Data Scientist
At a glance
Mid-level Data Science role at Victory. Remote, United States · full-time · no salary stated · we estimate $93,250–$195,000.
Victory has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Find useful data sources and set up automated ways to gather information
- Prepare structured and unstructured datasets, then examine them for patterns and trends
- Build, test and maintain predictive models and machine-learning algorithms, including combined models
- Present findings through visualizations and recommend ways to address business challenges
- Coordinate with engineering and product teams on data work
What you bring
- At least three years in a data scientist or data analyst role
- Strong background in data mining, machine learning and operations research
- Advanced R, SQL and Python skills, plus experience with visualization tools such as Tableau
- You must be a U.S. citizen
Who this fits
This mid-level, remote role is suited to someone who can turn data into models, findings and business recommendations. You must be a U.S. citizen.
From the employer
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:
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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
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
Data Scientist requirements are:
3+ years' experience of working on Data Scientist or Data Analyst position
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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
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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)
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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