Position: Data Scientist
Company: Fractal Analytics
Experience required: 3y
Category: Data Science
English level: upper
Published: 2021-12-01T00:00:00+02:00

StreamFlux is a self-serve data science platform that allows the building of a batch and streaming pipelines in a matter of minutes. It performs data processing such as aggregation, transformations, filtering and enrichment of the data, in the cloud or on-premise. Through its advanced analytics and data science capabilities it offers model training, scoring, monitoring, and validating, thus enabling power users of enterprises such as data engineers, data architects, business analysts, and data scientists to build complex data engineering and machine learning pipeline at ease.

Responsibilities:

- Work with stakeholders throughout the organization to identify opportunities for leveraging client data to drive business solutions.
- Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture.
- Collaborate and Coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes.
- Ability to deliver AIML based solutions around a host of domains and problems, with some of them being: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization.

Requirements:

- 3+ years of experience working as a data scientist
- Must have productionized machine learning models at scale
- Experience with exploratory data analysis, statistical analysis, and testing, and model development
- Proficiency in Python, SQL
- Experience with PySpark, SparkR or Scala
- Good knowledge of Deep learning framework (Keras / PyTorch / Tensorflow )
- Working understanding in areas of machine learning methods and traditional statistical analysis, Bayesian modeling, traditional ML, Deep Learning, RL and optimization
- Strong experience in building Machine learning (ML) models and experience in deploying solutions in big data production systems on premise or cloud

We offer:

- Best team: a multicultural team of bright specialists and friendly, helping people;
- Challenge: plenty of complex and exciting projects from international clients;
- Income: competitive salary and end-year bonuses;
- Vacation: paid leave of 27 business days per year;
- No micromanagement: we encourage self-organization and trust
- Learning and professional development: access to company learning platforms with free courses, external certifications and learning programs, - -- free English classes
- Being healthy: free health insurance.
- Communication: company parties, celebrations, workshops in different locations, cross-locations and cross-projects exchange programs.