Data Scientist
1 dia atrás
Data Scientist - Qualified PipelineLocation: Latam/USPosition Pay: Salary depends on experiencePosition SummaryData Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and LATAM.Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management.As a Tableau Preferred Partner and the distinguished Alteryx **** Global Partner of the Year, we are dedicated to bringing premier services to our diverse clientele.Our strength lies in our global team of 95+ consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture.We are proactively building a pipeline for qualified Data Scientists to joinour team in the near future.The IDEAL candidate will have experience with either Python or R, Power BI or Tableau, and excellent understanding of Data Analysis, Data Mining, Statistic Modeling and Big Data Infrastructure.ResponsibilitiesFollow consistent practices to ensure data integrity and deal with imperfections in data.Effectively process structured and semi-structured/unstructured data; proficiently integrate varied datasetsWork cross-functionally with development and engineering teamsAnalyze large amounts of information to discover trends and patterns, draw conclusions and gain actionable insights.Build predictive models; propose solutions and strategies for business problemsApply the appropriate machine learning algorithm to data problems (e.g. supervised vs. unsupervised machine learning, clustering, ensemble methods, etc.), validate model results.Work closely with architecture and engineering team to deploy models; communicate results in a clear and non-technical manner.Interact with senior management and effectively communicate technical information to numerous audiences (e.g. senior management, client community, peers and junior associates)Address challenges to analytic processes and influence others to change their approach and work collectively to implement new tools/techniquesGain support from related stakeholders for analytic solutions and champion data driven business decisions.Apply appropriate statistical techniques to data exploration and model development/assessmentCommunicate complex statistical concepts to non-technical audiences; maintain skills through continuing education.Create meaningful data visualizations to communicate results and highlight business impactEffectively collaborate with others to deliver efficient and high-quality code (Python or R)Implement solid validation process to ensure consistency and minimize errors in codeChampion more efficient ways to produce code, maintain skills through continuing education; stay up to date on new technologies/ toolsSeamlessly transition between languages to apply the right approach to the problem.Understanding of Big Data infrastructure – Hadoop, MapReduce and SparkRequirementsBachelor's degree in Computer Science, Math or Statistics is preferredAt least 4 years of professional experience in a data-related roleGood communication skills (English proficiency)Knowledge of Statistics and Statistical ModelingUnderstanding of Machine Learning and Predictive AnalyticsData analysis programming languages – Python and R (at least one)Database languages – SQL and NoSQL (desirable)Data Visualization – Power BI or Tableau#J-*****-Ljbffr
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