Analytics Data Scientist Cover Letter

I submit this application to express my sincere interest in the analytics data scientist position.

Previously, I was responsible for expertise and leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and initiatives.

My experience is an excellent fit for the list of requirements in this job:

• Knowledge of machine learning or statistical modeling tools such as R, SAS, MATLAB, or Python (scikit-learn, Theano)
• Familiarity with script-based data visualization tools, such as ggplot, matplotlib, Shiny, or D3
• Proficiency in computer processes and methods, and familiarity with languages such as C/C++, Java, C#, SQL, Perl, Python
• Experience working with large volumes of financial data composed of different instruments, coming from different sources, for back-testing models, algorithms, and strategies preferred
• Experience in natural language processing, especially in text analytics and news aggregation methodologies preferred
• Hands-on technical experience with conceptualizing large scale data solutions, such as --- Hadoop, Teradata, Sybase IQ, Microsoft Analytics Platform System (Client), IBM Netezza, preferred
• Report authoring/development experience using various tools like Tableau, Qlik, or Lumira preferred
• Development experience in any scripting language (PHP, Python, Perl)

In response to your job posting for analytics data scientist, I am including this letter and my resume for your review.

In the previous role, I was responsible for technical leadership in research, design, develop and evaluate first-of-kind data analytics solutions to provide real time diagnostics and therapeutic decision support applications.

Please consider my qualifications and experience:

• Should have proven experience in data analytics and data handling and experienced in statistical programming on latest IT tools of data analysis
• Should have expertise in advanced analytics and in developing models using advanced analytical tools such as R, Python, SPSS, SAS
• Experience of working in Fraud Analytics, Direct & Indirect Taxation Domain
• Propensity (Churn / Acquisition / Cross-sell/Up sell)
• Predictive modelling / Recommendation
• Campaign analysis / Attribution modelling
• Segmentation (clustering) / Classification
• Customer Lifetime Value analysis

I would like to submit my application for the analytics data scientist opening. Please accept this letter and the attached resume.

Previously, I was responsible for leadership and guidance on the application of established, new and emerging machine learning, AI and data visualization methods and tools to the BMS analytics community.

My experience is an excellent fit for the list of requirements in this job:

• Extensive experience with data analysis and manipulation, including the use of R or Python
• Apply statistical and predictive modeling techniques to provide targeted and actionable insights into the business
• Research and benchmarking skills
• Innovative data-visualization and storytelling skills
• Good communication, interpersonal and collaboration skills to work effectively with various and diverse internal personnel and external contacts
• Microsoft Excel, and Access knowledge
• Facility in working with large data sets using multiple tools and techniques to combine and analyze
• Knowledge of SAS, R, or SQL

In response to your job posting for analytics data scientist, I am including this letter and my resume for your review.

Previously, I was responsible for pre-sales technical support and guidance to the China sales organization, prospects, and customers in the domains of statistics, data analytics, machine learning, distributed computing, handling Big Data, and application deployment by:.

I reviewed the requirements of the job opening and I believe my candidacy is an excellent fit for this position. Some of the key requirements that I have extensive experience with include:

• Strong knowledge of Excel and Visual Basic
• Experience working in multinational corporations
• Ideally, some exposure to corporate HR functions
• If no exposure to HR, then some experience in Management Consulting
• Experience building machine learning models in Python
• Experience using Alteryx or other ETL automation software highly desirable
• Experience using SQL, Python or other data or scripting language
• Thorough understanding of data science process and data discovery processes

Please consider me for the analytics data scientist opportunity. I am including my resume that lists my qualifications and experience.

In my previous role, I was responsible for leadership in advanced analytics and complex data modeling in the Analytics department (note: no formal supervisory duties).

Please consider my qualifications and experience:

• Implementing a variety of fundamental statistical techniques new-age algorithmic approaches, including supervised and unsupervised learning methodologies
• Deep knowledge of statistical modeling in the R language (highly preferred) and/or Python/Pandas
• Working proficiency with SQL Excel
• Strong proficiency in Microsoft Suite (Excel, Powerpoint)
• Experience in understanding business and technical context and requirements
• Applied experience in translating data analysis results into actionable business recommendations
• Knowledge and applied experience n Big Data technologies and frameworks (Hadoop, MapReduce, HDFS, Spark, Hive, Impala, Sqoop, Flume, ...)
• Cloudera certifications