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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

TechNova Solutions
San Antonio
Estimated Salary
USD 95.000 – USD 125.000
New
Live Update
30 Juli 2026
Deadline
30 Jul 2027

Job Description

Join TechNova Solutions as a Senior Data Scientist and drive transformative insights for Fortune 500 clients! We're seeking a visionary analytics professional to architect cutting-edge machine learning models and translate complex data into actionable business strategies. Work in our state-of-the-art San Antonio hub alongside elite data engineers and product strategists, where your work directly impacts healthcare, fintech, and retail innovation.

We offer unparalleled growth opportunities, flexible hybrid work arrangements, and comprehensive benefits including equity options. If you thrive at the intersection of statistical rigor and creative problem-solving, this is your moment to excel in one of America's fastest-growing tech ecosystems.

Responsibilities

  • Design and implement advanced ML algorithms for predictive analytics and pattern recognition
  • Lead end-to-end data science projects from hypothesis to production deployment
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Develop scalable data pipelines and optimize data processing workflows
  • Create compelling data visualizations and executive dashboards using Python/R/Tableau
  • Mentor junior data scientists and establish best practices for model validation
  • Present findings to C-level stakeholders and influence strategic decision-making

Qualifications

  • Master's degree in Data Science, Statistics, Computer Science, or related field
  • 5+ years of professional data science experience with proven portfolio
  • Expertise in Python, SQL, and ML frameworks (Scikit-learn, TensorFlow)
  • Strong statistical modeling background with experimental design skills
  • Experience with cloud platforms (AWS/GCP/Azure) and big data technologies
  • Demonstrated ability to communicate technical concepts to non-technical audiences
  • Proficiency in data visualization tools and A/B testing methodologies

Required Skills

Machine Learning Python SQL Data Visualization AWS Statistical Modeling Big Data Predictive Analytics

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