Senior Data Scientist Cover Letter

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

In the previous role, I was responsible for customer insights and corresponding marketing actions through statistics models, machine learning algorithm and/or optimization models.

Please consider my qualifications and experience:

• Master or PHD preferred in Applied Statistics, Engineering, Computer Science, Operations Research or related quantitative discipline
• Deep understanding of statistical and predictive modeling concepts, machine learning algorithm
• Working knowledge of R, Python, Tableau, SAS, SQL, Hadoop or similar tools
• Demonstrated experience incubating and commercializing new ideas, translating business problems into quantitative models, and working closely with business teams from concept generation through implementation
• Will have prior experience of working in a multi-country organization
• Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems
• PhD in Econometrics, Statistics, Operations Research, Optimization, Data Mining, Machine Learning, or other quantitative disciplines
• Hands-on experience with process data analytics

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

In my previous role, I was responsible for engineering and design support for Hadoop/Spark/Ingestion Tool based build, configuration, monitoring and supportability;.

Please consider my qualifications and experience:

• Excellent communication skills in English & French
• Possess a working knowledge of descriptive and inferential statistics, causal process assessment, data mining, and predictive modeling
• Display understanding of study design, validation, and scientific standards for communication of health care data in the US
• Experience with Business Intelligence tools, such as SAP Business Objects, Qlikview, or SAS Visual Analytics
• Demonstrate capacity to build large, complex datasets
• Have proven, practical problem-solving skills and demonstrated experience presenting information and data visualization to technical and non-technical audiences in a clear and compelling manner that inspires action
• Possess strong organizational skills, an orientation toward detail, and be a team player
• Understanding of and experience with Big Data tools (e.g., Hadoop, SAP Hana, NoSQL)

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

In the previous role, I was responsible for training courses / workshops on modeling skills, such as machine learning, optimization, statistics, simulation, etc.

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:

• Where applicable, use data visualizations to help demo and explain insights to key stakeholders and management
• Develop predictive models and new algorithms that can be used in next-generation vehicle features and services
• Experience cleansing and preparing large, complex datasets for analysis
• Expertise applying statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets
• Experience with hypothesis testing, clustering, regression & classification, time series analysis, social network analysis, optimisation, and recommendation engines
• Expertise in statistical programming languages such as R or the Python scientific stack (NumPy, SciPy, scikit-learn)
• Professional-level expertise in developing, validating, and executing algorithms and models on large scale systems
• Experience with Amazon Web Services (RedShift, S3, EC2, EMR, ) and Apache Spark preferred

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

In the previous role, I was responsible for data analytical support such as regression, ANOVA, BLUEs & BLUPS, GCA/SCA values, clustering or classification algorithms or methodologies such as PCA, outcome prediction model-ing etc.

Please consider my qualifications and experience:

• Experience using Azure environments and tools, such as SQL Azure, Azure Data Factory and Azure Mobile Services, HDinsight, Spark
• Experience with TensorFlow or the Cognitive Toolkit
• Expertise in large scale constrained optimization
• Apply data mining, NLP, and machine learning (both supervised and
• Unsupervised) to improve relevance and personalization algorithms
• Work side-by-side with product managers, software engineers, and designers in
• Designing experiments and minimum viable products
• Discover data sources, get access to them, import them, clean them up, and

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

In my previous role, I was responsible for training courses and workshops on modeling skills, such as machine learning, optimization, statistics, simulation, etc.

Please consider my experience and qualifications for this position:

• Expertise in data source extraction (ETL) is also strongly preferable (HANA, SQL, Oracle, SharePoint, Hadoop, Spark)
• Collaborative and communicative mindset with stakeholders such as clinical, R&D, business and academic professionals
• Select features, building and optimizing classifiers using machine learning techniques
• Create automated predictive analytics and anomaly detection systems and constant tracking of its performance
• Determine the appropriate software packages to run
• Be familiar with both structured and unstructured data
• Expertise in machine learning and predictive modeling approaches such as Random Forest, GBM, xgBoost, neural networks/deep learning
• Skilled researcher, able to distill large bodies of research to key findings and explain them to varied audiences