Trabajos healthcare data scientist en Dallas, TexasCrear alertas

This GCP Data Scientist must work 2 to 3 days in the local office. Only resume via LinkedIn not email will be reviewed. Responsibilities • Contribute to the migration of legacy data warehouse to a google cloud-based data warehouse, • Collaborate with Data Product Managers, Data Architects to design, implement, and deliver successful data solutions, • Help architect data pipelines for the underlying data warehouse and data marts, • Design and develop very complex ETL pipelines in Google cloud Data environments., • Our legacy tech stack includes Teradata and new tech stack includes GCP Cloud Data Technologies like BigQuery and Airflow and languages include SQL , Python, • Maintain detailed documentation of your work and changes to support data quality and data governance, • Support QA and UAT data testing activities, • Support Deployment activities to higher environments, • Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams), • Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team Basic Qualifications • 8+ years of data engineering experience developing large data pipelines in very complex environments, • Very Strong SQL skills and ability to build Very complex transformation data pipelines using custom ETL framework in Google BigQuery environment, • Exposure to Teradata and ability to understand complex Teradata BTEQ scripts, • String Python programming skills, • Strong Skills on build Airflow Jobs and Debug issues, • Ability to Optimize the Query in BigQuery, • Hands-on experience on Google Cloud data Technologies ( GCS , BigQuery, Dataflow, Pub sub, Data Fusion , Cloud Function) Preferred Qualifications • Experience with cloud data warehouse technology BigQuery., • Nice to have experience with Cloud technologies like GCP (GCS , Data Proc, Pub/sub, Data flow, Data Fusion, Cloud Function), • Nice to have exposure to Teradata, • Solid experience with Job Orchestration Tools like Airflow and ability to build complex Jobs., • Writing and maintaining large Data Pipelines using Custom ETL framework, • Ability to Automate Jobs using Python, • Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices, • Very good experience with Code Version control repository like Github, • Good Scripting skills, including Bash scripting and Python, • Familiar with Scrum and Agile methodologies, • Problem solver with strong attention to detail and excellent analytical and communication skills, • Ability to work in Onsite / Offshore model and able to lead a Team. The base compensation range for this role in the posted location is $76,200 to $187,740. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave, • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada), • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada), • Life and disability insurance, • Employee assistance programs Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. ___ Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Job Description Position Details: Industry: Information Technology Position: Data Scientist Duration: 12 Months of Contract (Renewable) Location: Dallas, TX (Onsite) Skills Required: Minimum of ten (10) years of data experience in any combination of the following: Working with data warehouses and/or big data sets Working with database management systems Implementing data models, universes and data warehouses. Working with IT healthcare database support. Developing, executing, and tuning Structured Query Language (SQL) queries Data visualization, dash boarding, and business intelligence development. SAP HANA, Oracle, MS SQL and/or Hadoop administration Prefer previous experience within a clinical unit of a healthcare organization.

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit . About This Opportunity We are looking for a Senior Customer Data Scientist who thrives at the intersection of cutting-edge AI and real enterprise impact. You will work directly with some of APAC's most sophisticated organisations - helping them move from AI curiosity to AI value, across the full spectrum of predictive and generative AI. This is not a lab role. You will be in the room with executives, data science teams, and business stakeholders - building solutions, running enablement programs, and translating complex AI into outcomes that decision-makers can act on. You will be backed by a world-class team including Kaggle Grandmasters, and equipped with H2O.ai's industry-leading platform spanning AutoML, LLM Studio, and agentic AI tooling. This position is based in Dallas, Texas. What You Will Do AI Solution Development & Delivery • Design and build custom AI/ML agents and applications using the H2O AI stack, tailored to high-value industry use cases across banking, insurance, healthcare, retail, and manufacturing., • Lead end-to-end GenAI solution delivery - LLM selection and evaluation, fine-tuning, RAG pipeline design, LLMOps, and guardrails - at enterprise scale., • Develop agentic AI workflows that automate complex, multi-step business processes and integrate into customer production environments., • Design and deliver hands-on enablement programs - workshops, hackathons, bootcamps, and training sessions - for audiences ranging from data scientists to C-suite executives., • Guide customers through their AI adoption journey: from first use case identification through model governance, monitoring, and continuous improvement., • Help customers get maximum value from H2O.ai products including Driverless AI, H2O Wave, H2O LLM Studio, H2O-3, and Document AI., • Translate technical AI outputs into compelling business narratives - clearly articulating value, risk, and next steps for non-technical stakeholders and executives., • Serve as a trusted technical advisor across customer organizations, building deep relationships with data science teams, business units, and AI leadership., • Contribute to pre-sales engagements - scoping solutions, building proof of concepts, and providing technical credibility that accelerates deal progression., • Contribute to H2O.ai's GenAI and ML platform evolution by feeding customer insights and real-world requirements back into product and engineering teams., • Develop industry-specific accelerators, demo environments, and solution playbooks for the Field Technology team. Experience & Background • 5+ years of hands-on experience in data science, machine learning, and AI, with a proven track record delivering projects for enterprise customers., • Strong expertise across both predictive AI (GLMs, gradient boosting, random forests, neural networks, time-series, anomaly detection) and generative AI (LLMs, RAG, fine-tuning, evaluation, guardrails)., • Demonstrated experience building and deploying AI agents and GenAI applications for industry-specific use cases., • Exceptional customer-facing communication skills - able to engage credibly with engineers, data scientists, and C-suite executives in the same day., • Fluency in Python and standard ML/data science libraries and frameworks., • Hands-on experience with H2O.ai products or comparable enterprise AI/ML platforms., • Strong understanding of enterprise AI requirements: security, governance, scalability, compliance, and responsible AI., • Kaggle competition experience or active participation in the data science community., • Published blogs, conference talks, or open-source contributions demonstrating thought leadership in AI., • Experience in regulated industries - financial services, healthcare, or government - with an understanding of compliance and risk considerations in AI deployment., • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR sF5eyD1FgS

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