Sr. Data Scientist

At Abacus, we specialize in technology, outsourcing, and people solutions, bringing nearly 40 years of experience shaped alongside the organizations we support. As a global professional services leader, our focus remains on providing bespoke solutions that enable organizations to create the future of business and embrace change for sustainable growth, powered by a global team of over 5,000 people.

Across digital transformation, emerging technologies, SAP enterprise solutions, outsourcing, and human capital, we support organizations in building environments that operate effectively and scale with the business. Today, this extends to more than 1,500 enterprise clients, where the focus remains on creating systems that are not only functional, but ready to adapt and evolve over time.

We are seeking an experienced and highly skilled Senior Data Scientist/Engineer to join our team. The ideal candidate will have a robust background in data science and engineering, a proven track record of working with large datasets, and the ability to lead projects and mentor junior team members.

• Analyze and interpret complex datasets to uncover trends, patterns, and actionable insights.

• Develop and implement advanced statistical models and machine learning algorithms to solve business problems.

• Design, develop, and maintain scalable data pipelines and architectures.

• Ensure data quality, integrity, and security across various sources.

• Optimize data storage solutions for efficiency and performance.

• Lead data science and engineering projects from conception to deployment.

• Coordinate with cross-functional teams, including product, engineering, and business stakeholders, to ensure successful project delivery.

• Define project scope, goals, and deliverables that support business objectives.

• Mentor and provide guidance to junior data scientists and engineers.

• Foster a collaborative and innovative team environment.

• Communicate complex technical concepts and insights to non-technical stakeholders.

• Stay current with the latest advancements in data science, engineering, and machine learning.

• Experiment with new tools, techniques, and technologies to continuously improve data processes and analytics.

• Deploy and monitor machine learning models in production environments.

• Continuously improve and maintain existing data models and infrastructure.

• Implement best practices for model management and version control.

• Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Engineering, or a related field.

• 5+ years of experience in data science, data engineering, or a related field.

• Proven experience leading data projects and managing teams.

• Extensive experience with data analysis, statistical modeling, and machine learning.

• Proficiency in programming languages such as Python, R, or Scala.

• Expertise in data processing frameworks like Apache Spark, Hadoop, or similar.

• Strong SQL skills and experience with relational and NoSQL databases.

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

• Advanced knowledge of data visualization tools like Tableau, Power BI, or similar.