Data engineer jobs in Hempstead, NY

The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, a clinical data warehouse team and a data services team. The Lead HPC Architect, Cybersecurity, High Performance Computational and Data Ecosystem, is responsible for designing, implementing, and managing the cybersecurity infrastructure and technical operations of Scientific Computing's computational and data science ecosystem. This ecosystem includes a 25,000+ core and 40+ petabyte usable high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. The HPC system is the fastest in the world at any academic biomedical center (Top 500 list). To meet Sinai's scientific and clinical goals, the Lead brings a strategic, tactical and customer-focused vision to evolve the ecosystem to be continually more resilient, secure, scalable and productive for basic and translational biomedical research. The Lead combines deep technical expertise in cybersecurity, HPC systems, storage, networking, and software infrastructure with a strong focus on service, collaboration, and strategic planning for researchers and clinicians throughout the organization and beyond. The Lead is an expert troubleshooter, productive partner and leader of projects. The lead will work with stakeholders to make sure the HPC infrastructure is in compliance with governmental funding agency requirements and to promote efficient resource utilizations for researchers This position reports to the Director for HPC and Data Ecosystem in Scientific Computing and Data. Key Responsibilities: HPC Cybersecurity & System Administration: Design, implement, and manage all cybersecurity operations within the HPC environment, ensuring alignment with industry standards (NIST, ISO, GDPR, HIPAA, CMMC, NYC Cyber Command, etc.). Implement best practices for data security, including but not limited to encryption (at rest, in transit, and in use), audit logging, access control, authentication control, configuration managements, secure enclaves, and confidential computing. Perform full-spectrum HPC system administration: installation, monitoring, maintenance, usage reporting, troubleshooting, backup and performance tuning across HPC applications, web service, database, job scheduler, networking, storage, computes, and hardware to optimize workload efficiency. Lead resolution of complex cybersecurity and system issues; provide mentorship and technical guidance to team members. Ensure that all designs and implementations meet cybersecurity, performance, scalability, and reliability goals. Ensure that the design and operation of the HPC ecosystem is productive for research. Lead the integration of HPC resources with laboratory equipment for data ingestion aligned with all regulatory such as genomic sequencers, microscopy, clinical system etc. Develop, review and maintain security policies, risk assessments, and compliance documentation accurately and efficiently. Collaborate with institutional IT, compliance, and research teams to ensure all regulatory, Sinai Policy and operational alignment. Design and implement hybrid and cloud-integrated HPC solutions using on-premise and public cloud resources. Partner with other peers regionally, nationally and internationally to discover, propose and deploy a world-class research infrastructure for Mount Sinai. Stay current with emerging HPC, cloud, and cybersecurity technologies to keep the organization's infrastructure up-to-date. Work collaboratively, effectively and productively with other team members within the group and across Mount Sinai. Provide after-hours support as needed. Perform other duties as assigned or requested. Requirements: Bachelor's degree in computer science, engineering or another scientific field. Master's or PhD preferred. 10 years of progressive HPC system administration experience with Enterprise Linux releases including RedHat/CentOS/Rocky Systems, and batch cluster environment. Experience with all aspects of high-throughput HPC including schedulers (LSF or Slurm), networking (Infiniband/Gigabit Ethernet), parallel file systems and storage, configuration management systems (xCAT, Puppet and/or Ansible), etc. Proficient in cybersecurity processes, posture, regulations, approaches, protocols, firewalls, data protection in a regulated environment (e.g. finance, healthcare). In-depth knowledge HIPAA, NIST, FISMA, GDPR and related compliance standards, with prove experience building and maintaining compliant HPC system Experience with secure enclaves and confidential computing. Proven ability to provide mentorship and technical leadership to team members. Proven ability to lead complex projects to completion in collaborative, interdisciplinary settings with minimum guidance. Excellent analytical ability and troubleshooting skills. Excellent communication, documentation, collaboration and interpersonal skills. Must be a team player and customer focused. Scripting and programming experience. Preferred Experience Proficient with cloud services, orchestration tools, openshift/Kubernetes cost optimization and hybrid HPC architectures. Experience with Azure, AWS or Google cloud services. Experience with LSF job scheduler and GPFS Spectrum Scale. Experience in a healthcare environment. Experience in a research environment is highly preferred. Experience with software that enables privacy-preserving linking of PHI. Experience with Globus data transfer. Experience with Web service, SAP HANA, Oracle, SQL, MariaDB and other database technologies. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

What is pact? pact is a cancer copilot that helps oncology patients and their families take control of their care. We connect patients to cutting-edge treatments and relevant clinical trials in seconds, not weeks. Built by patients and caregivers, pact is the tool we wish had existed during our own cancer journeys. We are seeking like-minded change agents to join us in accelerating patient access to clinical trials and better treatment options. Who we are looking for? We are hiring a Full Stack Engineer for a full-time, in-person role in SF or NYC, with a clear path to becoming a founding team member. You will work directly with our CTO to own and build core product features across the stack, from AI-powered trial matching to patient- and clinician-facing experiences. This role offers real technical and product ownership at an early stage, with influence over architecture, roadmap, and execution. PACT is building at the frontier of cancer care, and this is an opportunity to help shape the future of how patients access life-changing treatments. We are looking for someone who wants responsibility, speed, and impact from day one. Qualifications Deep passion for improving the experience of cancer patients and their families 2+ years of software engineering experience at a big tech company or health-tech startup Desire and comfort to work and thrive in ambiguity Strong communication skills and ability to collaborate across product, design, and clinical stakeholders Frontend expertise: Typescript, React, NextJS, Figma Backend expertise: Python, gRPC, API contract building Experience deploying on GCP Experience building software in regulated healthcare environments, including HIPAA and patient privacy requirements Compensation Competitive early-stage base salary Meaningful equity with long-term upside

Highrise | Brooklyn, NY (Hybrid) Highrise is a full-service Architecture, Expediting, and Development firm focused on complex New York City projects. We are seeking a high-level Senior Architect to join our in-house Brooklyn team and lead projects from design through construction. This is a hybrid position with 2-3 days remote and the remainder in our Brooklyn office. Role & Responsibilities Lead architectural design and documentation for new buildings and major alterations Manage Construction Administration (CA), including: RFIs, submittals, shop drawings, and field conditions Site visits and coordination with GC, consultants, and ownership Issue resolution during construction Ensure compliance with NYC Zoning, Building Code, Energy Code, and ADA Coordinate DOB filings and agency reviews Collaborate closely with ownership, expeditors, engineers, and development teams Review work and mentor junior staff Qualifications Licensed Architect preferred (NY license a strong plus) Proven experience in Construction Administration for NYC projects Deep working knowledge of NYC Code, Zoning, Energy, and ADA Strong development-driven project background Advanced proficiency in AutoCAD and Revit Able to independently manage projects from concept through CO What We Offer Very competitive compensation Generous PTO Hybrid schedule (2-3 days remote) Direct access to ownership and decision-making Long-term growth within a fast-growing firm High-quality NYC development projects 📍 Location: Brooklyn, NY 🗓 Schedule: Full-Time, Hybrid (2-3 days remote)

Your work will change lives. Including your own. Please note: Our offices will be closed for our annual winter break from December 22, 2025, to January 2, 2026. Our response to your application will be delayed. The Impact You'll Make As a member of Recursion's AI-driven drug discovery initiatives, you will be at the forefront of reimagining how biological knowledge is generated, stored, accessed, and reasoned upon by LLMs. You will play a key role in developing the biological reasoning infrastructure, connecting large-scale data and codebases with dynamic, agent-driven AI systems.You will be responsible for defining the architecture that grounds our agents in biological truth. This involves integrating biomedical resources to enable AI systems to reason effectively and selecting the most appropriate data retrieval strategies to support those insights. This is a highly collaborative role: you will partner with machine learning engineers, biologists, chemists, and platform teams to build the connective tissue that allows our AI agents to reason like a scientist. The ideal candidate possesses deep expertise in both core bioinformatics/cheminformatics libraries and modern GenAI frameworks (including RAG and MCP), a strong architectural vision, and the ability to translate high-potential prototypes into scalable production workflows. In this role, you will: * Architect and maintain robust infrastructure to keep critical internal and external biological resources (e.g., ChEMBL, Ensembl, Reactome, proprietary assays) up-to-date and accessible to reasoning agents. * Design sophisticated context retrieval strategies, choosing the most effective approach for each biological use case, whether working with structured, entity-focused data, unstructured RAG, or graph-based representations. * Integrate established bioinformatics/cheminformatics libraries into a GenAI ecosystem, creating interfaces (such as via MCP) that allow agents to autonomously query and manipulate biological data. * Pilot methods for tool use by LLMs, enabling the system to perform complex tasks like pathway analysis on the fly rather than relying solely on memorized weights. * Develop scalable, production-grade systems that serve as the backbone for Recursion's automated scientific reasoning capabilities. * Collaborate cross-functionally with Recursion's core biology, chemistry, data science and engineering teams to ensure our biological data and the reasoning engines are accurately reflecting the complexity of disease biology and drug discovery. * Present technical trade-offs (e.g., graph vs. vector) to leadership and stakeholders in a clear, compelling way that aligns technical reality with product vision. The Team You'll Join You'll join a bold, agile team of scientists and engineers dedicated to building comprehensive biological maps by integrating Recursion's in-house datasets, patient data, and external knowledge layers to enable sophisticated agent-based reasoning. Within this cross-functional team, you will design and maintain the biological context and data structures that allow agents to reason accurately and efficiently. You'll collaborate closely with wet-lab biologists and core platform engineers to develop systems that are not only technically robust but also scientifically rigorous. The ideal candidate is curious about emerging AI technologies, passionate about making biological data both machine-readable and machine-understandable, and brings a strong foundation in systems biology, biomedical data analysis, and agentic AI systems. The Experience You'll Need * PhD in a relevant field (Bioinformatics, Cheminformatics, Computational Biology, Computer Science, Systems Biology) with 5+ years of industry experience, or MS in a relevant field with 7+ years of experience, focusing on biological data representation and retrieval. * Proficiency in utilizing major public biological databases (NCBI, Ensembl, STRING, GO) and using standard bioinformatics/cheminformatics toolkits (e.g., RDKit, samtools, Biopython). * Strong skills in designing and maintaining automated data pipelines that support continuous ingestion, transformation, and refresh of biological data without manual intervention. * Ability to work with knowledge graph data models and query languages (e.g., RDF, SPARQL, OWL) and translate graph-structured data into relational or other non-graph representations, with a strong judgment in evaluating trade-offs between different approaches. * Competence in building and operating GenAI stacks, including RAG systems, vector databases, and optimization of context windows for large-scale LLM deployments. * Hands-on expertise with agentic AI frameworks (e.g., MCP, Google ADK, LangChain, AutoGPT) and familiarity with leading LLMs (e.g., Google Gemini/Gemma) in agentic workflows, including benchmarking and evaluating agent performance on bioinformatics/cheminformatics tasks such as structure prediction, target identification, and pathway mapping. * Strong Python skills and adherence to software engineering best practices, including CI/CD, Git-based version control, and modular design. * Excellent cross-functional communication skills, ability to clearly explain complex architectural decisions to both scientific domain experts and technical stakeholders. Nice to Have * Strong background in machine learning and deep learning, including hands-on experience with foundation models and modern neural architectures. * Fine-tuning LLMs on scientific corpora for domain-specific reasoning. * Integrating LLMs with experimental or proprietary assay data in live scientific workflows. * Background in drug discovery and target identification. * Meaningful contributions to open-source libraries, research codebases, or community-driven tools. Working Location & Compensation: This is an office-based, hybrid role in either our Salt Lake City, UT or New York City, NY offices. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 - $238,400. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-DNI The Values We Hope You Share: * We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. * We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. * We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. * We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. * We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. * We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Responsibilities: • Develop and test Extract, Transformation, and Loading (ETL) modules based on design specifications • Develop and test ETL Mappings in Talend • Plan, test, and deploy ETL mappings, and database code as part of application build process across the enterprise • Provide effective communications with all levels of internal and external customers and staff • Must demonstrate knowledge in the following areas: o Data Integration o Data Architecture o Team Lead experience is a plus • Understand, analyze, assess and recommend ETL environment from technology strategy and operational standpoint • Understand and assess source system data issues and recommend solution from data integration standpoint • Create high level, low level technical design documents for data integration • Design exceptions handling, audit and data resolution processes • Performance tune ETL environment • Conduct proof of concepts • Estimation of work based on functional requirements documents • Identify system deficiencies and recommending solutions • Designing, coding, and writing unit test cases from functional requirements • Delivering efficient and bug-free ETL packages and documentation • Maintenance and support of enterprise ETL jobs • Experience with Talend Hadoop tools is a plus Basic Qualifications: • 3+ years of development experience on Talend ETL tools • 7+ years working with one or more of the following ETL Tools: Talend, Informatica, Ab Initio or Data Stage • 7+ years proficient experience as a developer • Bachelor's Degree in Computer Science or equivalent • Database (Oracle, SQL Server, DB2) • Database Programming (Complex SQL, PL/SQL development knowledge) • Data Modeling • Business Analysis • Top level performer with ability to work independently in short time frames • Proficient working in a Linux environment • Experience in scripting languages (Shell, Python or Perl) • 5+ years of experience deploying large scale projects ETL projects that • 3+ years of experience in a development lead position • Data analysis, data mapping, data loading, and data validation • Understand reusability, parameterization, workflow design, etc. • Thorough understanding of Entire life cycle of Software and various Software Engineering Methodologies • Performance tuning of interfaces that extract, transform and load tens of millions of records • Knowledge of Hadoop ecosystem technologies is a plus Additional Information If you are comfortable with the position and location then please revert me back at the earliest with your updated resume and following details or I would really appreciate if you can call me back on my number. Full Name: Email: Skype id: Contact Nos.: Current Location: Open to relocate: Start Availability: Work Permit: Flexible time for INTERVIEW: Current Company: Current Rate: Expected Rate: Total IT Experience [Years]: Total US Experience [Years]: Key Skill Set: Best time to call: In case you are not interested, I will be very grateful if you can pass this position to your colleagues or friends who might be interested. All your information will be kept confidential according to EEO guidelines.

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity. Salary Range: $201,700 - $267,300 USD Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

US Tech Solutions is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit our website ************************ We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, sets the correct expectation and thus becomes an accelerator in the mutual growth of the individual and the organization as well. Keeping the same intent in mind, we would like you to consider the job opening with US Tech Solutions that fits your expertise and skillset. Job Description Responsibilities: • Assist in the identification/resolution of critical path issues related to the generation of technical specifications and associated Informatica ETL development • Provide solutions to design and develop ETL mappings and related activities; ability to articulate in architecture terms • Strong ability to author technical solution documents, and architecture components • Provide technical support and troubleshooting to data integration issues • Work together with the business intelligence team to design and develop reporting and dashboard solutions • Create and maintain detailed technical documentation on developments • Provide solutions to fine tune ETLs and database components for performance • Provide testing strategy and support execution • Provide deployment and release management strategy and support Qualifications Qualifications: • BS in Computer Science ore related IT field, or equivalent work experience required • Experience: 3-5 years development experience with database solutions (Oracle SQL, PL/SQL) and Unix scripting • Hands on development experience 5+ years' experience in data integration (ETL) specifically in Informatica PowerCenter9.5 and above • Experience in developing data warehouse solutions in the Finance industry • Ability to analyze information architectures understands and derives business requirements • Ability to collaborate and work in a team environment • Proactive thinking and ability to work under minimal supervision • Excellent analytical and communication skills and ability to deal effectively with customers • Good communication skills both oral and written to be able to work with both the technical and banking users • Strong project experience in providing data integration solutions to Data Warehouse and/or Data Mart implementations Additional Information Kushal kumar **********

Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role. **Responsibilities** + Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams + Quantify ROI on marketing investment,determineoptimalspend range across the portfolio,identifyproposed efficiency caps by channel, set budgetamountsand inform subscriber acquisition forecasts + Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting,messagingand tactics, and that help cross-validate model results + Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV,etc) + Support long-term MMM (et.al.) automation,productionalizationand scale with support from data engineering and product + Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets,channelsand subscriber types **Basic Qualifications** + Bachelor's degree in advanced Mathematics, Statistics, DataScienceor comparable field of study + 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices + Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency andoptimizespend, flighting and mix to maximize return on ad spend (i.e., MMM) + Exposure / understanding of media attribution practices for digital and linear media, the datarequiredto power them and methodologies for measurement + Understanding of incrementality experiments tovalidatemodel recommendations and gain learnings on channel/publisher efficacy + Exposure to / familiarity withwith BI/data concepts and experience building out self-service marketing data solutions + Strong coding experience in one (or more) data programming languages like Python/R + Ability to draw insights and conclusions from data to inform model development and business decisions + Experience in SQL **Preferred Qualifications** + Mastersdegree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. **Job ID:** 10137431 **Location:** New York,New York **Job Posting Company:** Disney Direct to Consumer The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

A Few Words About Us Integrated Resources, Inc is a premier staffing firm recognized as one of the tri-states most well-respected professional specialty firms. IRI has built its reputation on excellent service and integrity since its inception in 1996. Our mission centers on delivering only the best quality talent, the first time and every time. We provide quality resources in four specialty areas: Information Technology (IT), Clinical Research, Rehabilitation Therapy and Nursing. Position: ETL Architect Location: NYC Duration: 6 months Job Description: This opportunity is for individuals who have Hands-on experience in data warehouse design and development. The Role demands more than a typical ETL lead role as it interacts outwardly on projects with architects, PM's, OPS, data modelers, developers, admins, DBA's and testers. This is a hands-on delivery-focused role, and the individual will be responsible for technical delivery of data warehouse and data integration projects Must have skills • 7-10 years Hands on experience with Informatica ETL in designing and developing ETL processes based on multiple sources using ETL tools • Experience in Architecting end to end ETL solutions • Hands on UNIX experience. Scripting (e.g. shell, perl, alerts, cron, automation) • Expert at all aspects of relational database design • Experience working with engineering team with respect to database-related performance tuning, writing of complex SQL, indexing, etc. Good to Have: • Experience with IDQ, MDM, other ETL tools • Experience with dashboard and report development • Experience with financial services firms will be preferred Additional Information Kind Regards Sachin Gaikwad Technical Recruiter Integrated Resources, Inc. Direct Line : 732-429-1920

About the Team OpenAI's User Operations organization is building the data and intelligence layer behind AI-assisted operations - the systems that decide when automation should help users, when humans should step in, and how both improve over time. Our flagship platform is transforming customer support into a model for "agent-first" operations across OpenAI. About the Role As a Data Scientist on User Operations, you'll design the models, metrics, and experimentation frameworks that power OpenAI's human-AI collaboration loop. You'll build systems that measure quality, optimize automation, and turn operational data into insights that improve product and user experience at scale. You'll partner closely with Support Automation Engineering, Product, and Data Engineering to ensure our data systems are production-grade, trusted, and impactful. This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. Why it matters Every conversation users have with OpenAI products produces signals about how humans and AI interact. User Ops Data Science turns those signals into insights that shape how we support users today and design agentic systems for tomorrow. This is a unique opportunity to help define how AI collaboration at scale is measured and improved inside OpenAI. In this role, you will: * Build and own metrics, classifiers, and data pipelines that determine automation eligibility, effectiveness, and guardrails. * Design and evaluate experiments that quantify the impact of automation and AI systems on user outcomes like resolution quality and satisfaction. * Develop predictive and statistical models that improve how OpenAI's support systems automate, measure, and learn from user interactions. * Partner with engineering and product teams to create feedback loops that continuously improve our AI agents and knowledge systems. * Translate complex data into clear, actionable insights for leadership and cross-functional stakeholders. * Develop and socialize dashboards, applications, and other ways of enabling the team and company to answer product data questions in a self-serve way * Contribute to establishing data science standards and best practices in an AI-native operations environment. * Partner with other data scientists across the company to share knowledge and continually synthesize learnings across the organization You might thrive in this role if you have: * 10+ years of experience in data science roles within product or technology organizations. * Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. * Expert-level SQL and proficiency in Python for analytics, modeling, and experimentation. * Proven experience designing and interpreting experiments and making statistically sound recommendations. * Experience building data systems or pipelines that power production workflows or ML-based decisioning. * Experience developing and extracting insights from business intelligence tools, such as Mode, Tableau, and Looker. * Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. * Ability to build relationships with diverse stakeholders and cultivate strong partnerships. * Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. * Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. * Strong communication skills and the ability to translate complex data into stories for non-technical partners. Nice-to-haves: * Familiarity with large language models or AI-assisted operations platforms. * Experience in operational automation or customer support analytics. * Background in experimentation infrastructure or human-AI interaction systems. 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.

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable is seeking a product-focused Data Scientist to join our Analytics & Data Science team. In this high-impact role, you'll partner closely with product development teams to transform raw user data into actionable insights that drive growth for Airtable's self-serve business. You'll own critical data pipelines, design and analyze experiments, build dashboards, and deliver strategic insights that inform executive decision-making. This is a unique opportunity to shape the future of a data-driven, AI-native SaaS company and scale analytics best practices across the organization. What you'll do Own and maintain core product data pipelines across DBT, Looker, and Omni, ensuring reliability, scalability, and minimal downtime Build and refine dashboards that deliver self-serve, real-time insights for high-priority product areas Lead the development and delivery of company-wide strategic insights that connect user behavior patterns and inform executive decisions Partner with product and engineering teams to define tracking requirements, implement instrumentation, validate data, and deliver launch-specific dashboards or reports Establish trusted partnerships with product managers, engineers, analysts, and leadership as the go-to resource for product data insights and technical guidance Collaborate with leadership to define the analytics roadmap, prioritize high-impact initiatives, and assess resource needs for scaling product analytics capabilities Mentor junior team members and cross-functional partners on analytics best practices and data interpretation; create documentation and training materials to scale institutional knowledge Support end-to-end analytics for all product launches, including tracking implementation, validation, and post-launch reporting with documented impact measurements Deliver comprehensive strategic analyses or experiments that connect user behavior patterns and identify new growth opportunities Lead or participate in cross-functional projects where data science contributions directly influence product or strategy decisions Migrate engineering team dashboards to Omni or Databricks, enabling self-serve analytics Who you are Bachelor's degree in computer science, data science, mathematics/statistics, or related field 6+ years of experience as a data scientist, data analyst, or data engineer Experience supporting product development teams and driving product growth insight Background in SaaS, consumer tech, or data-driven product environments preferred Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery); sets standards and mentors others on best practices Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode) Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels) Proven ability to apply AI/ML tools - from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot) Strong statistical foundation; designs and scales experimentation practices that influence product strategy and culture Translates ambiguous business questions into structured analyses, guiding teams toward actionable insights Provides thought leadership on user funnels, retention, and growth analytics Ensures data quality, reliability, and consistency across critical business reporting and analytics workflows Experience at an AI-native company, with exposure to building or scaling products powered by AI Knowledge of product analytics tracking frameworks (e.g., Segment, Amplitude, Mixpanel, GA4) and expertise in event taxonomy design Strong documentation and knowledge-sharing skills; adept at creating technical guides, playbooks, and resources that scale team effectiveness Models curiosity, creativity, and a learner's mindset; thrives in ambiguity and inspires others to do the same Crafts compelling narratives with data, aligning stakeholders at all levels and driving clarity in decision-making Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:$205,200-$266,300 USDFor all other work locations (including remote), the base salary range for this role is:$185,300-$240,000 USD Please see our Privacy Notice for details regarding Airtable's collection and use of personal information relating to the application and recruitment process by clicking here. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at ***************. Learn more about avoiding job scams here.

Vertical Relevance is looking for an AWS Data Consultant, to join our team as a full-time employee and work remotely. This person is responsible for the end-to-end planning, building, and deploying of software systems. He/she will be able to drive the programming of well-constructed, testable code. As an AWS Data Consultant, you will implement technical solutions as part of a team for customer engagements. This role requires strong teamwork, communication, patience and organization skills needed to drive customer success. At Vertical Relevance we deliver with excellence through teamwork, automating everything, constantly learning and taking ownership for the outcomes our customers experience. Are you ready to join the team? Responsibilities Help customers shape their journey to adopting the cloud and provide our customers with technical and strategic guidance on their “cloud journey”. Consult, plan, design, and implement Data solutions on the cloud customers Design AWS Data Lake implementations Design and Develop AWS Data Quality and Governance solutions Become a deep technical resource that earns our customer's trust Develop high-quality technical content such as automation tools, reference architectures, and white papers to help our customers build on the cloud Innovate on behalf of customers and translate your thoughts into action yielding measurable results. Support solution development by conveying customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend expansion of capabilities through enhanced and new offerings. Assist with technical briefs that document solutions Assist with reference architecture implementations Support internal and external brand development through thought leadership: Work with Marketing/Alliances to write blog posts Work with Marketing/Alliances to develop internal case studies Qualifications Professional experience architecting/operating Data / DevOps solutions built on AWS Experience in software/technology customer facing experience You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Sample Activities You'll Do AWS Data Architecture and Data Lake Implementation Assist Customer in building out a framework for data collection, data ingestion and catalog, data storage and data serving designed to optimize the efficiency in which information is accessed, curated, served and analyzed from up to two on-premises data sources. Assist Customer with implementing Amazon Virtual Private Cloud (Amazon VPC), account, Amazon Simple Storage Service (Amazon S3) bucket strategy and capture impact for introducing critical data for a data lake. Assist Customer with achieving modern big data lambda architecture, providing an environment for consumption and utilization of data coming from either batch or streaming sources. Assist Customer with defining detailed data architecture including raw data, conformed, structured, enriched, and aggregated. Provide Customer general best practices in building production quality data pipeline for ingestion, transformation and consumption to downstream applications through a serving layer. Assist Customer with defining details to data catalog and data serving layer through application program interfaces (APIs) if required. Provide Customer general best practices for Amazon S3 data storage approach. Build Ingestion and Orchestration Ingestion Based on Customer's ingestion requirements provided. Assist Customer with building a reusable ingestion framework to onboard new data quickly based on one data source example. Assist Customer with designing and building robust data ingestion solutions using monitoring, logging and alerting servicing with retry capabilities. Assist Customer with server-less approaches where if applicable for the ingestion. Assist Customer with building the framework for managing data updates to data stored in objects on Amazon S3. Orchestration Based on Customer's ingestion, orchestration and operational requirements. Provide general best practices to Customer for implementing an extensible and supportable orchestration framework for onboarding data to a lambda architecture for a representative data source. Advise Customer on leveraging AWS Services tools for data ingestion including Amazon Kinesis, Amazon EMR, AWS Lambda or other tool defined as part of the assessment. Advise Customer on orchestration options on AWS Services including but not limited to AWS Glue, AWS Step Functions, AWS Batch, Amazon EMR, AWS Data Pipeline, AWS Lambda or other AWS native orchestration tooling. Must Have: Apache Iceberg Sagemaker, SageMaker Lakehouse, SageMaker Catalog, Terraform Should Have: Athena, Redshift, EMR, Glue, DataBricks and/or Snowflake Assist Customer with building out the orchestration and state management processes to support data processing without data loss and exception and identify error handling. Advise Customer on how the orchestration tooling will provide operational feedback to the support organizations in the event of a failure. Storage and Catalog Amazon S3 Data Storage Build Based on Customer's usage requirements. Assist Customer with building the data lake storage approach for a representative data source. Assist Customer with building data storage including buckets, prefixes, encryption, file types, partitioning. Assist Customer with building automated data partition strategy. Assist Customer with building Amazon S3 Bucket policies, logging and monitoring. Assist Customer with building out data lifecycle management. Assist Customer with building cross-region replication if required. Relevant Technical Tools Primary Languages - Python Tooling, Services & Libraries - Airflow, Kafka, Parquet, Spark, Metaflow, Git, Hadoop Relevant AWS Services AWS Infrastructure Scripting - CloudFormation, AWS CLI, AWS CDK AWS Storage Services - S3 AWS Compute Services - Lambda, Batch AWS Database Services - RDS, DynamoDB, Redshift, Aurora, Neptune AWS Networking Services - VPC AWS Management and Governance Services - CloudTrail, Service Catalog AWS Analytics Services - Athena, EMR, Kinesis, Glue, Lake Formation, Data Pipeline AWS Security, Identity, Compliance Services - IAM AWS Application Integration Services - Step Functions The Company Vertical Relevance was founded to help business leaders drive value through the design and delivery of effective transformation programs across people, processes, and systems. Our mission is to help firms at any stage of their journey develop custom solutions for success and growth. We provide a full range of services from strategy and design through to implementation and training. Our collective industry expertise is our greatest asset - our professionals have an average of 20+ years' experience within Financial Services, across Wealth Management, Asset Management, Insurance, and Banking. Within our Customer Experience practice, we add complementary industry expertise (technology and media) synergizing the most relevant and successful customer trends. We focus wholly on your success by first rigorously assessing your business and technology challenges, and then right-sizing solutions that provide a meaningful ROI. With our industry experts hitting the ground running and focusing on nimble, quality delivery, we can see rapid, tangible improvements with our clients in productivity and effectiveness. When it makes sense for your company, we leverage our product partnerships in the areas of CRM, Sales Acceleration, Predictive Analytics, Digital Knowledge Management, and Cloud Transformation. Vertical Relevance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Job DescriptionDescription: Purview Data Governance Consultant OR (c2c) About Tryton TC Tryton TC is a specialized IT staffing firm connecting top-tier technical talent with innovative organizations across the country. We take pride in partnering with exceptional professionals who deliver meaningful impact and value in every engagement. Position Overview We are seeking a Data Quality Consultant to join our client's team in New York City. This role will focus on implementing and optimizing data quality solutions, ensuring clean, consistent, and reliable data across the organization. The ideal candidate will bring both technical expertise and strong communication skills to effectively engage with executive-level stakeholders. Key Responsibilities Lead hands-on implementation and configuration of data quality tools and technologies Collaborate with business and technical teams to define and maintain data quality standards Partner with senior and executive stakeholders to communicate project progress and insights Troubleshoot, optimize, and document data quality processes and workflows Requirements: Required Skills and Experience Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field 3-5 years of professional experience in data quality, data governance, or data management roles Proven experience implementing data quality tools or technologies Expertise in at least one of the following: Microsoft Purview (Data Quality) Google Dataplex (Data Quality) Other tools such as Informatica, Ataccama, or SODA Strong communication and presentation skills, with the ability to engage with executive-level stakeholders Ability to work onsite in New York City 2-3 days per week Preferred Qualifications Experience within the energy and utilities sector Advanced knowledge of data governance frameworks or data management best practices

Job DescriptionBenefits: 401(k) Opportunity for advancement Training & development About the Role Red Hill Consulting (RHC) is seeking a highly skilled Senior Strategy, Data & AI Consultant to join our consulting team. This role is ideal for a candidate who excels at transforming complex organizational challenges into clear, strategic, and forward-looking solutions. As an RHC Consultant, you will work with cross-functional technical and operational teams to shape data governance frameworks, AI adoption strategies, and technology roadmaps that support enterprise-wide modernization. This position offers the opportunity to influence high-impact initiatives, guide organizational data maturity, and help design responsible, innovative AI capabilities that enhance efficiency, transparency, and long-term digital readiness. The role is part-time (four days per week) with the possibility of transitioning into a full-time position based on performance and project needs. Key Responsibilities Develop and deliver Data Governance Strategies that strengthen organizational data quality, transparency, and accessibility. Create comprehensive AI Adoption and AI Governance roadmaps, including culture-change initiatives and staff upskilling plans. Conduct organizational Data Maturity Assessments and recommend actionable steps to elevate maturity across people, processes, and technologies. Integrate Responsible AI principles into strategic planning, ensuring ethical, secure, and compliant use of AI solutions. Establish a curation and evaluation process for new AI innovations and use cases. Build and implement AI Governance and Risk Assessment processes tailored to enterprise environments. Identify and define the people, processes, and technology architecture required to operationalize AI successfully. Lead and manage data governance initiatives, from discovery and planning through successful delivery and documentation. Collaborate closely with technical teams to ensure the Data & AI strategy aligns with organizational needs and broader digital transformation goals. Solve complex information, data, and technology challenges by designing solutions that demonstrate measurable value. Manage relationships with key internal stakeholders to improve collaboration and drive operational efficiency. Plan, prioritize, and assign project work to ensure successful, timely execution. Facilitate working groups through interviews, workshops, process mapping, and business analysis activities. Qualifications & Skills Required Qualifications Bachelors degree in Engineering, Data/Computer Science, or a related field (Masters preferred). 3+ years leading AI strategy or executing AI initiatives in mid-to-large organizations. 5+ years working in or with engineering, design, or construction organizations. 2+ years hands-on experience with Microsoft Azure AI and storage tools. Strong proficiency with Microsoft 365 (Word, Excel, PowerPoint) and Adobe Acrobat Pro. Exceptional analytical, communication, and conceptual thinking skills. Ability to manage multiple priorities, meet deadlines, and operate independently. Preferred Qualifications Experience with additional AI platforms or tools. Experience in large-scale digital transformation or enterprise architecture. About Us At Red Hill Consulting LLC, we are more than just consultantswe are problem solvers, innovators, and strategic partners. With expertise in IT, governance, risk management, compliance, and business transformation, we help organizations navigate complexity and drive meaningful change. Our team specializes in delivering tailored, high-impact solutions that empower businesses to optimize processes, enhance security, and leverage data-driven insights. Whether it's implementing cutting-edge technology, refining operational strategies, or ensuring regulatory compliance, we take a proactive, hands-on approach to solving challenges. Rooted in our core values of Integrity, Innovation, and Excellence, we foster a collaborative environment where expertise meets execution. Our clients span industries such as finance, healthcare, government, and technology, and we pride ourselves on delivering measurable results that drive sustainable success.

Part of the Brandtech Group, fifty-five is a global data company with 300+ employees. We help brands collect, analyze and activate their data across paid, earned and owned media channels to increase their marketing ROI and improve customer acquisition and retention. Headquartered in Paris with offices all around the world, the data company was named by Forbes and Statista as one of the Best Consulting Firms in 2024. Role You will join our New York City consulting team as well as our global team of Data Science experts, supporting projects in marketing analytics, data science, measurement and reporting initiatives. You will bring your data marketing and your data science expertise to the team and work with other consultants and technical experts to develop world-leading solutions for our clients. Responsibilities: As a Data Marketing & Data Science Consultant, you will leverage your business and technical skills to perform various tasks for our clients: Understand our clients' data marketing needs, transform them into actionable solutions, and oversee their implementations Synthesize detailed data and information, and communicate key insights and technical concepts to stakeholders of different disciplines, both internally at 55 and externally with our clients Collaborate with 55's data scientists and engineers to scope and check machine learning and AI project requirements Develop and adapt data science solutions using a mix of programming and analytics skills Help the team develop new business opportunities Profile: Bachelor's or Master's in a relevant degree (Business, Marketing, Computer Science, Mathematics…) 1-4 years of working experience in analytics for digital marketing and/or digital media and/or consulting Proficiency in SQL needed, other data programming languages (Python…) are a plus Experience with data dashboarding (e.g. Tableau, Power BI, Looker Studio) Familiarity with cloud computing platforms, particularly GCP Strong verbal, written and visual communication skills for technical and non-technical audiences, both internal and external Ability to advise on best practices and governance for data science tools and processes, and to document and share knowledge throughout projects Initiative to create innovative solutions for our clients' problems and business objectives related to marketing data Ability to drive next steps and deliverables from initial idea to execution as part of a cross-disciplinary team Ability to learn new concepts and new solutions arising from the ever-changing environment of data marketing We encourage you to apply, even if you don't meet every single qualification listed. Your capacity for growth and a strong desire to learn and evolve are the most critical traits we look for. We're committed to giving you the tools and support you need to make this happen. Benefits: Competitive salary range: $65,000/yr - $100,000/yr based on experience 20 days of PTO, 5 sick days, and generous company holidays (13 in 2025) Benefits eligibility upon hire, including medical, dental, vision and 401K US headquarters in prime NYC neighborhood - SoHo Monthly connectivity stipend Travel opportunities (including to Europe) Introductory training with our global team, and constant support from our internal experts to continually grow your skills and develop new expertise

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. At Pinterest, Shopping is a strategic initiative that aims to help Pinners take action by surfacing the most relevant content, at the right time, in the best user-friendly way. We do this through a combination of innovative product interfaces, and sophisticated recommendation systems. We are looking for a Staff Data Scientist with experience in machine learning and causal inference to help advance Shopping at Pinterest. In your role you will develop methods and models to explain why certain content is being promoted (or not) for a Pinner. You will work in a highly collaborative and cross-functional environment, and be responsible for partnering with Product Managers and Machine Learning Engineers. You are expected to develop a deep understanding of our recommendation system, and generate insights and robust methodologies to answer the "why". The results of your work will influence our development teams, and drive product innovation. What you'll do: * Ensure that our recommendation systems produce trustworthy, high-quality outputs to maximize our Pinner's shopping experience. * Develop robust frameworks, combining online and offline methods, to comprehensively understand the outputs of our recommendations. * Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners. * Work cross-functionally to build relationships, proactively communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. * Relentlessly focus on impact, whether through influencing product strategy, advancing our north star metrics, or improving a critical process. * Mentor and up-level junior data scientists on the team. What we're looking for: * 7+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data. * Strong interest and experience in recommendation systems and causal inference. * Strong quantitative programming (Python/R) and data manipulation skills (SQL/Spark). * Ability to work independently and drive your own projects. * Excellent written and communication skills, and able to explain learnings to both technical and non-technical partners. * A team player eager to partner with cross-functional partners to quickly turn insights into actions. * Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience. In-Office Requirement Statement: * We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. * This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $164,695-$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Responsibilities: • Develop and test Extract, Transformation, and Loading (ETL) modules based on design specifications • Develop and test ETL Mappings in Talend • Plan, test, and deploy ETL mappings, and database code as part of application build process across the enterprise • Provide effective communications with all levels of internal and external customers and staff • Must demonstrate knowledge in the following areas: o Data Integration o Data Architecture o Team Lead experience is a plus • Understand, analyze, assess and recommend ETL environment from technology strategy and operational standpoint • Understand and assess source system data issues and recommend solution from data integration standpoint • Create high level, low level technical design documents for data integration • Design exceptions handling, audit and data resolution processes • Performance tune ETL environment • Conduct proof of concepts • Estimation of work based on functional requirements documents • Identify system deficiencies and recommending solutions • Designing, coding, and writing unit test cases from functional requirements • Delivering efficient and bug-free ETL packages and documentation • Maintenance and support of enterprise ETL jobs • Experience with Talend Hadoop tools is a plus Basic Qualifications: • 3+ years of development experience on Talend ETL tools • 7+ years working with one or more of the following ETL Tools: Talend, Informatica, Ab Initio or Data Stage • 7+ years proficient experience as a developer • Bachelor's Degree in Computer Science or equivalent • Database (Oracle, SQL Server, DB2) • Database Programming (Complex SQL, PL/SQL development knowledge) • Data Modeling • Business Analysis • Top level performer with ability to work independently in short time frames • Proficient working in a Linux environment • Experience in scripting languages (Shell, Python or Perl) • 5+ years of experience deploying large scale projects ETL projects that • 3+ years of experience in a development lead position • Data analysis, data mapping, data loading, and data validation • Understand reusability, parameterization, workflow design, etc. • Thorough understanding of Entire life cycle of Software and various Software Engineering Methodologies • Performance tuning of interfaces that extract, transform and load tens of millions of records • Knowledge of Hadoop ecosystem technologies is a plus Additional Information If you are comfortable with the position and location then please revert me back at the earliest with your updated resume and following details or I would really appreciate if you can call me back on my number. Full Name: Email: Skype id: Contact Nos.: Current Location: Open to relocate: Start Availability: Work Permit: Flexible time for INTERVIEW: Current Company: Current Rate: Expected Rate: Total IT Experience [Years]: Total US Experience [Years]: Key Skill Set: Best time to call: In case you are not interested, I will be very grateful if you can pass this position to your colleagues or friends who might be interested. All your information will be kept confidential according to EEO guidelines.

+ Cloud delivers quality computing at scale to provide universal and unfettered access to information, entertainment, and tools. Cloud drives innovation for end-user computing and offers a simple, secure, smart, and constantly improving, self-healing system for a better modern computing experience. + The Cloud Go-to-market ("GTM") Strategy & Operations team partners closely with GTM leadership across Sales, Channel, BD, and Marketing to tackle high-priority problems such as market segmentation, use case prioritization, sales resourcing, and sales enablement to drive growth. **Responsibilities:** + Support the Commercial cloud GTM business cadence and generating insights related to business performance to support the team. + Lead deep dives: develop, structure and execute analyses required to develop recommendations and communicate findings to senior management. + Automate and maintain business insight reports (collecting insights and information from the sales teams). + Provide weekly insights into business performance and present to senior management. + Maintain and define sales processes, by working with sales and engineering teams. **Experience:** + 4 to 6 years' experience in management consulting, investment banking, corporate strategy, or equivalent project management experience in a technology/media company. + Strong business acumen. + Ability to pay attention to detail while handling multiple, simultaneous projects. + Comfortable working and extracting insights from large sets of data using tools. + Sales Force CRM knowledge. + SQL knowledge. + Strategy and operations experience in tech companies. US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Our data team's mission is to fuel Airtable's growth and operations. We are a strategic enabler, by building high-quality and customer-centric data products and solutions. We are looking for a Data Scientist to work directly with Airtable's business stakeholders. Your data product will be instrumental in accelerating the efficiency of Customer Engagement (CE) organizations including sales, CSG and revenue operations teams. This role offers the opportunity to significantly impact Airtable's strategy and go-to-market execution, providing you with a platform to deploy your data skills in a way that directly contributes to our company's growth and success. What you'll do Champion AI Driven Data Product with Scalability: Design and implement ML models and AI solutions to enable CE team with actionable insights and recommendations. Build scalable data pipelines and automated workflows with MLOps best practices. Support Key Business Processes: Provide strategic insights, repeatable frameworks and thought partnership independently to support key CE business processes like territory carving, annual planning, pricing optimization and performance attribution, etc.. Strategic Analysis: Drive in-depth deep-dive analysis to ensure accuracy and relevance. Influence the business stakeholders with a good story telling of the data. Tackle ambiguous problems to uncover business value with minimal oversight. Develop Executive Dashboards: Design, build, and maintain high-quality dashboards and BI tools. Partner with Revenue Operations team to enable vast roles of CE team efficiently with the data products. Strong Communication Skills: Effectively communicate the “so-what” of an analysis, illustrating how insights can be leveraged to drive business impact across the organization. Who you are Education: Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS), MS/MBA preferred. Industry Experience: 4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting sales, CSG or other go-to-market stakeholders. Demonstrated business acumen with a deep understanding of Enterprise Sales strategies (sales pipeline, forecast models, sales capacity, sales segmentation, quota planning), CSG strategies (customer churn risk model, performance attribution) and Enterprise financial metrics (ACV, ARR, NDR) Familiar with CRM platforms (i.e., Salesforce) Technical Proficiency: 6+ years of experience working with SQL in modern data platforms, such as Databricks, Snowflake, Redshift, BigQuery 6+ years of experience working with Python or R for analytics or data science projects 6+ years of experience building business facing dashboards and data models using modern BI tools like Looker, Tableau, etc. Proficient-level experience developing automated solutions to collect, transform, and clean data from various sources, by using tools such as dbt, Fivetran Proficient knowledge of data science models, such as regression, classification, clustering, time series analysis, and experiment design Hands-on experience with batch LLM pipeline is preferred Excellent communication skills to present findings to both technical and non-technical audiences. Passionate to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful. Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:$179,500-$221,500 USDFor all other work locations (including remote), the base salary range for this role is:$161,500-$199,300 USD Please see our Privacy Notice for details regarding Airtable's collection and use of personal information relating to the application and recruitment process by clicking here. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at ***************. Learn more about avoiding job scams here.