Director, Data Science Cover Letter

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

In the previous role, I was responsible for thought leadership on adoption of cutting-edge technologies like artificial intelligence (AI) and machine learning for developing new digital biomarkers.

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:

• Defines, develops and implements data standards and policies, data modeling, systems architecture design, and migration system architectures to ensure access to and integrity of data assets
• Comfortable leading initiatives and presenting to large groups
• Experience with Real time analytics using stream processing frameworks
• Proficient background in R or Python, Java, Scala and other JVM-based languages, or equivalent
• Expertise in Spark, Hive, HDFS/Hadoop and NoSQL systems (HBase, Cassandra, MongoDB)
• Experience working with statistics libraries like Scipy Stats, SAS
• Experience working with machine learning tools like Scikit-Learn, Weka
• Extensive analytical toolset including advanced statistics understanding (time series analysis, cluster analysis, multivariate analysis), discrete simulation, linear and nonlinear optimization

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

In the previous role, I was responsible for insight on data trends and anomalies, making recommendations where appropriate to improve business performance, identify unmet needs, and digital tools.

Please consider my experience and qualifications for this position:

• Proficient in application/software architecture (Definition, Business Process Modeling, ) and CICD with testing
• Familiarity with Hive, Pig, SQL, and MapReduce programming
• Highly experienced working with other data scientists from across multiple disciplines (Machine Learning, Applied Math, Statistics, Optimization, Economics/Econometrics)
• Experience with supporting platforms development
• Experience working in a dynamic, fast paced, cross-functional environment
• Hands on, results-driven who can work with extreme efficiency, excited to learn new things, forge new areas of understanding, and enable other teams to manifest them
• Experience incorporating advanced analytic concepts into solution development
• Strong analytical/logical thinking skills and clarity of thought to identify and solve business problems

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

In the previous role, I was responsible for subject matter expertise in several of following analytic areas: machine learning, deep learning, recommendation engines, predictive modeling, web/app analytics, A/B testing, customer lifetime value, customer profiling and segmentation, search algorithms, data visualization, ad tech, proximity marketing, and marketing analytics.

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

• Experience building logistic and linear regression solutions
• Experience with Bayesian Networks and probabilistic graphical models
• Dealing with the issues faced by our Business internal clients, and working/communicating effectively with/to them at different levels
• Team leadership skills with focus on sales results
• Demonstrates a strong commitment to organizational success
• Problem Analysis- able to use information to identify cause and affect relationships, patterns
• BS, MBA or MS in quantitative studies or equivalent
• Fluency in SQL and prior programming experience (preferably Python and/or C++)

Please consider me for the director, data science opportunity. I am including my resume that lists my qualifications and experience.

In the previous role, I was responsible for leadership to ensure a high performing health domain specialized data and analytics R&D team with appropriate skills and capacity required to enable the organization’s future analytics and data products objectives.

Please consider my qualifications and experience:

• Strong understanding of statistics and experience using statistical software (R, SPSS, SAS )
• Deep understanding of modern machine learning and statistical modeling techniques, GLM, GAM, decision trees, random forest, SVM, deep learning, GBM, clustering, Bayesian averaging
• Expert level skills in modeling/machine learning languages such as Python, R
• Hands on experience manipulating large volume data in modern big data environment, Hadoop, Spark, Hive
• Strong expertise in modeling/machine learning languages such as Python, R
• Master of modern machine learning and statistical modeling techniques, GLM, GAM, decision trees, random forest, SVM, deep learning, GBM, clustering, Bayesian averaging
• Effective in process engineering and change management
• Creative problem solving and good understanding of technology management

I would like to submit my application for the director, data science opening. Please accept this letter and the attached resume.

In my previous role, I was responsible for leadership and direction to drive the continued growth of data science competency and contributions in close partnership with IT, Digital Health Initiatives and R&D.

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:

• Knowledge of retail and e-commerce customer domains highly desirable
• Research experience and coursework in Machine Learning, Recommender Systems, and Natural Language Processing
• Strong understanding of machine learning, recommender systems, natural language processing, statistics, and modeling techniques
• Experience in working with Hadoop, MapReduce, Hive, Hbase and related big data technologies
• Experience working with large structured and unstructured data sets from multiple sources
• Experience with recommendation systems & personalization
• Strong passion for empirical research and data driven decisions
• Data visualization experience to present findings at the appropriate level of detail for both business and technology teams