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Data Science Engineer

Ziff Davis

Software & Data

IT & Telecoms GHS Confidential
1 month ago

Job Summary

Everyday Health Pro/P&P is looking for a data science engineer joining our data science team to support data engineering, programming and testing of data science algorithms/applications.

  • Minimum Qualification: Degree
  • Experience Level: Mid level
  • Experience Length: 2 years

Job Description/Requirements

What You’ll Do: 

  • Application and Data Management (40%) 
  • Oversee the operation of application workflows and databases within Databricks environments.  
  • Establish efficient data pipelines from AWS, SQL, and Kinesis streaming.  
  • Collaborate with Data Engineering, Business Intelligence, and Technology teams to architect applications and data flows.  
  • Enhance computational efficiency and storage performance.  
  • Data Science Programming (40%)  
  • Implement application designs using Python or Spark.  
  • Design, develop, and refine recommender systems and natural language processing models.  
  • Evaluate algorithms through testing, perform comparisons, and conduct result analyses.  
  • Manage GitHub for code deployment and version control.  
  • Knowledge Management (20%)  
  • Document and upkeep data science projects and programs.
  • Produce technical notes based on team discussions.  
  • Facilitate coordination among team members across the US and India.  


Job Qualifications:

  • A minimum of 2 years' programming experience, with a focus on data manipulation and analysis. 
  • Proficiency in programming languages: Python, Spark, SQL.  
  • Knowledge of data science, including neural networks and large language models.  
  • Proficient use of Git for version control, preferably GitHub.  
  • Bachelor’s or advanced degree in Computer Science, Information Management, or a related field.  



  • Prior experience with AWS, Databricks Spark, or other distributed computing platforms. 
  • Familiarity with Linux operating environments.  
  • Prior experience with API services.  
  • Knowledge of Business Intelligence tools such as Looker or PowerBI.  

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