Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

STV is seeking a Project Coordinator - Data Centers, Mission Critical to join the Construction Management team in New Albany, OH. Responsibilities will include: Provide primary Project Coordination, Executive and Administrative support to the Office Manager and other Business Leaders Perform complex calendar management – both internal and external coordination & scheduling with all levels of the company Prepare all aspects of travel support, including booking flights, hotels, car rentals and expense report reimbursement Prepare, review, and manage correspondence, memoranda, presentations, and various staff communications Independently researches, collects, and prepares information for use in discussions/meetings of executive staff and external individuals Prepares presentation materials for meetings Project Management responsibilities – responsible for ad-hoc projects and special projects as needed. Analyzes problems, determines approach, compiles and analyzes data, and prepares reports/recommendations. Contacts company personnel at all organizational levels to gather information and prepare reports. Assist with maintaining individual state licensure renewal or initial licensure for selected managers Work collaboratively with other administrative team members Requirements: Bachelor's degree or higher required or equivalent experience Must be proficient in all MS OFFICE 365 Products and Applications: including Word, Power Point, Excel, TEAMS, Outlook and others. Must be willing to learn new applications as needed. Exposure to / working knowledge of CAD Software is a plus Must be a hard worker, able to work in a fast-paced environment with a positive attitude Accuracy and efficiency are extremely important in this position Must be able to work without direction, anticipate the needs of project managers, proactively solve problems and otherwise contribute to the success of the organization. Knowledge of the A/E/C industry is helpful particularly when it comes to understanding terminology Compensation Range: $58,422.14 - $77,896.19 Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At STV, we are fully committed to expanding our culture of diversity and inclusion, one that will reflect the clients we serve and the communities we work in, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description we encourage you to apply anyways. You may be just the right candidate for this or other roles. STV offers the following benefits • Health insurance, including an option with a Health Savings Account • Dental insurance • Vision insurance • Flexible Spending Accounts (Healthcare, Dependent Care and Transit and Parking where applicable) • Disability insurance • Life Insurance and Accidental Death & Dismemberment • 401(k) Plan • Retirement Counseling • Employee Assistance Program • Paid Time Off (16 days) • Paid Holidays (8 days) • Back-Up Dependent Care (up to 10 days per year) • Parental Leave (up to 80 hours) • Continuing Education Program • Professional Licensure and Society Memberships STV is committed to paying all of its employees in a fair, equitable, and transparent manner. The listed pay range is STV’s good-faith salary estimate for this position. Please note that the final salary offered for this position may be outside of this published range based on many factors, including but not limited to geography, education, experience, and/or certifications.

About Baselayer Trusted by 2,200+ financial institutions, Baselayer is the intelligent business identity platform that helps verify any business, automate KYB, and monitor real-time risk. Baselayer’s B2B risk solutions and identity graph network leverage state and federal government filings and proprietary data sources to prevent fraud, accelerate onboarding, and lower credit losses. About the Role We are looking for a Data Engineer to build and scale Baselayer’s data infrastructure. You will own the pipelines and data systems that power analytics, reporting, and machine learning across the company, with a focus on reliability, performance, and data quality. This role is hands-on and highly cross-functional. You will work closely with Product and Engineering to ensure data is accessible, trusted, and delivered in a way that supports product capabilities in a regulated environment. What You’ll Do Design, build, and maintain scalable data pipelines that ingest, clean, validate, and transform data from internal systems and external sources Own data reliability and quality through monitoring, alerting, lineage, and validation frameworks Build and maintain data models and curated datasets that support analytics, dashboards, customer reporting, and downstream ML use cases Partner with Engineering to define best practices for data architecture, storage, access controls, and performance Implement orchestration and scheduling for batch and near-real-time workflows as needed Optimize pipeline performance, cost, and scalability as data volumes grow Develop and maintain documentation and runbooks for pipelines, datasets, and operational procedures Identify data gaps and instrumentation needs, and work with engineering teams to improve event capture and logging About You You want to learn fast, take ownership, and do work that matters. You are not just doing this for the win. You are doing it because you have something to prove and want to be great. You thrive in the details, care about correctness, and take pride in building robust systems that other teams can rely on. You operate with urgency, handle ambiguity well, and consistently raise the bar on data quality and reliability. Required Experience and Skills 1 to 3 years of experience in data engineering, analytics engineering, or backend engineering with significant data pipeline ownership Strong Python skills and experience building production-grade data workflows Strong SQL skills with experience designing data models and transforming large datasets Experience building and maintaining ETL or ELT pipelines and working with data warehouses or analytics databases Familiarity with orchestration tools and workflow scheduling (for example Airflow, Dagster, Prefect, or similar) Strong understanding of data quality, testing, observability, and operational best practices Comfort working with large-scale datasets and troubleshooting performance issues Ability to communicate clearly with technical and non-technical stakeholders What Sets You Apart Experience working with identity, fraud, risk, compliance, or other regulated datasets Experience integrating with external data sources, APIs, and government or registry data Familiarity with streaming or near-real-time data patterns Highly feedback-oriented with a desire for continuous improvement Work Location Hybrid in SF, in office 3 days per week Compensation and Benefits Salary range of $122,000 to $167,000 Equity package Unlimited vacation Comprehensive health coverage 401(k) with company match

About the Company Our client is a profitable, high-growth Enterprise SaaS leader revolutionizing the data privacy and security space. Their patented Hybrid AI-powered Data Governance platform is trusted by Fortune 1000 companies to navigate global regulations like GDPR and CCPA. With over a decade of innovation, strong market validation, and a loyal customer base, they are positioned for rapid scale in a market growing 40%+ annually. They stand out for their sales-first culture, offering true autonomy, no micromanagement, and no territory limits. Their platform solves high-stakes privacy challenges while unlocking new revenue streams, making this an ideal home for ambitious sales professionals. Office Location: Tysons, VA (hybrid 2-3 days per week), (company-paid relocation available) Product: AI-powered privacy compliance and data governance platform Target Market: Mid-Market and Large Enterprises Our client'smission is to contribute to a better society by advocating for proper data protection legislation, responsibly safeguarding customer data, preserving individual privacy rights, and enhancing trust between businesses and consumers through greater transparency. The Opportunity Join a collaborative company in the rapidly growing data privacy/AI space as an Account Executive . You'll be selling cutting-edge technology that prospects actually need, with massive market demand driven by increasing privacy regulations. With average deals exceeding $100,000 ARR and an uncapped commission structure, top performers regularly outpace their OTE targets. If you're looking to accelerate your tech sales career while selling solutions that make a genuine difference, this role offers tremendous upside potential. What You'll Do Consistently meet and exceed sales targets Hunt and close new business opportunities with Mid-Market and Enterprise companies Own the full sales cycle - from prospecting to closing six-figure deals Deliver compelling demos and presentations to C-suite executives (especially CIOs, CISOs) Craft persuasive proposals that articulate clear value propositions Negotiate contracts and navigate multi-stakeholder buying processes Collaborate with BDRs to build a robust pipeline Maintain accurate records in CRM and provide regular pipeline updates What You Bring Proven track record of success in full-cycle B2B SaaS sales (2+ years minimum) Consistent history of meeting or exceeding sales quotas Experience selling to C-suite executives at Fortune 1000 enterprises (preferably CIOs, CISOs) Active professional presence on LinkedIn and the ability to prospect and generate opportunities Technical aptitude and interest in data privacy/security (knowledge of GDPR, CCPA is a plus) Strong presentation, communication, and negotiation skills Bachelor's degree or higher Ability to work from the Tysons, VA office three days per week (company-paid relocation available) Key Success Drivers Self-starter mentality paired with self-discipline High ethical standards that build trust with prospects and teammates Why Join? $200,000–$260,000+ OTE with 50/50 split (uncapped commission, $350,000-$400,000 is achievable) $300,000 commission on top of base salary for closing $3M in new business 100% paid medical, dental, and vision for employees and families(gold plan with zero out-of-pocket) Life insurance fully covered 401(k) with company match 2 weeks of paid vacation Generous President's Club awards with incentives for top performers Tuition reimbursement and career growth opportunities (Regional Sales Director or Strategic Account Executive in 18 months) Proven product-market fit with Fortune 100 and Fortune 500 customers Corporate events, trips, dinners, and celebrations Supportive and collaborative company culture Well-funded company with stable backing and clear growth trajectory Patented Hybrid AI technology with clear competitive differentiation Rapidly growing market: Privacy management expected to be critical for 93%+ of enterprises Work on a meaningful mission: protecting privacy rights and building consumer trust Interviewing Process HR Screening Level 1: Phone interview with the Hiring Manager (exploring sales approach and experience) Level 2: On-site interview (skills assessment and team meetings) Reference and background checks Job Offer: provided to the selected candidate We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.

Are you passionate about data analytics and eager to work on large-scale projects? Fingerprint is looking for a Data Analyst to join our Identification Team. You will play a crucial role in providing high-quality tools for deep data analytics over our Identification API Product, which processes approximately 1 billion requests per month. Responsibilities: Develop tools for data analytics on the Identification API Product. Design, build, and maintain dashboards and reports that support Customer Success and the Sales Engineering organizations Drive internal adoption of self-service dashboards and help teams interpret the data for decision making Provide insights about Identification accuracy, detect anomalies, and analyze trends in time-series data. Foster an engineering-focused, data-driven culture within the Fingerprint team by sharing tools and knowledge on effective data analytics approaches. This role includes participation in a shared on-call rotation. The schedule will be communicated in advance, and we strive to balance coverage equitably while minimizing off-hours disruptions. Qualifications: Proficiency in English for clear communication within an international remote team. BS/MS in Computer Science or a related field, or equivalent work experience. 3+ years of experience in Data Analytics, Analytics Engineering, or Data Science. Proficient SQL skills Strong foundation in statistics for designing metrics and experiments. Practical experience with analytical storage solutions such as Clickhouse, Snowflake, BigQuery, Redshift, Databricks, etc. Strong coding skills with clean, maintainable code; experience with version control (Git) and collaborative development practices Experience building dashboards and using data visualization tools like Apache Superset, Tableau, Metabase, Looker, etc. Comfortable conducting ad-hoc analysis and presenting findings to cross-functional teams Demonstrated experience supporting internal teams by managing and resolving data and reporting requests Excellent communication skills and the ability to present complex data clearly to non-technical audiences Nice to Haves: Familiarity with data transformation frameworks and approaches (e.g., dbt, materialized views, data pipeline tools). Proficiency with the Python data analytics stack (Numpy, pandas, Jupyter, etc.). Understanding of fundamental ML concepts, familiarity with model evaluation metrics Technologies: Our stack: Clickhouse, DBT, Apache Superset (Preset), Prefect Relevant technologies: Google BigQuery, Amazon Redshift, Snowflake, Apache Druid, Vertica, DataBricks, Apache Airflow, Dataform, Talend, Fivetran, Stitch, Luigi, Dagster, Tableau, Power BI, Looker, Metabase, Redash Compensation Range For US-based employees , the cash compensation range for this role is $100,000 – $160,000 . We set standard ranges for all US roles based on function, level, and geographic location, benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency, we share salary ranges on all job postings. However, these ranges are specific to the hiring location and may differ within or outside the US. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the @fingerprint.com domain. Any outreach claiming to be from Fingerprint via other sources should be ignored. Role requires proficiency with macOS and comfort working fully remotely using tools such as Slack, Google Workspace, and Zoom.

Scientific Games: Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward. Position Summary This role oversees the operational performance and technical delivery of all online software, file systems, and database applications supporting the Core Gaming Solution. In addition, this position provides leadership and direction to the local Operations team and is accountable for delivering consistent operational excellence to the lottery. This position reports directly to the General Manager. Monitor and ensure the performance, availability, and integrity of all online systems; identify, document, and escalate anomalies or incidents to management, corporate, and operations support teams as required. Serve as first-tier incident owner, coordinating and managing all necessary internal and external support resources through resolution. Provide leadership, direction, and ongoing feedback to the Systems Support team, ensuring effective execution and continuous improvement. Act as the primary liaison between Operations, Tech Ops, and Corporate Software Development to ensure test and production environments remain aligned and perform optimally. Oversee and manage user acceptance testing (UAT), system testing, and validation of new or enhanced software solutions. Plan, coordinate, and manage the testing, scheduling, and deployment of software releases into the production environment, following approved change management practices. Define and document requirements for software enhancements and corrections, working closely with Corporate Software Development teams. Maintain and manage software change requests using established tools and processes (e.g., RFC process, ClearQuest or equivalent systems). Ensure all operational activities, projects, and deliverables are completed on time and in compliance with contractual and regulatory requirements. Develop, maintain, and enforce operational procedures, standards, and documentation to support system reliability and consistency. Communicate system status, incidents, and operational reporting to the Lottery as required. Provide hands-on operational support as needed, including coverage for system support, testing, processing, or staffing gaps. Collaborate effectively with all levels of management and communicate technical and operational issues clearly and efficiently. Maintain flexibility in work schedule to support operational needs, incident response, and system events. Perform additional duties as assigned to support the overall success and reliability of the Operations Department. Qualifications Education Bachelor’s degree in computer science and/or 10 years of related work experience. Experience and qualification On Call 24/7 for Operational support Bachelor’s Degree in Computer Science, IT or related fields Excellent organizational and interpersonal skills Preferred experience using UNIX, LINUX, Windows Servers, and SQL Server and Crystal Reports Required to maintain company and customer confidentiality Ability to develop and maintain positive working relationships Ability to communicate with all levels of management Must have above-average organizational and interpersonal skills Ability to work in a team environment Intermediate computer software and hardware technologies (i.e., Microsoft Office Products) Ability to quickly learn and understand new technologies Strong time management skills Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, stand, walk, bend, use hands, operate a computer, and have specific vision abilities to include close and distance vision, and ability to adjust focus working with computer and business equipment. Work Conditions Scientific Games, LLC and its affiliates (collectively, “SG”) are engaged in highly regulated gaming and lottery businesses. As a result, certain SG employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts. In order to ensure SG complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, SG requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with SG (to the extent permitted by law), you shall be asked to consent to SG conducting a due diligence/background investigation on you.This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above. SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster .

Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The company’s R&D pipeline comprises RAS(ON) Inhibitors designed to suppress diverse oncogenic variants of RAS proteins, and RAS Companion Inhibitors for use in combination treatment strategies. As a new member of the Revolution Medicines team, you will join other outstanding Revolutionaries in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway. The Opportunity: The Senior Director, Real-World Data & Analytics will work with the Executive Director, Head of Epidemiology and VP of HEOR to establish the RWD&A group at RevMed, scaling organizational capabilities and leading the strategy and execution of key RWD&A deliverables for RevMed assets. They will be accountable for working across the clinical development, safety, medical affairs, commercial including analytics and insights, and IT matrix, developing strategies and leading and/or overseeing execution of key projects. Reporting to the Executive Director, Head of Epidemiology & RWD Strategy, they will closely align with the other users of RWD at RevMed, develop ways of working and communication channels to maximize RevMed’s investment in RWD as well as lead the analysis (either directly or leveraging junior team members and vendors) of RWD database and other studies. This is an exceptional opportunity to contribute to the advancement of oncology by leveraging real-world data and analytics that will shape the future of patient care. Develop and lead RWD and analytics plans to support portfolio, Medical Affairs, HEOR/RWE, and epidemiology goals. Provide subject matter expertise on RWD data sources, their strengths/limitations, and the feasibility of answering key scientific questions using available data. Oversee high-quality RWE study design, protocol development, statistical analysis planning, and final reporting in support of regulatory submissions and product value evidence – typical projects include include systematic literature reviews, natural history studies, clinical trial design and optimization, comparative effectiveness and safety, and healthcare resource utilization types of studies, post-approval safety studies leveraging RWD, as well as RWD-related insights such as quick feasibility and information used to inform our fast-moving clinical programs. Ensure fit-for-purpose methods are used to provide scientific rigor to non-interventional studies so that they adhere to global regulatory guidance frameworks and are acceptable to other key stakeholders. Provide thought leadership in advanced analytic techniques (e.g., causal inference, predictive modeling, AI/ML) that reflect current industry practices. Communicate insights and analysis effectively to senior stakeholders, regulatory agencies, payers, and scientific audiences through written reports and presentations. Participate in governance, feasibility review, and multidisciplinary project teams, ensuring RWD analytics add meaningful insight at key decision points. Build, mentor, and lead a high-performing analytics team with expertise in epidemiology, biostatistics, data science, and RWE methodologies. Drive adoption of robust analytics standards and tools that enhance consistency and scalability of RWD efforts across projects including partnership with other functions to establish data ingestion pipelines, and support the establishment of data lakes. Required Skills, Experience and Education: PhD / DSc / DrPH in epidemiology or biostatistics, or a relevant advanced science degree and at least 12 years of experience with RWD analytics and evidence generation in pharma/biotech. Demonstrated experience leading complex RWD/RWE projects from concept through delivery, including study design, analysis, and reporting/submission to regulatory agencies. Strong expertise with RWD sources (claims, EHR, registries, -omics data, linked datasets) and analytic tools (R/SAS/Python). Demonstrated technical knowledge of epidemiologic, biostatistical, and data science methods. Knowledge of drug and clinical development process for genomic/targeted medicines. Excellent analytic and problem-solving skills. Strong interpersonal skills and the ability to work effectively in multidisciplinary teams, including ability to provide oversight to vendors. Preferred Skills: Experience in oncology RWD&A. Track record of publications or presentations in RWD&A/epidemiology/data science. Experience aligning RWE strategy to regulatory and payer evidence planning, especially around the planning and execution of post-approval safety studies. #LI-Remote #LI-VN1 The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training. Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities. Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status. Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and . For additional information, please contact privacy@revmed.com . Base Pay Salary Range $244,000 — $305,000 USD

Job Summary:The Senior Data Engineer will be responsible for building and maintaining the data infrastructure that powers the organization's data-driven decision-making. Designs, develops, and maintains data pipelines, data warehouses, and other data-related infrastructure. This role expects to work closely with data scientists, analysts, and other stakeholders to understand their data needs and translate them into robust and scalable solutions.Key Responsibilities:Build, maintain, and optimize data pipelines, including ELT processes, data models, reports, and dashboards to drive business insights.Develop and implement data solutions for enterprise data warehouses and business intelligence (BI) initiatives.Continuously monitor and optimize data pipelines for performance, reliability, and cost-effectiveness. This includes identifying bottlenecks, tuning queries, and scaling infrastructure as needed.Automate data ingestion, processing, and validation tasks to ensure data quality and consistency.Implement data governance policies and procedures to ensure data quality, consistency, and compliance with relevant regulations.Contribute to the development of the organization's overall data strategy.Conduct code reviews and contribute to the establishment of coding standards and best practices.Required Qualifications:Bachelor's degree in a relevant field or equivalent professional experience.4-6 years of hands-on experience in data engineering.Strong expertise in SQL and NoSQL databases, including PostgreSQL, DynamoDB, and MongoDB.Experience working with cloud platforms such as GCP, Azure, or AWS and their associated data services.Practical knowledge of data warehouses like BigQuery, Snowflake, and Redshift.Programming skills in Python or JavaScript.Proficiency with BI tools such as Sisense, Power BI, or Tableau.Preferred Qualifications:Direct experience with Google Cloud Platform (GCP).Knowledge of CI/CD pipelines, including tools like Docker and Terraform.Background in the healthcare industry.Familiarity with modern data integration tools such as DBT, Matillion, and Airbyte. Compensation: $125,000.00 per year Who We Are CARE ITS is a certified Woman-owned and operated minority company (certified as WMBE). At CARE ITS, we are the World Class IT Professionals, helping clients achieve their goals. Care ITS was established in 2010. Since then we have successfully executed several projects with our expert team of professionals with more than 20 years of experience each. We are globally operated with our Head Quarters in Plainsboro, NJ, with focused specialization in Salesforce, Guidewire and AWS. We provide expert solutions to our customers in various business domains.

Benefits: 401(k) 401(k) matching Competitive salary Dental insurance Health insurance Opportunity for advancement Paid time off Vision insurance MANAGER OF DATA AND EVALUATION JOB DESCRIPTION Organizational Mission: Esperanza Community Housing Corporation is a social justice non-profit in South Central Los Angeles that achieves long-term, comprehensive community development. We recognize that Indigenous, Black, Latino, and immigrant communities are disproportionately impacted by historical oppression, health disparities, disinvestment, and displacement. Therefore, we develop and preserve affordable housing; elevate health equity and access to care; mobilize for environmental justice; create and protect local economic opportunities; expand engagement in arts and culture; and advocate for policies protecting human rights. Esperanza works collaboratively to strengthen South Los Angeles. In all of our actions, Esperanza builds hope with the community. Position Purpose : The Manager of Data and Evaluation will ensure the integrity, accuracy, and relevance of Esperanza’s organizational and programmatic data, in order to improve our mission and outcomes. The responsibilities include providing data management and data analysis, which is crucial to assess organizational outcomes, formulating data-driven insights, and ensuring timely and accurate program reporting. Key Responsibilities: Organizational Leadership Participate in quality assurance and improvement activities within the organization, continuously seeking ways to improve data collection and analysis processes through various departments and projects. Support directors or program managers in writing grant reports, ensuring that all data is accurate, relevant, and presented in a clear, understandable manner. Participate in Technology Infrastructure Committee for data security, HIPAA compliance and other related tasks. Support fundraising efforts by providing organizational and/or program data to effectively demonstrate impact. Coordinate and collaborate with management teams across various departments, programs and committees. Data and Evaluation Management Supervise and guide the Esperanza’s data management process, including collection, validation, storage, protection, and retrieval. Oversee staff involved in various projects who support data entry and related research and evaluation tasks. Serve as the liaison to community partners for data and evaluation matters, ensuring that all requirements and regulations are met and attending partner data meetings as needed. Oversee the creation, review, and triage of lists detailing community members who need engagement. Ensure accuracy and consistency in data entry and management across different platforms and systems. Lead and coordinate efforts for program evaluation, ensuring that metrics and key performance indicators are relevant, realistic, and aligned with program objectives. Program Collaborative Leadership Collaborate with Directors, Managers and staff to determine and implement best practices for data collection, protection and analysis. Work closely with community health workers to communicate data requirements and gather necessary information. Coordinate special community events and health assessments, ensuring that data from these events are accurately and promptly recorded. All other duties as assigned by Supervisor. Supervisor: Associate Director Requirements: Education: Bachelor’s degree in Public Health, Public Policy, Epidemiology, Public Health Statistics, or a related field (or equivalent combination of education, training and experience). A minimum of 3-5 years experience managing and evaluating data of grant-funded public health or social service programs in underserved communities. A minimum of 1 year evaluating community engagement. Comprehensive understanding of data management processes, including data collection and cleaning, survey/questionnaire design, program outcomes tracking, and reporting outcomes. Demonstrated leadership capabilities, preferably in a non-profit or community-based setting. Detail-oriented mindset with a strong focus on accuracy and consistency. Proficiency in MS Office, MS SharePoint, MS Teams, Zoom, Google Suite, and electronic medical records and statistical analysis software. Familiarity with Salesforce or similar data management platform is a plus. Excellent interpersonal, verbal, and written communication skills. Knowledge of data HIPAA regulations and ability to apply them in daily operations. Familiarity with medical terminology preferred. Bilingual (English/Spanish) skills preferred. Compensation: The Manager of Data and Evaluation is a full-time, exempt position with an annual salary range of $70-80k. Salary is based on qualifications and experience. Esperanza Community Housing offers comprehensive benefits that include: 100% medical and dental, cash in lieu of medical and dental, unemployment, 401K with matching, group life, accidental death, long-term disability, and holiday/vacation/sick leave pay. To Apply: Please submit a resume, cover letter and three professional references to hr@esperanzacommunityhousing.org with a subject line: Manager of Data and Evaluation . Esperanza Community Housing is an affirmative action, equal opportunity employer and encourages applications from all qualified candidates regardless of race, color, ethnicity, age, gender, sexual orientation, marital or parental status, religion, disability, or any other status protected by laws or regulations. We work to ensure fair treatment of applicants and employees and actively enforce zero tolerance policies against discrimination and harassment. Compensation: $70,000.00 - $80,000.00 per year Esperanza Community Housing Corporation is a social justice non-profit in South Central Los Angeles that achieves long-term, comprehensive community development. We recognize that Indigenous, Black, and Latino immigrant communities are disproportionately impacted by historical oppression, health disparities, disinvestment and displacement. Therefore, we develop and preserve affordable housing; elevate health equity and access to care; mobilize for environmental justice; create and protect local economic opportunities; expand engagement in arts and culture; and advocate for policies protecting human rights. Esperanza works collaboratively to strengthen South Los Angeles. In all of our actions, Esperanza builds hope with the community.

About the Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior Python Full-Stack Engineer — AI Data & Infrastructure Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities - Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control - Improve reliability, performance, and safety across existing Python codebases - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes - Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have - Native or fluent English speaker - Full-stack developer experience with a strong systems programming background - 5+ years of professional experience writing production Python - Strong background in performance optimization and concurrency (e.g., asyncio, multiprocessing, threading) and type safety (e.g., Pydantic, mypy) - Experience building robust backend services (using frameworks like FastAPI or Django) or scalable data pipelines - Clear written and verbal communication skills - Ability to commit 20–40 hours per week Preferred - Prior experience with data annotation , data quality, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking pipelines - Experience with distributed systems or developer tooling Application Process - Submit your resume - Complete a short technical screening - Project matching and onboarding $50 - $75 an hour

Who are we? Mission Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors, we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published venture beat article . Team As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios. What are we looking for? We're in search of a Senior Generative AI Engineer who brings deep expertise in building and deploying large language models and AI systems at scale. This role is for those with extensive experience in developing production-grade AI solutions, particularly in the realm of generative AI and language models. The ideal candidate will play a crucial role in advancing our AI capabilities, designing intelligent agent architectures, and implementing sophisticated RAG pipelines that power our products used by thousands of data teams worldwide. Professional Experience: 5+ years of hands-on ML/AI experience with at least 1 year of hands-on experience in GenAI/LLM projects Track record of successfully deploying ML/AI systems in production environments Experience working with enterprise customers and understanding their unique requirements Technical Skills Required: Strong programming skills in Python, including expertise in ML stack (Hugging Face, NumPy, Pandas, scikit-learn) Production experience with deep learning frameworks (PyTorch/Tensorflow) and transformer architectures API development expertise (FastAPI) and production deployment experience Proven experience with prompt engineering best practices and LLM evaluation metrics Technical Skills Preferred: Infrastructure & Deployment Experience with vector databases (e.g., Pinecone, Weaviate) and RAG pipelines Experience with observability and monitoring of LLM applications Proficiency in model compression, distillation, and deployment at scale Model Development & LLMs Expertise in semantic search and embedding models Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems Advanced model fine-tuning techniques, including LoRA, Prompt Tuning, and Adapter Training Why you should join Altimate AI? Projects You'll Work On: Advanced AI Agent Architecture : Design and implement sophisticated multi-agent systems that can understand context, make decisions, and enable seamless collaboration between AI and human data professionals. Large-Scale RAG Systems : Build and optimize retrieval-augmented generation pipelines that can efficiently process and utilize enterprise-scale knowledge bases. Model Optimization & Deployment : Implement advanced techniques (LoRA, Prompt Tuning) to adapt off-the-shelf models for specific enterprise data tasks, ensuring faster, more accurate performance. Scalable AI Infrastructure: Develop and optimize cloud-native architectures (AWS, Kubernetes) for large-scale training, inference, and multi-agent orchestration. Enterprise Security & Compliance : Implement robust security measures for LLM applications, including data anonymization, prompt injection prevention, and compliance with enterprise security standards. Impact : Innovation Leadership : Shape the future of enterprise AI by developing novel approaches to autonomous data operations and AI-driven automation. Product Development : Direct influence on our flagship products, DataPilot and DataMates, working on cutting-edge features that define the next generation of AI-powered data tools. Team Growth : Help build and mentor a growing team of AI engineers, shaping our technical culture and practices. Open Source Contribution : Lead and contribute to our open-source initiatives, establishing yourself as a thought leader in the AI community. Technical Growth : Opportunity to work with the latest advancements in AI technology and shape the architecture of next-generation AI systems. What We Offer Competitive salary and equity Base Salary Range: $185,000 - $250,000 [influenced by your expertise, how the interview goes, and how well you match the role] Equity: 0.05% - 0.5% Access to cutting-edge AI infrastructure and resources Team offsite and opportunities to attend and present at leading industry conferences (across the world) Learning budget for AI courses, books, and computing resources Dynamic and intellectually stimulating work environment with a team of talented engineers Opportunities to shape the direction of the company and leave a lasting impact

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Legal Data Services Manager - REMOTE. In this role, you will drive strategic and operational excellence across all data quality initiatives within the organization. You will oversee a dedicated team, focusing on enhancing data quality programs, integrating advanced technologies, and improving productivity. This position requires collaboration with various stakeholders, promoting innovative solutions within the legal sector. As a leader, you will emphasize business development and the application of CRM systems to foster growth and ensure exceptional client outcomes. Accountabilities Develop and implement a comprehensive data quality strategy that aligns with business objectives and client needs. Provide visionary leadership to the Data Quality Services team, promoting cross-functional collaboration. Manage day-to-day operations of the Data Quality Services team for timely program delivery. Collaborate with internal teams and external stakeholders to optimize resources and client outcomes. Develop and monitor data quality standards, ensuring accuracy and reliability. Oversee deployment of advanced data quality tools and technologies. Serve as the primary client contact for data quality initiatives. Facilitate client workshops and training sessions to share insights and recommendations. Identify and pursue new business opportunities within the legal sector. Design marketing materials that articulate the value of data quality services. Champion the adoption of generative AI tools to enhance processes. Collaborate on the design of campaigns to expand market presence. Design and manage data quality assurance processes. Monitor trends and assess service efficacy through comprehensive metrics. Foster an innovative environment by identifying process improvements. Requirements Bachelor’s degree in Data Science, Computer Science, Information Systems, or related field. Minimum of 7 years of experience in data quality management or related area. Proven leadership experience in data quality or data services teams. Proficiency with data quality tools and data integration solutions. Strong command of SQL; familiarity with programming languages is a plus. Experience with CRM systems and their application in business. Excellent analytical skills to transform complex data into actionable insights. Strong business acumen with experience in business development. Exceptional communication skills for diverse audiences. Benefits Promote a healthy work/life balance with numerous well-being initiatives. Shared parental leave and sabbaticals for long-term employee support. Study assistance and professional development opportunities. Eligible for an annual incentive bonus. Country-specific benefits tailored to enhance employee satisfaction. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About David Energy David Energy is creating a new kind of power company. Traditional Retail Electricity Providers (REPs) are outdated, opaque, and painful for customers to engage with. We use software to monitor our customers' real-time energy usage, and we aggregate and analyze that data to maximize the value they get from their energy assets – batteries, EVs, HVAC systems and other distributed energy resources (DERs) via participation in energy markets. Our mission is to run the grid on clean energy 24/7. We are looking for a senior data scientist to own analyses and data analytics around our growing network of energy assets in concert with real-time energy markets. By shifting the energy usage of our customers to align with the cheapest and cleanest wholesale energy available, we can offer dramatically lower rates with much cleaner energy. Making those decisions automatically at scale requires excellent data science. In this role, you will Solve complex business problems (e.g., cost allocation, error detection, data imputation) to deliver insights that advance business initiatives Own and evolve our data ecosystem (Snowflake + dbt) and ensure data is accurate and well-structured Work with cross-functional teams to identify data needs, define metrics, and establish reporting frameworks Contribute to the strategic planning process by presenting findings and recommendations to stakeholders across the company Identify opportunities for process improvements and lead initiatives to increase operational accuracy and efficiency Design and establish a company culture of rigorous, data-informed decision making We invite you to apply for this role if you have Clear communication skills with people at all levels of technical ability 5+ years of work experience delivering data analytics and analyses with demonstrated impact Fluency in SQL Ability to deliver in an early-stage startup environment (e.g., proactive ownership, independence in uncertainty) You could be an especially great fit if you have Bachelor’s in a quantitative field (e.g., physics, statistics, mathematics, economics) Experience with dbt Experience with Python Experience in energy trading, grid operations, or deregulated energy markets (namely, ERCOT, ISO-NE, NYISO, or PJM) Benefits: $160,000 plus equity, depending on experience Group medical and dental insurance Flexible vacation/PTO policy 401(k) plan Hybrid office culture, with team members remote and working from our offices in New York City

At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit h1.co to learn more about us. Data Engineering is responsible for the development and delivery of our most important asset, our data. Across thousands of data sources globally, the team ensures that only accurate, normalized data flows to our customers, at the speed required to match real-world changes. As we expand the markets we serve and increase the breadth and depth of data we capture, we need senior technical leaders who can drive execution, scalability, and architectural excellence. WHAT YOU'LL DO AT H1 As a Staff Data Engineer on the Real World Evidence (RWE) team, you’ll be one of the most senior individual contributors and a key technical leader for our largest datasets and pipelines. You’ll drive some of H1’s most visible data initiatives and help reduce bottlenecks across teams, providing critical technical leadership support during US hours. You will: - Act as a self-starter who drives execution independently, taking ownership and initiative with minimal need for day-to-day direction. - Lead high-visibility RWE projects, starting with claims data, and keep multiple initiatives moving by proactively unblocking teams. - Own the end-to-end architecture for critical data assets, ensuring solutions are scalable, reliable, and aligned with H1’s long-term vision. - Design, build, and optimize large-scale data pipelines (hundreds of TBs) for performance, reliability, and cost efficiency. - Partner with Product, Data Science, and downstream engineering teams to align priorities, manage dependencies, and deliver high-value outcomes. - Represent engineering in cross-functional forums, shaping roadmaps and reducing reliance on senior leadership for day-to-day decisions. - Develop deep domain expertise and mentor other engineers, helping raise the technical bar and influence the evolution of our data products. ABOUT YOU You’re a hands-on Staff IC and technical leader who thrives in complex data environments. You bring clarity to ambiguity, turn messy problems into reliable systems, and operate with a strong sense of ownership and impact. You collaborate effectively across functions, help others move faster, and are comfortable working across the full data and infrastructure stack. - You have a proven track record of leading large, complex technical projects from concept to production. - You bring deep experience building and evolving large-scale data architectures, pipelines, or distributed systems. - You operate well in high-ambiguity environments, make pragmatic trade-offs, and keep execution moving. - You communicate clearly with both technical and non-technical partners and influence direction without needing formal authority. - You raise the bar for engineering excellence through thoughtful design, high-quality code, and strong documentation. - You invest in others through mentorship, pairing, and constructive feedback. REQUIREMENTS -8+ years as a software, data, or backend engineer building and operating scalable, production-grade systems. - Experience with large-scale data processing (e.g., Spark/PySpark on EMR or similar) or scalable distributed backend systems, with the ability to quickly deepen expertise in our data stack (PySpark, EMR, Hudi/Delta). - Strong proficiency in SQL, including writing and optimizing complex queries over large datasets. - Strong programming experience in Python (or a modern language with the ability to quickly ramp up in Python). - Experience designing systems or large-scale datasets/pipelines with attention to performance, reliability, and maintainability. - Hands-on experience with modern engineering workflows and tooling such as Git, JIRA, and CI/CD systems (e.g., CircleCI). - Comfort deploying and troubleshooting distributed workloads in cloud environments such as AWS EMR or Kubernetes. - Experience with workflow orchestration or job scheduling tools (e.g., Airflow, Argo). - Demonstrated ability to independently drive complex, cross-team technical initiatives and influence stakeholders without formal authority. - Experience with streaming/messaging technologies (e.g., Kafka, Kinesis) nice to have - Background in RWE, healthcare data, or other complex/regulated data domains is preferred - Experience using AI-assisted coding tools (e.g., GitHub Copilot, Claude Code) to accelerate development while maintaining quality is encouraged COMPENSATION This role pays $170,000 to $190,000 per year, based on experience, in addition to stock options. Anticipated role close date: 01/05/2026 H1 OFFERS - Full suite of health insurance options, in addition to generous paid time off - Pre-planned company-wide wellness holidays - Retirement options - Health & charitable donation stipends - Impactful Business Resource Groups - Flexible work hours & the opportunity to work from anywhere - The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe H1 is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability, sex (including pregnancy), age, gender, gender identity, sexual orientation, marital status, veteran status, or any other characteristic protected by law. H1 is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you require an accommodation, please reach out to your recruiter once you've begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

The Senior Director, Data is responsible for leading the enterprise data function. This role oversees all data-related functions for the organization including Analytics, Data Science, Robotics & Data Engineering. This role drives the establishment & execution of our data strategy, modernizes data platforms, and adopts predictive modeling and generative AI solutions. This role will plan, deploy, and manage the steps necessary to foster an “analytics and innovative culture”. Reporting directly to the CIO, this individual will build partnerships with executive leadership to establish the vision for managing data as a business asset and to maximize the value derived from data assets; and leverage data as a strategic asset, improving decision-making, enhancing risk management, and driving operational efficiency. Essential Duties & Responsibilities Lead and grow the Business Analytics, Data Science, Robotics, Data Platform & Engineering teams - fostering collaboration, innovation, and a high-performance culture. Define KPIs, track progress, and conduct cost-benefit analyses to ensure AI investments generate value. Lead efforts to apply formal research and evaluation standards, advanced analytics, and data management principles to translate complex data into meaningful content. Research ways by which Coverys can gain a competitive advantage through AI innovation and analytics. Develop comprehensive plans by which this is achieved. Develop centralized communication related to all enterprise-wide data analytics and insights efforts. Data Strategy & Execution Accountable for the development and execution of data strategy aligned with Coverys’ goals, ensuring data quality, security, accessibility, and compliance. Institute an enterprise operating model for data, analytics, and AI that: a) is consistent with the capabilities and competencies required to execute the strategy; b) considers the unique data needs and requirements of each business function c) thoughtfully integrates disparate sources of data produced across business units and by external partners. Establish and maintain trust in data, analytics, and AI assets by partnering closely with AI Governance Ensure data, analytics, and AI governance policies are executed upon, ensuring compliance, data privacy and security standards. Insights Driven Approach Operate as an enterprise evangelist for data-driven decision-making, promoting analytics and AI across the organization. Champion the adoption of predictive modeling and generative AI, applying these technologies to underwriting, claims, actuarial, financial, and operational processes. Drive AI adoption across departments by educating leadership and employees, facilitating collaboration across the enterprise, and promoting a data-driven culture. Leverage data insights to support decision-making & drive business outcomes. Data Management and Engineering Develop a roadmap for the data and AI infrastructure, partnering closely with the Principal Enterprise Solutions Architect. Oversee the design, development, and modernization of data platforms & integrations, and pipelines, to support advanced analytics, reporting, and AI/Machine Learning capabilities. Robotics Oversee the overall delivery of robotic process automation capabilities as it aligns with business strategies and product vision. Monitor fields of interest to the company, seeking potential areas where the application of analytics, robotics and innovation will enhance the company. The Senior Director, Data will carry out supervisory responsibilities in accordance with the organization's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems. Education, Experience, Competencies & Values 10+ years of experience, proven leadership experience managing analytics and/or data engineering teams in a mid-to-large enterprise environment, preferably 2 years or more, in insurance or financial services. Bachelor’s, or advanced, degree in engineering or a related field Expertise in predictive analytics, and generative AI technologies. Strong understanding of data management platforms (such as Snowflake) and enterprise data governance. Track record of delivering measurable business outcomes through data-driven solutions. Excellent communication and stakeholder management skills, with the ability to influence at the executive level. Experience with insurance data, actuarial modeling, and regulatory compliance is highly desirable. Must be ready to take initiative and be self-driven True strategist, who can lead the organization & continue to focus on innovation. Demonstrated track record of experience in managing teams in a complex environment. The base salary range is $215,000 - $253,000 . Individual compensation packages are based on a variety of factors that are unique to each candidate including geographic location, skill set, experience, qualifications and education. If you're a caring and customer focused individual who enjoys working with passionate team members, Coverys is the right company for you!

Job Description: Short Description: Client is looking for a Senior Broadband and Digital Equity Data Analyst to serves as the district’s clearinghouse for all broadband and digital equity data-related issues. Complete Description: client is looking for a Senior Broadband and Digital Equity Data Analyst to serve as the district’s clearinghouse for all broadband and digital equity data-related issues. This position performs a wide variety of analytical, research and administrative functions with the goal of increasing broadband capacity and solving the digital divide in Washington, DC. This professional position reports to Deputy CTO for Digital Services, located in client will be responsible for all data collection and analysis for Tech Together DC, a values-based city-wide initiative to close the digital divide in Washington, DC. Work will include identifying and managing large public and private datasets, conducting geo-spatial and statistical analysis, designing empirical research and survey instruments, and providing technical assistance for strategy, planning, and performance management. Monitor, track and leverage publicly available broadband and digital equity data from the FCC, NTIA and other authoritative sources. Manage all geospatial data collection and statistical analysis related to broadband and digital equity. Assist with the development of a statewide broadband plan to include goals and objectives to expand broadband coverage and capacity for all DC Residents. Participate in advisory and/or stakeholder workgroups to inform planning, mapping, and spending priorities for digital inclusion. Assist stakeholders in efforts to identify and overcome barriers to broadband deployment and adoption. Support the design, implementation, and analysis policy and program evaluations, including randomized controlled trials (RCTs), quasi-experimental analyses, and other methodologies as appropriate. Monitor and measure implementation of the state broadband and digital equity plans. Support the development of required state and federal reports. Skill Requirements: Experience/Knowledge/Skills: Strong communication skills both verbally and in-writing. A writing sample may be required. Ability to conduct independent research on complex issues involving policy, economic, financial or technical matters. Expert statistical analysis skills. Expert GIS skills and 5+ years working with Esri tools (ArcGIS Online, ArcGIS Pro etc). Deep experience with Business Intelligence and Statistical Modeling tools. Expertise in at least one statistical programming language (R, Python, Stata, SAS, or similar) Ability to write clear and concise reports or other materials appropriate for various audiences. Ability to meet applicable deadlines. Ability to develop and maintain cooperative and effective working relationships with various stakeholders. Mastery of Microsoft Office products (Excel, Word, Access, and Outlook) Minimum Qualifications: Bachelor of Science degree from an accredited college or university in geography, engineering (mechanical, electrical, civil) or another technical field. Six (6) years and above of professional experience including a progressively responsible nature. Strong organizational and time management skills. Possess a sense of urgency and individual responsibility to work effectively with changing priorities. Maintain high degree of personal and professional ethics at all times. Preferred Qualifications: Master of Science degree from an accredited college or university in geography, science, engineering, or information technology. Professional experience related to the broadband or telecommunications industry and/or digital inclusion related data. Contract Job Description Responsibilities: Provides assessments of technical and operational practices based on leading industry standards specific to the requested technology. Plans, organizes, and conducts research in a variety of areas, such as new or existing products, science, social science, law or business in support of an IT initiative. Searches sources such as reference works, literature, documents, newspapers, statistical records, and other sources of information. May use Internet, Intranet, magazines, periodicals, journals, and other media to perform research. Analyzes information and statistical data to prepare reports and studies for use by professionals. Minimum Education/Certification Requirements: Master’s degree in Information Technology or related field or equivalent experience Skills: 6+ yrs. as SME in Broadband and Digital Equity Data Analysis. Required 6 Years 6-10 yrs as SME in complex enterprise level projects. Required 6 Years Bachelor of Science degree in geography, engineering (mechanical, electrical, civil) or another technical field. Required Master’s degree in IT or related field or equivalent experience. Desired Expert GIS skills and 5+ years working with Esri tools (ArcGIS Online, ArcGIS Pro etc). Required 6 Years Deep experience with Business Intelligence and Statistical Modeling tools. Required 6 Years Expertise in at least one statistical programming language (R, Python, Stata, SAS, or similar). Required 6 Years Ability to conduct independent research on complex issues involving policy, economic, financial or technical matters. Required 6 Years Mastery of Microsoft Office products (Excel, Word, Access, and Outlook). Required 6 Years Professional experience related to the broadband or telecommunications industry and/or digital inclusion related data. Highly desired 6 Years Compensation: $55.00 - $60.00 per hour About Us AHU Technologies INC. is an IT consulting and permanent staffing firm that meets and exceeds the evolving IT service needs of leading corporations within the United States. We have been providing IT solutions to customers from different industry sectors, helping them control costs and release internal resources to focus on strategic issues. AHU Technologies INC. was co-founded by visionary young techno-commercial entrepreneurs who remain as our principal consultants. Maintaining working relationships with a cadre of other highly skilled independent consultants, we have a growing number of resources available for development projects. We are currently working on Various projects such as media entertainment, ERP Solutions, data warehousing, Web Applications, Telecommunications and medical to our clients all over the world.

Join National Dentex - a leading healthcare organization specializing in the dental industry! We offer a full spectrum of specialized products, services, and technologies to address any dental restoration need. Currently, we have 50 labs throughout the country. We are seeking to fill a number of key positions within our organization including this Data Entry Specialist opportunity at NDX Thoele Dental Lab in St. Cloud, MN . The regular hours for this position are from 7:00am to 4:30pm, Monday through Thursday, 7:00am to 12:00pm on Fridays, and subject to change from time to time. This is a full-time position featuring employee benefits including: health, dental, vision, disability, and life insurance; paid holiday, vacation, and sick time; 401K with company contribution; and tuition reimbursement! Primary Responsibilities and Essential Functions of the Position: Unpacking and sanitizing new work as needed following instruction which includes wearing protective gear Sorts and attaches doctor prescriptions Enter prescription information via Data Entry to schedule cases Responsible for billing and invoicing all finished cases and will sort and attach Responsible for properly packing all completed cases Responsible for verifying and properly consolidating all cases to prepare for shipping Responsible for utilizing UPS and FedEx software and properly maintaining database integrity and account naming procedures Disburse cases for local drivers Maintain proper level of assembled shipping boxes Assist with answering incoming calls Skills and Abilities Required: Computer skills Must be able to read, write, speak and understand English Strong attention to detail Multi task Minimum Education and Experience Required: Preferred: High school diploma or GED equivalent Working knowledge of Microsoft Office Hazardous Materials or Equipment Used: Disinfectant process chemicals Personal protective equipment as required Office equipment Insert hazardous materials and/or equipment Physical Requirements: Regularly required to sit, stand, walk, and/or reach Exhibit fine motor skills and/or perform repetitive motions Good hand-eye coordination Good manual dexterity Ability to walk and stand for long periods of time Repeated bending and kneeling Vision capabilities: Depth perception, attention to detail and/or color Push, pull, lift, and/or carry up to 25 pounds

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation package. We’re also transforming business travel with a new corporate travel solution, KAYAK for Business. As an employee of KAYAK, you will be part of a travel company that operates a portfolio of global metasearch brands including momondo, Cheapflights and HotelsCombined, among others. From start-up to industry leader, innovation is in our DNA and every employee has an opportunity to make their mark. Our focus is on building the best travel search engine to make it easier for everyone to experience the world. KAYAK is looking for a Commercial Manager, Email & Data to lead KAYAK’s commercial strategy across channels that drive revenue from email and data partnerships. In this role, you will own revenue growth for these channels, contributing to strategies and roadmaps and work closely with marketing, product and engineering teams to put these plans to action and meet revenue goals. You will also develop and manage commercial partnerships that enhance our audience reach, unlock new revenue opportunities, and deliver measurable value for KAYAK and our partners. In this role, you will: Partner with Marketing and Product to develop strategy and roadmaps for email audience and revenue growth Build, manage and improve commercial and tech partnerships to monetize KAYAK data and audience offsite Identify, scope, and launch new revenue streams and partnerships Coordinate with legal, finance, and data governance to ensure all opportunities align with compliance and company objectives Use internal data and systems to present insights, prepare performance updates, and share strategic recommendations to senior leadership Help set targets to contribute to annual and quarterly forecasting for your channels Please apply if you have: 7+ years of experience in data-driven commercial or marketing roles Demonstrated ability to set priorities, develop strategies, and drive projects to completion. Practical knowledge of email marketing ecosystems, audience monetization, and data-driven advertising Commercially-minded with a record of meeting goals and delivering measureable results Strong analytical skills and comfort using data to make informed decisions Familiarity with data privacy and consumer consent frameworks (GDPR, CCPA, etc.). Excellent collaboration, presentation, and negotiation skills Bachelor’s degree required Benefits and Perks: Work from (almost) anywhere for up to 20 days per year Focus on mental health and well-being: Company-paid therapy sessions through SpringHealth Company-paid subscription to HeadSpace Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!) No meeting Fridays Paid parental leave Generous paid vacation+ time off for your birthday Paid volunteer time Focus on your career growth: Development Dollars Leadership development Access to thousand of on-demand e-learnings Travel Discounts Employee Resource Groups Competitive retirement and health plans Free lunch 2 days per week Fun quarterly events such as boat trips, arcades, ski trips, Thursday socials, and more! There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. The base range for this United States located role is $115,000 - 130,000.00 . We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus. Inclusion At KAYAK, we want everyone to have the space to grow, share ideas and do great work. That’s why we’re focused on hiring the best talent from all walks of life and experiences, supporting them well and making sure no one feels like they have to fit a mold to belong here.Need any adjustments for the interview, application or on the job? No problem - just give us a heads-up. We’ve got you. #LI-EI1

About Circadia Health Circadia Health is a growth‑stage healthcare AI company on a mission to prevent avoidable hospitalizations and transform senior‑care operations. Our Circadia Intelligence Platform combines: Contactless sensing that monitors respiration and motion with medical‑grade accuracy Predictive analytics & agentic AI workflows that detect 85 % of preventable rehospitalizations ~11 days in advance Enterprise integrations that embed insights directly into EHR, care‑coordination, billing, and compliance systems Today our technology touches 40,000+ post‑acute patients daily across skilled‑nursing, home‑health, and home‑care networks. We are backed by leading healthcare and AI investors and headquartered in El Segundo, CA . Why This Role Exists As a Data Engineer at Circadia Health , you will play a critical role in building and maintaining the data infrastructure that powers Circadia’s AI-driven clinical monitoring platform. You will design and operate robust data pipelines that ingest, transform, and distribute sensitive healthcare data originating from Electronic Health Record (EHR) systems, medical devices, and hospital information systems. Reporting directly to the Lead AI Engineer, you will work closely with backend engineers, ML engineers, clinical teams, and customer integration partners to ensure reliable, secure, and compliant flow of patient data — including ADT events, conditions, medications, allergies, clinical notes, and vital signs. Your work will directly enable Circadia’s predictive analytics and machine learning models that identify early signs of clinical deterioration, helping clinicians intervene sooner and improve patient outcomes. This is a hands-on role where production-grade data engineering, reliability, and healthcare compliance are non-negotiable. What You’ll Do Data Pipeline & Integration Development Design, build, and maintain scalable data pipelines to ingest healthcare data from customer EHR systems and hospital databases. Develop integrations using: REST APIs and webhook-driven workflows Database log shipping and change data capture (CDC) mechanisms, including Microsoft SQL Server–based systems Transform, validate, and normalize incoming clinical data before loading it into Circadia’s MySQL and Snowflake environments. Ensure pipelines are robust, fault-tolerant, and capable of handling large data volumes. Healthcare Data & EHR Integrations Integrate and manage healthcare data domains including: Admissions, Discharges, Transfers (ADT) Conditions, medications, allergies Clinical notes and progress notes Vital signs and physiological measurements Work with healthcare interoperability standards and protocols such as: HL7 v2 FHIR Partner with customer technical teams to support onboarding, troubleshooting, and ongoing data reliability. Data Platforms & Warehousing Take ownership of Circadia’s operational databases and analytical data warehouses. Design schemas and transformations that support both real-time application needs and downstream analytics and ML workloads. Optimize performance, cost, and scalability within Snowflake and MySQL . Cloud Deployment & Operations Deploy and operate data pipelines and services in AWS . Implement monitoring, logging, alerting, and operational dashboards for data workflows. Support production reliability, incident response, and continuous improvement of data systems. Security, Compliance & Data Quality Ensure all data pipelines meet healthcare security and privacy requirements, including HIPAA and SoC 2 . Apply best practices for handling Protected Health Information (PHI), including access control, encryption, and audit logging. Maintain clear documentation of data flows, transformations, and operational processes. Collaboration & Enablement Work closely with Data Science and ML teams to support: Model training and evaluation Feature generation and data labeling workflows Collaborate with backend engineers to develop internal tooling for data ingestion, validation, and monitoring. Participate in architecture discussions to ensure data systems scale with Circadia’s growth. Must‑Have Qualifications 5+ years of experience in Data Engineering , Backend Engineering, or a closely related role. Strong proficiency in Python for data pipeline and backend development. Strong proficiency in SQL . Hands-on experience with MySQL and Snowflake , including schema design and performance optimization. Experience integrating data from Microsoft SQL Server , including log shipping or CDC-style approaches. Experience building high-throughput data pipelines from ingestion through transformation and storage. Experience deploying and operating production systems in a major cloud provider ( AWS preferred ). Familiarity with APIs, webhooks, and event-driven architectures. Experience working with sensitive or regulated data. Nice‑to‑Haves Experience integrating with EHR systems (e.g., Epic, Homecare Homease, PointClickCare). Familiarity with healthcare data standards such as HL7 and FHIR . Experience supporting machine learning or data science teams. Experience with data orchestration, workflow management, or streaming systems. Background in healthcare, medical devices, or clinical data systems. Exposure to HIPAA compliance and healthcare security best practices. You’ll Thrive Here If… You take ownership of data systems end-to-end — from ingestion to analytics. You care deeply about data quality, reliability, and operational excellence. You are comfortable working in complex integration environments where every customer system is different. You communicate clearly across engineering, data, and clinical teams. You’re motivated by building technology that directly improves patient care. Compensation & Perks Base Salary: $150k - $220k base salary + meaningful employee stock options Benefits: 100% company‑paid medical, dental, vision; 401(k) with match; generous PTO; commuter stipend Workspace: El Segundo HQ with rooftop views, stocked espresso bar, and weekly team lunches Growth: Access to clinical advisors, AI research partners, and a front‑row seat to the future of healthcare AI $150,000 - $220,000 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Team The Human Data team turns human feedback into reliable signals for training and evaluation. We design and run end-to-end programs that capture the depth of human intent behind everyday and high-stakes uses of our models. Our remit spans bespoke data campaigns, scalable synthetic data generation, and product-embedded signals. We partner closely across all research teams to translate these signals into training datasets, novel evaluations, and feedback loops that push the frontier of our models and advance their applications. About the Role In this role you’ll act as a force multiplier for the Human Data leadership team - turning strategy into execution across our most important priorities. You’ll move fluidly between high-context research programs, operational scaling, and cross-functional execution, ensuring critical initiatives have the right structure, clarity, and momentum to succeed. You’ll work closely with the Head of Human Data Operations to identify and drive impact where it matters most - whether diving into a strategic area, unblocking a burning challenge, or standing up a new capability for the team. You’ll combine technical fluency with program leadership and business judgment to accelerate outcomes across a fast-moving, high-stakes portfolio. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Identify and execute high-impact initiatives: Work alongside HD team to surface, prioritize, and operationalize strategic bets that strengthen OpenAI’s data ecosystem. Act as an executional extension of leadership: Step into ambiguous or critical areas, rapidly build context, and drive cross-functional alignment through to resolution or scale. Lead commercial and strategic execution: Negotiate and execute deals, manage partner conversations, and work closely with cross-functional teams - including Legal, Procurement, Security, and Finance - to bring opportunities to closure. Bridge strategy and delivery: Translate complex research and operational goals into structured, actionable programs that balance speed, scalability, and rigor. Optimize and unblock systems: Design lightweight processes, dashboards, and feedback loops to enhance visibility and accountability across the portfolio. Unblock Yourself: You must be deeply uncomfortable with the idea of sitting around waiting for external dependencies, and have the technical acumen and drive to figure out how to achieve at least partial success in the interim Optimize Systems & Processes: Build and optimize dashboards to track performance, leveraging SQL and Python for data analysis and actionable insights. Build leverage through others: Empower program managers, TPMs, and vendors to drive programs and operate in their domains - enabling you to stay focused on high-impact work You’ll thrive in this role if you: Are proficient in SQL and Python for data analysis, including querying databases, processing large datasets, and generating actionable insights Are proficient in SQL for creating analytics dashboards, including writing complex queries, optimizing data retrieval, and visualizing insights for decision-making Combine technical intuition with strong business and commercial acumen. Are comfortable negotiating, structuring, and closing partnerships or vendor engagements. Build trust and momentum across diverse cross-functional teams, influencing without authority. Operate with high horsepower, switching fluidly between strategic abstraction and hands-on execution. Thrive in dynamic environments and enjoy solving problems that don’t yet have playbooks. Seek a role that amplifies organizational impact through clarity, execution, and sound judgment. Are excited to understand the technicalities of cutting edge AI research and work alongside researchers from instantiation to launch Enjoy being part of an ambitious and technically-minded team Want to get your hands dirty; grit and creative problem solving will be required daily Learn technical concepts exceptionally quickly, seeking out knowledge to become proficient in areas that are new to you. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.