Data Science Engineer at RX2 Solutions
Plymouth Meeting, PA 19462
About the Job
TITLE: Data Science Engineer
TYPE: Contract
LOCATION: Plymouth Meeting, PA
ONSITE/REMOTE/HYBRID: Hybrid
START DATE: September/October 2024
SHIFT: 1st Shift
We are looking for a Data Science Engineer
The role of the Data Science Engineer within the markets coordination department centers around leveraging data engineering expertise to craft predictive models and solutions geared towards enhancing operations forecasting
This vital component supports dispatch operations through real-time operations and projections, furnishing indispensable insights like day-ahead load forecasts and renewable energy estimations to guide the operating strategy
The incumbent will play a pivotal role in formulating performance metrics and devising improvement tactics, which includes the refinement of existing models and supporting the evaluation of potential solutions.
RESPONSIBILITIES
QUALIFICATIONS
EOE STATEMENT
We are an equal opportunity employer
We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law.
TYPE: Contract
LOCATION: Plymouth Meeting, PA
ONSITE/REMOTE/HYBRID: Hybrid
START DATE: September/October 2024
SHIFT: 1st Shift
We are looking for a Data Science Engineer
The role of the Data Science Engineer within the markets coordination department centers around leveraging data engineering expertise to craft predictive models and solutions geared towards enhancing operations forecasting
This vital component supports dispatch operations through real-time operations and projections, furnishing indispensable insights like day-ahead load forecasts and renewable energy estimations to guide the operating strategy
The incumbent will play a pivotal role in formulating performance metrics and devising improvement tactics, which includes the refinement of existing models and supporting the evaluation of potential solutions.
RESPONSIBILITIES
- Spearheading the compilation, identification, and preparation of data for in-depth analysis and insightful visualization
- Ensuring the accessibility and integrity of data by implementing mapping, cleaning, and transformation processes hence optimizing it for usage and storage, adhering to both technical and business specifications
- Automating routine tasks and refining code to meet production standards
- Facilitating the integration of processed data into various storage and reporting architectures, including data warehouses, live reporting systems, and analytics platforms
QUALIFICATIONS
- Bachelor's Degree in Data Engineering, Data Science, or Computer Engineering.
- A minimum of 5 years of experience in a related field, with a preference for candidates possessing over 7 years.
- Exposure to Purview, Snowflake, Qlik, or Tableau is advantageous.
- Proficient in data engineering practices.
- Competence in data modeling and design focused on performance and security, inclusive Exhibit a proactive approach to adopting new technologies and mastering Client methodologies.
- Demonstrated ability in the design and optimization of large-scale data pipelines, structures, and repositories.
- Proficient in SQL, Python/PySpark.
- Proficient in delivering engaging presentations.
- Familiarity with Oracle PL/SQL, Java.
- of partitioning, indexing, views, and effective data management strategies.
- Excellent communication abilities.
- Experience with Azure Synapse Analytics, Azure DevOps.
- Strong collaborative nature.
EOE STATEMENT
We are an equal opportunity employer
We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law.
