Zs - South San Francisco, CA

posted 2 months ago

Full-time - Mid Level
Remote - South San Francisco, CA
Professional, Scientific, and Technical Services

About the position

The Data Science Associate Consultant at ZS is responsible for developing advanced algorithms and applying statistical techniques to solve complex business problems. This role involves collaborating with clients to communicate analysis findings and contributing to the development of analytical assets. The position requires a strong foundation in data science, machine learning, and project management, with an emphasis on delivering impactful solutions in a consulting environment.

Responsibilities

  • Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality.
  • Utilize technical skills such as hypothesis testing, machine learning, and retrieval processes to apply statistical and data mining techniques to identify trends and analyze relevant information.
  • Collaborate with clients and stakeholders to integrate and effectively communicate analysis findings.
  • Contribute to the assessment of emerging datasets and technologies that impact the analytical platform.
  • Engage in the development of specific assets/accelerators that foster scalability.
  • Contribute to advancing thought leadership through research support and publication assistance.
  • Provide guidance and mentorship to Associate team members.

Requirements

  • A PhD Degree in Computer Science, Statistics, or a relevant field, or a master's degree with 3-5 years of relevant post-collegiate work experience.
  • Robust academic performance with coursework emphasizing analysis and quantitative skills.
  • Knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling).
  • Proficiency in at least one programming language (e.g., Java/Python/R).
  • Experience with tools/platforms such as the Hadoop ecosystem, Amazon Web Services, or database systems.
  • Proficiency in agile project planning and project management techniques.
  • Prior leadership experience from a relevant position.
  • Fluency in English.

Nice-to-haves

  • Relevant domain knowledge encompassing areas such as healthcare, transportation, technology, insurance, or related expertise/experience.

Benefits

  • Health insurance
  • Work from home
  • Internal mobility program
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