Data Science Engineer

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.  

Desirables:

• 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.