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Senior Data Scientist - 100% Remote (Indianapolis)

Nexus Analytics
Indianapolis
Estimated Salary
USD 110.000 – USD 140.000
New
Live Update
30 Juli 2026
Deadline
30 Jul 2027

Job Description

Join Nexus Analytics as a Senior Data Scientist and revolutionize how businesses leverage dataβ€”all from the comfort of your home office. We're seeking a passionate expert to drive data-driven decision-making for Fortune 500 clients while enjoying Indianapolis' thriving tech scene without leaving your living room. This fully remote role offers competitive compensation, unlimited PTO, and cutting-edge tools to accelerate your career.

Why Nexus Analytics? We're a remote-first company with 85% employee retention, flexible hours, and a commitment to work-life balance. Our proprietary AI platform processes 2+ terabytes of daily data, and you'll shape its evolution while mentoring junior scientists.

Responsibilities

  • Design and implement advanced ML models for predictive analytics and business forecasting
  • Collaborate with cross-functional teams to translate complex data insights into actionable strategies
  • Lead end-to-end data science projects from ETL to deployment using cloud platforms (AWS/GCP)
  • Present findings to C-level executives through compelling data visualizations and reports
  • Mentor junior scientists and contribute to open-source data science initiatives
  • Optimize data pipelines for 99.9% accuracy and sub-2-minute processing times

Qualifications

  • Master's degree in Data Science, Statistics, Computer Science, or related field
  • 5+ years of hands-on experience with Python, SQL, and ML frameworks (TensorFlow/PyTorch)
  • Proven track record of deploying production-grade ML solutions at scale
  • Expertise in statistical analysis and experimental design for A/B testing
  • Strong communication skills translating technical concepts to non-technical stakeholders
  • Portfolio demonstrating 3+ complex data science projects with measurable business impact
  • Certifications in AWS Machine Learning or Google Cloud Data Engineering preferred

Required Skills

Python SQL Machine Learning TensorFlow PyTorch AWS Data Visualization Statistical Analysis Cloud Computing

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