Data Scientist

Job not on LinkedIn

🕒 March 31

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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VICTORY

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

☁️ SaaS

🔒 Cybersecurity

🤖 Artificial Intelligence

SaaS • Cybersecurity • Artificial Intelligence

VICTORY is a technology solutions company that provides a wide array of services aimed at digital transformation and business evolution. They specialize in cloud architecture, cybersecurity, AI and data science, DevOps/DevSecOps, mobile apps, websites, digital marketing, and e-commerce. VICTORY helps businesses leverage the newest technologies like AI to enhance decision-making, improve efficiency, and accelerate business growth. With expertise in security, cloud cost management, and Python development, they cater to enterprise, government, and clients in regulated industries.

📋 Description

• 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

🎯 Requirements

• 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.