Senior Data Analyst
4 weeks ago
Key Responsibilities:
- Data Analysis and Modeling: Use Python, SQL, and related tools to design, build, and deploy machine learning and deep learning models addressing business challenges.
- Natural Language Processing: Apply advanced NLP techniques with libraries like SpaCy, NLTK, and Transformers for tasks like text classification, sentiment analysis, and named entity recognition.
- Computer Vision: Implement computer vision solutions analyzing and interpreting visual data.
- Data Visualization: Create visualizations and dashboards to effectively communicate insights using tools like Matplotlib and Seaborn.
- MLOps: Develop and manage MLOps pipelines for model deployment and monitoring using AWS, Docker, and FastAPI.
- Generative AI and RAG: Work on generative AI models and retrieval-augmented generation (RAG) techniques, leveraging frameworks such as LangChain and Hugging Face.
- Vector Databases and Multi-Model Approaches: Utilize vector databases and multi-vector methods to enhance retrieval and similarity tasks.
- Knowledge Graphs and Advanced RAG: Incorporate knowledge graphs and advanced RAG strategies for improved data retrieval and information extraction.
- Collaboration: Work with product managers, engineers, and other stakeholders to convert business requirements into technical solutions.
- Communication: Communicate findings clearly to both technical and non-technical audiences.
Basic Qualifications:
- Bachelor's degree in Computer Science, Data Science, or a related field.
- 3-6 years of professional experience in data science or a similar role.
- Proficiency in Python and SQL.
- Solid experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with NLP techniques and tools (e.g., SpaCy, NLTK).
- Hands-on experience in data visualization and interpretation.
- Basic understanding of MLOps practices and tools (e.g., AWS, Docker).
- Familiarity with generative AI models and RAG techniques.
- Knowledge of vector databases and multi-vector approaches.
- Ability to work effectively in a collaborative team environment.
Required Qualifications:
- Strong experience in developing and deploying machine learning models.
- Proficiency in implementing advanced NLP techniques.
- Hands-on experience with computer vision applications.
- Demonstrated ability to create insightful data visualizations.
- Practical experience with MLOps, including deploying models using cloud platforms like AWS and containerization tools like Docker.
- Experience with generative AI and RAG frameworks, including LangChain and Hugging Face.
- Understanding of knowledge graphs and advanced RAG methodologies.
What We Offer:
- A challenging role in a collaborative environment.
- Ongoing training and professional development opportunities.
- A competitive salary and benefits package.
How to Apply:
Please submit your application, including your resume and a cover letter, to [insert contact information].
People Tech Group Careers is an equal opportunities employer and welcomes applications from all qualified candidates.
Language:
English
Job Type:
Full-time
Salary:
Competitive
Benefits:
- Health insurance
- Dental insurance
- Vision insurance
- Retirement plan
- Stock options
Work Environment:
Our offices are located in [insert location].
Job Description:
This job description is a summary of the main responsibilities and requirements for the position.
Preferred Qualifications:
- Possession of a Master's degree in a relevant field.
- Experience with cloud platforms and containerization tools.
- Knowledge of knowledge graphs and advanced RAG methodologies.
What We Are Looking For:
We are looking for a highly skilled and motivated individual to join our team as a Data Scientist.
How to Apply:
Please submit your application, including your resume and a cover letter, to [insert contact information].
Contact Information:
Email: [insert email]
Company Overview:
People Tech Group Careers is a leading provider of technology solutions.
About Us:
We are a dynamic and innovative company.
Our Mission:
To provide exceptional technology solutions to our clients.
Our Values:
- Integrity
- Excellence
- Innovation
- Collaboration
- Customer satisfaction
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