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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

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

Job Description

Are you passionate about turning raw data into actionable business intelligence? Nexus Data Labs is seeking a visionary Senior Data Scientist to lead our advanced analytics initiatives. In this pivotal role, you will leverage cutting-edge machine learning techniques to solve complex business problems, optimize our product offerings, and drive revenue growth. Join a team of innovators dedicated to shaping the future of data-driven decision-making.

What you will do:

  • Develop, implement, and maintain scalable machine learning models and algorithms.
  • Perform exploratory data analysis (EDA) to uncover hidden patterns and trends within large, complex datasets.
  • Collaborate with cross-functional product and engineering teams to integrate data science solutions into production environments.
  • Communicate complex technical findings to non-technical stakeholders through clear visualizations and reports.
  • Stay current with the latest research in AI, NLP, and Deep Learning to recommend best practices.
  • Conduct A/B testing and statistical analysis to validate model performance and business impact.

Responsibilities

  • Design and deploy scalable machine learning models and algorithms.
  • Perform exploratory data analysis (EDA) to uncover hidden patterns and trends within large, complex datasets.
  • Collaborate with cross-functional product and engineering teams to integrate data science solutions into production environments.
  • Communicate complex technical findings to non-technical stakeholders through clear visualizations and reports.
  • Stay current with the latest research in AI, NLP, and Deep Learning to recommend best practices.
  • Conduct A/B testing and statistical analysis to validate model performance and business impact.

Qualifications

  • Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Minimum of 5+ years of professional experience in data science, machine learning, or statistical analysis.
  • Expert proficiency in programming languages such as Python or R.
  • Strong experience with SQL and large-scale database management systems (e.g., PostgreSQL, Snowflake).
  • Familiarity with deep learning frameworks (TensorFlow, PyTorch) and cloud platforms (AWS, GCP).
  • Exceptional problem-solving skills and the ability to work in a fast-paced, agile environment.
  • Strong written and verbal communication skills.

Required Skills

Python SQL Machine Learning TensorFlow PyTorch A/B Testing Statistical Analysis Data Visualization AWS GCP

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