Data Analyst/Scientist (Background Stats/Machine Learning/T-Sql, R, Python, Excel.)

These jobs were popular with other job seekers Recruit Assist Data Analyst/Scientist (Background stats/machine learning/T-SQL, R, Python, Excel.) Durban Permanent Full Time Published: 6 days ago Non EE/AA Easy apply Introduction DATA SCIENTIST/ANALYST to assist in the development of new AI offerings, monitoring of existing products and supporting client queries. This role requires a proactive personality, extremely analytical mind-set, attention to detail, and excellent time management and communication skills. Generate outputs to give analytical and quantitative insights to business to make improved operational, tactical, and strategic decisions. The role will entail, working under pressure to deliver tasks. The candidate will be responsible for managing the entire deliverable: from spec gathering, data collection, data cleaning and manipulation, model creation, analysis, and presentation of clients. Duties & Responsibilities Develop and drive company vision and innovations within the AI/ML space. Boost effectiveness and performance, stay up to date with the newest tools, trends, and technologies. Extraction, cleansing, and validating of data to be used for analysis. Translate Business Strategies into actionable goals and execute relevant BI projects / BI initiatives aligned to strategic objectives with specific performance measures and control systems to track progress. Extract data from various sources and convert it into meaningful information that can enhance the effectiveness of business decisions. Involvement in new projects, design and develop Business Intelligence solutions in line with business requirements and service ad-hoc requests for information from clients within the required timeframe and specification. Ability to confidently present findings to senior business stakeholders. Desired Experience & Qualification Relevant IT Degree / Diploma Strong background in statistics, machine learning and deep learning Ability to handle, interpret and analyze data efficiently. Proficiency in T-SQL, R, Python, Excel. Ability to work in a high-pressure environment with a quick turnaround time to meet client expectations. These jobs were popular with other job seekers
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