You'll play a crucial role in developing and maintaining scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for our clients. Responsibilities include designing data pipelines, collaborating on data architecture, optimizing performance, and ensuring data quality.
Job listings
Develop and maintain data ingestion pipelines and integrate data from various sources, such as APIs and relational databases. Collaborate with business and analytics teams to understand data requirements. Ensure quality, security, and governance of the ingested data. Document processes and best practices in data engineering.
As a Data Analyst you will bridge the gap between complex data and business operations. Transform improvised solutions into systematic, data-driven processes that scale. You'll investigate why processes work the way they do and identify optimization opportunities, then find the answers.
Uncover patterns that protect merchants, detect fraud, and unlock insights hiding in the intersection of place and payments. Apply data science techniques to spatial datasets and location-based problems to uncover financial behavior patterns, Design and run experiments on different forms of aggregating spatial data, train and validate geospatial models for business applications.
As a Lead Data Scientist, you will develop advanced recommendation engines and deploy machine learning models into production, leveraging expertise in Python, PySpark, and MLOps to enhance data-driven decision-making. This position offers an opportunity to lead and mentor a team while driving technical excellence and innovation in a dynamic environment.
Join our team of developers and drive our pursuit of technical excellence and continuous innovation. As a Senior Data Scientist, you will conduct exploratory data analysis, develop predictive models, and implement feature engineering techniques. Collaborate with the engineering team to ensure data integrity and present results to stakeholders effectively.