Data Scientist (Western Cape) at PEP

Description
PURPOSE OF THE JOB 

• Are you passionate about turning data into actionable insights that drive business success? As a Data Scientist, you will leverage your expertise to uncover valuable trends, optimise marketing strategies and create predictive models that shape our customer engagement. Your role will be pivotal in assessing new data sources, refining data collection methods and building analytical systems that elevate our decision-making capabilities. Join us in transforming data into a strategic asset!

KEY RESPONSIBILITIES 

• Analyse large and complex data sets to uncover insights and trends that inform business decisions and drive growth
• Provide actionable insights to enhance customer targeting and segmentation strategies
• Design and build the feature stores for model training
• Develop predictive models to forecast customer behaviour and optimise marketing efforts
• Apply advanced analytics to inform strategic marketing decisions
• Communicate insights and recommendations to stakeholders and decision makers in a clear and concise manner
• Drive innovation by identifying new data sources and methodologies for improved customer understanding
• Stay up-to-date with the latest data science technologies, methodologies and trends

Requirements

ROLE  REQUIREMENTS 

• Bachelor's or Master's degree in a related field such as Statistics, Mathematics, Computer Science, Engineering or Operations Research
• Minimum of 5 years experience in data science, with a strong emphasis on predictive modelling and machine learning

Technical Skills:

• Strong proficiency in Python and SQL
• A basic understanding of code repositories, git and CI/CD
• Experience with machine learning algorithms (regression, classification, clustering, etc.)
• Experience with statistical analysis and hypothesis testing
• Knowledge of big data technologies such as GCP, Hadoop and Spark
• Familiarity with data visualisation tools (e.g. Looker Studio, Power BI, etc.)
• Strong Mathematical ability

Soft Skills:

• Excellent communication and presentation abilities to convey complex data insights to non-technical stakeholders
• Strong problem-solving and critical thinking skills to tackle ambiguous business problems
• Ability to work independently and collaboratively in a cross-functional team environment
• A self-driven team player who is results driven, assumes ownership of the given task and is
• committed to excellence
• Intellectual curiosity and a passion for exploring new data sources and methodologies
• Adaptability and willingness to learn new techniques and tools as needed
• Strong business acumen
• Competencies: Devotion to quality, Results oriented, Structuring, Listening Skills, Initiative, Vitality, Analysing and forming opinions, Innovating