Resy Hiring Drive 2024: Resy Hiring Drive 2024 for its Analyst-Data Science. Resy Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree. if you are interested, please apply as soon as possible.
Company Name: Resy
Role: Analyst-Data Science
Location: Gurugram
Experience: 1 – 3 years
Qualification: Bachelor’s degree
Batch: Any
Job Type: Full Time
Salary: Best in Industry
Resy Hiring Drive 2024
Job Description:
- Understand the overall business perspective and help conceptualize the business problem into a Data Science/ML roadmap
- Have a research bend of mind and read/engage/apply new techniques and algorithms in the field to generate efficiencies/process improvements.
- Rigorous testing of algorithms as per business norms and delivering significant working leverage over status quo and generate value for the business.
- Capability of writing, debugging and compiling codes in multiple Machine Learning environment and understanding of Python stack is necessary.
- Research focus on problem solving through NLP(Natural Language Processing) is critical.
- Clear application on performance testing and validation framework of machine learning models.
- Understand and deploy mathematical foundations of cutting edge NLP techniques on varied sources of data.
- Willingness to derive insights from terabyte sized data and capability to design scalable solutions is paramount
Requirements:
- Complete grip on Python environment and libraries (pandas, numpy, nltk, statsmodels, genism, pyspark, spacy, transformers), Deep learning expertise is preferred and any of Tensorflow/Torch is preferred.
- Proven experience of applying using Machine Learning techniques like Regression, Classification, Supervised or Unsupervised Recommenders, Deep Learning etc.
- Deep knowledge of Statistics and Maths and ability to dissect problems from the first principle.
- Exposure to fields like Linear Algebra, Bayesian Statistics, Group theory is desirable
- Ability to work in cross functional teams
- Excellent data wrangling and visualization skills
- Hands on knowledge of SQL is expected
- Prior experience working with Transformers/LSTMs/CNNs preferred
- Working knowledge of finetuning Large Language Models(LLMs) is a plus.
Skills:
- Career development
- deep learning
- data science
- Finance
- Machine learning
- Performance testing
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