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We are looking to hire a staff machine learning engineer to join our RVO Health data science team. 6+ yrs of professional experience in a data science role with a preference for holding an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization.
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Education: B.S. degree in Data Science, Business Analytics, Electrical Engineering, Material Science, Device Physics, or other related engineering or technical degree. SkyWater Technology's Defect & Metrology team is seeking an experienced Defect Engineer with a strong background in data science/analytics.
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Ideal candidates will have a robust background in analytics, data science, product development, shopper/omni-commerce marketing, and a deep understanding of the technologies, platforms, and best practices that define the digital, retail/shopper media, and marketing spaces.
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5 years of experience leveraging data science and data visualization tools, such as SQL, Tableau/Power BI, SAS, R or Python. You'll advance marketing analytics to fuel data-driven decisions across media, brand, category marketing and the Best Buy advertising business.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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A deep technical background in applied data science, spanning some or all statistics, experimentation, machine learning, causal methods, optimization techniques, data engineering and architecture (applied to large data), and behavioral analytics.
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5 years of experience with data science and analytics technologies such as Python, SQL, Tableau, Alteryx, AWS Redshift and Lambda, and/or Google Cloud Platform. Define and evangelize the strategy, roadmap, and execution plan to deliver new data science and analytics capabilities to enable Thermo King’s customers and achieve our company purpose while enabling rapid growth.
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Join Thermo King as an Analytics and Data Science Leader to shape a sustainable future! 10 years of experience building and managing AI, data science, and analytics solutions, preferably SaaS-based customer offerings.
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The VP, Analytics and Product Development will lead in delivering data-driven, actionable insights and spearheading innovative product development initiatives on behalf of our clients. Knowledge of data science principles, including but not limited to statistical analysis, machine learning models, and data mining techniques.
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And at least one of these areas: Writing complex queries using SQL,R (or equivalent) to extract data from relational databases; utilizing data warehouse environments (or similar); Developing surveys, conducting focus groups, and collecting qualitative data Preferred Qualifications A bachelor's or master's degree in social science, data science, analytics, research, public administration, or related field.
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In Business Insurance Actuarial and Analytics, we deliver tailored analytics and innovative data science solutions that influence decisions and enable superior results. As a Director, Actuarial & Analytics, you will be leading rate adequacy analysis for both our new Travelers Commercial Auto product (TCAP) and for existing products, providing pricing indications to business units and collaborating across functional teams to influence rate level decisions.
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Bachelor's degree (B.A., B.S.) in relevant field (e.g., Data Science, I/O Psychology, Data / Business Analytics, HR / Business Management). This role is an ideal opportunity for a creative and analytical self-starter who has a passion for using HR data to support business outcomes, strong relationship and consulting skills, and an interest in designing and building a new HR analytics capability.
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The specific areas of interest are not restricted and may include expertise in: artificial intelligence (including machine learning and neural networks), computer vision, predictive modeling, electronic health records, big data analytics, digital health and wearable devices, health informatics and clinical research informatics.
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Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence.
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Understand business problems and apply statistics, data science, and predictive modeling to develop advanced solutions like GLMs, Machine Learning, and Clustering across a variety of big data, other database platforms (Teradata, SQL databases), and cloud platforms like AWS.
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data science analytics jobs in Minneapolis, MN
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