Job Opportunity – Data Scientist at CRDB Bank Plc, June 2024. CRDB Bank Plc, a leading financial institution in Tanzania, seeks a highly skilled Data Scientist to join their Executive Department at the Tanzania Head Office. This position, available from June 2024, is a unique opportunity for a talented individual to leverage their statistical analysis, programming, and domain knowledge expertise to extract valuable insights and solve complex problems using data-driven approaches.

The successful candidate will play a critical role in driving the bank’s data science initiatives, contributing to informed decision-making, and achieving strategic business goals.

• Position: Data Scientist
• Department: Executive
• Location: Tanzania Head Office
• Number of Openings: 1

Job Purpose

The Data Scientist will combine expertise in statistical analysis, programming, and domain knowledge to extract valuable insights and solve complex problems using data-driven approaches.

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Principal Responsibilities

Data Exploration and Preparation

• Understand the available data and perform exploratory data analysis (EDA).
• Assess data quality, handle missing values, and outliers, and transform raw data into a format suitable for analysis.

Statistical Analysis and Modelling

• Employ statistical techniques to identify patterns, relationships, and trends within the data.
• Build predictive and prescriptive models, such as regression, classification, clustering, time series, and optimization models to make informed decisions and generate actionable insights.

Machine Learning and AI

• Apply machine learning algorithms and artificial intelligence techniques to train models that can automatically learn from data, make predictions, and classify information.
• Select appropriate algorithms, and perform model training, optimization, and evaluation to ensure accurate results.

Feature Engineering and Selection

• Engineer relevant features from the available data to enhance model performance.
• Identify the most informative features and employ techniques like dimensionality reduction to eliminate irrelevant or redundant variables.

Data Visualization and Communication

• Create visual representations of data, such as graphs, charts, and interactive dashboards, to communicate findings effectively to stakeholders.
• Explain complex technical concepts in a clear and concise manner to facilitate decision-making.

Collaboration and Domain Expertise

• Collaborate with cross-functional teams, including business analysts, engineers, and domain experts, to understand the context and requirements of the analytics projects.
• Incorporate domain knowledge into the analysis and ensure that the results align with business goals.

Model Deployment and Monitoring

• Deploy models into production systems, integrating them with existing software or infrastructure.
• Monitor model performance, track key metrics, and implement strategies to retrain or update models when necessary to maintain accuracy and relevance.

Data Privacy and Ethical Considerations

• Adhere to ethical guidelines and ensure compliance with data privacy regulations.
• Handle sensitive information responsibly and implement safeguards to protect data privacy and security.

Continuous Learning and Innovation:

• Stay up-to-date with the latest advancements in data science, machine learning, and analytics.
• Explore new techniques, tools, and methodologies to improve skills and contribute to the innovation and growth of the advanced analytics unit.

Qualifications Required

• A bachelor’s degree in a relevant field such as data science, statistics, machine learning, computer science, mathematics, or a related field.
• Proficiency in programming languages like Python or R.
• Familiarity with popular data science tools and libraries such as Jupyter Notebook, Pandas, NumPy, sci-kit-learn, TensorFlow, or PyTorch.
• Familiarity with libraries like Matplotlib, ggplot, or Tableau.
• Experience using cloud-based solutions like Azure ML, AWS, H2O.
• Strong knowledge of statistics, probability theory, and mathematical concepts is crucial.
• Skills in hypothesis testing, regression analysis, experimental design, and statistical modeling.
• Proficiency in programming languages such as Python or R, as well as tools like Jupyter Notebook, Pandas, NumPy, and sci-kit-learn.
• Expertise in Machine Learning and AI.
• Data Wrangling and Visualization.
• Domain Knowledge.
• Problem-solving and Critical Thinking.
• Communication and Storytelling.
• Big Data and Distributed Computing.
• Experimental Design and A/B Testing.

Additional Information

CRDB Bank is committed to upholding sustainability and ESG practices and encourages applicants who share this commitment. The Bank promotes an inclusive workplace and welcomes applications from women and individuals with disabilities.

Note: CRDB Bank does not charge any fees for the application or recruitment process. Any requests for payment should be disregarded as they do not represent the bank’s practices.

Only shortlisted candidates will be contacted.

Deadline: July 5, 2024
Employment Terms: Permanent