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Senior Data Scientist - San Francisco, CA

Apex Data Solutions
San Francisco
Salary Estimate
USD 160.000 – USD 220.000
Latest
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Are you ready to lead the next generation of data intelligence?

At Apex Data Solutions, we are redefining how businesses leverage big data to predict trends and optimize operations. We are looking for a Senior Data Scientist to join our elite analytics team in San Francisco. If you thrive in a fast-paced environment and love turning raw numbers into actionable business strategies, this is the role for you.

Why join us?

  • Work with state-of-the-art AI and Machine Learning frameworks.
  • Collaborate with cross-functional teams to solve complex problems.
  • Competitive salary and equity package.

Responsibilities

  • Model Development: Design, develop, and deploy advanced machine learning models and statistical algorithms to solve complex business problems.
  • Big Data Processing: Handle massive datasets using distributed computing frameworks like Spark and Hadoop.
  • Strategy & Insight: Translate complex data findings into clear, concise, and actionable insights for executive stakeholders.
  • Feature Engineering: Develop and optimize feature sets to improve model accuracy and performance.
  • Infrastructure: Collaborate with data engineers to ensure scalable and robust data pipelines.

Qualifications

  • Education: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Experience: Minimum of 5 years of professional experience in data science, analytics, or machine learning.
  • Programming: Proficiency in Python (Pandas, NumPy) and R.
  • Frameworks: Strong experience with TensorFlow, PyTorch, or Scikit-learn.
  • Databases: Expert level SQL skills and experience with cloud data warehouses (e.g., Snowflake, BigQuery).

Required Skills

Python SQL Machine Learning TensorFlow PyTorch Scikit-learn Big Data Data Mining Statistics

Ready to Take on This Challenge?

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

Apply Now

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