Data Science Jobs 2025 (Now Hiring) – Smart Auto Apply

Overview Emerson Collective (EC) is a company of investors, changemakers, creative thinkers, and problem solvers working to make a lasting mark on the world. Emerson Collective's summer internship program places rising college sophomores, juniors, and seniors - and, for select opportunities, undergraduate students graduating in 2026 - in paid internship opportunities across Emerson Collective and our longstanding nonprofit partners XQ Institute, E Pluribus Unum, and Chicago CRED. We're looking for college students who think big, embrace challenges, and thrive in collaboration. The internship is onsite, 40 hours per week, from June 15 through August 7, 2026. A mandatory paid virtual onboarding and orientation will take place June 10-12. See below for more details. Application Deadline: Tuesday, January 6, 2026, at 2:00 PM PT / 5:00 PM ET. Applications submitted after this deadline will not be accepted. The Opportunity At Chicago CRED, we take a multifaceted approach to reducing gun violence and creating lasting change. The Datateam contributes to this mission by developing systems and processes to comprehensively track participants' progress and program activity, providing insights that strengthen program effectiveness and impact. As the Data intern, you'll help maintain and improve our Salesforce-based data system, supporting reporting and data analysis, and contribute to staff learning around data. This position offers valuable hands-on experience in data management, visualization, and applied analytics, while supporting a meaningful mission. Role and Responsibilities Assist with Salesforce data clean-up, documentation, and validation to ensure accuracy and consistency. Review existing reports and dashboards to assess utilization and identify opportunities for improvement. Conduct data quality checks. Contribute to data literacy and training materials for program staff (e.g., how to interpret dashboards, enter data correctly, etc.). Support ad hoc data analysis, visualizations, or reporting requests from program, development, and operations teams. Participate in team meetings and contribute ideas for improving data systems and workflows. Qualifications, Skills, and Requirements Rising undergraduate sophomore, junior, or senior, preferably pursuing a degree in information systems, information science, data science, business analytics, computer science, public policy, or a related field. Demonstrated interest in Chicago CRED's mission and commitment to using data to advance community-based impact. Proficiency in Excel (formulas, pivot tables, data cleaning) required; experience with Salesforce a plus. Strong quantitative and analytical skills, with the ability to identify patterns, trends, and data insights. Excellent organizational skills and attention to detail. Effective communicator who can explain technical concepts clearly to non-technical audiences. Ability to work carefully and responsibly with confidential information and sensitive data. Collaborative, adaptable, and proactive; able to work both independently and with team members in a dynamic, evolving, and passionate environment. Internship Details Compensation All interns are paid $25 per hour and can expect to work 40 hours per week from June 15 to August 7 (eight weeks). Interns will also be paid $25 per hour for onboarding and orientation sessions taking place June 10-12. All interns receive a lunch allowance and a commuter allowance, and may also receive travel and housing allowances as needed. Key Dates November 18 - January 6: Internship applications accepted; interviews begin on a rolling basis Applications must be submitted by 2:00 PM PT/5:00 PM ET on Tuesday, January 6. (Please note that not all applicants will be selected for interviews.) January 12 - March 7: Interviews continue and offers extended June 10-12: Mandatory virtual onboarding and orientation June 15: Internship program begins August 7: Internship program concludes We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platform- AWS/Azure/GCP Certification in Snowflake Certification in any ETL/ELT tool Preferred Knowledge/Skills: Demonstrates thorough knowledge and success as both team leader and member roles within a professional services firm or large enterprise. Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks,Snowflake etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and relevant work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development tools (tools: IICS/AWS Glue/Matillion/Abinitio SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos Programming using Python/Spark Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Support cross-functional teams to understand their workflow and automation needs. Design and develop scalable data warehouse solutions that meet the organization's data storage, retrieval, and analysis requirements. Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities success with managing the identification and addressing of client needs: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Contributing as a team member by understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; and, Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Your Role Placed at the heart of Gensler's People + Process + Technology the Global Design Technology Studio drives the firm's digital transformation of our creative and project delivery practices throughout the globe. Our ultimate outcome is to co-create a design technology ecosystem that enables our practitioners to leverage the most advanced methodologies and technological solutions reaching a new level of creativity and delivering the most impactful designs to our clients. So, if you are a disruptive technologist that's ready to change the world with big and impactful ideas, we want you to join our growing and innovative award-winning team! The Data + Automation Leader is a multifaceted role that provides vision, leadership, strategic value and deep tactical expertise in the design technology and digital project delivery space to our offices and projects teams globally. You will use your soft skills, relationship building and technical expertise to drive with confidence process innovation, optimization, and digital platforms implementation in partnership with your fellow studio members and the regional design technology community. Ultimately, we believe that this role is a key contributor to delivering the highest value and best outcomes to our clients. With strong emphasis on data-driven design approaches & initiatives, you will have a key global leadership role to bring the most advanced concepts, workflows, and technology to practitioners around the globe. Gensler is open to other locations for the candidate who meets all of the required and desired qualifications. Please note, you would be required to commute into the office 5 days per week. What You Will Do Define and implement innovative technology solutions with strong focus on Data-Driven approaches, Automation and Computational BIM workflows Lead strategic initiatives with strong focus on advancing data-driven approaches and establishing highly sophisticated, scalable, and integrated digital workflows Create bespoke computational solutions / code to address challenges for specific projects and / or to prototype new technology opportunities. Support and drive the development and adoption of current and future design technology Gensler IP platforms Collaborate and partner with DT-colleagues to research emerging technologies, define use-cases, and develop highly-refined prototypes in alignment with business priorities and goals Evaluate Practice + Client + Project use-cases / needs and synthesize into opportunities that improve data quality and availability from our design models Engage with practitioners and other design technology leaders to understand project and practice area needs and synthesize into build vs. buy strategies Assist in the design and development of interactive PowerBI Dashboards and tools supporting next-gen data-driven design and client engagement workflows Champion digital transformation and cultural change throughout the firm Your Qualifications Bachelor's degree in Architecture or equivalent 10+ years of experience across all project phases including various project typologies and scales with strong command of the design process Documented progressive growth and experience in leading / supporting Design Technology and innovative framework / workflows in project delivery Articulate communicator with strong storytelling ability to push new innovative concepts and ideas in a highly creative culture Strong interpersonal skills with ability to listen and drive consensus through relationship building and ability to win the trust of teammates and project teams Insatiable curiosity about new topics and challenges Documented results in developed methods / tools adoption at scale and with global perspective Demonstrated ability to develop learning material, deliver effective training and provide ongoing education and technological support to project teams Expert proficiency in design authoring platforms Rhino and Revit including advanced implementations across the project's lifecycle Proficiency with computational / generative design platforms and visual scripting / programming such as Dynamo and Grasshopper with examples of sophisticated implementations Working knowledge of AEC cloud-based products / API capabilities such as Autodesk Platform Services and Autodesk Construction Cloud Demonstrated experience with PowerBI - Dashboard Design, Data Processing, Query Creation Experience working with SQL, JSON and other database / data formats Basic Knowledge of the Revit API capabilities and limitations Proficiency with advanced geometry translations / interoperability pipelines is a plus Experience building and deploying Dynamo plugins with C# and / or Python is a plus Experience as a Product Owner / Product Manager in AEC is a plus Life at Gensler At Gensler, we are as committed to enjoying life as we are to delivering best-in-class design. From curated art exhibits to internal design competitions to "Well-being Awareness Week," our offices reflect our people's diverse interests. We encourage every person at Gensler to lead a healthy and balanced life. Our comprehensive benefits include medical, dental, vision, disability, wellness programs, flex spending, paid holidays, and paid time off. We also offer a 401k, profit sharing, employee stock ownership, and twice annual bonus opportunities. Our annual base salary range has been established based on local markets. As part of the firm's commitment to licensure and professional development, Gensler offers reimbursement for certain professional licenses and associated renewals and exam fees. In addition, we reimburse tuition for certain eligible programs or classes. We view our professional development programs as strategic investments in our future. #LI-MR1

Figure is an AI Robotics company developing a general-purpose humanoid. Our humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA, and require 5 days/week in-office collaboration. It's time to build. We are looking for an experienced Senior Data Engineer to develop and optimize our data processing infrastructure and tools, enabling deep insights from robotic system logs.In this role you will transform robot logs and other sources of data to extract information, identify patterns, provide access to the data and visualization tools. Your work will help ensure that the robot is operating reliably at maximum performance, and inform engineering design trades and decisions. Responsibilities: Develop and maintain pipelines and tools to transform robot logs to make it easier to access, visualize, and automatically detect events of interest. Optimize data processing to reduce the time needed between data offload and the availability of the data to our engineering teams. Design and optimize data storage solutions for handling complex, high-volume time-series and structured data. Build and maintain database schemas and queries to support analytics and visualization of extracted patterns. Support mechanical, electrical, software, integration and test engineers with their needs to extract and visualize data. Develop dashboards and custom data visualizations tools to enable engineers to quickly extract information from the data and track robot performance. Integrate your solutions with existing data pipelines and our robot testing framework. Requirements: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 3+ years of experience in data engineering, preferably with time-series or log data processing. Proficiency in Python with experience in Pandas, Polars, or PySpark for large-scale data processing. Strong understanding of database design, indexing, and query optimization (SQL and NoSQL). Experience handling complex data formats such as Parquet, MCAP, or protobuf. Experience building custom web based data visualization tools (JavaScript, React…) Familiarity with data visualization tools like Grafana for real-time analysis and monitoring. Experience with distributed computing frameworks and cloud-based data storage solutions. Strong debugging skills and ability to work with lab teams to interpret robotic system logs. Bonus Qualifications: Experience with CI/CD pipelines for automated data processing. Knowledge of robotics or embedded system logging frameworks. Familiarity with real-time data streaming and event-driven architectures. The US base salary range for this full-time position is between $140,000 - $350,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Ready to help us transform healthcare? Bring your true colors to blue. What We Need The senior data scientist will lead high value workstreams within Actuarial and Analytics Solutions (AAS) department and be intimately involved all phases of development, from ideation to design to build and deployment. This work includes a variety of modeling and analytics to support medical economics, payment integrity, and various other areas of finance. Additionally, they will be responsible for implementing advanced program measurements leveraging statistical analysis and developing/executing on predictive modeling use cases. Finally, they will provide mentorship to junior data scientists and analysts. Our ideal candidate is a subject matter expert in cutting edge data science techniques; experience with healthcare data, and especially claims, is a major plus. We are looking for someone to work closely with other Business Owners, Product Managers, Data Scientists, and Software Engineers to understand problems and co-own solutions. Candidates should have a track record of effectively collaborating with experts and non-experts alike. This role is eligible for our FLEX persona. Your Day-to-Day Lead the research, design, and implementation of data science solutions to support current/future business needs Anticipate and provide strategies/solutions to complex data problems or trends Evaluate and design new approaches and methodologies to solve business problems or improve efficiency Utilize statistical techniques to execute on advanced measurements of messy/noisy data Produce meaningful observations and recommendations through synthesizing data from internal and external sources Drive the design, building, and launching of new data models and data pipelines Manage the delivery of high impact dashboards and data visualizations Maintain knowledge on current and emerging developments/trends; assesses the impact and collaborates with management to incorporate new trends and development in current and future solutions Coordinate with other departmental leaders to ensure consistency and transparency in data trends, themes and findings, particularly across the areas of medical economics, trend measurement, pricing, financial planning and informatics. Effectively communicate customized views of analysis and financial impacts to senior leadership This document is not an exhaustive list of all responsibilities, skills, duties, requirements, or working conditions associated with the job. Employees may be required to perform other job-related duties. What You Bring: Deep and broad understanding of health care delivery system and health plan operations, including knowledge of Medical Economics, Trend Management, Pricing, Forecasting, Provider Payment Methodologies, and industry benchmarks. Experience with machine learning algorithms, statistical techniques, data interpretation methodologies, and deploying Predictive Models in a variety of applications Proven ability to effectively communicate with all levels of the organization. Comfort managing multiple competing priorities Strong customer focus and ability to work effectively in matrix environment. Creative problem solver - able to assess problems, develop creative solutions and see solutions to completion. Ability to think strategically, ensure execution and influence others Proven ability to produce value in high performance environment. Familiarity of software for data analysis and modeling; specifically: Python, SQL, Tableau, statistical software (R, SAS etc) Proficiency working with modern data & analytics technologies and solutions on cloud platform (Snowflake preferred) Familiarity with working in an Agile Environment and partnering closely with IT Education/Relevant Experience: Minimum of five years of health care experience in analysis, design, development and delivery of data solutions Direct experience with claims data a major plus BA/BS required; MS, MPH, PhD in relevant field considered in lieu of work experience. It is our mission at Blue Cross Blue Shield of Massachusetts to foster a culture that enables associates to do their best work while living happy and healthy lives. That's why we offer you a variety of ways to support your best physical, emotional, financial, and social well-being. For more information on our benefit offerings, visit https://careers.bluecrossma.org/us/en/benefits Minimum Education Requirements: High school degree or equivalent required unless otherwise noted above Location Boston Time Type Full time Salary Range: $155,070.00 - $189,530.00 The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs and affordability. This job is also eligible for variable pay. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and a suite of well-being benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. WHY Blue Cross Blue Shield of MA? We understand that the confidence gap and imposter syndrome can prevent amazing candidates coming our way, so please don't hesitate to apply. We'd love to hear from you. You might be just what we need for this role or possibly another one at Blue Cross Blue Shield of MA. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be brilliant. We encourage you to bring us your true colors, , your perspectives, and your experiences. It's in our differences that we will remain relentless in our pursuit to transform healthcare for ALL. As an employer, we are committed to investing in your development and providing the necessary resources to enable your success. Learn how we are dedicated to creating an inclusive and rewarding workplace that promotes excellence and provides opportunities for employees to forge their unique career path by visiting our Company Culture page. If this sounds like something you'd like to be a part of, we'd love to hear from you. You can also join our Talent Community to stay "in the know" on all things Blue. At Blue Cross Blue Shield of Massachusetts, we believe in wellness and that work/life balance is a key part of associate wellbeing. For more information on how we work and support that work/life balance visit our "How We Work" Page.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates thorough abilities and/or success in one or many of the following areas: Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making; Defining data management and data/analytics governance strategy and align data initiatives with organizational goals; Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success; Delivering strategy and transformation projects; Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand; Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About Alembic Alembic is where top engineers are solving marketing's hardest problem: proving what actually works. If you're looking for frontier technical challenges at an applied science company, this is the place. At Alembic, we're not just building software-we're decoding the chaos of modern marketing. Join Alembic to build trusted systems that Fortune 100 companies use to make multimillion-dollar decisions. We're backed by leading tech luminaries including WndrCo (founded by DreamWorks founder Jeffrey Katzenberg), Jensen Huang, Joe Montana, and many more. About the Role We're looking for an Intermediate Python Developer focused on data products to deliver production-grade data tools and APIs that eliminate integration friction and accelerate time-to-value for customers onboarding with Alembic. You'll build the SDKs, libraries, and automation tools that make it seamless for both our team and our customers to work with complex marketing data. This is a high-impact role where you'll reduce integration time from weeks to days, directly improving our customer experience and sales velocity. What You'll Do Deliver reusable Python SDKs and libraries to accelerate both internal and customer development cycles Automate data validation and transformation workflows to eliminate manual integration work Reduce time-to-first-value to under 2 weeks for new customer implementations Build robust ETL/ELT pipelines that handle diverse marketing data sources with resilience and observability Collaborate with customer-facing teams to understand integration pain points and build solutions that address them Create clear documentation and examples that make our data products easy to adopt What Will Help You Succeed Python & Data Engineering Fundamentals 3+ years writing production Python - comfortable with modern Python (3.10+), type hints, async/await, and common libraries (pandas, SQLAlchemy, Pydantic) Strong fundamentals in data structures & algorithms - can design efficient data transformations and understand performance implications PostgreSQL experience with query optimization, indexing strategies, and database design - comfortable with both ORM and raw SQL Built ETL/ELT data pipelines that move, transform, and validate data at scale Know how to make pipelines resilient, observable, and debuggable Experience validating data, handling schema evolution, and dealing with messy real-world data Development & Deployment Daily comfort with Linux environments - Bash scripting, understanding of process management, filesystem operations Dependency management (Poetry, pip-tools, or similar) - know how to manage lock files and reproducible environments Experience with CI/CD pipelines, environment configuration, and deploying services to production Nice to Haves Plugin/Extension development experience - building plugins for tools like Apache NiFi, Linear, Cursor, or similar platforms Experience with AI/ML tooling and AI coding assistants (Cursor, Copilot) in workflow Why You Might Be Excited About Alembic Hard problems with real impact: You'll tackle the hardest challenges in marketing analytics while building systems that influence multimillion-dollar decisions at Fortune 100 companies Technical autonomy: You want ownership over technical decisions and the freedom to solve complex problems your way Cutting-edge technology: Work with advanced AI/ML algorithms, composite AI solutions, private NVIDIA DGX clusters, and the latest in data processing at scale Elite team: Join top engineers who thrive on challenging problems and high-impact work Startup upside: Early-stage equity opportunity with experienced leadership and proven product-market fit Why You Might Not Be Excited If you only want to tell people what to build instead of building and coding alongside them, we're not the environment for you You prefer company practices with 100% built-out process for every detail You prefer static over dynamic. Projects, priorities, and roles will adapt to your skill set and goals. Though we have real paying customers and a playbook for growth, we proudly remain an early-stage startup

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: The Cyber Security team at Freddie Mac is searching for a strong data analyst to collaborate on developing and administering data security policies as well as safeguarding information, evaluating existing data security procedures and identifying new areas of risk for Freddie Mac. If this role sounds like a fit for your skill set, please read on, apply and learn why there is #MoreatFreddieMac ! Our Impact: We develop and train the enterprise on relevant Identity and Access Management best practices, develop and support automated IAM processes, and develop and implement ongoing IAM efficiency improvements with limited oversight by managers. The role will work closely with Enterprise partners and security control owners on IAM automation development activities and alignment of IAM processes with InfoSec maturity targets as described in the InfoSec Strategy. Your Impact: Senior Data Analyst who can develop and implement new and updated business process automation for all Identity and Access Management activities. Develop and proposes strategies to reduce security risk in the organization by implementing procedural prevention, detection, and response measures, while still enabling positive business outcomes. Comfortable supporting ad hoc data retrieval and analysis requests using SQL queries and Copilot/Excel . Creating audit-ready reference documentation. This role will allow for and support rapid AI-based extrapolation/replication of these services as future automated IAM microservices. Qualifications: Typically, 5 - 7 years of related data analysis experience Proven experience working with SQL at an enterprise level Proficient with automated data processing flows including ETL and data semantics/normalization Proficient with visual presentation tools, specifically within Microsoft PowerAutomate/PowerBI, Tableau Prep, and/or Tableau Experience working in a regulated environment Excellent written and verbal communication skills with the ability to clearly articulate in business and user-friendly languages Ability to establish credibility across the enterprise to key business stakeholders, including directors, managers, system engineers, and end users Keys to Success in this Role: Experience with other modern data analysis processes, techniques, and tools (e.g., Alteryx Designer, SQL, Collibra, etc.) Financial Services Industry experience Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC. Time-type:Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $126,000 - $190,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

Fitch Group is currently seeking a principal data scientist, Director for its Emerging Technology AI Center of excellence (COE) group based out of our NY office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group's culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world's top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we're home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a "Best Place to Work in Technology" 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference. Want to learn more about a career in technology and data at Fitch? Visit: https://careers.fitch.group/content/Technology-and-Data/ About the Team The Fitch Group Emerging technology AI Center of excellence (COE) group will be dedicated to build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization. The position could be based out of our Chicago or NY offices. Specific Emerging Technology team objectives are: Data Science and Gen AI/ML technology implementation with business and product owners Lead and support other enterprise-level AI exploration tools and capabilities Provide guidance and support for safe development and deployment of AI How You'll Make an Impact: Work closely as part of the product squads to build, integrate, and deploy GenAI and data science solutions. Ensure sharing best practices and learnings with other squad members. Lead and manage development and research projects focused on generative AI, deep learning, machine learning, NLP, and large language models. Design, develop, and deploy state-of-the-art machine learning models and algorithms that leverage deep learning, NLP and computer vision techniques. Collaborate with cross-functional teams to identify opportunities for AI-driven solutions and integrate them into existing systems and workflows. Conduct experiments to validate the performance and effectiveness of developed models and iterate on improvements based on results. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business Collaborate with MLEs to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals. Stay up to date with the latest advancements in AI, machine learning, NLP, and large language models, and apply this knowledge to drive innovation within the organization. Mentor and provide guidance to junior data scientists and researchers, fostering a culture of continuous learning and development. Contribute to the creation of intellectual property, such as patents and publications, to enhance the company's competitive edge. You May be a Good Fit if: Ph.D. or master's degree in computer science, Data Science, Machine Learning, or a related field. A minimum of 7 years of experience in data science, with a strong focus on generative AI, deep learning, machine learning, NLP, and large language models. Proven track record of developing and deploying successful deep learning and NLP models in real-world applications. Proficiency in programming languages such as Python, and experience with machine learning frameworks such as PyTorch, TensorFlow or similar. Strong understanding of natural language processing (NLP) techniques and experience with large language models like GPT, BERT, or similar. Proficiency in machine learning and deep learning algorithms such as Neural networks, multi-class classifications, decision trees, support vector machines etc. Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM's. Excellent problem-solving skills and the ability to think critically and creatively. Strong communication and leadership skills, with a demonstrated ability to work effectively in a collaborative environment. Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock, AWS S3, AWS Sage maker, Azure AI search, Azure OpenAI, Azure blob storage etc. What Would Make You Stand Out: Passionate about the power of data, GenAI and predictive analytics to drive better business outcomes for customers Proven ability to work effectively in a distributed working environment and ability to work efficiently and productively in a fast-paced environment Familiarity with credit ratings agencies, regulations, and data products around the world Outstanding written and verbal communication skills A champion of good code quality and Data science practices. Strong interpersonal skills and ability to work proactively and as a team player Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. FOR NEW YORK AND CHICAGO ROLES ONLY: Expected base pay rates for the role will be between 170,000 and 200,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch's total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch. Nearest Major Market: Manhattan Nearest Secondary Market: New York City

Job Description DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work entity within DPR. The Self Perform Work (SPW) division of DPR directly hires and manages craft workforces to perform certain scopes of work. These scopes of work include Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. This role will be the primary data analyst, supporting our SPW division. As such, you will be responsible for engaging with stakeholders throughout our SPW group, including front-line field supervisors, craft foreman, project managers, project executives, and corporate leadership. This role is responsible for working closely with cross-functional teams, building relationships, identifying pain points, creating and driving data strategies, and delivering actionable insights. This role is part of the Data Analytics (DA) team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery Be a collaborative partner with both our direct SPW business partners, as well as the many other parts of the business that SPW touches, to align DA efforts with business objectives and goals Create, maintain, and execute on the data analytics roadmap for SPW in alignment with overall goals and objectives Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive Develop and maintain relationships with business stakeholders and a deep understanding of their processes, tools, and goals. Apply your own knowledge of construction management and self-perform work to provide guidance and leadership on the development of data driven insights with our SPW business leaders, and front-line managers. Be a proactive leader in the development and implementation of solutions to current pain points. Listen to a variety of voices and comments, and develop best-in-class long-term solutions, not just quick fixes. Visualization / Storytelling: Work with stakeholders to understand and align on business requirements Create and maintain dashboards and Apps, as required Deliver actionable insights to improve business processes and drive strategic conversations Track and monitor usage metrics to understand and measure adoption/impact of analytics Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: Identify root source of data integrity issues (report, DFL, data warehouse, source system) Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: Create complex data models in visualization tools, and make transformations as needed Query Data Warehouse using SQL to quickly analyze datasets Clean data, as required Identify potential new datasets to add to the Data Warehouse Identify potential new integrations between source systems and the Data Warehouse Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation Work with Data Engineering in the development and maintenance of the data catalog Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance Follow, implement, and enhance data security and governance guidelines Create, maintain, and implement security for DFLs Review requests and grant access to DFLs, Reports, and Apps, as needed Create and maintain RLS in visualization tool, where needed Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management Complete impact analysis on reports when changes are made to source systems or tables upstream Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization Identify opportunities for data collaboration and integration between disciplines Coordinate alignment, as applicable, across other T&I groups Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing Participate in Integrated Workgroup meetings to align support functions Training / Data Literacy Train end-users on how to use and interpret information/insights on deployed dashboards/reports Train end-users on how to build reports themselves Provide "on-the-job' training to business stakeholders when needed Work with Data Engineering and others to develop and maintain tool for Self Service Analytics Increase data literacy of business stakeholders through targeted trainings and conversations Identify opportunities to improve data literacy throughout DPR Data SME Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users Ensure source of truth system(s) are identified and operational Qualifications Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience. Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes, is strongly preferred. Experience with self-perform teams, including running or managing a craft workforce, is strongly preferred. Experience with construction project controls, including Earned Value Management, productivity management, schedule management, and cost management, is strongly preferred. Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. Proven analytic skills, including data mining, evaluation, analysis, and visualization. Ability to create data models and understand dependencies between source systems. Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. Experience with consuming APIs from the client side including REST and GraphQL. Experience with SQL scripting required. Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. Demonstrated success in building trusted relationships with internal/external clients and customers. A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. Applicants: In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package. Pay Ranges based on DPR Office Locations: Phoenix, Tucson-AZ; Atlanta, GA; North Carolina; Greenville, SC; Florida; Nashville, TN, Richmond, VA : $100,332-$143,332 Sacramento, CA; San Diego, CA; Texas; Colorado; Wyoming, New Jersey; Philadelphia, PA: $110,336-$189,198 Seattle, WA; Boston, MA; DMV; SoCal: $120,399-$206,398 Bay Area, CA; Santa Clara, CA; NYC; Fremont, CA: $130,432- $223,598 DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

Job Description We are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration. You will collaborate with business leaders to understand data needs and work closely with a global engineering team to deliver scalable, timely, and high-quality data solutions that power insights and operations. Responsibilities Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams. Partner with the extended data team to define, develop, and maintain shared data models and definitions. Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems. Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery. Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance. Support incident resolution and perform root cause analysis for data-related issues. Create and maintain both business requirement and technical requirement documentation Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns. Qualifications Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities. Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST). Experience with modern data platforms like Snowflake and Microsoft Fabric. Solid understanding of Data Modeling, pipeline orchestration and performance optimization Strong problem-solving skills and ability to troubleshoot complex data issues. Excellent communication skills, with the ability to work collaboratively in a team environment. Familiarity with tools like Power BI for data visualization is a plus. Experience working with or coordinating with overseas teams is a strong plus Preferred Skills Knowledge of Airflow or other orchestration tools. Experience working with Git-based workflows and CI/CD pipelines Experience in the construction industry or a similar field is a plus but not required. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

Zoox is building advanced self-driving hardware and software solutions. To attain the utmost efficiency that the system demands, we need you - an expert who understands how to deal with telemetry data from a growing fleet of vehicles. You will be instrumental in finding & detecting performance-related trends and anomalies across the robot fleet. The Software Performance team's mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet expected system performance and software stability targets. As an automation engineer within the Software Performance team, you will create automated monitoring and analysis for performance tooling into the software release process to identify fleet-wide trends or anomalies and put detailed performance data at the fingertips of performance experts for quick and efficient investigations. In this role, you will: Automate common workflows & processes for performance data storage and analysis. Contribute to new data products to enable Engineering and Operations teams to gain access to insights from our varied and complex autonomous vehicle fleet dataset. Make data more accessible to the rest of the software organization to get insights into stability and performance issues via standardized queries, dashboards, and automated alerts. Create custom data queries on a large pool of dense performance metrics and build automation flows to extract relevant log segments for efficient triage & investigation. Work cross-functionally to create automatic detection of anomalies in performance or stability metrics across the fleet and devise automatic triage pipelines to steer them to the best owners. Qualifications 3+ years of professional experience in software development or related fields and BS in computer science or related field Proficient with building data pipelines that ingest very large amounts of data from vehicles and structure it in ways that is quick and easy to execute queries on Strong knowledge of Python & SQL and continuous integration systems (Github/Gitlab CI, Jenkins, etc) Savvy with efficient queries on data platforms such as DataBricks, Looker, and with ETL pipelines Solid statistical inference skills, with the ability to communicate uncertainty appropriately to engineering and business stakeholders Bonus Qualifications Familiarity with Git and Bazel Proficiency with LLMs and agentic AI for process automation Experience with large-scale vehicle or device health telemetry $166,000 - $230,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Us Resonance is transforming the fashion industry by building a more sustainable and valuable ecosystem for designers, brands, manufacturers, consumers, and the planet. Our AI-powered operating system, ONE, empowers brands to design, sell, and make products efficiently and sustainably. Resonance ONE drives end-to-end garment creation with minimal environmental impact, eliminating overproduction and unnecessary inventory. With headquarters in New York City and Santiago, Dominican Republic, Resonance partners with leading brands-including THE KIT and Rebecca Minkoff-to significantly reduce resource use: 97% less dye, 70% less water, and 50% less material compared to traditional fashion brands. About the Role We're seeking a talented Data and Analytics Engineer to build, maintain, and scale our data infrastructure. You'll play a crucial role in shaping our analytical capabilities, enabling Resonance to leverage data-driven insights effectively across our complex, integrated technology stack. In this role, you'll develop and maintain robust ELT pipelines, transforming data from diverse sources-including telemetry data, Shopify, SendGrid, CreateOne, and other internal platforms-into structured, accessible datasets within Snowflake. Additionally, you'll craft sophisticated LookML models to power interactive analytics, dashboards, and explorers used daily by our business teams. Responsibilities Design, build, and maintain scalable ELT pipelines that reliably transform raw data from sources such as Shopify, SendGrid, telemetry services, and proprietary applications (CreateOne) into our Snowflake data lake and data warehouses. Create efficient, maintainable data models within Snowflake that serve as the foundation for analytics, reporting, and data-driven decision-making. Develop and refine LookML models, enabling intuitive exploration, dashboards, and actionable analytics for non-technical business users. Collaborate closely with product teams, engineers, and business stakeholders to identify data needs, gather requirements, and deliver high-impactdata solutions. Continuously improve data quality, governance, and accessibility, implementing best practices for data management and compliance. Proactively monitor and optimize ELT performance, reliability, and cost-effectiveness. Stay updated on the latest data engineering technologies, approaches, and analytics tools to ensure Resonance maintains industry-leading capabilities. Minimum Qualifications 4+ years of relevant experience in data engineering, analytics engineering, or a related field. Strong proficiency in building robust ELT/ETL data pipelines using modern tools and practices. Hands-on experience with Snowflake or similar cloud data warehousing platforms. Proficiency with SQL and database modeling techniques for analytics. Experience building analytics layers and semantic models (LookML strongly preferred; experience with similar BI tools like dbt or Tableau considered). Familiarity integrating data from external sources such as Shopify, SendGrid, or other SaaS platforms. Strong analytical mindset, problem-solving capabilities, and attention to detail. Excellent collaboration and communication skills in remote, cross- functional environments. Preferred Qualifications Previous startup or rapid-growth environment experience. Advanced knowledge of Snowflake performance optimization and cost management. Experience with Looker, LookML, and creating intuitive, interactive analytics products. Familiarity with Python scripting for data pipelines and automation. Interest or experience in sustainability, e-commerce, fashion-tech, or manufacturing domains. We offer comprehensive benefits (medical, dental, and vision), competitive salary, equity participation, and remote work flexibility. Resonance Companies is an equal opportunity employer committed to diversity, inclusion, and innovation. All employment decisions are based solely on qualifications, merit, and business need.

The Theory and Modeling Group at the Center for Nanoscale Materials (CNM) seeks an outstanding Assistant Scientist to lead and support frontier research at the intersection of AI/ML, data infrastructure, autonomous systems, and materials science. You will develop and apply advanced data-driven methodologies to accelerate discovery in materials design, characterization, and synthesis. The role combines self-directed and collaborative research aligned with CNM strategic themes, alongside scientific support for CNM users. CNM is a DOE Office of Science user facility that provides researchers worldwide with world-class expertise and instrumentation for multidisciplinary nanoscience and nanotechnology. Learn more about CNM themes at: https://cnm.anl.gov Focus Areas (expertise in one or more is highly desirable) AI/ML for predictive modeling and inverse design of nanomaterials Autonomous laboratories for materials synthesis and characterization Generative models, reinforcement learning, and agent-based approaches to streamline experimentation and accelerate discovery Integration of HPC, data infrastructure, and ML pipelines for data-driven and autonomous research Digital twins and simulation-augmented AI tools Interfacing AI tools with experimental facilities at CNM and Argonne Key Responsibilities Research leadership (50%) Develop and lead an independent and collaborative research program in computational materials science aligned with CNM strategic themes and the DOE mission Publish in refereed journals and present at conferences, symposia, and seminars Contribute to proposal development and assist with execution and reporting for CNM, DOE, and other sponsors User program engagement (50%) Establish and maintain a vibrant, productive collaboration program with CNM users Provide scientific and technical support for user computational projects to ensure successful execution and growth of user-led research Computational and HPC support Support end-users with HPC operations and maintenance issues, job optimization and scheduling, workflow understanding, and software installation Collaboration and mentorship Collaborate with internal and external researchers to drive innovation in nanoscience and nanotechnology Contribute to CNM's strategic scientific directions through pioneering R&D. Provide work direction and mentorship to postdoctoral appointees, research assistants, students, and technical staff Professional growth and operations Work toward promotion from Assistant Scientist to Scientist Manage vendor relationships as needed (hardware, cloud, managed support services) Safety, security, and stewardship Execute all activities in compliance with Argonne's ES&H policies, Safeguards and Security policies, work rules, and safe practices Position Requirements Ph.D. in Materials Science, Physics, Chemistry, Chemical Engineering, Electrical Engineering, or a related field Proven research track record in computational materials science and AI/ML, with applications in areas such as quantum information science, energy capture/storage/conversion, or microelectronics Demonstrated ability to formulate scientific problems in the design and theory of nanoscale systems relevant to the DOE portfolio Considerable skill in data management and high-performance computing, including workflow design and optimization Strong oral and written communication skills, with the ability to work effectively with internal and external collaborators to achieve established goals Demonstrated ability to collaborate in a multidisciplinary environment and provide scientific guidance to a diverse research community Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork How to Apply Submit the following materials via the Argonne National Laboratory careers portal: Cover letter detailing how your experience and expertise align with and will contribute to this position Curriculum vitae with publication list and contact information for three professional references 2-page research statement outlining proposed research directions 1-page statement describing your approach to engaging and growing the CNM scientific user program RD2: Bachelors and 5+ years of experience, Masters and 3+ years, or PhD and 0+ years, or equivalent Job Family Research Development (RD) Job Profile Materials/Ceramics/Metallurgical 2 Worker Type Regular Time Type Full time The expected hiring range for this position is $90,063.00 - $143,010.27. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here to view Argonne employee benefits! As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law. Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department. All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

Who are we? Equinix is the world's digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future. Joining our operations team means being at the center of everything - maintaining and evolving critical infrastructure that powers the digital world and delivers real impact for our customers, communities and society. You'll find belonging, purpose, and a team that welcomes you-because when you feel valued, you're empowered to do your best work. Position Summary Equinix Emerging Talent, Military Program providing service members with transition assistance to the civilian workforce. This is part of the DoD SkillBridge Program, offering transitioning service members hands-on experience in Equinix's data center operations. Interns will support routine and semi-routine tasks related to customer installations, infrastructure maintenance, and service delivery within the IBX (International Business Exchange) data centers. Are you a military service member within or nearing your 180-day window for separation from active duty? Are you a military spouse fellow wanting to engage a technology career? If this is you, then Equinix has a unique opportunity to help kick-start the next chapter in your professional life. Please note: This program is exclusively for Military Spouse Fellows or Active-duty U.S. military personnel transitioning out of the military to civilian workforce. Who are we? Equinix is the world's digital infrastructure company, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. Joining our operations team means that you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. Key Responsibilities Ticketing & Troubleshooting Manage and resolve customer support requests and service tickets Accurately track tasks using the ticketing system Troubleshoot network and equipment issues; escalate when necessary Collaborate with cross-functional teams to resolve technical challenges Hardware Installations Perform "rack and stack" installations of customer equipment Follow detailed installation plans and wiring diagrams Install structured cabling (fiber and copper), cable trays, cages, and cabinets Identify and report infrastructure capacity or cabling concerns Testing & Quality Checks Conduct layer 1-3 connectivity tests (e.g., network cables, fiber optics) Perform quality checks on own and team installations Maintain detailed documentation of all work performed Customer Interaction Provide professional, helpful on-site customer support Communicate clear timelines and progress updates Escort customers and vendors for access and safety compliance Team & Project Support Contribute to team projects and installations Coordinate with vendors and internal teams to ensure timely execution Support dispatching, inventory checks, and alarm escalations as needed Learning Objectives Deepen technical expertise in data center infrastructure and operations Gain experience in structured cabling, network testing, and troubleshooting Enhance customer service and communication skills in a technical environment Understand project coordination and cross-functional collaboration Qualifications Active-duty military member or Military Spouse approved for SkillBridge or MSCAP participation Technical or Non-Technical MOS, NEC, or AFSC High school diploma or equivalent 2-4 years of experience in technical support, IT, telecom, or data center operations Ability to read wiring schematics and installation plans Experience with fiber and coaxial terminations preferred Strong attention to detail and documentation skills Comfortable working in a physical, hands-on environment Training & Evaluation Interns will follow a customized Education/Training Plan Monthly evaluations will be conducted by the supervisor Final evaluation will assess learning outcomes and program effectiveness The targeted pay range for this position in the following location is / locations are: United States- DA11 Dallas : 53,000 - 79,000 USD / Annual United States- AT1 Atlanta : 53,000 - 79,000 USD / Annual United States- MI1 Miami : 53,000 - 79,000 USD / Annual United States- SV12 Silicon Valley : 64,000 - 96,000 USD / Annual United States- LA4 Los Angeles : 58,000 - 88,000 USD / Annual United States- CH4 Chicago : 58,000 - 88,000 USD / Annual United States- NY3 New York City : 58,000 - 88,000 USD / Annual United States- DE2 Denver : 53,000 - 79,000 USD / Annual United States- SE3 Seattle : 58,000 - 88,000 USD / Annual United States- DC12 Washington DC : 58,000 - 88,000 USD / Annual Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position. Equinix Benefits As an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we're providing you with the best package possible. So, wherever you are in your career and life, you'll be able to enhance your experience and bring your whole self to work. Employee Assistance Program: An Employee Assistance program is available to all employees. US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members.- Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future.- Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms. Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

About Us: The Daily Beast delivers award-winning original reporting and sharp opinions in politics, pop culture, and world news. We reach more than 20 million readers per month and are based in New York as an operating business of IAC. The Role: Media on the internet is at an inflection point. Success requires data-driven decision making in ways it never has before - and we recognize that. We're looking for a Data Engineer to own how we collect, store, and use data across the organization. There's foundational infrastructure work to tackle first, but this role extends well beyond that - you'll explore creative ways to leverage data once the foundation is solid. Your work will directly enable leadership to incorporate more data into strategic decisions across editorial, product, and revenue. This role reports directly to the CTO, who will be reviewing applications directly - no recruiters in between. You'll have real ownership from day one, direct access to leadership, and the chance to work with smart people who care about getting things done. No endless meetings, no approval chains, no politics - just interesting problems and the autonomy to solve them. Who You Are: You're pragmatic and outcome-driven. You know when to build custom solutions and when to leverage existing tools. You thrive in environments where you can take ownership, make decisions, and see direct impact - not ones where you're drowning in process. You're familiar with the modern data stack and can evaluate vendors intelligently. You're fluent with AI tools and use them to work faster and smarter - writing code faster, debugging more efficiently, and exploring solutions more quickly. You're comfortable with ambiguity and prefer iterative approaches - ship something that works, learn from it, and improve it. You want to work somewhere that respects your time and intelligence. You'd rather have one direct conversation with the CTO than ten status update meetings with middle management. What You'll Do: Own Our Data Infrastructure- Take ownership of how we collect, store, and transform data. This includes migrating some data outliers to GCP and implementing a modern data stack using BigQuery, dbt, and Dagster-but it doesn't stop there. Enable Data-Driven Strategy- Your work will directly impact how leadership makes decisions about editorial content, revenue strategy, and product direction. Evaluate and Implement Vendor Solutions- Research, test, and recommend tools for our data stack. We lean on vendors when it makes sense-you'll help us figure out what to build, what to buy, and what to integrate. Define Our Data Future- Establish best practices, build reliable pipelines, and create the systems that will scale with us. Drive Toward Outcomes- Take ownership of projects from start to finish. We care about impact, not perfection. Find Creative Uses for Data- Look for opportunities to surface more sources of data and automate workflows to save everyone time. What You'll Bring: Several years of professional experience building data pipelines, ETL/ELT workflows, and working with production data systems Experience with cloud data warehouses, transformation tools, orchestration platforms, and ingestion tools You actively use AI tools to accelerate your work-you see AI as a productivity multiplier, not a crutch Pragmatic problem-solving: you balance quick wins with long-term architecture decisions Bias for action: you'd rather ship something and iterate than wait for the perfect plan Strong communication skills with both technical and non-technical stakeholders More talent than tenure? We care about what you can build, not just your resume. Why Work for Us? The Daily Beast is a globally recognized publication at IAC HQ in New York City. As part of IAC, we offer best-in-class benefits, including: Flexible vacation Hybrid working model with flexibility for remote work Comprehensive, employer-subsidized insurance plans Pre-tax commuter benefits 401(k) matching Tuition reimbursement Pay Range Salary The pay range for this position is $150,000 - $180,000. The range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors including but not limited to work location, experience, and other factors. The Daily Beast is a globally recognized publication at IAC with our headquarters in New York City. Additional Information Don't meet every single requirement listed here? If you're interested in joining the Beast but your past experience doesn't align perfectly with this job description, we encourage you to give it a shot all the same. It might turn out that you're just the right candidate for this or other roles. See more about our commitment to diversity at https://www.thedailybeast.com/company/diversity We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. #DataEngineering #DataEngineer #BigQuery #dbt #GCP #DataStack #MediaTech #NewYorkJobs #HybridWork #DataInfrastructure #AI #CloudEngineering

CRM Data Cleanup Intern Position Overview: The CRM Data Cleanup Intern will play a critical role in enhancing the accuracy, consistency, and integrity of our customer and sales data. This position will collaborate closely with representatives across Sales, Marketing, Professional Services and Support Services to analyze, update, and streamline CRM records and reporting structures. Key Responsibilities: Review, update, and standardize CRM data within Microsoft Dynamics. Identify and resolve duplicate, incomplete, or inaccurate records. Assist in organizing accounts, contacts, leads, and opportunity data for improved reporting. Support enhancements to data fields, workflows, and tagging structures. Work with leadership to implement better reporting visibility and structure. Document data cleanup processes and recommend improvements to ongoing data governance. Generate periodic status updates and findings to the Sales Operations Manager, VP of Sales & Marketing, and VP of Support Services. Qualifications: Working toward or recently completed a degree in Business, Information Systems, Data Analytics, Marketing, or related field. Familiarity with Microsoft Office Applications High attention to detail with strong analytical and problem-solving skills. Comfortable working independently in a remote environment. Excellent communication and documentation skills. Ability to manage multiple tasks and meet deadlines What We Offer: Flexible remote working schedule. Opportunity to gain hands-on experience in CRM administration and cross-departmental operations. Exposure to real-world business operations within a growth-oriented team. A chance to make a meaningful impact by improving system efficiency and reporting accuracy. About Us: We are a diverse group of individuals dedicated to the development and support of the OBIX Perinatal Data System used in hospitals across the United States and abroad. Since 1996, we have presented our perinatal software solution as a tool for clinicians in charge of patient care. We understand that no two customers are alike - that each relationship needs to be fostered through collaboration. We continue to do research to identify other products and solutions for the perinatal space and our customers.

SENIOR SOFTWARE ENGINEER (EDGE DATA & TELEMETRY) Freeform is deploying software-defined, autonomous metal 3D printing factories around the world, bringing the scalability of software to physical production. Our proprietary technology stack leverages advanced sensing, real-time controls, and data-driven learning to produce digitally verified, flawless parts at unprecedented speed and cost. Our mission is to make the transformative power of 3D printing available to all industries at scale and unlock the future of innovation. In this role, you will be responsible for architecting and implementing factory edge services, backend data pipeline infrastructure and advanced telemetry capabilities of our metal 3D printing systems. You will work with petabyte-scale data feeds, enabling Freeform engineers to rapidly access critical data across the factory ecosystem. You will work with our machine learning team to provide data pipelines that feed the printing industry's first GPU-based ML platform. Ultimately, your code will enable the first production scale, high quality, and fully automated metal 3D printing factory. 3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology! Responsibilities: Design and implement a horizontally scalable platform that ingests millions of hardware sensor data points per second. Deliver high-quality data services that enable the machine learning team to access real-time and historical print data. Develop durable, efficient database solutions for real-time queries and large-scale analytics workloads. Create and operate data pipelines to collect, transform, and query petabyte-scale sensor and telemetry data. Write, test, and deploy reliable, maintainable software that improves automation and data quality across the factory ecosystem. Perform system calibrations, capture quality metrics, and monitor the long-term health and performance of printing systems. Basic Qualifications: 5+ years of professional experience in software development. Proficiency writing, deploying, and maintaining performance oriented backend services (preferably C++, Rust, Go, or Java). Experience developing robust data pipeline software. Nice to Have: Degree in computer science, engineering, mathematics, or related field. Experience with Arrow, Parquet, Iceberg, Spark, Kafka. Experience with time series databases, big data warehousing solutions and cloud computing. Experience with containerized applications and deployment via Kubernetes. Experience deploying to and working with physical hardware. Experience working with high-speed high-volume data processing pipelines. Familiarity with 3D data and graphics. Creative thinker able to apply first principles reasoning to solve complex problems. Excellent verbal and written communication skills Location: We are located in Hawthorne, CA in a 35,000 square foot, state-of-the-art facility featuring large open spaces for team collaboration, R&D, and production, as well as easy access to the 405, 105, and 110 freeways. Our facility is in the heart of Los Angeles' vibrant emerging tech ecosystem alongside many other high growth startups and enterprises. What We Offer: We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions. We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology. Benefits Significant stock option packages 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options) Life insurance Traditional and Roth 401(k) Relocation assistance provided Paid vacation, sick leave, and company holidays Generous Paid Parental Leave and extended transition back to work for the birthing parent Free daily catered lunch and dinner, and fully stocked kitchenette Casual dress, flexible work hours, and regular catered team building events Compensation As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role. In addition to the significant stock option package, the estimated salary range for this role is $150,000-$250,000, inclusive of all levels/seniority within this discipline. Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Data Scientist (Clearance Sponsorship) Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: None Type of Travel: None The Opportunity: We are seeking a skilled and motivated Data Scientist to join our dynamic Data & Analytics team. The ideal candidate will have a strong background in statistics, machine learning, and data mining, with the ability to visualize and communicate complex data clearly and compellingly. Responsibilities: Work with cross-functional teams to identify, research, and solve complex analytical problems Analyze large data sets to extract meaningful insights Design, build, and maintain machine learning models and algorithms Collaborate with data engineers to improve data collection and storage Present findings and recommendations to stakeholders in a clear and actionable manner Support the organization's broad-spectrum Data Management requirements, including, but not limited to: Data Strategy/ Modeling/ Documentation; Data Feed Identification; Infrastructure Management; Data Ingestion/Data Feed Automation; Data Transformation; Data Catalog and Metadata Management; Data Quality Management; Data Governance Design, develop, and maintain interactive Tableau dashboards and reports to support business objectives. Integrate Tableau with various data sources, including SQL databases, cloud platforms, and spreadsheets Stay updated on the latest Tableau features, best practices, and emerging BI trends. Qualifications: Required: Active TS/SCI Clearance with a Poly 3+ years experience as a Data Scientist, Data Analyst, or similar role Bachelor's degree in Data Science, Computer Science, Mathematics, Engineering, or a related field. (e.g., Statistics, Mathematics, Computer Science, etc.). Proficiency in data visualization tools such as Tableau, PowerBI, etc., including, but not limited to: data connection, data manipulation, data visualization Knowledge of statistical analysis methodologies and data visualization tools. Excellent problem-solving skills and attention to detail. Excellent communication and collaboration skills Experience with scripting in Tableau (e.g., automation, troubleshooting, integration, performance optimization) Proficiency in Python, R, SQL, and other relevant programming languages. Experience with data warehousing concepts and relational databases. Experience with machine learning, predictive modeling, and data mining. Ability to work independently and manage multiple projects simultaneously Excellent analytical and problem-solving skills and attention to detail Desired: Tableau Certified Professional - Preferred Current Security+ or DOD 8570 IAT Level II Certification Knowledge of cloud data platforms (e.g., AWS, Azure, Google Cloud). Understanding of data governance and security best practices. ____ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ____ Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here. The proposed salary range for this position is: $86,600 - $181,800 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.