Senior Data Engineer

1 week ago


Greenwich, Connecticut, United States Solomon Page Full time
About the Role

We are seeking a highly skilled Data Scientist Engineer to join our team at Solomon Page. As a key member of our organization, you will play a critical role in helping us make informed business decisions by analyzing large amounts of raw information.

Key Responsibilities:

  • Data Ingestion and Analysis: Design, develop, and implement data pipelines to collect, clean, and transform data from various sources.
  • Data Source Identification: Identify valuable data sources and automate collection processes.
  • Data Preprocessing: Undertake preprocessing of structured and unstructured data.
  • Data Labeling and Tagging: Assist with data labeling and tagging.
  • Trend Analysis: Analyze large amounts of information to discover trends and patterns.
  • Data Visualization: Present information using data visualization techniques.
  • Business Solutions: Propose solutions and strategies to business challenges.
  • Collaboration: Collaborate with engineering and product development teams.
  • Feature Engineering: Perform feature engineering for AI applications.

Requirements:

  • Education: BS/ MS /PhD in Computer Science, Engineering, or relevant field; graduate degree in Data Science or other quantitative field is preferred.
  • Experience: 5 + years of experience as a Data Scientist or Data Analyst.
  • Skills: Experience in data mining, understanding of machine learning and operations research, knowledge of SQL and Python, and familiarity with Java.
  • Tools and Technologies: Experience using ELK Stack (Elasticsearch, Logstash, Kibana), business intelligence tools (e.g., Tableau), and data frameworks (e.g., Hadoop).
  • AI/ML Experience: Experience with AI/ML-based solutions for data analysis is a big plus.
  • Soft Skills: Analytical mind and business acumen, strong math skills (e.g. statistics, algebra), superb analytical and problem-solving skills, excellent collaboration and communication (Verbal and written) skills, innovative mindset with a drive to improve upon existing systems, and outstanding organizational and time management skills.


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