#SWISHANALYTICS MLB HOW TO#
#SWISHANALYTICS MLB SOFTWARE#

Ability to communicate complex analyses to both technical and non-technical stakeholders, including senior leadership synthesize results with clear, data visualizations.Strong analytical and problem-solving skills with a track record of leveraging data to influence business decisions and strategy.3+ years of experience in related field.Advanced analytical skills and techniques, including deep statistical knowledge, big data knowledge, visualization, and data exploration.Strong critical thinking skills with the ability to think outside the box.Strong organizational skills, the ability to multi-task in a dynamic environment, and must keep a high level of composure and professionalism in all situations.Ability to communicate to all audiences including strategy team, form strong partnerships, and powerfully convey their recommendations in order to gain action on their insights.Ability to handle large amounts of data, identify key information, and provide insightful recommendations to all levels within the organization with minimal direction.

#SWISHANALYTICS MLB HOW TO#

Functional knowledge of unstructured data sets, including how to access and consume.

Experience with cloud (GCP, AWS, Azure) is a plus.

#SWISHANALYTICS MLB SOFTWARE#

Statistical software proficiency required R, Python, Matlab, SAS, etc., with demonstrated success.Working knowledge of Web-Focus BI, Nitro (Nielsen), Alteryx, Tableau tools a plus.At least 2-3 years research experience focused on data science modeling.Excellent communication skills to both technical and non-technical audiences.Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions Proven track record of strong leadership skills.Experience working in AWS environments etc.Experience with source control tools such as GitHub and related CI/CD processes.Experience with relational SQL & Python.2+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs.Knowledge in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods.Experience developing models for production scale with a high preference for NBA, NHL, MLB or college basketball.Master degree in Data Analytics, Data Science, Computer Science or related technical subject area.

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