HPE Freshers Recruitment 2021 | Data Science / AIML Intern | Bangalore
HPE (Hewlett Packard Enterprise) Freshers Recruitment 2021 in Bangalore For Data Science/AIML Intern Position. BE, BTech Graduates 2021 are eligible to apply for this job. More details regarding HPE Bangalore Freshers Job Openings 2021 is given below.
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Company Name: HPE (Hewlett Packard Enterprise)
Job Location: Bangalore
Job Category: IT | Software
Job Position: Data Science / AIML Intern
Experience: Freshers
Qualification: BE, BTech
Year of Passing: 2021 Batch
Job Description:
- The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
- They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
- They must be comfortable working with a wide range of stakeholders and functional teams.
Eligibility Criteria:
- Education: 10th + 12th + BE/BTech.
- Streams: Electronics & Communication, EEE, Computer Science, Information Technology (2021 Batch).
- Percentage: 10th + 12th + BE/BTech marks/aggregate to be 60% and above with no arrears.
Job Responsibilities:
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop testing framework and test model quality.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
- Visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
- Distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Desired Skills:
- Strong problem solving skills with an emphasis on product development.
- Knowledge of using statistical computer languages (Python, SLQ, etc) to manipulate data and draw insights from large data sets.
- Knowledge of working with and creating data architectures.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- Knowledge in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
How To Apply:
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