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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. 5+ years of experience using AI/ML , data science software (e.g., Python-based tools) The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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Contribute towards advancing the AI Engineering and Data Science discipline in Ford Pro through the Community of Practice, including but not limited to driving data best practices, improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.
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Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment. Knowledge of data preprocessing, feature engineering, and model evaluation techniques in machine learning projects.
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Proficiency in programming languages such as Python for data manipulation, analysis, and model development. You will use your business acumen, knowledge of data and AI to support key products within Pro Tech that focus on improving customer experience, increasing revenue, and improving efficiency across the business.
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Engaging and collaborating with all branches of HQ SACT and identifying, executing and implementing analytic opportunities for data analytics, data science and AI to include business intelligence and robotic process automation (RPA.
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Bachelor's or Master's Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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He/she will play a pivotal role in supporting different functional areas of clinical operation, clinical science, biometrics and external CROs to monitoring the on-going studies and generating new hypotheses and insights from the completed studies using exploratory data analysis techniques and visualizations.
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6+ years of experience in data science, analytics or quantitative intelligence analysis/digital forensics, and demonstrating progressive technical development and outcomes. Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, digital forensic experts, network engineers, senior investigators, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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The department houses a Bachelor’s degree in Geography with an optional GIS emphasis, a minor in GIS, and a certificate in GIS. We prefer candidates with expertise in remote sensing, field data collection, spatial data science, Earth data analytics, and/or machine learning.
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Attends project meetings with collaborators, with a Biostatistics & Data Science faculty member. Prepares written reports, manuscripts, and grant applications for investigators under the supervision of Biostatistics & Data Science faculty.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch) Primary Location.
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The Associate Director of Quantitative Science is a self-sufficient and high-impact position that focuses on supporting the statistical and data science needs in the risk-based monitoring (RBM) of clinical trials, serving in roles such as CSM lead (CSM: Centralized Statistical Monitoring), while also support other activities such as preclinical studies, biomarkers, application of AI/ML and development of analysis applications.
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We cover every aspect of data analytics and data science, from data architecture to data engineering, visualization, predictive analytics, machine learning, and artificial intelligence.
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data science jobs Title: science director Company: Change Healthcare
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