WFP Senior Data Scientist

Job Responsibilities

• Design and development of Machine Learning, Artificial Intelligence and Statistical models.
• Support AI/ML projects individually or part of a project team.
• Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution.
• Select and apply the appropriate modeling approach based on principled understanding of the problem structure and underlying assumptions, while staying up to date on the latest AI/ML research.
• Ensure the robustness of any data science solution.
• Develop and communicate recommendations and data science solutions in an easy-to-understand way leveraging data to tell a story.
• Work effectively and gain credibility and respect of others including peers, clients and other stakeholders.

Required Qualifications, Capabilities, and Skills

• Master's Degree with 3+ years or Doctorate (PhD) with 1+ years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.
• Experience supporting AI/ML projects with multiple team members.
• Hands-on experience developing statistical models, machine learning models, and/or artificial intelligence models.
• Foundational understanding of the math and theory behind AI/ML algorithms, with the ability to reason about model assumptions, behavior, and limitations beyond empirical validation.
• Proficient in data science programming languages like Python, R or Scala.
• Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.).
• Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence.

Preferred Qualifications, Capabilities, and Skills

• Advanced expertise with Time Series and Operations Research techniques.
• Natural Language Processing(NLP)/Natural Language Generation(NLG), Neural Nets, or other ML/AI skills.
• Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google Cloud Platform(GCP).
• Previous experience leading highly complex cross-functional technical projects with multiple stakeholders.