As an Data Scientist, you will be responsible for analysing large datasets, developing predictive models, and providing data-driven insights to support business decisions. You will apply advanced statistical techniques, machine learning algorithms, and data visualization tools to solve complex problems and optimize business performance.
Key Responsibilities:
Data Analysis Processing
Analyse, manipulate, and process large datasets using statistical software.
Clean and preprocess raw data to ensure accuracy and consistency.
Apply sampling techniques and determine appropriate methodologies for data collection and analysis.
Identify patterns, trends, and relationships within data to support strategic decision-making.
Predictive Modelling Machine Learning
Apply feature selection algorithms to improve model accuracy in predicting key outcomes (e.g., sales, attrition, healthcare usage).
Develop and test mathematical and statistical models for forecasting and optimization.
Compare models using statistical performance metrics such as loss functions and explained variance.
Continuously refine and validate models to ensure high predictive accuracy.
Business Problem-Solving Strategy
Identify business problems or management objectives that can be addressed through data analysis.
Provide data-driven recommendations to optimize budgeting, staffing, and marketing decisions.
Collaborate with business leaders and stakeholders to develop data-driven solutions for operational efficiency.
Develop scientific or mathematical models to support strategic planning.
Data Visualization Reporting
Create graphs, charts, and dashboards to visualize insights and trends effectively.
Prepare analytical reports that summarize findings and provide actionable recommendations.
Deliver oral or written presentations of research results to management and other stakeholders.
Develop interactive visualizations to communicate complex data-driven insights.
Research Continuous Learning
Stay up-to-date with emerging trends in data science, analytics, and AI technologies.
Read scientific articles, conference papers, and industry reports to identify innovative techniques.
Recommend and implement cutting-edge data analysis methodologies to improve efficiency and accuracy.
Programming Algorithm Development
Write and optimize custom scripts and functions in programming languages such as Python, R, SQL, or Java.
Develop automated data processing workflows for large-scale analysis.
Implement and maintain data science models for operational decision-making.
Required Skills Competencies:
Proficiency in data analysis tools (e.g., Python, R, SQL, SAS, MATLAB).
Expertise in machine learning algorithms and statistical modeling techniques.
Strong knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
Experience with big data technologies (e.g., Hadoop, Spark, AWS, Google Cloud).
Ability to analyze business or financial data and derive actionable insights.
Strong problem-solving and critical-thinking abilities.
Excellent communication and presentation skills for translating data insights into business strategies.
Knowledge of survey design, polling methodologies, and data collection techniques.
Experience in writing and optimizing code for data science applications.
Required Qualifications:
Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
1+ year of experience in data science, machine learning, or business analytics.
Strong knowledge of statistical analysis, predictive modelling, and AI technologies.
Hands-on experience with programming languages (Python, R, SQL, Java, etc.).
Industry certifications in Data Science, Machine Learning, or AI (preferred but not mandatory).
Perks Benefits:
You ll get to work in one of the hottest and fastest-growing techs in the world right now
Competitive salary
Encouragement to be innovative and challenge the status too
Exposure to industry-leading training and development