled and motivated Senior Data Scientist to join our team. As a Data Scientist you will play a crucial role in analyzing complex data using statistical and machine learning models providing valuable insights and driving datadriven decisionmaking processes. The ideal candidate will have a strong background in mathematics statistics and machine learning along with proficiency in Python data analysis and visualization API ecosystem Linux OS structured and nonstructured databases big data technologies (Databricks Spark) and cloud services.
Responsibilities:
Analyze complex data using statistical and machine learning models to derive actionable insights.
Utilize Python for data analysis visualization and working with APIs Linux OS databases big data technologies and cloud services.
Develop innovative solutions for natural language processing and generative modeling tasks using NLP Generative AI and LLMs.
Collaborate with crossfunctional teams to understand business requirements and translate them into data science solutions.
Communicate findings and insights effectively to stakeholders. Apply strong communication skills and experience in business analysis.
Work in an Agile framework participating in sprint planning daily standups and retrospectives.
Requirements:
Bachelors or Masters degree in a quantitative field.
Proven experience in data analysis statistical modeling and machine learning techniques.
Proficiency in Python for data analysis and visualization along with experience in working with APIs Linux OS databases big data technologies and cloud services.
Strong understanding and experience with NLP Generative AI and LLMs.
Excellent communication skills with the ability to convey complex findings to both technical and nontechnical stakeholders.
Experience in business analysis and working in an Agile framework.
Prior experience in the financial industry is preferred.
Employment Type
Full Time
Key Skills
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