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

About Probably Genetic Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible. We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it. Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity. About the role We’re looking for our Founding Data Engineer who’s excited to help shape the future of how we use data to make better decisions and improve patient lives. In this role, you’ll establish our data engineering architecture and build the pipelines that power both internal insights and our commercial data products. Your work will help drive clarity, impact, and growth across the company. What you will do Partner closely with the Head of Engineering and Head of Product to turn complex data challenges into elegant, scalable solutions Build reliable, maintainable infrastructure in AWS using Terraform to support our growing data needs Design data tables and pipelines that serve the unique needs of our customers and internal teams Implement best-in-class data pipelines with observability built in from day one Analyze and visualize data in BI tools to enable informed business decisions and deliver tailored insights to customers Share your work and impact across teams — presenting results, learning from feedback, and continuously improving Who you are We’re excited to meet candidates from all backgrounds who are eager to learn, grow, and make an impact. Here are a few things that will help you thrive in this role: A proven ability to translate complex information into clear, actionable insights — and to collaborate effectively across teams Fluency with Python, SQL, and other relevant technologies Experience building advanced data infrastructure in AWS using Terraform Strong analytical thinking and hands-on experience with data visualization tools Some things that are not required, but you could learn on the job: Working with healthcare data standards (including HL7, FHIR, OMOP, and HPO) Understanding marketing data from platforms like Google and Meta Deepening your expertise in HIPAA compliance and data security best practices As with all new hires at Probably Genetic, you will also need to be: A good person. We work with some of the most marginalized populations on the planet and empathy is key Patient-focused and motivated to have a lasting, positive impact on humanity Comfortable in a fast-paced, often ambiguous environment with rapid change Action-oriented and excited to build a company from the ground up The salary range for this role is $150,000-$190,000 annually. Actual compensation offered will depend on several factors including but not limited to: work experience, education, skill level, and/or other business and organizational needs. This is a hybrid role that will requires working on-site 3 days a week (Tuesday, Wednesday, Thursday) in San Francisco. Local candidates only. Relocation is not currently offered for this role. What we offer at Probably Genetic: An engaging and supportive team all on a mission to improve lives Fair and equitable compensation with competitive early-stage equity grants Generous Flexible Time off policy, that we actually use Parental Leave Benefits (12 weeks for both birthing and non-birthing) Hybrid, flexible work with high-trust and autonomy A bright, inviting, pet-friendly office in Downtown SF near transit A “work from anywhere” policy, up to 4 weeks a year Regular team retreats in exciting destinations Health Benefits including medical, dental, vision, therapy, FSA, and 401k And so much more! Probably Genetic is committed to fostering a welcoming and inclusive work environment for people of all genders, sexuality, ethnicity, socioeconomic background and life experiences. We urge candidates of all backgrounds to apply. If you require specific accommodations as you interview or consider working with us, please let us know.

Description Client: TFS Job Title: Data Administrator (DBA) - Domain Services & Cloud Migration Location: Plano TX Responsibilities: We are seeking a skilled and proactive Database Administrator (DBA) with 10+ years of experience to design, implement, and manage databases for domain services that serve as Systems of Record. The role involves overseeing the migration of 20 million records from legacy systems, ensuring high availability, consistency, and scalability in a cloud-deployed distributed environment. Key Responsibilities: Database Design & Architecture: Design robust, scalable, and secure databases for domain services acting as Systems of Record. Define data models, indexing strategies, and partitioning for optimal performance. Data Migration: Lead the migration of ~20 million records from legacy systems to new cloud-based services. Ensure data integrity, consistency, and minimal downtime during migration. Database Management: Maintain and monitor database performance, availability, and reliability. Implement backup, recovery, and disaster recovery strategies. Cloud Deployment & Management: Manage databases deployed in cloud environments (e.g., AWS, Azure, GCP). Optimize cloud resources and ensure cost-effective database operations. High Availability & Consistency: Implement replication, clustering, and failover mechanisms. Ensure ACID compliance and data consistency across distributed systems. Security & Compliance: Enforce data security policies, access controls, and compliance standards. Conduct regular audits and vulnerability assessments. Qualifications: 10+ years of experience. Proven experience in database design, administration, and migration projects. Strong knowledge of relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Hands-on experience with cloud platforms and database services (e.g., RDS, Cloud SQL). Proficiency in data migration tools and scripting (e.g., Python, SQL, ETL frameworks). Understanding of distributed systems, CAP theorem, and consistency models. Excellent problem-solving and communication skills. Preferred: Experience with microservices architecture and domain-driven design. Familiarity with DevOps practices and CI/CD pipelines for database deployments. Certifications in cloud technologies or database administration.

We are a product-focused organization that dreams big and achieves those dreams. Our customers are large players in the construction industry. This is an opportunity to be part of a nimble team where every individual becomes an expert in their area. We work fast, iterate quickly, and create a product that transforms how our customers work through AI. This is the place for you if you’ve worked in a role at the intersection of AI, data analytics, construction tech, construction management, and innovative technology—and you’re looking for the next leap in your career. We’re a growing company backed by Primary Ventures, LDV Capital, Pear VC, and other top investors. You will work directly with the CEO and our customers—large organizations that own and operate hospitals, universities, and public infrastructure. You’ll have the opportunity to shape our data strategy by exploring various data sources and datasets, running exploratory AI models, and providing analytics that support customer decisions. This is a unique chance to join early and shape your career with Gryps. Must Haves Have an undergraduate or Master’s degree in a quantitative field (e.g., mathematics, engineering, statistics, or similar) or construction management 2+ years of work experience involving quantitative data analysis and complex problem-solving in construction Proficiency in SQL and Python, along with experience using Quicksight, Power BI, Tableau, Jupyter Notebook, or other data visualization and exploration tools Have 2+ years of construction industry experience Possess excellent interpersonal and communication skills Are curious, a great listener, and enjoy working with customers to find data-driven ways to support decision-making You would love your job if you: Are customer-obsessed and love helping people apply AI in their workflows Are looking to join a small team and grow with it Get excited by creating new processes, working with data, and innovating data applications Are intrigued by how AI and RPA will change the construction industry Love collaborating across teams to solve problems Want to grow your career in customer success, data analytics, data science, or machine learning Are passionate about disrupting the construction industry with technology Are a fast learner or have a deep understanding of technology systems in the construction industry Love working with data to uncover patterns and insights What you'll be doing: Understanding customer decision-making and identifying data that can influence those decisions Analyzing data structures from construction systems or public data sources Setting up customer dashboards, reconfiguring business processes, or leading whiteboard sessions to map out customer data use Identifying and proposing potential data sources that could support customer decision-making Consulting with customers on how to leverage their data via the Gryps platform Documenting data workflows, data policies, structures, standards, and procedures for customer systems Developing and running advanced descriptive, predictive, and prescriptive analytics using Jupyter Notebook and Python Gathering feedback on current Gryps use cases and identifying new opportunities We recognize you as an early joiner by: Competitive compensation Flexible paid time off Medical, dental, and vision benefits Flexible career path Direct influence on our product and company roadmap About the Company Gryps is a NYC-based, VC-backed early-stage startup on a mission to revolutionize the $10T construction industry by transforming the way data and knowledge are consumed by construction decision-makers. Our Robotic Process Automation and AI-powered platform sets Gryps apart by automatically ingesting, understanding, and augmenting construction data—delivering actionable insights through intelligent applications. Our products have already transformed operations for top hospitals and developers by streamlining construction processes. At Gryps, we foster a culture of innovation, where brilliant minds collaborate to solve complex challenges. Our diverse team of talented engineers and industry experts drives our continuous pursuit of excellence. With an ambitious product roadmap and fresh funding to fuel our growth, Gryps is poised to transform the construction industry. To achieve this vision, we are seeking exceptional professionals to join our dynamic team and help bring our revolutionary ideas to life. Join Gryps today and be a part of reshaping a $10T industry!

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine. Here’s a collection of articles about our product, mission, recent funding round, etc. Job Description We’re hiring our first Forward Deploy Data Scientist. You’ll work directly with customers and internal teams to translate messy healthcare data into actionable insights and machine learning–ready pipelines. You’ll work hand-in-hand with our world-class ML and broader engineering team, as well as our product and customer success teams. You’ll partner with our health systems & hospital IT/data teams, as well as internal Customer Success Managers, product managers and software engineers to validate data pipelines, share insights, and ensure our solutions deliver measurable value in clinical and operational workflows. This is a hands-on, high-impact role—ideal for someone who loves working with data, solving ambiguous problems, and collaborating across technical and non-technical stakeholders. What you'll do: Partner directly with health systems and hospital customers to understand their data, workflows, and goals, sharing data insights that enable our customers to understand our product value and areas of opportunity. Design and execute data and ML investigations— validating, and transforming large structured and unstructured healthcare datasets with state of the art models to ensure accuracy and trustworthiness. Deploy, build, and operationalize ML and LLM-based models and analytics pipelines in collaboration with the broader engineering and product teams. Work hand-in-hand with customer success and product teams to understand and improve user engagement through data-driven analyses. Communicate results and insights clearly to technical, product, and clinical stakeholders. Build reusable playbooks, tools, and best practices to accelerate future implementations and improve customer outcomes. Stay current on emerging ML, NLP, and healthcare data technologies and proactively apply them to real-world clinical problems. Contribute to a culture of collaboration, innovation, and rigor across the data science and product teams. We look for: 2-3 years of professional experience in data science (a proven track record of successful projects in healthcare or clinical applications is a bonus, but not required). A strong communicator who thrives in a customer-focused, fast-paced environment - must be comfortable presenting to external customers and have a partnered/strategic mindset. Strong programming skills in Python, and fluency with modern data science and ML/NLP libraries (PyTorch, Tensorflow, HuggingFace, etc.). Experience with ML Ops tools (Airflow, MLflow, dbt, Docker, or cloud ML platforms). Familiarity with modern applied LLM techniques and their practical implementations (any experience using these techniques is a bonus). Deep fluency and instincts for data manipulation, treatment, and evaluation, with the ability to wrangle large, complex datasets efficiently and methodically. Proactive mindset to identify and solve problems, continuously improving our data science capabilities. An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team. Willingness to be hybrid with our team in either our Boston or NYC office 2-3 days per week Nice to have: Familiarity with Epic, Cerner, or other EHR systems. Experience in forward deploy, field data science, or consulting-style roles. Background in AI/ML for healthcare, clinical analytics, or real-world data. Expected compensation range for this role is $130,000 - 150,000. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. Join us and help us transform healthcare with AI. Layer Health is committed to foster an environment of inclusion that is free from discrimination. We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. 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 other characteristic protected by law.

Environmental Science Expert - $90/hr Remote - Alignerr - Location: Remote About the job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. Organization : Alignerr Position : Environmental Science Expert (Masters/PhDs) Type : Hourly Contract Compensation : $75–$90 /hour Location : Remote Commitment : 10–40 hours/week Role Responsibilities (Training support will be provided) - Develop, solve, and review advanced environmental science problems with real-world relevance. - Apply expertise in climate modeling, ecology, sustainability, or related areas to design complex problem statements. - Collaborate asynchronously with AI researchers and domain experts to enhance AI model reasoning. - Ensure scientific rigor, clarity, and depth across all deliverables. Requirements - Master’s or PhD in Environmental Science or a related field from a top U.S. university (or equivalent). - Experience coding in Python or R for research or projects. - Strong expertise in climate modeling, ecology, or sustainability. - Exceptional written and verbal communication skills with strong attention to detail. - Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia. Preferred : - Prior experience with data annotation, data quality, or evaluation systems Application Process (Takes 15-20 min) - Submit your resume - Complete a short screening - Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. $75 - $90 an hour

We are seeking a hands-on and detail-oriented Warehouse and Data Center Technician to join our field operations team. This role is responsible for the safe and efficient teardown, removal, and sorting of telecom equipment from decommissioned sites such as data centers, cell towers, and central offices. The position requires travel to job sites across multiple regions. Pay range for this job is $18 - $21/hour. We offer a great benefit package: *Paid weekly *Health, Life, Dental and Vision Insurance *40k with company match *Paid training and travel *Much, much more! SUPERVISORY RESPONSIBILITIES: Not Applicable ESSENTIAL FUNCTIONS: Decommission and disassemble telecom systems and infrastructure at client locations ensuring that quality standards are maintained. Remove, sort, and palletize telecom and network equipment for reuse, recycling, or disposal Label, inventory, and document removed materials following established protocols Use hand tools and power tools to perform dismantling and equipment removal Ensure proper handling of sensitive or hazardous materials in accordance with safety guidelines Load and transport equipment and materials to designated facilities to meet customer delivery requirements. Maintain accurate project records and submit required field documentation and photos Work closely with project personnel and site contacts to ensure timelines and expectations are met Follow all safety procedures and site-specific policies while on location Perform routine maintenance and upkeep of assigned tools, vehicles, and equipment Truck loads following safety standards and local regulations. Attend safety meetings and uphold safety regulations. OTHER DUTIES/RESPONSIBILITIES Maintaining a clean and organized work environment Collaborating on continuous improvement projects related to operational efficiency, safety, and management systems Track, record, and report work/goals progress REQUIRED SKILLS/ABILITIES Excellent organizational skills to manage inventory records and storage areas effectively. Proficiency in using inventory management software and tools. Ability to work collaboratively with cross-functional teams to achieve inventory goals. Knowledge of shipping/receiving processes and best practices. Solid understanding of telecommunication electronic components and peripheral hardware. Willingness to work hard and stay motivated. Excellent attendance record. Excellent organizational skills, attention to detail and time management skills Proven experience in electronics disassembly, sorting, or recycling processes, preferably with telecommunications electronics. Solid understanding of electronic components, their functionalities, and identification. Familiarity with relevant tools and equipment used in electronics disassembly and sorting. Knowledge of environmental regulations and best practices related to electronics recycling. Strong attention to detail and ability to work meticulously to ensure accurate sorting and recording of components. Ability to lift and move heavy objects safely and work in physically demanding conditions. Excellent organizational skills and the ability to prioritize tasks effectively. Strong communication skills and the ability to work well within a team environment. Commitment to workplace safety and environmental sustainability. Good verbal and written communication skills to understand instructions, applicable safety regulations, and to maintain records. Ability to interact professionally with customers. Knowledgeable about company’s products and services, and customer-related policies. Ability to follow verbal and written instructions. Ability to operate general office equipment, such as computers, 10-key calculator, scanners and copier. Basic understanding of clerical procedures and systems such as recordkeeping and filing. Ability to work independently or as part of a team. Proven ability to work effectively in a team environment with associates. Ability to learn quickly and to creatively solve new problems. Ability to negotiate and settle differences quickly and peacefully. Ability to complete safety awareness training. Ability to handle equipment and vehicles safely and sensibly. Ability to use hand tools and power tools. Ability to work in a variety of roles. Basic computer skills. Basic mathematical skills. Mechanically inclined with great problem-solving skills. Thorough understanding of the material and/or process being inspected. Qualifications: High school diploma or equivalent required; technical or vocational training preferred 1+ years of experience in telecom, electronics, or equipment decommissioning (preferred) Comfortable working in indoor FCC-regulated environments Ability to lift and carry 50+ lbs and work in physically demanding settings Strong mechanical aptitude and familiarity with telecom/network equipment Valid driver’s license and ability to travel extensively, including overnight stays Ability to work independently and as part of a team with minimal supervision Strong attention to detail and commitment to safety Must pass a background check based on R2 standards for handling sensitive data. Experience using hand tools, power tools, lift trucks, and hand trucks required. PHYSICAL REQUIREMENTS Must be able to regularly lift, carry and move up to 25 pounds at a time. Must be able, on occasion, to lift, carry and move up to 50 pounds at a time. Able to complete physically demanding work. Good hand-eye-foot coordination and sense of balance. Must be able to perform physical activities that require considerable use of arms and legs and moving the entire body. This will include climbing, lifting, balancing, walking, carrying, and stooping. Must be able to traverse facilities and machinery by climbing, balancing, lifting, walking, stooping, and carrying materials. Prolonged periods standing or walking. Ability to perform repetitive movements over long periods of time. Must be able to work on components that are vertical, flat, or overhead. Must be able to visually inspect equipment. Excellent depth perception and reaction time. Must be able to see details at close range. Must be able to wear protective equipment for eyes/ears/feet. Ability to maintain single-task focus and situational awareness. Must be able to work in a variety of weather conditions and tolerate exposure to typical noises and smells associated with the plant. On occasion, may work in a variety of weather including extreme heat and cold. Ability to use PPE efficiently as required by the project environment Regular travel required (up to 75%), including overnight and out-of-state assignments Exposure to varying weather conditions and physical job site environments Flexible hours, including overtime during evenings and weekends, depending on project needs Exposure to FCC-regulated environments on a daily basis.

The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio , has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk. Get Paid $100 for 90 Minutes of Fun! Love being active? Enjoy trying new things? Want to make some quick cash while helping build the future of AI? We're looking for energetic people in Columbus, Ohio to participate in a super casual, fun data collection study. Think of it as getting paid to hang out, move around, and be yourself in front of a camera—no experience needed, no memorization, just you doing simple everyday actions! What You'll Do Visit our Columbus location for a 90-minute session where you'll: Perform easy, everyday activities like walking, gesturing, talking, and moving around Work with our friendly team who'll capture images, videos, and audio Try different setups with various props, backgrounds, and lighting Just be yourself—no acting skills required! Why You'll Love This Quick cash — $100 for 90 minutes Zero pressure — just be yourself and have fun Bring your people — friends and family can join Referral bonuses — earn $25 per successful referral Help shape AI technology that learns from real human movement and expression Flexible scheduling — find a time that works for you Ready to make some easy money while contributing to cutting-edge AI development? Sign up today! Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal. Demographic Information Disclosure: This research study requires the collection of demographic information (including but not limited to age, gender, ethnicity, and physical characteristics) to ensure appropriate diversity and representation in AI training data. All demographic information collected will be used solely for research purposes and handled in accordance with applicable privacy laws. Participation in this study is completely voluntary, and you have the right to decline participation or withdraw at any time without penalty. By participating, you consent to the collection of this demographic information as part of the study requirements.

Mobius is an award winning, Small Business Administration (SBA) certified Historically Underutilized Business Zone (HUBZone) company and certified Woman-Owned Small Business (WOSB) providing engineering, analytical, and programmatic expertise to the Federal Government and commercial customers. Our mission is to provide innovative advanced technology solutions to customers facing issues of national and global significance. We strive to be admired for excellent people, fair and honest partnership, innovative problem solving, and exceptional performance. Come join our team! Mobius is seeking a Junior Data Support Specialist to support the National Reconnaissance Office’s (NRO) Ground Enterprise Directorate (GED) Integrated System Program Office (ISPO) delivering Overhead Persistent Infra-Red (OPIR) mission management, tasking, collection, processing & dissemination, as well as, integration with DoD Space Based Infra-Red System (SBIRS). The Junior Data Support Specialist is a critical role responsible for managing and overseeing data strategies, data provenance, and the optimization of data flow across internal and external systems. This position focuses on ensuring the accuracy, consistency, and strategic management of data to support organizational objectives effectively. The specialist will work closely with internal teams, external stakeholders, and system architects to ensure seamless data integration and alignment with future data strategies. This position is ideal for data professionals who are passionate about leveraging data to drive strategic decision-making and system optimization. The Junior Data Support Specialist will play a vital role in ensuring that data is efficiently managed and utilized to meet both current and future organizational needs. The position is in the National Capitol Region. Duties of a Junior Data Support Specialist may include: Data Management: Ensure the optimization of data flow across systems, both internally and externally, by managing and overseeing data strategies and provenance. Data Strategy Development: Contribute to the development and execution of data strategies that align with organizational goals and future system architectures. Data Provenance: Maintain oversight of data lineage to ensure the integrity, accuracy, and traceability of data across components and systems. Stakeholder Collaboration: Collaborate with internal teams, external users, and system architects to address data-related challenges and opportunities. Data Analysis and Recommendations: Analyze data workflows, identify inefficiencies, and recommend solutions to improve data management processes. System Integration: Coordinate with system engineers and developers to ensure data systems are appropriately integrated and aligned with operational goals. Compliance and Security: Ensure that all data management activities adhere to organizational policies and applicable security standards. Innovation: Stay informed on emerging trends in data science and management to recommend innovative solutions and tools for better data handling. Qualifications: Familiarity with data lineage, data strategies, and optimization processes. Experience with data governance and compliance standards. Proficiency in data management tools and platforms. Understanding of data science concepts and methodologies. Knowledge of system integration processes and technologies. Familiarity with data security and compliance frameworks. Strong problem-solving and analytical skills. Ability to work collaboratively with diverse teams. Excellent communication and documentation skills. Experience working in government or intelligence community agencies. Familiarity with IC tools, processes, and data systems. Knowledge of advanced data science techniques and tools. Domain Expertise: GEOINT, SIGNINT, or Intelligence Integration Education 0-5 years with Bachelors in Science, Technical, Engineering or Math discipline Clearance Active TS/SCI Clearance Mobius Benefits: Mobius offers a stable work environment, a competitive salary, and a comprehensive benefits package, which includes medical, dental and vision plans, 401k Plan, Flexible Work Schedules, Tuition Reimbursement, Paid Leave and much more. Mobius is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.

Replies within 24 hours Role: Voice Data Communication Engineer Client : DC Government Location : Washington, DC (Hybrid - local candidates only) Job Description : Responsibilities: Provides technical direction and engineering knowledge for communications activities including planning, designing, developing, testing, installing and maintaining large communications networks. Ensures that adequate and appropriate planning is provided to direct building architects and planners in building communications spaces and media pathways meet industry standards. Develops, operates, and maintains voice, wireless, video, and data communications systems. Provides complex engineering or analytical tasks and activities associated with one or more technical areas within the communications function. Qualifications: 1-5 years of experience developing, operating and maintaining voice, wireless video, and data comm. Systems 1-5 years of experience providing direction for communications activities related to large comm. networks Troubleshoot daily telecom related issues in the areas of desk phones, call center applications, mobile devices, and data \ voice ports Proven experience with telecom system PBX\ACD\UIP Proven experience in asset management in the areas of hardware and software Good technical understanding of network, telecommunications, and mobile devices Proven experience with Call Center Environment Education: Bachelor’s degree in IT or related field or equivalent experience Job Type: Full-time Experience: develop, operat, maintain voice, wireless video,data comm.: 5 years (Preferred) provide direction for comms related to large comm n/ws: 5 years (Preferred) Bachelor’s degree in IT or related field or equivalent: 5 years (Preferred) Compensation: $46.00 - $50.00 per hour

Replies within 24 hours Benefits: 401(k) 401(k) matching Bonus based on performance Company parties Employee discounts Flexible schedule Opportunity for advancement Training & development Wellness resources Job Summary: We are seeking a detail-oriented and analytical Data Analyst to join our dynamic tax team. The successful candidate will play a crucial role in ensuring the accuracy and integrity of tax-related data. The Data Analyst will be responsible for collecting, organizing, and analyzing tax and financial data to support tax preparation and compliance, reporting, and strategic decision-making. Key Responsibilities: Data Collection and Compilation: Gather and compile relevant financial data from various sources, including client forms, internal systems, financial statements, and third-party reports. Ensure the completeness and accuracy of tax-related information. Data Analysis and Interpretation: Conduct thorough analysis of financial data to identify trends, anomalies, and potential tax implications. Tax Compliance: Assist in the preparation of tax returns by providing accurate and well-organized data. Collaborate with tax professionals to ensure compliance with local, state, and federal tax laws. Quality Assurance: Perform regular audits and reviews of tax data to maintain data accuracy and integrity. Implement and maintain data quality controls to minimize errors and discrepancies. Reporting: Generate comprehensive reports summarizing tax-related data analysis for internal stakeholders. Communicate findings and insights in a clear and understandable manner. Process Improvement: Identify opportunities for process improvement in tax data management and implement efficient solutions. Stay informed about changes in tax regulations and adjust data processes accordingly. Qualifications: Obtain IRS PTIN Pass Background check Proven experience in data analysis, preferably in a tax or finance-related role. Proficiency in Microsoft tools and learning new software (e.g., Excel, SQL). Excellent attention to detail and organizational skills. Strong communication and collaboration skills. Ability to work under tight deadlines and manage multiple tasks simultaneously. Willingness to serve people Preferred Qualifications: Professional certification such as CPA or CMA. Familiarity with tax software and ERP systems. Bachelor's degree in Accounting, Finance, or a related field. If you are a highly motivated individual with a passion for data analysis, we encourage you to apply for this rewarding position. Join our team and contribute to the success of our finance department. 3 month seasonal role with opportunity to go full timeP erks: Hourly pay + competitive bonus program Flexible Schedule Options Heath & wellness benefits 401K and other perks Corporate discount program Free tax preparation training and PTIN registration Free continuing tax education Enrolled Agent materials and testing reimbursement Compensation: $16.00 - $18.00 per hour Working at Jackson Hewitt Jackson Hewitt is an innovator with nearly 6,000 locations, and we’re on a mission to change the face of the tax industry. We are an industry-leading provider of full-service individual, federal, and state income tax preparation with offices across the country. Jackson Hewitt is always seeking to improve its financial products, promotions, and partnerships so clients get more. Taxes are fun (really!) Jackson Hewitt is proud to offer free tax training as well as continuing education for tax preparers across the country. With nearly 6,000 locations to choose from, there's likely a Jackson Hewitt location near you, including at your local Walmart store. Tax preparers have flexible scheduling and various rewards too. PTIN Certification: Yes By submitting this form, I hereby acknowledge that most Jackson Hewitt locations are operated by independent franchisees and not Jackson Hewitt or its affiliates. I further acknowledge that franchisees are independent employers and separate companies and employers from Jackson Hewitt Inc., and set their own employment policies and practices. Franchisees are the exclusive employer of their employees and as such are solely responsible for all employment-related matters and decisions in their locations. Specifically, with regard to employees of franchisees, such franchisees, and not Jackson Hewitt, will have exclusive control over all employment-related decisions, including decisions concerning hiring, firing, wages, conditions of employment, discipline, staffing, or any other day-to-day employment issue. Jackson Hewitt Inc. will have no obligation or right to control any franchise employment issue relating to employees of a Jackson Hewitt franchisee. By applying for a job at a franchise-operated location, I understand that the information I provide will be forwarded to the franchisee in order for that organization to reach out to me and process and evaluate my application. I acknowledge that Jackson Hewitt will not receive a copy of my employment application and will have no involvement in any employment decisions regarding me, including whether I receive an interview or whether I am hired to work for the franchisee. I understand that I need to contact the relevant franchisee for information about its privacy practices. Any communications opt-out that I submit in any franchisee’s job application process is specific to that franchisee and will not be communicated to any other entity.

About Watershed Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team. We have offices in San Francisco, New York, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us! The role We are looking for a customer-focused and analytically-minded individual to be a member of our NYC or SF office on the Sustainability Data Advisory team. This is an opportunity to join a core team at a growth-stage start-up that works with the world's top companies to accelerate their sustainability programs. You'll work directly with customers as a trusted advisor, leading measurement sessions and delivering advisory services that unlock the full value of our platform — enabling our customers to gain clear, reliable insights into their sustainability impact and achieve their sustainability goals. You will: Advise sustainability teams at many of the world’s top companies. You’ll work directly with customers on how to measure actionable carbon and non-carbon footprints to reach sustainability goals and enable real reductions, ranging from scoping new measurements to in-depth methodology comparisons between footprints. Deliver services that accelerate customer success, helping customers set up their measurements to meet sustainability goals, serving as a trusted partner in emissions verifications, and providing specialized advisory to optimize their data and methodologies. You'll ensure customers unlock maximum value from Watershed's platform faster and more effectively than they could on their own. Collaborate with science, engineering, and product teams to pioneer innovative measurement solutions and expand Watershed's sustainability intelligence layer. You might be a fit if you: Have 5-6 years of experience in a consulting, solutions-engineering, or other customer-facing role. You are excited to work directly with customers to help them set the foundation for world-class sustainability programs. Have experience in sustainability-related fields, greenhouse gas accounting and/or ESG reporting. Are an excellent verbal and written communicator. You can communicate complex topics to technical and non-technical audiences. Learn quickly and operate well in ambiguity. You are organized, systematic, and efficient. You thrive in a high-volume environment. Think clearly about complex problems, and are comfortable using and speaking to data. You are meticulous and detail-obsessed. Are passionate about solving climate change and excited to contribute to doing so at a fast-paced startup. This position is required to be in person in our New York or San Francisco office 4 days per week. Must be willing to work from an office 4 days per week (except for remote roles) Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so. What’s the interview process like? It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process. What if I need accommodations for my interview? At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day. Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology. What You'll Bring: Master’s or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a Bachelor’s degree in a quantitative field with at least three (3) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence. Experience and demonstrated success in client-facing roles over a period of at least one (1) year as well as at least one (1) year of professional experience performing analytic work, preferably in the Financial Services industry. Demonstrated interest in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing (e.g., through relevant internships). Strong analytical, critical thinking, and creative problem solving skills. Advanced programming skill and aptitude; proficiency with statistical programs such as R or Python; experience with other programming and data manipulation languages (SQL, Hive, Spark, C/C++, Java, Ab Initio); high level of familiarity with Microsoft Office tools. Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment; evidence of initiative-taking. Strong project and time management skills with the ability to manage multiple assignments effectively. Interest in client-facing consulting roles and ability to travel 10-20%. What Love to See: Proven ability to operate effectively under modest supervision in a complex and dynamic, matrixed environment. Familiarity with credit bureau data and solutions. Work experience in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing. Impact You'll Make: This position is responsible for supporting the development of analytic solutions through consulting engagements for TransUnion’s clients across a broad array of credit, fraud, insurance and marketing business applications. This position requires a general understanding of US financial services risk management practices. You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added solutions to various TransUnion customers. These tasks will include –among others- the development of predictive models and business intelligence solutions of moderate scope and complexity for customers within the various industries served by TransUnion. You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis for a variety of business use cases leveraging multiple analytic techniques. As a project leader, you will take ownership of all aspects of the project from design, to development, to peer review, to client presentation, to implementation and audit. You will identify strategies and opportunities for customers to test and adopt TransUnion’s analytic products and services and develop project proposals, sales presentations and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion, applying your practical analytic experience to find areas of new value of TransUnion customers. In the context of these opportunities, you will interact directly with TransUnion Sales and business unit partners and provide an analytic perspective and general support as needed. You will design, write, and test programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements. You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels. You will foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion’s Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion’s Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $67,500.00 - $112,500 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual’s education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations.Regular, fulltime non-sales positions may be eligible to participate in TransUnion’s annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: Sr Analyst, Data Science and Analytics Company: TransUnion LLC

Galderma is the emerging pure-play dermatology category leader, present in approximately 90 countries. We deliver an innovative, science-based portfolio of premium flagship brands and services that span the full spectrum of the fast-growing dermatology market through Injectable Aesthetics, Dermatological Skincare and Therapeutic Dermatology. Since our foundation in 1981, we have dedicated our focus and passion to the human body's largest organ - the skin - meeting individual consumer and patient needs with superior outcomes in partnership with healthcare professionals. Because we understand that the skin, we are in shapes our lives, we are advancing dermatology for every skin story. We look for people who focus on getting results, embrace learning and bring a positive energy. They must combine initiative with a sense of teamwork and collaboration. Above all, they must be passionate about doing something meaningful for consumers, patients, and the healthcare professionals we serve every day. We aim to empower each employee and promote their personal growth while ensuring business needs are met now and into the future. Across our company, we embrace diversity and respect the dignity, privacy, and personal rights of every employee. At Galderma, we actively give our teams reasons to believe in our bold ambition to become the leading dermatology company in the world. With us, you have the ultimate opportunity to gain new and challenging work experiences and create an unparalleled, direct impact. Job Title: Supply Chain Master Data Analyst Location: Ft. Worth, TX (Hyrbid) Job Description The Master Data Analyst will support establishing and maintaining regional master data governance frameworks for product and customer data across the U.S. supply chain. The role ensures data integrity, compliance with regulatory and quality standards, and alignment with global governance frameworks by defining policies, standard operating procedures, and processing documentation. Acting as a functional expert in lifecycle management and finished goods specification, the position drives continuous improvement initiatives, resolves complex data issues, and leads cross-functional projects to enhance data quality and system integrations. Additionally, the role fosters organizational adoption of governance practices through effective communication, training, and stakeholder engagement. Key Responsibilities Develop, document and maintain master data management standards for both product & customer data, enforce data governance procedures and guarantee data integrity across systems. Ownership and responsibility for total data quality inclusive of data accuracy, completeness, and consistency. Capture, analyze and provide insights into weekly and monthly KPIs. Drive functional leaders, IT experts and process teams to analyze systems for errors, troubleshoot integration issues and eliminate data entries. Make end-to-end process recommendations or improvements. Communicate effectively as required to provide a clear understanding of master data status, risks and decisions to stakeholders. Lead and coordinate regional initiatives related to Product Master Data, ensuring timely and effective project execution. Track and report on item setup progress. Identify priority items, raise potential risks and work with internal and cross functional teams to expedite completion. Skills & Qualifications Bachelor’s degree in Operations, Engineering, Supply Chain or other Business Disciplines is required. 3-5 years of experience in Supply Chain. Strong understanding of regulatory requirements and supply chain processes. Experience with ERP systems (e.g. Oracle, SAP) and data governance frameworks. Ability to work in a fast-paced, cross-functional environment Proficient in Microsoft Office Applications (Excel, Outlook, Word, PowerPoint, Access), advanced and above skill level in Excel. Excellent communication skills, organized and project-oriented. What we offer in return You will be working for an organization that embraces diversity & inclusion and believe we will deliver better outcomes by reflecting the perspectives of our diverse customer base. Next Steps If your application is successful and your profile is a match, we will invite you for a first virtual conversation with the recruiter. The next step is a virtual conversation with the hiring manager The final step is a panel conversation with the extended team Our people make a difference At Galderma, you’ll work with people who are like you. And people that are different. We value what every member of our team brings. Professionalism, collaboration, and a friendly, supportive ethos is the perfect environment for people to thrive and excel in what they do. Employer’s Rights: This job description does not list all the duties of the job. You may be asked by your supervisors or managers to perform other duties. You will be evaluated in part based on your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not an employment contract, and either you or the employer may terminate employment at any time, for any reason. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

We’re looking for talented professionals, anywhere in the United States, to join us in bringing smart money management and payment solutions to everyone’s fingertips. At Green Dot, we are evolving to a new and permanent “Work from Anywhere” model designed to maximize the benefits of remote work, promote and enable a strong culture of performance and connectedness, and attract the best and brightest talent who align with our entrepreneurial spirit and mission. >>>>>>>>>> JOB DESCRIPTION About the Role Green Dot is seeking a strategic and execution-focused Head of Data Governance to lead the enterprise-wide data governance program. This role will be responsible for establishing and maintaining a robust framework that ensures data integrity, security, and compliance across all business units. You will partner closely with Technology, Risk, Compliance, and Product teams to drive data quality, lineage, and stewardship initiatives that support regulatory obligations and business growth. Key Responsibilities Enterprise Data Governance Strategy: Develop and implement/enforce a comprehensive data governance framework aligned with Green Dot’s regulatory, operational, and strategic priorities for managing data assets. Policy & Standards Development: Codify architectural governance and open-source usage policies in collaboration with Technology and Compliance teams Regulatory Alignment: Lead efforts to meet evolving regulatory expectations Data Stewardship & Ownership: Define and operationalize data ownership models, stewardship roles, and accountability structures across departments. Educate broader data consumers on data governance principles, data usage and best practices Metadata & Lineage Management: Oversee the implementation of tools and processes for metadata capture, data lineage tracking, and cataloging. Ensures data quality, completeness and consistency through carious quality checks and monitoring. Risk & Compliance Integration: Collaborate with Risk and Compliance to ensure data governance supports KYC, AML, and consumer protection requirements Cross-Functional Leadership: Partner with Finance, HR, and Product to ensure data governance supports cost optimization, internal mobility, and product alignment goals Change Management: Strengthen compliance oversight and accountability over change management processes impacting data Enterprise Data Security: Partners with CISO and develop measures to protect sensitive customer data from unauthorized access or breaches. Qualifications 10+ years of experience in data governance, data management, or related fields within financial services or regulated industries. Proven leadership in building enterprise data governance programs. Deep understanding of regulatory frameworks (e.g., FRB, BSA/AML, UDAAP). Experience with metadata management, data lineage tools, and data quality frameworks. Strong stakeholder management and communication skills. Familiarity with cloud platforms (AWS, Azure) and open-source governance. Preferred Qualifications Experience navigating organizational restructures and role transitions in a high-growth or turnaround environment Prior engagement with regulatory remediation efforts or risk committee reporting Pluses Financial technology domain knowledge Microsoft Azure Data Engineer or other cloud certifications POSITION TYPE Regular PAY RANGE The targeted base salary for this position is $165,800 to $248,600 per year. The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate’s geographical location. >>>>>>>>>> We’re Here to Support You—Accommodations Upon Request Green Dot is committed to providing an inclusive and accessible hiring experience for all candidates. If you require a reasonable accommodation during any part of the application or interview process, we encourage you to let us know. We will work with you to meet your needs in a way that respects your privacy and ensures equal opportunity. Our goal is to support every applicant in showcasing their talents and potential. Work Authorization Requirement At Green Dot Corporation, we value diversity and strive for fair and inclusive hiring practices. However, we are currently unable to offer visa sponsorship. All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment, without the need for current or future sponsorship.

Description When You Love the Work You Do, Any Mission Is Possible Position: Systems Engineer (Data Integration and Dashboard Development) , All Levels Location: Annapolis Junction, MD/ (Fort Meade area) (Active Clearance with a FS Poly Required) Who We Are : Investing in our employee’s growth is a cornerstone of our philosophy. Joining Tiber means access to ongoing learning opportunities, mentorship, and a supportive environment that supports professional development. We believe in providing the tools and resources for our team to thrive and excel in their careers. We recognize that our collective strength lies in the diversity of our talents. Our collaborative work environment encourages cross functional teamwork, idea sharing, and a collective pursuit of excellence. Your skills and perspectives will be integral to our shared success. Position Summary: We are seeking a highly capable Systems Engineer with strong experience in data integration and dashboard development to support enterprise analytics initiatives. This role focuses on designing, developing, and maintaining Power BI dashboards and supporting data pipelines using Alteryx, Azure Data Factory, and Power Query to enable insights and decision-making across technical and business stakeholders. Key Responsibilities: Design and develop scalable Power BI dashboards to visualize system performance, business metrics, and operational data. Integrate and transform data using Power Query, ensuring clean and consistent data models for visualization. Build and maintain ETL pipelines using Alteryx and Azure Data Factory to automate data ingestion, transformation, and delivery. Optimize Power BI data models (star/snowflake schemas), implement row-level security, and create custom DAX measures and KPIs. Translate complex system requirements and data flows into actionable reports and dashboards for end users. Collaborate with data engineers, analysts, and system architects to align visualizations with technical infrastructure and business goals. Monitor data refresh schedules, performance, and reliability of dashboards and back-end data flows. Document system architecture, dashboard specifications, and data transformation logic. Support user adoption through training, documentation, and enhancement of reporting tools. Required Qualifications: Bachelor’s degree in Systems Engineering , Computer Science, Information Systems, or related discipline. Hands-on experience developing advanced dashboards using Power BI Desktop and Power BI Service. Proficient in Power Query for custom calculations and data manipulation. Strong working knowledge of Azure Data Factory for building and managing cloud-based ETL workflows. Proficient with Alteryx Designer for building automated data prep and blending workflows. Understanding of data modeling, relational databases, and data warehousing principles. Strong communication skills and the ability to translate technical data into user-friendly visual formats.

Operations Data Analyst Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as an Operations Data Analyst to be a driver of operational excellence. From transforming data into actionable insights to collaborating on innovative solutions, your skills will help shape our growing company's future! Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on. Position Responsibilities Transform raw data into broader business summaries with actionable insights for Uline's President and senior leaders. Dive deep into operational challenges, working across teams to craft improvement strategies. Brainstorm and help implement innovative cost-saving measures. Keep a pulse of customer feedback, turning their comments into action. Bring your research and analytics skills to the table during audits to make informed suggestions for departmental upgrades. Minimum Requirements Bachelor’s degree with a Business, Data or Finance focus. 3 years of relevant experience. Proficient in Excel and SQL. Excellent organizational and communication skills with great attention to detail. Travel to Uline’s North American locations or to international locations as needed. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one ! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks On-site café and first-class fitness center with complimentary personal trainers. Over four miles of beautifully maintained walking trails. About Uline Uline, a family-owned company, is North America’s leading distributor of shipping, industrial, and packaging materials with over 9,000 employees across 14 locations. Uline is a drug-free workplace . All new hires must complete a pre-employment hair follicle drug screening . All positions are on-site. EEO/AA Employer/Vet/Disabled #LI-CB2 #CORP (#IN-PPANA) Our employees make the difference and we are committed to offering exceptional benefits and perks!Explore Uline.jobs to learn more!

Texas Capital is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big firms at a scale that works for our clients, with highly experienced bankers who truly invest in people’s success — today and tomorrow. While we are rooted in core financial products, we are differentiated by our approach. Our bankers are seasoned financial experts who possess deep experience across a multitude of industries. Equally important, they bring commitment — investing the time and resources to understand our clients’ immediate needs, identify market opportunities and meet long-term objectives . At Texas Capital, we do more than build business success. We build long-lasting relationships. Texas Capital provides a variety of benefits to colleagues, including health insurance coverage, wellness program, fertility and family building aids, life and disability insurance, retirement savings plans with a generous 401K match, paid leave programs, paid holidays, and paid time off (PTO). Headquartered in Dallas with offices in Austin, Fort Worth, Houston, Richardson, Plano and San Antonio, Texas Capital was recently named Best Regional Bank in 2024 by Bankrate and was named to The Dallas Morning News ’ Dallas-Fort Worth metroplex Top Workplaces 2023 and GoBankingRate’s 2023 list of Best Regional Banks. For more information about joining our team, please visit us at www.texascapitalbank.com . Responsibilities Conduct moderately complex data profiling and analysis to evaluate data sources to determine the best source for business information Collaborate with data engineers to perform data validation and testing activities as appropriate Works directly with internal customers to refine requirements and validate output to ensure solutions will meet expectations and deliver actionable insights through data analysis Advanced database knowledge; creating/optimizing SQL queries, stored procedures, functions, partitioning data, indexing, and reading execution plans Utilize programming languages such as Python and VBA for data manipulation and analysis tasks Participate in project management activities using Agile methodologies to ensure timely delivery of projects Expert level of understanding and implementing ETL architecture; data profiling, process flow, metric logging, and error handling Document processes, workflows, and system designs using Visio to facilitate understanding across teams. Multi-task across several ongoing projects and daily duties of varying priorities as required Qualifications Minimum of 7 years of total experience in Data Analysis field. Experience in Banking and financial domain preferred. Proficient in analytics programming languages (SQL/R/Python) and automation tasks is essential Demonstrated understanding of data profiling, statistical analysis and data modeling concepts Proficient in extracting and leveraging data out of data warehouse, transactional databases, object stores & API based environments Demonstrated ability to translate business needs into technical solutions Ability to embrace change, adapt to the unexpected, and focus energies, people, and solutions on practical and positive results Demonstrated problem solving skills Strong communications skills with the ability to influence others using data and logic Ability to effectively mentor others Aptitude and drive to learn new technologies and analysis techniques Strong team player; able to work effectively within a team and more broadly with people from a variety of backgrounds and areas across the organization. Must be extremely proficient in Data Warehouse ETL Design/Architecture, dimensional/relational data modelling. Prior experience with database and model design and segmentation techniques Data warehouse experience with knowledge of SQL and the ability to query cloud relational databases like Snowflake or Redshift is a MUST. Familiarity with Coalesce/dbt is an added advantage for this job. Data Vault 2.0 (hubs satellite links) experience will be a PLUS. The duties listed above are the essential functions, or fundamental duties within the job classification. The essential functions of individual positions within the classification may differ. Texas Capital Bank may assign reasonably related additional duties to individual employees consistent with standard departmental policy.Texas Capital is an Equal Opportunity Employer.

Job Description: Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but it’s one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it’s the right thing to do. Pacific Life is more than a job, it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own.We’re actively seeking a talented Data Visualization Developer to join our Investments Technology in Newport Beach, CA. This role is onsite.As a Data Visualization Developer, you’ll play a key role in Pacific Life’s growth and long-term success by building out investment data & analytics ecosystem. You will fill a new role in our Technology organization developing advanced technology to support the management of Pacific Life's investment portfolio. This role will work alongside internal technologists (e.g. data engineers, integration engineers, solution architects) as we all external partners to deliver on a robust analytics solution producing deeper insights across our investments at the portfolio and asset level.How you will make an impact: Developing and maintaining the overall data & analytics architecture including data pipelines, models, data quality monitoring, analytic engines, integrations and reporting environments Building and maturing processes to operate within a modern, cloud-native technology stack through an Agile (scrum), DevOps operating model Guiding and mentoring internal and external technologists Partnering with functional stakeholders to translate business capabilities into technical capabilities within the data & analytics environment Collaborating with other technology groups across Pacific Life to integrate with upstream and downstream processes and technologies The experience you will bring: 5+ years of technology experience across visualization, reporting, analytics or related fields 5+ years experience building visualizations and dashboards with tools such as Tableau and PowerBI Knowledge and experience working with cloud-native data platforms (e.g. Snowflake) Advanced SQL experience with exposure to DAX and MDX scripting Exceptional analytical and problem-solving skills What will make you stand out: Domain experience with investment systems (e.g., Bloomberg, Aladdin, Barclays Point, Yield Book, MSCI Barra, Trepp, servicing platforms for real estate) and trading platforms Understanding of concepts such as security master, trading & position tables, pricing, and asset hierarchies (e.g., GICS industry classification) Demonstrated experience building and operating within an Agile/DevOps environment including You can be who you are. We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What’s life like at Pacific Life? Visit Instagram.com/lifeatpacificlife Benefits start Day 1.Your wellbeing is important. We’re committed to providing flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered.• Prioritization of your health and well-being including Medical, Dental, Vision, and a Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents• Generous paid time off options including Paid Time Off, Holiday Schedules, and Financial Planning Time Off• Paid Parental Leave as well as an Adoption Assistance Program• Competitive 401k savings plan with company match and an additional contribution regardless of participation. Base Pay Range: The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $134,280.00 - $164,120.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we’re committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Training Assessment Data Scientist The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your data science expertise to help the client conduct training assessments and after actions based on data generated during live, virtual and constructive training. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to increase technical and tactical expertise of Marine Corps units. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used to improve Marine Corps training readiness. Work with us as we use data science for good. Join us. The world can’t wait. You Have: 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 5+ years of experience with statistical and general-purpose programming languages for data analysis 5+ years of experience analyzing structured and unstructured data sources Experience developing predictive data models, quantitative analyses and visualization of targeted data sources Experience leading the development of solutions to complex programs Experience with natural language processing, text mining, or machine learning techniques Secret clearance Bachelor’s degree Nice If You Have: Experience working with Marine Corps Live, Virtual and Constructive Training Systems Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL Experience with visualization packages, including Plotly, Seaborn, or ggplot2 Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.