[Hiring] Data Engineer/Data Scientist @Recutify

Role Description

The Data Engineer/Data Scientist will be responsible for the following:

• Experience in data connection, extraction from different systems including both cloud-based and on-premise systems (e.g. Azure, Oracle, SAP, BMC, SNOW, Salesforce) and transformation & loading into the process mining tool.
• Support validation of data (counts, values between source systems and process mining tool).
• Understanding of process insights by creating KPIs and actions, identifying process inefficiencies, and understanding the root causes.
• Experience/basic knowledge working with ERP and other similar systems (e.g. Azure, Oracle, SAP, BMC) & understanding of basic data structure, reports, formats from multiple source systems.
• Develop workflows to monitor processes, detect anomalies, and turn those insights into real-time automated preventive or corrective actions using Action engine, Action flows, and other capabilities (desired).
• Understanding of data modeling, data structure, reports, formats from multiple source systems.
• Process mapping and identifying non-value add steps to create lean and agile processes.

Qualifications

• Basic knowledge on ERP processes like FNA/Procurement/Banking/Insurance/HRO.
• Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests.
• Critical thinking and creative problem-solving skills, as well as the ability to apply theoretical concepts and best practices to solve business problems.
• Basic understanding of IT application lifecycle and methods.
• Able to visualize & create dashboards on KPIs in line with client expectations.

Requirements

• Minimum 1-2 years of experience in Celonis Process Mining as a Data Engineer/Data Scientist.
• Experience with ETL/ELT and BI tools (e.g., Tableau, Power BI).
• Experience in SQL/PQL scripting & knowledge of data mining, should apply complex queries to build the transformation (e.g. Joins, union, window functions).
• Knowledge of process improvement techniques/tools and Process Mining/Analytics.
• Basic knowledge of Python scripting, should be familiar with (Numpy, Pandas, Seaborn, Matplotlib, SKLearn).

Desired Technical Skills

• Experience in other Process/Task Mining Tools (e.g. Signavio, Software AG, FIQ, Soroco).
• Understanding of enterprise systems (ERP, CRM, etc.) or CRM/Order Management Systems (Preferably SAP/Oracle/MS Dynamics/SNOW/Salesforce/Remedy).
• Experience in ML modeling via Python or R is a plus.

Professional Skills

• Strong communication and presentation skills.
• Understanding of business processes.

Soft Skills

• Self-starter & quick learner.
• Ability to learn new technologies and process improvement techniques.
• Ability to work in various time zones to support various global rollouts.

Education

• University degree in Computer Science / Information Technology / Data Scientist Diploma / Certification.