Saxon AI Logo

Saxon AI

Data Scientist

Reposted 26 Days Ago
In-Office
Austin, TX, USA
Senior level
In-Office
Austin, TX, USA
Senior level
The Data Scientist will design experiments, monitor metrics, build dashboards, evaluate data sets, and perform data analysis to inform operational decisions.
The summary above was generated by AI
Company Description

Saxon Global Inc. is a IT Consulting & Staffing Company located at Irving, TX

Job Description

Hello, 


Please find the below job details 

Position: Data Scientist

Duration: Contract

Location: Austin, TX

Responsibilities:
Operations:
- Designing and evaluating experiments
- Monitoring key metrics, understanding root causes of changes in metrics
- Building and analyzing dashboards and reports
- Building key data sets to empower operational and exploratory analysis
- Evaluating and defining metrics


Exploratory Analysis:
- Proposing what to build in the next roadmap
- Understanding ecosystems, user behaviors, and long-term trends
- Identifying new levers to help move key metrics
- Building models of user behaviors for analysis or to power production systems


Data Infrastructure:
- Working in Spark(Python or Scala), Hadoop and Hive primarily
- Should have ability to build and manipulate Spark RDD's
- Automating analyses and authoring pipelines via SQL and python based ETL framework


Basic Qualifications:
- Min. 6 years' of work experience with Data Architecture, and Java Opensource
- Min. of 3 years' of work experience with Sentiment Analysis and OpenNLP
- Min. of 3 years' of work experience with Big Data Analytics, and Data Mining and Machine Learning


Ranjith

Saxon Global Inc

Direct: 972-573-3644

Desk: 972-363-1009* 218

Qualifications

Bachelor's degree in Computer Science field and related field

Additional Information

All your information will be kept confidential according to EEO guidelines.

Similar Jobs

Yesterday
Hybrid
Austin, TX, USA
Mid level
Mid level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead AI, machine learning, and data science workstreams from methodology through production delivery. Develop scalable, maintainable analytical code, explore new methods, influence product decisions, and collaborate with engineering, product, business, and data teams. Translate technical tradeoffs into actionable recommendations, present findings to technical and business audiences, and deliver measurable business impact while managing risks and maintaining methodological quality.
Top Skills: CursorDatabricksDatabricks GenieDeep LearningForecastingGitGleanLlmsMicrosoft CopilotOperations ResearchPythonSQL
2 Days Ago
Hybrid
Austin, TX, USA
99K-232K Annually
Senior level
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads teams in designing and deploying scalable AI and machine learning solutions for consulting clients. Responsibilities include data wrangling, complex analysis, data modeling, AI system implementation, data pipeline and infrastructure oversight, deep learning, neural networks, data quality validation, and stakeholder collaboration. The manager coaches team members, manages performance, supports innovation, and applies Python, Java, and cloud technologies to build production-ready AI applications.
Top Skills: AWSCloud PlatformsData PipelinesDatabricksDeep LearningGCPJavaMachine Learning LibrariesAzureNatural Language Processing (Nlp)Neural NetworksPythonSnowflake
2 Days Ago
Remote or Hybrid
83K-197K Annually
Junior
83K-197K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Develop predictive pricing and underwriting models for property and specialty insurance products. Responsibilities include manipulating large datasets, testing hypotheses, evaluating statistical significance, creating visualizations, supporting pricing program deployments, adjusting models for state regulations, preparing regulatory documentation, and responding to Department of Insurance objections. The role collaborates with business stakeholders and data science teams to deliver data-driven solutions and explain technical findings to nontechnical audiences.
Top Skills: Python

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