Myticas's direct client is seeking a Data Scientist/Engineer to translate business needs into analytic questions, conduct data exploration and model specification, manage data flows and ETL operations, visualize data into dashboards, design and perform analyses of operational, transactional, and log data, and translate these analytic findings into leading information and metrics for business partners.
Requirements
- Proficiency in SQL and Python programming
- Ability to work with “big data” and practiced in exploratory data analysis
- Strong experience as a data engineer
- Knowledge of statistical methods, machine learning, natural language processing
- Collaborate in cloud environments (e.g., AWS, Cloudera, Dataiku, etc.) and with big data technologies (e.g., Spark, Hadoop)
- Demonstrate a basic knowledge of data science related concepts (i.e. predictive analytics, unsupervised learning, machine learning, deep learning) and how to use them for solving real world problems
- Proficiency in Python and SQL is required. Knowledge of R programming is a plus.
Responsibilities
- Conduct data exploration and model specification
- Manage data flows and ETL operations
- Visualize data into dashboards
- Design and perform analyses of operational, transactional, and log data
- Build and maintain scalable data pipelines
- Develop, optimize, and manage ETL processes for structured and unstructured data
- Implement data quality checks and monitor pipeline performance
Other
- Hybrid – 3 days onsite
- 4 Months Contract (Possible further extension)
- Good communicator. Good presentation skills
- Consult with internal and external stakeholders to determine how best to apply analytical solutions that support business objectives
- Effectively communicate technical concepts to a non-analytic audience
