Senior Data Engineer

Experteer Overview Abbott Molecular seeks a Senior Data Scientist to lead analytics initiatives in a new Operations Data Science and Analytics function. You will independently drive data projects, build insights from pipelines and cloud data, and develop models including time series and digital twin simulations. The role offers visibility with senior leadership and the chance to shape data strategy and AI-driven pilots across the business. You’ll transform data into actionable business conclusions that improve operations and decision making. Compensation / Benefits * Analyze data and present clear insights to clients * Collect, clean, analyze, predict, and communicate information using appropriate technologies * Prepare structured and unstructured data for analysis * Define end-to-end analysis plans to address key business questions * Conduct advanced statistical analysis to identify trends * Develop and validate machine learning models for test data decisions * Collaborate with stakeholders to define questions, timelines, and success criteria * Identify opportunities for significant operational or process improvements * Explain model logic and limitations to business partners * Refine analyses with domain understanding and iterative feedback * Translate analytical results into actionable recommendations * Contribute to and guide deployment of applied analytics and AI initiatives Tasks * Bachelor’s degree in a quantitative field or equivalent experience * 4 years of relevant work experience * Experience with SQL, R, Python, Java, Scala, or C++ in Linux/Unix * Familiarity with Databricks and Microsoft Azure is a plus * Business acumen and experience with operational or strategic systems * Advanced analytics knowledge in statistics and mathematical programming * Understanding of data modeling, cloud technologies, unstructured data, and neural networks Key requirements * free medical coverage in HIP PPO * retirement plan with high employer contribution * tuition reimbursement * Freedom 2 Save student debt program * FreeU education benefit * recognized as a great place to work and diverse

leadership to define questions, timelines, and success criteria * Identify opportunities for significant operational or process improvements * Explain model logic and limitations to business partners * Refine analyses with domain understanding and iterative feedback * Translate analytical results into actionable recommendations * Contribute to and guide deployment of applied analytics and AI initiatives Tasks * Bachelor’s degree in a quantitative field or equivalent experience * 4 years of relevant work experience * Experience with SQL, R, Python, Java, Scala, or C++ in Linux/Unix * Familiarity with Databricks and Microsoft Azure is a plus * Business acumen and experience with operational or strategic systems * Advanced analytics knowledge in statistics and mathematical programming * Understanding of data modeling, cloud technologies, unstructured data, and neural networks Key requirements * free medical coverage in HIP PPO * retirement plan with high employer contribution * aaaaav

_ reimbursement * Freedom 2 Save student debt program * FreeU education benefit * recognized as a great place to work and diverse