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Data Scientist

Full-time
Posted 5 years ago
Apply on company siteYou’ll apply directly with the employer on Breezy HR.
Added to ZestAmigo
Last seen on employer site

Where you can work

Remote

Open to candidates in United States

Locations named in the listing

  • Austin, Texas, United States
View location wording from the posting
  • Austin, TX, Remote (any location)
  • Austin, TX, US
  • Remote - US

Employer description

About the Data Scientist position

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions.

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.

Data Scientist responsibilities are:

  • Research and detect valuable data sources and automate collection processes
  • Perform preprocessing of structured and unstructured data
  • Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON)
  • Review large amounts of information to discover trends and patterns
  • Create predictive models and machine-learning algorithms
  • Modify and combine different models through ensemble modeling
  • Organize and present information using data visualization techniques
  • Develop and suggest solutions and strategies to business challenges
  • Work together with engineering and product development teams

Data Scientist requirements are:

  • 3+ years' experience of working on Data Scientist or Data Analyst position
  • Significant experience in data mining, machine-learning and operations research
  • Experience with data modeling, design patterns, building highly scalable and secured solutions preferred
  • Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines
  • Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC)
  • Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
  • MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred
  • Must be a U.S. Citizen
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