Data Science Expert - Quality & Test Engineering

Key Skills

Java Programming, SAP, Python Programming, SQL, NoSQL, NumPy, Bayes, matplotlib, seaborn

Job Description

The Engineering Cross Functions (ECF) unit strives to ensure transformative program and quality management services along with testing, test automation, test tooling for in-time quality deliveries of the core of Intelligent Enterprise, the S/4HANA Cloud. ECF drives next-gen q-strategy, q-measures, release promises (by managing dependencies and guardrails), internal validation with inhouse tool(s) and its platform and reporting services to ensure customers leverage high quality S/4HANA Cloud services to generate business value. Within ECF, we have the S/4HANA Test Engineering (STE) unit which is a strong hub of expertise in Automation, Functional, Non-Functional and Process Tests, Jenkins & Docker Lifecycle tests, modern Tools as well as strategic topics such as 1S4HANA, Continuous Feature Delivery, Central Business Configuration for Quality and Program Management, to name a few. Innovation and excellence run deep into the culture and mindset of the unit, backed by a plethora of awards won consistently over the years. STE houses the proud winners of the SLI Grand Champions Award - 2021 for Intrapreneurship and Enablement, S/4 HANA India Master Craftsperson Awards for two consecutive years in a row, the global iERP Challenge - 2020, iRPA challenge for the previous year, the IEG Innovation Contest last year (SALT 2.0), as well as contributors to several patents, Product and Process innovations, publications, keynotes, and events.

We welcome curiosity/interest in reimagining quality/test engineering practices with the use of advanced data techniques such as clustering, neural networks, decision trees, and the like for deriving business insights. Extend existing data capturing mechanisms to create the future predictive models and achieve higher quality of SAP S/4HANA Cloud. In this role, one will be working closely with the S/4HANA Test Engineering leadership team and deliver results that have an impact on business outcomes.

As a data scientist one requires to discover the information hidden in vast amounts of data generated from quality/test engineering processes and practices, make smart decisions towards quality of product shipped to customers. Primary focus in this role is to apply data mining techniques, performing statistical analysis, and lead initiatives to drive data science practices across teams towards building high quality prediction systems. Ideal candidate for this position will have - comprehensive understanding of data science concepts and machine learning algorithms with strong programming skills, professional experience as a data science QA/Software Test expert, and exposure to working in a dynamic cross functional environment. Coding skills are central to this job role, mastery over programming languages like Python, SQL, R etc. and experience in using different statistical models towards data cleaning, preparation of data for practical use, data mining with advanced data science techniques; are critical for success.

The Role

• Work with stakeholders of SAP Engineering Cross Function and S/4HANA Test Engineering teams to identify opportunities and drive value expansion towards achieving impeccable quality for SAP S/4HANA Cloud
• Derive insights from test engineering data and enable QPA/Management to make smart decisions in achieving higher quality of SAP products
• Leverage test engineering data to build, and optimize classifiers using machine learning techniques to reimagining quality/test engineering practices
• Enhance data collection procedures to include information that is relevant for future predictive models in achieving higher quality of SAP products
• Create automated anomaly detection systems using advanced data techniques and machine learning concepts, track its performance for the business outcomes. Expand outcomes of quality/test engineering teams with the help of Data Science concepts
• Drive data science practices across S/4HANA Test Engineering teams to expand use of Data Science and machine learning concepts

Role Requirements

• 12-16 years professional experience as a data science QA/Software Test Engineering expert
• Experience with data visualization tools like Seaborn, Matplotlib, etc. and proficiency in using libraries required for exploratory data analysis like Pandas, Numpy etc.
• Excellent understanding of machine learning techniques and algorithms, such as Linear Regression, Logistic Regression, k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Experience with NoSQL databases, such as MongoDB, Cassandra, SAP HANA etc.
• Applied statistics skills, such as distributions, hypothesis testing, probability, regression, etc.
• Mastery over programming languages like Python, SQL, R etc.
• Good communication skills, Good data storytelling, and Data-oriented personality