New Offcampus Internship Opportunity from Striker Club is Hiring Freshers and Experience candidates for the role of Data Science Intern, Apply Now. Apply for the job as soon as possible.



Striker Club is Hiring Freshers and Experience candidates for the role of Data Science Intern




Striker Club






About Company:-

You will be in charge of owning and executing Data Science solutions, which will include handling large datasets, exploratory data analysis, model development, and real-time solution deployment. We value first principles thinking, so strong logical reasoning, mathematical depth, data structure and CS algorithm knowledge are required for the role.

Job Responsibilites:-

Investigate and propose novel statistical/ML models to meet the requirements.
Target and formulate various problems in terms of key business metrics, then assess the impact of the developed ML techniques.
Data should be analysed for trends and patterns, and data should be interpreted with a specific goal in mind.
Develop, deploy, and maintain ML/DL models in production, or assist in the development of a platform to do so.
Collaborate closely with the Engineering team to bring Data Science projects to fruition.
Inform key stakeholders about progress and findings.
Keep abreast of new AI/ML technologies.

Required Skillsets:-

SQL and Python expertise (Required). Knowledge of PySpark, AWS, and Rest/Fast APIs (Preferred)
Extensive knowledge of machine learning, deep learning, and the engineering aspects of ML model deployment (Required). Has a Bachelor's/Master's/PhD degree or is pursuing one in Computer Science, Statistics, Applied Mathematics, or a related field (Preferred)
Knowledge of statistical methods such as hypothesis testing, forecasting, time series analysis, and so on (Required). Experience with optimization problems - linear/nonlinear programming, (meta)heuristics for problem solving (Preferred)
Most importantly, an inquisitive mind, the ability to self-learn and abstract, as well as a risk appetite for experimentation and failure are required.
Data analysis, mathematics/probability, and statistical analysis skills are required.
Should be able to multitask and work in a dynamic, fast-paced environment.
Available for three months, preferably on-site


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