AstraZeneca Recruitment 2020 Off Campus Drive Hiring Freshers As Graduate Trainee of Any Degree Graduates
AstraZeneca Recruitment 2020: AstraZeneca is an exciting global, innovation-driven biopharmaceutical company. We’re inspired by what science can do. Driven by the desire to meet unmet patient needs in our core therapeutic areas. Bold in our thinking. Proactive in pursuing discoveries beyond imagination. At sites across the world, we bring teams together in a spirit of collaboration to turn great ideas into life-changing medicines – strengthening our product portfolio and harnessing the potential of a pipeline across all stages of the drug development process.
Company Name: AstraZeneca
Company Website: AstraZeneca
Wikipedia: AstraZeneca Wiki
Position: Graduate Trainee
Job Location: Chennai
Experience Level: 0 – 2 Years
Degree Needed: B.E/B.Tech
Passout Batch: 2018/2019/2020
Package: Best In Industry
Latest Upcoming off Campus Drive: Apply ASAP
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Education, Qualifications, Skills and Experience:
- Must have Direct Hands-on, 0 to 2 years of experience, building complex systems using any Statistical Programming Language (R / Python / SAS)
- Must have fundamental knowledge of Inferential Statistics
- Should have worked on Predictive Modelling
- Experience should include the following,
- Multi-Dimensional Array Processing
- Simulation & Optimization Techniques
- Machine Learning Techniques (Supervised, Unsupervised)
- Artificial Intelligence and Deep Learning
- Natural Language Processing
- Model Ensembling Techniques
- Building Interactive Applications to demonstrate Data Science Use Cases
- Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly
- Should have experience of managing multiple simultaneous projects
Desirable:
- Prior experience in Healthcare Domain, is a plus
- Experience using Big Data, is a plus. Exposure to SPARK is desirable
- For a fresher, suitable capstone experience will add value
- Exposure to working in Agile project environment is a plus
- Participation in various Data science challenges will be an advantage
Responsibilities:
- Work with large, complex datasets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Develop prescriptive and predictive statistical, behavioral or other models via machine learning and/or traditional statistical modeling techniques and understand which type of model applies best in each business situation.
- Assess the efficiency 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.
- Implement analytical models into production by collaborating with business partners, and implement improvements as needed.
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