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Highly Skilled Quantitative Analyst
2 weeks ago
Our organization seeks a seasoned data scientist with expertise in generative AI and NLP to drive innovation.
The ideal candidate will play a pivotal role in developing cutting-edge AI/ML solutions, leveraging their knowledge of generative models, NLP, and deep learning to solve complex business challenges.
This position requires advanced statistical and machine learning techniques, excellent communication skills, and the ability to collaborate effectively with product development and leadership teams.
Key Responsibilities:
- Data Acquisition & Automation: Identify relevant data sources and build automated data collection processes.
- Data Preprocessing: Preprocess structured and unstructured data for model training and analysis.
- Model Development: Develop machine learning and deep learning algorithms, including generative AI models, NLP models, forecasting models, and network graphs.
- Model Building: Build predictive models, machine learning algorithms, and data pipelines for end-to-end solutions.
- Problem Solving: Propose data-driven solutions and strategies to address business challenges.
- Collaboration & Communication: Collaborate effectively with product development teams and communicate technical information clearly to senior leadership teams.
- Problem-Solving Sessions: Participate actively in problem-solving sessions, contributing your expertise and insights.
Required Technical Skills:
- Generative AI: Extensive background in generative AI algorithms and deep understanding of generative models.
- NLP: Deep understanding of NLP algorithms, techniques, and applications.
- Deep Learning: Strong knowledge of deep learning architectures and frameworks.
- Machines Learning: Solid foundation in machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
- Statistical Modeling: Strong mathematical and statistical skills, including algebra and statistical modeling.
- Programming Languages: Fluency in at least one data science/analytics programming language (Python, R, Julia).
Preferred Skills:
- Cloud Computing: Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Data Visualization: Experience with data visualization tools (Tableau, Power BI).
- Big Data Technologies: Knowledge of big data technologies (Spark, Hadoop).
Requirements:
- Education: Bachelor's degree in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research, or equivalent experience).
- Experience: 5-6 years of advanced analytics experience, preferably in startups or marquee companies.
Personal Attributes:
- Strong problem-solving and analytical skills.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Ability to work independently and as part of a team.
- Proactive, self-motivated, and results-oriented.
- Possion for AI/ML and its potential to solve real-world problems
