Marketing Data Scientist Cover Letter

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

In the previous role, I was responsible for business analytics services such as business intelligence consulting, development of enterprise analytics architecture, market research and analysis, dashboards and scorecards creation, provisioning of structured and disparate data, to our client.

Please consider my experience and qualifications for this position:

• A strong background in data analysis, predictive statistical modeling, customer profiling and segmentation, experiment design and A/B and multivariate tests
• Familiarity with big data computing infrastructure such as Hadoop, Spark
• Working knowledge of advance marketing analytic models such as MROI, customer lifetime value, segmentation, campaign measurement and testing, basic web analytics
• Familiarity with customer/marketing analytics techniques such as Customer Segmentation, A/B testing, Market Basket Analysis, Choice Modeling
• Deep expertise with statistical programming languages (e.g., R, python), database querying (SQL), and machine learning
• Expertise with fundamental statistical analysis
• Prior experience with non-theoretical "messy" datasets, , datasets with missing values, inconsistent formatting
• Personal integrity, humility, an appreciation for the power of true teamwork, and a sense of humor

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

Previously, I was responsible for strategic vision to a growing data science team, including developing data structures and analytical frameworks that will sustain our long-term vision.

Please consider my qualifications and experience:

• Experience with Hadoop and proficiency in using Hive, Oozie, Kafka
• Experience with NoSQL databases such as DB or Cassandra
• Proficiency in using analytics workbench like KNIME is preferred
• Experience building marketing mix models and managing enterprise-wide platforms and data integrations
• Contributes positively to teamwork
• Experience in managing a team while leading and delivering complex analytic assignments with tight deadlines
• Strong marketing/ commercial background including performance management and marketing KPIs
• Advanced skills with analytical tools including SQL, SAS, R, and Python combined with a strong and deep understanding of statistical methodologies commonly used in marketing mix modelling

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

In my previous role, I was responsible for data-driven insights to identify business opportunities, to drive changes across product, marketing and various teams and ultimately improve customer experience and business metrics.

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

• Deep knowledge in statistics/machine-learning/data-mining
• Some familiarity with SQL and relational databases
• Strong familiarity with data mining processes
• Experience with Hadoop, HANA, Spark, Hbase, or SAS
• Experience in empirical methods on real world (i.e., noisy) data sets
• Intermediate Python skills and familiarity with associated mathematics libraries
• Proficiency in programming language Python or R
• Define the data capture and visualization framework

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

Previously, I was responsible for thought leadership & increase Marketing adoption of emerging industry advancements in analytics & artificial intelligence.

Please consider my experience and qualifications for this position:

• Create daily/weekly/monthly dashboards to make the data easy to consume
• Those currently enrolled in a PhD program focused on using large data sets to discover marketing insights are strongly preferred
• Show good business acumen and strong passion for & understand the need to deliver right business impact by unearthing deep insights from data
• Question results and find meaningful insights
• Analytic communication (base proficiency in all 3)
• Proven experience in statistical and mathematical analytics
• Understanding of predictive modeling/machine learning/ data mining concepts
• Expertise in Python & Spark is essential

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

In the previous role, I was responsible for data-driven insights to identify business opportunities, to drive changes across marketing, products and various operation teams and ultimately improve customer value and business metrics.

Please consider my qualifications and experience:

• A solid background in Econometrics, Statistics, Mathematics or Computer Science is preferred
• Solid knowledge of analytic software tools
• Designing, developing, implementing, and validating statistical models and segmentation tools
• Perform data extraction, sampling, advance data mining and statistical analysis/modeling using linear regression, logistic regression, time series analysis/forecasting, multivariate analysis (i.e., clustering analysis, principal component analysis, discriminate analysis)
• Demonstrated excellent written and oral communication skills to clearly present analytical findings and make business recommendations
• Experience with A/B testing and applying derived insights to improve and fine tune processes
• Comfortable swimming in the data (both ambiguous and unstructured data sets)
• Basic understanding and experience with Machine Learning techniques such as Clustering, Classification, Regression, Decision Trees, Neural Nets, Support Vector Machines, Anomaly Detection, Recommender Systems, Sequential Pattern Discovery, and Text Mining