Business Data Analyst

3 weeks ago

Philadelphia, Pennsylvania, United States Generis Tek Inc Full time
About the Role:
Generis Tek Inc. is seeking a skilled Data Scientist to join our team in Philadelphia, PA. As a key member of our analytics group, you will play a vital role in designing and implementing data solutions to drive business growth. Your primary responsibilities will include developing scalable data pipelines, applying advanced statistical analysis techniques, and communicating complex technical concepts to both technical and non-technical stakeholders.

The ideal candidate will have 6+ years of experience as a data engineer and data scientist, with expertise in leveraging Graph data science concepts, data engineering tools (e.g., SQL, Python, Scala), and machine learning frameworks (e.g., TensorFlow, H2O). You will also be responsible for leading collaborative efforts within cross-functional teams, providing strategic guidance, and contributing to the development of data-driven strategies.

Key Responsibilities:
  • Design, construct, install, and maintain data pipelines for optimal extraction, transformation, and loading (ETL) of data from various sources.
  • Develop scalable and efficient data pipelines to facilitate the collection, storage, and processing of large volumes of structured and unstructured data.
  • Apply advanced statistical analysis, machine learning, and data mining techniques to derive actionable insights from complex datasets.
  • Develop and implement predictive, prescriptive, and inferential models to solve business challenges and drive decision-making processes.
  • Collaborate with domain experts to understand business requirements and translate them into data-driven solutions.
  • Communicate complex technical concepts and analytical findings effectively to both technical and non-technical stakeholders.

Requirements:
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • Proven experience (6+ years) as a data engineer and data scientist, preferably in a fast-paced technology or analytics-driven environment.
  • Experience in leveraging Graph data science concepts to solve business use cases.
  • Strong proficiency in data engineering tools and languages (e.g., SQL, Python, Scala, ETL frameworks, data warehousing).
  • Comfortable and experienced working in Databricks, Spark environment.
  • Extensive experience with machine learning frameworks (e.g., TensorFlow, H2O) and data science libraries (e.g., SparkML).

Compensation:$120,000 - $180,000 per annum, depending on experience.

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