Data Scientist - Fintech - Remote

Placements24; Gqeberha; Híbrido; ZAR 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stock options

Fully remote

Medical, dental, vision coverage

Dev budget for conferences/courses

Collaborative data-driven culture

Descripción de la vacante

Placements24 is seeking an innovative Data Scientist to join a cutting-edge Fintech team in a fully remote role. You will develop advanced analytical models, harness large datasets, and deploy ML solutions to optimize business strategies.

Responsibilities include designing ML models for fraud detection and customer segmentation, building data pipelines, and communicating insights to stakeholders. The role requires 5+ years of experience and expertise in Python/R, SQL, and ML libraries.

Formación

• PhD or Master’s in CS/Statistics/Mathematics or related quantitative field.
• 5+ years of professional Data Scientist / ML Engineer experience.
• Proficiency in Python or R and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Strong SQL and big data tech (Spark, Hadoop).

Responsabilidades

• Design, develop, and implement machine learning models for predictive analytics, fraud detection, and customer segmentation.
• Clean, process, and analyze large, structured and unstructured datasets from various sources.
• Collaborate with product managers, engineers, and business stakeholders to define data-driven solutions.
• Develop and maintain data pipelines and ETL processes for efficient data management.
• Communicate complex findings and insights clearly to technical and non-technical audiences via visualizations and reports.
• Stay abreast of the latest advancements in data science, ML, and AI.

Conocimientos

Python

R

SQL

Machine Learning

Big Data

Model Deployment

Communication

Python/R

Educación

PhD/ MSc in CS/Stats/Math

5+ years experience

Herramientas

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

Descripción del empleo

About the Role

Our client is looking for an innovative and experienced Data Scientist to join their cutting-edge Fintech team, operating fully remotely. In this role, you will harness the power of data to develop advanced analytical models, drive product innovation, and optimize business strategies. You will work with large, complex datasets, employing machine learning techniques to uncover insights and solve challenging business problems. This is an exceptional opportunity for a talented data professional to make a significant impact in a fast-paced, fully remote environment, contributing to the future of financial technology.

Key Responsibilities

• Design, develop, and implement machine learning models for predictive analytics, fraud detection, and customer segmentation.
• Clean, process, and analyze large, structured and unstructured datasets from various sources.
• Collaborate with product managers, engineers, and business stakeholders to define data-driven solutions.
• Develop and maintain data pipelines and ETL processes for efficient data management.
• Communicate complex findings and insights clearly to both technical and non-technical audiences through visualizations and reports.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.

Requirements

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist or Machine Learning Engineer.
• Proficiency in programming languages such as Python or R, and expertise in data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and big data technologies (e.g., Spark, Hadoop).
• Demonstrated ability to develop and deploy machine learning models into production environments.
• Excellent problem-solving skills and a passion for deriving actionable insights from data.

Benefits

• Highly competitive salary and stock options.
• Fully remote work environment with flexible scheduling.
• Comprehensive medical, dental, and vision coverage.
• Generous professional development budget for conferences and courses.
• Collaborative and innovative team culture focused on data-driven decision-making.