Senior Data Scientist - Predictive Modeling

Placements24; Polokwane; Hybride; ZAR 900 000 - 1 400 000; Plein temps

Avantages offerts par ce poste

Remote working

Competitive salary

Health benefits

Development budget

Flexible hours

Global team

Résumé du poste

Placements24 seeks a Senior Data Scientist specializing in Predictive Modeling for a remote-first team. You will build, validate, and deploy sophisticated predictive models, analyze large datasets, and collaborate with stakeholders to translate insights into business decisions.

The role requires 5+ years in data science, a strong background in predictive modeling, and proficiency in Python or R with key libraries. Remote work flexibility and a fast-moving environment are offered.

Qualifications

• Master's or PhD in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
• 5+ years of professional experience in data science with a strong focus on predictive modeling.
• Proven experience in building and deploying various types of predictive models (regression, classification, time series forecasting).
• Proficiency in Python or R and libraries like scikit-learn, TensorFlow, PyTorch, Pandas, NumPy.

Responsabilités

• Develop, validate, and deploy advanced predictive models using statistical methods and ML algorithms.
• Analyze large datasets to identify trends, patterns, and opportunities for predictive insights.
• Clean, transform, and prepare data for modeling with high data quality.
• Collaborate with stakeholders to define modeling requirements and interpret results.
• Design experiments to test and refine predictive models.
• Stay updated on ML advancements and communicate findings to technical and non-technical audiences.
• Mentor junior data scientists and contribute to team knowledge.
• Develop data pipelines and automation for model deployment and monitoring.

Connaissances

Data science

Predictive modeling

Statistical analysis

Python/R

Formation

Master's or PhD

Outils

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

SQL

Description du poste

About the Role

Our client, a forward-thinking innovator in AI & Emerging Technologies, is seeking an accomplished Senior Data Scientist with a specialization in Predictive Modeling to join their vibrant, remote-first team. This role is pivotal in harnessing the power of data to build sophisticated predictive models that drive strategic business decisions. You will leverage advanced statistical techniques and machine learning algorithms to uncover insights and forecast future trends. Working remotely offers you the flexibility to contribute from anywhere while collaborating with a globally distributed team of experts. If you are passionate about uncovering hidden patterns in data and building models that have a tangible impact, this is the opportunity for you. Join us and help redefine the future of data-driven insights.

Key Responsibilities

• Develop, validate, and deploy advanced predictive models using statistical methods and machine learning algorithms.
• Analyze large, complex datasets to identify trends, patterns, and opportunities for predictive insights.
• Clean, transform, and prepare data for modeling, ensuring data quality and integrity.
• Collaborate with business stakeholders to define predictive modeling requirements and interpret model results.
• Design and execute experiments to test and refine predictive models.
• Stay abreast of the latest advancements in data science, machine learning, and predictive analytics.
• Communicate findings and recommendations effectively to both technical and non-technical audiences.
• Mentor junior data scientists and contribute to the team's knowledge base.
• Develop robust data pipelines and automation for model deployment and monitoring.

Requirements

• Master's or Ph.D. in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
• 5+ years of professional experience in data science, with a strong focus on predictive modeling and machine learning.
• Proven experience in building and deploying various types of predictive models (e.g., regression, classification, time series forecasting).
• Proficiency in programming languages like Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Strong understanding of statistical concepts and experimental design.
• Experience with SQL and working with large datasets.
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a remote environment.

Benefits

• Highly competitive salary and performance incentives.
• Fully remote working arrangement.
• Comprehensive health and wellness benefits package.
• Generous budget for professional development, conferences, and training.
• Flexible working hours.
• Opportunity to work on challenging and impactful data science projects.
• Supportive and collaborative remote team culture.