
Sr. Data Scientist
2 weeks ago
Position Overview
As a Data Scientist at SSL Wireless, you will contribute to a diverse range of AI and data-driven projects across various domains, leveraging your expertise in Natural Language Processing (NLP), Speech Recognition, Computer Vision, Time Series Data Analysis, and Data Analytics. You will lead a team of data scientists, manage multiple projects, and play a crucial role in shaping business decisions and delivering innovative solutions.
Key Responsibilities
Natural Language Processing (NLP) & Speech Recognition
:
- Develop and optimize solutions for automatic transcription and summarization of meeting minutes, ensuring accuracy and efficiency.
- Build conversational AI systems for customer support that integrate speech recognition and real-time voice response capabilities.
Time Series Data Analysis & Forecasting
- Implement predictive models to forecast mobile recharge amounts for telecom users, integrating live data visualization dashboards to track and display usage trends.
Data Analytics & Performance Monitoring
- Perform detailed analysis on employee performance and project engagement, providing insights into productivity through data-driven techniques.
- Develop HR analytics tools for monitoring employee activity, attendance trends, and time compensation, enabling efficient workforce management.
Optical Character Recognition (OCR) & Document Parsing
- Design and deploy OCR-based solutions to automate the extraction of data from documents such as lab reports, bank statements, and invoices, improving operational efficiency.
- Develop algorithms to parse resumes in multiple formats, automating the candidate profiling process for recruitment platforms like LinkedIn.
Computer Vision & Recognition
- Deliver real-time facial recognition solutions for multi-face detection in live video streams, verifying identities against official documents such as NID and passports.
- Create computer vision systems to classify product images and identify shop types and sizes, focusing on key sectors such as grocery, pharmaceuticals, and telecom.
Leadership & Business Engagement
- Lead a team of 4-5 data scientists, assigning tasks based on each team member's strengths and guiding them through project development and decision-making processes.
- Engage with external customers, company directors, and C-level executives to discuss data science use cases, project implementation, and real-world applications, playing a key role in business decision-making.
MLOps & End-to-End Project Delivery
- Manage the entire project lifecycle, from database interaction and data processing to model training, API development, Dockerization, and deployment on remote servers.
- Ensure the smooth delivery of AI and data science solutions as a service to end customers.
Educational And Experience Requirements
- MSc or BSc degree in a quantitative field (preferably in Statistics, Engineering)
- Ideally, 2+ years of experience working with and analyzing large data sets to solve problems and drive impact
Remuneration And Other Benefits
- Attractive salary as per industry best practice
- Yearly salary review based on performance
- Weekly 2 holidays
- 2 festival bonuses (Yearly)
- Weekly medical consultancy
- Annual leave encashment
- Medical coverage
- Congenial & friendly working environment
Deadline
September 15, 2025
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