Data Scientist Intern - Post Market Quality

Key Skills

Aartificial intelligence, Amazon Elastic Compute Cloud-EC2, Amazon RedShift, Amazon Simple Storage Service (S3), Big Data Technology, Data Governance, Data Modeling, Data science techniques, Database, Design, Effective communication skills, ETL frameworks, Machine learning techniques, Python Programming, R Programming, Snowflake, SQL, Tableau

Job Description

This position is part of the START TECH Program, check this link for more information.

As a Data Scientist in Post Market Quality (PMQ), you will have the opportunity to help develop complex data science projects to gain insights to improve products and customer experiences. 

Desired education and professional experience:

• BSc/BA/Masters studies in Data Science, Applied Data Science, Big Data, Artificial Intelligence, Machine Learning or relevant field
• Applicants with BSc/BA/Masters in Mathematics, Computer Science, Engineering or relevant field will be considered
• Proficiency in English

Competencies:

• Applying statistical modeling, machine learning, exploratory, and confirmatory data analysis in mid to large volume data sets. 
• Experience with Tableau, Thoughtspot, or any other BI tools; familiarity with SQL, Amazon Web Services (S3, EC2, Redshift, etc.), database (Snowflake), table design joins, data aggregation, data validation, etc.
• Strong programming experience with R, Python, and/or other quantitative software. 
• Understanding of Data Engineering, Data Governance, Data Modeling, ETL and the ability to mine new data sources (API or web scraping). 
• Create visualizations to communicate results

In this role, you will:

• You will identify valuable data sources and variables and enhance data collection procedures to include information that is relevant for building analytic systems:
•  Pre-process and cleanse huge amounts of structured and unstructured data, and verify

the integrity, accuracy and completeness of data used for analysis

• Employ analytical, machine learning and statistical methods to prepare data for

predictive and prescriptive modeling

• Build predictive models and machine learning algorithms
• Interpret the data to discover solutions and opportunities
• Communicate predictions and findings to management through effective data

visualizations and reports

• Propose solutions and strategies to business challenges

Soft skills & Mindset:

• Passion to make a difference in healthcare.
• Data savvy, creative thinker and problem solver, eager to learn new techniques and expand your scientific expertise.
• Resiliency and high sense of ownership with effective prioritization skills, attention to detail and accuracy.
• Outstanding team player with highly effective collaboration skills.
• Excellent communication skills and listener, constructive at giving and receiving feedback.

You will be expected to demonstrate the We@RD dimensions and help evolve the functions culture beliefs and bring We@RocheDiagnostics to life, as part of the TransformD journey. The dimensions are:

• We are passionate about our customers and patients
• We radically simplify
• We trust, collaborate & have fun
• We ALL lead
• We experiment & learn

Roche is strongly committed to a diverse and inclusive workplace. We strive to build teams that represent a range of backgrounds, perspectives, and skills. Embracing diversity enables us to create a great place to work and to innovate for patients.

Are you ready to apply? We want someone who thinks beyond the job offered - someone who knows that this position can be a unique opportunity to shape the future of Diagnostics.