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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

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

Job Description

Are you ready to transform complex datasets into strategic business assets? Nexus Analytics Group is seeking a high-impact Senior Data Scientist to join our elite AI team. You will lead the development of machine learning models that drive product innovation, optimize customer experiences, and shape the future of our data-driven decision-making platform.

We offer a collaborative culture, cutting-edge tech stack, and the autonomy to solve real-world problems at scale.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and predictive algorithms.
  • Collaborate with cross-functional product teams to identify data-driven opportunities for growth.
  • Clean, transform, and analyze vast datasets to uncover actionable business intelligence.
  • Conduct A/B testing and rigorous statistical validation to optimize core product features.
  • Mentor junior data scientists and contribute to our internal machine learning engineering best practices.
  • Communicate findings and technical insights to non-technical stakeholders through compelling data visualizations.

Qualifications

  • Master’s degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, machine learning, or advanced analytics.
  • Advanced proficiency in Python or R, with expertise in machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
  • Proven track record of deploying models into production environments using cloud infrastructure (AWS/GCP).
  • Strong command of SQL and big data technologies like Spark or Snowflake.
  • Excellent communication skills with the ability to explain complex models to business leaders.

Required Skills

Python Machine Learning SQL AWS Statistics Predictive Modeling Data Visualization PyTorch

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