Data Scientist Lead Cover Letter

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

In the previous role, I was responsible for quality review on statistical analysis plan to ensure consistency with protocol and adequacy to meet objectives defined in protocol.

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:

• P- Experience with data visualization tools
• Moderate coding skills
• Operating system security model or software security domain experience
• Own data science use cases end-to-end from data discovery to operationalizing
• Help build best-in-class development architecture, standards, best practices for Machine learning
• Understand the business domain, define the scope, prepare and draft success criteria, failure criterion and initial hypothesis for the use case
• Conceptualize and quickly build POC on new product ideas - should perform either as an individual contributor or lead a team of data scientists and data engineers
• Machine and deep learning models

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

In the previous role, I was responsible for data management input to the protocol, and translate the protocol into specifications for all data requirements and data types at a study or project level in line with reporting needs.

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:

• Proficiency with Python, SAS, R or other statistical packages
• A doctorate or equivalent experience in in Machine Learning, Computer Science, Mathematics or quantitative discipline
• Professional experience in a data scientist or a related software engineering role
• Competence to commission, interrogate, deploy, and assure advanced predictive analytics and machine learning models, such as Bayesian models, natural language processing and reinforcement learning
• Comfortable mining unstructured data and ingesting data from various sources such as REST/SOAP frameworks
• Familiarity with computer vision paradigms will be a good to have
• Experience with popular data analytics and modelling packages
• Deep understanding and hands-on experience with optimization, data mining, machine learning, deep learning and natural language processing techniques

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

Previously, I was responsible for backup support for the day to day management of the animal use protocol review process, using web-based protocol tracking system.

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:

• Experience with semantic / cognitive analytics tools and methodologies
• Requires thoroughness and practical application of chemical knowledge
• Experience in tech, communications, internet, ecommerce, or media industry preferred
• Strong experience in machine learning techniques (unsupervised, supervised, reinforcement, demonstration, ) and optimization algorithms that include statistical analysis techniques such as Grouping, Clustering, Linear Regression, Stochastic Gradient Descent, Principal Component Analysis Recurrent and Convolutional Neural Networks
• Familiarity with Basic SQL
• Familiarity with data architecture, specifically data pipelines and data warehouses/lakes
• Familiarity with big data tools like Spark, Hadoop, Kafka, Cassandra or their cloud equivalents
• Keen aptitude in subscription driven business and customer needs

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

In the previous role, I was responsible for protocol training to, and address protocol related questions from, the investigator site staff and site monitor when required.

Please consider my experience and qualifications for this position:

• Extraordinary written and verbal communication to educate and work with multi-functional teams
• Track record in defining strategies in the area of advanced data analysis and fostering knowledge exchange in large organizations
• BS/MS in Computer Science, Statistics, or related technical field ideally with a significant Machine Learning component
• BSc or Higher in quantitative field of study (mathematics, physical sciences, statistics ) from an accredited institution
• Deep experience in application of analytic techniques to developing analytic solutions in a media or entertainment company both within a big-data environment from surveys
• Proven success when partnering with engineering and business teams
• Proficiency in standard data analytics toolkits in Python, Scale, R and SQL
• Hands on experience of Hadoop 2.0 (Spark, MapReduce) and the AWS or Azure ecosystem

I am excited to be applying for the position of data scientist lead. Please accept this letter and the attached resume as my interest in this position.

Previously, I was responsible for regulatory support for Continuing Reviews, protocol submissions, protocol revisions, and other required reports in a timely manner.

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:

• Pioneer efforts to automate data collection and aggregation through the use of third-party data sources interrogated via RESTful APIs
• Develop innovative ways to gain additional insight from existing data such through as the use of graph databases
• Support the growth and scope of the Financial Crime Analytics team through the generation of ideas
• Engaged with senior management to drive Financial Crime in an innovative direction making use of leading data visualization and BI tools to support this narrative
• Provide analytics support to adjacent teams such as the AML Transaction Monitoring team in areas such as threshold tuning/optimization, customer/account segmentation and data-driven decision making and insights
• Exposure to common Python libraries for data manipulation, machine learning, natural language processing, statistical analysis and visualization (Pandas, Scikit, NLTK, Matplotlib, etc) desirable
• Experience with BI tools (e.g., Spotfire, Tableau) beneficial
• Knowledge and exposure to common Model Risk Management