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Senior Data Scientist | Machine Learning & AI | San Francisco, CA

Apex Innovations
San Francisco
Salary Estimate
USD 140.000 – USD 180.000
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

About the Role:
We are seeking a visionary Senior Data Scientist to lead our advanced analytics team at Apex Innovations. In this pivotal role, you will bridge the gap between complex statistical modeling and real-world business applications. You will be responsible for designing, developing, and deploying state-of-the-art machine learning models that drive key strategic decisions across our enterprise.

Why Join Us?
At Apex Innovations, we value innovation and impact. You will work in a collaborative environment with cutting-edge technology, competitive equity, and a culture that encourages continuous learning.

Responsibilities

  • Model Development: Design, train, and deploy scalable machine learning and deep learning models to solve complex business problems.
  • Data Strategy: Lead the end-to-end data pipeline architecture, ensuring data quality, integrity, and accessibility for stakeholders.
  • Experimentation: Design and conduct rigorous A/B testing and statistical experiments to validate hypotheses and measure impact.
  • Collaboration: Partner with product managers and engineers to translate business requirements into technical solutions.
  • Communication: Translate complex technical findings into actionable insights for non-technical leadership.
  • Research: Stay abreast of the latest academic research in AI/ML and evaluate its applicability to our products.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Experience: Minimum of 5+ years of professional experience in data science, machine learning, or AI.
  • Programming: Proficiency in Python (PyTorch, TensorFlow) and SQL.
  • Tools: Experience with cloud platforms (AWS/GCP/Azure) and big data technologies (Spark, Hadoop).
  • Statistical Knowledge: Strong foundation in statistical analysis, regression, and time-series forecasting.
  • Problem Solving: Demonstrated ability to work independently and handle ambiguity in fast-paced environments.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch SQL AWS A/B Testing Statistics Data Mining Big Data

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