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:
Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school
2 to 3 year experince in in data mining, data modeling, and reporting.
Understading of SaaS based products and services.
Understanding of machine-learning and operations research
Experience 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 and problem-solving aptitude
Excellent communication and presentation skills
Proficiency in Excel for data management and manipulation
Experience in statistical modeling techniques and data wrangling
Able to work independently and set goals keeping business objectives in mind
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Business Intelligence & AnalyticsRole: Data AnalystEmployement Type: Full time