Senior Expert Data Scientist GES ESO

Job Description

Location- Hyderabad Job model - Hybrid Purpose of the job We are looking for a highly analytical and detail-oriented Data Scientist to join our Data Quality Management team. This role will focus on ensuring the accuracy, completeness, and reliability of data ingested from SAP systems and logistics carriers. You will play a critical role in enhancing the integrity of our transportation visibility platform by identifying data issues, implementing quality controls, and collaborating with cross-functional teams to resolve data discrepancies. At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work to not only benefit our People, Cusotmers & Communities but also drive business value. Equal access to opportunities is a given, belonging is a shared feeling, authencity is celebrated. Key Responsibilities Design and implement data quality frameworks and monitoring systems for SAP and carrier data pipelines. Analyze large datasets to detect anomalies, inconsistencies, and gaps in data quality. Experience working on TransVoyant. Develop automated data validation and cleansing routines using Python, SQL, and other tools . Create dashboards and reports to communicate data quality metrics and trends. Collaborate with functional experts, business analysts, and domain experts to understand data flows and business rules. Work closely with Logistics operations, business units, SAP data entry functions, and carrier integration partners to resolve data issues at the source.Contribute to the development of data governance policies and best practices. We bring The opportunity to work for a company where sustainability is much more than a claim and is core to our strategy and purpose A flexible work environment that empowers people to take accountability for their work and own the outcome An eagerness to be one team and learn from each other to bring progress to life and create a better future Barrier-free communities within our organization where every employee is equally valued and respected - regardless of their background, beliefs, or identity A culture that prioritizes safety and well-being, both physically and mentally A space to grow by encouraging and supporting curiosity and an open mindset You bring Bachelor s or master s degree in data science, Computer Science, Information Systems, or a related field.5+ years of experience in data science, data engineering, or data quality roles. Strong experience working with SAP data structures (e.g., SD, MM, WM modules) and carrier logistics data (e.g., EDI, shipment tracking). Proficiency in SQL, Python, and data visualization tools (e.g., Power BI, Tableau).Experience with real-time data processing and streaming technologies.Knowledge and experience with SQL and cloud database systems such as AWS or CGP Comfortable using Microsoft Excel to analyze and summarize data, including graphs, charts, formulas, functions, solvers, and regression analysis. Able to identify trends, patterns, and outliers in logistics data and form insights and recommendations.Ability to work in a fast-paced environment while managing multiple projects/priorities simultaneously Excellent attention to detail, problem-solving, organizational and prioritization skills.Strong communication skills to collaborate effectively with cross-functional teams and present findings to both technical and non-technical audiences.Knowledge of supply chain, transportation and logistics operations is a plus