Senior Data Scientist
1 week ago
Job Summary :
We are seeking a highly skilled and experienced Senior Data Scientist with a strong focus on Generative AI and Natural Language Processing (NLP) to join our growing team.
You will play a crucial role in developing and implementing cutting-edge AI/ML solutions, leveraging your expertise in generative models, NLP, and deep learning to solve complex business challenges.
This role requires a deep understanding of advanced statistical and machine learning techniques, excellent communication skills, and the ability to collaborate effectively with product development and leadership teams.
Experience in a startup environment is a plus.
Key Responsibilities :
- Data Acquisition & Automation : Identify relevant data sources and build automated data collection processes.
- Data Preprocessing : Preprocess structured and unstructured data to prepare it for model training and analysis.
- Model Development : Develop and innovate 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 :
- Extensive background in generative AI algorithms and deep understanding of generative models.
- Deep understanding of NLP algorithms, techniques, and applications.
- Strong knowledge of deep learning architectures and frameworks.
- Solid foundation in machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
- Statistical Modeling : Strong mathematical and statistical skills, including algebra and statistical modeling.
- Fluency in at least one data science/analytics programming language (Python, R, Julia).
- Python is highly preferred.
- Experience building data pipelines for end-to-end solutions.
Preferred Skills :
- Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Experience with data visualization tools (i., Tableau, Power BI).
- Knowledge of big data technologies (i., Spark, Hadoop).
Required Experience & Qualifications :
Education : Bachelor's degree in a highly quantitative field Computer Science, Engineering, or equivalent experience.
Experience :
- 8-9 years of advanced analytics experience, preferably in startups or marquee companies.
- Startup experience is a plus.
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.
- Passion for AI/ML and its potential to solve real-world problems
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