Senior Automotive Data Scientist — Remote & Impactful

Placements24; South Africa; Remote; ZAR 900.000 - 1.500.000; Vollzeit

Benefits dieser Stelle

Fully remote work

Flexible hours

Health, dental, vision insurance

Retirement plan

Professional development budget

Conference budget

Zusammenfassung

Placements24 in South Africa is looking for a Senior Data Scientist with a finance focus for a remote-first role. You will leverage advanced analytics, ML, and statistical modeling to build predictive models and drive data-driven strategies across the organization.

You will own end-to-end projects, design robust data pipelines, mentor junior data scientists, and communicate insights to non-technical stakeholders.

Qualifikationen

• Advanced degree in a quantitative field required.
• 5+ years in data science with finance focus.
• Proven ML/modeling and experimental design experience.

Aufgaben

• Design and implement ML models for financial forecasting and risk detection.
• Analyze large datasets to uncover trends and insights.
• Collaborate with product, engineers, and stakeholders to translate requirements.
• Build and maintain data pipelines for training and deployment.
• Develop KPIs to measure model performance.
• Communicate findings clearly to technical and non-technical audiences.
• Stay current with data science advances and best practices.
• Mentor junior data scientists and contribute to team growth.
• Shape the strategic direction of data science initiatives.

Kenntnisse

Statistical modeling

Machine learning

Data analysis

Communications

Project ownership

Ausbildung

Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics or related quantitative field

Tools

Python

SQL

Pandas

NumPy

Scikit-learn

TensorFlow/PyTorch

Spark

Jobbeschreibung

Senior Data Scientist - Finance - Remote

About the Role Our client is seeking a highly experienced Senior Data Scientist with a strong background in finance to join their cutting-edge, fully remote data science team. This role is ideal for a professional who is passionate about leveraging advanced analytics, machine learning, and statistical modeling to solve complex financial challenges. You will be instrumental in developing predictive models, optimizing financial strategies, and extracting actionable insights from vast datasets. This is a remote-first position, requiring excellent self-management, collaboration, and communication skills. You will work with diverse data sources and collaborate with cross-functional teams to drive data-informed decision-making within a leading financial institution.

Key Responsibilities

• Design, develop, and implement sophisticated machine learning models and statistical algorithms to address financial forecasting, risk assessment, fraud detection, and customer analytics.
• Analyze large, complex datasets from various sources to identify trends, patterns, and insights that drive business value.
• Collaborate closely with product managers, engineers, and business stakeholders to understand requirements and translate them into data science solutions.
• Build and maintain robust data pipelines and data infrastructure required for model training and deployment.
• Develop and track key performance indicators (KPIs) to measure the effectiveness of models and strategies.
• Communicate complex analytical findings and recommendations clearly and effectively to both technical and non-technical audiences through visualizations and presentations.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the team\'s technical growth and best practices.
• Contribute to the strategic direction of data science initiatives within the organization.

Requirements

• Master\'s or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• 5+ years of experience as a Data Scientist, with a significant portion focused on financial applications.
• Proven expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
• Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Strong understanding of financial concepts, markets, and risk management principles.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Superb communication and presentation skills, capable of explaining technical concepts to diverse audiences.
• Demonstrated ability to work independently and manage projects effectively in a remote environment.
• Experience with data visualization tools (e.g., Tableau, Matplotlib) is a plus.

Benefits

• Highly competitive salary and performance-based bonus structure.
• Fully remote work arrangement with flexible hours.
• Comprehensive health, dental, and vision insurance.
• Generous retirement savings plan with company matching.
• Significant professional development budget for conferences, courses, and certifications.
• Opportunity to work on challenging and impactful data science projects.
• Contribute to innovation in the insurance sector from your home base, potentially in Mossel Bay, Western Cape.