Data Scientist

Key Skills

Aartificial intelligence, Algorithms, Analytical and Problem solving, Bayesian networks, Data science techniques, Data Visualization, Database, Docker, Git, Github, Machine learning techniques, Natural Language Processing (NLP), NoSQL, PowerBI, Python Programming, PyTorch, Spark Core, SQL, Tableau

Job Description

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).

Benefits

We think you'll enjoy working at Mozn. Here's why:

• We selectively choose to undertake projects with impact; our users and clients trust us to solve mission-critical problems.
• We move quickly, but carefully and confidently. Iterations happen on the scale of days to weeks, and we invest considerable effort in minimizing the operational overhead to empower you to do your best work.
• You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a product are given the freedom to do what they think is best.