Data Science Work From Home Job Opening For Freshers & Every Engineer And Tech Graduate Is Eligible
Job Overview: We are seeking a talented and motivated Data Scientist to join our Data Science team. In this pivotal role, you will develop innovative live content recommendation solutions tailored for our video streaming service. You will leverage cutting-edge methodologies in collaborative filtering, deep learning, reinforcement learning, and online modeling to enhance user engagement by delivering personalized content experiences.
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Basic Job Details :
| Job ID | 54162 |
| Job Role | Data Analyst / Scientists |
| Education Qualifications | BE/B.Tech |
| Salary Package | 4 to 10 LPA |
| Experience | Fresher |
| Job Location | Work from home or Remote |
| Last apply date | ASAP |
Attention :Read all criteria carefully and make changes in resume by adding relevent keywords so you will get the interview call otherwise you will loose opportunity.
Key Responsibilities:
- Design and implement advanced prescriptive content recommendation models using various statistical, machine learning, and data mining techniques.
- Perform data preprocessing tasks such as cleansing, discretization, imputation, and feature engineering to ensure high-quality inputs for model building.
- Access and manipulate big data, as well as both relational and non-relational data sources, to acquire data at the necessary granularity for specific analytical objectives.
- Work closely with engineering teams to deploy real-time and automated batch data science solutions in a production environment.
- Actively contribute to improving the machine learning lifecycle infrastructure and codebase, participating fully in team activities and collaborative efforts.
Qualifications/Requirements:
- Bachelor’s or advanced degree in Statistics, Business Analytics, Data Science, or a related quantitative field.
- Proven experience in applying advanced data science algorithms such as neural networks, SVM, random forests, gradient boosting machines, k-means++, deep learning, or reinforcement learning.
- Demonstrable expertise in at least three classes of advanced algorithms.
- Prior experience with live recommender systems and their implementation.
- Proficiency in deep learning frameworks, preferably TensorFlow.
- Proven track record in implementing scalable, distributed, and highly available systems on Google Cloud Platform.
- Competence with Google AI Platform/Vertex AI, Kubeflow, and Airflow.
- Strong skills in data processing with SQL, Python and PySpark.
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Desired Characteristics
- Solid understanding of the computational complexity involved in model training and inference, especially in the context of real-time and near real-time applications.
- Experience handling multi-billion record datasets and a good grasp of enterprise-level digital analytics platforms such as Adobe Analytics or Google Analytics.
- Familiarity with the management and analysis of large-scale video assets.
- A team player with a collaborative mindset who is eager to learn and apply new methods and tools.
- A sense of pride and ownership in your work, along with the ability to represent your team confidently to other departments.
TCS Data Science Off Campus Drive 2024
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