Data Engineer Intern

Key Skills

Unix Operating system, Python Programming, SQL, AWS, PowerBI, Deep Learning, R Programming, Image classification

Job Description

How Will You Make an Impact?

Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team of more than 100,000 colleagues delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD. For more information, please visit www.thermofisher.com. At Gul Circle, we manufacture microarrays that are used in genomic research for various applications, ranging from agriculture to reproductive health.

What will you do?

• You will apply your knowledge of statistics, machine learning, data structures, programming to recognize patterns, identify opportunities and translate into valuable business solutions.
• Provide support to data science projects including analysis, querying, coding, visualization, modeling, and deployment.
• Be involved with many aspects of model design and evaluation tasks and prove the efficacy of models built using business driven measurements and sound statistical principles.
• Automate predictive processes with monitoring tools, anomaly detection, time series forecasting, and other potential algorithmic solutions that deliver better insights of our manufacturing process and activities that leverage data science technology to drive incremental impact to the business.
• Work with engineers and other stakeholders to ensure the effectiveness of models with rigorous scientific observation and evaluation of data science products.
• Work with cross functional teams to support data collection, visualization, and integration.
• Collaborate closely with other data scientists on developing and improving model performance and conduct other ad hoc analysis as needed.

How will you get here?

I. Education

Students currently pursuing a tertiary study towards computer science/engineering, AI or data analytics, Informatics or related quantitative disciplines.

II. Experience

Work or project experience for data ETL, preprocessing, data modeling, solution deployment

III. Knowledge, Skills, Abilities

• Good understanding of statistics and machine learning concepts and willing to learn with a desire to contribute using real world data
• Familiarity with Python or R and SQL, PowerBI
• A plus to be familiar with cloud architecture (AWS preferred), experience with Linux, SageMaker, deep learning, image classification
• Ability to work both independently and as part of a team

Learning Outcomes:

• Gain experience of complete life cycle of data science project with business understanding, data ETL, exploratory analysis, modeling, evaluation and deployment.
• Get familiar and utilize tool like Python/R, SQL, PowerBI, AWS Cloud to solve real world business issues
• Apply knowledge learned during tertiary course and acquire skills needed to become hands-on data scientists
• Gain interpersonal skills that promotes personal growth and development