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Inspire and collaborate closely with cross-functional teams, including Engineering, Data Science, Design, and Research to drive product development and achieve growth objectives. Strong analytical and quantitative skills, with experience using metrics and data analytics to drive decision-making.
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Major League Soccer’s Strategy and Business Intelligence group is tasked with supporting strategic decision making and resource allocation across the League – with a focus on driving fan growth, revenue capture, and operating efficiencies – by providing impactful data driven insights, analysis, and recommendations.
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CORE leadership team including CEO, COO, VP of programming, Director of Humanitarian Response, Data, Partnership Development & Fundraising. Relevant professional qualification or post-graduate in structural engineering, civil engineering, housing, land and property rights, materials science, construction management and logistics or.
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We're seeking an established and dynamic Experience Design leader focused on strategic product vision, design talent growth, and coordinating teams to execute for impact at scale across the Enterprise Data team.
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Design and Architect applications across multiple domains including Data Engineering, Data Science, Data Viz and App development. This role will have expertise in data movement and database technologies support data analytics and Machine Learning (ML) / Artificial Intelligence (AI) capabilities in the cloud.
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Past experience in any of the following capacities: financial operations, financial planning and analysis, accounting, system administration, customer experience, data science, technology consulting.
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The Senior Medical Science Liaison is a remote, field-based, external customer-facing member of the US therapeutic area medical unit team, responsible for analyzing, interpreting and disseminating scientific data, acquiring and translating customer insights, fostering external expert networks, and compliantly connecting customers to Takeda in order to advance medical strategy and improve patient outcomes.
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Scale community knowledge around research methods for today (e.g. behavioral science/psychology) and the future. The ideal candidate will exhibit deep understanding of experimental design and data analysis, be well-versed in a number of research methodologies (preferably quantitative research), be capable of creating long term research plans and protocols, involve cross-functional teams in the gathering of customer feedback, and make product and experience recommendations that meet the future needs of Intuit’s customers.
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The successful candidate will manage the cross functional curation, scientific, and bioinformatics teams responsible for the scientific content and data that empowers Ingenuity Pathway Analysis (IPA), QIAGEN Clinical Insights (QCI), and OmicSoft platforms.
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Experience recruiting for technical talent for roles in IT Security, Data Science, and Leadership roles in Back End engineering and Data Engineering. Use data in all you do – an excellent storyteller who can inform on market insights to help shape and drive recruitment strategy.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. New York City (Hybrid On-Site): $165,100 - $188,500 for Data Science PhD Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. As a Data Scientist on the Growth team, you will be working to grow Lyft's user base (drivers and riders) in dynamic marketplace conditions through experimentation, modeling, causal inference, and optimization.
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Product management at Lyft leads the integration of engineering, data science, and design to achieve the company’s vision for reinventing transportation. Lead and align cross-functional partners and teams: engineers, designers, data scientists, marketers, and operations.
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Senior Manager, Data Scientist - Business Card & Payments page is loaded Senior Manager, Data Scientist - Business Card & Payments Apply locations McLean, VA Richmond, VA Chicago, IL New York, NY time type Full time posted on Posted 2 Days Ago job requisition id R182822 Center 1 (19052), United States of America, McLean, VirginiaSenior Manager, Data Scientist - Business Card & Payments Senior Manager, Data Science - Business Card & Payments.
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Master's degree in Mathematics, Statistics, Data Science, Computer Science, Economics, Operations Research or related quantitative field (willing to accept foreign education equivalent) plus three (3) years of experience as a Data Scientist or performing predictive analytics within the financial services or insurance industry.
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