Java Programming, Analytical and Problem solving, Python Programming, SQL, Agile methodologies, Big Data Technology, Machine learning techniques, Data science techniques, A/B Testing, Data Modeling, Natural Language Processing (NLP), Statistics, Amazon RedShift, Amazon Elastic Compute Cloud-EC2, Amazon Simple Storage Service (S3), Data pipelines, ETL frameworks, Mathematics, Large data sets, Data Analysis, Data Warehousing
Amazon’s Workplace Health and Safety organization is changing the way we think about our workplace, so that we can keep our associates healthy and safe. We have just started scratching the surface in terms of possibilities, and are exploring everything from using wearable devices to improve health, to analyzing data from all Amazon buildings and warehouse management systems to predict safety-related events. Our team is reinventing the way Amazon anticipates, assesses, and manages workplace hazards and risks.
We are looking for an experienced data scientist with superior analytical skills. This position is uniquely positioned in the team as we have a growing need for looking into new datasets, prioritize opportunities using data driven insights and solution these opportunities using different Machine Learning and AI techniques.
To be successful in this role, you must be able to turn ambiguous business questions into clearly defined problems, develop quantifiable metrics and robust machine learning models from multiple data sources, and deliver results that meet high standards of data quality, security, and privacy.
Key job responsibilities
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
Amazon.com, Inc. is an American multinational technology company with operations in cloud computing, streaming media, artificial intelligence, and e-commerce. The company has been referred to as one of the most influential economic and cultural forces in the world, and it is one of the world's most valuable brands.
Vancouver, BC, Canada
2-4 year
Toronto, ON, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Toronto, ON, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Berlin, Germany
2-4 year
Arlington, VA, USA
2-4 year
Austin, TX, USA
2-4 year
Bellevue, WA, USA
2-4 year
California City, CA, USA
2-4 year
Newark, NJ, USA
2-4 year
Newark, NJ, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Sumner, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Mumbai, Maharashtra, India
2-4 year
Berlin, Germany
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
Westborough, MA, USA
0-2 year
Arlington, TX, USA
2-4 year
Seattle, WA, USA
6-8 year
Sunnyvale, CA, USA
6-8 year
New York, NY, USA
6-8 year
Seattle, WA, USA
4-6 year
Palo Alto, CA, USA
0-2 year
New York, NY, USA
0-2 year
Seattle, WA, USA
0-2 year
Arlington, VA, USA
0-2 year
New York, NY, USA
4-6 year
Arlington, VA, USA
4-6 year
Seattle, WA, USA
4-6 year
San Diego, CA, USA
4-6 year
Irvine, CA, USA
4-6 year
San Francisco, CA, USA
4-6 year
Brisbane QLD, Australia
0-2 year
Adelaide SA, Australia
0-2 year
Canberra ACT, Australia
0-2 year
Vancouver, BC, Canada
4-6 year
Vancouver, BC, Canada
2-4 year
San José Province, San José, Costa Rica
0-2 year
Palo Alto, CA, USA
0-2 year
Seattle, WA, USA
0-2 year
Vancouver, BC, Canada
2-4 year
Toronto, ON, Canada
0-2 year
Seattle, WA, USA
8-10 year