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Required Technical Skills/Competencies - Databricks, SQL, Python, Snowflake, Relational Database Structures, Data Analytics/Data Mining Tools. What youll need to be successful: Preferred degree in Business Analytics, Statistics, Mathematics, Computer Science, or related field.
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Candidates must possess a minimum of five years of experience in Human Resources, Industrial Organizational Psychology, Data Science, or Statistics. Performs data quality checks using advanced knowledge of HR data to identify data anomalies proactively prior to delivering data to end users.
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The ideal candidate will be responsible for designing, developing, and enhancing our python data science tools and frameworks. We are seeking a talented and self-motivated Quantitative Researcher to join our growing data science efforts.
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BS degree, preferably in a quantitative subject that includes coursework in statistics, human computer interaction, data visualization, cognitive science, or computer science science/engineering.
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Pursuing a degree (or recently graduated) in Statistics, Mathematics, Data Science, Cognitive Science, or anything AI related. This internship is part-time for 3 months (roughly from April 1st to July 1st)with the possibility to extend which will help you gain skills in AI, data analytics, and exposure to additional software and the software development processes.
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MINIMUM QUALIFICATIONSQualitative or Quantitative UX Research skillsCollege degreeIdeally in Human Factors, Human-Computer Interactions, Cognitive Science, Data Analysis, Statistics, Experimental Psychology, Anthropology, Sociology, Information Science, Market Research or a related field or equivalent practical experience.
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Statistics support : Under the general direction of the Data Science Core Director and the Deputy Director of the Research Computing Center, and under the immediate supervision of the Assistant Core Director, provide guidance to clients on all aspects of the "data life cycle" of research projects, including initial consultations, experimental design, direct analysis of data, and appropriate application of statistical methodology and analyses.
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Backed by $70M in funding from world-class investors including Takeda Digital Ventures, Pivotal Life Sciences, and Vista, the aptihealth team is comprised of healthcare, data science and technology experts passionate about transforming behavioral healthcare.
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Design and implement end to end CPV analysis workflow in TIBCO Statistica (now known as TIBCO Data Science Workbench), to interface with Spotfire(TIBCO Spotfire Platform) for gathering and processing curated inputs for Statistica analysis.
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Deep understanding of Gen AI and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers. Artificial intelligence is no longer science fiction. Background with cloud-based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniques.
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Experience with Azure cognitive services, Databricks, ML & other data science tools including buildind reports for telemetry and quality. Work with engineering data science teams to analyze, design and deliver technology solutions.
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You have a deep understanding of the different parts of the data pipeline, having been exposed todata analysis, data engineering, analytics engineering and data science. A higher education degree in computer science, mathematics, physics or data science is amajor plus.
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Provide dedicated support and guidance to multiple Business HR Partners and Country HRPs including but not limited to: HR requests related to Workday HR actions, employee & People Leader (PL) questions or help required, employee onboarding & exits, employee data maintenance, HR data reporting and troubleshooting as needed in relation to employee pay and benefits.
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Familiarity with core areas of computer science such as Natural Language Processing, Computer Vision, Machine Learning, or Deep Learning. Assist in developing cutting-edge machine learning models, particularly focusing on Large Language Models (LLMs), to streamline clinical operations using diverse data sources like medical images, electronic health records, patient waveforms, and clinical documentation.
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This role will work closely with stakeholders from across the organization to champion consistent and effective data privacy practices while minimizing privacy risk and ensuring the protection of personal information.
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data science jobs in Somersworth, NH
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