Remote Senior Data Scientist

Placements24; Polokwane; Híbrido; ZAR 1.200.000 - 2.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stock options

Health insurance

Remote work

Paid time off

Home office stipend

Professional development

Descripción de la vacante

Placements24 is seeking a Senior Data Scientist for a fully remote, globally distributed fintech team. You will design, implement and deploy advanced ML models, working with large-scale data and cutting-edge tools to derive actionable insights that drive business decisions.

You will mentor junior data scientists, collaborate with engineering and BI teams, and stay at the forefront of data science innovations to deliver impactful results in a remote-first environment.

Formación

• Advanced degree in a quantitative field required.
• 5+ years in data science with ML focus.
• Proficient in Python or R and ML libraries.
• Strong SQL and large dataset experience.
• Cloud and big data tech familiarity a plus.

Responsabilidades

• Design, develop, and deploy sophisticated machine learning models and algorithms to address business needs.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Develop predictive models for customer behavior, risk, fraud, and market trends.
• Clean, process, and transform raw data into usable formats for analysis and modeling.
• Collaborate with engineering teams to integrate models into production systems.
• Communicate complex findings clearly to technical and non-technical stakeholders via visualizations.
• Stay abreast of the latest advancements in data science and AI.
• Contribute to data infrastructure and best practices.
• Mentor junior data scientists and share knowledge across the team.

Conocimientos

Analytical thinking

Communication

Mentoring

Problem solving

Remote collaboration

Educación

Master's degree or PhD in quantitative field

Herramientas

Python

R

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

SQL

AWS

Azure

GCP

Spark

Hadoop

Descripción del empleo

About the Role

Our client, a cutting-edge financial technology firm, is seeking a highly skilled and motivated Senior Data Scientist to join their globally distributed team. This is a fully remote position, offering the flexibility to work from anywhere. The successful candidate will play a crucial role in developing and implementing advanced analytical models, extracting actionable insights from complex datasets, and driving data-informed decision-making across the organization. You will work with large-scale datasets, applying machine learning, statistical modeling, and data mining techniques to solve challenging business problems in the fintech space. This role requires a proactive, self-driven individual with a passion for data and a proven ability to deliver impactful results in a remote-first environment. Collaboration with cross-functional teams, including engineering, product, and business intelligence, will be key.

Key Responsibilities

• Design, develop, and deploy sophisticated machine learning models and algorithms to address business needs.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Develop predictive models for areas such as customer behavior, risk assessment, fraud detection, and market trends.
• Clean, process, and transform raw data into usable formats for analysis and modeling.
• Collaborate with engineering teams to integrate models into production systems.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders through visualizations and presentations.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the development of data infrastructure and best practices.
• Mentor junior data scientists and contribute to team knowledge sharing.
• Drive the adoption of data-driven strategies across the company.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a strong focus on machine learning and statistical modeling.
• Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Strong experience with SQL and working with large datasets.
• Solid understanding of machine learning algorithms, statistical modeling techniques, and data mining principles.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving skills and the ability to think analytically.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
• Demonstrated ability to deliver impactful data-driven solutions.
• Experience in the financial services or fintech industry is highly desirable.

Benefits

• Competitive salary commensurate with experience.
• Performance-based bonuses and stock options.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Home office setup stipend.
• Opportunities for professional development, including conferences and training.
• Flexible working hours and a truly remote work culture.
• Chance to work on challenging problems with a talented, global team.