Senior Data Scientist - Predictive Modeling

Placements24; East London; Híbrido; ZAR 900 000 - 1 300 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health benefits

Retirement plan

Annual leave

Professional development

Hybrid work model

East London office

Resumo da oferta

Placements24 is seeking a Senior Data Scientist in East London, Eastern Cape, to develop and deploy predictive models and derive business insights from large datasets.

You will collaborate with stakeholders, design experiments, and mentor junior team members in a hybrid work environment that supports collaboration and focused work.

Qualificações

• Master's or Ph.D. in a quantitative field.
• 4+ years of data science with predictive modeling.
• Proficient in Python or R with ML libraries (scikit-learn, TensorFlow, Keras, statsmodels).
• Strong statistical modeling, ML algorithms, and experimental design.
• Experience with SQL, Pandas, Spark.

Responsabilidades

• Develop, validate, and deploy predictive models.
• Analyze large datasets for patterns, trends, and insights.
• Collaborate with stakeholders to translate needs into DS problems.
• Design experiments to test hypotheses and evaluate model performance.
• Communicate findings clearly to technical and non-technical audiences.
• Build and maintain data pipelines for model training and evaluation.
• Stay current with advances in data science and analytics.
• Mentor junior data scientists and contribute to knowledge base.

Conhecimentos

Predictive modeling

Machine learning

Python

R

Statistics

SQL

Pandas

Spark

Formação académica

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

Ferramentas

scikit-learn

TensorFlow

Keras

statsmodels

Python

R

SQL

Pandas

Spark

Descrição da oferta de emprego

About the Role

Our client, a dynamic leader in leveraging data for strategic decision-making, is seeking a talented Senior Data Scientist with expertise in predictive modeling to join their team in East London, Eastern Cape. This role is integral to developing sophisticated models that forecast trends, identify opportunities, and mitigate risks across the business. You will work with large, complex datasets, applying advanced statistical techniques and machine learning algorithms to extract actionable insights. The position is based in our client's modern offices in East London, Eastern Cape, offering a hybrid work model that blends collaborative team interactions with focused individual work. We are looking for a candidate with a strong analytical mindset, excellent problem-solving skills, and a passion for transforming data into valuable business intelligence. This is an excellent opportunity to contribute to impactful projects in a supportive and innovative environment.

Key Responsibilities

• Develop, validate, and deploy predictive models using statistical methods and machine learning algorithms.
• Analyze large datasets to identify patterns, trends, and correlations relevant to business objectives.
• Collaborate with business stakeholders to understand their needs and translate them into data science problems.
• Design and conduct experiments to test hypotheses and evaluate model performance.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Build and maintain data pipelines for model training and evaluation.
• Stay current with the latest advancements in data science, machine learning, and predictive analytics.
• Mentor junior data scientists and contribute to the team's knowledge base.

Requirements

• Master's or Ph.D. in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Proven experience (4+ years) in data science, with a strong focus on predictive modeling.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, Keras, statsmodels).
• Strong understanding of statistical modeling, machine learning algorithms (regression, classification, clustering, time series analysis), and experimental design.
• Experience with data manipulation and analysis tools (e.g., SQL, Pandas, Spark).
• Excellent analytical and problem-solving skills, with a keen eye for detail.
• Strong communication and presentation skills.
• Ability to work effectively both independently and as part of a collaborative team in a hybrid setting.

Benefits

• Our client offers a competitive salary, comprehensive health benefits package, and a retirement savings plan.
• Employees benefit from generous annual leave and professional development opportunities, including access to training, workshops, and conferences.
• The hybrid work model provides a balance between in-office collaboration and remote flexibility.
• The East London, Eastern Cape office is equipped with modern resources to support the team's work.
• We foster a culture of innovation and continuous learning.