Data Scientist II
TrueMLSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Junior (1 to 2 years), Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries
Requirements
Candidates should possess 2-10 years of experience with Python and SQL, along with 2-10 years of experience building machine learning models and utilizing ML tools such as scikit-learn. Familiarity with data visualization in Python and R, and an understanding of underlying data systems like Cloud architectures, Hadoop, or SQL are also required. Fluency in English and Arabic is preferred, with Arabic being a significant advantage.
Responsibilities
The Data Scientist at Dataiku will co-develop production-level data science projects with customers, analyze and investigate various kinds of data and machine learning applications across industries and use cases, help users discover and master the Dataiku platform via user training, office hours, and consultative support, provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams, and develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams to enhance Dataiku’s functionality.
Skills
Python
SQL
Machine Learning
sklearn
Data Visualization
Python
R
Cloud architectures
Hadoop
Data Systems
Communication
Training
Collaboration
Dataiku
AI solutions for operationalizing business processes
About Dataiku
Dataiku develops AI solutions aimed at integrating artificial intelligence into everyday business operations. Their products focus on operationalizing AI, which helps businesses enhance their processes and outcomes. Key offerings include Generative AI, which creates new content or predictions, and MLOps, which facilitates collaboration between data scientists and operations teams to manage the machine learning lifecycle. Dataiku's solutions have proven effective, as demonstrated by their work with a retail client that improved forecast runtime by 900% with high accuracy. The company generates revenue by providing these AI solutions and has a partnership with AWS, enhancing their service offerings and scalability for clients.
Key Metrics
New York City, New YorkHeadquarters
2013Year Founded
$823.3MTotal Funding
SERIES_FCompany Stage
Data & Analytics, AI & Machine LearningIndustries
1,001-5,000Employees