Parallel Score
Data Science Engineer Job at Parallel Score. Please ensure you read the job requirements before applying for this position.
Parallel Score is a product development firm that develops data and user-centric solutions by leveraging design, engineering, and innovative thinking. We are a provocative product development agency that is focused on imagining and building highly interactive and user-driven experiences that push the limits of user design and development.
We are recruiting to fill the position below:
Job Title: Data Science Engineer
Location: Lagos
Employment Type: Full-time
Job Description
- In this role, you will primarily design, implement, and manage an analytical data infrastructure and work closely with other engineers and scientists to create robust and scalable solutions to flow data from various source systems into the data warehouse and end-user-facing applications.
Responsibilities
- Maintain algorithms and build data pipelines including support for new instrument hardware and software.
- Test algorithms for ELT annotated and non-annotated reference data.
- Work directly with other engineers and data scientists to flow data from various source systems into the data warehouse.
- Monitor and troubleshoot operational or data issues in data pipelines and Ensure Touch Product lines.
- Benchmark algorithm performances and researches and implements new technologies and/or practices to provide efficient process improvements.
- Design data schema and operate an internal data warehouse.
Qualifications
- Bachelor’s Degree in Computer Science, Engineering, Statistics, or related field required.
- Experience with Statistical modelling, Machine Learning, Data Science, or Data Engineering, and Computer vision.
- 2 or more years in Business Intelligence or Business Analytics.
- Experience with scripting languages such as; Python and Java
- Experience working on a SCRUM/Kanban team in a CI/CD environment and ETL Skills
- Experience with columnar databases and familiarity with statistical modeling and machine learning techniques
- Experience working with spark, lakehouse, Kafka
- Experience working on lots of data ingestion, messaging type of Project
- Experience with C++ / C# and Windows dll packaging.
- Experience with Scikit-learn package, Tensorflow or Pytorch, Pandas
- Knowledge about state of art models Mlflow, Spark, Sparknlp, SparkML
- Experience with writing SQL queries and ETL.
Skills:
- Excellent verbal and written communication.
- Must be able to use discretion and independent judgment.
- Must be able to work in a team environment.
- Must be able to pay close attention to details.
- Must be able to adapt and flex to a changing environment.
- Excellent analytical and quantitative skills.
- Ability to handle the high call volume.
- Excellent attendance and punctuality.
Method of Application
Interested and qualified candidates should:
Click here to apply