Urgent Assistant Manager
4 weeks ago
Inviting applications for the role of Assistant Manager, Data Scientist
In this role, you will work on solving complex business problems using data science, machine learning, and deep learning techniques. You'll be responsible for building scalable analytical solutions, transforming raw data into actionable insights, and collaborating across teams to deliver high-impact outcomes
Responsibilities
- Lead the development of statistical and machine learning models to solve business problems
- Deliver data-driven insights through advanced analytics and storytelling using visualization tools
- Manage data extraction, transformation, and integration processes using SQL and ETL techniques
- Mentor junior analysts and data scientists on best practices in Python programming and model building
- Map raw data to business problems through data wrangling, feature engineering, and model deployment
- Work on natural language processing tasks including text mining, LSTM, BERT, transformers, and Seq2Seq models
- Own end-to-end implementation of deep learning models using CNN, RNN, HMM, and other AI techniques
- Collaborate with engineering teams to develop Flask/Django-based applications for model deployment
- Ensure data solutions are scalable, robust, and aligned with cloud architecture standards (AWS, Azure)
- Visualize and present insights using tools like Power BI or Tableau [List of responsibilities]
Qualifications we seek in you
Minimum Qualifications
- Master's or Bachelor's degree in a quantitative discipline (Economics, Statistics, Mathematics, Computer Science
- Proficient in statistical analysis, data wrangling, and data mining using Python
- Strong understanding of machine learning algorithms, optimization, and hyperparameter tuning
- Experience working with NLP and text mining techniques
- Hands-on experience in using SQL and ETL tools for data preparation
Preferred Qualifications/ Skills
- Good years of experience in data science or advanced analytics role
- Exposure to deep learning techniques and AI models (e.g., CNN, RNN, HMM, Monte Carlo simulations
- Familiarity with cloud platforms like AWS or Azure
- Experience working with big data tools like Spark
- Proficiency in building web applications using Flask or Django
- Strong communication and client management skills
- Ability to work independently and drive projects to completion
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