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

Job Description Summary The Sr Staff Data Scientist is a senior technical leader who shapes and delivers high-impact Data Science and Machine Learning solutions for industrial operations across Oil & Gas, Fossil Power, and Renewable Power. You will lead small teams/programs, set best practices for the end-to-end ML lifecycle, and partner with business and engineering leaders to translate operational challenges into predictive and prescriptive solutions that drive measurable outcomes (reliability, availability, efficiency, emissions, cost). This role requires deep experience with time-series forecasting, anomaly detection, and predictive maintenance on large industrial datasets, with Generative AI as a value-adding plus. Candidates must bring a minimum of 8 years’ experience in operations, maintenance or monitoring of at least one of the above industry domains. Job Description Hybrid role: in office Roles and Responsibilities Collaborate with business/domain leaders to identify, prioritize, and scope high-value ML use cases (e.g., time-series forecasting, anomaly detection, predictive maintenance), define success metrics, and ensure measurable business impact. Lead and oversee the end-to-end DS/ML lifecycle: data acquisition, cleaning, feature engineering, and exploratory analysis for industrial datasets (sensor/telemetry, production logs, emissions, maintenance history). Develop, validate, and tune models across regression, classification, time-series (ARIMA/Prophet/LSTM/GRU/state-space), anomaly detection, and ensembles; apply deep learning when appropriate; ensure robust cross-validation and reproducibility. Deploy models to production on cloud platforms (AWS/Azure/GCP); guide choices for model serving, latency, throughput, and scalability; Own and influence the ML systems architecture , including model lifecycle management, feature pipelines, CI/CD for ML, observability, drift detection, and retraining strategies; partner with platform teams to define scalable and compliant ML-Ops patterns. Partner with data/platform engineering to operationalize pipelines and integrate models into business applications and workflows; ensure reliability, observability, and SLAs. Establish and champion standards, reusable assets, and best practices for data quality, governance, security-by-design, and validation across programs. Mentor and coach data scientists/analysts; perform code/model reviews; grow skills and foster a strong data science culture; lead small teams/projects with moderate risk and complexity. Translate model outcomes into clear, actionable insights for technical and non-technical stakeholders; communicate trade-offs, risks, and assumptions; quantify value realization. Collaborate with Reliability Engineering to apply reliability analytics (e.g., Weibull analysis, survival/hazard models, RGA/Crow-AMSAA), integrate CMMS/EAM/APM and historian/SCADA data, and inform maintenance and spares strategies where applicable. Stay current with advancing ML methods (especially industrial IoT analytics, streaming/real-time) and evaluate/pilot GenAI/LLM-assisted workflows (e.g., analytics automation, documentation, knowledge retrieval) as an added advantage. Contribute to functional data/analytics strategy and roadmaps; influence cross-functional ways of working; ensure alignment with GE Vernova standards and compliance requirements. Education Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with minimum 10 years of experience. Master’s/PhD preferred. Desired Characteristics Technical Expertise: Expert proficiency in Python and SQL; strong in libraries such as Pandas, NumPy, scikit-learn; experience with TensorFlow/PyTorch where deep learning is applicable. Advanced time-series and anomaly detection for industrial data; predictive maintenance modeling and feature engineering for sensor/telemetry and maintenance data. Cloud ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI), CI/CD for ML, model registries, monitoring and drift detection; design for scalable, reliable serving. Data management practices at scale: data quality and cleansing strategies, governance and security controls, and fit-for-purpose data/feature architectures for ML. Real-time/streaming analytics and deployment considerations; integration into business applications and workflows. Domain Knowledge: 15 Years of overall experience in Data Science and Analytics field with minimum 8 years’ experience in operations within at least one of: Oil & Gas, Fossil Power, Renewable Power; ability to translate operational realities (failure modes, maintenance strategies, process constraints) into features, validation criteria, and deployment constraints. Strong business understanding: align analytical solutions to P&L priorities and operational KPIs (availability, MTBF/MTTR, throughput, energy yield, emissions, cost); articulate ROI and buy vs. build trade-offs; awareness of industry trends and regulatory context. Leadership: Leads small teams/projects; attracts, mentors, and develops talent; establishes best practices and reusable patterns; builds trust and consensus across functions. Advanced problem solving: prioritizes, removes roadblocks, and aligns solutions to organizational objectives; introduces new perspectives to existing solutions. Consulting mindset: frames options and trade-offs, provides risk-assessed recommendations, and influences stakeholders to adopt data-driven decisions. Decision making & risk: makes informed decisions in ambiguous environments; balances performance, latency, and reliability trade-offs; promotes calculated risk-taking and learning. Change agent: plans and implements change programs, drives adoption of new methods and platforms, and partners with executives to realize value at scale. Personal Attributes: Curiosity and creativity: connects ideas across domains; simplifies complex problems; champions progression from ideas to outcomes with speed. Comfort in ambiguity: delivers with incomplete information, states assumptions clearly, and course-corrects based on feedback; manages uncertainty for self and team. Strong written and verbal communication: crafts compelling narratives tailored to technical and non-technical audiences; coaches others on effective storytelling. This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $144,800.00 and $217,200.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on December 19, 2025.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Wytheville, Virginia, United States of America Extraordinary Care. Extraordinary Careers. With one of the nation’s largest, most innovative long-term care pharmacy services providers, there is no limit to the growth of your career. Southern Pharmacy Services, a member of the Guardian family of pharmacies, has an exciting opportunity for you to join our rapidly growing team in Wytheville, Virginia . Southern Pharmacy Services? We’re reimagining medication management and transforming care. Who We Are and What We’re About: Our core focus is delivering customized medication management solutions to support healthcare organizations serving seniors and individuals with complex care needs. With our comprehensive suite of tech-enabled pharmacy services and a dedicated team of professionals committed to enriching the lives of those we serve, we are redefining how pharmacy care is delivered. We offer an opportunity to learn and grow your career in a fast-paced, diverse, and inclusive environment. If you are looking for a challenging, team-oriented environment in which you can put your expertise to work, then this is the place for you. Responsible for entering and processing prescriptions into the pharmacy operating system with both speed and accuracy. Communicates with customers on the telephone and responds quickly and courteously to their needs. Attributes Required: Work Ethic/Integrity – must possess intrinsic drive to excel coupled with values in line with company philosophy Strategy and Planning – ability to think ahead, plan and manage time efficiently Problem Solving – ability to analyze causes and solve problems at both a strategic and functional level Team Oriented – ability to work effectively and collaboratively with all team members Essential Job Functions (include the following): Enter new and refill prescriptions into operating system in accurate and timely manner to eliminate errors at dispensing Triage incoming fax prescriptions to ensure timely dispensing Ensure proper notes in computer and cycle fill coding Calculate and/or verify the correct dosage based on the prescription Demonstrate caring, understanding and courtesy when responding to calls from customers. Route calls as appropriate to ensure top level service Ensure all prescriptions assigned for processing are completed in regular shift Receive, evaluate, process and follow-up as needed with doctors’ offices on all refills assigned Develop proficiency in the utilization of all pharmacy systems (ie document imaging, legacy pharmacy computer operating system) On an as needed, may assist with filing of completed orders, packaging of medications, inventory, profiling of orders for medical records, and filling processed prescriptions to dispense to the patient Develop and learn cycle in order to meet delivery deadlines. Maintain data entry records for cycle medication, fill requests and process cycle medication orders needing renewal in addition to new cycle orders as applicable Other essential functions and duties may be assigned as needed Education and/or Certifications High School Diploma or GED (per state requirements) Pharmacy Technician license/certification/registration (per state requirements); National Certification preferred (PTCB) Skills and Qualifications: 2+ years of related experience (advanced degree may substitute for experience) Advanced computer skills; pharmacy operations system experience preferred Ability to work independently and deliver to deadlines Ability to solve problems with minimal direction Great attention to detail and accuracy Ability to excel in a fast-paced, team-oriented environment working on multiple tasks simultaneously, while adhering to strict deadlines Quality minded; motivated to seek out errors and inquire when something appears inaccurate Work Environment: Ability to work flexible hours, including weekends, holiday and overtime. What We Offer: Guardian provides employees with a comprehensive Total Rewards package, supporting our core value of, “Treat others as you would like to be treated.”Compensation & Financial Competitive pay 401(k) with company match Family, Health & Insurance Benefits (Full-Time employees working 30+ hours/week only) Medical, Dental and Vision Health Savings Accounts and Flexible Spending Accounts Company-paid Basic Life and Accidental Death & Dismemberment Company-paid Long-Term Disability and optional Short-Term Disability Voluntary Employee and Dependent Life, Accident and Critical Illness Dependent Care Flexible Spending Accounts Wellbeing Employee Assistance Program (EAP) Guardian Angels (Employee assistance fund) Time Off Paid holidays and sick days Generous vacation benefits based on years of service The Guardian Difference Our clients require pharmacy services that aren’t “cookie cutter.” That’s why every Guardian pharmacy is locally operated and empowered with the autonomy to tailor their business to meet their clients’ needs. Our corporate support offices, based in Atlanta, Ga., provide services such as human resources, business intelligence, legal, and marketing to promote the success of each Guardian location. Regardless of your role at Guardian, your voice and talents matter. Because healthcare is an ever-changing industry, we encourage innovative thinking, intellectual curiosity, and diverse viewpoints to ensure we stay competitive in today’s dynamic business environment. At Guardian, we are dedicated to fostering and advancing a diverse and inclusive workforce. Join us to discover what your best work truly looks like.

Job Description: Short Description: Under broad supervision, combines strong technical skills with knowledge of database administration. Works on one or more projects of high complexity. Provides technical support to development team members. Complete Description: We are seeking a motivated Data Engineer to join our team and support the modernization of our data estate. This role focuses on assisting with data pipeline development, migration of legacy systems, and maintaining scalable, secure, and efficient data solutions using modern technologies, particularly Microsoft Fabric and Azure-based platforms. Work Location & Attendance Must be physically located in Georgia Experience Required: 2-3 years Key Responsibilities Assist in designing, building, and maintaining ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks. Support migration and maintenance of SSIS packages from legacy systems. Implement medallion architecture (Bronze, Silver, Gold) for data lifecycle and quality. Create and manage notebooks (Fabric Notebooks, Databricks) for data transformation using Python, SQL, and Spark. Build curated datasets to support Power BI dashboards. Collaborate with data analysts and business stakeholders to deliver fit-for-purpose data assets. Apply data governance policies in line with Microsoft Purview or Unity Catalog. Support monitoring, logging, and CI/CD automation using Azure DevOps Technical Stack Microsoft Fabric (Dataflows, Pipelines, Notebooks, OneLake) Azure Databricks SQL Server / SQL Managed Instances Power BI SSIS (migration and maintenance) LangGraph and RAG DB (for advanced data workflows) Qualifications Bachelor's degree in computer science, Information Systems, or related field. 2–3 years of experience in data engineering or related roles. Proficiency in SQL, Python, Spark. Familiarity with LangGraph and RAG DB concepts. Hands-on experience with Microsoft Fabric and Power BI. Understanding of ETL/ELT pipelines and data warehousing concepts. Preferred Knowledge of CI/CD automation with Azure DevOps. Familiarity with data governance tools (Microsoft Purview, Unity Catalog). Experience with SSIS package migration and maintenance. Skills Matrix Bachelor's degree in computer science, Information Systems, or related field. Required 3 Years 3-5 years of experience in data engineering or related roles. Required 3 Years Familiarity with LangGraph and RAG DB concepts. Required 3 Years Understanding of ETL/ELT pipelines and data warehousing concepts. Required 3 Years Knowledge of CI/CD automation with Azure DevOps. Nice to have 3 Years Familiarity with data governance tools (Microsoft Purview, Unity Catalog). Nice to have 3 Years Experience with SSIS package migration and maintenance. Nice to have 3 Years Flexible work from home options available. Compensation: $65.00 - $66.00 per hour About Us AHU Technologies INC. is an IT consulting and permanent staffing firm that meets and exceeds the evolving IT service needs of leading corporations within the United States. We have been providing IT solutions to customers from different industry sectors, helping them control costs and release internal resources to focus on strategic issues. AHU Technologies INC. was co-founded by visionary young techno-commercial entrepreneurs who remain as our principal consultants. Maintaining working relationships with a cadre of other highly skilled independent consultants, we have a growing number of resources available for development projects. We are currently working on Various projects such as media entertainment, ERP Solutions, data warehousing, Web Applications, Telecommunications and medical to our clients all over the world.

Azenta Inc. At Azenta, new ideas, new technologies and new ways of thinking are driving our future. Our customer focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships. All we accomplish is grounded in our core values of Customer Focus, Achievement, Accountability, Teamwork, Employee Value and Integrity Job Title Senior Product Data Analyst Job Description Position Summary This role is onsite 4 days/week in Burlington, MA We are hiring a Senior Product Data Analyst to drive actionable insights, shape product decisions, and elevate our data-driven culture. As a core member of the Product team, this role will partner with UX, Engineering, and Business stakeholders to define metrics, build intuitive dashboards, and uncover opportunities that accelerate product innovation. This is a high-impact, individual contributor role ideal for someone who thrives at the intersection of analytics, product, and user experience—and enjoys owning insights from data sourcing to storytelling. Key Responsibilities Define, influence, and maintain core product KPIs that inform feature adoption, user engagement, retention, and business value Conduct deep-dive analyses on product performance, user behavior, funnel conversion, and feature usage Deliver product opportunity and prioritization recommendations through data synthesis and scenario modeling Analyze results from A/B and multivariate tests to evaluate product experiments and performance impact Build and maintain self-serve dashboards in Power BI or Tableau to support product team transparency and decision-making Communicate complex findings via visual storytelling, presentations, and concise executive summaries Support data definition, documentation, and alignment across product and engineering partners Collaborate with engineers to validate data pipelines, understand model outputs, and improve data integrity Partner with UX and PMs to triangulate quant + qual data for experience and journey optimization Contribute to a growing data culture and support implementation of best practices in analytics methodology and governance Required Qualifications 5+ years in data, product, or business analytics roles with measurable impact on digital product performance Proficiency in SQL and Python for querying, analysis, and automation Strong skills in Power BI, Tableau, or similar tools for dashboard creation and reporting Deep experience conducting behavioral, product, and retention analysis using large-scale data Excellent communication and data storytelling skills, with experience presenting to product and executive stakeholders Experience defining metrics, synthesizing data sources, and delivering insight in agile, cross-functional teams Preferred Qualifications Experience in enterprise SaaS, B2B, digital commerce, or life sciences environments Familiarity with experimentation platforms (e.g., Adobe Target, Optimizely, Google Optimize) Knowledge of statistical methods, A/B testing, or causal inference Exposure to data governance, metadata management, and compliance frameworks (e.g., GDPR, 21 CFR Part 11) Top Outcomes (6–12 Months) Deliver a complete set of KPI dashboards across key product areas Develop and operationalize product opportunity and prioritization models Build a scalable analytics framework that supports experimentation, decision-making, and roadmap validation Tools & Technologies SQL, Python Power BI, Tableau Excel, PowerPoint Jupyter, Git, Confluence Amplitude, Mixpanel, Adobe Analytics (nice to have) EOE M/F/Disabled/VET If any applicant is unable to complete an application or respond to a job opening because of a disability, please email at Recruiting@azenta.com for assistance. Azenta is an Equal Opportunity Employer. This company considers candidates regardless of race, color, age, religion, gender, sexual orientation, gender identity, national origin, disability or veteran status. United States Base Compensation: $107,000.00 - $134,000.00 The posted pay range for this position is an estimate based on current market data and internal pay structure. Final compensation may vary above or below this range depending on factors such as experience, education (including licensure and certifications), qualifications, performance, and geographic location, among other relevant business or organizational needs.

We’re Watts. Together, we’re reimagining the future of water. We feel proud every day about what we do. We're all part of the same crucial mission, no matter what function we support -- it's to provide safe, clean water for the world, and to protect our planet's most valuable resource. What we do: For 150 years, Watts has built best-in-class products that are trusted by customers in residential and commercial settings across the world. We are at the forefront of innovation, working with cutting-edge technology to provide smart and connected, sustainable water solutions for the future. Watts is a leading brand with a quality reputation — and we have a dynamic future ahead.​ The Watts Internship Program is your chance to bring what you’ve learned in the classroom to life! You’ll dive into real-world projects, gaining hands-on experience while learning how business really works from the inside. During the program, you’ll get to roll up your sleeves and make an impact on day-to-day operations. Plus, you'll have tons of opportunities to network with passionate professionals across manufacturing, industrial engineering, and more—sparking new ideas through cross-department collaboration. It’s all about expanding your skills, challenging yourself, and exploring where your ambitions can take you! This data-driven individual, as part of the Customer Solutions Team, will be responsible for enhancing operational efficiency and customer experience by improving workflows, automating processes, and generating data intelligence reports. This position reports to the Customer Solutions Manager. This role is hybrid and is based in Fort Worth, TX. Primary Job Duties and Responsibilities Workflow Automation: Assist in automating business processes to improve efficiency, focusing on streamlining repetitive tasks using Robotic Process Automation (RPA). Customer Parts Lookup Tool: Support the design and development of a digital parts lookup tool that enables customers to easily identify and order the correct product parts. Assist with requirements gathering, data organization, and user experience improvements. Data Intelligence Reporting: Generate and analyze reports to support data-driven decision-making, focusing on key performance metrics and operational efficiency. Process Mapping: Document existing workflows and suggest optimizations to boost productivity and reduce inefficiencies. Collaboration: Work with cross-functional teams (IT, Sales, Operations, and Customer Solutions) to implement automation solutions, process improvements, and customer-facing tools. Reporting & Presentation: Create reports and presentations summarizing analytics, automation progress, and process recommendations. Required Qualifications Current student (rising junior or senior) actively pursuing a bachelor’s degree in Business, Industrial Engineering, Data Analytics, or related field. Experience with data analysis, workflow automation tools, and RPA platforms (e.g., UiPath). Strong analytical and problem-solving skills. Excellent interpersonal, communication skills and a strong team player. Passionate about your work, with a genuine desire to contribute meaningfully and make an impact. Demonstrated commitment to integrity and respect in interactions with others, fostering a positive and inclusive work environment. Strong sense of accountability, taking ownership of tasks and following through on commitments. Must be authorized to work in the United States and do not require sponsorship now or in the future. Preferred Qualifications Proficiency in Microsoft Office (MS Excel preferred). Experience with data visualization tools (e.g., Power BI) is a plus. General Applicable Company Competencies Commitment to Watts’ values of integrity, accountability, continuous improvement and innovation, and transparency. Punctuality and dependability. Ability to be flexible and adapt to changing work priorities and stressful conditions. Adherence to all personnel policies, procedures, and standards of process as implemented by Watts. Maintain productive and collaborative relationships with other Watts employees. Adherence to Watts’ seven cultural beliefs: Growth Mindset, Customer-Focused Innovation, Constant Communication, Clear Goals, Collaborate Globally, Be Inclusive, and Take Action. Working Conditions: While performing the job duties, you will be working in an office environment. You will be required to work in the office at the Fort Worth location three days per week (Monday – Wednesday) and can work remotely two days per week (Thursday and Friday). Physical Requirements : Specific physical abilities required for this position include, but are not limited to: Ability to remain seated at a desk or workstation for extended periods. Ability to perform repetitive tasks like typing on a keyboard or using a mouse for extended periods. Ability to physically move around the office, organize or transport files, packages, or other office-related materials. Ability to read documents, use a computer, and perform data entry tasks. Ability to communicate clearly with management and coworkers, particularly in meetings or phone calls. Ability to operate standard office equipment such as computers, printers, phones, and copiers. Ability to occasionally lift and carry light objects, such as office supplies, documents, or small equipment. Nothing in this job description restricts Watts’ right to assign or reassign duties, responsibilities, and working hours/conditions to this position at any time. This position is “at will,” which means that either the employee or Watts may terminate the employment relationship at any time, with or without notice, and for any lawful reason. #LI (Hybrid) Watts in it for you : Please note that the following benefits apply only to permanent roles and do not apply to internship roles. Competitive compensation based on your skills, qualifications and experience Comprehensive medical and dental coverage, retirement benefits Family building benefits, including paid maternity/paternity leave 10 paid holidays and Paid Time Off Continued professional development opportunities and educational reimbursement Additional perks such as fitness reimbursements and employee discount programs Learn more about our benefit offerings here: https://tapintowattsbenefits.com/ How we work: At Watts, our culture is team-oriented and supportive. Employees here genuinely care about the quality of their work, and about each other. Our people are the heart of who we are and contribute to our longevity and continued success. And this is a place where you can have a big career. No matter your role, there are opportunities for learning and development, and your daily contributions make a meaningful impact on the lives of people who use our products and on the future of water. Watts is committed to equal employment opportunity. We follow a policy of administering all employment decisions and personnel actions without regard to race, color, religion, creed, sex, pregnancy, national origin, sexual orientation, age, physical or mental disability, genetic disposition or carrier status, marital status, military or veteran status, minorities, or any other category protected under applicable federal, state, or local law. Consistent with the obligations of state and federal law, Watts will make reasonable accommodations for qualified individuals with disabilities. Any employee who needs a reasonable accommodation should contact Human Resources.

Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation (NYSE: AES), a Fortune 500 company that's leading the charge in the global energy revolution. With operations spanning 14 countries , AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work , you can be confident that you're joining a company that values its people just as much as its groundbreaking ideas. AES is proudly ranked #1 globally in renewable energy sales to corporations, and with $12.7B in revenues in 2023 , we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement's goals by 2050. Our innovative solutions, such as 24/7 carbon-free energy for data centers, are setting the pace for rapid, global decarbonization. If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation. At AES, our commitment to a sustainable future drives us to explore the frontier of artificial intelligence. As pioneers in clean energy, we harness data, analytics, and cutting-edge agentic AI (autonomous intelligent agents) to optimize operations, anticipate challenges, and accelerate the transition to zero carbon. Joining our Renewables Data, AI & Analytics team means entering an innovative environment where you will help shape next-generation intelligent systems for energy. Role Overview We are seeking a strategic and technically capable Analyst, Data & AI Solutions to support the design, development, and deployment of AI/ML and agentic AI initiatives across the Clean Energy business. This role blends data science expertise with business analysis and stakeholder engagement, enabling the organization to accelerate AI-driven innovation while reducing the operational burden on leadership. The ideal candidate will be able to identify and document AI/ML project requirements, contribute to solution development, and lead strategic conversations with stakeholders. This position is critical to shaping the early stages of AI initiatives and supporting the creation of strategic presentations, standards, and processes. Key Responsibilities AI/ML Requirements Gathering: Collaborate with stakeholders across engineering, operations, and business teams to capture and document requirements for AI/ML and agentic AI projects. Translate business needs into technical specifications and use cases. Solution Development Support: Assist in prototyping and developing AI/ML models and intelligent agents using platforms such as Microsoft Copilot Studio, Python, and cloud-based tools (Azure, GCP). Support integration of AI solutions into operational workflows. Stakeholder Engagement: Lead or support strategic meetings with internal teams to ideate AI use cases, present solution options, and align initiatives with business goals. Act as a liaison between technical teams and business units. Strategic Presentation & Documentation: Prepare executive-level presentations, reports, and documentation that summarize project scope, value, and progress. Support the Data & AI Solutions Manager in communicating standards, processes, and strategic roadmaps. Responsible AI & Governance: Uphold principles of Responsible AI including fairness, transparency, and safety. Ensure solutions comply with internal governance frameworks and ethical standards. Monitoring & Iteration: Track performance of deployed AI/ML solutions and agents. Collect feedback, monitor KPIs, and assist in iterative improvements to enhance business impact. Qualifications Bachelor’s degree in Data Science , Computer Science, Engineering, or a related field. 1–2 years of experience in data science, machine learning, or AI (including internships or academic projects). Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch ); familiarity with SQL and data visualization tools (e.g., Power BI). Exposure to agentic AI platforms (e.g., Microsoft Copilot Studio, Google AgentSpace ) is a plus. Strong communication and interpersonal skills; able to explain technical concepts to non-technical audiences and capture business requirements effectively. Demonstrated ability to work cross-functionally and manage multiple priorities. Certifications in AI/ML, data analytics, or Responsible AI are desirable. Preferred Attributes Experience with prompt engineering or working with large language models (LLMs). Familiarity with cloud platforms (Azure, GCP) and enterprise data environments. Strategic mindset with a passion for innovation and continuous learning. Ability to work independently and proactively in a fast-paced environment. AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.The expected salary for this position, at commencement of employment, is between $73,000 and $88,400/Annual; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements such as annual bonus, in addition to a full range of medical, dental, vision, life, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Technology Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $126,500.00 - $208,700.00 Target Openings 1 What Is the Opportunity? Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate stories found in data by leveraging a variety of data programming techniques. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. What Will You Do? Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions. Design complex data solutions Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes. Incorporate core data management competencies including data governance, data security and data quality. Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment. Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate. Test data movement, transformation code, and data components. Perform other duties as assigned. What Will Our Ideal Candidate Have? Bachelor’s Degree in STEM related field or equivalent. Eight years of related experience. Strong preference for hands-on experience with Angular framework for building front-end web applications. Required to have proven experience with Django for building the server-side (back-end) of web applications. Highly proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and a full understanding of modern software engineering practices. The ability to deliver work at a steady, predictable pace to achieve commitments, deliver complete solutions but release them in small batches, and identify and negotiate important tradeoffs. Demonstrated track record of domain expertise including understanding technical concepts necessary and industry trends, and possess in-depth knowledge of immediate systems worked on and some knowledge of adjacent systems. Strong problem solver who ensures systems are built with longevity and creates innovate ways to resolve issues. Strong written and verbal communication skills with the ability to work collaborate well with team members and business partners. Ability to lead team members and help create a safe environment for others to learn and grow as engineers. and a proven track record of self-motivation in identifying opportunities and tracking team efforts. What is a Must Have? Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience. 4 additional years of data engineering experience. What Is in It for You? Health Insurance : Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/ .

Mark43’s mission is to empower communities and their governments with new technologies that improve the safety and quality of life for all. We build powerful, scalable, and elegant software that sets a new standard for the tools upon which our first responders rely. Our users are diverse, and we are therefore committed to embracing diversity of thought and experience within our team. We are looking for a Director of AI and Data Strategy to drive how Mark43 leverages data, analytics, and AI to shape business decisions and unlock new opportunities. This role sits at the intersection of data architecture, AI enablement, and cross-functional insight generation. You will lead the development of scalable data infrastructure and intelligent systems while remaining hands-on in developing strategic prototypes and models. Your work will set the direction for how we transform information into action across the company. What You’ll Own This role is about building leverage at scale , not just reporting. Strategy & Architecture Define and execute Mark43’s enterprise data and AI strategy, aligning technical foundations with business and product priorities Lead the evolution of a scalable, trustworthy data platform that consolidates disparate data sources into a single source of truth Establish standards for data governance, quality, observability, and responsible AI use in a regulated public-sector environment AI Enablement & Applied Intelligence Partner with Product, Sales, Operations, and People teams to identify high-value AI opportunities and rapidly prototype solutions Guide the design and deployment of AI-powered workflows, analytics, and decision-support systems—not just dashboards Collaborate with Engineering to embed intelligence into internal tools and future product capabilities Insight to Action Translate complex data and model outputs into clear, actionable insights for executive and senior leaders Personally lead deep-dive analyses on revenue performance, operational efficiency, customer outcomes, or organizational health Build real-time, decision-oriented dashboards and metrics that drive accountability and results Leadership & Influence Act as a trusted advisor to senior leadership on data, AI, and emerging technology trends Align cross-functional stakeholders around shared metrics, priorities, and data-driven decision-making Mentor and grow data and analytics talent as the function scales What You Bring 12+ years of professional experience, including 3+ years leading AI, analytics, or machine learning initiatives Proven experience designing and executing enterprise data strategies—not just managing reporting Strong technical fluency across modern data stacks, BI tools, data modeling, and applied AI/ML concepts Hands-on mindset: you can architect systems and build early prototypes when speed matters Ability to influence senior stakeholders and translate technical concepts into business outcomes Systems thinker who sees connections across people, processes, data, and platforms

About us Pomelo Care is a multi-disciplinary team of clinicians, engineers and problem solvers who are passionate about improving care for moms and babies. We are transforming outcomes for pregnant people and babies with evidence-based pregnancy and newborn care at scale. Our technology-driven care platform enables us to engage patients early, conduct individualized risk assessments for poor pregnancy outcomes, and deliver coordinated, personalized virtual care throughout pregnancy, NICU stays, and the first postpartum year. We measure ourselves by reductions in preterm births, NICU admissions, c-sections and maternal mortality; we improve outcomes and reduce healthcare spend. Role Description Your North Star : Enable AI product development through data modeling, measurement, and data-driven insights We're looking to bring on an experienced data scientist to join a team developing AI-powered products across our platform. As a data scientist on the Care Intelligence team, you will design, build, and optimize intelligent systems that enhance our clinical programs, drive patient engagement, and create new capabilities for our care teams and patients. Become an expert in Pomelo’s business model and patient experience, identifying opportunities for AI product development Complete exploratory analyses to inform development of AI features, such as conversation topic categorization and patient journey segmentations Contribute to the development of AI-powered features and products, such as content generation, clinical decision support, and automated workflows Define and implement quantitative metrics and measurement frameworks to measure the quality and impact of AI-generated content and workflows Execute comprehensive analyses to measure AI product performance, conduct A/B tests, and quantify the impact of AI-driven features on clinical and business outcomes Who you are You are an AI-focused data scientist and product thinker who is passionate about applying technology to healthcare challenges, and excited to work at a startup. Specifically, You have 6+ years professional experience in a data science role with a focus on product development You have 3+ years professional experience working in healthcare or regulated industries Expert proficiency in both SQL and Python Proven experience with AI product prototyping, leveraging LLMs and model evaluation Passionate about improving maternal health outcomes through innovative AI solutions Demonstrated ability to scope and implement solutions to complex, ambiguous problems across multiple domains Excited to work cross-functionally with technical and non-technical teams, effectively communicating technical capabilities and limitations to diverse stakeholders Bonus points if you have any of the following Experience with AI model development including fine-tuning, prompt engineering, model evaluation and building production AI applications Background in healthcare AI, clinical decision support, or medical NLP Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase) Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake) Why you should join our team By joining Pomelo, you will get in on the ground floor of a fast-moving, well-funded, and mission-driven startup that always puts the patient first. You will learn, grow and be challenged -- and have fun with your team while doing it. We strive to create an environment where employees from all backgrounds are respected. We also offer: Competitive healthcare benefits Generous equity compensation Unlimited vacation At Pomelo, we are committed to hiring the best team to improve outcomes for all mothers and babies, regardless of their background. We need diverse perspectives to reflect the diversity of problems we face and the population we serve. We look to hire people from a variety of backgrounds, including but not limited to race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status. Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Pomelo Care. In accordance with New York City, Colorado, California, and other applicable laws, Pomelo Care is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Given that this role is open to candidates of different skill levels, determining a salary range is challenging. A reasonable estimate of the current salary range is $140,000 to $160,000. We expect most candidates to fall in the middle of the range. We also believe that your personal needs and preferences should be taken into consideration, so we allow some choice between equity and cash. Potential Fraud Warning Please be cautious of potential recruitment fraud. With the increase of remote work and digital hiring, phishing and job scams are on the rise with malicious actors impersonating real employees and sending fake job offers in an effort to collect personal or financial information. Pomelo Care will never ask you to pay a fee or download software as part of the interview process with our company. Pomelo Care will also never ask for your personal banking or other financial information until after you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All official communication with Pomelo Care People Operations team will come from domain email addresses ending in @pomelocare.com. If you receive a message that seems suspicious, we encourage you to pause communication and contact us directly at careers@pomelocare.com to confirm its legitimacy. For your safety, we also recommend applying only through our official Careers page. If you believe you have been the victim of a scam or identity theft, please contact your local law enforcement agency or another trusted authority for guidance.

Description The Master Data Manager & Support is responsible for ensuring the integrity, accuracy, and governance of Customer Master Data across the organization. This role will lead to the development and enforcement of master data policies, standards, and processes, ensuring compliance with internal controls and regulatory requirements. The position will have a dotted-line reporting relationship to both Finance and IT , requiring strong cross-functional collaboration to maintain data consistency across Salesforce, ERP systems, and other platforms. ESSENTIAL DUTIES AND RESPONSIBILITIES · Master Data Governance & Integrity Develop and implement master data governance policies, standards, and procedures. Ensure accuracy, completeness, and consistency of Customer Master Data across systems. Maintain and enforce data stewardship roles and responsibilities within the organization. · Data Lifecycle Management Oversee creation, updates, and archival of customer master records. Monitor and resolve data quality issues using established tools and methodologies. Maintain a master data dictionary and metadata repository. · Cross-Functional Collaboration Partner with Finance and IT teams to align master data processes with business objectives. Support integration projects involving Salesforce and ERP systems. Facilitate resolution of data conflicts and harmonization across platforms. · Process Improvement & Technology Identify opportunities to automate and streamline master data processes. Research and implement best practices and emerging technologies in master data management. Provide training and guidance to data stewards and business users. · Compliance & Reporting Ensure compliance with data privacy regulations (GDPR, CCPA) and internal audit requirements. Develop and monitor data quality KPIs and governance dashboards. · Performs other duties as assigned to support the overall success of the team and organization. MANAGEMENT AND SUPERVISORY RESPONSIBILITY · Typically reports to Management Direct Supervisor job title(s) Typically include: Senior Director of Admin with matrix reporting to Finance and IT · Job IS directly responsible for managing other employees (e.g. hiring/termination and/pay decisions, performance management. Job title example(s) of employees directly supervised: Data Analyst JOB QUALIFICATIONS / SKILLS REQUIREMENTS · Excellent communication and stakeholder management skills. · Strong analytical and problem-solving abilities. · Ability to lead cross-functional initiatives and manage competing priorities. M ust be able to manage multiple priorities while meeting assigned deadlines · Must exercise strong decision making and analytical thinking · Ability to work independently and with teams EDUCATION AND EXPERIENCE REQUIREMENTS · Bachelor’s degree in Information Technology, Computer Science, Business Administration, or related field. · 5+ years in Master Data Management or Data Governance roles. · Proven experience with Salesforce CRM and ERP systems (SAP, Oracle, or similar). · Experience implementing data governance frameworks in large organizations. · Proficiency in SQL and familiarity with data management tools (Informatica, SAP MDG, etc.). WORKING CONDITIONS · Regular business hours. Some additional hours may be required. · Travel requirements: Domestic: Up to 20% · Climate controlled office environment during normal business hours.

The Aerospace Systems Group with the Leidos Defense System Sector currently has an opening for a Senior Data Scientist supporting the RF Engineering portfolio in Huntsville, AL. This is an exciting opportunity to use your experience in support of the operation and maintenance of advanced RF systems that provide critical information to customers. Primary Responsibilities: Responsible for the design and development of methods and processes to analyze RF signal data. Will develop and use advanced statistical concepts, algorithms, querying and automated processes to model, integrate and evaluate complex data. The analyst must be able to develop Python and/or MATLAB scripts to perform digital signal processing; develop, validate, and document algorithms that define discovered behaviors; and present the algorithms to co-workers and customers. Basic Qualifications: Requires bachelor’s degree in engineering, physics, or mathematics with minimum of 12 years of experience; Masters with 6 – 10 years of prior relevant experience. May possess a Doctorate in technical domain. Current Top Secret clearance. (U.S. Citizenship is required) Requires experience with Python and/or MATLAB development. Experience in RF analysis. Ability and willingness to work onsite in Huntsville Alabama. Preferred Qualifications Experience utilizing Agile methods for development C++ programming experience Experience managing databases At Leidos, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.” If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in. Original Posting: January 13, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Description We’re seeking a reliable, safety-conscious, and tech-savvy Field Data Collection Driver to support a high-precision mapping initiative for our client’s digital mapping project . In this role, you will operate a company-provided vehicle equipped with a specialized 360-degree camera system to capture street-level imagery. This imagery is used to support global geospatial technology platforms and mapping services, which will power maps and navigation products worldwide. No mapping experience required – Training and technical support will be provided. Key Responsibilities Operate a vehicle equipped with camera systems to capture 360-degree imagery. Follow pre-defined driving routes provided daily. Upload collected data from onboard devices after each shift. Conduct regular equipment checks to ensure smooth operation. Communicate with the technical support team regarding issues or updates. Maintain a professional and courteous presence while representing the program in public areas. Who You Are You are a responsible, tech-comfortable driver who enjoys working independently. You follow rules carefully, keep your vehicle in good condition, and care about safety. Additional Details All equipment, vehicles, and training are provided. Candidates must pass a background check, comply with routine safety screenings, and complete onboarding training. Schedule: Full-time, Monday to Friday, with some flexibility depending on weather and route completion Willing to drive up to 8 hours/day on public roads, occasionally covering long distances. Access to secure parking (preferably with CCTV) for the company vehicle is preferred — assistance may be provided for qualifying candidates. Requirements Valid driver's license with at least 3 years of driving experience (5+ preferred). Good driving record with no major violations in the past 3 years. Strong attention to detail and comfort using mobile apps or in-vehicle technology. Ability to lift up to 25 lb (10-15kg) occasionally and perform basic physical tasks related to equipment setup Reliable, self-motivated, and able to work independently for extended hours. Preferred Qualifications Previous experience in field data collection, delivery driving, or GIS-related roles. Familiarity with geospatial tools or interest in mapping technologies. Benefits Competitive pay and full reimbursement for fuel, tolls, and travel expenses Experience working with cutting-edge camera, mapping technologies, and to be part of a globally recognized tech-driven project

We are looking for AI Data Specialists to support the improvement of AI-generated content in English . Job Type: Freelance Location: Wisconsin, work from home Work Schedule: Part-time - 10+ hours per week. Flexible - work when available Start Date: Immediately Duration: TBC Rate: 15 USD/hour Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models? What You’ll Do The role involves performing diverse data-related tasks, including: - Data collection, evaluation, and annotation. - Pairwise comparisons. - Counting tasks. - Object tagging and labeling across different content types (audio, video, images, or collected data) What we’re looking for: - English Proficiency : Fluent or advanced proficiency in English (levels B2–C2) - AI & Data Capabilities (Preferred) : Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling. What We Offer - Flexible schedule - Opportunity to earn extra income - Timely payments - The job is ideal for students, part-timers, or stay-at-home parents #LI-PR15 Vendor Type When applying, please select the option that best describes your working status. Are you a Freelancer or Private Individual? A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual. RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.

Mendix is a low-code app development platform: First, what is low-code? Low-code is a visual approach to software development that enables you to abstract and automate every step of the application lifecycle. Gartner predicts that “by 2024, low-code application development will be responsible for more than 65% of application development activity.” Mendix, the global leader in enterprise low-code, is fundamentally reinventing the way applications are built. The Mendix platform was created to promote collaboration between Business & IT teams so that an entire organization can participate in the application development process. With Mendix, thousands of forward-thinking companies around the world like Ford Auto, Zurich Insurance, Freshfields, and Red Bull, can unleash their best ideas quickly. Mendix is repeatedly ranked a Leader in analyst reports from Gartner and Forrester. In the 2021 Gartner® Magic Quadrant for Multiexperience Development Platforms, Mendix placed at the very top of the Leaders quadrant. Mendix is a Siemens Business: Siemens is a Top 10 Global Software Company and a leader on Fast Company’s Most Innovative Companies in the World! With the acquisition of Mendix in 2018, Siemens Digital Industries Software is driving transformation to enhance the digital enterprise where engineering, manufacturing and electronics meet the future of innovation. Mendix employees have the opportunity to work in a hyper-growth environment with the support of Siemens’ unbeatable legacy and resources. Principal Presales Consultant – Digital, Data, Analytics & AI Siemens Digital Industries Software Siemens is redefining how enterprises turn data into action . By combining Mendix low-code applications with advanced data, analytics, and AI platforms , Siemens enables organizations to move from insights to AI-driven operational impact at scale. With the 2025 acquisition of Altair Graph Studio , Siemens now offers a Knowledge Graph platform that integrates, models, and reasons over complex data to power Generative AI, Agentic AI, and autonomous systems . We are seeking a Principal Presales Consultant to help customers navigate enterprise AI transformation , connecting business challenges to Siemens’ end-to-end digital, data, and AI capabilities. Your Role Lead discovery of customer AI/data ecosystems , assess AI/ML maturity, and uncover strategic opportunities Position Siemens’ Knowledge Graph platform as the foundation for enterprise-grade Agentic and Generative AI Demonstrate how Graph Studio & Graph Lakehouse enhance LLM accuracy, reduce hallucinations, and enable intelligent automation Connect Mendix applications to data and AI foundations for rapid, impactful solutions Advise C-suite and technical stakeholders on data-to-AI strategy and roadmap What You Bring Presales, sales engineering, solution architecture, or technical consulting experience Strong understanding of modern data platforms, analytics, and AI/ML pipelines Ability to influence executives and guide enterprise-scale AI adoption Comfort across cloud, data, AI, and application architectures Bonus / Nice-to-Have: Experience with Palantir (Foundry, Gotham, AIP) or similar platforms Knowledge of knowledge graphs, semantic tech, graph databases, or data fabrics Exposure to RAG, Agentic AI, or enterprise GenAI deployments Why This Role at Siemens From Data to Action : Mendix + Graph Studio + Lakehouse = integrated path from insights to operational AI Semantic AI Foundation : Knowledge Graphs ensure trust, context, and explainability for enterprise AI Industrial & Enterprise Scale : Apply AI in mission-critical environments where reliability matters Strategic Influence : Guide enterprise AI adoption at the architectural and executive level For Palantir Candidates: Extend your experience beyond a single platform to next-gen AI and digital enterprise transformation . Shape how global organizations integrate, govern, and operationalize AI at scale. Equal Employment Opportunity Statement Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law Applicants and employees are protected under Federal law from discrimination. To learn more, Click here . Pay Transparency Non-Discrimination Provision Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here . California Privacy Notice California residents have the right to receive additional notices about their personal information. To learn more, click here .

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer - REMOTE. In this role, you will play a crucial part in developing and maintaining our data architecture and systems to support our rapidly expanding platform. Your contributions will directly impact the efficiency of our data handling processes and the robustness of reporting functionalities. Working with big data tools, you will address high-volume data challenges, enabling our partners to leverage digital assets more efficiently. As we integrate advanced features in the fintech space, your skills will help drive innovation and improvement in our services while working in a fully remote environment. Accountabilities Use Google Big Query and GCP Suite or similar big data tools to deliver on data warehouse and reporting requirements Utilize Databricks and similar ETL tools to perform data extraction and transformation of high volume records Architect, design, and build pipelines to move large amounts of data from various sources Improve existing data warehouse architecture for enhanced reporting Handle large volumes of data and complex integration processes Build reusable code and libraries for future use Expertise with Firestore is a plus Requirements 5+ years of experience in programming primarily around JavaScript, SQL, and Python Experience in Web3 and dapps is a plus Proficient understanding of client-side scripting and JavaScript frameworks, including jQuery Expertise in ETL tools and data transformation Strong experience with Agile methodologies and SCRUM processes Strong written and verbal communication skills Bachelor’s degree in Computer Science or related discipline Interest in digital assets, decentralized finance, and cryptocurrencies Passionate about software quality and test-driven development Benefits Fully remote work environment Flexible working hours Opportunities for professional development and growth Collaborative and innovative team culture Engagement with cutting-edge technologies in digital finance Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l 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 an experienced data engineer 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 help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, 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: 5+ years of experience in application development 5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale 3+ years of experience creating sof tware for retrieving, parsing, and processing structured and unstructured data 3+ years of experience building 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 TS/SCI clearance Bachelor’s degree Nice If You Have: Experience with Python, SQL, Scala, or Java Experience with UNIX or Linux, including basic commands and Shell scripting Experience with a public cloud, including AWS, Micro sof t Azure, or Google Cloud Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience working on real-time data and streaming applications Experience with NoSQL implementation, including MongoDB or Cassandra Experience with data warehousing using AWS Redshift, MySQL, or Snowflake Experience with Agile engineering practices 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 $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

About Sprinter Health: At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS . Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. About The Role: We're looking for an entrepreneurial Data Engineer with interest in agentic AI and at least 5 years of general engineering experience who wants to make an impact as one of the founding engineers of our new AI-focused incubator teams. We want to make a difference in the lives of those falling between the cracks of the current healthcare system, and could use all the help we can get exploring how AI can help bridge those gaps. *If you love working 0 → 1* , we want to talk to you. While our core products are already humming, we're always looking for new ideas to expand access to care. And as a "startup within a startup", our incubator teams will have all of the freedom of a seed stage startup, but with the unfair advantage of direct customer relationships with 6 of the 10 largest US health plans and access to much deeper resources. Office Location: We are a hybrid company based in the Bay Area with offices in both San Francisco & Menlo Park. We care about work-life balance, and understand that there will be times where flexibility is needed. What you have done: Data Engineering: At least 5 years of broad experience Deep understanding of scalable data systems, ETL/ELT pipelines, and observability best practices Hands-on with BigQuery, Airflow, DBT, or AWS Glue Familiarity with varied database types (relational, document, columnar, key-value, vector, etc.) Startup Culture: At least 1 year of experience working at the seed stage, whether as a cofounder or early engineer. An impatient desire to hack, scrappiness is a virtue! Technologies: Python and JS/TS (Join and help us decide!) The interview Process: We aim to complete the interview process between 2-3 weeks. It will usually consist of: Recruiter Screen (30-Minutes) Hiring Manager Introduction (30-Minutes) Technical Assessment (45-Minutes) Onsite Interview: Systems Design+ Behavioral Interview + Lunch with the Team (3-hours) References What we offer: Meaningful pre-IPO equity Medical, dental, and vision plans 100% paid for you and your dependents Flexible PTO + 10 paid holidays per year 401(k) with match 16-week parental leave policy for birthing parent, 8 weeks for all other parents HSA + FSA contributions Life insurance, plus short and long-term disability coverage Free daily lunch in-office Annual learning stipend Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes. Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here . All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com.

The Senior Data Product Manager owns the end-to-end lifecycle of data products that enable analytics, interoperability, and business insights across the enterprise. This role sits at the intersection of data strategy, product management, and technology, driving adoption of modern data platforms and ensuring data products deliver measurable business value at scale. The Senior Data Product Manager balances strategic foresight with executional rigor, identifying emerging opportunities, shaping long-term roadmaps and ensuring delivery of data and analytics solutions that advance business goals and improve customer outcomes. Salary range: $116,644-151,637 plus 10% bonus At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. Benefits Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it. Benefits include: -PTO, holiday pay and holiday of choice -401(k) match -Life insurance -Short-term disability -Health, dental and vision insurance -Maternity/paternity leave -Health savings account (HSA) -Flex spending accounts (FSA) – health and dependent Position Responsibilities may include, but not limited to With the VP, Data & Analytics, define and communicate the vision for data products aligned with business value; maintain and evolve a multi-year roadmap ensuring alignment with company goals, market opportunities and user needs Develop, maintain and ensure alignment for a product roadmap for data platform and analytics capabilities Prioritize features based on ROI, user needs, and technical feasibility Conduct user research, validate assumptions, and translate insights into actionable product requirements Drive discovery & user research: uncover unmet needs, validate assumptions, and embed insights into data product direction Own the research to delivery loop: Translate insights into initiatives, define clear success metrics, and ensure delivery teams build features that address validated needs Scalability: Drive platform strategy, ensuring solutions are scalable, configurable, secure, and compliant Adoption and optimization: Build upon our modern tech stack, leveraging Azure Data Lake, Databricks, and dbt for scalable data processing and transformation Partner on integration strategies leveraging MuleSoft for real-time and batch data flows Ensure seamless interoperability between data products and BI tools like Power BI Stay ahead of industry shifts: Track SaaS, healthcare tech, and regulatory trends, incorporating insights into forward-looking data product planning Collaborate with engineering and analytics teams to translate requirements into technical specifications Manage backlog, sprints, and release cycles in Agile environments; ensure timely delivery of features that meet quality and compliance standards Lead cross-functional delivery: Partner closely with engineering, design, operations, compliance, and go-to-market teams to ensure aligned execution Partner with governance teams to enforce lineage, cataloging, and security standards; ensure HIPAA/GDPR compliance Enable experimentation & growth: Design and oversee A/B tests, pilots, and phased rollouts to evaluate product impact and accelerate learning Focus on adoption & retention: Monitor product utilization, user retention and other product performance measures such as user satisfaction or operational efficiency, and iterate based on analytics and user feedback Act as the voice of the customer, gathering requirements and validating solutions Manage complex trade-offs: Drive stakeholder alignment on sequencing, prioritization, and resourcing in a way that balances short-term delivery and long-term vision Mentor & coach: Provide guidance and development opportunities for product owners, business analysts, and other team members Communicate product updates and insights to executives and cross-functional teams Required Skills and Experience Bachelor’s degree in Computer Science, Data Science, or related field 7+ years in product management or product management certification, with at least 3 years focused on driving data products from strategy through adoption Experience in healthcare or adjacent regulated industries and healthcare data and analytics products Cloud Data Platforms: Azure Data Lake, Azure Synapse, Databricks, dbt Data Integration: MuleSoft, APIs, batch/real-time flows BI Tools and data visualization best practices: Power BI, dashboard design, KPI frameworks Familiarity with SQL, Python, and data modeling concepts Strong analytical skills; ability to interpret data to inform decisions Proven ability to define product vision, create roadmaps, and manage lifecycle Proven ability to drive adoption, retention and measurable user value Experience in Agile methodologies (Scrum/Kanban), backlog management and sprint planning Excellent communication, alignment and influence skills across all levels of the organization Strong strategic, analytical and decision-making skills; ability to balance short-term delivery and long-term vision Strong business acumen, with experience making ROI-driven prioritization decisions Systems thinker who can zoom-in on details while keeping a strategic perspective Curiosity, adaptability and ability to thrive in a fast-paced environment Leadership and mentoring of junior data product managers or analysts Preferred Skills and Experience Advanced degree in a quantitative or business discipline Certifications in Azure, Databricks, or Power BI Familiarity with Microsoft Fabric and emerging data technologies Experience implementing Unity Catalog, Purview, or similar governance tools Exposure to AI/ML productization and advanced analytics Knowledge of data governance frameworks and regulatory compliance Familiarity with CI/CD pipelines and DevOps practices for data products Background in healthcare operations and delivery Physical Requirements Repetitive motions that include the wrists, hands and/or fingers Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus

Who We Are Arrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today! Who We Want As a Data Engineering Manager within the Technology Organization of Arrive Logistics, you’ll play a key role in delivering highly impactful and revenue-generating data products, insights, and capabilities of our Data Platform. Our Data Engineering team is at the heart of our analytics and data science capabilities, with the mission of building a Data Platform to ensure teams in the analytical space have access to infrastructure, systems, and data that fit their unique workflows and use cases. You’ll sit within the Engineering Organization supporting internal technology powering Arrive Logistics in the fast-paced freight industry. If you’re looking to influence data-driven decision making alongside industry experts and a passionate, supportive team, read on. What You'll Do Manage and mentor a team of Data Engineers, ensuring members of the team have clear career paths and opportunities for learning and growth Evaluate performance of direct reports and hold teammates accountable. Hire, promote and manage as needed. Own and execute on the roadmap for the Data Engineering team, ensuring technical debt and technical priorities are represented alongside the team’s Product-facing roadmap Work with Data and Engineering leadership to set strategy for developing Data Platform components and capabilities Develop strong relationships with leaders in Analytics, Engineering, and Product to align on architectures and standards for ingesting data into the Data Platform and making Data Platform data available to these groups Develop and monitor team KPIs. Run, monitor and analyze reports and provide updates to leadership. Implement related improvements as suggested by data and knowledge of challenges. Set training standards for new hires and continued education. Enable peer to peer training and knowledge transfer. Manage relationships with vendors used for Data Platform components, frequently analyzing costs and weighing tradeoffs between ‘build vs buy’ decisions Define and document standards and best practices for data governance, data management, data quality. Coordinate deployments of data pipelines and systems that have dependencies across Data and Engineering teams Spearhead adoption of new technology, infrastructure, and architectural patterns for teams within in the analytics, reporting, and data science space (including technology/frameworks used by Data Engineering, Data Science, and Analytics Engineering) as we continue building our data stack Take part in Agile ceremonies and work closely with our Project Manager and Tech Lead to ensure meeting cadences and other team processes support the team’s health and vision Qualifications 4+ years of experience in a technical role focused on data, such as Data Engineering, Analytics, Data Science, or equivalent 2+ years of experience leading projects and/or people within Data, Analytics, or Engineering teams Experience with modern and industry standard data tooling such as Snowflake, FiveTran, Airflow, dbt, and BI tools Experience building highly technical data engineering and science systems, including systems with complex analytical or machine learning components Understanding of common data architectures, processes, and paradigms such as data warehousing/modeling, ETL/ELT, data science model development and deployment, event streaming A passion for mentoring and contributing to the success of those around you Experience coordinating projects that have dependencies across multiple teams or organizations Strong organization, prioritization, and change management skills Excellent written and oral communication and presentation skills Experience or familiarity working in agile frameworks Supervisory Responsibility This position is responsible for leading a team of engineers in domestic and international locations. Reports may include employees and contract workers. The Perks of Working With Us Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage. Invest in your future with our matching 401(k) program. Build relationships and find your home at Arrive through our Employee Resource Groups. Enjoy office wide engagement activities, team events, happy hours and more! Leave the suit and tie at home; our dress code is casual. Work in the booming city of Austin, TX – we are in a convenient location close to the airport and downtown. Park your car for free on site! Start your morning with a specialty drink from our fully stocked coffee bar, Broker’s Brew. Sweat it out with the team at our onsite gym. Maximize your wellness with free counseling sessions through our Employee Assistance Program Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days. Receive 100% paid parental leave when you become a new parent. Get paid to work with your friends through our Referral Program! Get relocation assistance! If you are not local to the area, we offer relocation packages. Your Arrive Experience When we say “award-winning culture,” we mean it. We’ve been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we’re not in it for the trophies. We’re committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive’s walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos. Notice: To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact talentacquisition@arrivelogistics.com for verification.