Company Overview :

SAP Consultant is a leading provider of SAP consulting and implementation services, helping businesses optimize their operations and achieve their strategic goals. We partner with clients across diverse industries, leveraging the power of SAP solutions to drive innovation, improve efficiency, and enhance decision-making. Our team of experienced consultants delivers tailored solutions that address the unique challenges and opportunities of each client, ensuring successful SAP implementations and long-term value.

Role Overview :

As a Data Scientist at SAP Consultant, you will be responsible for extracting valuable insights from complex datasets to drive data-informed decisions for our clients. You will collaborate closely with SAP consultants, business stakeholders, and IT teams to understand business requirements, develop statistical models, and create compelling data visualizations. Your work will directly impact our clients' ability to optimize their business processes, improve customer experiences, and gain a competitive edge.

Key Responsibilities :

- Develop and implement machine learning models to solve business problems, improving predictive accuracy and operational efficiency for clients.

- Conduct statistical analysis and data mining to identify trends, patterns, and anomalies in large datasets, providing actionable insights to stakeholders.

- Design and build interactive dashboards and data visualizations using tools like Power BI or Tableau, communicating complex information clearly and effectively to diverse audiences.

- Collaborate with SAP consultants to integrate data science solutions into existing SAP systems, enhancing the value of SAP implementations for our clients.

- Communicate technical findings and recommendations to non-technical stakeholders, ensuring that data insights are understood and acted upon.

- Contribute to the development of data science best practices and methodologies within the company, fostering a culture of data-driven decision-making.

Required Skillset :

- Demonstrated ability to develop and implement statistical models and machine learning algorithms using Python (e.g., scikit-learn, TensorFlow, PyTorch).

- Proven expertise in data manipulation, cleaning, and analysis using SQL and Python libraries (e.g., Pandas, NumPy).

- Strong skills in data visualization and dashboard creation using tools like Power BI or Tableau.

- Experience with cloud computing platforms, particularly Azure, for data storage, processing, and model deployment.

- Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.

- A Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline.