Senior Data Scientist - Experimental Design

Spartan Technologies, Inc. - West New York, NJ Senior Data Scientist - Experimental Design We 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. Your Job As 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 Work Develop Enterprise Test and Learn Capabilities Investigate the current state of the art of experimentation practices and causal inferencing/ML techniques to identify opportunities for upscaling the methodology best practices Develop and execute advanced data-driven experiments to optimize various aspects of client’s business Create test hypothesis, experiment design including KPI selection, and collect and analyze data Develop statistical and AI/ML models to analyze experimental data and derive actionable insights Apply statistical methods to assess the reliability and significance of experimental results Conduct A/B testing, multivariate tests, and other experimental methodologies to optimize customer experience, product features, marketing campaigns, and other business objectives Organize and manage data to extract insights that can be further incorporated into solution/model Support 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/presentation Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets Utilize advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs Identify source data and data quality checks both in model/solution development and in production Package model/solution and deployment in cooperation with Data Engineers and MLOps Develop Deep Learning/Large Language Model/Generative AI capabilities Map and mine unstructured data such as insurance contracts, medical records, sale notes, and customer servicing logs Contribute to the overall Data Science organization Collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups Contribute to standardization of Data Science tools, processes, and best practices Qualifications Combination 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 experience Master's degree with 4+ years professional experience 3+ years of hands-on ML modeling/development experience Strong theoretical foundations in probability & statistics, and causal inferencing techniques Proven expertise in setting up hypotheses to assess consumer behavior, in designing, implementing and deploying tests Strong programming skills in Python including PyTorch and/or Tensorflow Solid background in algorithms and a range of ML models Excellent communication skills and ability to work and collaborate cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Nice to Have Experience in the insurance industry Experience with big data technologies such as Hadoop, Spark, and/or cloud computing Knowledge of Agile development methodology Experience with data visualization tools such as Tableau, QlikView, and/or D3.js #DataScience #MachineLearning #ExperimentalDesign #AI #Python #PyTorch #Tensorflow #Algorithms #MLModeling #DataEngineering #DataWrangling #ETL #DataMatching #DeepLearning #LargeLanguageModel #GenerativeAI #InsuranceIndustry #BigData #Hadoop #Spark #CloudComputing #Agile #DataVisualization #Tableau #QlikView #D3js

Job #

1018 #J-18808-Ljbffr