Wesco is hiring a graduates for data science & analytical operations
Job DescriptionÂ
As a Data Scientist you will identify business trends and problems through complex big data analysis. You will interpret results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Â You will design, develop and implement the most valuable business solutions for the organization. Â You will prepare big data, implements data modules and develops database to support the business solutions.
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Wesco Is Hiring A Graduates : Data Science & Analytics
| Job ID | 18235 |
| Job Role | Data Analyst / Engineer |
| Education Qualifications | BE/B.Tech or Other Tech Degree |
| Salary Package | 4 to 6 LPA or as per company standards |
| Job Location | Bangalore ( IT Hub ) |
| 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.
ResponsibilityÂ
- Work on existing Digital Products and understand and enhance the current intelligent models and innovatively improve them.
- Work with stakeholders to identify opportunities from data, drive innovation and a culture of Invention Disclosures.
- Translate data into actionable insights to empower confident decisions, product creation & development, drive optimization, marketing techniques, business strategies and outcomes.
- Research, develop, plan and implement predictive AI/ML/DL based algorithms, Optimization techniques for IoT, IIOT, Robotics and other digital products.
- Develop, manage and maintain Machine Learning and Deep Learning models and algorithms to apply to data sets.
- Assess the effectiveness, efficacy and accuracy of new data sources and data gathering techniques.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Motivation and drive to seek out for new projects and opportunities.
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RequirementsÂ
- Bachelor’s / Master’s degree in a quantitative discipline, e.g., Computer Science, Mathematics, Statistics, Artificial Intelligence.
- hands-on experience in designing algorithms in Data Science and Artificial Intelligence.
- Familiarity with data visualization libraries in R, Python
- Deep understanding of Data Structures and Algorithms.
- High proficiency with standard database skills (e.g., SQL), data preparation, cleaning, and wrangling/munging.
- Deep conceptual understanding of probability & statistics, ML algorithm intuition, and computer science fundamentals.
- Deep experience in statistical and machine learning techniques such as classification, regression, feature selection and feature engineering, hyperparameter tuning, unsupervised learning methods, etc.
- Experience with deep learning frameworks (e.g., TensorFlow, pyTorch).
- Experience with cloud service providers like AWS, GCP, Azure.
- Experience with fundamental building blocks of AI, such as natural language processing and computer vision.
- Experience with recommendation systems and reinforcement learning.
- Understanding of data visualisation concepts and fundamentals.
- Experience in any of these programming languages like PHP, Python, NodeJS, MySQL, MongoDB, Elasticsearch will be another added advantage.
- Ability to explain statistical reasoning to both experts and non-experts.
- Strong communication and interpersonal skills.
- Ability to learn new skills/technologies quickly and independently.
- Independent problem-solving skills.
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PreferredÂ
- Masters Degree – A Ph.D. in Electrical Engineering, Computer Science, or related fields is required.
- Strong oral and written communication skills.
- A collaborative mindset to excel in a team environment.
- Ability to take complex problem objectives and come up with innovative and flexible solutions.
- Proven track record of driving changes.
- Ability to reconcile complex possibly conflicting tasks and come up with realistic solutions
- Experience with distributed data/computing and orchestration tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Beam, Druid, Airflow, Presto etc.
- Expertise with statistical techniques and their applications in business.
- Coding knowledge and experience with Python is a minimum. C, C++, Java, R and JavaScript is a plus.
- 3 years of experience in working with any of the deep learning frameworks like Pytorch, Tensorflow, Caffe, etc.
- 3 years of a proven track record of independent thinking and complex problem-solving. Work can include papers in reputed conferences or journals and/or patent applications.
- 3 years of a proven track record of R&D research in an industrial setting with multiple patents/patent applications.
- 3 years of experience in robotics i.e., automation through reinforcement learning.
- 3 years of experience in optimization theory like black-box optimization methods.
- 3 years of experience in designing algorithms for IoT devices with resource and power constraints.
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