These jobs were popular with other job seekersand execute cutting-edge AI and BI solutionsdata science projectsanalytics and machine learning models to address business challenges and generate actionable insightsdata strategies, build models, and embed models into software-driven business processesData Analysis and Modeling: Develop and deploy machine learning, AI, and algorithms to extract insights, predict outcomes, and optimize processes
Data analysis, data exploration, and data preprocessing to extract valuable information from large datasets
Apply statistical techniques and hypothesis testing to validate findings
Data Strategy and Planning: Define data-driven objectives and formulate data strategies aligned with business goals
Identify KPIs and establish data collection and measurement protocols
Engineer features and create data pipelines to prepare and clean data for modeling
Ensure data availability and quality
Model Evaluation and Deployment: Evaluate model performance and fine-tune models for improved accuracy
Deploy models and monitor their ongoing performance
Implement best practices for model version control and management
Integrate proven models into business processes and software products
Remove the requirement for human intervention to implement the model
Cross-Functional Collaboration: Collaborate with Business Analysts, Data Engineers, and Domain Experts to understand and address specific business problems
Communicate findings and insights in a clear and actionable manner
Leadership and Mentorship: Lead and mentor Junior Data Scientists
Participate in knowledge-sharing and training programs that enhance the data science capabilities of the team
Foster a collaborative and innovative work environment
Data Privacy and Compliance: Ensure data privacy and compliance with relevant regulations and best practices
Develop and enforce data security protocols
Desired Experience & QualificationComputer Science / Data Science / related Degree or master's qualification
Certified Data Scientist / other certification (advantageous)
Hands-on machine learning and statistical analysis experience
Proficient in data analysis, modeling tools and libraries e.g., Python, R
Knowledge of data manipulation and visualization
Data preprocessing, feature engineering, and model evaluation expertise
Excellent problem-solving skills
Critical-thinking skills
Strong communication and interpersonal skills
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