Data scientist

846530

CRC Salario confidencial

Costa Rica Toda Costa Rica

Publicado 4 Sep 2023

Planeación: proyectos

4 Vacantes

TransUnion Global Capability Center
Industria de la empresa:
Servicios

Descripción general

This position is responsible for supporting the development of analytic solutions through consulting engagements for TransUnion’s clients across a broad array of credit, fraud, insurance and marketing business applications. This position requires a general understanding of US financial services risk management practices. Familiarity with identity, fraud, security, or credit bureau data and solutions.
Experience and demonstrated success in applying predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications over a period of at least one (1) year; experience building analytical solutions that deliver value and create competitive advantage.
The desire to work on full-stack data science solutions and engage in continuous learning.
Experience processing large amounts of semi-structured (esp. JSON) and unstructured data.
Proven ability to operate effectively under modest supervision in a complex and dynamic, matrixed environment.
Familiarity with graph databases, stream computing, or probabilistic data structures.
Experience with containerization and container-orchestration (esp. Docker and Kubernetes).
Experience with NoSQL databases, such as Cassandra or Elasticsearch.
Knowledge of various ETL techniques and frameworks.
Familiarity with data visualization methods and tools (D3.js, Graphite, etc.).
Understanding of massively parallel processing (MPP) and distributed computing principles.
Work experience in industries served by TransUnion, such as financial services, insurance, and digital marketing.
Work experience in SaaS or real-time solutions.

Requisitos para aplicar

Bachelor's or master’s degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field with at least one (1) year of relevant professional experience; or a bachelor’s degree in a quantitative field with at least three (3) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence.
Demonstrated ability to build and move machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
Strong analytical, critical thinking, and creative problem-solving skills.
Advanced programming skill and aptitude; proficiency with statistical programs such as R or Python; experience with other programming and data manipulation languages and big data platforms (SQL, Hive, Spark, C/C++, Java); high level of familiarity with Microsoft Office tools.
Good verbal and written communication skills in English and Spanish. Proven ability to translate technical concepts into articulate actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside towards desired outcomes.

Datos complementarios

846530

Profesional

Analista / Otras

Otros servicios

5 años de experiencia

Contrato Indefinido

846530