VICTORY Logo

VICTORY

Data Scientist

Reposted 23 Days Ago
In-Office
Austin, TX, USA
Mid level
In-Office
Austin, TX, USA
Mid level
Analyze large data sets, build predictive models, automate data collection, and collaborate with teams to enhance decision-making and performance.
The summary above was generated by AI
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

VICTORY Austin, Texas, USA Office

111 West 8th Street, Austin, TX, United States, 78701

Similar Jobs

14 Hours Ago
Remote or Hybrid
USA
120K-180K Annually
Senior level
120K-180K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead research and engineering of production-grade LLM/GenAI systems for cybersecurity: design models and architectures, drive data labeling and evaluation, collaborate with product and engineering to deploy scalable solutions, mentor data scientists, set technical strategy, and advance AI safety, red-teaming, and applied ML innovations for detection and operational use.
Top Skills: Cloud TechnologiesDeep Learning FrameworksGenaiGpu TechnologiesLlmsPython
Yesterday
Remote or Hybrid
USA
149K-187K Annually
Senior level
149K-187K Annually
Senior level
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Lead advanced analytics and ML efforts to extract insights from large-scale historical data, design features and data representations for models and LLM/agentic systems, partner with product and engineering to build data pipelines and prototypes, evaluate AI workflows, and drive innovation through experiments and empirical analysis to inform product strategy.
Top Skills: Agentic Ai SystemsAws-Native Data And Ml StackBigQueryData PipelinesEmbeddingsFeature EngineeringGCPGraph DatabasesLarge Language Models (Llms)NoSQLRetrieval StrategiesSnowflakeSQLVertex Ai
Yesterday
Hybrid
91K-322K Annually
Senior level
91K-322K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead analytics initiatives to deliver strategic insights for consumer markets. Develop advanced analytics and BI solutions, manage teams, engage stakeholders, implement cloud analytics, and coach diverse teams to improve performance and decision-making.
Top Skills: QlikviewSpotfire

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account