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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist - AI & Machine Learning

Nexus Analytics Solutions
San Francisco
Salary Estimate
USD 170.000 – USD 230.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Analytics Solutions at the forefront of data-driven innovation. We're seeking a visionary Senior Data Scientist to architect transformative AI solutions that reshape industries. In this pivotal role, you'll leverage cutting-edge machine learning to decode complex datasets and deliver actionable intelligence that powers our clients' strategic decisions. Our collaborative culture thrives on curiosity and intellectual rigor, offering unparalleled opportunities to pioneer next-gen analytics in a dynamic, growth-oriented environment.

Responsibilities

  • Design and implement scalable ML pipelines using Python, TensorFlow, and PyTorch
  • Develop predictive models for forecasting, classification, and anomaly detection
  • Translate business requirements into technical solutions through rigorous A/B testing
  • Lead data visualization projects using Tableau and D3.js to communicate insights
  • Collaborate with cross-functional teams to integrate models into production systems
  • Present findings to C-level executives and technical stakeholders
  • Mentor junior data scientists and foster innovation in the team

Qualifications

  • Master's or PhD in Data Science, Statistics, Computer Science, or related field
  • 5+ years of experience building production-level ML models
  • Expert proficiency in Python, SQL, and cloud platforms (AWS/GCP/Azure)
  • Strong portfolio demonstrating end-to-end data science projects
  • Deep understanding of statistical modeling and experimental design
  • Experience with big data technologies (Spark, Hadoop, Kafka)
  • Excellent communication skills with technical and non-technical audiences
  • Published research or patents in data science or ML preferred

Required Skills

Python Machine Learning TensorFlow PyTorch SQL AWS Data Visualization Statistical Modeling Big Data A/B Testing

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