Data Scientist

US·AustinRemotemid

Data ScientistData

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Quick Summary

Key Responsibilities

Research and detect valuable data sources and automate collection processes Perform preprocessing of structured and unstructured data Design,

Requirements Summary

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,

Technical Tools

Data ScientistData

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.

Responsibilities

~1 min read

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

Requirements

~1 min read

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