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

DSI Systems Inc., an authorized AT&T partner and premier Dallas-based sales enablement company, is looking for a highly skilled and experienced DOMO Data Architect to join our growing data and analytics team. You'll be responsible for the design, development, implementation, maintenance, and ongoing administration of our Domo platform. This role requires a deep understanding of Domo's capabilities, best practices for data integration and visualization, and strong administrative skills to ensure optimal performance, security, and user experience. You'll also play a key role in collaborating with our external Domo consultants to enhance our platform's capabilities. This is an in-office position that will report to our location in Richardson, Texas. About DSI Founded in 1984, DSI is a family-owned company committed to delivering exceptional value and measurable results to our clients and partners. Our comprehensive services include sales management, marketing support, hardware logistics, immersive training, engineering expertise, and proprietary software solutions—all designed to drive growth and operational efficiency. At DSI, we believe strong relationships are the foundation of lasting success. We serve as a one-stop solution across a range of markets—including mobility, broadband, video, commercial, residential, Lodging & Institutions, and Multi-Dwelling Units—empowering our sales partners to uncover new opportunities and maximize their potential. Key Responsibilities Domo Architecture & Design: Design, develop, test, and maintain robust and scalable Domo solutions, including data pipelines, ETL processes, datasets, dashboards, and reports. Collaborate with stakeholders to understand business requirements and translate them into effective Domo solutions. Define and enforce Domo architectural standards, governance, and best practices. Research and recommend new Domo features and functionalities to enhance platform capabilities. Data Integration & ETL: Design, develop, implement, and manage data connectors and ETL processes to ingest data from various sources into Domo (e.g., databases, APIs, flat files, cloud platforms). Optimize data flows for performance and efficiency. Work with data engineering teams and system administrators to ensure seamless data availability for Domo. Verify, validate and test incoming data for accuracy and completeness. Collaboration & Support: Work closely with business stakeholders, data analysts, data engineers, and IT teams. Provide technical support and guidance to Domo users. Participate in cross-functional projects related to data and analytics initiatives. Act as a key point of contact between our internal team and our external Domo consultants, ensuring clear communication and alignment on project goals and technical specifications. Collaborate effectively with our consulting partners, leveraging their expertise to accelerate development, implement best practices, and troubleshoot complex issues. Verify, validate and test solutions proposed and implemented by consultants, ensuring they meet our internal standards and business requirements. Participate in joint planning sessions and knowledge transfer activities to maximize the value derived from our consulting engagements. Domo Administration & Maintenance (as needed): Administer and manage the Domo instance, including user provisioning, security roles, data governance, and data source connections. Monitor Domo system performance, troubleshoot issues, and implement optimizations for efficiency and reliability. Manage Domo releases, upgrades, and patches. Develop and maintain documentation for Domo architecture, configurations, and administrative procedures. Ensure data quality, integrity, and security within the Domo environment. Qualifications Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related quantitative field. 5+ years of proven experience as a Domo Architect, Administrator, MajorDomo , or a similar role. Deep expertise in Domo platform capabilities, including: Data Connectors: Strong experience connecting to various data sources (SQL databases, APIs, cloud platforms like Azure, etc.). Magic ETL, MySQL, DataFlows: Proficiency in transforming and manipulating data within Domo. Beast Mode & Workbench: Advanced knowledge for calculated fields and data manipulation. Card Builder, Dashboard Design: Expertise in creating effective visualizations and dashboards. Admin Console: In-depth understanding of user management, security roles, governance, and system settings. Adrenaline Engine & Governance: Understanding of Domo's underlying architecture and data governance best practices. Domo Everywhere: Experience integrating dashboards, reports, and data insights directly into other applications, websites, or portals, for both internal and external users. Strong understanding of data warehousing concepts, ETL processes, and data modeling. Proficiency in SQLand Excel. Excellent analytical, problem-solving, and communication skills. Ability to work independently and as part of a team in a fast-paced environment. Proven ability to collaborate effectively with external vendors or consultants. Domo certification(s) a plus. Preferred experience with other BI Tools (e.g., PowerBI, SSRS, Tableau) Preferred experience within the Telecommunications industry or Call Center operations Benefits Medical, Dental, Vision, and Life insurance are available on the first day of the month following your first day of employment – no extended waiting period 401k Plan with employer matching Paid vacation, personal/sick days, and bereavement time Employee Profit Sharing Program 50% AT&T wireless discount Paid training Advancement opportunities, we prefer to promote from within!

PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person’s contributions and ideas are critical to the growth of the company. This is a fully remote position, open to candidates living in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team — including sales, marketers, and financial services experts — who stay connected through Slack, video calls, and regular team and company-wide meetings. We’re a team that knows how to work hard, have fun, and make a meaningful impact—both together and individually. Job Summary We are seeking a candidate with experience as, or applicable to, a Senior Data Engineer role with significant demonstrated experience using Python in a cloud environment to lead the design and implementation of scalable data pipelines that ingest and process data from a variety of external client systems. The Senior Data Engineer is critical in building the data infrastructure that powers Plum’s next-generation AI-driven products. You will work with a modern data stack including Python, Databricks, AWS, Delta Lake, and more. As a senior member of the team, you’ll take ownership of architectural decisions, system design, and production readiness—working with team members to ensure data is reliable, accessible, and impactful. Key Responsibilities Design and architect end-to-end data processing pipelines: ingestion, transformation, and delivery to the Delta Lakehouse. Integrate with external systems (e.g., CRMs, file systems, APIs) to automate ingestion of diverse data sources. Develop robust data workflows using Python and Databricks Workflows. Implement modular, maintainable ETL processes following SDLC best practices and Git-based version control. Contribute to the evolution of our Lakehouse architecture to support downstream analytics and machine learning use cases. Monitor, troubleshoot, and optimize data workflows in production. Collaborate with cross-functional teams to translate data needs into scalable solutions. Requirements Bachelor's Degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience. 2+ years of experience using Python building and maintaining production-grade data pipelines in a cloud environment. Proven expertise in Python and SQL for data engineering tasks. Strong understanding of lakehouse architecture and data modeling concepts. Experience working with Databricks, Delta Lake, and Apache Spark. Hands-on experience with AWS cloud infrastructure. Track record of integrating data from external systems, APIs, and databases. Strong problem-solving skills and ability to lead through ambiguity. Excellent communication and documentation habits. Preferred Qualifications Masters in Computer Science, Engineering, Physics or related field. Experience building data solutions in Fintech, Sales Tech, or Marketing Tech domains. Familiarity with CRM platforms (e.g., Salesforce, HubSpot) and CRM data models. Experience using ETL tools such as Fivetran or Airbyte. Understanding of data governance, security, and compliance best practices. Benefits A fast-paced, collaborative startup culture with high visibility. Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. Opportunity to make a meaningful impact in building a company and culture. Equity in a financial technology startup. Generous health, dental, and vision coverage for employees and family members + 401K. Eleven paid holidays and unlimited discretionary vacation days. Competitive compensation and bonus potential. Interview Process: Plum is an organization who counts on the contributions and ideas from every member of our team. Our interview process may include a phone screen, a video call and a live project. While we understand one may use AI to develop a resume, we expect you to bring your authentic self during our interviews, and we may disqualify candidates who use bots or AI to contribute to their answers. We are looking for not only skill, but also a desire to learn and thrive with Plum. Please advise us of any accommodations you may need prior to your call and we will do all we can to accomodate you. *We are not accepting outreach or resumes from external recruiters or other third party candidates. We are only accepting qualified eligible applicants directly for consideration. Any candidates submitted from agencies or recruiters will be considered a gift.

Who We Are At CloudFactory, we are a mission-driven team passionate about unlocking the disruptive potential of AI for the world. By combining advanced technology with a global network of talented experts, we make unusable data usable and inference reliable and trustworthy, driving real-world business value at scale. More than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do, as we strive to connect one million people to meaningful work and build leaders worth following. Our Culture At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are: Mission-Driven : We focus on creating economic and social impact. People-Centric : We care deeply about our team’s growth, well-being, and sense of belonging. Innovative : We embrace change and find better ways to do things, together. Globally Connected : We foster collaboration between diverse cultures and perspectives. If you’re ready to earn, learn, serve, and be part of a vibrant global community, CloudFactory is your place! About the Role We are seeking a dedicated and motivated Data Capture Technician to operate reality capture equipment, such as 360-degree cameras and other surveying tools, in a variety of environments. The technician will be responsible for capturing comprehensive data of construction sites using different equipment and methodologies that align with algorithmic analysis. We are looking for someone who is hardworking, responsible, and passionate about fieldwork, with the ability to effectively use technology to collect detailed site information. This is a part-time role, requiring one day of work per week. What You'll Do Operate 360° cameras and other surveying equipment to efficiently capture the construction site. Document and communicate the progress of the work being done on-site. Ensure personal safety and the safety of the site and equipment by strictly following all safety protocols and guidelines. Collaborate with the Project Team to adapt to the needs and requirements of each project. Work on a large-scale construction sites in Texas as part of the role. Requirements What We're Looking For: Must Haves Availability for one full weekday (8 to 10 hours) each week Comfort working on active construction sites and in varying outdoor conditions Strong work ethic — dependable, motivated, and committed to high-quality execution Ability to walk long distances and perform physical tasks throughout the day Solid communication skills and demonstrates a strong commitment to safety awareness, including the ability to identify and follow both general and site/client-specific protocols. A positive attitude and willingness to solve problems independently Nice To Have Experience in Construction, Surveying, Civil Engineering, or similar fields Previous fieldwork or site-based work experience Technical orientation or familiarity with equipment (Professional training will be provided to work on construction sites) Why Join Us? Hands-on field experience on large-scale construction projects Training provided — learn real-world reality capture processes Contribute directly to AI-driven innovation in the construction sector Be part of a mission-driven global organization committed to meaningful work

About Us: Panelmatic, Inc. was founded in 1957 in Youngstown, OH to serve manufacturing industries with the design and building of custom electrical, instrument, and pneumatic control panels. Our business has sufficiently grown over the years to support expansion for our clients. We have produced control packages for many of America's top corporations in the chemical, environmental, food, pulp and paper, rubber, petroleum, pharmaceutical, glass, metals, and utilities industries. We also deliver equipment for use worldwide. Our rigorous methodology assures compliance with domestic and international standards. We can meet the needs of our diverse clientele from start to finish through sales, design, fabrication, testing, and delivery. Since 1957, we have been known for our high-quality, custom-built control packages, our comprehensive service, and our technological and manufacturing expertise. This expertise assures you of our ability to handle the largest and most complex packages quickly and efficiently. Job Summary: The Data and Reporting Analyst is responsible for building and maintaining tools and dashboards to support the Panelmatic SIOP process for Demand Planning, Supply Planning, Master Production Scheduling, and Scenario Building. This role coordinates with various departments including Demand Planning, Supply Planning, Sales, Finance, and Operations. Job Duties: Works with Demand Planner to build a monthly demand plan tool using data extracts from Salesforce Opportunities and open backlog from Syteline as well as Budget and Strategic Plan. Works with Demand Planner to create KPI dashboards using Power BI, Tableau or web-based program to report on Forecast Performance metrics. Supports SIOP Director, Demand Planner, and Supply Planner to build scenario tools to review upside and risk to the monthly forecast for sales and operations. Builds automation tools to translate the demand plan to the supply plan using factory allocations, and existing schedule data to create a monthly operations plan for determining labor requirements and capital investment Builds automation tools to simulate and create factory schedules Builds KPI dashboards for supply Minimum Qualifications: Bachelor’s degree in computer science or equivalent 3+ years in data analysis Power BI, SQL Advanced Excel Skills Strong analytical and problem-solving skills. Excellent communication and organizational abilities. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Ability to extra data from ERP/MRP/CRM systems to build tools. · Ability to pass physical, drug, driving, and background check required · Ability to physically push, pull, and lift 50lbs or more required · Ability to stoop and bend required · Ability to sit, stand, and walk for four-plus hours at a time required · Alignment with company core values required ·Top of Form Preferred Qualifications: Knowledge of demand planning, supply planning, production planning, and scheduling Working knowledge of Python or equivalent Experience with Syteline ERP Requirements 3+ years of data analysis and tool automation Experience in building PowerBI dashboards Ability to extract data from ERP/MRP/CRM Ability to communicate effectively Advanced Microsoft Excel skills Benefits Medical, dental, vision, HSA, term life, AD&D, STD, LTD 100% medical premium paid for by Panelmatic for the employee-only level medical coverage 80% paid for by Panelmatic and 20% paid for by the employee on all other level medical coverage (ie employee plus child, employee plus spouse, family) 401K, profit sharing, and ESOP contributions Scholarships, educational reimbursement, paid volunteerism, and paid personal and professional development provided PTO and paid holidays provided Career advancement opportunities Competitive wages Family-friendly environment with average employee tenure above five years

Overview At Credence, we support our clients’ mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for warfighters and secure our nation for a better future. We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. Credence has an immediate opening for a Configuration/Data Management Support at the journeyman level who will be primarily responsible for supporting the Air Force Life Cycle Management Center WAM (AFLCMC/WAM) directorate, F-16 division at WPAFB, OH. F-16 “Viper” AFLCMC/WAM is headquartered at Hill Air Force Base with units located at Wright-Patterson Air Force Base, Tyndall Air Force Base, Eglin Air Force Base, and Davis-Monthan Air Force Base. The F-16 “Viper” is a multi-role fighter jet delivering air-to-air, air-to-ground, and surveillance capabilities for the United States Air Force (USAF) and Coalition Partners. The F-16 program has the largest Foreign Military Sales (FMS) program in U.S. history producing over 4,500 jets for 24 countries. Each F-16 FMS case is uniquely tailored to country requirements / development / funding. Presently, FMS production orders exist through 2030. Additionally, the F-16 program includes the Multi-National Fighter Program (MNFP). MNFP is not a typical FMS program, but a unique, cooperative USAF and development program implemented through the FMS process under the framework of a Memorandum of Understanding (MOU). MNFP began in 1975 with the countries of Belgium, Denmark, the Netherlands, and Norway; Portugal joined in 200. Responsibilities include, but are not limited to the duties listed below: Shall assist to perform CM and DM tasks related to the development, production and support of F-16 weapon systems, subsystems, and related equipment acquired by the USAF for USAF and FMS programs to include the full range of CM, DM, Engineering Data Management (EDM), and DR actions required governing DoD, USAF, AFMC, AFLCMC and program office directives, policies and guidance documents. Shall assist to review program-unique specifications to include system specifications, development specifications and product specifications for both hardware and software, for proper format, content and compliance with program requirements and appropriate standards. Shall assist to process requests for nomenclature and requests for Computer Program Identification Numbers (CPINs) and assist to track the requests through the appropriate government agencies for response back to the customer. Shall assist to accomplish the configuration control function, to include receipt, dissemination, processing, tracking and final disposition of Advanced Change Study Notices (ACSNs), Engineering Change Proposals (ECPs), Contract Change Proposals (CCPs), Requests for Deviation/Waiver (RFD/RFW), DRs, airworthiness directive notes, service actions and notices of deficiency. Shall assist in reviewing change proposals for thoroughness, configuration and DM impacts, and compliance with Government requirements. Will make appropriate recommendations for Government review and disposition and assist in the preparation and conduct of Configuration Control Boards (CCB) and business management boards (or their equivalent). Shall assist in maintaining change proposal files and assist in providing historical information. Shall assist to plan and support the conduct of Functional Configuration Audits (FCA), PCAs, and compliance audits, to include audit planning, auditing hardware and software Configuration Items (CIs), and disposition and tracking of action items and minutes. Shall assist in maintaining configuration status accounting databases and records to reflect the configuration status of baseline documentation and fielded systems and equipment. Shall assist data users and requesters with the selection and tailoring of Data Item Descriptions (DIDs); preparation of one-time and standard DIDs; and filling out DM forms such as CDRL and Contractor Data Requirements Substantiation (AF Form 585). Shall provide support and expertise to the assigned F-16 System Program Office (F-16 SPO) team in organizing and issuing data calls to include drafting of data call letters for Government review and release. Will support the conduct of data reviews to include integrating inputs from program office/IPT members into draft CDRLs, preparing data review documentation, participating in data reviews, drafting data review minutes, and following up on, and maintaining, status of action items. Will support assigned F-16 SPO team in the preparation and maintenance of CDRLs for inclusion in RFPs, contracts, and contract modifications using automated processing systems (e.g. AF Generation, Receiving, Integrated Tracking System). Shall assist to provide, receive, log-in, track, and maintain status of contract data deliverables; maintain electronic and manual DM files and shall provide associated historical information. Shall assist to update and maintain DM files and associated DID files. Shall assist in managing engineering data, to include preparing and maintaining the Engineering Data Management Plan (EDMP), establishing and maintaining an engineering data activity file, and providing technical support in the preparation of and conduct of engineering data guidance conferences and engineering drawing In-Process Reviews (IPRs). Shall assist to manage the DR function, to include receiving, processing and tracking DRs. Shall assist in establishing and maintaining DR and Material Improvement Project (MIP) files and databases. The Contractor shall assist in providing disposition instruction for exhibits. Shall assist in the planning and conduct of MIP Review Board meetings. Shall interface with all levels of engineering, program management, and leadership, including, but not limited to, CM counterparts, engineers, lead and chief engineers, technical experts, PMs, and civilian and military leadership within the F-16 Division, Fighters Directorate, other AFLCMC directorates, AFLCMC headquarters, AFRL, HQ AFMC, ACC, DoD and FMS air forces, prime and subcontractors, and other Government and private sector personnel. Will support various standing F-16 activities and organizations including, but not limited to, the F-16 Consolidated Board, F-16 JMCCT/B, F-16 AB, F-16 CRTs, and F-16 System Safety Groups (e.g. SSG, SSWG, MSTG). Shall support formal and informal F-16 program reviews and meetings including, but not limited to, risk assessments, requirements and design reviews (e.g. SRR, PDR, CDR), PMRs including pre-PMRs, MAT meetings, TIMs, and configuration audits. Requirements Must have at least an active secret clearance. Bachelor’s or Master’s Degree in a related field and at least three (3) years of experience in the respective technical / professional discipline being performed, three (3) of which must be in the DoD OR, seven (7) years of directly related experience with proper certifications as described in the PWS labor category performance requirements, five (5) of which must be in the DoD. In addition, recommend at least three (3) years of DoD acquisition program office CM experience with digital acquisition techniques focus. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development

About Strategic Legal Practices Based in Los Angeles, Strategic Legal Practices is one of the largest litigation firms within California, representing clients in a range of consumer protection and civil litigation matters. Our Firm measures our success by how well our clients do. We are armed with a group of experienced attorneys, led by one of the most successful Lemon Law and Consumer Fraud litigators in California. The best predictor of performance is our record of achievement. We are proud to have successfully helped thousands of clients in their pursuit against car manufacturers. Our success rate is unmatched by any other Firm. Position Summary The Vice President of Data is responsible for building and leading the firm’s data strategy, analytics, and reporting infrastructure to support legal operations, firm leadership, and business growth. This role owns enterprise data systems, reporting, and insights — translating complex data into actionable intelligence for attorneys, leadership, and operational teams. Essential Duties & Responsibilities 1. Data Strategy & Governance Develop and execute a firm-wide data strategy aligned with business goals, growth plans, and operational efficiency. Serve as the senior leader responsible for data architecture, analytics, and reporting across all departments. Establish data priorities that support litigation outcomes, client performance, financial forecasting, and resource allocation. Advise executive leadership using data-driven insights to inform strategic decisions. 2. Engineering Leadership & Execution Lead and scale the Firm’s data infrastructure, analytics platforms, and software systems. Oversee the development of data pipelines, reporting tools, and analytics solutions that drive efficiency and insight. Ensure systems are reliable, scalable, and aligned with long-term technology strategy. Drive delivery of high-quality solutions on time and within scope. 3. Technology Roadmap & Innovation Develop and maintain a forward-looking technology roadmap in collaboration with cross-functional leaders. Identify and implement modern data and cloud architectures (e.g., analytics platforms, automation tools, AI-driven solutions). Evaluate and deploy emerging technologies to improve performance, reduce costs, and enhance scalability. Lead initiatives related to AI agents, analytics automation, and workflow optimization. 4. Team Development & Organizational Design Recruit, mentor, and retain a team of data engineers, analytics professionals, and software specialists. Design organizational structures that support scalability, operational efficiency, and continuous improvement. Foster a culture of accountability, technical excellence, and collaboration. Conduct performance evaluations and support professional development. 5. Cross-Functional Collaboration Partner with business leaders across legal operations, finance, HR, and technology to align data initiatives with firm priorities. Translate complex technical concepts into actionable insights for non-technical stakeholders. Support data-driven decision-making across departments. 6. Operational Excellence & Metrics Monitor and optimize engineering KPIs, infrastructure performance, and data reliability. Improve platform efficiency, reduce redundancy, and manage operational costs. Ensure analytics and reporting solutions meet business needs and support strategic decision-making. 7. AI & Automation Enablement Lead the implementation of AI-driven intelligence and automation to improve productivity and reduce operational burden. Identify opportunities where data and automation can enhance Firm workflows and outcomes. Measure and report the impact of AI and automation initiatives. 8. Data Governance & Quality Establish firm-wide standards for data accuracy, consistency, and ownership. Define data governance processes (naming conventions, access controls, validation rules). Ensure data is secure and appropriately accessible across teams. Partner with Legal, IT, and Compliance teams on privacy and security requirements (without owning legal compliance). Requirements Qualifications Required Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. Extensive experience in data engineering, analytics platforms, and enterprise data systems. Proven leadership experience managing technical teams and complex initiatives. Strong understanding of data governance, security, and compliance. Ability to operate at an executive level while remaining hands-on when needed. Preferred Advanced degree in a related field. Experience in professional services, legal, or regulated environments. Experience implementing AI, automation, or advanced analytics solutions. Compensation: $180,000 - $220,000 per year This role is on site in Century City/Los Angeles Benefits We’re committed to supporting the well-being and success of our team through a robust and thoughtfully designed benefits package, including: 401(k) with Employer Match – Plan for your future with confidence and company support. Health, Dental, and Vision Insurance – Comprehensive coverage to keep you and your family healthy. Short-Term, Long-Term Disability & Life Insurance – Financial protection for life’s unexpected events. Paid Parking – Convenient and covered, so you can focus on your day. Generous Paid Time Off – Ample time to rest, recharge, and take care of personal matters. Employee Referral Program – Earn rewards for introducing talented individuals to our team. Employee Assistance Program (EAP) – Confidential resources for personal and professional support. Employee Discount Program – Access to exclusive savings on a variety of products and services.

Apex Focus Group partners with research organizations, academic institutions, and brands seeking genuine consumer feedback. We connect individuals with flexible remote research opportunities that help shape products, services, and user experiences. Role Overview We’re inviting individuals from all backgrounds, including those searching for data entry clerk roles, to express interest in joining upcoming consumer research studies. These may include online interviews, product evaluations, or feedback sessions - most often conducted remotely. This is a casual, project-based role well suited for individuals looking to participate part-time in research based on availability and profile match. Requirements A smartphone, tablet, or computer with a working camera A stable internet connection Ability to follow written instructions and share thoughtful opinions A valid email address to receive study invitations Benefits Flexible participation - opt in only when studies match your profile Research formats vary and may include focus groups (remote online or in-person), video interviews, product evaluations, or digital feedback sessions No prior data entry clerk experience required - just a willingness to participate Some studies may offer early access to unreleased products or services Compensation is offered for many studies, depending on type If you're interested in being part of research that helps shape real-world decisions, and exploring flexible part-time, remote opportunities, we welcome you to register your interest online today. Important Notice – No Fees Required We never charge any fees to register or participate. Please remain cautious of any message requesting payment to take part in research.

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking an experienced Senior Data Scientist with 6-10 years of expertise to join our team. You will leverage advanced data science techniques, generative AI concepts, and NLP expertise to solve complex business problems and drive measurable impact aligned with our leadership's vision. Key Responsibilities Design and implement data science solutions to address business challenges using advanced problem-solving methodologies and statistical techniques. Develop, train, and deploy machine learning models with a focus on generative AI and large language models (LLMs) Work with text and transcription data to build NLP-based solutions that enhance product capabilities and user experience. Partner with cross-functional teams including engineering, product, and business stakeholders to identify process and workflow gaps, analyze root causes using data science techniques, and architect scalable solutions that drive operational efficiency and business value. Stay at the forefront of AI/NLP advancements and evaluate new algorithms for potential business applications Create comprehensive documentation and present findings to stakeholders, ensuring alignment with organizational objectives Requirements 6-10 years of professional experience as a Data Scientist or in a closely related role Strong Problem -Solving Skills: Demonstrated ability to approach complex business and technical challenges using data science methodologies and statistical techniques Proficiency in Python and SQL: Hands-on experience in writing production-grade code, data manipulation, and querying large databases Expertise in NLP: Proven experience working with text and transcription data, including preprocessing, feature engineering, and model development Generative AI Knowledge : Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications Curiosity and Continuous Learning : Passionate about staying current with emerging trends, research papers, and advancements in NLP and AI Strategic Alignment: Ability to understand organizational vision and strategy, translating it into data-driven initiatives that create positive business impact Strong Communication: Ability to articulate complex technical concepts to both technical and non-technical audiences. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Associate Data Engineer Location: New York, NY, USA Workplace Type: Hybrid About the Role Incedo is seeking a highly motivated and skilled Associate Data Engineer to join our dynamic team. As a Data Engineer, you will play a crucial role in building and maintaining the data systems that convert raw data into usable information for analytics and business decision-making, impacting Fortune 20 customers. You will be responsible for collecting, managing, and transforming raw data into formats accessible to data scientists and business analysts, enabling them to evaluate and optimize business performance. This role requires strong analytical and problem-solving skills, the ability to integrate data from various sources, and a passion for enhancing data quality and reliability. You will collaborate with leaders across the organization to support data-driven business decisions and contribute to the development of innovative data solutions. Key Responsibilities Analyzing and organizing raw data to identify trends and patterns. Developing and maintaining robust and scalable datasets for various analytical purposes. Improving data quality and efficiency through data cleansing and validation techniques. Building and maintaining data systems and pipelines to ensure seamless data flow. Evaluating business needs and objectives to align data engineering efforts with strategic goals. Interpreting trends and patterns in data to provide actionable insights. Conducting complex data analysis and reporting on results to stakeholders. Preparing data for prescriptive and predictive modeling to support advanced analytics. Building algorithms and prototypes to explore new data-driven solutions. Combining raw information from different sources to create consistent, machine-readable formats. Exploring ways to enhance data quality and reliability through innovative techniques. Identifying opportunities for data acquisition to expand the scope of available data. Developing analytical tools and programs to empower data users. Collaborating with data scientists and architects on various projects to deliver comprehensive data solutions. Required Skills & Qualifications Technical expertise with data models, data mining, and segmentation techniques. Strong analytical and problem-solving skills with the ability to work with complex datasets. Hands-on experience with SQL database design and optimization. Proficiency in programming languages such as R and Python for data manipulation and analysis. Bachelor’s Degree in Computer Science, IT, or a related field. Highly motivated with a strong sense of ownership and accountability. Quick learner with a positive attitude and a willingness to embrace new technologies. Genuine team player with excellent communication and collaboration skills. Ability to communicate effectively with both technical and non-technical audiences. Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is a plus. (Inferred) Familiarity with data warehousing concepts and ETL processes. (Inferred) Additional Information This is an excellent opportunity to join a growing team and contribute to impactful data-driven initiatives. Incedo offers a competitive salary, comprehensive benefits, and opportunities for professional development. We are committed to creating a diverse and inclusive work environment where everyone can thrive. The ideal candidate will be passionate about data, eager to learn, and dedicated to delivering high-quality results. This role may require occasional travel to client sites or other Incedo offices.

We’re looking for a Software Engineer who is passionate about building modern, scalable solutions for ingesting and transforming data. This role blends back-end engineering with data pipeline development and is perfect for someone who enjoys designing modular services and bringing structure to complex data environments. As part of our Agile team, you’ll design and develop software products and services that efficiently ingest, process, and manage data from a variety of sources. You’ll play a key role in building robust, reusable APIs and data pipelines that support critical operational and analytical systems. KEY RESPONSIBILITIES  Design and develop scalable backend services and data ingestion solutions.  Perform data modeling, data mapping, and large-scale file manipulation.  Collaborate across disciplines in an Agile environment with minimal supervision.  Drive innovation and process improvement with a hands-on development approach.  Optimize application for maximum speed and scalability. Required Skills: 1. Demonstrated experience developing custom components with Pentaho. 2. Demonstrated experience identifying and validating requirements for Extract, Transform, and Load systems. 3. Demonstrated experience in Python development. 4. Demonstrated experience in integrating new technology stacks into software systems. Desired Skills: • 1. Demonstrated experience with NiFi. • 2. Demonstrated experience with Kafka. • 3. Demonstrated experience with Logstash. • 4. Demonstrated experience with SQL. • 5. Demonstrated experience with building modular systems. • 6. Understanding of the Cyber Security domain. Requirements Active TS/SCI w/ FS Poly required Required Skills: 1. Demonstrated experience developing customer components with Pentaho. • 2. Demonstrated experience identifying and validating requirements for Extract, Transform, and Load systems. • 3. Demonstrated experience in Python development. • 4. Demonstrated experience in integrating new technology stacks into software systems. Benefits Leading Path is an award-winning Information Technology and Management Consulting firm focused on providing solutions in process, technology, and operations to our government and Fortune 500 clients. We offer a professional and family friendly work environment with a strong work-life balance. Leading Path provides a comprehensive and competitive benefits package including fully paid medical/dental/vision premiums, generous PTO, 11 Paid Holidays, 6% 401K contribution, annual training and tuition reimbursement, SPOT Award bonuses, regular team events, opportunities for professional growth and advancement and much more!

$75/hr • 4-8 week Contract US Prefered • Remote • Experienced Financial Data Analyst Equal Parts is a fast-growing, tech-enabled insurance brokerage and acquisition platform based in Austin, TX. We’re building the next-generation infrastructure for independent agencies across the country - combining human expertise with modern data, AI, and operational systems. As we scale, we’re standing up a unified financial reporting engine that powers decision-making across organic growth, acquisitions, and multi-entity accounting. We’re looking for a contract Data/BI Analyst to help us build that foundation. The Engagement (4–8 Weeks) We are seeking an experienced Data Analyst / BI Developer who has hands-on experience working with QuickBooks Online (QBO) data - either through native BI connectors or by connecting through QBO APIs - and who can design clean, user-friendly views on financial data that support leaders across Finance, Operations, and M&A. This is a project-based contract ideal for someone who can quickly understand complex financial structure and deliver high-quality dashboards with minimal oversight. Responsibilities Connect to QuickBooks Online (API or native BI connector) and build a stable data ingestion pipeline Model and clean financial datasets including: Multi-entity expense allocation Cost centers, operating expenses, shared services expense distribution Acquired agency performance + historic financials Build user-facing dashboards showing multi-entity P&L trends Stand up filterable views by agency and region (with user-based access control) Create lightweight documentation for ongoing dashboard maintenance Engagement Details Contract Duration: 4–8 weeks Location: Remote (US preferred) Start Date: Immediate Time Commitment: ~20+ hrs/week Comp: $75/hr or project-based preferred Requirements Strong BI, ETL, SQL + data modeling fundamentals Direct experience connecting QuickBooks Online to a BI tool (connector or API) Strong Experience with multi-entity accounting / financial reporting Experience with Tableau, Power BI, Metabase, Looker Studio, or similar Bonus: experience in insurance / financial services

The Financial Crime Data Scientist combines investigative expertise with advanced data science techniques to identify, assess, and mitigate financial risks, fraud, and emerging cyber-enabled threats. This role will analyze transactional, behavioral, and device-level signals; detect indicators of compromise; identify anomalous activity; and support intelligence integration into Appgate’s Fraud security products. The analyst will collaborate closely with internal product teams and other external intelligence sources to track financial crime patterns (e.g., ransomware operators, malware families, account takeover trends, money mule networks) and translate insights into predictive models, detection rules, and automated workflows . This candidate bridges fraud investigation, data analysis, and technical implementation while working cross-functionally with Product, Engineering, Risk, Marketing, and Operations. Responsibilities Fraud & Threat Intelligence Conduct in-depth investigations into financial crime activity, including transaction fraud, account compromise, synthetic identity, malware-enabled fraud, and ransomware monetization patterns. Monitor intelligence feeds for emerging threat actors, TTPs, botnet activity, phishing kits, malware variants, and monetization schemes. Identify fraud indicators, behavioral patterns, anomalies, and signal correlations across structured and unstructured data sources. Data Analytics & Modeling Collect, clean, engineer, and analyze large datasets using Python, SQL, and cloud-based data platforms. Perform statistical analysis, clustering, anomaly detection, and supervised/unsupervised machine learning to improve predictive fraud scoring. Build prototypes for fraud detection algorithms; partner with data science teams to productionize models. Data Engineering & Automation Build and maintain analytical data pipelines with engineers using tools such as Airflow, dbt, Spark, or similar . Automate data ingestion (APIs, logs, intelligence feeds, enrichment sources) for ongoing fraud monitoring. Create dashboards and visualizations using Tableau, Power BI, Looker, Mode, or similar to communicate findings. Cross-Functional Intelligence Integration Translate fraud intelligence into actionable requirements for product and engineering teams (e.g., detection rules, model features, new risk signals). Collaborate with marketing and customer-facing teams to prepare intelligence briefs, threat summaries, and fraud trend reports. Produce fraud loss metrics, risk scoring insights, and performance evaluations of prevention tools. Security & Compliance Maintain strict confidentiality and follow handling protocols for sensitive data, PII, and regulated financial information. Stay current on fraud trends, sanctions, AML regulations, and industry standards. Required Qualifications Bachelors/Masters degree in Data Science, Applied Statistics, Digital Forensics, Financial Engineering, Criminology, Computer Science, Cybersecurity, or relevant field; or equivalent experience. 1–3+ years in fraud detection, threat intelligence, financial crime investigations, cyber threat analysis, or risk operations. Strong proficiency in: SQL for data extraction and manipulation Python (pandas, NumPy, scikit-learn) for data analysis Data visualization tools (Tableau, Power BI, Looker, etc.) Familiarity with machine learning concepts , anomaly detection, statistics, and predictive modeling. Experience with fraud platforms, case management systems, device intelligence, or behavioral analytics systems. Demonstrated investigative mindset with excellent documentation and communication skills. Preferred / Nice-to-Have Technical Skills Experience with big data technologies (Spark, Databricks, Snowflake). Knowledge of fraud-specific data sources : device fingerprinting, behavioral biometrics, geolocation, IP intelligence, OSINT, malware intel feeds. Familiarity with malware families, attack chains, and cyber threat intelligence frameworks such as MITRE ATT&CK . Exposure to API-based integrations , data enrichment pipelines, and log analysis. Understanding of risk scoring systems , rules engines, or real-time decisioning platforms. Experience with AML, KYC, BSA, sanctions screening, or cryptocurrency tracing tools. Key Competencies Analytical and critical thinking Statistical and machine learning literacy Effective communication and storytelling with data Investigative rigor and attention to detail Cross-functional collaboration Integrity and confidentiality Strong problem-solving and decision-making skills Appgate is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. In furtherance of Appgate’s policy regarding affirmative action and equal employment opportunity, Appgate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company’s EEO Coordinator.

PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person’s contributions and ideas are critical to the growth of the company. This is a fully remote position, open to candidates anywhere in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team — including sales, marketers, and financial services experts — who stay connected through Slack, video calls, and regular team and company-wide meetings. We’re a team that knows how to work hard, have fun, and make a meaningful impact—both together and individually. Job Summary We are looking for a Senior Data Scientist to lead the development of scalable Generative AI pipelines that process raw data and generate context-aware results to power Plum’s AI-driven products. You will play a central role in shaping our GenAI platform, working across the full ML lifecycle—from ingestion and retrieval to generation, evaluation, and deployment. This role combines deep expertise in machine learning with hands-on experience in building production-grade systems. You’ll collaborate closely with various cross functional teams and operate in a fast-paced environment where innovation, autonomy, and ownership are key. Key Responsibilities Design and architect end-to-end Generative AI pipelines using LLMs to process and generate context-aware results. Integrate open-source and proprietary LLMs (e.g., GPT, LLaMA) via APIs and custom orchestration. Build and optimize workflows using frameworks such as LangChain Design and implement RAG (Retrieval-Augmented Generation) architecture to inject relevant, contextual data into generation prompts. Develop robust methods to evaluate and compare LLM outputs based on relevance, personalization, and factual accuracy. Build automated and scalable LLM evaluation pipelines using embedding-based similarity, scoring metrics, and human-in-the-loop feedback. Implement monitoring, observability, and logging for GenAI workflows to ensure reliability in production. Collaborate with cross-functional teams to integrate generative outputs into client-facing applications. Requirements Master’s degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience. 3+ years of experience developing and deploying machine learning pipelines in production. 1+ years of experience building Generative AI or LLM-based applications. Strong programming skills in Python, with hands-on experience in ML/AI frameworks (e.g., LangChain, Transformers, LLM APIs). Deep understanding of LLM evaluation, prompt engineering, and text generation quality metrics. Experience designing and implementing RAG architectures. Hands-on experience with Databricks, MLflow, or similar platforms. Experience with cloud infrastructure (AWS preferred) and MLOps practices for deploying and maintaining models in production. Strong problem-solving skills and ability to lead through ambiguity. Excellent communication and documentation habits. Preferred Qualifications Prior experience using Generative AI in Fintech, Sales Tech, or Marketing Tech domains. Experience with agentic frameworks such as LangGraph, AutoGPT, or CrewAI. Familiarity with fine-tuning or custom instruction tuning of LLMs. Understanding of data privacy and compliance implications when working with client data and GenAI systems. Benefits Benefits and Compensation A fast-paced, collaborative startup culture with high visibility. Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. Opportunity to make a meaningful impact in building a company and culture. Equity in a financial technology startup. Generous health, dental, and vision coverage for employees and family members + 401K. Eleven paid holidays and unlimited discretionary vacation days. Competitive compensation and bonus potential.

Apex Focus Group partners with research organizations, academic institutions, and brands seeking genuine consumer feedback. We connect individuals with flexible remote research opportunities that help shape products, services, and user experiences. Role Overview We’re inviting individuals from all backgrounds, including those searching for data entry clerk roles, to express interest in joining upcoming consumer research studies. These may include online interviews, product evaluations, or feedback sessions - most often conducted remotely. This is a casual, project-based role well suited for individuals looking to participate part-time in research based on availability and profile match. Requirements A smartphone, tablet, or computer with a working camera A stable internet connection Ability to follow written instructions and share thoughtful opinions A valid email address to receive study invitations Benefits Flexible participation - opt in only when studies match your profile Research formats vary and may include focus groups (remote online or in-person), video interviews, product evaluations, or digital feedback sessions No prior data entry clerk experience required - just a willingness to participate Some studies may offer early access to unreleased products or services Compensation is offered for many studies, depending on type If you're interested in being part of research that helps shape real-world decisions, and exploring flexible part-time, remote opportunities, we welcome you to register your interest online today. Important Notice – No Fees Required We never charge any fees to register or participate. Please remain cautious of any message requesting payment to take part in research.

Apex Focus Group partners with research organizations, academic institutions, and brands seeking genuine consumer feedback. We connect individuals with flexible remote research opportunities that help shape products, services, and user experiences. Role Overview We’re inviting individuals from all backgrounds, including those searching for data entry clerk roles, to express interest in joining upcoming consumer research studies. These may include online interviews, product evaluations, or feedback sessions - most often conducted remotely. This is a casual, project-based role well suited for individuals looking to participate part-time in research based on availability and profile match. Requirements A smartphone, tablet, or computer with a working camera A stable internet connection Ability to follow written instructions and share thoughtful opinions A valid email address to receive study invitations Benefits Flexible participation - opt in only when studies match your profile Research formats vary and may include focus groups (remote online or in-person), video interviews, product evaluations, or digital feedback sessions No prior data entry clerk experience required - just a willingness to participate Some studies may offer early access to unreleased products or services Compensation is offered for many studies, depending on type If you're interested in being part of research that helps shape real-world decisions, and exploring flexible part-time, remote opportunities, we welcome you to register your interest online today. Important Notice – No Fees Required We never charge any fees to register or participate. Please remain cautious of any message requesting payment to take part in research.

Position: Data Analyst Location: Glen Allen, VA Type: Contract Rate: $Open Responsibilities: · Develops, tests and maintains code using software development methodology and appropriate technologies for the system being used. · Works closely with Business Analysts to develop detail systems design and written test plans for online and report application programs. · Performs analysis on projects and provides a project plan that shows the tasks needing to be completed and a time estimate for each task. · Participates in design walkthroughs with appropriate focus groups and related users to verify accuracy of design in meeting business needs. · Prepares installation instructions and coordinates installation procedures. · Supports and troubleshoots application code problems. · Provides status reports that give a detailed description of the current projects progress and indicates time devoted to each task of the project. · Coordinates, guides and mentors programming efforts performed by in-house programmers or outside consultants to ensure that all programming is completed according to the project plan. Requirements Required Skills (At least 3 from the list) : Informatica Power Center (10.1) Oracle PL/SQL Unix/Linux shell scripting Perl Java Full stack Preferred, but not required: SnapLogic Cloud architectures AWS Python Benefits Note: If interested please send your updated resume to ganesan.raju@two95intl.com and include your salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.

Royalty Staffing is hiring for attentive and detail-oriented drivers to join our client’s team of Autonomous Vehicle Safety Drivers . In this role, you will be at the forefront of autonomous vehicle testing, contributing to the advancement of cutting-edge technology while ensuring the highest safety standards. This position is ideal for those with excellent driving skills, a passion for innovation, and an ability to act swiftly and safely in potentially adverse driving situations. Location – Dallas, TX, United States Work environment - Onsite Pay rate - $24 to $26 USD Per Hour Schedule - 2:30PM-11:00PM Assignment length - 1 year contract As a Safety Driver, you'll: Operate autonomous vehicles safely and lawfully to collect critical data on system performance and environmental factors. Interact professionally with riders, engineers, and company operations leaders to provide feedback and insights. Monitor vehicle performance and conduct in-field testing to ensure operational safety. Prepare vehicles daily for in-field operations, including safety checks and system readiness. Submit detailed reports to support system advancements and operational improvements. Be prepared for the actions of other drivers and pedestrians as well as for unexpected events. Be alert and distraction free while in vehicles. Requirements Experience as an autonomous vehicle operator, driving instructor, motorsports racer, or other profession requiring a commitment to safety and excellent driving skills. A valid US driving license for the last 3+ years Must have a clean driving record with no DUIs, drug, and/or alcohol-related offenses within the last 5 years Able to anticipate hazardous situations and act quickly and safely, despite adverse conditions or the mistakes of others when operating a motor vehicle. Have a thorough knowledge of local traffic regulations Excellent communication skills and a strong attention to detail A willingness to work in various weather conditions and comfortable driving on different types of roads Takes ownership with a high level of responsibility Preferred Qualifications: Knowledge of vehicle technology and control systems Certification from safe driving or defensive driving courses Additional courses in Safety Driving or Defensive Driving Benefits Pre-tax commuter benefits Employer Subsidized Healthcare Benefits Flexible Spending Account for healthcare-related costs Employer covers all costs for short and long-term disability and life insurance 401k package

Trexquant is seeking a highly skilled Senior Data Architect to design and lead the next-generation architecture for our research and simulation data ecosystem. This role is central to unifying Trexquant’s extensive collection of datasets—sourced from hundreds of vendors—into an accessible, efficient, and scalable data platform that supports simulation, research, and alpha generation across multiple asset classes. The successful candidate will architect the end-to-end data infrastructure that enables researchers and simulators to seamlessly discover, query, and combine datasets across equities, futures, FX, ETFs, corporate bonds, and options. This person will design data models, storage systems, and researcher-facing interfaces that make it easy to transform raw vendor data into structured, analysis-ready forms—empowering systematic research and robust backtesting. Responsibilities Architect and implement a unified data platform that integrates hundreds of vendor datasets, providing consistent, accessible, and high-quality data to simulators and researchers. Design efficient storage and retrieval systems to support both large-scale historical backtesting and high-frequency research workflows. Develop intuitive researcher interfaces and APIs that allow users to easily discover variables, explore metadata, and assemble data into standardized stocks × values matrices for rapid hypothesis testing. Collaborate closely with quantitative researchers and simulation teams to understand their workflows, ensuring the data platform meets real-world analytical and performance needs. Establish best practices for data modeling, normalization, versioning, and quality control across asset classes and data vendors. Work with infrastructure and DevOps teams to optimize data pipelines, caching, and distributed storage for scalability and reliability. Prototype and deploy internal data applications that enhance research productivity and data transparency. Mentor and guide data engineers to maintain robust, maintainable, and well-documented data systems. Requirements 7+ years of experience in data architecture, quantitative research infrastructure, or large-scale data engineering in a financial or research-driven environment. Proven experience designing and implementing scalable data storage solutions (e.g., columnar databases, time-series systems, object stores, or data lakes). Strong proficiency in Python and familiarity with modern data stack technologies (e.g., Parquet, Arrow, Spark, SQL/NoSQL, distributed file systems). Deep understanding of time-series and financial data modeling, including handling multiple vendors, instruments, and frequencies. Experience building data interfaces, APIs, or tools that serve researchers, data scientists, or quantitative analysts. Ability to translate research needs into efficient data schemas and access patterns. Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field. Strong collaboration, communication, and documentation skills. Familiarity with cloud-based architectures (e.g., AWS, GCP, Azure) and modern data governance practices is a plus. Benefits Competitive salary plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment. PPO health, dental, and vision insurance premiums fully covered for you and your dependents. Pre-tax commuter benefits. Weekly company meals. Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary range is $175,000 - $200,000 depending on the candidate’s educational and professional background. Base salary is one component of Trexquant’s total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.

At Mod Op, we’re reimagining the future of marketing by fusing creativity, technology, and intelligence to transform how work gets done and the value clients receive. Our AI & Innovation Team builds AI-enabled platforms and agentic systems that automate, optimize, and evolve the marketing process—from creative development to media execution to performance analytics. This position supports the identity and security management of Mod Op innovation technology platforms, manages and audits access controls across Google Cloud & Innovation Services, ensuring secure, compliant, and efficient data operations. The role oversees role assignments, enforces data governance policies, investigates access incidents, and collaborates with cross-functional teams to align IAM strategies with business and innovation goals. Responsibilities Role & Permission Management · Create, assign, and manage IAM roles and service accounts for Data Senders, Data Auditors and Data Users. This includes creating service accounts for automated processes and ensuring proper role bindings to maintain security and operational efficiency. · Manage permissions for resources like Cloud Storage (Cloud Bucket), BigQuery, Vertex AI, Cloud Function, Cloud Scheduler, Logs, and proprietary Innovation Apps. · Regularly audit IAM policies; identify misconfigurations, redundant permissions, and potential security gaps. Ensure compliance with organizational standards and regulatory requirements by maintaining accurate audit trails. Data Governance & Compliance · Apply organizational policies for data access, encryption, and retention. Enforce policies that govern how data is accessed, encrypted, and stored. · Act as a point of contact for internal teams requesting access changes or troubleshooting permission issues. Provide timely resolutions while maintaining security standards. · Generate and maintain detailed reports on user and service account access to support least-privilege compliance. Monitoring & Incident Response · Investigate and resolve incidents related to role misconfigurations or unauthorized access. Monitor IAM logs and alerts for suspicious activity. When incidents occur, perform root cause analysis, remediate misconfigurations, and implement preventive measures to avoid recurrence. Collaboration Scope · Collaborate with Data Governance, Innovation, and Account Management teams to align IAM strategies with business objectives. Ensure access control strategies align with business needs. · Provide technical insights to support data-driven innovation initiatives securely. Advise on best practices for integrating IAM into new projects, ensuring that emerging technologies and AI-driven platforms adhere to security and compliance standards. Requirements · 5+ years of experience in IAM administration, cloud security, or related IT security roles. · Proficiency in Identity and Access Management (IAM) concepts IAM expertise, including (but not limited to): o roles/owner, roles/editor, roles/viewer (and custom roles) o roles/resourcemanager.organizationAdmin o roles/iam.securityAdmin o roles/storage.admin o roles/bigquery.admin o roles/aiplatform.admin o roles/run.admin o roles/iam.serviceAccountUser o roles/cloudscheduler.admin o roles/logging.viewer · Prior experience in environments leveraging AI-driven platforms or innovation-focused technologies is a plus. · Google Cloud IAM or Security Certification (e.g., Professional Cloud Security Engineer). · CISSP, CISM, or similar security certifications for broader security governance expertise. · Hands-on experience managing access controls and troubleshooting permission issues. · Knowledge of data security principles , encryption methods, and retention policies. · Familiarity with privacy compliance frameworks and governance best practices. · Prior experience with security monitoring tools and IAM logs for detecting suspicious activity. · Experience auditing IAM policies, identify misconfigurations, and ensure compliance with organizational and regulatory standards (e.g., GDPR, CCPA). · Excellent communication skills to translate technical requirements into actionable insights for non-technical stakeholders. Benefits Health and Life Insurance for employees and family, access to Vision benefits, Telemedicine services, Psychology support and others. On the job training and career growth opportunities. Access to LinkedIn courses. Hybrid schedule job. Talented team environment, collaborative offices, fun company culture with a great balance of work and play. Vacations are granted by day or weeks according to employee approved request. Salary with yearly review and competitive benefits. Competitive compensation based on experience and skill set. When asked what they love about working at Mod Op, we hear: “I feel I can be myself at work and it’s fun!” -MV “The caliber of the clients/brands we work with, knowing your work is seen by thousands of people, in many cases across the world.” -JC “We actually create videogames!” -AC “We have an all-star team, and it’s like playing in the pro-bowl every day!” -MW “Opportunities to always learn from and work with the best and the brightest.” HW “Mentors and opportunities for growth.” -KB Mod Op, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.