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Senior Data Scientist

Apex Data Innovations
San Francisco
Salary Estimate
USD 140.000 – USD 180.000
Latest
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Are you passionate about turning complex data into actionable business intelligence? Apex Data Innovations is seeking a talented and strategic Senior Data Scientist to join our elite analytics team in San Francisco.


In this role, you will be at the forefront of our AI initiatives, designing algorithms that enhance our predictive capabilities and drive product innovation. You will mentor junior data scientists, collaborate with engineering leads to deploy models into production, and shape the future of our data strategy.


Why join us? We offer a competitive compensation package, equity options, and a dynamic environment where your work directly impacts millions of users.

Responsibilities

  • Develop, train, and deploy state-of-the-art machine learning models using Python, TensorFlow, and PyTorch.
  • Design and implement robust data pipelines to ingest, clean, and transform large-scale datasets.
  • Perform in-depth exploratory data analysis (EDA) to uncover insights and validate hypotheses.
  • Collaborate with product management and engineering teams to translate business requirements into technical solutions.
  • Optimize model performance for scalability, latency, and accuracy in production environments.
  • Communicate complex findings and model performance metrics to stakeholders through clear visualization and reporting.
  • Stay current with the latest research in Deep Learning, NLP, and Reinforcement Learning.

Qualifications

  • Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, machine learning, or a related role.
  • Strong proficiency in Python (pandas, NumPy, Scikit-learn) and SQL.
  • Experience with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).
  • Deep understanding of statistical modeling and A/B testing methodologies.
  • Excellent verbal and written communication skills with the ability to present technical concepts to non-technical audiences.

Required Skills

Python Machine Learning SQL TensorFlow PyTorch Data Engineering Deep Learning Statistics A/B Testing Data Visualization Cloud Computing Spark

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