Data Science Associate Consultant

$142,500 - $157,125/Yr

Zs - Thousand Oaks, CA

Full-time - Mid Level

Remote - Thousand Oaks, CA

Professional, Scientific, and Technical Services

About the position

The position is focused on developing advanced statistical algorithms and leveraging data analytics to solve complex business challenges for clients in various sectors. The role emphasizes collaboration with clients and stakeholders to communicate findings effectively and contribute to the development of analytical assets. It also includes mentoring junior team members and advancing thought leadership through research and publications.

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, create figures, and analyze relevant information.
• Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings.
• Contribute to the assessment of emerging datasets and technologies that impact our 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.
• A 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, etc.).
• 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

• Comprehensive total rewards package including health and well-being benefits.
• Financial planning support.
• Annual leave.
• Personal growth and professional development opportunities.
• Robust skills development programs.
• Multiple career progression options and internal mobility paths.
• Flexible work arrangements combining work from home and on-site presence.