Data analyst jobs in California

About the Role Savills is seeking a Research & Strategy Analyst to join its Life Sciences Practice Group. This hybrid role blends market research, strategic insight, and business development support to empower brokers, consultants, and clients with high-impact intelligence. The ideal candidate is analytically sharp, intellectually curious, and eager to contribute across both life sciences-specific initiatives and broader commercial real estate research functions. This is a unique opportunity to work at the nexus of science, data, and strategy in one of the industry's fastest-growing sectors. Key Responsibilities Research Operations & Market Data Management Maintain and update proprietary databases tracking inventory, leasing activity, sales comparables, ownership structures, development pipelines, and tenant movements in key markets. Contribute to the production of quarterly market statistics and collaborate with national and regional teams on sector-specific reports. Ensure accuracy and consistency of data across platforms to support client-ready deliverables and leadership decision-making. Client-Focused Research & Broker Support Respond to requests for market intelligence to support broker teams and strategic pursuits. Partner with brokers and across functions to develop data-driven materials for client meetings, pitch decks, and presentations. Leverage research outputs to support marketing campaigns, graphics, and thought leadership placement tailored to client needs. Build scalable templates and tools that enhance service delivery across geographies. Life Sciences Industry Intelligence Monitor companies in the biotech, medtech, and pharmaceutical sectors-from early-stage startups to public firms-tracking funding milestones, clinical pipelines, partnerships, and expansions. Identify real estate decision inflection points (e.g., IPOs, new clinical phases, M&A activity) and align those with broker outreach and opportunity pipelines. Maintain and regularly update a curated list of strategic targets to support CRM integration and proactive client engagement. Translate complex industry developments into relevant real estate implications for internal and external audiences. CRM Strategy, Pipeline Tracking & Business Enablement Leverage Savills Salesforce environment to track target companies, contacts, and opportunities aligned with life sciences growth triggers. Maintain detailed and dynamic CRM records to reflect company stage, activity history, strategic touchpoints, and geographic expansion status. Collaborate with brokers and marketing to execute targeted outreach campaigns based on funding events, clinical milestones, and relocation trends. Develop dashboards and reports that visualize pipeline health, deal progress, and prospect engagement across key geographies. Qualifications Bachelor's degree required; advanced degree (MBA, MS, PhD) or relevant certifications preferred. 2-6 years of experience in life sciences, research, management consulting, or corporate strategy. Deep familiarity with biotech, pharma, and/or medtech industries including R&D pipelines, funding dynamics, and commercialization paths. Exceptional analytical skills with the ability to distill complex data into strategic insights. Strong written and verbal communication skills; experience writing reports or market commentary is a plus. CRM platform experience (Salesforce) is preferred. Highly organized, detail-oriented, and motivated to work in a fast-paced, entrepreneurial environment. Why Join Savills Life Sciences? Savills is a global leader in real estate advisory, with a top-tier Life Sciences team that supports clients ranging from emerging startups to global pharmaceutical companies. Our platform empowers innovation-combining data, insight, and strategy to help clients make real estate decisions that accelerate science. As part of our team, you'll help shape how we track the future of life sciences and grow our presence in the most exciting markets in North America and beyond. Savills values a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetic information, disability, age, veteran status, or any other protected characteristic. Savills participates in the E-Verify program.

JSG is seeking a Data Coordinator for an onsite, temp to hire position for our client in Woodland Hills, CA. This role is ideal for someone with strong attention to detail, solid technical skills, and a great attitude toward learning and growth - willingness to learn new systems. New graduates are encouraged to apply! As part of a collaborative team, you'll play a key role in maintaining accurate product, pricing, and customer information - ensuring smooth operations across departments such as Product, Sales, Marketing, and Accounting. You'll also have the opportunity to learn reporting tools, contribute to process improvements, and support data-driven decision-making. Key Responsibilities Maintain accurate and up-to-date product, pricing, and customer data within the reservation system. Collaborate with cross-functional teams on new product setups, pricing updates, and promotions. Audit and validate data to ensure accuracy and consistency across systems. Assist in generating reports and dashboards to support business insights. Support ongoing process improvement initiatives to enhance operational efficiency. Coordinate with Accounting and Sales teams to align data and reporting needs. Provide user support for data-related questions or reporting tools. Qualifications: Associate's degree or higher preferred; new graduates are welcome. 6 mos. - 1yr of work experience Intermediate Microsoft Excel and proficient with Microsoft Office Suite. Strong analytical, organizational, and problem-solving skills. Excellent attention to detail and ability to manage multiple priorities. Positive attitude, adaptability, and willingness to learn new systems and tools. Strong verbal and written communication skills; ability to work effectively across departments. Basic reporting understanding of Tableau Seaware experience a plus Pay rate: $24/hr. #D800 JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.

*LOCAL CANDIDATES ONLY. IF YOU APPLY & ARE NOT LOCAL, YOU WILL NOT GET A CALL.* Please make sure you read the following details carefully before making any applications. *THIS ROLE IS HYBRID ONSITE IN ORANGE, CA. (ONSITE EVERY WEDNESDAY, THEN EVERY OTHER MONTH YOU'D ALSO WORK ONSITE ON TUESDAY AND THURSDAY.)* *NO 3RD PARTY FIRM / C2C CANDIDATES. AND NO, I CANNOT HIRE YOUR CONSULTANTS ON MY W2. * *THIS IS NOT A DATA ANALYST, FINANCIAL ANALYST, PROGRAMMER ANALYST, OR APPLICATION SUPPORT/ADMIN ROLE. THIS IS A TRADITIONAL BUSINESS ANALYST WORKING ON SOFTWARE / API BASED PROJECTS.* KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a *Business Analyst: gathering/doc sessions for software / API projects in healthcare/health insurance 'Intangibles'* * *This position may ultimately migrate to a Lead Business Analyst role in the future. Correspondingly. Skills associated with the coordination and leadership of business analysts are desirable.* * *The successful candidate will command gatherings of internal stakeholders. Leads and drives requirements-related conversations with *_*gravitas*_ *and demonstrates skill in correlating requirements with existing functionality in the vendor SaaS platform.* *Purpose of Position:* The Sr. Business Analyst is responsible for gathering, analyzing, writing, reviewing, and maintaining business and technical requirements and related artifacts for healthcare insurance-related application development initiatives, while collaborating with team members. *Essential Functions:* Perform the business analysis activities listed below at a _*high level of competence, independence, minimal supervision, and within standards and principles defined by the supervisor or management*_. Support and engage in best practices, a culture of learning, and continual improvement for the business analysis activities below. * *Business Analysis Planning and Monitoring* * Plan and execute an approach for establishing and maintaining effective working relationships with the stakeholders * Plan and execute business analysis: * approach to define an appropriate method to conduct business analysis activities * governance to define how decisions are made about requirements and designs, including reviews, change control, approvals, and prioritization * information management to develop an approach for how business analysis information will be stored and accessed * Identify business analysis performance improvements to assess business analysis work and plan to improve processes where required * *Elicitation and Collaboration* * Prepare for elicitation to understand the scope of the elicitation activity and select appropriate techniques * Conduct elicitation to draw out, explore, and identify information relevant to the change * Confirm elicitation results to check the information gathered during an elicitation session for accuracy and consistency with other information * Communicate business analysis information to ensure stakeholders have a shared understanding of business analysis information * Manage stakeholder collaboration to encourage stakeholders to work towards a common goal * *Requirements Life Cycle Management* * Trace requirements to ensure that requirements and designs at different levels are aligned to one another, and to manage the effects of change to related requirements * Maintain requirements to retain requirement accuracy and consistency throughout and beyond the change during the entire requirements life cycle, and to support reuse of requirements in other solutions * Assess requirements changes to evaluate the implications of proposed changes to requirements and designs * Obtain agreement on and approval of requirements and designs for business analysis work to continue and/or solution construction to proceed * *Requirements Analysis and Design Definition* * Specify and model requirements to analyze, synthesize, and refine elicitation results into requirements and designs * Verify requirements to ensure that requirements and designs specifications and models meet quality standards and are usable for the purpose they serve * Validate requirements to ensure that all requirements and designs align to the business requirements and support the delivery of needed value * Define design options to define the solution approach, identify opportunities to improve the business, allocate requirements across solution components, and represent design options that achieve the desired future state * *Miscellaneous Tasks in Support of Project Management and SDLC* * Various assigned activities in support of project management or the Software Development Life Cycle (SDLC) * *Perform other business tasks or functions as assigned.* Requirements: * *High School diploma or equivalent required. * * *Bachelor's Degree or equivalent experience* * *Relevant professional Business Analysis Certification(s) preferred* * Familiarity with the operational culture of highly regulated industries * Health Insurance industry experience is preferred * *At least 5-8 years in a recent senior-level Business Analyst role that includes LEADING reqs gathering sessions. * * *Documentation skills that include use cases, user stories, process flows, etc.* * *Project experience should include software development, SaaS product implementations, and/or integrations related software projects.* * Problem Solving: apply structured approaches to understanding problems to develop effective solutions, and ensure successful implementation * Creative Thinking: productively generate, consider, and apply new ideas to existing problems * _Decision Making: _demonstrate an effective understanding of the criteria involved in sound decision making * _Learning: _quickly assimilate new and different types of information; adapt existing knowledge to current and future circumstances * _Conceptual Thinking: _grasp abstract ideas, identify patterns, and synthesize information * _Visual Thinking: _communicate complex concepts into understandable visual representations * All communication must always use proper grammar, punctuation, and spelling * Modulate communication content for various informational needs and audiences * Able to listen attentively with the goal of understanding * Facilitation of group discussions on complex topics * Exercising of leadership and influence without necessarily having authority * Work productively with team members and stakeholders * Negotiation and resolution of conflicts among team members and stakeholders * Teaching and communication of business analysis concepts and ideas * Competence in Microsoft Outlook, Excel, Word, PowerPoint, Visio, SharePoint, Teams * Experience using software to support and manage the Software Development Lifecycle (e.g. Azure DevOps, Jira, etc.) * Experience with Requirement Management Software preferred (e.g. JAMA, Rally, etc.) * Works with a high degree of ownership over one's responsibilities, deliverables, and respective results * Executes responsibilities with a high level of courtesy, tact, openness, and integrity * Continually develops trust among colleagues and stakeholders *Physical Requirements* *Must be able to sit for extended periods of time and occasionally stand and walk. * *Must have adequate hearing for phone work. * *Vision requirements include close vision and the ability to adjust focus. * *Must be able to communicate effectively in English. * *Must be able to use a keyboard and other office equipment. * *Ability to lift up to 10 pounds occasionally.* Compensation depends on experience but is typically $50-63.62/hr W2 ABOUT KORE1 Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies. *Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. xevrcyc Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.* Pay: $50.00 - $63.62 per hour Expected hours: 40 per week Benefits: * 401(k) * AD&D insurance * Dental insurance * Disability insurance * Flexible spending account * Health insurance * Life insurance * Paid sick time * Vision insurance Work Location: Hybrid remote in Orange, CA 92868

Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're expanding our data science organization to accelerate customer success after the initial sale-driving onboarding, retention, expansion, and long-term revenue growth. About the Role As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention. Key Responsibilities Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring. Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion. Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn. Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals. Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams. Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions. About You Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment. Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring. Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy. Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders. Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

EdgeX builds infrastructure-free IoT systems for real-time asset tracking and environmental monitoring, primarily in healthcare and industrial environments. Our sensors and platform operate entirely independent of facility IT, enabling instant deployment and insights. As part of our platform evolution, we have implemented Microsoft Azure Data Explorer (ADX) to enhance scalability, performance, and long-term maintainability across our data ecosystem. Role We are seeking an Advisory Azure Data Architect with deep expertise in IoT, time-series data, and observability platforms to provide expert oversight and validation as we transition more services and reporting workloads to ADX. This is a part-time, advisory engagement - ideal for a seasoned architect who can dedicate a few hours per week to help ensure that our ADX implementation, data migration strategy, and observability stack are aligned with best practices for scalability, performance, and cost efficiency. Key Responsibilities • Act as a strategic advisor to our engineering and infrastructure teams as we integrate additional systems and reports with ADX. • Review and validate existing ADX configurations, ingestion pipelines, and data models. • Provide guidance on data migration strategies, retention policies, and performance optimization. • Ensure proper observability and monitoring are in place using tools such as Datadog, Azure Monitor, and related platforms. • Offer best practices for managing and scaling telemetry and IoT data workloads. • Participate in periodic architecture reviews and provide actionable feedback to technical leadership. What We're Looking For • Proven experience designing and optimizing Azure Data Explorer (ADX) environments at scale. • Strong background in IoT, time-series data, and streaming architectures. • Hands-on familiarity with observability tools such as Datadog, Azure Monitor, Grafana, or Prometheus. • Understanding of related Azure services (Event Hubs, IoT Hub, Data Factory, Synapse, Log Analytics). • Excellent communication and advisory skills; able to collaborate effectively with both technical and leadership teams. • Prior consulting or fractional advisory experience preferred. Engagement Details • Part-time, advisory role (approx. 2-5 hours per week). • Flexible schedule; remote candidates welcome. • Focused on mid-to-late project validation and optimization, not initial architecture design.

Fast-growing AI healthcare startup is hiring a Founding Data Scientist. Seeking a true “player-coach”, offering the opportunity to shape the data science function from the ground up while remaining hands-on in analytics, modeling, and product collaboration. What You'll Do • Establish the data function: build systems, tools, best practices, and a long-term data strategy • Hands-on analytics and modeling: develop predictive and optimization models, perform ad hoc analyses, and prototype ML applications • Collaborate across teams: work closely with product, engineering, and clinical leaders to uncover trends, inform features, and drive measurable outcomes • Client-facing insights: analyze healthcare data, create dashboards, and translate findings into actionable recommendations • Leadership growth: act as a “player-coach,” mentoring future data hires as the team expands What We're Looking For • 8+ years in data science or advanced analytics • Advanced proficiency in Python and SQL • Experience with healthcare datasets (claims, EMR/EHR, • Strong statistical modeling and ML knowledge (scikit-learn, StatsModels, PyTorch) • Comfortable with ambiguity, able to own end-to-end data initiatives, and influence product/clinical decisions • Strong communication skills for cross-functional and external stakeholder engagement Tech Stack: Python, R, scikit-learn, StatsModels, PyTorch, SQL, healthcare claims + EMR/EHR data, ICD/CPT/HCPCS, BI tools

🚀 We're Hiring: Senior Data Consultant - (Supply Chain Planning) Bristlecone, a Mahindra company, is a leading supply chain and business analytics advisor, rated by Gartner as one of the top ten system integrators in the supply chain space. We have been a trusted partner to global enterprises such as Applied Materials, Exxon Mobil, Flextronics, Nestle, Unilever, Whirlpool, and many others. 🔍 Project Overview: We are looking for a strong Data Consultant to support our planning projects. The ideal candidate will have a solid understanding of planning processes and data management within a supply chain or business planning environment. While deep configuration knowledge of SAP IBP is not mandatory, the consultant must have a strong grasp of planning data, business rules, and their impact on planning outcomes. This is a strategic initiative aimed at transforming planning processes across Raw Materials, Finished Goods, and Packaging materials. You'll be the go-to expert for managing end-to-end planning data across SAP IBP and ECC systems (SD, MM, PP). 🛠️ Key Responsibilities: Collaborate with planning teams to analyze, validate, and manage data relevant to planning processes. Demonstrate a clear understanding of basic planning functionalities and how data supports them. Identify, define, and manage data elements that impact demand, supply, and inventory planning. Understand and document business rules and prerequisites related to data maintenance and planning accuracy. Coordinate data collection activities from super users and end users across multiple functions. Support data readiness for project milestones including testing, validation, and go-live. Explain how different data elements influence planning outcomes to non-technical stakeholders. Work closely with functional and technical teams to ensure data integrity and consistency across systems. Required Skills & Qualifications: Strong understanding of planning processes (demand, supply, or S&OP). Proven experience working with planning master data (e.g., product, location, BOM, resources, etc.). Ability to analyze complex datasets and identify inconsistencies or dependencies. Excellent communication and coordination skills with cross-functional teams. Exposure to SAP IBP, APO, or other advanced planning tools (preferred but not mandatory). Strong business acumen with the ability to link data quality to planning outcomes. 5-10 years of relevant experience in data management, planning, or supply chain roles. Preferred Qualifications: Experience with large-scale planning transformation or ERP implementation projects. Knowledge of data governance and data quality frameworks. Experience in working with super users/end users for data validation and readiness. Privacy Notice Declarations for California based candidates/Jobs:: ********************************************************

What You'll Do Utilize the SAP Migration Cockpit to migrate data to SAP Cloud environments for ERP implementations. Participate in data cleansing activities, including customer/supplier records, product master data, and financial data; ensure data accuracy and consistency. Collaborate with team members on ad-hoc data-related tasks to support client needs. Develop and optimize SQL scripts for data extraction, transformation, loading (ETL). Write robust, efficient, and scalable SQL code for data manipulation, reporting, and analytics across various platforms. Map data fields between source and target systems and develop data mapping documents Collaborate with SAP functional consultants to understand data structures and business processes. Perform data validation, reconciliation, and troubleshooting. Document technical specifications, data flows, and system configurations. Troubleshoot migration issues and work closely system administrators, application owners, and business users. Document all migration steps, scripts, issues, and resolutions for audit and knowledge transfer. Must Haves Bachelor's degree in STEM or a related field (or equivalent experience). Basic understanding of data migration concepts and tools (exposure to enterprise systems like SAP, Salesforce, NetSuite, Oracle is a plus). Experience or coursework in data analytics and visualization tools like Power BI. Proficiency in writing complex SQL queries. Experience in P2P, OTC, Finance, Manufacturing. Nice-to-Haves Familiarity with data integration techniques and tools. Ability to use AI tools for automation and productivity improvement.

(BCE) Benedict Canyon Equities is a private real estate investment firm with a 20-year history of delivering superior risk-adjusted returns. We specialize in acquiring and operating strategically located value-add and workforce housing properties in high-growth markets. Focused on private investors, BCE generates consistent income by implementing capital improvements, adding ancillary revenue streams, and streamlining operational inefficiencies-enhancing long-term value and increasing current cash flow. Since 2004, BCE has completed more than $57 billion in real estate transactions. Position Overview We're seeking a Transaction Analyst to join our Century City team. Reporting to the Senior Director of Transactions, this role supports all aspects of multifamily property acquisitions, refinances, and dispositions. You'll collaborate with internal departments and external partners to ensure efficient execution from underwriting through closing. This is a 5-day in-office position based in Century City. Remote or hybrid work arrangements are not available. Key Responsibilities Support all stages of the acquisition, refinance, and disposition process for multifamily assets. Conduct property-level due diligence and review financials, leases, and reports for accuracy. Prepare financial analyses, lender forms, and transaction summaries. Coordinate with brokers, lenders, attorneys, and internal teams to ensure timely closings. Identify and recommend process improvements to increase efficiency and accuracy. Qualifications Bachelor's degree in Finance, Economics, or a related field. 2+ years of experience in real estate finance, investment analysis, or transactions (multifamily preferred). Strong analytical and Excel skills; familiarity with financial modeling a plus. Excellent written and verbal communication skills. Ability to manage multiple priorities in a fast-paced, collaborative environment. Compensation and Benefits Benedict Canyon Equities offers a competitive base salary of $70K-$85K, performance-based bonus, and a comprehensive benefits package that includes: Retirement plan with company match Medical, dental, and vision coverage Flexible Spending Accounts (FSA) Long-Term Disability insurance Accidental Death & Dismemberment coverage Additional voluntary benefits and wellness programs Equal Opportunity Employer Benedict Canyon Equities is an equal opportunity employer committed to diversity and inclusion. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, or any other protected characteristic. All employment decisions are based on qualifications, merit, and business needs.

Care Specialist - Enhanced Care Management Upward Health is an in-home, multidisciplinary medical group providing 24/7 whole-person care. Our clinical team treats physical, behavioral, and social health needs when and where a patient needs help. Everyone on our team from our doctors, nurses, and Care Specialists to our HR, Technology, and Business Services staff are driven by a desire to improve the lives of our patients. We are able to treat a wide range of needs everything from addressing poorly controlled blood sugar to combatting anxiety to accessing medically tailored meals because we know that health requires care for the whole person. Its no wonder 98% of patients report being fully satisfied with Upward Health! Job Title & Role Description: The Care Specialist - ECM is responsible for coordinating care for high-complexity patients, mainly working in the field to provide chronic care coordination and support. This role involves direct outreach to patients through phone calls, home visits, and community interactions. The Care Specialist primarily works in patients' homes and communities (90% of the time) and engages in virtual or telephonic support (10% of the time) The Care Specialist will assess patient needs, help set health goals, and ensure that patients receive the appropriate care and resources, with a focus on increasing access to preventative care, reducing emergency room visits, and enhancing self-management. The role requires excellent communication skills, critical thinking, and the ability to work independently and adapt to evolving challenges. Skills Required: At least 2 years of relevant work experience as a Community Health Worker, Peer Support Specialist, Medical Assistant, or in a similar role. High school diploma or GED required. A valid drivers license and auto liability insurance. Reliable transportation and the ability to travel within assigned territory or as needed. Experience in care coordination for individuals with chronic conditions, behavioral health conditions, or with patients experiencing housing insecurities including homelessness. Strong interpersonal and motivational interviewing skills to build trust and rapport with patients. Familiarity with trauma-informed care, care coordination, and patient education. Proficiency in the use of electronic medical records (EMR) systems and basic computer skills. Technologically savvy and able to manage documentation and data entry effectively. Ability to work independently in a field-based environment and as part of a team. Multi-lingual capabilities preferred but not required. Prior home care or Enhanced Care Management experience a plus. Community Health Worker certification is a plus. Key Behaviors: Adaptability: Ability to work in dynamic, unstructured environments, pivoting quickly to meet the needs of patients and the organization. Critical Thinking & Problem Solving: Demonstrates strong problem-solving skills when assessing patient needs and determining the best course of action. Motivational Interviewing & Empathy: Uses motivational interviewing techniques to build rapport, set health goals, and empower patients to take charge of their care. Relationship Building: Skilled in establishing trust and fostering strong relationships with patients, families, and team members. Self-Starter: Takes initiative to perform outreach, complete assessments, and follow through with care coordination independently. Organizational Skills: Excellent at managing time, tasks, and schedules, ensuring that all patient needs are addressed in a timely manner. Resilience: Demonstrates resilience in challenging situations and remains focused on the goal of improving patient outcomes despite setbacks. Cultural Competence: Demonstrates sensitivity to and understanding of diverse cultural backgrounds, ensuring that care is provided in a culturally inclusive manner. Commitment to Quality Care: Shows passion for delivering high-quality care and support to patients, ensuring their well-being and satisfaction. Competencies: Care Coordination: Ability to assess patient needs, coordinate care with interdisciplinary teams, and ensure patients are receiving the appropriate services. Patient Advocacy: Supports patients by navigating healthcare systems, advocating for needed resources, and ensuring timely access to care. Health Education & Communication: Educates patients about their health conditions, treatments, and the healthcare system in a clear and empathetic manner. Data Management & Reporting: Proficient in documenting patient interactions and maintaining accurate, up-to-date records in EMR systems. Patient Outreach & Engagement: Proactively reaches out to patients through multiple communication channels, including phone, in-person visits, and community outreach. Goal Setting & Self-Management: Works with patients to develop self-care plans, emphasizing shared decision-making and increasing the patients ability to manage their own health. Collaboration & Teamwork: Works effectively as part of an interdisciplinary care team to achieve organizational goals and improve patient outcomes. Crisis Management & Flexibility: Demonstrates flexibility and adaptability in managing unforeseen challenges, providing support where it is needed most. Technical Proficiency: Skilled in using healthcare software applications and systems for accurate data entry and patient management. Upward Health is proud to be an equal opportunity employer. We are committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. This job description is a general outline of duties performed and is not to be misconstrued as encompassing all duties performed within the position. California pay range$24-$27 USD Upward Health Benefits Upward Health Core Values Upward Health YouTube Channel PI41afccb2f900-37***********0

About us: Intuitive is an innovation-led engineering company delivering business outcomes for 100's of Enterprises globally. With the reputation of being a Tiger Team & a Trusted Partner of enterprise technology leaders, we help solve the most complex Digital Transformation challenges across following Intuitive Superpowers: Modernization & Migration Application & Database Modernization Platform Engineering (IaC/EaC, DevSecOps & SRE) Cloud Native Engineering, Migration to Cloud, VMware Exit FinOps Data & AI/ML Data (Cloud Native / DataBricks / Snowflake) Machine Learning, AI/GenAI Cybersecurity Infrastructure Security Application Security Data Security AI/Model Security SDx & Digital Workspace (M365, G-suite) SDDC, SD-WAN, SDN, NetSec, Wireless/Mobility Email, Collaboration, Directory Services, Shared Files Services Intuitive Services: Professional and Advisory Services Elastic Engineering Services Managed Services Talent Acquisition & Platform Resell Services About the job: Title: Imaging Data Engineer/Architect Start Date: Immediate # of Positions: 1 Position Type: Contract/ Full-Time Location: San Francisco, CA Notes: Imaging data Engineer/architect who understands Radiology and Digital pathology, related clinical data and metadata. Hands-on experience on above technologies, and with good knowledge in the biomedical imaging, and data pipelines overall. About the Role We are seeking a highly skilled Imaging Data Engineer/Architect to join our San Francisco team as a Subject Matter Expert (SME) in radiology and digital pathology. This role will design and manage imaging data pipelines, ensuring seamless integration of clinical data and metadata to support advanced diagnostic and research applications. The ideal candidate will have deep expertise in medical imaging standards, cloud-based data architectures, and healthcare interoperability, contributing to innovative solutions that enhance patient outcomes. Responsibilities Design and implement scalable data architectures for radiology and digital pathology imaging data, including DICOM, HL7, and FHIR standards. Develop and optimize data pipelines to process and store large-scale imaging datasets (e.g., MRI, CT, histopathology slides) and associated metadata. Collaborate with clinical teams to understand radiology and pathology workflows, ensuring data solutions align with clinical needs. Ensure data integrity, security, and compliance with healthcare regulations (e.g., HIPAA, GDPR). Integrate imaging data with AI/ML models for diagnostic and predictive analytics, working closely with data scientists. Build and maintain metadata schemas to support data discoverability and interoperability across systems. Provide technical expertise to cross-functional teams, including product managers and software engineers, to drive imaging data strategy. Conduct performance tuning and optimization of imaging data storage and retrieval systems in cloud environments (e.g., AWS, Google Cloud, Azure). Document data architectures and processes, ensuring knowledge transfer to internal teams and external partners. Stay updated on emerging imaging technologies and standards, proposing innovative solutions to enhance data workflows. Qualifications Education: Bachelor's degree in computer science, Biomedical Engineering, or a related field (master's preferred). Experience: 5+ years in data engineering or architecture, with at least 3 years focused on medical imaging (radiology and/or digital pathology). Proven experience with DICOM, HL7, FHIR, and imaging metadata standards (e.g., SNOMED, LOINC). Hands-on experience with cloud platforms (AWS, Google Cloud, or Azure) for imaging data storage and processing. Technical Skills: Proficiency in programming languages (e.g., Python, Java, SQL) for data pipeline development. Expertise in ETL processes, data warehousing, and database management (e.g., Snowflake, BigQuery, PostgreSQL). Familiarity with AI/ML integration for imaging data analytics. Knowledge of containerization (e.g., Docker, Kubernetes) for deploying data solutions. Domain Knowledge: Deep understanding of radiology and digital pathology workflows, including PACS and LIS systems. Familiarity with clinical data integration and healthcare interoperability standards. Soft Skills: Strong analytical and problem-solving skills to address complex data challenges. Excellent communication skills to collaborate with clinical and technical stakeholders. Ability to work independently in a fast-paced environment, with a proactive approach to innovation. Certifications (preferred): AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or equivalent. Certifications in medical imaging (e.g., CIIP - Certified Imaging Informatics Professional).

Mercor is hiring a Data Engineer on behalf of a leading AI lab. In this role, you'll **design resilient ETL/ELT pipelines and data contracts** to ensure datasets are analytics- and ML-ready. You'll validate, enrich, and serve data with strong schema and versioning discipline, building the backbone that powers AI research and production systems. This position is ideal for candidates who love working with data pipelines, distributed processing, and ensuring data quality at scale. * * * ### **You're a great fit if you:** - Have a background in **computer science, data engineering, or information systems**. - Are proficient in **Python, pandas, and SQL**. - Have hands-on experience with **databases** like PostgreSQL or SQLite. - Understand distributed data processing with **Spark or DuckDB**. - Are experienced in orchestrating workflows with **Airflow** or similar tools. - Work comfortably with common formats like **JSON, CSV, and Parquet**. - Care about **schema design, data contracts, and version control** with Git. - Are passionate about building pipelines that enable **reliable analytics and ML workflows**. * * * ### **Primary Goal of This Role** To design, validate, and maintain scalable ETL/ELT pipelines and data contracts that produce clean, reliable, and reproducible datasets for analytics and machine learning systems. * * * ### **What You'll Do** - Build and maintain **ETL/ELT pipelines** with a focus on scalability and resilience. - Validate and enrich datasets to ensure they're **analytics- and ML-ready**. - Manage **schemas, versioning, and data contracts** to maintain consistency. - Work with **PostgreSQL/SQLite, Spark/Duck DB, and Airflow** to manage workflows. - Optimize pipelines for performance and reliability using **Python and pandas**. - Collaborate with researchers and engineers to ensure data pipelines align with product and research needs. * * * ### **Why This Role Is Exciting** - You'll create the **data backbone** that powers cutting-edge AI research and applications. - You'll work with modern **data infrastructure and orchestration tools**. - You'll ensure **reproducibility and reliability** in high-stakes data workflows. - You'll operate at the **intersection of data engineering, AI, and scalable systems**. * * * ### **Pay & Work Structure** - You'll be classified as an hourly contractor to Mercor. - Paid weekly via Stripe Connect, based on hours logged. - Part-time (20-30 hrs/week) with flexible hours-work from anywhere, on your schedule. - Weekly Bonus of **$500-$1000 USD** per 5 tasks. - Remote and flexible working style.

TL;DR Kharon is seeking a full-time Research Analyst with language proficiency in Russian based in L.A. or Washington D.C. This role requires in-office attendance 4 days a week. RESPONSIBILITIES: Update existing research while monitoring developments on sanctions issues, regulatory environments, and other national security or compliance-related matters. Identify and utilize new data and sources of information to develop subject matter expertise on strategic topics related to business intelligence research, conflict and illicit finance analysis, and banking sector risk management/compliance. Identify risk-relevant research and data typologies, demonstrating sound analytical approaches and research techniques. Demonstrate creativity, resourcefulness, and innovation while maintaining a high ethical standard in working with colleagues and leaders. QUALIFICATIONS: A Bachelor's or Master's degree in International Relations, Political Science, Security Studies, Regional Studies, History, Sociology, or a related field. Must have working reading proficiency in Russian. Experience with academic or professional research, including the use of databases and online resources, is essential. Understanding of global sanctions, international regulations, and compliance issues. High ethical standard, cultural awareness, and sensitivity to work respectfully in a diverse research environment. Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce. What does that mean? Great question. Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today's leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled. When you look at any major global crisis event, we're providing intelligence that's at the heart of those circumstances. We connect the dots in a way that's meaningful. Now, we're experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. With dotted-line leadership from the EVP of Research, the core of this position is dedicated to conducting open-source research on a variety of foreign affairs and national security issues. More specifically, you will be researching, analyzing, and interpreting data as it relates to sanctions, export controls, and criminal/illicit networks. You will be responsible for the diligent pursuit of data as it relates to ever-evolving market demand and our client inquiries. Working collaboratively with the Kharon Research team, you will contribute to the development of new datasets and update existing ones, identifying and utilizing new sources and developing subject matter expertise on the various strategic topics. Leveraging your sound analytical approach and research techniques, you will identify data typologies and conduct risk-relevant research that contributes to the health of our data intelligence and overall platform. To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we're growing at a rate that makes us unstoppable. If you're looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don't take ourselves seriously but we're serious about the work we do and there is absolutely no slowing us down. To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We're nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect: Fully sponsored medical, dental, and vision FSA program for both medical and dependent care 401k with matching and immediate vesting + ROTH IRA Paid time off + 11 paid holidays If interested in pursuing this position, please visit ************** to apply. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability. The base salary range at Kharon is set between $65,000-$75,000. Please note that this figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package.

ABI Document Support Services is seeking a highly skilled Data Engineer with proven experience in Power BI and data pipeline development. This person will ideally work onsite out of the Loma Linda, CA office Tuesday, Wednesday and Thursdays and remote Mondays and Fridays. Apply fast, check the full description by scrolling below to find out the full requirements for this role. The ideal candidate will design, build, and maintain scalable data infrastructure to support analytics and reporting needs across the organization. You'll work closely with business stakeholders and analysts to ensure data accuracy, performance, and accessibility. Design, build, and maintain ETL/ELT pipelines for structured and unstructured data from various sources. Develop and manage data models, data warehouses, and data lakes to support analytics and BI initiatives. Create and optimize Power BI dashboards and reports, ensuring accurate data representation and performance. Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions. Implement and maintain data quality, governance, and security standards. Monitor and optimize data pipeline performance, identifying bottlenecks and opportunities for improvement. Integrate data from multiple systems using tools such as Azure Synapse, Microsoft Fabric, SQL, Python, or Spark. Support data validation, troubleshooting, and root cause analysis for data inconsistencies. Document data processes, architecture, and system configurations. Required: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. 4-6 years of experience as a Data Engineer, BI Developer, or related role Strong proficiency in SQL and data modeling techniques. Hands-on experience with Power BI (DAX, Power Query, and data visualization best practices). Experience with ETL tools and data orchestration frameworks (e.g., Azure Synapse, Airflow, or SSIS). Familiarity with cloud data platforms (Azure, AWS, or GCP). Strong understanding of data warehousing concepts (e.g., star schema, snowflake schema). Preferred: Experience with Python or Scala for data processing. Knowledge of Azure Synapse, Databricks, or similar technologies. Understanding of CI/CD pipelines and version control systems (Git). Exposure to data governance and security frameworks. Soft Skills Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Detail-oriented with a focus on data accuracy and integrity. Ability to work independently and manage multiple priorities in a fast-paced environment. WHO WE ARE ABI Document Support Services is the largest nationwide provider of records retrieval, subpoena services, and document management for the legal and insurance industries. There is no other company in the market that provides the volume of successfully retrieved records or the document management solutions that ABI offers. Our singular focus is records retrieval and the most advanced technology solutions for our clients to manage, analyze and summarize those retrieved records. We are committed to continually raising the bar for cost effective record retrieval and more thorough analysis and summarization. Equal Opportunity Employer. xevrcyc All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Equal Opportunity Employer - Minorities/Females/Disabled/Veterans ABI offers a fast-paced team atmosphere with competitive benefits (medical, vision, dental), paid time off, and 401k. #LI-MB1

Macdonald & Company is partnered with a global real estate investment platform to hire an Analyst for its West Coast industrial portfolio. This position is based in Los Angeles and provides broad exposure to asset management, leasing analysis, valuations, underwriting, and portfolio strategy across a large logistics footprint. Role Summary The Analyst will support asset managers on leasing work, financial modeling, annual planning, and quarterly reporting, while also collaborating with investments, development, fund operations, and research teams. This is a strong entry-level to early-career role for someone seeking hands-on experience across the full industrial lifecycle. Key Responsibilities Support the leasing process by analyzing prospective deals, tenant economics, and financial impact. Review third-party valuations and build internal value assessments. Conduct quarterly financial reviews including rent roll analysis, operating metrics, and Argus-based cash flow forecasting. Build and maintain pro formas, underwriting models, return analyses, and sensitivity scenarios in Excel and Argus. Assist with annual budgeting, including leasing assumptions, capital planning, and expense forecasting. Provide analytical support to cross-functional teams covering investments, development, fund/portfolio operations, and research. Contribute to various initiatives that may include acquisitions, development pipeline evaluation, market studies, and portfolio reporting. Qualifications Bachelor's degree in real estate, finance, or a related field. One to two years of relevant real estate or financial analysis experience preferred. Demonstrated interest in industrial/logistics real estate. Argus proficiency required; familiarity with VTS is helpful. Advanced Excel and PowerPoint skills with strong analytical capability. High attention to detail, organization, and data accuracy. Strong communication skills and ability to work collaboratively within a team environment.

RETS Associates, on behalf of our client, a diversified real estate operation platform with expertise in high-quality, grocery anchored shipping centers and premier office assets, is seeking an Asset Management Analyst/Sr. Analyst in Santa Monica, CA. The Analyst will support the Asset Management team in maximizing property values across a national portfolio of retail shopping center and Office assets. This position provides analytical and strategic support to Market Leads, acting as a financial partner responsible for modeling, valuation, leasing analysis, and transaction support. Responsibilities: • Develop, maintain, and validate property-level financial models and cash flow projections in Excel and Argus. • Partner with Market Leads on annual budgets, forecasts, and strategic financial plans aligned with asset and company goals. • Conduct investment and portfolio analyses, including hold/sell, yield on cost, and repositioning scenarios. • Support quarterly valuation processes, coordinating with valuation teams and brokers to assess investment returns and market assumptions. • Assist with due diligence and underwriting for dispositions and financings, preparing materials for buyers, lenders, and internal stakeholders. • Prepare financial reports, memos, and presentations for leadership and investors. • Participate in site visits to understand asset positioning, market conditions, and operational performance. Qualifications: • Bachelor's degree in Real Estate, Finance, Economics, or Accounting. • 1-4 years of experience in real estate asset management, investment analysis, or related field. • Proficiency in Excel and Argus. • Strong understanding of financial modeling, valuation and return metrics. • Excellent communication, organization and time management skills. • Willingness to travel up to 15%.

About the Role Savills is seeking a Research & Strategy Analyst to join its Life Sciences Practice Group. This hybrid role blends market research, strategic insight, and business development support to empower brokers, consultants, and clients with high-impact intelligence. The ideal candidate is analytically sharp, intellectually curious, and eager to contribute across both life sciences-specific initiatives and broader commercial real estate research functions. This is a unique opportunity to work at the nexus of science, data, and strategy in one of the industry's fastest-growing sectors. Key Responsibilities Research Operations & Market Data Management Maintain and update proprietary databases tracking inventory, leasing activity, sales comparables, ownership structures, development pipelines, and tenant movements in key markets. Contribute to the production of quarterly market statistics and collaborate with national and regional teams on sector-specific reports. Ensure accuracy and consistency of data across platforms to support client-ready deliverables and leadership decision-making. Client-Focused Research & Broker Support Respond to requests for market intelligence to support broker teams and strategic pursuits. Partner with brokers and across functions to develop data-driven materials for client meetings, pitch decks, and presentations. Leverage research outputs to support marketing campaigns, graphics, and thought leadership placement tailored to client needs. Build scalable templates and tools that enhance service delivery across geographies. Life Sciences Industry Intelligence Monitor companies in the biotech, medtech, and pharmaceutical sectors-from early-stage startups to public firms-tracking funding milestones, clinical pipelines, partnerships, and expansions. Identify real estate decision inflection points (e.g., IPOs, new clinical phases, M&A activity) and align those with broker outreach and opportunity pipelines. Maintain and regularly update a curated list of strategic targets to support CRM integration and proactive client engagement. Translate complex industry developments into relevant real estate implications for internal and external audiences. CRM Strategy, Pipeline Tracking & Business Enablement Leverage Savills Salesforce environment to track target companies, contacts, and opportunities aligned with life sciences growth triggers. Maintain detailed and dynamic CRM records to reflect company stage, activity history, strategic touchpoints, and geographic expansion status. Collaborate with brokers and marketing to execute targeted outreach campaigns based on funding events, clinical milestones, and relocation trends. Develop dashboards and reports that visualize pipeline health, deal progress, and prospect engagement across key geographies. Qualifications Bachelor's degree required; advanced degree (MBA, MS, PhD) or relevant certifications preferred. 2-6 years of experience in life sciences, research, management consulting, or corporate strategy. Deep familiarity with biotech, pharma, and/or medtech industries including R&D pipelines, funding dynamics, and commercialization paths. Exceptional analytical skills with the ability to distill complex data into strategic insights. Strong written and verbal communication skills; experience writing reports or market commentary is a plus. CRM platform experience (Salesforce) is preferred. Highly organized, detail-oriented, and motivated to work in a fast-paced, entrepreneurial environment. Why Join Savills Life Sciences? Savills is a global leader in real estate advisory, with a top-tier Life Sciences team that supports clients ranging from emerging startups to global pharmaceutical companies. Our platform empowers innovation-combining data, insight, and strategy to help clients make real estate decisions that accelerate science. As part of our team, you'll help shape how we track the future of life sciences and grow our presence in the most exciting markets in North America and beyond. Savills values a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetic information, disability, age, veteran status, or any other protected characteristic. Savills participates in the E-Verify program.

Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're expanding our data science organization to accelerate customer success after the initial sale-driving onboarding, retention, expansion, and long-term revenue growth. About the Role As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention. Key Responsibilities Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring. Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion. Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn. Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals. Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams. Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions. About You Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment. Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring. Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy. Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders. Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

Mercor is hiring a Data Engineer on behalf of a leading AI lab. In this role, you'll **design resilient ETL/ELT pipelines and data contracts** to ensure datasets are analytics- and ML-ready. You'll validate, enrich, and serve data with strong schema and versioning discipline, building the backbone that powers AI research and production systems. This position is ideal for candidates who love working with data pipelines, distributed processing, and ensuring data quality at scale. * * * ### **You're a great fit if you:** - Have a background in **computer science, data engineering, or information systems**. - Are proficient in **Python, pandas, and SQL**. - Have hands-on experience with **databases** like PostgreSQL or SQLite. - Understand distributed data processing with **Spark or DuckDB**. - Are experienced in orchestrating workflows with **Airflow** or similar tools. - Work comfortably with common formats like **JSON, CSV, and Parquet**. - Care about **schema design, data contracts, and version control** with Git. - Are passionate about building pipelines that enable **reliable analytics and ML workflows**. * * * ### **Primary Goal of This Role** To design, validate, and maintain scalable ETL/ELT pipelines and data contracts that produce clean, reliable, and reproducible datasets for analytics and machine learning systems. * * * ### **What You'll Do** - Build and maintain **ETL/ELT pipelines** with a focus on scalability and resilience. - Validate and enrich datasets to ensure they're **analytics- and ML-ready**. - Manage **schemas, versioning, and data contracts** to maintain consistency. - Work with **PostgreSQL/SQLite, Spark/Duck DB, and Airflow** to manage workflows. - Optimize pipelines for performance and reliability using **Python and pandas**. - Collaborate with researchers and engineers to ensure data pipelines align with product and research needs. * * * ### **Why This Role Is Exciting** - You'll create the **data backbone** that powers cutting-edge AI research and applications. - You'll work with modern **data infrastructure and orchestration tools**. - You'll ensure **reproducibility and reliability** in high-stakes data workflows. - You'll operate at the **intersection of data engineering, AI, and scalable systems**. * * * ### **Pay & Work Structure** - You'll be classified as an hourly contractor to Mercor. - Paid weekly via Stripe Connect, based on hours logged. - Part-time (20-30 hrs/week) with flexible hours-work from anywhere, on your schedule. - Weekly Bonus of **$500-$1000 USD** per 5 tasks. - Remote and flexible working style.