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Data Scientist - Python specialist

Salary undisclosed

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Data/AI Team
Data Scientist Engineer to ingest and analyze large amounts of raw information.
You will wrangle, cleanse, and transform large datasets to prepare them for AI consumption. You will also develop and implement data pipelines to automate data ingestion, processing, and delivery for AI models.
Experience with AI, machine learning, and research is a big plus. Your goal will help our company analyze trends to make better decisions.

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Responsibilities

Design, develop, and implement data pipelines to collect, clean, and transform data from various sources
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Assist with data labeling and tagging
Analyze large amounts of information to discover trends and patterns
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Perform feature engineering for AI applications

What Skills Are Required:
MS or PhD in a Computer Science, Engineering, or relevant field.
8 + years of experience as a Data Scientist or Data Architect
Experience in data mining
Understanding of machine learning and operations research
Knowledge of SQL and Python; Python ML frameworks familiarity is a plus; familiarity with Java is a big plus
Experience using ELK Stack (Elasticsearch, Logstash, Kibana)
Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)
Strong math skills (e.g. statistics, algebra)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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