Data Scientist

As a Data Scientist, your daily workload might include:

• Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.

• Communicate highly technical results and methods clearly to a wide variety of external clients.

• Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.

• Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.

• Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.

• Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.

• Plan and execute solutions' development from data gathering to intelligent decision making.

• Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.

Requirements:

Our target profile is candidates with...

• B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.

• Relevant experience as a data scientist, or similar fields that require developing ML/AI models. Over 2 years for B.S. degree and over 1 year for M.S.

• Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.

• Good understanding of statistics and probability, such as Bayesian methods and conditional probability.

• Applied experience in machine learning, such as conducting model experiments.

• Experience in version control systems, such as Git, GitHub.

• Programming experience in SQL or NoSQL is preferred.

• Familiarity with big data technologies, such as Spark.

• Experience in deep learning frameworks, such as PyTorch.

• Expertise in Natural Language Understanding and/or Risk Management applications.

• Familiarity with containerization frameworks, such as Docker.

• Research experience in optimization and natural language processing (NLP).