Senior Data Scientist, Digital Acceleration

Job Description

Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?

The Amazon Digital Acceleration Analytics team is looking for an analytical and technically skilled individual to join our team. In this role,
you will invent, build and deploy state of the art machine-learning models and systems to enable and enhance the team's mission

This role offers wide scope, autonomy, and ownership. You will work closely with software engineers & data engineers to put algorithms into practice. You should have strong business judgement, excellent written and verbal communication skills. The candidate should be willing to take on challenging initiatives and be capable of working both independently and with others as a team.

Key job responsibilities
We are looking for an experienced data scientist with strong foundations in mathematics, statistics & machine learning with exceptional communication and leadership skills, and a proven track record of delivery. In this role, You will
- Define a long-term science vision and roadmap for the team, driven fundamentally from our customers' needs, translating those directions into specific plans for engineering teams.
- Design and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring.
- Drive end-to-end statistical analysis that have a high degree of ambiguity, scale, and complexity.
- Research and develop advanced Generative AI based solutions to solve diverse customer problems.

We are open to hiring candidates to work out of one of the following locations:

Chennai, TN, IND

BASIC QUALIFICATIONS
- 8+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 5+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Experience working with data engineers and business intelligence engineers collaboratively

PREFERRED QUALIFICATIONS
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc)

Jobcode: Reference SBJ-gx298q-3-141-193-189-42 in your application.