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

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps Structuring, write, communicate and facilitate client presentations; and, Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. 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: $99,000 - $232,000. 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

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

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Structuring, write, communicate and facilitate client presentations; and, Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing AI/GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. 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

Data Scientist, Senior The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: 5+ years of experience using data science programming languages such as Python or R Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage Experience with version control tools, including git, GitLab, GitHub, or Bitbucket Knowledge of statistical analysis, predictive modeling, and machine learning methods Ability to design and develop automated analytic software, techniques, and algorithms Ability to develop solutions and integrate and extend free and open-source software (FOSS) or COTS products Ability to generate data visualizations with tools such as Kibana, Tableau, or Power BI TS/SCI clearance Bachelor's degree and 5+ years of experience in data science, or 7+ years of experience in data science in lieu of a degree Nice If You Have: Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, and the data and tools associated with these disciplines Experience with intelligence or operations analysis in the DoD or Intelligence Community Experience developing and implementing ontological frameworks Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL Experience working with Deep Learning and AI frameworks including PyTorch, TensorFlow, and Keras Experience working with Retrieval-Augmented Generation (RAG) and Large Language Models (LLM) Experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL Experience with visualization packages, including Plotly, Seaborn, or ggplot2 Knowledge of DevOps, including CI/CD pipelines and Jenkins TS/SCI clearance with a polygraph Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Job Description DPR Construction is seeking a strategic and detail-oriented Data Analyst to lead the development and management of our company-wide dashboards. This role will primarily focus on aggregating and summarizing key metrics from across the organization, with a special emphasis on dashboards that support our Enterprise Goals & Objectives and other strategic initiatives. This role will partner with our data analytics and engineering team members to identify the key metrics we want to move into our company-wide dashboards and assist in building the framework and consumption layers for ensuring our company-wide dashboards are aligned with more detailed workgroup specific dashboards. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery Develop and maintain relationships with business stakeholders across all functional groups of DPR. Develop a deep understanding of their processes, tools, and goals, and be able to speak to how our developed KPIs speak to those goals. Create, maintain and communicate detailed schedules for this wide-ranging KPI development. Coordinate technical teams performing development of KPIs and communicate progress to business teams. Create, maintain and execute quality control and practices to ensure that we deliver accurate information to end-users 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 tool, 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 Focus Group 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 five (5) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus seven (7) years of experience. Proven track record of managing large-scale analytics projects spanning multiple functional groups. Experience guiding business partners (who may have limited experience with technology and data) through the process of KPI development. Construction Experience including knowledge of industry trends, terminology, and typical processes 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. Analytic skills, including data mining, evaluation, analysis, and visualization. Ability to create semantic 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. 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.

About Us: BW Design Group is a fully integrated architecture, engineering, construction, system integration, and consulting firm committed to helping our clients realize their most critical goals from Strategy to Commercialization. As the only firm born from a manufacturing technology company to become an independent and fully integrated firm, we combine deep domain expertise in the manufacturing environment with an approach that is built to serve the dynamic needs of our clients. Rooted in our distinct culture of Truly Human Leadership, we cultivate the leaders who will define tomorrow and partner with our clients in the food & beverage, life sciences, industrial, and advanced technology industries to build the future of manufacturing and technology. Barry-Wehmiller is a diversified global supplier of engineering consulting and manufacturing technology for the packaging, corrugating, sheeting and paper-converting industries. By blending people-centric leadership with disciplined operational strategies and purpose-driven growth, Barry-Wehmiller has become a $3 billion organization with nearly 12,000 team members united by a common belief: to use the power of business to build a better world. Job Description: Who You'll Work With Design Group is a leading engineering and technology firm operating at the intersection of digital infrastructure and industrial solutions. As the data center market experiences unprecedented growth, we are expanding our team to support the long-term deployment of large-scale, mission-critical infrastructure across key regional clusters. As a Deployment Project Manager, you will play a critical leadership role onsite, helping drive the consistent rollout of standardized systems across complex, fast-paced environments. You'll serve as a linchpin between design, integration, and field execution teams, ensuring that deployments stay aligned with program objectives, timelines, and quality standards. You will be joining an established operational effort supporting some of the largest and most advanced data center clusters in the world. Your ability to lead through complexity, maintain operational discipline, and contribute to a high-functioning deployment process will be essential to the success of the overall program. What You'll Do Manage the successful deployment of multiple greenfield data centers; scopes typically include both BMS and EPMS Receive the applications from the design team and deploy them to each site Manage large capital projects in Procore including: L1-L5 startup and commissioning support Material Receiving/Transfer Observation tracking and closeout Schedule tracking and communication RFI management Communicate staffing needs to the rest of the firm Oversee deployment team responsible for: Point to Point check out of thousands of devices Configuration of communication protocols for multiple types of equip ment including switchgear, breakers, power meters, etc. Configuration and calibration of instruments (meters, VFD's, flow meters. Deployment and commissioning of Ignition applications, Rockwell controls and/or other similar control systems involving PLCs and SCADA. Provide guidance/leadership to Design Group subcontractors (electricians) onsite Budget/Forecasting skills Site Safety and enforcing Design Group safety procedures. Client interfacing and vendor relationships What You'll Bring Bachelor's degree in engineering or equivalent experience 5+ years' experience starting up control systems with significant onsite time. Strong communicator and ability/desire to work within large teams made up of Design Group professionals, the trades, a GC and the client. Passionate about the success of their teams and their projects The Deployment Project Manager must reside in the vicinity of the data center campus and should expect to have a high level of site presence to be successful in this role. Relocation timing: Negotiable, dependent on location and opportunity. Our culture and commitment to our people is what sets us apart. We foster an environment of mutual respect, integrity, and unconditional interest in the individual and collective success of our professionals. Our model and entrepreneurial mindset offer a rewarding, challenging, and highly flexible path. As a Controls Engineer, you will build a meaningful and fulfilling career with the support of professional development resources and mentorships including our First Year Experience program, Individual Development Plans, and Career Path resources and tools. You will be surrounded by exceptional talent who will support your development as both a world-class engineer and a highly effective leader. Feel like you're on the path to becoming a Controls Engineer but you're not quite there yet? We'd love to connect with you to see if we can take you from where you are today and grow you into a Design Group Engineering Consultant. The approximate pay range for this position is $100-$150k. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and abilities as well as geographic location of the position. #LI-CG1 At Barry-Wehmiller we recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. We know that our differences often can bring about innovation, excellence and meaningful work-therefore, people from all backgrounds are encouraged to apply to our positions. Please let us know if you require reasonable accommodations during the interview process. Barry-Wehmiller is an equal opportunity employer. M/F/D/V This organization uses E-Verify. Applicants may be subject to pre-employment screening which may include drug screening, reference checks, employment verifications, background screening and/or skills assessments. Company: Design Group

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: SoFi is seeking a highly motivated Senior Data Scientist to join the Marketing Data Science (MDS) team. The MDS team plays a crucial role in enabling data-driven decisions across SoFi's Marketing organization through robust analytics, modeling, experimentation, and measurement. This new role will be working with senior data scientists to develop, optimize and implement the marketing strategies for Sofi SIPS(Save, Invest, Protect and Spend). Marketing Data Scientists will partner closely with marketing managers and leadership to design, analyze, and optimize marketing strategies that drive member growth and revenue. If you are interested in working with highly quantitative teammates and elevating how data and analytics drives marketing and business decisions, this role is for you. What you'll do: Drive the growth of business and member products by developing comprehensive marketing strategies, which includes data analysis, model creation, strategy development, and performance monitoring across all channels. Collaborate with marketing managers, channel owners, and external partners to identify and strategize on new opportunities and initiatives. Analyze and measure the effectiveness of the marketing strategies, including funnel efficiency (click to convert), CPA (cost per acquisition) and ROI (return on investment), to provide data-driven recommendations and drive informed actions. Design, analyze, and interpret experiments (A/B tests, quasi-experiments) to inform marketing and growth decisions. Design and validate the complete campaign lifecycle, including process flow, data pipeline, model scoring, and execution, in collaboration with the campaign execution team to ensure timely and accurate campaign selections. Define key performance indicators (KPIs), design reporting framework and develop self-service dashboards that provide clear visibility into product and business performance. Perform deep-dive analyses across funnels, user behavior, monetization, and retention to identify growth and efficiency opportunities. Transform business objectives into data-driven, actionable tactics and campaigns that generate immediate results and establish a robust foundation for sustained growth. Fulfill partner requests promptly by providing timely analysis, adeptly navigating ambiguity, and focusing on solution-oriented approaches.. Communicate insights clearly to senior leadership and partners, converting complex data into compelling narratives. What you'll need: Bachelor's degree in Computer Science, Math, Physics, Engineering, or a quantitative field required; Master's degree preferred. 5+ years of experience in data science/analytics role Strong communication skills and comfort working directly with Product and Business leaders Strong programming skills in SQL, Python/R and proficiency in Tableau Experience in growth, lifecycle, or funnel optimization problems Experience building data pipelines with Airflow, preferably in Snowflake. Demonstrated experience with experimentation design, hypothesis testing, and statistical analysis Knowledge of statistical modeling or machine learning is a plus. Ability to operate effectively in ambiguous, fast-moving product environments Ability to thrive in a dynamic, cross-functional environment with keen attention to detail. Ability to work independently and as part of a team. You should be able to initiate and drive projects to completion Knowledge of experimentation platforms (e.g., Statsig or similar) Demonstrate strong business acumen and curiosity, with excellent communication and presentation skills, including the ability to present to leadership Strong preference for industry experience in financial service and familiarity with banking products and marketing channels. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $128,000.00 - $240,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

At Klaviyo, we love tackling tough engineering problems and look for engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last. Team Overview: Klaviyo operates a real-time data analytics platform coded primarily in Python that is built for massive scale and hosted on Amazon Web Services (AWS). The Data Governance team builds and operates systems that help the rest of the company understand the data we are processing and storing. It also helps to ensure that we are compliant with relevant data regulations. As a founding member on the Data Governance team, you will have ownership over defining the technical and organizational vision for our data governance systems. Team Tech Stack: AWS Python Kubernetes MySQL Clickhouse Kafka DataHub Spark Flink Airflow Terraform How You'll Make a Difference You will be responsible for building and managing a team of 5-6 engineers to fulfill your data governance and management vision and roadmap. Responsible for coaching engineers, managing/reviewing technical documentation and articulating a phased approach to achieving the team's overall technical vision. Be responsible for the mission, technical direction and operations of projects that have immediate impact. Wholly owning the systems that make our data discoverable, actionable, and compliant to power features that 180,000+ customers rely on daily to reach 4B+ consumers to drive their business forward. Partnering with teams across the company to help them manage and leverage petabytes of data. Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up. Who You Are BA or BS Degree in Computer Science, related field, or equivalent experience. 8+ years of software engineering in a DevOps environment with specific experience in data processing systems. 3+ years of people management experience. Experience writing code using best practices in a language such as Python, Ruby, Go, etc. Experience designing, building, and operating reliable, fault-tolerant, and high performance distributed systems. Experience working with GDPR, CCPA, HIPAA, or similar regulatory frameworks. Proven ability to come up to speed quickly. You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. Hybrid work out of our Boston Office 3x/week. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here

Join the Team! Is technology your passion? Do you want to work with smart, forward-thinking individuals? Do you want to grow in a career you love? At Align, our professionals are the key to our success. We don't just hire talent, we invest in exceptional people who are forward-thinking, results-driven, and passionate about what they do. We're a group of tech-savvy professionals who are motivated by making an impact. Our culture is one of unbounded opportunity that celebrates the passions, skills and ideas of our team-work hard, play hard, be smart! We believe great communities lead to great companies. That's why we offer a dynamic workplace where you feel inspired, engaged and innovative. We offer professionals opportunities to train in the leading technologies, make an impact within the industry and acquire valuable new skills whether on client sites or in one of our regional offices. Position Overview Align offers a wide variety of services centered around the data center white space. We are a white space fit out general contractor who manages the entire fit out of data centers across the country. Our services include designing layouts, overhead support systems (to support cable pathways and electrical systems), power striping/redundancy planning for distribution from PDU's to cabinet receptacles, conduit pathways, and low voltage structured cable infrastructure. As a Data Center Construction Project Manager, you will guide the build of electrical and mechanical distribution from the upstream critical equipment for delivery to compute/storage/network infrastructures. This role is to understand the design intent and customer expectations and will be responsible for making it happen! You will be onsite daily interacting with the construction trades/sub contractors and will be directly responsible for managing schedule/QC in the field. This is a full-time salaried position offering competitive compensation, comprehensive benefits, paid time off, paid training and performance-based bonuses. This position is based in the Columbus, Ohio area and will work onsite for local data center projects. Approximately 30% to 50% overnight travel outside of the Columbus area should be expected at times. Responsibilities The Data Center Construction Manager will be responsible for project management and oversight of construction related activities as they relate to new builds or capital projects which includes the ownership of the project scope, quality, schedule, and budget. Some of the typical daily tasks of the Construction Project Manager: Directly interface with construction general contractors during the bidding, award, execution, and project closeout/punch list phases Monitor the progress of each project through updated schedules, communicates changes and manages client expectations - identify and negotiate time extensions where justified and allowed Construction project management for specific initiatives aimed at increasing the resiliency of our data centers Resolve scope problems with subcontractors and union labor Construction document management including submittal review, RFI's, change orders, and invoicing Construction project quality control Record and report key construction metrics to team members and management. Drive teams to perform troubleshooting and root-cause failure analysis associated with equipment failures Required Qualifications Bachelor's degree in Mechanical Engineering, Electrical Engineering, Construction Management or an equivalent engineering science OR 5+ years of related construction management experience in lieu of a degree 5+ years of experience in construction management of large, complex mission critical projects involving large-scale mechanical, electrical and plumbing (MEP) plants - Some Data Center Construction experience is preferred Strong general contractor and vendor management experience (request for proposals, bidding, change orders, quality control, RFI/submittal tracking) associated with construction and project execution Possess strong documentation skills, clear written and verbal communication skills, and ability to use data to justify conclusions Able to read and interpret construction specifications and drawings for all disciplines Knowledge of building codes and regulations including Life Safety, BOCA, NFPA, NEC, and OSHA Must be able to travel as needed Preferred Qualifications Understand electrical and mechanical principles relating to data centers Experience with Procore or similar project management software Knowledge of the local subcontractor and union labor market (the quality of their work) and relationships with local low voltage, electrical and mechanical contractors is preferred Experience directly related to the design or construction of data centers/critical infrastructure or large scale mechanical and electrical plants Value engineering: proven ability to reduce costs through creative solutions with no impact on quality and reliability (new designs, technology, or construction methods). Experience with power management and power monitoring systems. Certifications such as Professional Engineer (PE), LEED, and/or Certified Construction Manager (CCM) To support a fair, consistent, and high-quality hiring experience, some interviews may be recorded. These recordings help our team focus fully on the conversation at hand, rather than note-taking, and allow us to better evaluate and improve our recruitment process. Recordings are used solely for internal purposes such as training, quality assurance, and process improvement. Candidates will be informed in advance and asked to provide consent before any recording takes place. For more details, visit www.align.com. Tier3 Align is a premier global provider of technology infrastructure solutions. Align specializes in designing and deploying technology infrastructure solutions from the data center to the desktop as well as providing managed IT services for clients. Our professional services team, which includes Workplace Technology and Data Center Solutions provide strategic consulting, design, project management, engineering, implementation and support. Our best-in-class Managed Services team provides IT services and cybersecurity advisory for clients within the Alternative Investment industry. Align is a Microsoft Tier 1 Cloud Solutions Provider (CSP) and Gold Partner. Our client centric approach and passion for driving IT innovation has enabled us to provide tailored solutions and business transformations for over three decades. Leading firms have relied on Align to provide forward-thinking technology strategies that support their current and future business needs. Our teams have flawless track records of delivering technical solutions and have established long-standing relationships with an impressive client list of both Global 1000 and SMB clients. We work across a diverse list of industries including financial services, life sciences (pharmaceutical and health care), retail, technology, media and telecommunications. For more information, visit: www.align.com

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Teammate reports to the Chief Architect for Core Technology. They will focus on system architecture elements consumed enterprise-wide with a focus on the operational data elements of technical infrastructure required to accelerate hybrid cloud transformation. Leads in the development of enterprise architecture principles, patterns, standards, and practices for operational data products and their incorporation into infrastructure platforms and utilization by the application portfolio as well as adherence to those practices. Partners closely with operational data Product Line Executive in the architecture, design, and stakeholder management of CIO level cross-functional delivery teams (Tech Delivery and Operations, Business, Risk, Cyber, Data) as well as support organizations (HR, finance, etc.) to drive product innovation & optimization to ensure the delivery of secure resilient application consumable solutions to the customer. Applies advanced knowledge of banking technology and IT architecture principles to identify and evaluate alternatives across the constantly evolving landscape of operational data architectures and solutions. Leads the selection of methodologies, tools, and components for the operational data elements of total IT solutions. The successful Operational Data Enterprise Architect: Provides guidance and support for solution architects on the implementation of operational data within complex architectural patterns on a variety of multi-platform systems; Develops operational data architecture plans and reviews cost and feasibility of alternatives while ensuring the plan supports the strategic needs of the company; Interprets internal/ external business challenges and recommends best practices on selecting and adopting operational data solutions; Uses sophisticated analytical thought to exercise judgment and identify innovative solutions; Designs strategies for enterprise online transactional processing (OLTP) databases; Sets standards for database operations, programming, query processes, and security; Contributes to the model, design, and construction of large relational and non-relational databases in traditional distributed and cloud native environments; Creates and optimizes data models for performance and functionality. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Top down operational data centered infrastructure architecture roadmap development and design with focus on enabling software defined infrastructure implementation, provisioning and consumption, along with collaboration with infrastructure and application technology leaders and risk partners to refine and instantiate a hybrid cloud strategy reflecting corporate objectives/strategy and risk appetite Architect cross-cutting enterprise infrastructure solutions that span across multiple CIOs and domains and across the spectrum of operational data technologies Provide thought leadership based on hands-on experience in the development and modernization of operational data technology standards enabling modern approaches to technology resiliency Set, adapt, and instantiate strategic direction for operational data technology infrastructure in alignment with the Business Strategy and Technology standards and provide thought leadership in the development of an enterprise strategic IT plan. Maintain a high level of awareness and understanding of existing and emerging operational data technologies, as well as industry and bank issues, to effectively match them. End to end accountability to review and approve design solutions that are fit-for-purpose in meeting the business needs of the enterprise while continuing the evolution of the technology landscape Lead or "jump start" operational data centric initiatives deemed critical to and Truist's technology services Provide thought leadership in new technology innovation, incubation, introduction and implementation critical to Truist's technology and business strategy roadmaps and ongoing success Develop and document operational relational and non-relational database architectures. Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements and translate into implementable database solutions. Develop database architectural strategies at the modeling, design, and implementation stages to address business or industry requirements. Design databases to support business applications, ensuring system scalability, security, performance, and reliability. Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure. Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs. Create and enforce database development standards. Identify and evaluate industry trends in database systems. Demonstrate database technical functionality, such as performance, security, and reliability. Design load-balancing processes to eliminate down time for backup processes. Identify, evaluate, and recommend hardware or software technologies to achieve desired database performance. Identify and correct deviations from database development standards. Develop data models for applications, metadata tables, views, or related database structures. Document database schemas, using accepted notations. Develop data models describing data elements and their use. Plan and install upgrades of database management system software to enhance database performance. Test programs or databases, correct errors, and make necessary modifications. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree in Computer Science, Information Technology, Business, or related field Twenty (20) years of architecture/design/delivery experience which includes fifteen (15) years of enterprise architecture experience or twenty years' solution architecture experience in technology and security, and ten years of banking/financial business domain Comprehensive experience with various architectural domains including infrastructure and complementary domains such as application, data, and integration Strong analytical and broad architectural skills Strong verbal and written communication skills Strong negotiation/facilitation skills Significant knowledge of current and emerging architecture principles, methodologies and tools Experience as negotiator with vendors for relevant products and services Demonstrated competency in strategic thinking with ability to differentiate feasible from academic solutions Demonstrated thought-leadership skills with the ability to translate high-level business planning information into application needs/solutions Demonstrated proficiency in basic computer applications, such as Microsoft Office software products Ability to travel, occasionally overnight Preferred Qualifications: Relational Database management system software- Microsoft SQL Server; PostgreSQL; IBM DB2; Oracle; AWS DynamoDB; AWS Aurora; Azure Cosmos DB; Couchbase No SQL Database- MongoDB; AWS DynamoDB Configuration management software- Terraform; Red Hat Ansible Engine Database schema automation- LiquidBase Database replication- MS SQL Server Always On; Pacemaker; Tivoli System Automation; Oracle Data Guard; Rubrik Data integration- Microsoft SQL Server Integration Services (SSIS) Business intelligence and data analysis software- Microsoft SQL Server Analysis Services (SSAS); Microsoft SQL Server Reporting Services (SSRS); Microsoft Power BI General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify

Job Description Infosys is seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Qualifications: Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of Information Technology experience At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning Strong proficiency in Python programming. Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI. Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions. Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc. Experience with data gathering, data quality, system architecture, coding best practices Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search). Experience with Lean / Agile development methodologies This position may require travel, will involve close co-ordination with offshore teams This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Data Scientist Qualifications: 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform. Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB). Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain. Strong understanding and experience of LLM fine-tuning, local deployment of open-source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django. Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation. Experience with perception (e.g. computer vision), time series data (e.g. text analysis) Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala Data visualization tools such as Tableau, Query languages such as SQL, Hive Good applied statistics skills, such as distributions, statistical testing, regression, etc. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. The estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $103500 to $188888 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits : Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off

Aviation Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you'll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration and data examination while you support the assessment, design, developing, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can't wait. You Have: 2+ years of experience utilizing programming languages, including C++, Java, or Python 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis Experience creating software for retrieving, parsing and processing structured and unstructured data Experience developing scalable ETL or ELT workflows for reporting and analytics Experience creating solutions within a collaborative, cross-functional team environment Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor's degree Nice If You Have: Experience with the Federal Aviation Administration (FAA) and National Airspace System (NAS) Experience in application development utilizing SQL or Scala Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience working on real-time data and streaming applications Experience with NoSQL implementation using MongoDB or Cassandra Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake Experience with UNIX or Linux, including basic commands and Shell scripting Experience with Agile engineering practices Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom: In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Who You Are You are a product-minded, outcome-obsessed driver of technical scientific solutions. You a high velocity self-starter. You refuse to let uncertainty obstruct your path to designing and building solutions. You roll up your sleeves, try things out, and get things done. You do not hesitate to prototype, demo, and build in order to accelerate delivery of products for your end users. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. With rich experience applying cutting edge data methodologies to the biopharma R&D domain, you bridge understanding between present-day pain points and generalizable solutions. You are an insatiable learner, with a track record of deeply learning new tools, methods, and domains. You fundamentally embody the principles of extreme ownership and have a demonstrated history of building extensible data models and applications for Biopharma end users to maximize value from their data via analysis and integration with AI/ML. This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry. What You Have Done PhD with +4 years or Masters with +8 years of industry experience in life sciences with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing. Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders. Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible. Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities. Advised scientists in a consulting capacity to further research, development, and quality testing outcomes.

HATCH https://www.usehatchapp.com/ Senior Data Engineer MUST BE BASED IN NYC - No Relocation Cannot Sponsor About Hatch At Hatch, we're building AI that doesn't just assist behind the scenes; it converses with customers out in the wild. Backed by Y Combinator and top-tier investors like Bessemer and NextView, we're scaling fast, doubling revenue year over year, and looking for A players to help us cement our place as the category leader in AI for customer engagement. About the Role We are looking for a skilled Data Engineer with proven software development experience to join our growing data team. You will build, optimize, and maintain data pipelines and platform services that power our analytics, reporting, and AI initiatives. The critical requirement: You must have already built production APIs, SDKs, or backend services in previous roles. We need someone who brings software development expertise to data engineering-not someone looking to learn. If you haven't designed APIs, applied design patterns in production code, or shipped services that other engineers consume, this role is not the right fit. This is not a business intelligence, analytics, or pure SQL/ETL role. Candidates whose experience is primarily dashboards, reports, or configuring low-code tools will not be successful here. Key Responsibilities Design and build scalable batch and real-time data pipelines using Kinesis, Pub/Sub, Flink, Spark, Airflow, and dbt. Architect and implement multi-tier data lake architectures with raw/staging/curated layers, defining promotion criteria, data quality gates, and consumption patterns. Develop and maintain production-quality APIs, SDKs, and backend services that integrate with data infrastructure. Apply software engineering best practices-modular design, design patterns, testing, CI/CD, observability, and code reviews-to all data platform work. Model and optimize datasets in BigQuery and Aurora PostgreSQL with attention to performance, cost, and governance. Collaborate with backend teams to define data contracts, streaming interfaces, and service boundaries. Implement infrastructure-as-code (Terraform, Docker, Kubernetes/EKS) for deployment automation. Establish and monitor SLOs for data quality, latency, and availability; troubleshoot production issues across distributed systems. What We're Looking For Must-have software development background (non-negotiable): 3+ years building production APIs, SDKs, or backend services in Python, Go, or similar languages. Demonstrated expertise with software design patterns (repository, factory, dependency injection, etc.) applied in real production systems-not theoretical knowledge. Proven ability to write clean, tested, maintainable code with proper abstractions and error handling. Experience with code reviews, CI/CD pipelines, and production deployments. Strong computer science fundamentals: data structures, algorithms, concurrency, distributed systems. Must-have data engineering experience: 5+ years total engineering experience, with 2+ years focused on data engineering. Hands-on expertise with distributed data technologies: Kafka/Kinesis/PubSub, Spark/Flink, Airflow, dbt, BigQuery. Experience with modern data lake table formats like Apache Iceberg, Delta Lake, or Apache Hudi for advanced schema management and data lake optimization. Experience designing and implementing layered data architectures (raw/landing → refined/standardized → curated/consumption) with appropriate transformations and quality checks at each stage. Strong SQL skills and experience with data modeling (dimensional, event-driven, domain patterns) and query optimization. Production experience building both batch and streaming data pipelines. Must-have platform experience: Working knowledge of AWS and GCP, including monitoring/troubleshooting (CloudWatch, Prometheus/Grafana). Familiarity with containerization, Kubernetes/EKS, and infrastructure-as-code (Terraform). Exposure to event-driven microservices and schema governance (parquet/protobuf/Avro). Excellent communication skills-can explain complex systems clearly and collaborate effectively with engineering teams. Nice to Have Experience with ML/LLM pipelines in production (vector databases, feature stores, prompt orchestration). Open-source contributions or work in fast-moving startup environments. What We Offer Competitive salary and equity Remote (Eastern or Central Time Zone required) OR Hybrid work environment (3 days/week in our NYC office) Medical, dental, and vision benefits 401(k) plan Flexible PTO Opportunity to build at the ground floor of a high-growth, mission-driven company Not offering sponsorship Why Hatch Shape the future of AI-driven customer service Build alongside founders and leaders who value speed, ownership, and ambition Solve hard problems that impact real businesses and customers Join a team of builders who care about great engineering, fast execution, and each other

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for. About the Role The Times is looking for a senior data analyst who is passionate about data and eager for the opportunity to support our journalistic mission. As part of the Data and Insights Group (DIG), you will join a large community of data analysts who partner with Product, Engineering, Marketing, and PMO teams across the business. You will support the Owned Media team which is responsible for our owned marketing channels including email, display, audio, and print. You will report to the Senior Manager of Owned Media Analytics. This is a hybrid role, working in our New York, NY office. Responsibilities: Lead the measurement framework and testing agenda for Marketing in Audio, Display, and SMS channels. Collaborate with the advertising team to ensure parity on reporting of revenue numbers from Owned efforts in display and audio channels. Advise the Owned Media team on areas of opportunity, specifically as pertains to shifting metrics, and improving performance. Build new metrics to report on product engagement attributed to media efforts. Conduct analysis to determine which surfaces, messages, and creatives are most impactful. Build visualizations to communicate complex media topics and results. Be responsible for monitoring and accuracy of data and reporting. Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: Degree in an analytical field such as economics, stats/mathematics, or computer science or 3+ years experience in an analytical role. Advanced proficiency in SQL and familiarity with big data warehouses such as Google BigQuery. 3+ years of experience communicating cross-functionally, presenting insights to team members and company partners. 1+ years of experience with data visualization tools such as Mode, Tableau, or Lookr 1+ years of experience with A/B testing. Preferred Qualifications: Experience with synthetic control or geo experiments Experience Advertising or Marketing data R or Python Proficiency REQ-019104 The annual base pay range for this role is between: $101,000-$110,000 USD For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process. The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.

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

The Team: On Datadog's Internal Trust team, our goal is to give our customers complete confidence that their data is safe and secure. We aim to eliminate the possibility of malicious access while building transparent and honest customer relationships. The foundation of this work is a pragmatic approach to the security controls we build that protect access to customer data. What You'll Do: You'll join a small team focused on Internal Trust, helping us add protections around how we collect, store, and use our customers' data. We're flexible in our approach: you'll have the opportunity to build through full-stack engineering, customer-facing product design, threat detection, privacy engineering, policy and process improvements, and more. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. You'll have the opportunity for impact in multiple areas: The focus areas for our team include the following. As a senior engineer, you'll define your priorities and communicate your plans to achieve maximum impact in these areas. Identifying risks to customer data: Build tools to survey the state of data storage and access at Datadog. Discover unsafe usage, communicate the risk, and assist teams to find safer solutions that fit their needs. Trust, transparency, and control: Coordinate between different parts of the organization to identify risky access to customer data, and advocate for intelligent solutions that safeguard customer assets. Build features that share actionable information with customers and enable customers to control their own security in terms of our access to their data. Engineering and advocacy: Propose, champion, and build new security-related features to deliver on our goals. We provide direct engineering effort within other teams' codebases which allows us to share ownership of security goals. Improve the security of our internal tools: Assess security maturity, build guardrails to ensure safety and consistency for our internal support processes, and directly build auditing and alerting in collaboration with product teams. Detection & Response: Build scalable detection rules and response processes related to misuse of access, process mistakes, external access to internal infrastructure, etc. We collaborate closely with product teams to provide feedback as users and share in the responsibility of alert review. Finally, we collaborate extensively with our peer teams, so you'll have many chances to learn about or work directly on account safety (logins, credentials, etc.), platform integrity (abuse, malicious content, security notifications), application security (security architecture and code review), and more. Who You Are: You have at least 4 years of professional experience in a security-related role, with a focus on: Coding (our most used languages are Go, Python, and React/Typescript) Design and development of performant, reliable systems for automated scanning or integration between third-party APIs Written and verbal communication skills (especially documentation, security advocacy, and project management) Bonus points if you have experience in: Data science, engineering, or stewardship Cloud or Application Security (scanning, security testing, code review, architecture, etc.) Privacy engineering Threat detection Incident response Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: CrowdStrike's Data Platform group is integral not only to our day-to-day operation but also to our customers' ability to access and learn from our historical threat remediation findings. We empower them directly with self-service platforms and tooling to execute vulnerability- and attack-surface management failsafes in their own environments, based on hundreds of petabytes of historical threat data. Our Data Infrastructure team within DP is seeking an exceptional Senior Engineer (De-facto tech lead, in this case) to build Data Applications handling complex data transformations. This is a high-impact, hands-on functional leadership position where you'll architect and build mission-critical applications that scale seamlessly from small datasets to to multi-petabytes, ensuring data resilience and business continuity for our cybersecurity platform. This role can be based out of Sunnyvale/Silicon Valley Metro 'OR' Austin Metro and will likely include 1-3 days in-office per week on average (Austin office is being expanded, so workers here will remain fully remote for likely 18-24 months) What You'll Do: Design, develop, and maintain enterprise-grade disaster recovery and data replication solutions using Python and/or object-oriented Java Build scalable data applications on top of Apache Spark and Apache Flink that scale seamlessly to handle massive data volumes (multi-PB scale) Lead the technical roadmap for disaster recovery infrastructure, driving architectural decisions and best practices Mentor and guide engineering teams on distributed systems design, data platform technologies, and coding excellence Architect and implement robust ETL pipelines for disaster recovery scenarios with focus on data integrity and performance Design fault-tolerant, highly available data replication systems across multiple regions and availability zones Optimize data processing workflows to handle exponential data growth while maintaining sub-second recovery objectives Implement monitoring, alerting, and automated recovery mechanisms for data platform resilience Deploy and manage applications on Kubernetes (K8s) with deep understanding of container orchestration, scaling, and resource management Implement infrastructure-as-code practices for disaster recovery environments Collaborate with SRE teams to ensure 99.99%+ availability of critical data services Drive continuous improvement in deployment automation, testing, and operational excellence What You'll Need: 8+ years of software development experience with strong coding skills in Python and/or object-oriented Java Deep experience with Apache Spark or Apache Flink in production environments, bonus points for experience building Spark/Flink internals (Ditto: Iceberg) Deep expertise in data platform architecture, ETL design patterns, and large-scale data processing Strong Kubernetes (K8s) experience including deployment, scaling, monitoring, and troubleshooting Proven track record of scaling data applications from small datasets to multi-petabyte scale Experience designing and implementing disaster recovery and data replication solutions Strong understanding of distributed systems, data consistency models, and fault tolerance patterns Advanced knowledge of Spark internals, optimization techniques, and performance tuning Experience with Flink streaming applications and stateful processing Proficiency with K8s ecosystem (Helm, operators, service mesh, monitoring tools) Strong SQL skills and experience with both relational and NoSQL databases Experience with cloud platforms (AWS, Azure, or GCP) and their data services Familiarity with CI/CD pipelines, GitOps, and infrastructure automation Demonstrated ability to drive technical roadmaps and influence engineering strategy Strong communication skills with ability to articulate complex technical concepts to all audiences Experience mentoring engineers and fostering a culture of technical excellence Proven ability to make pragmatic trade-offs between speed, quality, and scalability Self-motivated with strong ownership mindset and ability to work autonomously Bonus Points: Experience with real-time data streaming and event-driven architectures Knowledge of data governance, compliance, and security best practices Contributions to open-source projects (Spark, Flink, or related technologies) Experience in cybersecurity or high-stakes production environments Background in site reliability engineering or DevOps practices Advanced degree in Computer Science or related field #LI-MP2 #LI-DG1 #LI-HTF #HTF This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements. Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140.000 - $215.000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please click here.

You desire impactful work. You're RGA ready RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies, we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Overview The Senior Data Scientist is a strong contributor to the Biometric Assumptions Team, which provides analytical expertise for the global development of data-driven solutions in longevity product development and pricing. This role involves combining technical skills and predictive modelling to contribute to innovative model solutions and collaborates on project-teams consisting of data scientists, actuaries, IT, and business developers. The Senior Data Scientist will focus on internal mortality assumption development for longevity markets by leveraging new and existing data sources through exploratory analysis, insights, model maintenance, and model R&D. Location: Ideally located in a hybrid work-arrangement in one of RGA's offices- St. Louis, USA or Toronto/Montreal offices, Canada or London, UK or in a fully remote work-arrangement. Responsibilities Lead, design, create, and interpret end-to-end models with a typical focus on mortality within longevity markets. Support Pricing team with insights from large datasets and support efforts to adopt robust bespoke assumptions in quotes. Evaluate new external data sources and explore new applications of non-traditional data sources for RGA in its various regions. Participate in the development and enhancement of underlying processes and recommends improvements in data analysis /modeling best practice standards Communicate with a variety of stakeholders at various levels of seniority Offer risk management skills to any data processing or modeling exercise: Understand business context & where material scope for error lies Adhere to professional standards, best practices, and ethical guidelines Understand the strengths and limitations of a modeling approach Have a strong understanding on tools / techniques their actuarial peers will not have had a formal education in such as: Understand applications, risks, transparency, quality assurance & peer review, and ethical guidelines Stay abreast of new techniques, but focusing on practical applications Liaise with RGA's data scientists across the globe about more sophisticated data science applications Contribute to RGA's global analytics community, routinely sharing, maintaining consistency of approach Requirements Bachelor's degree in Math, Finance, Economics, Statistics, Actuarial Science, Computer Science or related field 6+ years of experience developing statistical models (Regression, Decision Trees, Time Series, etc.) Statistical programs/languages (R or Python) Spreadsheet skills (Excel/VBA) and database applications (SQL, Snowflake, Oracle,...) Advanced predictive modeling skills: Tree-based models, GLMs, GAMs, etc.; Cross-Validation, Residuals and model diagnostics; Basic Statistical concepts for feature engineering (e.g. percentiles, standardization, correlations, risk ratios / chi-square test, splines, and other non-linear transformations) Advanced exploratory data analysis skills- Plots and graphics (BI/ggplot) Ability to compile, analyze, refine, model and interpret very large data sets as well as the ability to incorporate expert judgment into statistical modeling techniques Transform data to enhance its predictive value (feature engineering) Advanced ability to translate business needs and problems into viable/accepted solutions Advanced investigative, analytical, and problem-solving skills Preferred Experience with longevity product design / pricing / experience studies / assumption development Re/insurance industry experience Master's degree or PhD in Statistics, Actuarial Science, Economics, or related field Actuarial designation (ASA/FSA; AIA/FIA) 4 or more years of experience with statistical modeling for insurance Familiar with actuarial modeling platforms (AXIS, Prophet, Exp Studies etc.) Basic data engineering capabilities (Python, Scala) Basic machine learning models/concepts (SVM's, GAN's, Neural Networks/Deep Learning, Naive Bayes, NLP) and/or basic statistical concepts for feature engineering for dimensionality reduction such as PCA's, SVD's, and clustering Proactive use of insurance expertise & actuarial concepts to feature engineering and model evaluation LI-DL1 #LI-HYBRID What you can expect from RGA: Gain valuable knowledge from and experience with diverse, caring colleagues around the world. Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. Join the bright and creative minds of RGA, and experience vast, endless career potential. We're excited to get to know you and connect your unique skills with our global opportunities. To create a modern and seamless experience, we use artificial intelligence (AI) in parts of our preliminary screening process. This technology helps us personalize job recommendations, automate interview scheduling, evaluate candidates based solely on experience-without considering name, gender, or other personal details-and provide real-time answers through our chatbot. AI is used only during early screening and never makes hiring decisions. Your RGA recruiter will work closely with you every step of the way to ensure the process feels personal, thoughtful, and focused on you. Compensation Range: $123,500.00 - $184,050.00 Annual Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.