Data Scientist

Data Scientist Senior Engineer

**Able to do**:

- **Critical Thinking**: Able to influence the strategic direction of the company by finding opportunities in large, rich data sets and crafting and implementing data driven strategies that fuel growth including cost savings, revenue, and profit.
- **Modeling**: Assessments, and evaluating impacts of missing/unusable data, design and select features, develop, and implement statistical/predictive models using edge algorithms on diverse sources of data and testing and validation of models.
- **Data Engineering**: Experience with crafting ETL processes to source and link data in preparation for Model/Algorithm development. This includes domain expertise of data sets in the environment, third-party data evaluations, data quality

**The minimum requirements we seek**:

- Master’s degree in Computer Science, Mathematics, Physics, Electrical Engineering or related field or a combination of education and equivalent experience.
- 3+ years’ experience with Python, SQL, Cloud (preferably GCP).
- 3+ years’ Experience with big data technologies such as Azure Data Lake, GCP Big Query, Databricks, Spark, Hadoop, Kafka, SQL and NO-SQL databases, etc.

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**Our preferred qualifications**:

- PhD degree in Computer Science, Mathematics, Physics, Electrical Engineering or related field or a combination of education and equivalent experience.
- Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. acquired through college course work, online training and certification or project development.
- Demonstrated expertise in commercial tools such as Alteryx, Qlikview / Qliksense, Tableau or PowerBI acquired through training and/or implementation on projects
- Familiarity working with Automotive OEM/ Ford connected vehicle data & relevant infrastructure.
- Self-motivated with excellent verbal and written skills.
- Highly credible in organizational, time management, decision making and problem-solving skills.
- Familiarity working with big data to develop scalable, production-ready solutions.

Tipo de puesto: Tiempo completo, Por tiempo indeterminado

Salario: $30,000.00 - $37,000.00 al mes

Horario:

- Turno de 8 horas

Prestaciones:

- Seguro de gastos médicos mayores
- Seguro de vida
- Vales de despensa

Educación:

- Licenciatura terminada (Deseable)

Experiência:

- Análisis de datos: 1 año (Deseable)

Idioma:

- Inglés (Deseable)

Lugar de trabajo: remoto híbrido en 53570, Naucalpan, Méx.