Gilder Search Group
Senior Data Scientist - Experimental Design
Gilder Search Group, West New York, New Jersey, us, 07093
Senior Data Scientist - Experimental DesignWe seek a Senior Data Scientist (Experimental Design) to join our client's Data Science Lab in a Hybrid role (2 days a week in Office). This is a Direct Hire opportunity.Hybrid Office locations:
New York, Holmdel, Stamford, Bethlehem, PittsfieldYour JobAs a Senior Data Scientist, you will be responsible for developing advanced data science solutions leveraging machine learning and artificial intelligence to drive enterprise-wide innovation. You will collaborate with senior executives on high-impact, high-visibility projects to deliver AI/ML solutions and create value from our data and analytic products. Your responsibilities will include developing test and learn capabilities, designing and executing experiments, creating statistical and AI/ML models, and conducting A/B testing.The WorkDevelop Enterprise Test and Learn CapabilitiesInvestigate the current state of the art of experimentation practices and causal inferencing/ML techniques to identify opportunities for upscaling the methodology best practicesDevelop and execute advanced data-driven experiments to optimize various aspects of client’s businessCreate test hypothesis, experiment design including KPI selection, and collect and analyze dataDevelop statistical and AI/ML models to analyze experimental data and derive actionable insightsApply statistical methods to assess the reliability and significance of experimental resultsConduct A/B testing, multivariate tests, and other experimental methodologies to optimize customer experience, product features, marketing campaigns, and other business objectivesOrganize and manage data to extract insights that can be further incorporated into solution/modelSupport use case development that includes initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentationData wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasetsUtilize advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needsIdentify source data and data quality checks both in model/solution development and in productionPackage model/solution and deployment in cooperation with Data Engineers and MLOpsDevelop Deep Learning/Large Language Model/Generative AI capabilitiesMap and mine unstructured data such as insurance contracts, medical records, sale notes, and customer servicing logsAI/ML solutions include but are not limited to enhancing underwriting risk assessment, claims auto adjudication, and customer servicingContribute to the overall Data Science organizationCollaborate with cross-functional teams of other Data Science, Data Engineering, and Business groupsContribute to standardization of Data Science tools, processes, and best practicesQualificationsCombination of education in Statistics, Computer Science, Engineering, Applied Mathematics or related field AND professional experience in Data Science or Data Analysis equaling either:PhD with 2+ years professional experienceMaster's degree with 4+ years professional experience3+ years of hands-on ML modeling/development experienceStrong theoretical foundations in probability & statistics, and causal inferencing techniquesProven expertise in setting up hypotheses to assess consumer behavior, in designing, implementing and deploying testsStrong programming skills in Python including PyTorch and/or TensorFlowSolid background in algorithms and a range of ML modelsExcellent communication skills and ability to work and collaborate cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on levelExcellent analytical and problem-solving abilities with superb attention to detailProven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise successNice to HaveExperience in the insurance industryExperience with big data technologies such as Hadoop, Spark, and/or cloud computingKnowledge of Agile development methodologyExperience with data visualization tools such as Tableau, QlikView, and/or D3.js
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New York, Holmdel, Stamford, Bethlehem, PittsfieldYour JobAs a Senior Data Scientist, you will be responsible for developing advanced data science solutions leveraging machine learning and artificial intelligence to drive enterprise-wide innovation. You will collaborate with senior executives on high-impact, high-visibility projects to deliver AI/ML solutions and create value from our data and analytic products. Your responsibilities will include developing test and learn capabilities, designing and executing experiments, creating statistical and AI/ML models, and conducting A/B testing.The WorkDevelop Enterprise Test and Learn CapabilitiesInvestigate the current state of the art of experimentation practices and causal inferencing/ML techniques to identify opportunities for upscaling the methodology best practicesDevelop and execute advanced data-driven experiments to optimize various aspects of client’s businessCreate test hypothesis, experiment design including KPI selection, and collect and analyze dataDevelop statistical and AI/ML models to analyze experimental data and derive actionable insightsApply statistical methods to assess the reliability and significance of experimental resultsConduct A/B testing, multivariate tests, and other experimental methodologies to optimize customer experience, product features, marketing campaigns, and other business objectivesOrganize and manage data to extract insights that can be further incorporated into solution/modelSupport use case development that includes initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentationData wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasetsUtilize advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needsIdentify source data and data quality checks both in model/solution development and in productionPackage model/solution and deployment in cooperation with Data Engineers and MLOpsDevelop Deep Learning/Large Language Model/Generative AI capabilitiesMap and mine unstructured data such as insurance contracts, medical records, sale notes, and customer servicing logsAI/ML solutions include but are not limited to enhancing underwriting risk assessment, claims auto adjudication, and customer servicingContribute to the overall Data Science organizationCollaborate with cross-functional teams of other Data Science, Data Engineering, and Business groupsContribute to standardization of Data Science tools, processes, and best practicesQualificationsCombination of education in Statistics, Computer Science, Engineering, Applied Mathematics or related field AND professional experience in Data Science or Data Analysis equaling either:PhD with 2+ years professional experienceMaster's degree with 4+ years professional experience3+ years of hands-on ML modeling/development experienceStrong theoretical foundations in probability & statistics, and causal inferencing techniquesProven expertise in setting up hypotheses to assess consumer behavior, in designing, implementing and deploying testsStrong programming skills in Python including PyTorch and/or TensorFlowSolid background in algorithms and a range of ML modelsExcellent communication skills and ability to work and collaborate cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on levelExcellent analytical and problem-solving abilities with superb attention to detailProven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise successNice to HaveExperience in the insurance industryExperience with big data technologies such as Hadoop, Spark, and/or cloud computingKnowledge of Agile development methodologyExperience with data visualization tools such as Tableau, QlikView, and/or D3.js
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