Data Analyst

Responsibilities

• Work with scientific stakeholders to access, process, visualize, and analyze large volumes of diverse data.
• Conduct ad hoc analysis to support development sciences business needs.
• Develop data analysis solutions and communicate results/recommendations to scientists to meet significant business/scientific needs.
• Assess and apply cutting-edge machine learning/deep learning methods to specific problem domains.
• Have a passion for solving technical problems and applying novel technologies to further scientific goals.
• Collaborate with data management teams to ensure the right data is collected in the optimal format to support data analytics initiatives.
• Work with scientists, research associates and clinical scientists, statisticians and database specialists across the company.

Required Skills

• Understanding of key machine learning/deep learning concepts and algorithms with a track record of applying them towards solving business problems.
• Applied knowledge of AI platforms, technologies, and techniques (e.g. TensorFlow, Theano, Keras, scikit-learn.
• Statistical analysis expertise.
• Strong analytical and problem-solving skills.
• Excellent people and written/verbal communication skills.

Required Experience

• Data Analytics, Experience with Data migration, Data modeling and Data Normalization activities.
• Experience using Agile.
• Experience analyzing current data sources and flows through various systems; experienced with the data ingestion framework and building out template files to load data into the Hadoop data lake.
• Experience partnering with Line of Business (LOB) contacts in order to understand required reporting data models required.
• Experience working on teams and collaborating with others to solve challenging business problems.

Education Requirements

• Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.