Position: Middle Data Scientist
Company: Israel IT
Experience required: 1y
English level: upper

Enigmatos leverages in-depth vehicle data analytics to provide real-time actionable insights into vehicle fleet’s cyber health and operational efficiency.

Enigmatos applies its unique Deep Car Identity Profiling technology to extract and analyze vehicle data. Our proprietary machine learning and Big Data analytics algorithms, uncover a multi-dimensional picture of all fleet assets and assist our customers in building a variety of capabilities required to tackle current fleet challenges. With the Enigmatos platform, fleet operators, OEM’s, Tier 1 suppliers, insurance companies, and FMS providers can easily monitor the fleet’s cyber health, streamline operational efficiency, deliver more value to their customers and outpace their competition.

Enigmatos is looking for an experienced SW Team Leader with desire and ability to lead and develop cutting edge Automotive Cyber Security and Big Data SAAS. We are looking for a leader with hands-on coding and troubleshooting experience. You will be part of a dynamic team, and work with amazing talented people. This crucial role will give you a rare opportunity to craft and deliver a new class of Automotive Cyber Security and data science product line.

- Current stage of the project
Currently, they are providing their customers with many different consulting services in the domain of automotive cyber security, such as security review, penetration testing of the car's systems, and evaluating the security of any required systems. Our top-notch team of cyber security researchers and automotive experts harness their unique set of skills to challenge our customers’ infrastructure and vehicle architecture in order to assist them in building robust and secure vehicles.

- Plan of the project
Improving current as well as adding new features as well as troubleshooting the service for bugs, errors, etc. 

Requirements:

- We are looking for a Data Scientist with a proven experience of 1.5+ years in the field;
- Needs to poses skills to be able to process data, to analyze it on the basic level
- Knowledge of MongoDB and Google BigQuery; 
- Good experience with Python and jquery, python hands-on is s must. 
- Mongo databases are kept in Google Cloud, thus candidates shall be familiar with that.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. 
- Great statistical skills. 

Upper-Intermediate (B2)+

Responsibilities: 

- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Follow the company's guidelines on different data they want to parse from a database; 
- Take data and conduct analytics on the data 
will be able to show it on a new dashboard.

Benefits
- Work at an international company with high-tech software products;
- Informal and friendly atmosphere;
- Competitive remuneration;
- Opportunity for professional growth;
- English and Hebrew classes with a lot of fun;
- IT CLUSTER membership;
- Cool corporate events, team buildings;
- New big office with a lot of cool stuff;
- Library in the office;
- Gym in the office;
- Ping-pong and PS;
- Birthday gifts;
- Attention to every employee.