Data Scientist/ Analyst
Job Description
Title: Data Scientist/ Analyst
Company Name: Meghna Insurance Company Limited
Vacancy: Not specific
Job Location: Anywhere in Bangladesh
Employment Status: Full-time
Educational Requirements:
∎ Bachelor of Computer Application (BCA)
∎ Skills Required: Statistics
Experience Requirements:
∎ 5 to 6 year(s)
∎ The applicants should have experience in the following area(s):
Audit, Data Analysis, Data Science, Information technology, Statistics
∎ The applicants should have experience in the following business area(s):
Insurance
Job Context:
∎ Overview
∎ 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.
∎ The candidate should be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
∎ In this role, the candidate 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.
Job Responsibilities:
∎ Services towards the company concerning analyzing of trends to make better decisions.
∎ Identify valuable data sources and automate collection processes
∎ Undertake processing 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
∎ Undertaking data collection, reprocessing and analysis
∎ Building models to address business problems
∎ Presenting information using data visualization techniques
∎ Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
∎ Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
∎ Assess the effectiveness and accuracy of new data sources and data gathering techniques.
∎ Develop custom data models and algorithms to apply to data sets.
∎ Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
∎ Develop company A/B testing framework and test model quality.
∎ Coordinate with different functional teams to implement models and monitor outcomes.
∎ Develop processes and tools to monitor and analyze model performance and data accuracy.
Additional Requirements:
∎ Age at least 30 years
∎ Both males and females are allowed to apply
∎ We're looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
∎ Coding knowledge and experience with several languages: C, C++, Java,
∎ JavaScript, etc.
∎ Strong problem solving skills with an emphasis on product development.
∎ Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
∎ Experience working with and creating data architectures.
∎ Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
∎ Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
∎ Excellent written and verbal communication skills for coordinating across teams.
∎ A drive to learn and master new technologies and techniques.
∎ Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
∎ Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
∎ Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
∎ Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
∎ Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Insights, etc.
∎ Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
∎ Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Salary: Negotiable
Compensation & Other Benefits:
∎ Mobile bill, Provident fund
∎ Salary Review: Yearly
∎ Festival Bonus: 2
Application Deadline: January 29, 2020
Company Information:
∎ Meghna Insurance Company Limited
Category: Accounting/Finance
Source: bdjobs.com
Deadline Expired on 29th Jan 2020
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