Reporting Structure

The role is part of Research and Innovation vertical.

Job Description

We are looking for a Data Science Engineer to analyse large amounts of raw information to find patterns, build data products and models to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math, statistics and Machine Learning. Critical thinking and problem-solving skills are essential for interpreting data.

We also want to see a passion for machine-learning and research to help us create artificial intelligence solutions, machine learning models and retraining systems

Primarily responsible to shape and build efficient self-learning applications.

Education

Masters in Computer science or higher

Experience

4-8 years of industry experience as a Data Science Engineer is a must have.

Industry

Information Technology / Data Science

Responsibility

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Research and implement appropriate ML algorithms and tools
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Create and maintain optimal data pipeline architecture
• Combine models through ensemble modeling
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Skills and Qualifications

• Proven industry experience as a Data Science and Machine Leaning Engineer
• Understanding of data structures, data modeling, data mining and software architecture
• Deep knowledge of math, probability, statistics and  Machine learning algorithms
• Mastery on Python and SQL.
• Familiarity with machine learning frameworks (like Keras/ Tensorflow/ PyTorch) and libraries (like scikit-learn)
• Experience with atleast one of the following big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases.
• Analytical mind and business acumen
• Strong math skills (e.g. statistics, algebra)
• Outstanding analytical and problem-solving skills
• Excellent communication and presentation skills
• Familiarity with Scala, R is a plus
• Programming ability in Java or C++ is a must
• Image Processing Knowledge would be a plus
• Experience using business intelligence & Visualization tools (e.g. Tableau, PowerBI) is desirable
• Industry certifications

Employment Type

• All positions are on fixed term contract on a full-time basis exclusively for ReBIT, initially for a period of three years, extendable by mutual consent.