Data Scientist

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

1. Provide actionable insights to enhance customer targeting and segmentation strategies.
2. Build predictive models to forecast customer behaviour and optimise marketing efforts.
3. Advanced predictive and prescriptive analytics to inform strategic marketing decisions.
4. Drive innovation by identifying new data sources and methodologies for improved customer understanding.
5. Mentor and upskill data analysts to facilitate their transition into data science roles.
6. Ad hoc Responsibilities.

ROLE REQUIREMENTS

1. Bachelor's or Master's degree in a related field such as Statistics, Mathematics, Computer Science, Engineering or Operations Research.
2. Minimum of 5 years experience in data science, with an aptitude for predictive modelling and machine learning.
3. Technical Skills:
1. Strong proficiency in Python or R.
2. Expertise in BigQuery SQL for data extraction and manipulation.
3. Advanced knowledge of Google Workspace (Sheets) / MS Excel.
4. A basic understanding of code repositories, git and CI/CD.
5. Experience with machine learning algorithms (regression, classification, clustering, etc.).
6. Knowledge of big data technologies such as GCP, Hadoop and Spark.
7. Knowledge of statistical analysis and hypothesis testing.
8. Familiarity with data visualisation tools (e.g. Tableau; Looker Studio, etc.).
9. Strong Mathematical ability.
4. Soft Skills:
1. Excellent communication and presentation abilities to convey complex data insights to non-technical stakeholders.
2. Strong problem-solving and critical thinking skills to tackle ambiguous business problems.
3. Ability to work independently and collaboratively in a cross-functional team environment.
4. Intellectual curiosity and a passion for exploring new data sources and methodologies.
5. Adaptability and willingness to learn new techniques and tools as needed.
6. Business Acumen.