Data Scientist - Predictive Modeling & Forecasting

Placements24; Kimberley; Hybride; CAD 90 000 - 130 000; Plein temps

Résumé du poste

Placements24 is seeking a Data Scientist specialized in Predictive Modeling and Forecasting to join their team in a fully remote capacity. The role involves end-to-end data analysis, model building, validation, and deployment, with collaboration across departments.

The ideal candidate has a strong background in statistics, ML, and data manipulation, and can translate data into actionable business recommendations. Remote work flexibility is provided along with competitive compensation.

Qualifications

• Master's or PhD in a quantitative field.
• 3+ years of data science experience.
• Proven experience developing and deploying predictive models (regression, classification, time series).
• Proficiency in Python or R and data science libraries (pandas, NumPy, scikit-learn, statsmodels).
• Experience with SQL for data extraction/manipulation.
• Familiarity with data visualization tools (Tableau, Matplotlib, Seaborn).
• Strong statistical and ML knowledge; excellent communication.

Responsabilités

• Develop and implement advanced statistical and ML models for predictive analytics and forecasting.
• Analyze large, complex datasets to identify trends and opportunities.
• Design and execute experiments to test model hypotheses.
• Build and maintain data pipelines for model training and inference.
• Communicate findings clearly to technical and non-technical stakeholders.
• Collaborate with business units to translate needs into DS problems.
• Monitor model performance in production and iterate improvements.
• Stay up-to-date with DS/ML advancements and document methodologies.

Connaissances

Analytical thinking

Problem-solving

Communication skills

Independent worker

Formation

Master's or PhD in Statistics/Data Science/Mathematics/CS/Economics

Outils

Python

R

SQL

pandas

NumPy

scikit-learn

statsmodels

Tableau

Matplotlib/Seaborn

Description du poste

About the Role

Our client, a data-driven organization at the forefront of its industry, is seeking a talented Data Scientist specializing in Predictive Modeling and Forecasting to join their team. This role offers the flexibility of remote work, allowing you to contribute your analytical expertise from anywhere. You will be responsible for developing sophisticated predictive models and forecasting techniques to drive critical business decisions and uncover actionable insights from complex datasets. This position involves the end-to-end process of data analysis, model building, validation, and deployment, working closely with stakeholders across various departments. The ideal candidate possesses a strong foundation in statistical modeling, machine learning, and data manipulation, with a proven ability to translate data into clear, impactful recommendations. You will leverage advanced analytical tools and methodologies to solve challenging business problems and optimize operational performance. This is an excellent opportunity to apply your skills in a dynamic and collaborative environment.

Key Responsibilities

• Develop and implement advanced statistical and machine learning models for predictive analytics and forecasting.
• Analyze large, complex datasets to identify trends, patterns, and opportunities.
• Design and execute experiments to test and validate model hypotheses.
• Build and maintain data pipelines for model training and inference.
• Communicate complex findings and recommendations clearly to technical and non-technical stakeholders.
• Collaborate with business units to understand their needs and translate them into data science problems.
• Monitor model performance in production and implement improvements as needed.
• Stay up-to-date with the latest advancements in data science, machine learning, and predictive modeling techniques.
• Document methodologies, models, and results thoroughly.

Requirements

• Master's or Ph.D. in Statistics, Data Science, Mathematics, Computer Science, Economics, or a related quantitative field.
• 3+ years of professional experience in data science or a related analytical role.
• Proven experience in developing and deploying predictive models (e.g., regression, classification, time series analysis).
• Proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., pandas, NumPy, scikit-learn, statsmodels).
• Experience with SQL for data extraction and manipulation.
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Strong understanding of statistical concepts and machine learning algorithms.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and manage projects effectively in a remote setting.

Benefits

This remote position offers excellent flexibility and the opportunity to join a forward-thinking team. Our client provides a competitive salary, comprehensive medical aid, and opportunities for professional growth, including access to relevant training and conferences. Enjoy a supportive work culture that values innovation and data-driven insights. This role is associated with our client's operations in Kimberley, Northern Cape , but is fully remote.