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Data Scientist
Skills
AlgorithmsAnalytical SkillsData MiningData PipelinesData ScienceMachine Learning AlgorithmsNatural Language Processing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Master's degree with 3+ years of experience or PhD with 1+ years of experience in data science/engineering
- Experience in developing data-driven algorithms in information retrieval, relevance, or machine learning and working with distributed systems
- Programming skills in Python, R or Scala, SQL, Pysql
- Familiarity with Spark/Pypsark, common ML libraries, and AWS ecosystem including EMR and S3
- Experience with data mining, unsupervised machine learning algorithms, and statistical tools and underlying theory
- Experience in developing data pipelines and automated workflows
- Experience with Neo4j/AWS Neptune, Elasticsearch or DynamoDB, and Airflow is a big plus
Day to day
- Analyze large data sets to develop identity graph, optimize graph structure, and build algorithms to drive innovative identity-verification solutions
- Focus on product improvement, resolve key points to help identify key challenges and provide feedback and solutions to clients
- Apply machine learning in analysis, conduct data mining, utilize statistical analysis, build graph-based algorithms designed to analyze massive data sets
- Develop, improve models, and perform A/B testing analysis of production data
- Build probabilistic models for identity matching, automating data-processing pipelines, evaluating performance of new data vendors, and providing analytical support to the Socure compliance and regulatory product suite including a KYC product
- Provide analytic support to the compliance-product teams and report on project status to senior management
