Senior Data Scientist

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