Senior Data Scientist (Big Data Analytics)

Placements24; Kimberley; Hybrid; CAD 101,000 - 152,000; Full time

Job summary

Placements24 is seeking a Senior Data Scientist with a specialization in Big Data Analytics to join our advanced analytics team in Kimberley. You will extract actionable insights from large-scale datasets and drive strategic decisions.

Lead projects, mentor junior data scientists, and contribute to data-driven strategy across the organization. The role requires expertise in statistical modeling, ML algorithms, data mining, and proficiency with big data ecosystems.

Qualifications

• Master's degree or PhD in Statistics, Mathematics, Computer Science, Data Science, or related quantitative field.
• 7+ years of experience in data science with strong focus on big data analytics and predictive modeling.
• Proven experience with Hadoop, Spark and related ecosystems.
• Programming in Python or R and SQL.
• Extensive knowledge of ML algorithms (regression, classification, clustering, deep learning).
• Experience with data visualization tools (Tableau, Power BI, Matplotlib).
• Strong statistical principles and experimental design.

Responsibilities

• Develop, test, and deploy advanced statistical and ML models for large datasets.
• Design data mining strategies to discover trends and insights.
• Build and optimize data pipelines using big data technologies.
• Collaborate with stakeholders to translate needs into data science projects.
• Visualize data and clearly communicate findings to diverse audiences.
• Mentor junior data scientists and guide projects.

Skills

Big data analytics

Predictive modeling

Machine learning

Data pipelines

Data visualization

Leadership

Communication

Python

R

SQL

Education

Master's or PhD in Statistics/Mathematics/Computer Science/Data Science

Tools

Hadoop

Spark

Tableau

Power BI

Matplotlib

Job description

About the Role

Our client is seeking an accomplished Senior Data Scientist with a specialization in Big Data Analytics to join their advanced analytics team in Kimberley, Northern Cape . This role is crucial for extracting actionable insights from complex and large-scale datasets, driving strategic decision-making across the organization. The ideal candidate will possess a deep understanding of statistical modeling, machine learning algorithms, data mining techniques, and proficiency in big data technologies. You will be responsible for developing sophisticated analytical models, building data pipelines, and communicating findings to both technical and non-technical stakeholders. This position demands a highly analytical and results-oriented individual with a passion for uncovering hidden patterns and trends in data. We are looking for a technical leader who can guide projects, mentor junior data scientists, and contribute significantly to our data-driven strategy. Your work will directly impact business outcomes by providing critical insights and predictive capabilities.

Key Responsibilities

• Develop, test, and deploy advanced statistical and machine learning models to analyze large datasets.
• Design and implement data mining strategies to discover trends, patterns, and insights.
• Build and optimize data pipelines for efficient data processing and analysis using big data technologies.
• Collaborate with business stakeholders to understand their needs and translate them into data science projects.
• Visualize data and communicate complex analytical findings clearly and concisely to diverse audiences.
• Stay current with the latest advancements in data science, machine learning, and big data technologies.
• Mentor junior data scientists and contribute to the growth of the data science team.
• Evaluate and recommend new tools and technologies to enhance data analysis capabilities.
• Ensure data quality, integrity, and security throughout the analytical process.
• Contribute to the development of data-driven products and strategies.

Requirements

• A Master's degree or PhD in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
• A minimum of 7 years of experience in data science, with a strong focus on big data analytics and predictive modeling.
• Proven experience with big data technologies such as Hadoop, Spark, and related ecosystems.
• Proficiency in programming languages like Python or R, and SQL.
• Extensive knowledge of machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Strong understanding of statistical principles and experimental design.
• Excellent problem-solving and analytical skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Experience leading data science projects is a significant advantage.

Benefits

Our client offers a highly competitive salary and an attractive benefits package, commensurate with extensive experience and specialized skills. This role provides a significant opportunity to work with massive datasets and cutting-edge big data technologies in Kimberley . You will be part of an innovative environment with ample opportunities for professional development and career advancement, contributing to pivotal business decisions through data.