Trabajos Remotos de Data Science
Empleos remotos de Data Science. Análisis de datos, modelado estadístico y visualización para empresas globales.
About the Role
The Data Governance function is pivotal in ensuring the integrity, trustworthiness, and effective management of Chime's data assets. Our mission is to establish and operationalize data governance frameworks that not only meet compliance requirements, but actively enable high-confidence decision making across the company. As a Data Governance Engineer, you will develop and implement policies and tools for data quality, developer enablement, certified datasets, and governance automation - with a sharp focus on building trust signals and scorecards that help data consumers quickly understand and act on the reliability of Chime's data.
This is a hands-on engineering role. You will write production-quality code to build automation for governance and data quality processes using Terraform, Python (or similar languages), and contribute to internal libraries, frameworks, and orchestration workflows that enable scalable governance.
You will partner closely with data engineering, analytics, product engineering, and compliance teams to:
- Support Chime in data compliance and risk reduction initiatives
- Establish data quality as a product discipline
- Build trust signals and scorecards that make data reliability transparent and data context valuable for a variety of use cases
- Implement governance workflows upstream, where data are created
- Ensure data context and metadata are sufficient for downstream use cases, including AI applications
You will be involved in reviews of technical designs and implementation plans to provide guidance on appropriate development from a data governance and compliance perspective, acting as a trusted advisor to teams innovating at Chime. You will also be a strong advocate and leader for Artificial Intelligence tooling and adoption at Chime, bringing c
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📌 Rol: Sr Marketing Manager
🌎 Ubicación: 100% remoto (LATAM Only)
💼 Tipo de Contrato: Full Time | Independent Contractor
💰 Salario: USD 4,500 mensuales (flexible)
📋 Descripción General
Empresa enfocada en soluciones tecnológicas para healthcare en USA busca un/a Sr Marketing Manager para liderar estrategias de demand generation y recruitment marketing. La posición combina liderazgo de equipo, growth marketing, analytics y ejecución de campañas digitales orientadas a generación de pipeline y atracción de talento en LATAM.
📋 Responsabilidades Principales
• Desarrollar estrategias B2B de marketing alineadas a objetivos de crecimiento.
• Liderar campañas de lead generation multicanal.
• Gestionar paid media, webinars, email marketing, SEO y funnel optimization.
• Apoyar iniciativas de lead nurturing junto al equipo de ventas.
• Supervisar recruitment marketing y employer branding.
• Liderar y desarrollar un equipo de 5 personas.
• Analizar métricas y optimizar performance de campañas y presupuestos.
• Mejorar reporting systems y procesos operativos de marketing.
• Coordinar proyectos y colaboración cross-functional.
🎯 Requisitos
• Más de 5 años de experiencia en marketing B2B y liderazgo de equipos.
• Experiencia sólida en demand generation y pipeline growth.
• Manejo obligatorio de HubSpot.
• Experiencia con Google Ads, LinkedIn Ads, Meta Ads y email marketing.
• Perfil analítico y orientado a performance optimization.
• Excelente organización y project management.
• Inglés avanzado escrito y oral.
• Experiencia trabajando con empresas o clientes de USA.
✨ Nice To Have
• Experiencia en healthcare marketing.
• Recruitment marketing experience.
• Background en Revenue Operations o funnel optimization.
• Experiencia trabajando con equipos remotos.
🏖️ Beneficios
• Trabajo remoto full time.
• Horario alineado a EST/CST.
• Posición de liderazgo con impacto estratégico.
• Oportunidad de crecimiento en healthcare y B2B marketing.
• Ambiente dinámico y orientado a resultados.
Saas Platform Architect
Remote, United States
About Legion Technologies
Legion Technologies is on a mission to turn hourly jobs into good jobs through intelligent automation and AI. Our AI-powered Workforce Management platform helps enterprises optimize labor efficiency while empowering hourly employees with flexibility, fairness, and control over their schedules.
Our multi-tenant SaaS platform serves large enterprise customers globally, supporting complex scheduling, forecasting, compliance, and analytics workloads across web and mobile applications. We operate at scale â high data volumes, strict availability requirements, and enterprise-grade security standards. The architecture decisions you make here directly affect the scheduling fairness and financial stability of millions of hourly workers worldwide.
Role Overview
We are seeking a Saas Platform Architect to define and lead the architectural evolution of the Legion WFM Platform. You will architect the platform that our enterprise customers run on: designing and building the core systems.
This is a senior, hands-on technical leadership role responsible for shaping our multi-tenant cloud architecture to ensure scalability, resilience, security, and performance at enterprise scale. You will own architectural direction across backend systems, APIs, data infrastructure, and cloud-native services while partnering closely with engineering, product, and leadership teams.
While this role requires cloud fluency, it is fundamentally a software architecture role â you'll be designing and building the product platform in Java/Spring Boot, not managing infrastructure or running operations.
What You'll Do
Platform Architecture & Strategy
- Define and evolve the architecture of Legion's multi-tenant SaaS platform.
- Lead system design for highly scalable, fault-tolerant, distributed services.
- Establish architectural patterns, standards, and long-term
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Job Type: Contractor
Location: Remote
Job Summary
Join our customer team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. You will leverage your expertise in statistics, mathematics, and programming to tackle challenging data problems, ensuring clean, robust, and insightful analyses. This is an exciting opportunity to work in a dynamic, expert-driven environment that values clear communication and innovative thinking.
Key Responsibilities
- Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.
- Develop, validate, and implement statistical models to extract actionable insights from complex data.
- Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.
- Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.
- Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.
- Continuously improve analytical methodologies and automation processes to enhance data workflows.
- Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations.
- Expertise in statistics, mathematics, and data analysis techniques.
- Proven experience in collecting, handling, and cleaning large, complex data sets.
- Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling.
- Strong data modeling skills with experience in building and validating predictive models.
- Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.
- Meticulous attention to detail and commitment to data quality at every stage.
- Excellent written and verbal communication skills, with an emphasis on clarity and precision.
- Experience working in a remote, cross-functional, or customer-focused team environment.
- Background in developing and deploying machine learning solutions in production settings.
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The Research Assistant I (Part-Time, Remote) in the Opendak Lab will provide dedicated data analysis support for ongoing research projects. This role is fully remote and focused on computational and statistical work, including processing behavioral, electrophysiological, and imaging datasets, contributing to publications and reports, and supporting the analytical needs of the lab.
Responsibilities
- Perform statistical analyses on behavioral, electrophysiological, and imaging datasets under direction of the PI.
- Process and clean raw data; maintain organized, well-documented data files and analysis pipelines.
- Develop figures, graphs, and visualizations of project results for manuscripts, presentations, and grants.
- Contribute to preparation of publications, grant reports, and conference presentations based on Opendak Lab research.
- Organize, clean, and analyze data in Microsoft Excel; maintain well-structured spreadsheets and analysis files across projects.
- Oversee undergraduate data analysts in analysis theory and implementation as needed.
- Participate in remote lab meetings and check-ins on a regular schedule to communicate progress and coordinate with team members.
- Enhance professional growth and development through educational programs, workshops, and seminars.
EDUCATION:
Bachelor's degree in a science-related field (e.g., neuroscience, biology, psychology, computer science, biomedical engineering, mathematics, or statistics) is required.
EXPERIENCE:
- Prior research experience involving data analysis is strongly preferred.
- Candidates with demonstrated Excel proficiency and coursework in statistics will be considered.
USD $36,955.98/Yr.
Maximum pay range
USD $60,296.50/Yr.
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What You Will Do
- Own the end-to-end design and delivery of new features and systems that enhance player engagement, retention, and monetization
- Work hands-on to conceptualize, prototype, and iterate on meta systems, game modes, events, challenges, and social mechanics that align with the game's audience and brand tone
- Contribute to systems design discussions around economy, progression, and balancing to support feature goals
- Evaluate live data and player feedback to identify opportunities for iterative improvements to core loops, game modes and live-ops features
- Translate high-level business and creative goals into detailed feature specs, wireframes, and documentation
- Partner closely with Product, Analytics, and Engineering to design, tune, and optimize features based on player behavior and game KPIs
- Collaborate with cross-functional teams (Art, UX, Production)
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About The Role:
Our data feed business is one of the fastest-growing segments of YipitData. To accelerate that growth, we're looking for a Product Manager to own and help scale several of our data feed products.
This is not a maintenance role. We are in the midst of a strategic transformation, moving towards a more centralized, commercially accountable product management model. You will be instrumental in shaping how that model works, establishing best practices, and driving both internal and external impact across a portfolio of high-value alternative data feeds.
Our Feeds organization includes product managers, quant researchers, product specialists, feed operations, and product marketers. We collaborate closely with engineering partners (who own technical architecture, infrastructure, and delivery) and our go-to-market teams (Sales, CS, and dedicated Product Specialists who sit between Product and Sales). Together, we build data feed products on top of proprietary and exclusively licensed alternative datasets - including transaction data, email receipt data, B2B spend data, and more - serving fundamental, quantitative, and systematic investors.
What You'll Do
Product Strategy & Roadmap Ownership
- Own the product roadmap for one or more data feeds, defining, prioritizing, and evangelizing the what and the why behind what we build
- Set product vision and strategy that balances both internal customer needs (Quant research team requirements, analyst workflows) and external client needs (buy-side investors, quant/systematic funds)
- Translate business goals into a technical roadmap in close partnership with engineering, ensuring strategy matches technical reality
- Contribute to long-term feed portfolio strategy, identifying opportunities for new products, enhancements, and market expansion
Commercial Accountability
- Share ARR and P&L accountability alongside Product Specialists / Product Enablement partners for the feeds you own.
- Conduct deep customer and market research to understand
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About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
UI Developer (React and Node)
\n- AngularJS, JavaScript, CSS3, React JS, HTML5, Vue JS, Angular
- 8+ years focused on web development.
- Deep knowledge of React, Cordova, NodeJS, Typescript, and HTML
- 5+ years of experience in building ReactJS applications using React in complex applications.
- Expertise in building and maintaining large-scale web applications.
- Deep understanding of Javascript and HTML ecosystems with experience delivering web UIs as a feature developer
- Expertise in writing tests for complex applications.
- Experience with CI/CD, version control, defect tracking, and build systems.
- Knowledge of web and mobile security
- Know more about <add practice specific page link from Brillio website>
- PPE: https://www.brillio.com/platform-and-product-engineering/
- DAE: https://www.brillio.com/services-data-analytics/
- CES: https://www.brillio.com/services-customer-experience-services/
- DI: https://www.brillio.com/services-digital-infrastructure/
- Know what itâs like to work and grow at Brillio: https://www.brillio.com/join-us/
- Know what itâs like to work and grow at Brillio: https://www.brillio.com/join-us/
- #LI-RJ1
Know what itâs like to work and grow at Brillio: Click here
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Join Our Team
Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.
As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.
We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.
About the Role:
We are seeking a hands-on Big Data Engineer to support and enhance an AWS-based data platform, focusing on pipeline reliability, scalable processing, and performance optimization. This role requires strong Python expertise, deep familiarity with AWS data services, and the ability to maintain production-grade data workflows.
You will work on event-driven pipelines, contribute to CI/CD improvements, and collaborate on platform reliability initiatives. This role is ideal for someone who enjoys building and maintaining data infrastructure, optimizing large-scale data processing systems, and working in cloud-native environments.
This is a 6-month engagement, aligned to ET time zone.
\n- Develop and maintain data processing logic using Python
- Build, optimize, and support data pipelines using AWS Glue and Lambda
- Write and optimize complex SQL queries for analytics and operational workloads
- Support platform reliability and pipeline monitoring
- Contribute to CI/CD processes using GitHub and GitHub Actions
- Collaborate on infrastructure improvements using Infrastructure-as-Code principles
- Troubleshoot and resolve pipeline failures and performance issues
- Support data consumption layers used by BI tools
- 4+ years of experience as a Data Engineer / Big Data Engineer
- Strong hands-on Python experience (data processing and application logic)
- Advanced SQL skills (query optimization, performance tuning)
- Production experience with AWS Lambda and AWS Glue
- Experience working with CI/CD tools (GitHub, GitHub Actions)
- Familiarity with Snowflake and/or Aurora
- Understanding of Infrastructure-as-Code (IaC) concepts
- Comfortable working in the ET time zone
- Experience with BI tools (Sigma preferred)
- Experience with event-driven architectures
- Exposure to enterprise-scale data platforms
Benefits & Perks:
Home office;
Competitive compensation based on experience;
Career plans to allow for extensive growth in the company;
International Projects;
Oowlish English Program (Technical and Conversational);
Oowlish Fitness with Total Pass;
Games and Competitions;
You can also apply here:
Website: https://www.oowlish.com/work-with-us/
LinkedIn: https://www.linkedin.com/company/oowlish/jobs/
Instagram: https://www.instagram.com/oowlishtechnology/
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About Life360
Life360's mission is to keep people close to the ones they love. Our category-leading mobile app,Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 91.6 million monthly active users (MAU), as of September 30, 2025, across more than 180 countries.
Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).
Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.
Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above.
About The Team
The Horizons DevOps and Infrastructure team supports large-scale, data-intensive platforms that power real-time adtech and data science workloads across the organization. The team owns and operates critical infrastructure and data platforms, including Databricks, Snowflake, Apache Airflow, and Kubernetes-based services, processing fifty billions of requests and tens of terabytes of data daily. Working closely with data engineering, data science, and security teams, the group focuses on building reliable, scalable, and automated systems that enable high-throughput data processing, analytics, and ML workflows. Team members take end-to-end ownership of production systems, influence architectural direction, and play a key role in evolving the platform as the organization integrates new technologies and scales further.
About the Job
We are seeking a
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ComputerCare has spent more than 20 years building something rare in the IT world: a company where technical excellence and genuine human connection are valued equally. We're the trusted partner that IT leaders turn to when technology can't afford to fail. As a woman-owned business serving innovative companies worldwide, we combine certified technical expertise with a human approach. Whether it's managing complex device lifecycles for global teams or performing authorized repairs for Apple, Lenovo, HP and Dell devices, our work directly impacts how thousands of people stay productive every day. We never outsource our work because we believe in accountability, quality, and building lasting relationshipsâwith our clients and as a team.
If you're passionate about technology, take pride in solving real problems, and want to be part of a company that values both technical excellence and the people behind it, ComputerCare is where you belong.
Come join us in our mission of being the Human Side of Hardware!
Weâre looking for a Data Analyst II to serve as a key point of contact and subject matter expert for data-related requests and system updates. Youâll analyze, extract, and interpret data from multiple systems, including SQL databases and reporting tools, and implement data solutions that support business workflows and decision-making.
If you enjoy solving complex problems with data and making an impact, we want you on our team!
\n- Assist in designing and structuring database architecture to support scalable data storage, efficient querying, and optimized performance.
- Demonstrate understanding of relational databases, including tables, schemas, indexing, normalization, and relationships.
- Help build and maintain data pipelines to move and transform data between systems while ensuring accuracy and reliability.
- Create dashboards, reports, and visualizations using SQL, Excel, Tableau, Power BI, or Looker Studio to communicate findings clearly to stakeholders.
- Analyze large datasets to identify trends, patterns, correlations, and actionable insights that support business decisions.
- Collect, organize, and maintain data from multiple sources while ensuring data integrity and accuracy.
- Write, maintain, and optimize SQL queries for reporting, analysis, and data extraction.
- Clean, preprocess, and transform raw data using SQL and Python to prepare it for analysis and reporting.
- Work with cross-functional teams to understand business requirements, define KPIs, and translate them into analytical solutions.
- Identify inefficiencies in data processes and implement automation using SQL, Python, or ETL tools to improve workflow and data quality.
- Bachelorâs degree in Computer Science, Information Systems, Statistics, Mathematics, or a related field.
- 2â5 years of experience in data analysis, reporting, or database management.
- Experience working with SQL databases and writing complex queries.
- Experience with Python (pandas, NumPy) and other scripting languages for data manipulation.
- Experience with data visualization tools (HEX, Tableau, Power BI, Excel dashboards).
- Comprehensive Medical, Dental, and Vision plans to keep you feeling your best
- 401(k) with employer matchâbecause your future matters
- Company-paid Life Insurance, plus HSA & FSA options
- Employee Assistance Program (EAP) for real support when you need it
- Adoption Assistance to help grow your family
- Commuter Benefits for an easier ride
- Free Coursera Professional Certifications to level up your skills
- Generous vacation & sick time, plus paid time off to give back to your community
If you get to this point, we hope you're feeling excited about the job you just read. Even if you don't feel that you meet every single requirement, we still encourage you to apply. We're eager to meet people that believe in ComputerCareâs mission, core values and can contribute to our team in a variety of ways â not just candidates who check all the boxes.
At ComputerCare, we welcome passionate individuals who have the unrestricted right to work in the United States, including natural citizens and Green Card holders.
ComputerCare is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
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📌 Rol: Corporate Social Media Manager
🌎 Ubicación: Remoto (LATAM)
💼 Tipo de Contrato: Full-Time
📋 Descripción General
Responsable de desarrollar y ejecutar estrategias de redes sociales para fortalecer la presencia de marca, aumentar el engagement y generar crecimiento mediante contenido creativo y optimizado con datos.
📋 Responsabilidades Principales
• Diseñar y ejecutar estrategias en LinkedIn, YouTube e Instagram.
• Crear y publicar contenido (videos, imágenes y copy).
• Editar videos y reels con herramientas como CapCut.
• Analizar métricas y optimizar campañas.
• Implementar herramientas de IA para automatización y contenido.
• Colaborar con equipos de marketing y diseño.
🎯 Requisitos
• Experiencia en gestión de redes sociales.
• Manejo de plataformas como LinkedIn, YouTube e Instagram.
• Conocimiento de herramientas AI y edición de video.
• Experiencia en analytics y SEO/SEM.
• Buenas habilidades de comunicación y creatividad.
🏖️ Beneficios
• Pago competitivo en USD.
• Pagos quincenales.
• Ambiente colaborativo y dinámicas de equipo.
• Beneficios adicionales con marcas asociadas.
The Data Analyst will work closely with business stakeholders, analytics engineers, data engineers, and leadership teams to build trusted reporting solutions, validate business logic, improve data quality, and support data-driven decision-making across the organization.
The ideal candidate has strong analytical fundamentals, advanced SQL skills, experience with modern cloud analytics platforms, and the ability to communicate insights clearly to both technical and non-technical audiences. This role is well suited for someone who is detail-oriented, curious, comfortable working with evolving data workflows, and interested in using automation and AI-assisted analytics tools to improve productivity, reporting quality, and operational efficiency.
What You'll Do
- Analyze large and complex datasets to identify trends, anomalies, risks, and business opportunities.
- Build, maintain, and improve dashboards, recurring reports, and self-service analytics solutions.
- Write efficient SQL queries to support business reporting, ad hoc analysis, and data validation.
- Partner with analytics engineering and data engineering teams to validate and consume curated datasets.
- Assist in designing, testing, and validating data models used in reporting and analytics workflows.
- Translate business questions into measurable KPIs, analytical frameworks, and reporting requirements.
- Perform data quality checks, investigate reporting inconsistencies, and support root cause analysis.
- Document business logic, metric definitions, data sources, reporting methodologies, and assumptions.
- Support workforce analytics, headcount reporting, workforce movement analysis, forecasting, and operational reporting.
- Collaborate with stakeholders across Finance, HR, Operations, Product, and business leadership.
- Identify opportunities to automate manual reporting processes and improve analytics scalability.
- Support automation initiatives that reduce repetitive work and improve reporting consistency.
- Use AI-assisted tools where appropriate to support analysis, documentation, workflow development, and reporting efficiency.
- Validate AI-assisted outputs using strong analytical judgment, business context, and data quality standards.
- Contribute to the continuous improvement of reporting standards, analytics processes, and data governance practices.
- 2-5 years of experience in data analytics, business intelligence, reporting, or a related analytical role.
- Strong proficiency in SQL for data extraction, transformation, analysis, and validation.
- Experience working with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Azure Synapse.
- Experience building dashboards and reports using BI tools such as Tableau, Power BI, Looker, or AWS QuickSight.
- Strong understanding of relational databases, data modeling concepts, and analytical data structures.
- Ability to work with large datasets, complex business logic, and multiple data sources.
- Strong analytical, problem-solving, and critical-thinking skills.
- High attention to detail and commitment to data accuracy.
- Ability to manage ad hoc analysis requests while balancing recurring reporting priorities.
- Strong communication skills, with the ability to explain data findings to technical and non-technical audiences.
- Experience working with business stakeholders to gather requirements and translate them into reporting solutions.
- Ability to document assumptions, methodologies, business rules, and reporting logic clearly.
- Experience in supporting HR, workforce, finance, operations, or SaaS business analytics.
- Experience with modern data transformation tools such as dbt.
- Familiarity with ETL/ELT pipelines and modern data stack architecture.
- Understanding of data governance, data quality, and reporting standardization best practices.
- Experience working with APIs, SharePoint data sources, or automated data ingestion workflows.
- Exposure to Python or other scripting languages for automation and data analysis.
- Experience working with Git or version-controlled analytics workflows.
- Exposure to knowledge graphs, entity relationship modelling, or semantic data structures, especially as applied to workforce analytics, business reporting, data discovery, or AI-assisted analytics workflows.
- Familiarity with AI-assisted analytics tools, generative AI copilots, automated insight generation, or workflow automation platforms.
- Experience using AI tools for general productivity, including drafting documentation, summarizing information, improving workflows, and accelerating routine analytical tasks.
- Experience using AI-assisted development tools or coding copilots to support SQL writing, scripting, debugging, documentation, or analytics workflow development.
- Familiarity with using AI to support automation, such as generating scripts, streamlining recurring reporting tasks, creating data validation checks, or improving manual business processes.
- Experience working in Agile analytics, product analytics, or cross-functional delivery teams.
- Curiosity about emerging analytics technologies, workflow automation, and AI-enabled business intelligence.
- Snowflake
- SQL
- dbt
- Tableau
- Power BI
- AWS QuickSight
- Cloud-based analytics platforms
- Workforce and operational reporting datasets
- SharePoint and other business data sources
- Git and version-controlled analytics workflows
- AI-assisted productivity, development, and analytics tools
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We are urgently seeking a clinically-adept and highly experienced Director of Partner Operations to lead the strategic management and operational success of our key hospital and health system partnerships.
This pivotal role requires a strong fusion of clinical knowledge, expert project management, and strategic account leadership to drive the successful implementation, adoption, and ongoing clinical value realization of our programs within complex hospital environments. You will be the dedicated operational and strategic leader, ensuring seamless integration and achieving defined clinical and operational outcomes.
Key Responsibilities Analytics & Strategy: Translate performance reports and KPIs into actionable strategic plans and operational adjustments necessary to meet or exceed targets.
- Strategic Partnership & Clinical Engagement
- Account Ownership: Serve as the dedicated operational lead for assigned hospital system partners, owning overall relationship health, partner satisfaction, and driving the achievement of established clinical outcomes.
- Deep Clinical Integration: Engage directly with hospital department leads, CMOs, CNOs, and operational leaders to understand clinical pathways and ensure seamless integration of our programs into existing hospital workflows.
- Value Realization: Proactively identify growth opportunities by continuously demonstrating the clinical and economic ROI of the partnership to executive stakeholders.
- Relationship Cultivation: Build and maintain high-trust, long-term relationships with mid-to-senior level hospital executives.
- Program/Project Implementation Leadership
- End-to-End Management: Lead and execute the full project lifecycle for new partner implementations, including detailed planning, resource allocation, and risk management.
- Implementation Oversight: Drive the clinical and operational onboarding process, ensuring rapid time-to-value and smooth integration with hospital IT/EMR systems.
- Cross-Functional Coordination: Act as the primary operational hub, expertly coordinating internal teams (Product, Clinical Ops, Technology) to meet partner commitments and milestones.
- Operational Performance & Governance
- Performance Tracking: Oversee performance governance, and present regular, data-driven operational and clinical health reports to executive stakeholders, both internal and external.
- Issue Resolution: Act as the highest-level operational escalation point, managing and resolving complex clinical workflow issues swiftly to minimize disruption.
- Clinical Background in Philadelphia (Highly Ideal): Active or prior experience as a Registered Nurse (RN), Paramedic, or Social Worker is strongly preferred.
- Hospital Experience: Deep, demonstrable understanding of hospital clinical workflows, service line operations, and the financial/operational challenges of acute care delivery.
- Attention to Detail: Exceptional organizational skills and a high attention to detail in navigating complex clinical environments and implementation plans.
- Experience: 5+ years of progressive experience in strategic account management, partner operations, or complex project management specifically within the hospital/health system space.
- Education: Bachelor's degree in Business Administration, Healthcare Management, Clinical Sciences (e.g., Nursing, Allied Health), or a related field.
- Project Leadership: Proven expertise in leading and managing large-scale, complex implementation projects.
- Executive Communication: Exceptional executive-level communication, presentation, and negotiation skills, with proven ability to influence hospital administrators and clinical leadership.
- Travel: Ability to travel up to 50% to manage critical partner relationships and implementations.
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Sobre trabajos de Data Science
Empleos remotos de Data Science. Análisis de datos, modelado estadístico y visualización para empresas globales. En RemoteJobs.lat conectamos a profesionales de Latinoamérica con empresas que ofrecen trabajo 100% remoto. Todas nuestras ofertas permiten trabajar desde cualquier ciudad, con pagos en dólares o moneda internacional.
Rango salarial
$4,000 - $12,000 USD/mes
Posiciones abiertas
118
Ubicación
100% Remoto LATAM
Rangos salariales de Data Science por seniority
Rangos estimados en USD/mes para contratos remotos con empresas internacionales. Varían según empresa, stack complementario y ubicación del cliente.
| Nivel | Años de experiencia | Rango USD/mes |
|---|---|---|
| Junior | 0-2 | $4,000 - $6,000 |
| Semi-Senior | 2-4 | $5,600 - $8,400 |
| Senior | 4-7 | $8,000 - $10,800 |
| Lead/Staff | 7+ | $10,000 - $12,000 |
Empresas que contratan Data Science remoto desde LATAM
Algunas compañías que históricamente han contratado perfiles de Data Science para trabajar 100% remoto desde Latinoamérica: