Senior Machine Learning Scientist Cover Letter

I would like to submit my application for the senior machine learning scientist opening. Please accept this letter and the attached resume.

Previously, I was responsible for high-level architectural expertise to sales, project and other analytics teams and serve as an evangelist of Zebra’s machine learning and advanced analytics offerings.

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

• Excellent professional communication skills (English, written and oral)
• Experience with high performance and big data computing tools and technologies (e.g., Hadoop, Spark, cloud infrastructure, AWS, deep learning)
• Physiological signal processing and knowledge of human physiology
• Knowledge of healthcare industry and trends in patient care at hospital and home
• Extensive experience working with machine learning and engine development
• Excellent communications skills in English (Speaking, Listening, Reading, and Writing)
• Proven track record in solving data-related challenges
• Experience in domains such as Natural Language Processing, Computer Vision, Machine Learning, and Optimization

Please consider me for the senior machine learning scientist opportunity. I am including my resume that lists my qualifications and experience.

In my previous role, I was responsible for mentoring and leadership to more junior team members, and be an evangelist for machine learning across the company.

Please consider my experience and qualifications for this position:

• Experience in building complex models for machine learning
• Educational background and degrees in computer science related fields, statistics, and data analytics
• Demonstrated history of driving and delivering analytics models and solutions
• Deep knowledge of fundamentals of machine learning, data mining and statistical predictive modeling, and extensive experience applying these methods to real world problems
• Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, C/C++) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work
• Breadth of skills and experience in machine learning – diverse types of data, diverse data sources, different types of learning models, diverse learning settings
• Familiar with high performance and big data computing tools and technologies (e.g., Hadoop, Spark, cloud infrastructure, AWS, deep learning)
• Familiar with Relational and NoSQL database technologies

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

In my previous role, I was responsible for technical leadership for program teams and support business development efforts related to RF machine learning development programs.

Please consider my experience and qualifications for this position:

• Solid foundation in statistics, modeling and machine learning (unsupervised and supervised methods
• PhD or equivalent combination of experience and education
• Highly comfortable in traditional machine learning algorithms (e.g., SVM, boosting, bagging)
• Highly comfortable in SQL
• Comfortable working independently and defining measurable, achievable goals
• Experience shipping ML solutions in product
• Excellent understanding/experience with machine learning methods such as neural networks, deep learning, KNN, Naive Bayes, SVM, Lasso Regression, Elastic Net Regression, Boosting and Bagging Random Forest, Association Rules, Cross Validation Method, and Variable Clustering
• Experience with Python’s data science toolkits such as Scikit-learn, pandas, Numpy and Seaborn through Jupyter or iPython notebooks

I submit this application to express my sincere interest in the senior machine learning scientist position.

In my previous role, I was responsible for machine learning expertise to support LogMeIn products, including new or existing product features or business flows.

Please consider my experience and qualifications for this position:

• Experience with top Machine Learning libraries – in particular Tensorflow and Scikit-learn, for example
• BS or MS Computer Science or higher (or equivalent experience)
• Experience developing & deploying advanced supervised and unsupervised learning techniques, natural language processing, robotics, computer vision, Markov decision process, deterministic and non-deterministic mathematical programming, constraint satisfaction, and control theory
• Experience productionizing machine learning methodologies such as regression, classification, clustering, matrix factorization, decision trees, support vector machines, deep learning using predictive analytics frameworks such as Python/scikit-learn, Tensorflow, H20, and R
• Experience working in a Platform organization designing and implementing distributed applications with a micro-services architecture using development toolchains such as Java, C++, Python on Linux systems
• Experience working with agile Software practices on commercial Cloud platforms such as Azure/AWS/Google Cloud using container-based virtualization technologies like Docker, Kubernetes, Mesos
• Participation in competitions/hackathons, and open source contributions
• Experience in building machine learning applications

I would like to submit my application for the senior machine learning scientist opening. Please accept this letter and the attached resume.

In the previous role, I was responsible for technical leadership, identify and understand key business challenges and opportunities, and develop end-to-end software solutions using machine learning and optimization methods.

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:

• Publications in peer-reviewed statistics or ML journals
• Strong record of scholarship or entrepreneurship
• Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Matlab, Python, R, C/C++) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work
• Partner with engineering, design and product teams to deliver solutions to orchestrating, understanding and improving customer experiences in real time
• Highly proficient with general purpose programming languages, Java, C/C++ or Python, and detailed working knowledge of the packages and frameworks associated with data wrangling, analysis, and machine learning
• Strong communication skills, especially in describing technical methods to both technical and non-technical audiences
• Knowledge and experience working on microservices based SaaS applications
• Extensive Experience with agile software development process