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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
Your primary responsibility in this role is to research and prototype new ideas using machine learning and deep learning techniques to speed up the creation.
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 from A/B tests,
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,
Collaborate with cross-functional teams including Product, Engineering, Research, Design, Sales, and Marketing.
Requirements
University or advanced degree in engineering, computer science, mathematics, or a related field
5+ years experience developing and deploying machine learning systems into production
Strong experience working with a variety of relational SQL and NoSQL databases
Strong experience working with big data tools: Hadoop, Spark, Kafka, etc.
Experience with at least one cloud provider solution (AWS, GCP, Azure)
Strong experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Ability to work in a Linux environment
Industry experience building innovative end-to-end Machine Learning systems
Ability to quickly prototype ideas and solve complex problems by adapting creative approaches
Experience working with distributed systems, service-oriented architectures and designing APIs
Strong knowledge of data pipeline and workflow management tools
Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation
Relevant working experience with Docker and Kubernetes is a big plus
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,
