A strong track record in building and mentoring high performing teams
Proficient verbal and written communication skills
Proficient interpersonal relations skills, ability to effectively collaborate with others and work as part of a team
Proficient initiative, organization and time management skills
Strong knowledge of distributed computing enterprise data platforms and MLOps
Ability work with high degree of independence, researches and resolves questions and problems, requests manager input and keeps manager informed
Minimum 6+ years statistical Analysis, Machine Learning, Computer Science, Programming, Data Storytelling
Bachelor's Degree or equivalent
Lead multiple tasks and projects; lead and guide stakeholders to solve new problems
Proficient experience with common data science toolkits and visualization tools
Understanding of regulatory and responsible AI frameworks and governance practices
Ability to influence and communicate with senior stakeholders and shape strategic initiatives
Proficient experience in machine learning techniques and algorithms
Demonstrated ability to manage multiple tasks and meet deadlines
Experience operating within cross functional data transformation initiatives
Proficient analytical and problem solving skills
Experience building advanced ML architectures within scalable and modern ML ecosystems and enterprise data platforms such as Snowflake or Databricks
Minimum 6+ years of data mining (preferably in a data-intensive financial company)
Minimum 6+ years big Data technologies such as Spark, AWS, Hadoop including traditional RDBMS such as Oracle and SQL Server
Proficient statistics skills, such as distributions, statistical testing, regression, etc.