Data Scientist

Matrix Usa Inc; Madrid; Vor Ort; EUR 50.000 - 65.000; Vollzeit

Zusammenfassung

Matrix Usa Inc seeks a highly motivated Data Scientist to join our growing team. You will work with large-scale datasets, develop advanced analytical models, and collaborate with product, engineering, and business stakeholders to drive measurable impact.

This customer-facing role emphasizes practical analytics, end-to-end model development, deployment, and knowledge transfer. You will help translate complex data problems into actionable solutions across finance and operations.

Qualifikationen

• Bachelor's degree in a quantitative field.
• 2+ years in Data Science, Data Engineering, ML, or Big Data development.
• Strong Python and PySpark skills.
• Experience with large-scale data processing frameworks and ML pipelines.
• Experience with ML lifecycle tools such as MLflow or Airflow.

Aufgaben

• Design and implement data science solutions across the project lifecycle.
• Analyze large datasets to identify trends, anomalies, and insights.
• Develop and optimize ML models and analytics workflows.
• Perform feature engineering and data prep for predictive modeling.
• Collaborate with Product, Engineering, and Customer Success to translate requirements into solutions.
• Lead data science aspects of customer implementations and deployments.
• Build technical relationships with customers and partners.
• Provide recommendations to improve products and algorithms.
• Deliver training and knowledge transfer to end users.

Kenntnisse

Python

PySpark

MLflow

Airflow

SQL

Statistical Analysis

Ausbildung

Bachelor's degree in Data Science/CS/Math/Stats/Economics

Tools

MLflow

Airflow

Jobbeschreibung

We are seeking a highly motivated Data Scientist to join our growing team and help deliver innovative machine learning and analytics solutions for complex business challenges. In this customer-facing role, you will work with large-scale datasets, develop advanced analytical models, and collaborate cross-functionally with product, engineering, and business stakeholders to drive measurable impact.

Responsibilities

• Design and implement data science solutions throughout the project lifecycle.
• Analyze large and complex datasets to identify trends, anomalies, and actionable insights.
• Develop and optimize machine learning models and advanced analytics workflows.
• Perform feature engineering and data preparation for predictive modeling initiatives.
• Collaborate with Product, Engineering, and Customer Success teams to translate business requirements into technical solutions.
• Lead the data science aspects of customer implementations, pilots, and production deployments.
• Build strong technical relationships with customers and external partners.
• Provide recommendations to improve products, algorithms, and analytical capabilities.
• Deliver training and knowledge transfer to end users and stakeholders.
• Support investigation and resolution of data-related and analytical challenges.

Requirements

• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative field.
• 2+ years of experience in Data Science, Data Engineering, Machine Learning, or Big Data development.
• Strong programming skills in Python and experience with PySpark.
• Hands-on experience working with large-scale data processing frameworks and machine learning pipelines.
• Experience with ML lifecycle and workflow management tools such as MLflow, Airflow, or similar platforms.
• Strong analytical, problem-solving, and statistical modeling skills.
• Ability to communicate complex technical concepts to both technical and non-technical audiences.
• Experience working directly with customers or external stakeholders is a plus.

Preferred Qualifications

• Experience in financial services, fraud detection, risk analytics, compliance, or transaction monitoring.
• Familiarity with cloud-based data and machine learning environments.
• Experience investigating anomalies and extracting insights from high-volume datasets.
• Knowledge of machine learning model deployment and monitoring best practices.

Technical Skills

• PySpark
• Python
• MLflow
• Airflow
• SQL
• Statistical Analysis

This role is ideal for a data scientist who enjoys combining advanced analytics, machine learning, and business problem-solving to create impactful, scalable solutions.

Why Join Us?

You’ll work with a talented global team, contribute to meaningful technical initiatives, and help shape a high performing DevOps culture.

Matrix is a global, dynamic, and fast growing technology services and consulting company with over 17,000 employees worldwide. Founded in 2001, Matrix has grown through significant organic expansion and strategic acquisitions, executing some of the largest and most impactful technology projects in the market.

We specialize in the design, development, and implementation of advanced technologies, software solutions, and digital products. Our services include infrastructure and consulting, IT outsourcing and offshore delivery, training and assimilation programs, and acting as a trusted implementation and delivery partner for the world’s leading software vendors.

With deep expertise across both the private and public sectors—spanning Finance, Telecom, Healthcare, Hi Tech, Education, Defense, and Security—Matrix serves a strong customer base in Israel alongside a continuously expanding global client portfolio.

At Matrix, our people are at the heart of our success. We are a community of talented, creative, and dedicated professionals who are passionate about innovation and excellence. We actively attract, develop, and retain top talent, recognizing that every employee’s contribution is critical to our continued growth and future success.

Matrix’s success is built on a challenging and engaging work environment, competitive compensation and benefits, and meaningful career development opportunities. We foster a diverse, inclusive culture that encourages collaboration, continuous learning, and growth—together.

Join the winning team. Be challenged, grow your career, and enjoy the journey in a highly respected global organization.

To learn more, visit: www.matrix-ifs.com