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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist - AI & ML

Nexus Data Insights
San Francisco
Salary Estimate
USD 140.000 – USD 180.000
Live Update
10 Mei 2026
Deadline
10 Mei 2027

Job Description

Are you ready to transform raw data into actionable business intelligence? Nexus Data Insights is seeking a visionary Senior Data Scientist to join our elite analytics team in the heart of San Francisco.


In this pivotal role, you will leverage cutting-edge Artificial Intelligence and Machine Learning techniques to solve complex problems. You won't just analyze data; you will architect the future of our predictive modeling strategies, directly impacting our bottom line and driving innovation across all departments.


Why Join Us?

  • Impactful Work: Your models will be used by stakeholders daily to make critical decisions.
  • Top-Tier Tech Stack: Work with Python, TensorFlow, and Cloud Architecture.
  • Culture of Excellence: Collaborate with industry leaders in a diverse and inclusive environment.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and predictive algorithms.
  • Perform exploratory data analysis (EDA) to uncover hidden patterns and insights within massive datasets.
  • Collaborate with product managers and engineering teams to translate business requirements into technical solutions.
  • Optimize and fine-tune existing models to improve accuracy and performance metrics.
  • Communicate complex data findings to non-technical stakeholders through clear visualizations and reports.
  • Stay abreast of the latest industry trends in AI, NLP, and Deep Learning.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Minimum of 5 years of professional experience in Data Science, Machine Learning, or Analytics.
  • Expert proficiency in programming languages such as Python (Pandas, NumPy, Scikit-learn) and SQL.
  • Strong experience with Deep Learning frameworks including TensorFlow or PyTorch.
  • Proven track record of deploying models to production environments.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python SQL Machine Learning Deep Learning TensorFlow PyTorch Pandas Scikit-learn Data Visualization AWS Spark Predictive Analytics

Ready to Take on This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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