Senior Data Scientist/Python/Generative AI

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Job description

Senior Data Scientist/Python/Generative AI

Midtown New York City, NY (Hybrid 2-3 Days in a week)

12+ Months

Web Cam Interview

$50-$55/Hr on W2

We need:

A Junior (2+ Years) to Mid-level Data scientist with experience working with Python for data analysis and visualization, Data Science, NLP, and Generative AI.

Candidates must have Long Projects/Good Tenure, Excellent communication skills.

1. How many years working with: Data Scientist

2. How many years working with: Python

3. How many years working with: Data Visualization

4. How many years working with:

5. How many years working with:

Job Description:

New contract role at Client. Proficiency in Python for data analysis and visualization, Data Science, NLP, and Generative AI.

Only need a 2+ years of experience. Based in their NYC midtown office 2-3x a week:

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 data-driven decision-making 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 non-structured 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 cross-functional 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 stand-ups, and retrospectives.

Requirements:

Bachelor's or Master's 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 non-technical stakeholders.

Experience in business analysis and working in an Agile framework.

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