Data Scientist (Earlier in Career)
hace 6 días

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.

Key Responsibilities

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

Technical Experience

Required Qualifications

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.

Preferred Qualifications

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

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