Advanced Data Science Associate

Job description   about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group  partners with clients to design and deliver solutions to help them tackle a broad range of business challenges.

Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

What Youll Do
Develop advanced and efficientstatistically effective algorithms that solve problems of highdimensionality.
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 other 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.

What Youll Bring
Amasters degree in computer science, Statistics, or a relevant field;
A robust academic performance history with coursework emphasizing analysis and quantitative skills.
A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.).
A proficiency in at least one programming language (e.g., Java/Python/R).

Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems.
Fluency in English.

Role:
Data Scientist

Industry Type:

Analytics / KPO / Research
Department:
Data Science & Analytics

Employment Type:

Full Time, Permanent
Role Category:  Data Science & Machine Learning
Education
UG:  Any Graduate
PG:  Any Postgraduate
Key Skills
Skills highlighted with '' are preferred keyskills
Java
algorithms  python  data analytics  data analysis hypothesis testing natural language processing  data mining  machine learning  sql  deep learning  r  data science  predictive modeling  statistical modeling  text mining  hadoop  big data  aws  statistics