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

Madrigal is a biopharmaceutical company focused on delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH), a serious liver disease that can progress to cirrhosis, liver failure, need for liver transplantation and premature mortality. Every member of our Madrigal team is connected by our shared purpose: leading the fight against MASH. Madrigal’s medication, Rezdiffra (resmetirom), is a once-daily, oral, liver-directed THR-β agonist designed to target key underlying causes of MASH. Rezdiffra is the first and only medication approved by both the FDA and European Commission for the treatment of MASH with moderate to advanced fibrosis (F2 to F3). An ongoing Phase 3 outcomes trial is evaluating Rezdiffra for the treatment of compensated MASH cirrhosis (F4c). Our success is driven by our people. We are building a dynamic, inclusive, and high-performing culture that values scientific excellence, operational rigor, and collaboration. To support our continued growth, we are strengthening our workforce strategy to ensure we have the right talent, at the right time, in the right way. Title: Director, Commercial Data Architecture Development Department: Commercial Data & Analytics Location: Conshohocken, PA or Waltham, MA (Hybrid) Reports To: Senior Director, Commercial Data & Analytics Employment Type: Full-time Job Purpose The Director, Commercial Data Architecture Development will lead key development initiatives within the scope of Madrigal’s Commercial Data Warehouse (CDW). This hands-on technical leader will serve as both architect and team lead for developers, driving the design and implementation of scalable, high performance data solutions that enable commercial reporting, analytics, and data-driven decision-making. This position plays a critical role in defining the foundation of Madrigal’s commercial data ecosystem and ensuring alignment with business needs, data governance standards, and technical best practices. The role reports to the Senior Director, Commercial Data & Analytics. Essential Functions Lead the design, build, and implementation of key programs leveraging Microsoft Fabric, Databricks, Synapse, and related tools. Serve as architect and technical team lead , providing hands-on development and guidance to data engineers in building efficient, scalable data pipelines. Define and implement data architecture frameworks aligned with Medallion (Bronze, Silver, Gold) principles. Design and oversee ETL/ELT processes for transformation of commercial datasets. Maintain data quality, integrity, and governance processes across all commercial data assets. Collaborate with Commercial Operations, Market Access, Analytics, and IT teams to ensure the data environment supports reporting and analytical needs. Define data modeling standards , master data management approaches, and harmonization across multiple data domains. Develop and maintain metadata management and documentation for the Commercial Data Warehouse. Partner with internal and external technology resources to optimize performance and scalability. Continuously evaluate and enhance architecture design to meet evolving business and analytical requirements. Qualifications Required: Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related discipline. Minimum of 15 years of experience in pharmaceutical commercial data management, data engineering, or data architecture roles. Proven track record designing and developing commercial data warehouses in cloud environments , preferably Microsoft Azure. Expertise with Azure Synapse, Databricks, Fabric, SQL, and Power BI integration. Deep understanding of pharmaceutical commercial datasets , including: Patient-level data (APLD): IQVIA, Komodo, PurpleLab, etc. Formulary data: MMIT Projected national data: Xponent, NSP, NPA, etc. International data: MIDAS Drug distribution data: IQVIA DDD Reference data: OneKey, OpenData Specialty pharmacy / Specialty distributor data (SP/SD) Strong understanding of data modeling, performance tuning, and Medallion architecture design principles . Hands-on technical development experience with the ability to function as both architect and lead developer. Excellent problem-solving, communication, and cross-functional collaboration skills. Preferred: Experience within or providing consulting support for launch-stage or growth-stage biotech organizations. Familiarity with data tokenization and privacy compliance (e.g., Datavant) . Experience implementing data governance frameworks and metadata management . Demonstrated ability to mentor and provide technical direction to development teams. Madrigal’s Total Rewards strategy is based on a biotech industry peer group comparator and is inclusive of base pay, bonus and equity. Our equity offers meaningful opportunity allowing our employees to share in the success they help create. By aligning individual and company performance, we empower employees to think like owners, giving them a stake in the organization. All employees receive equity, which we believe reinforces our ownership culture. Base salary is determined by several factors including the candidate’s qualifications, skills, education, experience, business needs and market demands. The base salary range for this position is $212,000 - $259,000 per year All full-time employees receive equity, which reinforces our ownership culture and offers meaningful opportunity for our employees to share in the success they help create. By aligning individual and company performance, we empower employees to think like owners, giving them a stake in the organization. Full-time employees are also eligible for comprehensive benefits, including flexible paid time off, medical, dental, vision and life/disability insurance, and 401(k) offerings (i.e., traditional, Roth, and employer match) in accordance with applicable plans. We also offer additional voluntary benefits like supplemental life insurance, legal services, and other offerings. In addition, we offer mental health benefits through our Employee Assistance Program for employees and their family. The company also provides other benefits in accordance with applicable federal, state, and local laws. We are committed to providing reasonable accommodations for individuals with disabilities throughout the hiring process. If you need assistance, please contact HR@madrigalpharma.com. Madrigal is an Equal Opportunity Employer. All employment is decided on the basis of qualifications, merit, and business need. Applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex gender identity, sexual orientation, national origin, age, disability, protected veteran or disabled status, or other characteristic protected by applicable federal, state, or local law. Unsolicited resumes from agencies should not be forwarded to Madrigal. Madrigal will not be responsible for any fees arising from the use of resumes through this source. Madrigal will only pay a fee to agencies if a formal agreement between Madrigal and the agency has been established. Applications are being accepted on an ongoing basis and can be submitted through our Madrigal Careers site. Please be aware that we have received reports of individuals misrepresenting themselves as Madrigal Pharmaceuticals’ Hiring Managers, seeking to engage with job candidates through fraudulent online advertisements or job posting sites. These unauthorized individuals are using Madrigal’s name and logo in an attempt to solicit up-front fees and obtain personal information from interested job candidates. Please know that Madrigal does not conduct interviews via text or in chat rooms; conduct interviews via Skype, RingCentral or solely via telephone; charge candidates an advance fee of any kind (e.g., fees for purchasing equipment); nor does it offer positions of employment without undergoing a thorough recruiting process. Please also note that any correspondence with regard to employment would come from an authorized madrigalpharma.com email address or from an email address from one of our trusted search firm partners. We are aware that incorrect/fraudulent email addresses, with Madrigal misspelled, have been utilized in these most recent fraud attempts. If you receive unsolicited employment offers from people claiming to work for or on behalf of Madrigal, we recommend that you: do not respond to their questions; do not open any attachments; and do not click on any hyperlinks. Any questions regarding the legitimacy of job-related contacts can be directed to HR@madrigalpharma.com .

Job Title ERP Data Specialist Location Tampa, Florida (Onsite) Summary Join our Tampa team as an ERP Data Specialist and play a key role in managing and improving data processes in SAP. You’ll help ensure accuracy and efficiency that supports our operations and drives innovation. What you will get An agile career and dynamic working culture. An inclusive and ethical workplace. Compensation programs that recognize high performance. Medical, dental and vision insurance. Our full list of global benefits can be found here: https://www.lonza.com/careers/benefits. What you will do Create and manage ERP (SAP) data, ensuring accuracy and consistency. Maintain item codes, BOMs, recipes, and operation parameters in SAP. Support SAP users and monitor approval workflows to meet GMP requirements. Partner with finance to ensure accurate Bill of Materials updates. Drive process improvements for new part setup and data integrity. Generate KPIs and analyze trends to support business goals. Collaborate with internal teams to develop solutions for data improvement. What we are looking for Bachelor’s degree or equivalent experience required. 2+ years of experience in data management or supply chain. Knowledge of SAP systems and material master data processes required. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, evolving environment. Detail-oriented and committed to accuracy and compliance. About Lonza At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of. Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we offer equal employment opportunities to all qualified applicants regardless of race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by law. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board. Ready to shape the future of life sciences? Apply now.

Empower Your Future: At MetOx International, we’re pioneering the next era of energy security and abundance through breakthrough superconducting technology. As a Senior Data Scientist, you’ll join a dynamic team committed to strengthening the world’s energy systems to make them more resilient, efficient, and reliable. Based at our global headquarters in Houston, TX, the Senior Data Scientist will lead advanced analytics, modeling, and machine learning efforts across our manufacturing operations. In this role, you will partner closely with R&D, process engineering, quality, and operations to translate complex process challenges into data-driven insights that improve yield, quality, and scalability. This is a highly technical, hands-on role for someone who thrives at the intersection of process engineering, applied mathematics, and industrial data science, and who is excited to drive measurable impact in advanced materials manufacturing. Key Responsibilities Process Analytics & Optimization Develops and deploys statistical models for process characterization, optimization, and quality control in superconductor manufacturing. Designs and executes design of experiments (DOE) to identify critical process parameters and optimize production outcomes. Implements statistical process control (SPC) methodologies including multivariate control charts and process capability analysis. Conducts root cause analysis using advanced statistical techniques combined with process engineering knowledge. Advanced Modeling & Machine Learning Builds physics-informed models that combine first-principles engineering with machine learning approaches. Develops predictive models for yield optimization, defect detection, and predictive maintenance. Applies time-series analysis and forecasting for process monitoring and anomaly detection. Implements computer vision and machine learning solutions for automated quality inspection. Mathematical Modeling & Simulation Applies advanced mathematical techniques including optimization theory, differential equations, and numerical methods to solve complex manufacturing challenges. Develops digital twins and process simulation models for scenario analysis and process improvement. Performs multivariate statistical analysis to understand complex interactions in manufacturing processes. Builds decision support tools using mathematical optimization for production planning and resource allocation. ⠀Data Infrastructure & Pipeline Development Designs and implements scalable data pipelines for real-time process monitoring across manufacturing operations. Integrates data from multiple sources including SCADA systems, MES platforms, databases, and sensor networks. Develops automated reporting systems for KPI tracking, process drift detection, and quality metrics. Establishes best practices for data governance, version control, and reproducible research. Technical Leadership & Collaboration Leads cross-functional data science projects involving R&D, process engineering, quality, and operations teams. Mentors junior data scientists and engineers on statistical methods, machine learning, and best practices. Translates complex process engineering challenges into tractable data science problems. Communicates analytical findings and recommendations to technical and executive stakeholders. Drives adoption of data-driven decision-making and advanced analytics across the organization. Other duties as assigned Minimum Qualifications: Bachelor's degree in Chemical Engineering, Materials Science, Applied Mathematics, Statistics, Data Science, or related technical field. 4 years of professional experience in data science or analytics within manufacturing, process engineering, or industrial R&D environments. Demonstrated experience in statistical process control, design of experiments, and process optimization. Preferred Qualifications: Master’s or PhD in Chemical Engineering, Materials Science, Applied Mathematics, Statistics, or related field. Experience in process-intensive industries (semiconductor, chemical, pharmaceutical, or advanced materials manufacturing). Six Sigma Black Belt or equivalent process improvement certification. Experience with superconductor manufacturing, electrochemistry, thin-film deposition, or related materials processes. Publication record in process engineering, applied statistics, or machine learning. Experience with industrial automation systems (SCADA, MES, OPC, MQTT). Knowledge, Skills, & Abilities: Process Engineering & Domain Knowledge Deep understanding of manufacturing processes, unit operations, and process dynamics. Expertise in statistical process control (SPC), process capability analysis (Cp, Cpk), and control chart theory. Proficiency with design of experiments including factorial designs, response surface methodology, and Taguchi methods. Knowledge of quality management systems and continuous improvement methodologies. Strong foundation in mathematical modeling and advanced statistical methods Expert knowledge of multivariate statistics, time-series analysis, hypothesis testing, and Bayesian inference. Strong foundation in linear algebra, calculus, differential equations, and optimization theory. Experience with dimensionality reduction techniques (PCA, PLS, factor analysis). Understanding of numerical methods and computational algorithms. Machine Learning & AI Advanced proficiency in machine learning techniques including regression, classification, ensemble methods, and neural networks. Experience with computer vision and deep learning frameworks (TensorFlow, PyTorch, YOLO, etc.). Knowledge of model validation, cross-validation, and hyperparameter optimization. Familiarity with MLOps practices for model deployment and monitoring. Technical Programming & Tools Expert-level programming in Python (NumPy, SciPy, Pandas, Scikit-learn, Matplotlib, Plotly). Proficiency with statistical analysis software (Minitab, JMP, or equivalent). Advanced SQL skills for complex data extraction and manipulation from manufacturing databases. Experience with version control (Git), containerization (Docker), and CI/CD practices. Familiarity with data visualization platforms (Grafana, Tableau, Power BI, Metabase). Soft Skills & Leadership Exceptional analytical and problem-solving abilities with attention to detail. Strong communication skills with ability to explain complex mathematical and statistical concepts to diverse audiences. Proven ability to lead projects and mentor team members. Self-motivated with ability to work independently and manage multiple priorities. Collaborative mindset with experience working across engineering, operations, and business functions. Strategic thinking with ability to connect data insights to business objectives. Physical Demands : This position requires sitting at a desk and viewing a computer screen for extended periods while working or performing other office tasks. Ability to move around the office, including occasional standing, walking, and bending to retrieve documents, attend meetings, or use office equipment. Some light lifting may be required, up to 20 lbs. MetOx is proud to offer competitive benefits including: Health, dental, and vision available on the first day of employment 401(k) match Paid parental leave & adoption assistance Educational reimbursement And more! We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

ABOUT US At HUB International, we are a team of entrepreneurs. We believe in protecting and supporting the aspirations of individuals, families, and businesses. We help our clients evaluate their risks and develop solutions tailored to their needs. We believe in empowering our employees to learn, grow, and make a difference. Our structure enables our teams to maintain their own unique, regional culture while leveraging support and resources from our corporate centers of excellence. HUB is a global insurance and employee benefits broker, providing a boundaryless array of business insurance, employee benefits, risk services, personal insurance, retirement, and private wealth management products and services. With over $5 billion in revenue and almost 20,000 employees in 600 offices throughout North America, HUB has grown substantially, in part due to our industry leading success in mergers and acquisitions Information Management Analyst, Data Enablement What you’ll be doing We seek an analytical and detail-oriented Information Management Analyst to join our Data Enablement Team . In this role, you will support the organization's data strategy by ensuring that data is accessible, trusted, and aligned with business needs under the supervision of the Manager of Data Enablement. You’ll work closely with data stewards, business units, and technical teams to operationalize, improve data quality, and promote data literacy across the enterprise. As a development team member, you will translate business needs into dimensions, facts, and product backlog items while collaborating with cross-functional teams to ensure project success and product implementation. You will be responsible for… Working with senior team members to analyze multiple enterprise-grade projects focusing on data-driven solutions. Learning subject matter expertise for business, functional, and technical data analysis. Interpret data and analyze results to map data into new data models or to enhance existing data models, collaborate on remediation plans, and track progress. Assisting business and product owners in clarifying their vision to illuminate the key features of the minimally viable product. Collaborating with the team to create testing plans and execute test cases. Identify, analyze, and interpret trends or patterns in complete data sets. Assist in designing and monitoring data quality metrics and rules. Support root cause analysis and process improvement initiatives related to data accuracy and consistency. Develop and maintain data documentation and data source inventories. Serve as a liaison between business and technical teams to support data discovery, usability, and compliance. Help standardize data access processes and improve user experience in data platforms. Deliver training and resources that increase data literacy and awareness of governance practices. What skills & experience do you bring to us Holds a bachelor's or associate's degree in Business Administration or Computer Science from an accredited institution, or possesses seven years of experience in business data analysis. Knowledge of an Agile Framework (i.e., Scrum, Kanban) Understanding modern data architectures and cloud data platforms (e.g., Snowflake, Azure, GCP, or AWS). Advanced knowledge of querying data using SQL and BigQuery is required Experience with data enablement initiatives in a complex or regulated environment. Data Modeling experience is required Excellent written and verbal communication skills Strong interpersonal skills Exceptional time management skills A self-starter who can deliver results while working independently JOIN OUR TEAM Do you believe in the power of innovation, collaboration, and transformation? Do you thrive in a supportive and client focused work environment? Are you looking for an opportunity to help build and drive change in a rapidly growing and evolving organization? When you join HUB International , you will be part of a community of learners and doers focused on our Core Values: entrepreneurship, teamwork, integrity, accountability, and service. Disclosure required under applicable law in California, Colorado, Illinois, Maryland, Minnesota, New York, New Jersey, and Washington states: The expected salary range for this position is $ 90,000 to $120,000 and will be impacted by factors such as the successful candidate’s skills, experience and working location, as well as the specific position’s business line, scope and level. If you believe that your qualifications and experience surpass the minimum requirements for this role, we encourage you to submit your application. By doing so, we will be able to keep your application on file for consideration for potential future positions within our organization. HUB International is proud to offer comprehensive benefit and total compensation packages which could include health/dental/vision/life/disability insurance, FSA, HSA and 401(k) accounts, paid-time-off benefits such as vacation, sick, and personal days, and eligible bonuses, equity and commissions for some positions. Department Information TechnologyRequired Experience: 2-5 years of relevant experienceRequired Travel: NegligibleRequired Education: Bachelor's degree (4-year degree) HUB International Limited is an equal opportunity employer that does not discriminate on the basis of race/ethnicity, national origin, religion, age, color, sex, sexual orientation, gender identity, disability or veteran's status, or any other characteristic protected by local, state or federal laws, rules or regulations. E-Verify Program We endeavor to make this website accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the recruiting team HUBRecruiting@hubinternational.com . This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.

Come Work w ith Us! 1,000 New Hire Incentive! Taylor is proud to now offer “ DailyPay ”. With “ DailyPay ”, you can get paid on your very first day. No more waiting for direct deposit or a paper check! https://www.dailypay.com/partners/taylorcorp/ Taylor Corporation is a growing, dynamic company with big plans for the future ― and our people. Family owned and proud of it, we power our employees’ potential and strive to create opportunity and security for every member of the team. We’re passionate about our work, we believe there is always a better way, and we’re in this for the long haul. Ready to build a career? It’s time to look at Taylor. Your Opportunity: Taylor Corporation is seeking a detail-oriented Prepress Technician to join our team! In this role, you'll review and enter order information, ensuring customer details are input correctly for invoicing. You'll analyze information to determine the best outcome while using our internal systems to complete data entry with precision. Work Authorization: To be considered for the Taylor opportunities, candidates must be authorized to work in the United States without the need for employer sponsorship. Your Responsibilities: Reviews and interprets customer order information to ensure all necessary items are present in order to produce the order effectively Responds to internal questions from manufacturing and customer service related to specific orders and determines the specific system in which the order is to be entered and enters the order correctly Tears down and/or sorts orders to prepare for entry Maintain attendance according to facility guidelines, as well as be able to work constructively with co-workers, supervisors, vendors, etc. in performing daily responsibilities Your Shift: 1st Shift; Monday- Friday,7:00am- 4:00pm You Must Have: Knowledge and use of Microsoft Office, general skills in Excel and Outlook; experience in basic computer operation skills Accurate typing ability. (40WPM or more) Ability to speak and communicate with fellow employees at a professional level Ability to read, interpret, and decipher general written instructions from documents such as work orders, safety regulations, operating procedures, or other job specific written documents Ability to perform basic mathematical functions such as addition, subtraction, multiplication, and division in all units of measure using whole numbers, common fractions, and decimal Requirements Within This Position: Ability to communicate and exchange accurate information and ideas so others will understand Ability to accurately input information in business system for customers Regularly required to remain in a stationary position for keyboarding Occasionally required to move inside the facility Ability to maintain standard job requirements for accuracy and efficiency We Would Also Prefer: 2+ years of experience in data entry or computer related field The anticipated hourly range for this position is $16.00 - 18.00. The actual base offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The range listed is just one component of Taylor Corporation’s total compensation and benefits package for employee s . About Taylor Corporation One of the largest print and communications firms in North America, Taylor’s family of companies provides a diverse set of products, services and technologies that address the toughest business challenges. We work diligently each day to create printed and digital marketing communication solutions that help power many of the world’s most recognizable brands. With more than 50 years of category expertise and 10,000 employees spanning dozens of U.S. states and multiple countries, Taylor serves businesses and distributors both large and small. Our employees enjoy a comprehensive benefit package including a choice of several health plans, dental, vision, wellness programs, life and disability coverage, flexible spending accounts, health savings accounts, a 401(k) plan with company match, paid time off (PTO) and 64 hours of annual holiday pay. The Employer retains the right to change or assign other duties to this position. Taylor Corporation is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Taylor Corporation including all partners and affiliates is an Equal Opportunity Employer/Veterans/Disabled.

Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role Join our GPSC Insight Engineering team, responsible for ideating, incubating, and delivering new data solutions for global purchasing supply chain (GPSC) and our partners. As a Senior Data Engineer, you will design, build, and optimize industrialized data assets and data pipelines in support of Business Intelligence and Advanced Analytics objectives. In this role within the GPSC Insights Engineering organization under the Data organization, you will deliver high-quality, scalable solutions that meet both functional and non-functional business requirements. You will contribute to projects across databases, streaming technology, CI/CD, and cloud platforms. This is a senior-level role that blends strong data engineering skills with modern software engineering practices. You will help lead and deliver innovative, scalable, and maintainable data-driven solutions—writing high-quality, tested, production-ready code that meets customer needs and scales without rework. You will work in a collaborative, cross-disciplinary environment, handle complex challenges, contribute to architectural discussions, and help shape solutions that improve performance, scalability, and maintainability, while also ensuring alignment with business priorities. What You’ll Do Assemble large, complex data sets that meet functional and non-functional business requirements. Identify, design, and implement process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability. Lead and deliver data-driven solutions across multiple languages, tools, and technologies. Contribute to architecture discussions, solution design, and strategic technology adoption. Build and optimize highly scalable data pipelines incorporating complex transformations and efficient code. Design and develop new source system integrations from varied formats (files, database extracts, APIs). Design and implement solutions for delivering data that meets SLA requirements. Work with operations teams to resolve production issues related to the platform. Apply best practices such as Agile methodologies, design thinking, and continuous deployment. Develop tooling and automation to make deployments and production monitoring more repeatable. Collaborate with business and technology partners, providing leadership, best practices, and coaching. Mentor peers and junior engineers; educate colleagues on emerging industry trends and technologies. Your Skills & Abilities (Required Qualifications) Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent experience 7+ years of data engineering/development experience, including Python or Scala, SQL, and relational/non-relational data storage. (ETL frameworks, big data processing, NoSQL) 3+ years of experience in distributed data processing (Spark) and container orchestration (Kubernetes) Proficiency in data streaming in Kubernetes and Kafka Experience with cloud platforms – Azure preferred; AWS or GCP also considered. Solid understanding of CI/CD principles and tools Familiarity with big data technologies such as Hadoop, Hive, HBase, Object Storage (ADLS/S3), Event Queues. Strong understanding of performance optimization techniques such as partitioning, clustering, and caching Proficiency with SQL, key-value datastores, and document stores Familiarity with data architecture and modeling concepts to support efficient data consumption Strong collaboration and communication skills; ability to work across multiple teams and disciplines. What Can Give You a Competitive Advantage (Preferred Qualifications) Master’s degree in Computer Science, Software Engineering, or related field Knowledge of data governance, metadata management, or data quality/observability Familiarity with schema design and data contracts Experience handling various file formats (video, audio, image) Experience with Databricks, Snowflake, or similar platforms Experience designing and implementing robust data ingestion frameworks for heterogeneous data sources (structured/unstructured files, external suppliers, supplier chain systems). This job may be eligible for relocation benefits. Compensation: The expected base compensation for this role is: $134,000 - $219,400. Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) #LI-CC1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources . Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire . Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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

MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem. MORSE is searching for a Lead Data Scientist with expertise in data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification, big data, natural language processing, machine translation, time sequenced data, and advanced metrics. You will lead teams and strategy for Algorithm Test and Evaluation (T&E) of AI and machine learning models and algorithms to give national security customers insights into the capabilities of applying AI to solve real world problems. Responsibilities: Define goals and expectations for algorithm T&E performance Research artificial intelligence data splitting, metrics, and T&E methodology Lead strategy and coordination with algorithm development vendors Work with customers, stakeholders, and other vendors to present concepts, analyses, and test results Present a path forward and solutions to solve complex data problems Work with MORSE’s current team of engineers and scientists to transition algorithms to software applications and real-time embedded systems. Requirements: US CITIZENSHIP REQUIRED and an Active Top Secret U.S. Security Clearance with SCI eligibility (TS/SCI) Masters or Ph.D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field 7+ years of experience in Data Science, Artificial Intelligence, or Machine Learning Expertise in artificial intelligence, machine learning, and data science Experience in algorithm development and testing Excellent communication and presentation skills Self-starter and driven Ability to be onsite 4-5 days/week The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success while maintaining a collaborative, enjoyable work experience for our employees. Our team values work-life balance through flexibility and other programs, along with a comprehensive benefits package for employees and families. For more information, please visit www.morsecorp.com .

About Nightfall: Nightfall is the AI-native, unified data loss prevention and insider risk management platform that protects sensitive data across SaaS apps, GenAI tools, email, endpoint devices, and more. Hundreds of customers, spanning AI innovators to top 10 banks, trust Nightfall to detect and stop data exfiltration at scale. Nightfall enables organizations to innovate freely without the risks of losing intellectual property or exposing customer data. Our agentic platform helps security teams regain their time by putting data loss prevention on autopilot. With automatic remediation, security violations can be resolved automatically before they become incidents, and end-users can be automatically trained and coached in the moment to self-heal violations that they introduce. Nightfall is backed by leading VC firms including Bain Capital Ventures (Enrique Salem - former CEO of Symantec), Venrock (early investors in Cloudflare), WestBridge Capital, Pear VC (early investors in Dropbox and Doordash), and a cadre of cybersecurity leaders including Frederic Kerrest (founder of Okta), Maynard Webb (former COO of eBay), Ryan Carlson (President of Chainguard), Kevin Mandia (founder of Mandiant), and many others. About the role: We are looking for an exceptional technical leader to join our growing team at Nightfall. As a senior Applied Scientist joining the AI Engineering organization, you will create ML/NLP models and Gen AI solutions that power our Data Leak Protection (DLP) and other Security products. You will provide technically guidance to ML engineers build the production systems, and help shape the long-term architecture of the AI Platform. This is a hybrid role (3 day office) based out of our South Bay area (Palo Alto) office, and a perfect opportunity to pursue your passion on Data Science and ML engineering. Responsibilities Fast-paced, hands-on execution, work with the team to set clear goals, and deliver against them Apply statistical and machine learning techniques to come up with creative solutions for detecting and solving problems in the enterprise security space Create, train and fine-tune NLP, large language and other models for use in large scale, real-time environments Work with the team to take model prototypes to production through the entire ML lifecycle phases: system architecture, data creation, training, inferencing and evaluation Help shape the architecture of the AI Models and Platform to support machine learning at scale and with optimal operational cost. Champion a culture of data and impact driven engineering Requirements Minimum 5+ years of hands-on, technical development experience 5-10 years of experience mentoring and technically leading Data Science or ML Engineering teams. Strong expertise in Python with an additional language such as Go, C++, Java or Rust. Knowledge of data structures and algorithms is a must. Grounded in Data Science and Machine Learning algorithms with demonstrated business impact (preferably in security or related domain) through application of statistical and machine learning techniques. Proficient in training custom transformer, large language models or other deep learning models to solve complex NLP problems, and designing the ML systems to host models in production. BS/MS/Ph.D. in Computer Science, Applied Math a or a related technical field. Bonus Points Experience working in high growth venture-backed startups Prior experience using AI in Security: Detection of Health, Named Entity, PII data, modeling security risk, etc. ML training and inferencing at scale with hands-on experience with horizontal and vertical scaling, including use of GPUs. Experience with prompt and context engineering for LLMs, RAG/vector databases, conversational/agentic frameworks is a plus Experience with ML frameworks such as Sagemaker, MLflow, Vertex AI, etc. Blog, teach, mentor, or help others learn outside of your day to day responsibilities Familiarity with AWS and managed infrastructure Environment Nightfall AI takes pride in being an equal-opportunity employer. We value a diverse and global talent pool and the collaboration that results from having a diverse and inclusive team. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Our hiring decisions are based exclusively on merit, qualifications, and business needs. Compensation Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market rate. During the offer discussion, your recruiter will review the finalized base salary, bonus (for applicable roles), benefits & perks, and stock options as they’ll be reflected in the offer letter.

Build Your own Job Description! Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in the Data Engineering position, you should have strong analytical and problem solving skills and the ability to combine data from different sources, so we're looking for data engineers with strong analytical skills, who can create algorithms and conduct statistical and ability to integrate raw information from different sources to create consistent machine readable formats. Our engineers are versatile, enthusiastic and work with leaders across the organization to help support business decisions. Does this sound like you? As a Data engineer, you will be responsible for collecting, managing, and converting raw data into information that can be interpreted by data scientists and business analysts. Their ultimate goal is to make data accessible so that various stakeholders and clients can use it to evaluate and optimize their business performance. What are we looking for? Technical Skills and Responsibilities:  Analyzing and organizing raw data  Developing and maintaining datasets  Improving data quality and efficiency  Build data systems and pipelines  Evaluate business needs and objectives  Interpret trends and patterns  Conduct complex data analysis and report on results  Prepare data for prescriptive and predictive modeling  Build algorithms and prototypes  Combine raw information from different sources  Explore ways to enhance data quality and reliability  Identify opportunities for data acquisition  Develop analytical tools and programs  Collaborate with data scientists and architects on several projects Other skills and competence  Technical expertise with data models, data mining, and segmentation techniques  Strong analytical and problem-solving skills.  Hands-on experience with SQL database design  Knowledge of programming languages (R, Python)  Bachelor’s Degree in Computer Science, IT, or similar field  Highly motivated with a sense of ownership and accountability.  Quick learner with a great attitude.  Genuine team player, able to work well and pleasantly in a team and work independently for the team  Ability to communicate effectively with technical and non-technical audiences

Build Your own Job Description! Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in the Data Engineering position, you should have strong analytical and problem solving skills and the ability to combine data from different sources, so we're looking for data engineers with strong analytical skills, who can create algorithms and conduct statistical and ability to integrate raw information from different sources to create consistent machine readable formats. Our engineers are versatile, enthusiastic and work with leaders across the organization to help support business decisions. Does this sound like you? As a Data engineer, you will be responsible for collecting, managing, and converting raw data into information that can be interpreted by data scientists and business analysts. Their ultimate goal is to make data accessible so that various stakeholders and clients can use it to evaluate and optimize their business performance. What are we looking for? Technical Skills and Responsibilities:  Analyzing and organizing raw data  Developing and maintaining datasets  Improving data quality and efficiency  Build data systems and pipelines  Evaluate business needs and objectives  Interpret trends and patterns  Conduct complex data analysis and report on results  Prepare data for prescriptive and predictive modeling  Build algorithms and prototypes  Combine raw information from different sources  Explore ways to enhance data quality and reliability  Identify opportunities for data acquisition  Develop analytical tools and programs  Collaborate with data scientists and architects on several projects Other skills and competence  Technical expertise with data models, data mining, and segmentation techniques  Strong analytical and problem-solving skills.  Hands-on experience with SQL database design  Knowledge of programming languages (R, Python)  Bachelor’s Degree in Computer Science, IT, or similar field  Highly motivated with a sense of ownership and accountability.  Quick learner with a great attitude.  Genuine team player, able to work well and pleasantly in a team and work independently for the team  Ability to communicate effectively with technical and non-technical audiences

DATA ANALYST, VALUE ADDED SERVICES Current is a leading US-based fintech company dedicated to empowering individuals to achieve their financial goals. We're committed to providing innovative and accessible financial solutions, and data plays a crucial role in driving our success. We're looking for a talented and passionate Data Analyst to join our Value Add Services team and help us leverage data to optimize our operations, enhance our products, and deliver exceptional customer experiences. ABOUT THE ROLE As a Data Analyst on the VAS team you'll be at the forefront of shaping our understanding of customer behavior, banking product performance, and operational efficiency. You'll work closely with product managers, engineers, and other stakeholders to translate business questions into actionable insights. Your work will directly impact key decisions related to our banking products, features, and overall strategy. RESPONSIBILITIES Analyze large datasets to uncover trends, patterns, and improvement opportunities in banking products and services. Build and maintain dashboards and reports to track KPIs and deliver clear insights to stakeholders. Conduct discovery and deep-dive analyses to support data-driven decision-making. Partner with product managers and engineers to define and measure the success of features and initiatives. Design and evaluate experiments to optimize products and enhance customer experience. Monitor and analyze customer behavior across deposits, transactions, and other banking activities. Deliver actionable insights to leadership on emerging trends and innovation opportunities. Work with analytics and backend engineers to ensure accessible, accurate, and high-quality data. Communicate findings and recommendations effectively to both technical and non-technical audiences. Continuously improve data analysis processes and methodologies. Uphold data integrity, accuracy, and governance across analytics pipelines. Support production analytics and fraud response through participation in on-call rotations. REQUIREMENTS Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Computer Science, or a related field. Experience as a data analyst for 3+ years, ideally in B2C, financial services, or technology. Strong proficiency in SQL and experience working with relational databases (e.g., Bigquery, Snowflake, Redshift, etc). Proficient in utilizing data visualization tools like Tableau, Looker, or other similar platforms. Excellent analytical and problem-solving skills with a strong attention to detail. Ability to communicate complex data insights clearly and effectively to both technical and non-technical audiences. Strong business acumen and the ability to translate business questions into data analysis plans. Experience with A/B testing and experimental design. Working experience with Python for data analysis. ADDITIONAL DESIRED SKILLS AND QUALIFICATIONS Familiarity with the fintech industry and banking products is a plus. Ability to thrive in a fast-paced, collaborative environment. Exposure to dimensional modeling concepts to power meaningful analytics. Experience building data pipelines in dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience modeling data using dbt. This role has a base salary range of $130,000 - $175,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Meaningful equity in the form of stock options 401(k) plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Flexible time off and paid holidays Generous parental leave policy Commuter benefits Fitness benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

DATA ANALYST, GROWTH Current is a leading US-based fintech company dedicated to empowering individuals to achieve their financial goals. We're committed to providing innovative and accessible financial solutions, and data plays a crucial role in driving our success. We're looking for a talented and passionate Data Analyst to join our Growth team and help us leverage data to optimize our operations, enhance our products, and deliver exceptional customer experiences. ABOUT THE ROLE As a Data Analyst on the Growth team, you will be at the forefront of understanding our customers. You'll analyze user behavior, their lifecycle, and key metrics to help improve our products, features, and onboarding flows, with the ultimate goal of increasing customer conversion and retention. Working closely with product managers, engineers, data scientists, and marketers, you'll translate business questions into actionable insights that directly impact decisions related to our Improving customer experience and overall business strategy. RESPONSIBILITIES Analyze large datasets to uncover trends, patterns, and improvement opportunities in banking products and services. Build and maintain dashboards and reports to track KPIs and deliver clear insights to stakeholders. Conduct discovery and deep-dive analyses to support data-driven decision-making. Partner with product managers and engineers to define and measure the success of features and initiatives. Design and evaluate experiments to optimize products and enhance customer experience. Monitor and analyze customer behavior across their lifecycle. Deliver actionable insights to leadership on emerging trends and innovation opportunities. Work with analytics and backend engineers to ensure accessible, accurate, and high-quality data. Communicate findings and recommendations effectively to both technical and non-technical audiences. Continuously improve data analysis processes and methodologies. Uphold data integrity, accuracy, and governance across analytics pipelines. Support production analytics and fraud response through participation in on-call rotations. REQUIREMENTS Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Computer Science, or a related field. Experience as a data analyst for 3+ years, ideally in B2C, financial services, or technology. Strong proficiency in SQL and experience working with relational databases (e.g., Bigquery, Snowflake, Redshift, etc). Proficient in utilizing data visualization tools like Tableau, Looker, or other similar platforms. Excellent analytical and problem-solving skills with a strong attention to detail. Ability to communicate complex data insights clearly and effectively to both technical and non-technical audiences. Strong business acumen and the ability to translate business questions into data analysis plans. Experience with A/B testing and experimental design. Working experience with Python for data analysis. ADDITIONAL DESIRED SKILLS AND QUALIFICATIONS Familiarity with the fintech industry and banking products is a plus. Ability to thrive in a fast-paced, collaborative environment. Exposure to dimensional modeling concepts to power meaningful analytics. Experience building data pipelines in dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience modeling data using dbt. This role has a base salary range of $130,000 - $175,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Meaningful equity in the form of stock options 401(k) plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Flexible time off and paid holidays Generous parental leave policy Commuter benefits Fitness benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

Senior Data Scientist About Current Current is a leading U.S. fintech serving people who have been overlooked by traditional banks. We are one of the fastest-growing companies with nearly 4 million members. Headquartered in NYC, our results-driven environment empowers our team to build better products, grow faster, and have a direct impact on our mission to improve financial outcomes for our members. About the Role At Current, data is at the core of everything we do. As a Senior Data Scientist on the Data and Growth teams, you will focus on machine learning modeling to build predictive models that help us understand our customers better, improve user experience, and efficiently acquire and retain members. This is a hands-on role focused on solving complex problems, developing and deploying ML models, and driving data-driven decision-making. Your day-to-day will involve analyzing, preparing, and structuring data; building and optimizing predictive models; leveraging clustering algorithms; and collaborating with cross-functional teams (Product, Engineering, Marketing) to integrate ML solutions into customer-focused strategies and processes. Responsibilities Design, develop, and deploy predictive classification and regression models, along with anomaly detection models and algorithms. Conduct extensive EDA, feature engineering, and data preprocessing to ensure high-quality input for ML models. Evaluate and optimize model performance using statistical and ML techniques. Design and execute A/B tests to measure and validate model impact. Perform customer segmentation using various clustering techniques. Develop and implement model monitoring dashboards and establish model governance techniques. Collaborate with Analytics, Product, Engineering, and Marketing teams to seamlessly integrate predictive models into workflows. Work with the ML Engineering team to ensure efficient data pipelines and scalable model deployment. Analyze diverse datasets to extract meaningful insights and patterns, identifying actionable opportunities for optimization and innovation. Qualifications About You 5+ years of experience in data science with a strong emphasis on machine learning modeling. Proficiency in Python for data analysis and ML, with experience using libraries such as Scikit-Learn, XGBoost, TensorFlow, or PyTorch. Expertise in SQL and working with large, complex structured and semi-structured datasets. Strong understanding of core machine learning techniques, including logistic regression, gradient boosting, decision trees, and clustering methods. Experience in feature engineering, model selection, and performance optimization. Experienced in designing, executing, analyzing, and reporting on experiments. Strong communication skills and ability to present findings to technical and non-technical stakeholders. Master’s or higher degree in Data Science, Computer Science, Statistics, or a related field is preferred. Preferred Skills & Qualifications Experience working in fintech, e-commerce, or other data-rich consumer-facing industries. Familiarity with Google Cloud Platform (GCP) services, particularly Vertex AI and Dataflow, for scalable data processing and model training. Experience with dbt for data modeling. Familiarity with BigQuery or other MPP (Massively Parallel Processing) databases. Experience using the Scala programming language for developing scalable and efficient data pipelines. Benefits Competitive salary Stock options 401(k) savings plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Unlimited time off and paid holidays Generous parental leave policy Commuter benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches This role has a base salary range of $170,000.00 - $220,000.00. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.

The Opportunity We are seeking a sales-oriented Staff Data Scientist – think Sales Engineer, but for Data Science – who can lead complex, cross-functional initiatives and communicate deep technical nuance to sophisticated, but non-technical audiences. You will function as a strategic bridge between our Data Science and Growth teams, not only giving voice to analyses but proactively identifying and mitigating project risks weeks in advance. You should be an effective coordinator across verticals and a strategic thinker with a deep understanding of current business needs and industry trends. The role will leverage and extend our analytic platform to design an ecosystem of explanatory tooling that will provide an explicability layer for our underwriting models. You will align these interpretability projects with an evolving and highly seasonal go-to-market motion, utilizing GenAI as a strategic thought partner to accelerate system design. Additionally, you will influence the strategy and technical choices that impact the company’s financial offer, sales motion and risk management framework, by providing high-level feedback to colleagues on how we can further differentiate and elevate Pearl’s offerings in a competitive sales environment while intelligently managing Pearl’s financial exposure. Who We Are Pearl Health is dedicated to empowering primary care providers, health systems, and physician-led networks to succeed in the shift to value-based care. Our platform delivers the technology, financial tools, and expert services that enable practices to provide more proactive, effective care to their Medicare patients, ultimately lowering costs and improving health outcomes. Founded in 2020, we are a team of healthcare and technology innovators backed by premier investors like Andreessen Horowitz, Viking Global Investors, and AlleyCorp. We partner with thousands of providers across 44 states to build a more sustainable future for American healthcare. What a Data Scientist, Growth is responsible for (during the sales season): Engaging with sales leads as a “human explicability layer,” up-leveling understanding for non-technical audiences to ensure that complex underwriting results are communicated clearly to drive sales. While you will have direct contact with prospects, you will also identify opportunities to automate explicability through robust technical systems. Crucially, you will use points of friction or resonance observed in the field to inspire the roadmap for our core ML team, ensuring our models and features evolve in direct response to market needs and stakeholder feedback. Leading complex and dynamic collaborations between the Data Science and Growth teams. This requires not just organizing resources, but proactively identifying and mitigating risks to ensure SLAs are met or exceeded. Helping us refine the competitiveness of our value-based care contracts. You will anticipate stakeholder needs and provide strategic guidance on which aspects of our sales offerings are compelling, proactively proposing new work based on these business insights. Ensuring quality and availability of various data sources. You will set standards for code quality and reproducibility regarding lead information, sales touchpoints, and financial analyses. What a Data Scientist, Growth is responsible for (outside of the sales season): Leveraging a deep understanding of ML concepts (e.g., using SHAP or feature importance but also less formal quantitative instinct) to consult on the application of payment models. You will develop a deep orientation to the core team’s outputs, ensuring our financial logic is both accurate and explainable for provider-facing scenarios. Designing and engineering analytics tooling to stress-test our underwriting outputs. You will use your technical expertise to contemplate where models may be weak and investigate corner cases, ensuring our growth motion is supported by high-fidelity, defensible data in the upcoming season. Deepening knowledge of healthcare models. Developing a deep understanding of industry trends (e.g., LEAD, REACH, MSSP, Medicare Advantage) and data heterogeneity to align with Pearl's strategic roadmap. Evaluating vendors and technologies. Participating in evaluations for core technologies to help us better understand our customers and the market. Who You Are 8+ years of experience in performing results-driven quantitative analysis in a healthcare management or professional consulting environment. A degree in statistics, applied math, computer science, engineering or a related field (e.g., healthcare policy) is strongly preferred. SQL expertise and strong foundation in at least one of the main data science programming languages (Python, R, Julia, Scala, Matlab). Python is our current primary language and is preferred. Eloquent communicator who can communicate deep technical nuance to internal teams while up-leveling understanding for lay audiences. Relish synthesizing the complexity of the healthcare/financial ecosystem into actionable insights that provide value to providers. A proven mentor who fosters a culture of technical rigor and mentors more junior team members. A proven ability to apply research and analytic models to inform growth operations, with a high "hit rate" that indicates accurate intuition for promising nascent research. Our Values 🤝 Collaborate to Innovate: We believe the best solutions arise from intelligent teamwork. We trust the expertise of our teammates and pursue opportunities to learn and grow from each other. By embracing diverse perspectives and encouraging authenticity, we create and evangelize groundbreaking health solutions. 🗣️ Trust Through Transparency: We prioritize transparency in all our interactions, ensuring that employees, patients, clinicians and partners have access to the information they need to make informed decisions. Integrity is at the core of how we operate, from building products to fostering relationships, and is crucial to our ability to communicate openly and gain trust. ❤️ Serious Impact, Big Heart: We go above and beyond with our efforts to empower proactive, patient-centered care — and we celebrate every step forward. Humor and positivity fuel our creativity, strengthen relationships, and remind us to acknowledge the journey as much as the destination. We are an Equal Opportunity Employer on a mission to improve lives. Our strength comes from the diverse backgrounds, experiences, and perspectives of our team. We welcome all candidates and are committed to a fair, inclusive hiring process free from discrimination. What We Offer The expected offer for this role includes the following components: Base Salary Range: $160,000 - $200,000 per year. Additional Compensation: This role is eligible for a discretionary performance bonus and equity options. Benefits: We offer a competitive benefits package. More on our careers page. Final compensation for this role will be determined by a variety of factors, including a candidate's relevant skills, experience, labor market conditions, and location. Agency Submissions We are not currently working with contingency search firms. If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired. The Interview Process While steps may vary by role, you can typically expect: Recruiter Screen: An intro call to discuss your background and motivations. Technical Assessment: A technical take-home via Coderbyte. Hiring Manager Interview: A deeper-dive conversation with your potential manager. Panel Interview: A round of meetings with teammates and cross-functional partners. Executive Interviews: Final conversations with 1-2 of our leaders.

Position Summary Focus Partners Wealth is seeking a Data Services Specialist. This role plays a pivotal role in ensuring the integrity and accuracy of client information within our core operating systems, catering to both BSW and BSP end clients. Responsibilities encompass processing requests via Salesforce workflows, utilizing administrative tools within core systems, conducting data analysis, and delivering clear explanations to advisors and end-users. As a key custodian of client data, this role not only fulfills essential day-to-day functions but also evolves to demonstrate expertise in specific areas over time. The precision and reliability of client data management are paramount to our company’s core values, reflecting our unwavering commitment to data integrity. Focus provides team members the flexibility to work a hybrid schedule. Our hybrid model is defined as 3 days in office work required per week, while giving team members the option to work remotely 2 day per week, or as assigned by their team leader. Primary Responsibilities Support all team members in essential duties and responsibilities related to Data Services. Proficiently analyze and troubleshoot complex issues related to positions and portfolios, effectively communicating solutions to advisory teams. Analyze processes and procedures to identify improvements or efficiencies. Coordinate with relevant teams to establish and maintain effective communication channels and workflows. to establish new download interfaces. Research, analyze, and reconcile data while assisting with inbox tasks and Quarterly Reports. Continuously learn about the business through job shadowing and educational opportunities, upholding the firm’s core values. Classify securities using the standard and guidelines established by our investment team. Provide expertise in data processing and supporting knowledge transfer to other teams. Consistently achieve Associate Goals and actively contribute to executing Team Plans within the department. Demonstrate a comprehensive understanding of all business practices within the department and the organization. Oversee the Heldaway assets, addressing aggregation issues and performing manual reconciliation as needed. Perform advanced cost basis functions, including updating missing data, troubleshooting discrepancies, and accounting disposal methods. Perform regular audits to maintain data integrity in Orion, continually seeking to enhance existing processes and develop new audit processes. Manage workflows through various platforms and systems, ensuring efficient operation across all channels. Qualifications Bachelor’s degree or relevant experience in data management, preferably within the financial services industry. Proficiency with Windows Operating systems and Microsoft Office suite. Familiarity with key tools such as Orion, Custodian platforms, Salesforce, and other Portfolio Management tools. Strong organizational skills, thriving in fast-paced environments. Positive attitude towards continuous learning and professional development. Demonstrated expertise and success in Client Data Services Specialist II role or equivalent. Excellent verbal and written communication skills. Effective people skills, capable of engaging with individuals of diverse backgrounds and expertise levels. Proven history of punctuality and meeting deadlines. The annualized base pay range for this role is expected to be $50,000 - $60,000 per year. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus and a comprehensive benefits package.#LI-JS1 Focus is a leading partnership of fiduciary wealth management and related financial services firms. Focus provides access to best practices, greater resources, and continuity planning for its affiliated advisory firms, which serve individuals, families, employers, and institutions with comprehensive financial services. Focus firms and their clients benefit from the solutions, synergies, scale, economics, and best practices offered by Focus to achieve their business objectives. For more information about Focus, please visit www.focusfinancialpartners.com . Focus Partners Wealth is an organization of wealth, asset, and business management resources that brings strength, innovation, and partnership to client relationships. Through a comprehensive range of services, we work with clients at every stage, helping them control their financial future — whether that’s planning for retirement, preparing the next generation, or growing their business. We are dedicated to fostering meaningful growth for our clients. Our team of advisors works collectively to deliver personalized wealth planning strategies across local communities, placing our clients’ values, goals, motivations, and priorities at the heart of everything we do. Focus Partners Wealth is a registered investment advisor with the Securities and Exchange Commission. Registration does not imply any level of skill or training. Additional information about Focus Partners Wealth is also available on the SEC's website at www.advisorinfo.sec.gov . For Indiana Applicants: It is unlawful for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For Maryland Applicants: I UNDERSTAND THAT UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT OR CONTINUED EMPLOYMENT, THAT ANY INDIVIDUAL SUBMIT TO OR TAKE A POLYGRAP OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100. For California Applicants: Information on your California privacy rights can be found here For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this shall be subject to criminal penalties and civil liability. For Montana Applicants: If hired, the employment relationship is governed by the Wrongful Discharge from Employment Act. Mont. Code Ann. Section 39-2-901. For Rhode Island Applicants: Focus is subject to Chapters 29-38 of Title 28 of the General Laws of Rhode Island and is therefore covered by the state’s workers’ compensation law. If you willfully provide false information about your ability to perform the essential functions of the job, with or without reasonable accommodations, you may be barred from filing a claim under the provisions of the Workers’ Compensation Act of the State of Rhode Island if the false information is directly related to the personal injury that is the basis for the new claim for compensation. The Company complies fully with the Americans with Disabilities Act.

Are you interested in shaping the future of transportation? Consider joining the Leidos team operating FHWA’s Saxton Transportation Operations Laboratory (STOL) , a USDOT research lab focused on the improvement of transportation operations, safety, mobility, and environmental impacts. STOL provides a variety of services to support the advancement and adoption of emerging technologies, including automation and communication in vehicles and on the roadside. Location: This role requires full-time on-site work at the customer site in McLean, VA. Learn about STOL here : https://highways.dot.gov/turner-fairbank-highway-research-center/labs/STOL Candidates MUST: All applicants must be legally authorized to work in the United States with proof of legal status and be eligible for a Public Trust Clearance which includes three consecutive years in the United States within the last five years. Leidos is seeking a highly skilled Transportation Data Scientist to support FHWA-funded projects at the intersection of AI, data science, and transportation. This role will focus on developing and deploying AI/ML models for applications such as vehicle load classification using weigh-in-motion (WIM) data and imagery, crash prediction in traffic management centers (TMCs), and creating data ecosystems for trustworthy AI. The ideal candidate will have hands-on experience in AI model development, data integration, and stakeholder engagement, with a passion for identifying new opportunities to apply AI in state-level transportation initiatives. This position offers the chance to drive innovation in a dynamic, federally supported research environment. Primary Responsibilities Conduct data and literature reviews, including targeted searches for AI methods, datasets, and technologies relevant to freight analytics, traffic safety, and operations (e.g., sensor fusion, computer vision, and multimodal AI).Prepare and integrate datasets for AI use cases, including cleaning, normalizing, enriching, and fusing multi-source data (e.g., traffic logs, imagery, weather, and permitting records) while addressing quality issues like inconsistency, sparsity, and bias. Lead the design, development, and deployment of AI/ML models for transportation applications, including classifying oversized/overweight (OS/OW) vehicles using WIM data and imagery, crash prediction in TMCs, and generating synthetic data for model training.Evaluate AI model performance under diverse conditions, such as varying data quality levels, and provide recommendations for improving model robustness, scalability, and trustworthiness in real-world transportation environments. Support stakeholder outreach and engagement, including organizing peer exchanges, workshops, and technical briefings with state DOTs, MPOs, enforcement agencies, and vendors to gather insights on AI applications in WIM systems, permitting integration, and crash prediction.Identify and pursue new opportunities with state DOTs for AI initiatives, including contributions to developing roadmaps, proposals, and implementation strategies for AI in ITS, such as anomaly detection, traffic optimization, and safety analytics. Collaborate with cross-functional teams to ensure project alignment with FHWA goals, including risk management, quality assurance, and compliance with federal standards.Provide technical leadership in monthly progress reporting, risk mitigation, and iterative model refinement based on federal feedback. Required Qualifications Bachelor’s degree in computer science, Data Science, Artificial Intelligence, Electrical Engineering, Transportation Engineering, or a related field; Master's or Ph.D. preferred. 5+ years of professional experience in data science and AI/ML, with demonstrated expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), data processing tools (e.g., Pandas, NumPy), and AI techniques (e.g., deep learning, generative AI like GANs, computer vision). Must have experience collaborating with state and local DOTs - developing new customers / Business Development experience Must have a minimum of at least 2+ years of relevant non-academic experience. Proven experience in data preparation and integration, including ETL processes, handling multimodal data (e.g., imagery, sensor data, time-series), and addressing data quality challenges in real-world applications. Strong analytical skills with experience in model evaluation metrics (e.g., AUC, accuracy, scalability) and testing AI systems under varied conditions.Excellent communication and collaboration skills, with experience in stakeholder engagement, technical reporting, and presenting complex AI concepts to non-technical audiences. Ability to work in a fast-paced, research-oriented environment with travel up to 20% for stakeholder meetings and site visits.Ability to obtain and maintain a Public Trust clearance (which includes three years of immediate residency in the US). All applicants must be legally authorized to work in the United States without company sponsorship. Preferred Qualifications Prior experience working with state DOTs or federal transportation agencies (e.g., FHWA, USDOT) on AI initiatives, including developing AI roadmaps, implementations, or evaluations in ITS. Demonstrated hands-on experience proposing, designing, developing, and deploying AI systems within ITS, such as for freight classification, traffic crash prediction, or WIM data analysis.Familiarity with transportation-specific data sources (e.g., HSIS, SHRP2, NGSIM) and standards (e.g., SAE J2735 for V2X). Experience in synthetic data generation, generative AI (e.g., LLMs), or physics-informed ML for transportation applications.Knowledge of federal AI governance, risk management, and equity considerations in transportation. Project management experience, including leading AI tasks in multi-agency initiatives or contributing to communities of practice (CoPs).Publications or presentations in AI/transportation conferences (e.g., TRB, ITS America). Anticipated salary range for this role is $95,000-$130,000 At Leidos, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.” If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in. Original Posting: October 3, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Regional Vice President, Sales - CoStar Data & Analytics – San Francisco, CA or Denver, CO Job Description Who is CoStar Group? CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. Why CoStar? Proven Success : 90%+ average customer renewal rate and consistent 10%+ year-over-year growth. High Rewards : Competitive base salary with uncapped commissions, exceptional benefits, and exclusive incentives like our annual President’s Club retreat at a luxury destination for top performers. Career Development : Comprehensive onboarding and training experience with a clear path for growth, where top performers enjoy long-term career advancement. Innovative Tools : Access to industry-leading products that give you a competitive edge. Role Overview As a CoStar Regional Vice President (RVP) you will have the overall responsibility for continuing the momentum of rapid revenue growth of our West Coast region . You will lead a team of Regional Sales Directors and Sales Executives to achieve revenue growth goals, maintain renewal goals and expand revenue opportunities by growing the number of territories, further penetrating into the vertical markets and increasing cross-sales success. You will build and develop a high-performing sales organization and culture in your region. To be successful, you will inspire and create excitement with the customer base and sales prospects, your sales teams, as well as across the entire organization and in the marketplace. You will be a tireless, high-energy professional with an entrepreneurial, risk-taking flair and will possess a brand of confidence, which allows for delegation and empowerment of your team. You must possess excellent interpersonal skills, the highest level of integrity and be able to inspire trust and confidence. Finally, you must have a level of business maturity, flexibility and intestinal fortitude to re-energize and instill a winning, “can-do” attitude within your organization . This role will be based out of our San Francisco, CA or Denver, CO office and require some travel to the markets you will oversee. Key Responsibilities Drive sales goals of double - digit annually for your region . Attract, develop and retain a strong team of Regional Directors and Sales Executives who can perform at or above CoStar’s stated goals, aggressively growing active users, achieving net new revenue goals . Work directly with a team of Regional Directors to develop them into high-performing sales leaders and provide support and guidance to help them develop their teams and increase penetration in major markets . Ensure that Regional Directors are hiring top-tier candidates, and training and developing their “A players . ” Identify and ensure training needs are met for your sales force, addressing employee skill gaps and performance issues as appropriate . Develop and implement sales plans to achieve corporate goals and enforce performance goals accordingly. Create and develop relationships with key customers to enhance retention and increase additional sales to those accounts . Constantly seek , and implement best practices in the sales function . Lead efforts to implement process controls and drive a mind-set of continuous improvement throughout your region sales organization. Establish and maintain collaborative relationships with key stakeholders including business and functional partners and the senior management team . Serve as an integral member of the senior sales leadership team assisting the executive team in the achievement of company goals . Basic Qualifications External Candidates 15+ years of experience in a sales leadership role, with 5+ years of managing managers and a direct sales organization of at least 50 employees. 10+ years of experience managing sales efforts in a highly transactional, fast-paced organization with a short cycle-time sales model. Internal Candidates Minimum 10 years of experience managing sales efforts in a highly transactional, fast-paced organization with a short cycle-time sales model. 24+ months in a people manager role at CoStar Group, with a strong track record of meeting or exceeding sales targets . All Candidates Bachelor's degree required from an accredited, not-for-profit, in-person college/university. A track record of commitment to prior employers . Candidates must possess a current and valid driver’s license . Satisfactory completion of a Driving Record/Driving Abstract check prior to start . Experience leading sales efforts in a fast-paced, consultative sales model. Experience in managing outside sales teams in a B2B environment selling data, research, and analytic platforms or tools, commercial real estate, property technology, financial services, business intelligence, marketing, information providers, or related experience preferred. Client-facing experience in the commercial real estate industry is strongly preferred. Preferred Qualifications & Skills Demonstrated ability to retain strong sales leaders, proven sales producers and performance manage non-producers. Proven ability to work across all areas of an organization to influence stakeholders and constituents and lead the team to success. Demonstrated track record of developing sales leaders. Effective relationship builder internally (peers, teams, company-wide) and externally (sales channels, customers, etc.). Ability to be flexible and adapt to changing situations at a high growth company. What’s In It For You? If you are a driven professional looking for a high-growth, high-reward career, CoStar Group offers the ideal opportunity . Be part of a best-in-class company with strong year-over-year growth that invests in your success. Enjoy a rewarding atmosphere where you can learn, excel, and grow. When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed. We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training and tuition reimbursement. Our benefits package includes (but is not limited to): Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug Life, legal, and supplementary insurance Virtual and in person mental health counseling services for individuals and family Commuter and parking benefits 401(K) retirement plan with matching contributions Employee stock purchase plan Paid time off Tuition reimbursement On-site fitness center and/or reimbursed fitness center membership costs (location dependent) Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks Pay Transparency This position offers a base salary range of $ 180 , 000 - $ 225, 000 , based on relevant skills and experience, an uncapped/generous commission plan and generous benefits. Sponsorship We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position. #LI-MM3 CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain. We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways. Are you curious about being part of our growth stor​y while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation. The Service Delivery Technician provides physical support of data center equipment in a critical environment. This role has a high level of engagement with our customers, employees, and vendors at all levels and will perform requested installations and troubleshoot tasks.Iron Mountain Data Center is looking for team members who are open to learning and growing in a fast-paced and evolving environment. High-energy, a strong sense of urgency and dedication to your team, our customers, and IMDC’s vision is required to be a success in this role. This is a full-time shift position. This is a full-time shift position, and may be required to work 1st, 2nd or 3rd shift. Responsibilities: Provide hands support for any request requiring actions within the data center space including server/network equipment racking, cabling and provide hands-on support for customer requests, on-the-job training will be provided. Monitor service management ticketing system for tasks as assigned throughout your daily shift. Tasks can include customer requests, escorting, trouble tickets, material handling, and customer installations. Proactively identify issues and take the needed steps to resolve. Key Skills, Requirements and Competencies: 0-2 years experience in a customer service or data center environment preferred, but not required. Multi tasking - we use several different systems to manage ticket queues. Work tasks can change throughout the day. Attention to detail - ability to understand and follow a documented process and Iron Mountain’s safety code, role is very process driven. Organization & prioritization - following processes and managing your time with minimal supervision to get work done efficiently and on time. Dedication & desire to learn - we would like you to grow your career within Iron Mountain. Customer service mentality - we are customer obsessed. Opportunities for overtime work will be available. Working hours are varied and nights, weekends and holidays may be required. The ability to obtain security clearance via government or other agency background check may be required for customer support. Disclaimer: This job description is not meant to be an all-inclusive statement of every duty and responsibility of the jobholder. Certain features of this job are described in the above headings, but are not necessarily limited to the above written statements. They may be subject to review. All positions within Iron Mountain may include other duties as assigned. US: Iron Mountain is an equal opportunity employer, and does not discriminate on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, marital status, age, sexual orientation, disability, veteran status or other legally protected classifications under applicable federal, state, or local laws in making employment decisions. Category: Operations Group