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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist (Predictive Analytics)

Nexus Intelligence Group
San Francisco
Salary Estimate
USD 160.000 – USD 210.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you a visionary ready to turn complex datasets into strategic competitive advantages? Nexus Intelligence Group is seeking a Senior Data Scientist to spearhead our next-generation predictive modeling initiatives. You will work in a high-impact environment where your insights directly influence product roadmaps and executive decision-making. Join our world-class team in the heart of San Francisco to build scalable AI solutions that define the industry.

Responsibilities

  • Architect and deploy end-to-end machine learning pipelines for real-time predictive analytics.
  • Collaborate with cross-functional product and engineering teams to identify high-value opportunities for data-driven optimization.
  • Translate complex business requirements into clear, actionable technical specifications.
  • Conduct deep-dive exploratory data analysis to uncover hidden trends and customer behavior patterns.
  • Mentor junior data scientists and advocate for best practices in model deployment and MLOps.
  • Communicate findings and recommendations to C-suite stakeholders via compelling visual dashboards and presentations.
  • Continuously research and prototype emerging AI/ML technologies to maintain our technological edge.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, with a proven track record of shipping production-level models.
  • Expert-level proficiency in Python (Pandas, Scikit-learn, PyTorch or TensorFlow) and SQL.
  • Strong grasp of statistical modeling, hypothesis testing, and advanced machine learning algorithms (XGBoost, Deep Learning, NLP).
  • Demonstrated experience with cloud environments (AWS, GCP, or Azure) and containerization tools like Docker/Kubernetes.
  • Exceptional problem-solving skills and a product-centric mindset.
  • Excellent verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders.

Required Skills

Python SQL Machine Learning Deep Learning AWS MLOps Data Visualization Predictive Modeling

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