Job Functions• Research and detect valuable data sources• Automate collection processes• Preprocess structured and unstructured data• Design, implement, and deliver maintainable code• Analyze large amounts of information to discover trends and patterns• Create predictive models and machinelearning algorithms• Modify and combine different models through ensemble modeling• Organize and present information using data visualization techniques• Develop and suggest solutions to business challenges
Job Requirements• 3+ years' experience in Data Scientist or Data Analyst position• Significant experience in data mining, machine learning, and operations research• Experience with data modeling, design patterns, building scalable solutions• Prior experience installing data architectures on Cloud providers• Good experience using business intelligence/visualization tools and data frameworks• Advanced knowledge of R, SQL, and Python• Familiarity with Scala, Java, or C++• MA or PhD degree in Computer Science, Engineering, or other relevant area• Graduate degree in Data Science or other quantitative field (preferred)• U.S. Citizen
Skills• Data mining• Machine learning• Operations research• Data modeling• Design patterns• Building scalable and secured solutions• Cloud providers (AWS, GCP, Azure)• DevOps tools• Business intelligence/visualization tools (Tableau)• Data frameworks (Hadoop, DataFrames, RDDs, Dataclasses)• Data formats (CSV, JSON, Parquet, Avro, ORC)• Programming languages (R, SQL, Python, Scala, Java, C++)• Git/Github, Secrets, Configurations, Yaml/JSON
Soft Skills• Critical thinking• Problemsolving skills• Analytical skills• Passion for machine learning and research• Knack for analysis, math, and statistics
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
Life at Victory
Victory is the world's leading Hypernetic Solutions consultancy, delivering business evolution through technology, data-driven process, and cross-disciplinary experience to create transformative business solutions.
Digital transformation advances businesses operations, processes, competencies and models to fully leverage the changes and opportunities of a mix of digital technologies and their accelerating impact in a strategic and prioritized way, with present and future shifts in mind.
Practice Areas:
Engineering & Infrastructure - Executive Leadership Deploying Solutions for Complex Challenges.
Marketing Technology & Optimization - Technology and Process Solutions Leading an Increased Bottom Line.
Applied Technology - Emerging Technology Leadership from Strategy through Execution.
Syndicate - Early Stage Organizational and Product Focused Leadership.
Karma - Accelerated Project Execution and Scale.
Globally deployed from Austin, Texas
VICTORY CTO, LLC (c) 2019 ALL RIGHTS RESERVED
Thrive Here & What We Value1. Innovative design and layout for client websites2. Fast-paced environment with agile/scrum development3. Professional development, staying up-to-date with emerging technologies4. Clean and artful web design emphasis5. Usability and simplicity in website development6. Creative problem solving7. Strong team collaboration and communication8. Flexible work arrangements (onsite/remote, 40hrs/week)9. Data-driven decision making with a focus on quality assurance and data protection
