job summary:
analyzes the data needs of enterprise to build, optimize and maintain conceptual ml / analytics models. data scientist provides expertise in modeling & statistical approaches ranging from regression methods, decision trees, deep learning, nlp techniques, uplift modeling; statistical modeling such as multivariate techniques.
roles & responsibilities :
- design ml design and ops stack considering the various trade-offs.
- statistical analysis and fundamentals
- mlops frameworks design and implementation
- model evaluation best practices -train and retrain systems when necessary.
- extend existing ml libraries and frameworks -keep abreast of developments in the field.
- act as a sme and tech lead / veteran for any data engineering question and manage data scientists and influence ds development across the company.
- promote services, contribute to the identification of innovative initiatives within the group, share information on new technologies in dedicated internal communities.
- ensure compliance with policies related to data management and data protection
preferred experience:
- strong experience (3+ years) with building statistical models, applying machine learning techniques
- experience (3+ years) on big data technologies such as hadoop, spark, airflow/databricks
- proven experience (3+ years) in solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- proven experience (3+ years) on innovation implementation from exploration to production: these may include containerization (i.e. docker/kubernetes), big data (hadoop, spark) and mlops platforms.
- deep understanding of e2e software development in a team, and a track record of shipping software on time
- ensure high-quality data and understand how data, which is generated out experimental design can produce actionable, trustworthy conclusions.
- proficiency with sql and nosql databases, data warehousing concepts, and cloud-based analytics database (e.g. snowflake , databricks or redshift) administration