Lead the data science practice and deliver end-to-end machine learning and AI solutions for global clients.
This role is on-site.
Responsibilities
Lead, coach, and mentor a team of data science experts in big data analytics.
Define project scope, activities, and timelines to address specific client use cases.
Develop statistical, machine learning, and deep learning models using advanced analytical methodologies.
Design complex Tableau analytical solutions and define semantic models in DWH.
Collaborate with international teams to produce packaged solutions and Analytics-as-a-Service offerings.
Required Skills
8+ years of experience in quantitative roles, research, or data science.
Proficiency in Python and SQL.
Experience implementing end-to-end large-scale Machine Learning or AI projects.
In-depth knowledge in at least two domains: NLP, Graph/Network Analysis, Deep Learning/AI, Geospatial Analysis, Signal Processing, Predictive Modeling, or Recommender Systems.
Experience with at least one high-level programming language: C/C++, Java, or PHP.
Proven experience implementing Tableau solutions in an Agile environment.
Ability to translate technical concepts into business-focused messages for client workshops.
Experience managing client expectations in onsite or offsite consulting engagements.
Preferred Skills
Knowledge of enterprise statistical programming tools including SAS, Matlab, STATA, or SPSS.