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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus Analytics
Austin
Salary Estimate
USD 120.000 – USD 180.000
Live Update
10 Mei 2026
Deadline
10 Mei 2027

Job Description

Join Nexus Analytics as a Senior Data Scientist and transform complex data into actionable business intelligence. We're seeking a visionary professional to lead cutting-edge analytics initiatives that drive strategic decision-making across our Fortune 500 clients. You'll work in our state-of-the-art Austin headquarters, collaborating with cross-functional teams to solve real-world challenges using advanced statistical modeling and machine learning techniques.

At Nexus Analytics, we foster innovation through continuous learning, flexible work arrangements, and competitive benefits including equity participation. Our culture values intellectual curiosity, data-driven problem-solving, and measurable impact. If you're passionate about turning data into competitive advantage, this is your opportunity to shape the future of analytics.

Responsibilities

  • Develop end-to-end data science solutions using Python, SQL, and cloud platforms (AWS/GCP)
  • Design and implement predictive models to optimize business KPIs and reduce operational costs
  • Create compelling data visualizations and executive dashboards using Tableau/Power BI
  • Lead A/B testing frameworks and causal inference projects to drive product improvements
  • Mentor junior data scientists and establish best practices for model deployment
  • Translate technical findings into strategic recommendations for C-level stakeholders
  • Collaborate with engineering teams to deploy models into production environments

Qualifications

  • 5+ years of experience in data science, analytics, or applied ML roles
  • Advanced degree in Statistics, Computer Science, Mathematics, or related field
  • Expertise in statistical modeling (regression, time series, clustering) and ML algorithms
  • Proficiency in data manipulation libraries (Pandas, NumPy) and visualization tools
  • Strong SQL skills with ability to optimize complex queries for large datasets
  • Experience with cloud data platforms (BigQuery, Redshift, Snowflake)
  • Track record of delivering measurable business impact through data-driven solutions
  • Excellent communication skills with ability to articulate technical concepts to non-technical audiences

Required Skills

Python SQL Machine Learning Statistical Modeling Data Visualization AWS/GCP A/B Testing Causal Inference Tableau/Power BI Pandas NumPy

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