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Master's degree from an accredited college/university in Computer Science, Statistics, Data Science, Engineering, or related fields; PhD from an accredited college/university is preferred.
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Work internally within KPMG's other areas within Tax, Audit and Advisory to advance the client understanding of Data Science, Artificial Intelligence, and Advanced Analytics; Work very closely with emerging technologies group within AI service providers (e.g., AWS, GCP, Azure) to provide a first-in-market solution approaches to complex business problems.
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Minimum of five years of experience leading teams of at least five data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds.
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Provide expert oversight for teams building machine learning algorithms and data science solutions. Ability to apply artificial intelligence techniques to achieve concrete business goals; ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Provide assistance, and resolve problems, using solid problem-solving skills and strong verbal/written communication.
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KPMG is currently seeking a Manager to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics. Follow this link to obtain salary ranges by city outside of CA: LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package.
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Proficiency in delivering analytics projects using leading processes including expert knowledge of data discovery, cleaning, model selection, validation, and deployment; Ability to work with team members and clients to assess needs, provide assistance, and resolve problems.
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Ability to utilize a diverse array of technologies and tools as needed, to deliver insights, such as fluency in Python or R; Experience with SQL and cloud technology preferred; Experience with command-line scripting, data structures, and algorithms; Ability to work in Linux and/or cloud environments; Ability to write production level code.
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Lead team in exploratory data analysis, generating and testing working hypotheses, and uncovering interesting trends and relationships. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year.
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Plan engagement objectives, key deliverables, and deliver on engagement milestones by following analytics processes; Work with clients to discover, retrieve, prepare, and process a variety of data sources (social media, news, internal/external documents, emails, financial, and operational.
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KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law.
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KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. Leverage deep technical knowledge to build, review, and quality control code to prepare, extract, and enrich data sources, working with the business to understand available resources and constraints around data.
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KPMG complies with all local/state regulations regarding displaying salary ranges. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at ' Benefits & How We Work.
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KPMG is an affirmative action-equal opportunity employer. KPMG recruits on a rolling basis. By blending technology with our industry expertise, we're able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems.
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Spark your curiosity and ignite your career at The Lighthouse. We are The Lighthouse within KPMG's Consulting practice. Lead multi-disciplinary and cross-functional teams to rapidly iterate models and results to refine and validate approach; Lead team in a fast-paced and dynamic environment with both virtual and face-to-face interactions; Utilize structured approaches to solving problems, managing risks, and multiple responsibilities using structured approaches for operational excellence; Communicate results to executive level audiences.
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We tap into the power of emerging technologies and scientific breakthroughs to create solutions and products that address the largest and most complex issues faced by global companies. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health.
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engineering job Title: data scientist Company: Kpmg in GA, France
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