What are the responsibilities and job description for the Senior Data Scientist - Experimental Design position at Spartan Technologies?
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
3 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 success
Nice to Have
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
In order to make an application, simply read through the following job description and make sure to attach relevant documents.
Job # 1018
J-18808-Ljbffr
