Lead and expand the Data Science practice while mentoring experts in big data analytics.
Responsibilities
- Lead, coach, and mentor a team of Data Science experts and guide junior delivery members.
- Define and execute data science solutions, including project scope, activities, and timelines.
- Develop statistical, machine learning, and deep learning models using advanced analytical methodologies.
- Discover and document insights within large-scale distributed datasets through exploratory analysis.
- Collaborate with international teams to produce packaged solutions, AaaS offerings, and PoCs.
Required Skills
- 8 years of experience in quantitative research or related work roles.
- In-depth knowledge in at least two domains: NLP, Graph Analysis, Deep Learning/AI, Geospatial Analysis, Signal Processing, Predictive Modeling, or Recommender Systems.
- Proficiency in Python and SQL.
- Experience implementing end-to-end, large-scale Machine Learning/AI projects.
- Fluency in SQL and relational databases.
- Experience with at least one general-purpose language: C/C++, Java, PHP, or Python.
- Strong ability to translate technical concepts into business-focused messages for clients.
Preferred Skills
- Knowledge of enterprise statistical tools such as SAS, Matlab, STATA, or SPSS.
- Experience implementing Tableau solutions in an Agile environment.