Job Description
- We are looking for a Data Scientist to analyse large amount of raw information to find patterns that will help improve our business.
- Developing data driven decision making systems and automating the existing system for improving operational excellence.
- To measure effectiveness of current data sources and improving data collection methods.
- In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
- Your goal will be to help our business analyse trends to make better decisions.
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Combine models through ensemble modelling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
- Work closely with your business to identify issues and use data to propose solutions for effective decision making
- Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization
- Use machine learning tools and statistical techniques to produce solutions to problems
- Test data mining models to select the most appropriate ones for use on a project
- Maintain clear and coherent communication, both verbal and written to understand data needs and report results
- Create clear reports that tell compelling stories about how customers or clients work with the business
- Assess the effectiveness of data sources and data-gathering techniques and improve data collection method
- Horizon can to stay up to date with the latest technology, techniques and methods
- Conduct research from which you’ll develop prototype and proof of concepts
- Look for opportunities to use insights/data-sets/code/models across other functions in the organisation (for example in the HR and Finance departments)
- Stay curious and enthusiastic about using algorithms to solve problems and ensues others to see the benefit of your work.
Required Candidate profile
- Proven experience as a Data Scientist or Data Analyst
- Experience in data mining
- Understanding of machine-learning and operations research
- Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra) & Problem solving aptitude
- Excellent communication and presentation skills
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science, or other quantitative field is preferred
- Postgraduate qualification, such as, Masters or PhD is preferred. Subjects include: big data, business analytics, data analytics, data science
Salary: Not Disclosed by Recruiter
Industry: / / /
Functional Area:
Role Category: System Design/Implementation/ERP/CRM
Role: Business Analyst
Employment Type: Full Time, Permanent
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