Data Scientist (Earlier in Career)
Locations : USA, Canada or Latin America (possibility of working remotely)
Roche is here to deliver better outcomes to more patients, faster.
If you are interested in helping us transform into a more diverse, transparent, inclusive, collaborative and agile team this role is for you.
Your mindset and behavior are as important to us as your experience and capabilities.
We ask you to bring your unique personality to the team so we can celebrate a more diverse and inclusive workforce.
As a People and Culture Data Scientist, your work will impact the way Genentech and Roche function throughout our employee lifecycle.
Whether it is discovering how to find and hire the best talent to making sure our employees feel valued on our quest to cure and treat diseases for our patients, you will personally help shape and define this journey.
We are looking for an early in career Data Scientist to work on our impactful and dynamic team. This Data Scientist will work closely with other Data Scientists, Engineers, and Product Owners to deliver products to our employees and beyond.
We use a modern technology stack that includes Python, SQL, and AWS. This Data Scientist will utilize machine learning, natural language processing, and deep learning to drive impact and shape our company culture.
Leadership of projects and initiatives
Thought leadership on how to use advanced statistics, ML and AI in the HR domain
Synthesize requirements from non-technical stakeholders
Drive decision making by clearly telling stories with data
Promote (both your own and others on the team) ideas and vision to external stakeholders and potential customers
Inspire and collaborate closely with team members and stakeholders across the company to drive success
Some experience building, testing and evaluating models using Python and related packages (numpy, scipy, pandas, matplotlib / seaborn etc.)
Familiarity with machine learning algorithms (supervised / unsupervised techniques)
Solid foundation in statistical techniques and visualizations (t-tests, chi-squared, regression, etc.)
Familiarity with RDBMS and / or NoSQL
Excellent written and verbal communication skills
Self-motivated and works well within a team environment.
Experience building, testing and evaluating models using Python in a real-world setting
Solid understanding of statistical techniques and machine learning algorithms
Demonstrated abilities with cloud computing technologies (Sagemaker, S3, etc.)
Prior experience in agile processes
Experience performing ETL / ELT
Experience with NLP
Some Deep Learning experience