Neo4j Data Scientist [India]
USTInternationalUpdate time: November 16,2023
Job Description
What You’ll Need: -
Knowledge of underlying mathematical fundamentals in statistics, machine learning, and analytics.
- Experience with exploratory data analysis, statistical analysis and hypotheses testing, and model development.
- Fluency in Neo4j and ability to write efficient code at scale with large datasets.
What You’ll Do:
- Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modeling, coding, analytics, and experimentation) to drive business insight and facilitate decisions.
- Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation.
Basic:
-3-5+ years of experience in Neo4j and has certification / certified
- Degree in Statistics, Economics, Computer Science or another quantitative field.
- Demonstrated excellence in a relevant AI/ML discipline (CV, NLP, ASR, etc.), including experience with ML model building with libraries such as Tensorflow, PyTorch, and OpenAI
- Knowledge of fundamentals of machine learning, such as algorithm families (regression, classification, unsupervised), AB testing, hypothesis testing, and optimization Preferred:
- Experience with human-in-the-loop ML, active learning, and data labelling Experience with knowledge graphs and graph databases (e.g.,Neo4j, triplestores, ontologies, taxonomies)
- Strong communication skills, for example, demonstrated through documentation and presentations. Able to present findings to senior management to inform business decisions
Knowledge of underlying mathematical fundamentals in statistics, machine learning, and analytics.
- Experience with exploratory data analysis, statistical analysis and hypotheses testing, and model development.
- Fluency in Neo4j and ability to write efficient code at scale with large datasets.
What You’ll Do:
- Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modeling, coding, analytics, and experimentation) to drive business insight and facilitate decisions.
- Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation.
Basic:
-3-5+ years of experience in Neo4j and has certification / certified
- Degree in Statistics, Economics, Computer Science or another quantitative field.
- Demonstrated excellence in a relevant AI/ML discipline (CV, NLP, ASR, etc.), including experience with ML model building with libraries such as Tensorflow, PyTorch, and OpenAI
- Knowledge of fundamentals of machine learning, such as algorithm families (regression, classification, unsupervised), AB testing, hypothesis testing, and optimization Preferred:
- Experience with human-in-the-loop ML, active learning, and data labelling Experience with knowledge graphs and graph databases (e.g.,Neo4j, triplestores, ontologies, taxonomies)
- Strong communication skills, for example, demonstrated through documentation and presentations. Able to present findings to senior management to inform business decisions
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