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To advance the organization by developing algorithms to build models that uncover connections and make better decisions without human intervention.
Role
Experimentation is at the core of what you do. The role is to work to turn business questions into data analysis effectively and provide meaningful recommendations. This is a unique hybrid role that will focus on your knowledge of data infrastructure and your ability to drive insights.
Authority
Develop models and train them,
Research on new technologies,
Participate in recruitment process
Responsibility
Leverage various data science methods such as machine learning, statistical modeling, forecasting, and causal inference to understand user behavior and predictions around different customer segments,
Design and evaluate experiments,
Generate ideas to creatively leverage data for shaping future product roadmaps,
Drive democratization of data through the creation of new datasets and tooling,
Design and surface metrics to guide decision making.
Requirements
Ph.D. in Computer Science (Machine Learning, AI, Statistics, Mathematics, or equivalent),
Proven track record of innovation in creating novel algorithms and advancing the state of the art,
Strong knowledge and practical experience in deep neural networks and other recommendation systems, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), residual neural networks and collaborative filtering techniques,
Strong knowledge in programming languages such as C++, Java and scripting languages such as Perl, Python, or similar,
Solid experience in solving related challenges, algorithm design and complexity analysis,
Being proactive and self-starter on finding new methods and technique or creating new technologies.
Benefits
It's always a good idea to include the benefits of the job the company will provide such as:
Flexible hours to give you freedom and increase productivity,
