Senior Data Scientist/Python/Generative AI
4 days ago
Midtown New York City, NY (Hybrid 2-3 Days in a week)
12+ Months
Web Cam Interview
$50-$55/Hr on W2
We need:
- 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.
- 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.
- 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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