Wipro - Data Scientist - Python/PySpark/SQL (4-6 yrs)

Role :

In this role, you will :

Join the Marketing Services Technology team to support data science initiatives

- Collaborate closely with Senior Data Scientists to generate Mastercard transaction data insights, perform market segmentations, and provide campaign recommendations.

- Identify relevant data sources, collect and clean large structured and unstructured data, and integrate variables into model-building processes. You will also improve model algorithms by conducting error analysis and optimizing performance.

- Communicate key insights from analyses, experiments, and data products to stakeholders, ensuring data-driven decision-making across the organization.

The ideal candidate for this position should :

- Bachelor's degree in mathematics, statistics, engineering, or analytics related fields. A graduate degree is preferred but not required.

- Solid understanding and practical experience in machine learning techniques, including supervised and unsupervised learning. Proficiency in implementing various algorithms to solve business problems.

- Expertise in statistical models such as regressions, time series analysis, and other predictive modeling techniques to analyze and interpret complex data sets.

- Proficient in programming languages such as Python, PySpark, and SQL, with hands-on experience in writing efficient, reusable code for data analysis and machine learning projects.

- Experience with big data technologies like Hadoop, including the ability to manage and process large datasets in distributed environments.

- Ability to work effectively under the guidance of senior data scientists, contributing to model development and problem-solving while learning and refining new skills.

- Strong communication skills, with the ability to clearly present complex findings and insights to team members, both technical and non-technical, ensuring alignment and understanding of project objectives and outcomes.

- Collaborative mindset, with a willingness to work in a team-oriented environment