• You will be part of a team that is responsible for our new software generation in the cloud.

• You will be providing recommendations about the methods and ways in which our company obtains and analyses data to improve quality and the efficiency of data systems

• Your responsibilities also include developing and implementing data analysis, data collection systems and other strategies that optimize statistical efficiency and quality

• Acquiring data from primary or secondary data sources.

• Provide expertise in data wrangling, exploratory data analysis on large data sets.

• You will be responsible for interpreting data, analysing results using statistical techniques.

• Developing proofs of concepts to demonstrate the application of AI/ML capabilities in solving customer problems in collaboration with data scientists, product and other development teams.

• You work in an agile team with agile methods.

Requirements

• You have successfully completed a degree in computer science, mathematics or a degree with a quantitative focus (e.g. mathematics, statistics, physics, computer science) and at least 5+ years of production experience in designing, building data pipelines to ingest large volume of data for multiple used cases related to data science and data analysis.

• Work with the product teams to evaluate business needs and priorities, liaise with key business partners and address team needs related to data systems and management.

• Translate business requirements into technical specifications or documents as per project guidelines, establish and define details, definitions, and requirements of applications, components and enhancements.

• Participate in project planning; identifying milestones, deliverables and resource requirements;

• Build large-scale batch and real-time data pipelines as per requirements with data processing frameworks in Azure/AWS cloud platform.

• Develop data pipelines / APIs using Python, Azure/AWS Cloud methods for AI/ML algorithms.

• Experience in handling unstructured and structured complex data. Experience in NLP.

• Ability to write complex SQLs. Dedicated team player with a high sense of responsibility and interest in complex business management issues

• Motivated self-starter with a strong enthusiasm to learn. Strong communication skills.

• An analytical mind and inclination for problem-solving, attention to detail.