Software Engineering Specialist Data Science

Job Description

*Our mission is to break down the barriers of today to release the potential of tomorrow. Join us today and release yours.Why this role mattersThe purpose of the Software Engineering Specialist Data Science role is to support our automation strategy using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. Must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.What youll be doingWork as the lead data strategist, identifying and integrating new datasets that can be leveraged through our Services capabilities and work closely with the engineering team to strategize and execute the development of data productsExecute analytical experiments methodically to help solve various problems and make a true impact across various domains and industriesIdentify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variablesDevise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracyAnalyse data for trends and patterns, and Interpret data with a clear objective in mindImplement analytical models into production by collaborating with software developers and machine learning engineers.Communicate analytic solutions to stakeholders and implement improvements as needed to operational systemsWell also need to see these on your CVWo rk as the lead data strategist, identifying and integrating new datasets that can be leveraged through our Services capabilities and work closely with the engineering team to strategize and execute the development of data productsE xecute analytical experiments methodically to help solve various problems and make a true impact across various domains and industriesIdentify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variablesDevise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracyAnalyze data for trends and patterns, and Interpret data with a clear objective in mindI mplement analytical models into production by collaborating with software developers and machine learning engineers.C ommunicate analytic solutions to stakeholders and implement improvements as needed to operational systemsProficiency with data mining, mathematics, and statistical analysisAdvanced pattern recognition and predictive modelling experienceExperience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.Experience with Excel, PowerPoint, SAS, Tableau/Power BI, SQL/Oracle/TeradataComfort working in a dynamic, research-oriented group with several ongoing concurrent projectsHands on experience with GITExperience in a Unix/Linux environment for automating processes with shell scriptingExperience using web services: Redshift, S3, Spark, DigitalOcean, etc.Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Work with stakeholders to determine how to use business data for valuable business solutionsSearch for ways to get new data sources and assess their accuracyBrowse and analyse enterprise databases to simplify and improve product development, marketing techniques, and business processesCreate custom data models and algorithmsUse predictive models to improve customer experience, ad targeting, revenue generation, and moreDevelop the organization s test model quality and A/B testing frameworkCoordinate with various technical/functional teams to implement models and monitor resultsAlign to Agile methodologies

Keyskills :
agileData Science CSSAzure Power BiAnalysis Services Software Engineeringdata models