Tezza”(te-zza) from the Italian word "Completezza” embodies our commitment to providing IT and Business Solutions that are comprehensive, through and complete. We specialize in providing personalized Software Quality Assurance and Testing Services within a streamlined, phased delivery channel. With a primary goal of putting technological solutions to work in practical ways that ensures a healthy bottom-line our solutions reflect a deep understanding of real-world business challenges. Working in conjunction with our clients we are able to create and implement result-oriented personalized solutions.
About the job
- We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.
- 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 company analyze trends to make better decisions.
Responsibilities
- 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
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Requirements
- 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
Method of Application
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