Auto-apply to these data science jobs

Job Title Environmental Data Analyst Job Description Summary Job Description Principle Responsibilities Capture, review and validate client's environmental data for accuracy; produce resulting progress reports assessing progress against environmental performance targets Support queries for third-party review of documentation and data Lead client's response during external ISO 14001 EMS & ISO 14064 data verification audits Support Client's Environmental Team during internal and external ISO 14001 site audits Develop management status reports for ad-hoc initiatives Elicit, document, and communicate sustainability requirements, processes and procedures in accordance with established standards Create marketing and communications materials for internal and external publication Compile program dashboard and related materials for ad-hoc senior management, regional meetings on strategic topics Help coordinate, plan, and execute events, workshops, or trainings for sites or end-users Complete required monthly, quarterly, and annual reporting Manage client's regional waste program, including monthly waste metrics reporting, supporting onsite waste program assessments of client's facilities, and ad hoc offsite audits of client's waste vendors' facilities Participate in client meetings and workshops and maintain required documentation Serve as data lead for a number of ongoing projects including expansion of regional Environmental Management System, RE 100 renewable energy execution strategy, and NYC Carbon Challenge Gather, review, and track environmental data from Corporate Real Estate construction projects with CRE project managers Research new and innovative technologies to assist in achieving GHG emission reduction goals Represent C&W with professionalism and cooperate with other C&W personnel to achieve goals and objectives as to quality, service, cost and profit Strive constantly to improve skill and work knowledge; keep up to date in the field of specialization Adhere to corporate, building, and client policies and procedures Support the onboarding of new buildings into the client's environmental management portfolio Be an active participant in the broader Cushman & Wakefield sustainability professionals network and represent your colleagues on global sustainability team meetings Minimum Qualifications 4-year Bachelor's degree or international equivalent Education or experience within the real estate or sustainability industry 3-5 years professional experience Flexibility to travel to offices throughout the tri-state area Required Skills The position will require a demonstrated passion for environmental sustainability and a keen eye for detail Ability to interact with client and client employees, senior management, staff, and suppliers as a professional at all times Maintain high qualitative and quantitative standards of work performance Excels in a team environment, liaising across divisions with minimal supervision Easily develops relationships, working effectively with technical and business audiences at all levels Proven analytical and problem solving capabilities Fluent in Microsoft Excel, PowerPoint and Word applications Familiarity with database programs, comfortable mining and analyzing large amounts of data from multiple sources Ability to independently plan and manage deliverables for multiple concurrent projects with competing deadlines Excellent organizational skills with keen attention to detail Proactive, high energy and dedicated work ethic Strong written and presentation skills Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements. The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate's experience and qualifications. The company will not pay less than minimum wage for this role. The compensation for the position is: $ 66,300.00 - $78,000.00 Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated. In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or email HRServices@cushwake.com. Please refer to the job title and job location when you contact us. INCO: "Cushman & Wakefield"

We know a lot about investing and are certain there's no better investment a company can make than in its employees. People don't just drive a company; they are the company. So when people work at their best, companies do too. Morgan Stanley at Work, a division of Morgan Stanley Wealth Management, provides workplace financial solutions that build employee financial confidence, foster loyalty and help our corporate clients attract and retain top talent. Our end-to-end offering spans Equity, Financial Wellness, Non-Qualified Deferred Compensation and Retirement Solutions. Plus, we provide all employees with Financial Empowerment, so they have the knowledge, tools and support needed to make the most of their workplace financial benefits. What you'll be part of - our Morgan Stanley at Work culture: At Morgan Stanley at Work, we walk the talk. We have created a place for our employees to learn, achieve and grow - a place for people to build a career where you can thrive both personally and professionally. We are passionate about exceeding our clients' expectations and helping them succeed. We are fearless in taking on new challenges that deliver exceptional results. We believe amazing things can happen when we work together in an environment where everybody has a true sense of belonging and their ideas are heard. We value differences and are committed to providing a work environment where our people can do their best work. We look for people who are problem solvers, empathetic listeners, team players and inclusive leaders. We are committed to your growth and development, and your entire employee experience. We recognize that our people and culture are the keys to our success. We invite you to explore how you can be an integral part of our team. Within Morgan Stanley at Work Shareworks, Equity Edge Online (EEO), and Global Intelligence are key offerings within our Equity Solutions pillar. These offerings combine cutting-edge technology, outstanding client service, streamlined administration, and global plan management. Data Architect Migration Specialist role: The Data Architect Migration Specialist will play a pivotal role in the Global Onboarding Core Platform Transformation organization. The role is responsible for managing end-to-end projects for corporate clients and internal partners, focusing on operational support across equity administration platforms (EEO and Shareworks). Reporting to a Data Solutions Manager, the Data Architect Migration Specialist ensures efficient and accurate execution of various projects (dependent on team services): integration, data conversion, process management, administration, or execution of assigned clients' equity compensation programs. The role will require rapid understanding of each client's equity compensation plans to provide best-in-class services while on assignment. The ideal candidate is technically proficient and possesses strong project management, advanced data analytical and communication skills. They excel in building relationships with clients, colleagues, and stakeholders, driving successful project outcomes and contributing to process enhancement and product development. With a focus on adaptability and continuous improvement, the Migration Specialist thrives in a fast-paced environment and takes ownership of their responsibilities to ensure client success and satisfaction. Stock Plan Data Migration Specialist Responsibilities The successful candidate should have a combination of strategic and tactical problem-solving skills, be a self-starter and have strong technical experience with a proven track record of achieving success in a fast-paced, results-driven organization. Assist in the execution of data conversion projects both in the public and private sectors to convert from a competitor's platform into Morgan Stanley's equity administration platforms Lead assigned projects, ensuring timely completion of project deliverables Build and maintain strong client relationships through positive interactions during project engagements Collaborate closely with various stakeholders, including Sales and Marketing, Relationship Management, Client Services, Operations, Product, and Technology, to ensure client satisfaction on all projects Partner with internal project leads and product managers to develop solutions that improve efficiency, reduce time spent on repetitive tasks, and address complex client issues Perform data analysis and complex reconciliations of data throughout the project lifecycle Qualifications Bachelor's degree required in business/finance or technology, computer science or related computer science experience is preferred 3+ years of experience in data management within business consulting or equity compensation administration Strong preference for expertise and hands-on experience with advanced ETL technologies, Robotics Process Automation, UiPath, Generative AI, Python, Dataiku or other database management software Ability to proactively identify potential risks and issues, and develop effective solutions Strong teamwork skills with the ability to problem-solve, learn quickly, share knowledge, multitask and adapt to constantly changing priorities Working knowledge of equity-related accounting, tax, and legal concepts, both in the US and globally, is strongly preferred Proven success in developing innovative solutions to complex client needs Level 1 CEP certification is preferred but not required Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet). WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Job Description Job Description: Senior Consultant, Business Consulting - Data & Analytics The vision of the Data &Analytics team is to help our clients become Data/Analytics/Insights driven. Senior Consultant is a key member of the team expected to help deliver the vision. We are seeking experienced Management Consultants with a background in Data & Analytics to join us. Responsibilities: Lead discussions with clients to understand business challenges and design analytical solutions Elicit high-level business requirements, use case and detailed functional specs. Create deliverables such as requirement traceability matrices, workflow diagrams, and data dictionary. Collect, clean and structure data from multiple sources (Databases, APIs, Spreadsheets, Cloud platforms like Databricks, Snowflake etc) Design approaches to enhance data quality. Conduct exploratory and statistical analysis to identify trends, anomalies and opportunities Develop KPIs, dashboards and visualization reports that communicate findings clearly Write SQL queries, Python scripts or equivalent for data wrangling and analysis Create business case and transformation roadmaps. Design data governance models. Present insights and recommendations to business and technical stakeholders in a clear and compelling way Lead internal and client teams on Data Management. Support sales pursuits and firm building efforts. Mentor staff and manage project finances. Required Qualifications: Minimum of bachelor's degree or higher in marketing, economics, mathematics, or related technical specialty. 5+ years of relevant work experience with 3 years of experience in Management Consulting. Ability to travel 4-5 days a week to multiple local, state and national client locations. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Qualifications: Exposure to one or more domains such as: Banking, Finance, Insurance, Consumer Goods, Retail, Manufacturing Industries. Strong proficiency in SQL and experience with relational databases. Advanced knowledge of Python or equivalent for data analysis, modelling and visualization Process experience in the Supply Chain, Marketing, eCommerce, Digital Marketing, Merchandizing. Exposure to using AI/ML/Automation creatively for client challenges. Experience with Agile, Scrum methodologies, Data Bricks and Snowflake. Experience with Visual Analytics tools like Tableau, PowerBI, and Qlik suite. Understanding of platform modernization, business analytics and program/ strategy consulting Sound knowledge and application skills in Business Analytics [Data Engineering, ETL, Data Modelling, Data Science] / Data Management/ Platform Modernization [MS Azure, AWS] and/or Program Management and Strategy consulting. Strong interpersonal, leadership and communication skills This job description may not cover or contain a comprehensive listing of all activities, duties and responsibilities that are required of the employee. Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits: - Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Summary GEICO is seeking an Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and core data infrastructure. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement. Position Description Our Engineer II is a key member of the engineering staff working across the organization to innovate and bring the best open-source data infrastructure and practices into Geico as we embark on a greenfield project to implement a core Data Lakehouse for all Geico's core data use-cases across each of the company's business verticals. Position Responsibilities As an Engineer II, you will: Scope, design, and build scalable, resilient Data Lakehouse components Lead architecture sessions and reviews with peers and leadership Accountable for the quality, usability, and performance of the solutions Spearhead new software evaluations and innovate with new tooling Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning Collaborate with customers, team members, and other engineering teams to solve our toughest problems Consistently share best practices and improve processes within and across teams Share your passion for staying on top of the latest open-source projects, experimenting with, and learning recent technologies, participating in internal and external technology communities, and mentoring other members of the engineering community Qualifications Exemplary ability to design and develop, perform experiments Experience developing new and enhancing existing open-source based Data Lakehouse platform components Experience cultivating relationships with and contributing to open-source software projects Experience with: Apache Superset for data visualization and business intelligence Jupyter Notebook for data science and machine learning development Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent) Expertise in developing large-scale distributed systems that are scalable, resilient, and highly available, with a focus on: Designing and implementing systems that can handle high traffic and large data volumes Ensuring system reliability, uptime, and performance in complex environments Expertise in container technology like Docker and Kubernetes platform development Experience with continuous delivery and infrastructure as code In-depth knowledge of DevOps concepts and cloud architecture Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent Desirable: Experience with ML Ops pipeline development and management, including Designing and implementing data pipelines for machine learning workflowsEnsuring data quality, integrity, and security in ML pipelines Monitoring and optimizing ML pipeline performance and efficiency Experience working with Large Language Models (LLM) to create Agentic systems, including: Integrating LLMs with data lakehouse platforms and other systems Developing and deploying Agentic models and workflows Ensuring model performance, reliability, and security in production environment Ability to excel in a fast-paced, startup-like environment Experience Preferred qualifications and experience: o bachelor's degree in computer science, Information Systems, or equivalent education or work experience o 2+ years of non-internship professional software development experience o 2+ years of experience with architecture and design o 2+ years of experience with AWS, GCP, Azure, or another cloud service o 2+ years of experience in open-source frameworks Education Bachelor's degree in computer science, Information Systems, Mathematics or equivalent education or work experience Annual Salary $80,000.00 - $215,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Job Description DPR Construction is seeking a strategic and detail-oriented Data Analyst to lead the development and management of our company-wide dashboards. This role will primarily focus on aggregating and summarizing key metrics from across the organization, with a special emphasis on dashboards that support our Enterprise Goals & Objectives and other strategic initiatives. This role will partner with our data analytics and engineering team members to identify the key metrics we want to move into our company-wide dashboards and assist in building the framework and consumption layers for ensuring our company-wide dashboards are aligned with more detailed workgroup specific dashboards. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery Develop and maintain relationships with business stakeholders across all functional groups of DPR. Develop a deep understanding of their processes, tools, and goals, and be able to speak to how our developed KPIs speak to those goals. Create, maintain and communicate detailed schedules for this wide-ranging KPI development. Coordinate technical teams performing development of KPIs and communicate progress to business teams. Create, maintain and execute quality control and practices to ensure that we deliver accurate information to end-users Visualization / Storytelling: Work with stakeholders to understand and align on business requirements Create and maintain dashboards and Apps, as required Deliver actionable insights to improve business processes and drive strategic conversations Track and monitor usage metrics to understand and measure adoption/impact of analytics Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: Identify root source of data integrity issues (report, DFL, data warehouse, source system) Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: Create complex data models in visualization tool, and make transformations as needed Query Data Warehouse using SQL to quickly analyze datasets Clean data, as required Identify potential new datasets to add to the Data Warehouse Identify potential new integrations between source systems and the Data Warehouse Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation Work with Data Engineering in the development and maintenance of the data catalog Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance Follow, implement, and enhance data security and governance guidelines Create, maintain, and implement security for DFLs Review requests and grant access to DFLs, Reports, and Apps, as needed Create and maintain RLS in visualization tool, where needed Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management Complete impact analysis on reports when changes are made to source systems or tables upstream Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization Identify opportunities for data collaboration and integration between disciplines Coordinate alignment, as applicable, across other T&I groups Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing Participate in Focus Group meetings to align support functions Training / Data Literacy Train end-users on how to use and interpret information/insights on deployed dashboards/reports Train end-users on how to build reports themselves Provide "on-the-job' training to business stakeholders when needed Work with Data Engineering and others to develop and maintain tool for Self Service Analytics Increase data literacy of business stakeholders through targeted trainings and conversations Identify opportunities to improve data literacy throughout DPR Data SME Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users Ensure source of truth system(s) are identified and operational Qualifications Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus five (5) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus seven (7) years of experience. Proven track record of managing large-scale analytics projects spanning multiple functional groups. Experience guiding business partners (who may have limited experience with technology and data) through the process of KPI development. Construction Experience including knowledge of industry trends, terminology, and typical processes is strongly preferred. Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. Analytic skills, including data mining, evaluation, analysis, and visualization. Ability to create semantic data models and understand dependencies between source systems. Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. Experience with consuming APIs from the client side including REST and GraphQL. Experience with SQL scripting required. Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. Demonstrated success in building trusted relationships with internal/external clients and customers. A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

Job Description Summary As a Staff Data Scientist, you will work in teams addressing statistical, machine learning, and artificial intelligence problems in a commercial technology and consultancy development environment. You will be part of a data science or cross-disciplinary team driving AI business solutions involving large, complex data sets. Potential application areas include time series forecasting, machine learning regression and classification, root cause analysis (RCA), simulation and optimization, large language models, and computer vision. The ideal candidate will be responsible for developing and deploying machine learning models in production environments. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with data engineers, analysts, and other stakeholders. Job Description Roles and Responsibilities: Design, develop, and deploy machine learning models and algorithms Understand business problems and identify opportunities to implement data science solutions. Develop, verify, and validate analytics to address customer needs and opportunities. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM). Ensure efficient data retrieval and augmentation processes to support LLM training and inference. Utilize semantic and ontology technologies to enhance data integration and retrieval. Ensure data is semantically enriched to support advanced analytics and machine learning models. Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing, data analytics, and model productionization Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Communicate methods, findings, and hypotheses with stakeholders. Minimum Qualifications: Bachelor's degree from accredited university or college with minimum of 3 years of professional experience OR an associate's degree with minimum of 5 years of professional experience 3 years of proficiency in Python (mandatory). 2 years' experience with machine learning frameworks and deploying models into production environments Note: Military experience is equivalent to professional experience Eligibility Requirement: Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job. Desired Characteristics: Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services. Experience with handling unstructured data, including images, videos, and text. Understanding of computer vision techniques and tools Ability to work in a fast-paced, dynamic environment. Experience with data preprocessing and augmentation tools. Demonstrated expertise in critical thinking and problem-solving methods Familiarity with cloud platforms (e.g. AWS, Azure, Google Cloud, Databricks) and their machine learning services Demonstrated skill in defining and delivering customer value. Demonstrated expertise working in team settings in various roles Demonstrated expertise in presentation and communications skills. Experience with deep learning and neural networks. Knowledge of data governance and compliance standards. Note: To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used. This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager. This role requires access to U.S. export-controlled information. Therefore, for applicants who are not U.S. lawful permanent residents, U.S. Citizens, or have been granted asylee or refugee status (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), employment will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace 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 Aerospace 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

Job Description About Horizon Media Horizon Media, founded in 1989 by Bill Koenigsberg, is recognized as one of the most innovative marketing and advertising firms. We are headquartered in New York City, with offices in Los Angeles and Toronto. A leader in driving business solutions for marketers, Horizon is known for its highly personal approach to client service. Renowned for its incredible culture, Horizon is consistently named to prestigious annual "Best Places to Work" lists published by Fortune, AdAge, Crain's New York Business, and Los Angeles Business Journal. Together we are building a place of belonging. At Horizon, we understand the value that different perspectives bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe, and empowered. We value YOU and believe that your authentic voice and unique perspective make our culture and solutions stronger. Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them, and give them every opportunity to grow. Who You Are You are a collaborative, detail-oriented leader with a deep understanding of data movement, integrations, and compliance across marketing technology ecosystems. You excel at building cross-functional partnerships, relationships with clients and partners and have a knack for translating complex business needs into actionable technical requirements and understand the complex scenarios clients navigate to make their data work for them. You don't just "move the data"-you own the data pipelines, ensuring data delivers clear business value, is prioritized appropriately, and is designed for long-term scalability. You are a collaborative, detail-oriented leader with a deep understanding of first-party and third-party data onboarding, CRM integrations, pixel and tag management (PIXEL/Connect), and Marketing Partner Platforms (MPP).You seek to understand the "why" behind any request and drive cohesion from vision to delivery. You excel at standardizing data onboarding and transformation processes and advocate for data integrity by socializing best practices. What You'll Do First Party and Third Party Onboarding & Integration- 25% Lead the standardization of first-party data and third-party data onboarding processes across clients and platforms, ensuring consistency, compliance, and scalability. Oversee CRM, PIXEL/Connect, and MPP integrations, establishing best practices and technical requirements. Maintaining onboarding and transformation standards documentation. Collaborate with internal and external stakeholders to align onboarding processes with business goals and technical needs. Monitor KPIs for outbound data flows and report on performance, adoption, and ROI. Data Transformation & Hygiene- 25% Develop and enforce standardized transformation and hygiene protocols for both first-party and third-party data. Ensure all licensed data is transformed and maintained to accurately feed taxonomies and downstream systems. Partner with Marketing Science to maintain standard documentation for data onboarding, data transformations, hygiene and classifications. Partner with Data Maintenance Director to ensure data is onboarded in accordance with best practices and appropriate monitoring is in place when new data feeds are created. Proof of Concept Leadership- 20% Design and execute proof of concept (POC) onboarding data tests to validate new approaches and technologies. Accelerate the speed of Proof of Concepts (POCs) through standardization and automation. Analyze results and present recommendations for scaling successful POCs into production processes. Cross-Functional Partnership & Stakeholder Management- 30% Serve as Horizon's Subject Matter Expert for data onboarding and data transformation requirements, bridging business needs with technical execution. Build strong relationships with internal business units, product owners, and external partners to align roadmaps and expectations. Foster growth of junior team members and promote strong relationships throughout the organization Facilitate workshops, requirements gathering, and solution design sessions for new integrations or enhancements. Job Requirements BS/BA degree in Marketing, Business, Data/Computer Science, or a related field-or equivalent experience. 7+ years of experience in data operations, product management, or marketing technology, ideally in an agency or media environment. Strong understanding of data integration concepts, APIs, and audience distribution technologies (e.g., CDPs, DMPs, Clean Rooms). Experience managing vendor/partner relationships and cross-functional projects. Excellent problem-solving skills with the ability to prioritize and manage multiple initiatives simultaneously. Proven experience documenting business use cases, conducting ROI analysis, and prioritizing based on impact and scalability. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Proficiency with tools such as Snowflake, AWS, Tableau, and Jira; experience with data privacy compliance a plus. Experience with ETL tools such as FiveTran, Apache Airflow, or Stitch. Why This Role Rocks Be the business-technical translator who ensures every data flow delivers measurable value. Drive the prioritization of integrations that matter most to our clients and our business. Influence the roadmap for Horizon's data ecosystem. Collaborate across teams and with top-tier clients in a culture that values curiosity, transparency, and impact. Be a key contributor to the growth and success of the blu platform. #LI-KG1 #LI-HYBRID #HM Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Salary Range $160,000.00 - $190,000.00 A successful applicant's actual base salary may vary based on factors such as individual's skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.

P-59 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark: Develop the de facto open source standard framework for big data. Data Plane Storage: Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines. Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust. What we look for: BS (or higher) in Computer Science, related technical field or equivalent practical experience. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. 5+ years of production level experience in either Java, Scala or C++. Strong foundation in algorithms and data structures and their real-world use cases. Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Essential Duties and Responsibilities Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Assist with the establishment of data risk policies, standards, guidelines and best practices for the Bank regarding design and structure of control frameworks. Develop data testing procedures and templates for various Regulatory Reports. Analyze data within assigned enterprise data entities compared to source information to assess the accuracy and correctness of data. Provide subject matter expertise in the planning and execution of data risk management activities such as data risk prioritization, data quality and central data risk management. Subject matter expert on accounting and regulatory reporting requirements, and reporting processes for assigned area of responsibility. Make informed recommendations for remediation to the Data Assessment Director, as appropriate. Identify, compare and escalate identified data quality issues. Utilize tools to analyze data according to defined business rules and procedures. Document and publish data quality errors. Communicate data quality non-compliance to data stewards and business users. Update reports, track and publish data quality assessments. Research and review regulatory guidance and apply to framework. Represent the Data Assessment Director at enterprise-level projects relating to data governance or quality assurance, as appropriate. Complete second level review work of loan level data assessments for other team members. Instruct, direct and mentor other members of the team. Qualifications Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree in business administration, Information Systems or related field, or equivalent education and related training. Five to eight years of banking experience with an emphasis on second line of defense efforts. Basic knowledge of balance sheet, income statement and cash flow information. Ability to understand business rules and data lineage, work with varying data formats, and develop metrics to monitor data quality. Previous experience in credit decisioning, managing credit risks, or portfolio management. Ability to work independently or as a member of a team. Ability to lead and direct team members in completion of complex projects. Excellent verbal and written communication skills. Strong analytical skills. Demonstrated proficiency in basic computer applications, such as Microsoft Office software products. Knowledge of relevant laws and regulations affecting data quality and governance. Ability to travel, occasionally overnight. Preferred Qualifications: Four years of commercial lending experience. Experience in Truist lending functions. Knowledge of Truist's credit culture. Broad knowledge of underwriting, documentation and servicing across all types of lending activities including commercial loans, small commercial loans, retail loans and other types of specialized lending (e.g. mortgages, leasing), in addition to similar knowledge of non-lending functions. Proficiency in Truist standard software packages. Knowledge of data tools and platforms used for managing, storing, querying, testing, loading, and transformation of data (SAS, Informatica, Oracle, Teradata, Alteryx, Tableau, SQL, etc.). Understanding of GAAP and SEC/Regulatory Reporting. CPA/RMA/FRM/CFA or equivalent advanced risk certification. Graduate Degree in Business, Information Systems or related field. General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is looking for a customer-obsessed and results-oriented Product Manager to support our Data Platform. This role will help drive product direction for our data platform, services, and tools, focusing on enabling data products and data mesh architecture. The ideal candidate will have a technical background in data platforms and experience delivering scalable solutions. Description As a Product Manager for the Data Platform, you will be responsible for supporting the product vision and execution for GEICO's data platform products. This role requires technical understanding of data platforms and modern data architectures, stakeholder management skills, and the ability to bridge technical solutions with business value. Key Responsibilities Support the development and execution of platform vision aligned with business goals and customer needs Help create and maintain a clear, prioritized roadmap that balances short-term delivery with long-term strategic objectives Support evangelizing the Data Platform across the organization and help drive stakeholder alignment Stay abreast of industry trends and competitive landscape (Snowflake, AWS, GCP, Azure, etc.) to inform platform strategy Support requirement gathering and product strategy for data platform services and tools Understand end-to-end data analytics and AI/ML operations workflows and how data platforms fit into the broader data ecosystem Support data governance initiatives and cross-team collaboration with other data teams Ensure platform adheres to regulatory, compliance, and data quality standards Partner with engineering on the development of tools and services that increase adoption of the Data Platform Help define product capabilities to improve platform accessibility, reliability, usability, security, and performance. Support customer roadshows and training on data platform capabilities Build instrumentation and observability into data platform tools and services to enable data-driven production decisions Work closely with engineering, design, and data teams to ensure seamless product delivery Partner with customer success, support, and engineering teams to create clear feedback loops Translate technical capabilities into business value and user benefits Support alignment across multiple stakeholders and teams in complex, ambiguous environments Qualifications Required Understanding of modern data architectures, query engines, and compute frameworks (Spark, Trino, Databricks, Presto, etc.) Experience with APIs, SDKs, or client integration layers for platforms Experience with working with vendor platforms, tools, and services as a product manager, incorporating them into the roadmap and product strategy Basic understanding of instrumentation, telemetry, and observability practices Experience in cloud data ecosystems (AWS, GCP, Azure) Proven analytical and problem-solving abilities with a data-driven approach to decision-making Experience working with Agile methodologies and tools (JIRA, Azure DevOps) Good communication, stakeholder management, and cross-functional collaboration skills Strong organizational skills with ability to manage product backlogs Preferred Previous experience as a software or data engineer is a plus Strong business acumen to prioritize features based on customer value and business impact Experience with data analytics tools (Jupyter Notebooks, Apache Superset, Tableau, Power BI, etc.) Experience with semantic models and layers Knowledge of data governance frameworks and compliance requirements Insurance industry experience Experience Minimum 5+ years of technical product management experience with data platforms, developer tools, distributed systems, or data infrastructure Track record of delivering successful products in fast-paced environments Experience supporting complex, multi-stakeholder initiatives Proven ability to work with technical teams and translate business requirements into technical product specifications Experience with customer research, user interviews, and data-driven decision making Education Bachelor's degree in computer science, engineering, management information systems, or related technical field required MBA/MS or equivalent experience preferred Annual Salary $88,150.00 - $157,850.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Data analyst Country: Poland To masz na bank: umowa o pracę (pierwsza na 12 miesięcy), praca hybrydowa częściowo w biurze w Warszawie, al. Jana Pawła II 17 (przy Rondzie ONZ), w Poznaniu ul. Kolorowa 10, będziesz częścią zespołu analityczek/analityków w segmencie SME - Tribe SME Customer & Digital, którzy projektują i generują kluczowe raporty, niezbędne do prowadzenia efektywnego biznesu. Będziesz również samodzielnie dostarczać rekomendacje i tym samym mieć swój udział w podejmowanych decyzjach związanych z ofertą i obsługą naszych klientów. Należymy do pierwszej trójki największych banków w Polsce i jesteśmy częścią międzynarodowej Grupy Santander. W naszej centrali łączymy kilkanaście jednostek biznesowych, w tym nasze zaplecze technologiczne. Choć jesteśmy zupełnie różni to mamy jeden cel - wszystko robimy na bank. Na co dzień pracujemy w metodyce agile - w chapterach i squadach. Mamy też możliwość integracji z innymi pracownikami np. dzięki ponad 20 Klubom Zainteresowań. Cenimy różnorodność wśród naszych pracowników. Wierzymy, że każdy, bez względu na indywidualne predyspozycje, może wnieść niepowtarzalną perspektywę do naszej firmy. Aplikuj, jeśli: znasz języki zapytań do baz danych (SQL, Python) i potrafisz optymalizować je pod kątem wydajności, również przy dużych wolumenach danych, swobodnie posługujesz się narzędziami takimi jak Power BI, MS Excel, PowerPoint, potrafisz przekładać wymagania biznesowe na język danych oraz wyciągać trafne wnioski z analiz, wyróżniasz się analitycznym myśleniem, dostrzegasz zależności przyczynowo-skutkowe i potrafisz znajdować nieoczywiste odpowiedzi, masz doświadczenie w pracy w branży finansowej, dobrze odnajdujesz się w pracy zespołowej, jesteś otwarty/-a na współpracę i chętnie dzielisz się wiedzą, cechuje Cię gotowość do podejmowania nowych wyzwań i eksplorowania nieznanych obszarów biznesowych, posiadasz wykształcenie wyższe (preferowane kierunki ścisłe), masz doświadczenie w pracy z chmurowymi platformami danych, szczególnie Azure Databricks (dodatkowy atut). Twoje zadania w tej roli: przygotowanie analiz biznesowych pozwalających na identyfikację potencjałów wzrostu sprzedaży i dochodowości produktów segmentu klienta firmowego, wsparcie analityczne dla zmian w ofercie produktowej i procesach sprzedażowych, udział w inicjatywach biznesowych mających na celu realizację celów sprzedażowych i finansowych pionu, przygotowywanie monitoringu efektów biznesowych i jakościowych inicjatyw biznesowych, przygotowywanie jednorazowych podsumowań i wniosków, jak również cyklicznych raportów, rozwijanie kompetencji w ramach współpracy z innymi analitykami, działającymi w różnych zespołach biznesowych - dzielenie się wiedzą i wspólne podnoszenie kwalifikacji. Na bank zadbamy dla Ciebie o: umowę o pracę (pierwszą na 12 miesięcy), pracę w trybie hybrydowym w (lokalizacja na początku oferty), prywatną opiekę medyczną Medicover (z możliwością wykupienia pakietu stomatologicznego), system kafeteryjny z punktami do wymiany na aktywności, np. wypoczynkowe, kulturalne, gastronomiczne lub dofinansowanie do przedszkola/żłobka/klubu dziecięcego, kartę Multisport, ofertę produktową banku oraz pożyczki na pracowniczych warunkach, aktywności wellbeingowe, np. Kluby Zainteresowań, webinary, ćwiczenia, podcasty; inicjatywy w biurach np. mammobus, profilaktyczne badanie wzroku, warsztaty z samoobrony, wyprawkę dla dzieci, benefity dla osób z niepełnosprawnościami: dodatek finansowy na cele prozdrowotne, dodatkowe 2 dni urlopu dla pracowników z lekkim stopniem niepełnosprawności, całkowita praca zdalna, jeśli charakter pracy na to pozwala, platformę ze szkoleniami zewnętrznymi i wewnętrznymi - np. programowanie czy analiza danych lub komunikacja, podejście strategiczne, negocjacje i inne, program poleceń pracowniczych - nagrodę pieniężną za polecenie osoby do pracy w banku. Jak wygląda wdrożenie i rozwój? Na bank nie rzucimy Cię na głęboką wodę. Zaplanowaliśmy wdrożenie, które obejmować będzie wprowadzenie do organizacji, Twojej jednostki biznesowej i zadań. Przez początkowy okres pracy będzie towarzyszył Ci Buddy, który pokaże Ci naszą kulturę organizacyjną i odpowie na wszystkie pytania. Dołącz do nas w kilku krokach. Wyślij CV do naszej analizy, a my podejmiemy decyzję czy zaprosimy Cię do kolejnego etapu. Spotkaj się (online) z rekruterem(-ką) i managerem(-ką). Wykonaj zadanie merytoryczne/test (w zależności od stanowiska). Pracuj z nami w naszym zespole! Po każdym z etapów rekrutacji otrzymasz od nas informację zwrotną, dostosowaną do jego poziomu zaawansowania. Po spotkaniach zaś wrócimy do Ciebie z kompleksowym podsumowaniem mailowym lub telefonicznym. Stosujemy najwyższe standardy zarządzania ryzykiem, dbamy o bezpieczeństwo naszych klientów i świadczonych usług.

Company Overview Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track-while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors - such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments - Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022," "Forbes Next Billion-Dollar Startups 2024," and Y Combinator's #1 GovTech startup. About the Role At Promise we rely on data for every decision we make - from product and engineering to operations, finance, and everything in between. As our newest Data Engineer, you'll build and scale the systems that power data-driven decisions across the company. You'll work directly with a variety of stakeholders in the business - such as product, engineering, customer success, and finance - to design reliable and understandable data architectures, ship resilient pipelines, and create the foundational data products that drive our strategy and product. On Any Given Day, You Will: Own data architecture end-to-end. Every new project we build is slightly different - how do we capture, model, and serve critical business data so it's both flexible and straightforward. Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and ensure every teammate has access to the data they need, where they need it. Enforce data quality at scale. Build tests, monitoring, and reconciliation systems that make datasets observable and anomalies actionable. Design and maintain scalable data models, decision tools, and analytics infrastructure to empower self-serve analytics and derive insight. Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, comprehensible data through semantic layers, APIs, and real-time query systems. What Will Help You Succeed The data team at Promise is a team of builders. We identify problems both internal and external, then implement end-to-end data solutions. Have 5+ years of experience as a data or software engineer building data warehouses, pipelines, and distributed data systems. Can draw on a variety of modeling techniques to drive sustainable data solutions. Have deep hands-on expertise with a modern data stack, from ingestion to transformation (dbt, etc.), orchestration (Airflow, etc.), observability, and BI (Looker, Metabase, tc.). Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, security and permissioning, and data governance. Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows. Enjoy partnering across disciplines-engineering, product, analytics-to translate messy business requirements into elegant data systems. Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work. Who Thrives at Promise You'll love it here if: You are energized by big, complex challenges and the opportunity to solve them. You want your work to have a real, measurable impact on people's lives. You take ownership and run toward problems, not away from them. You value clear, candid, and constructive communication. Promise is not for you if: You prefer hierarchy and rigid structures. We operate with freedom and responsibility. You are uncomfortable with change. We move fast, adapt often, and expect agility. You want a typical corporate culture. We are mission-driven, ambitious, and direct. You believe efficiency means "doing less." We believe efficiency means doing better. How We Support Our People 100% paid health coverage Generous PTO and sick leave Lunch, snacks, and coffee provided Company retreats Opportunities to travel and see the impact of your work Hybrid work: we deeply value in-person collaboration and are in-office at least 3 days a week, but are flexible on working from home Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US.

JLL empowers you to shape a brighter way. Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Location: Palisades NY or NY Metro Responsible for carrying out the following duties specific to your position: Have strong fluency with the commissioning processes and deliverables covered in ASHRAE commissioning requirements and guidelines. Expertise in electrical and/or mechanical equipment/systems installation (means & methods), system startup and pre-functional inspections, acceptance testing and associated commissioning activities. Work directly with General Contractors, sub-contractors, inspectors, AHJs, Engineer of Record, and others involved with the project execution for small, medium and large critical facility construction and commissioning projects. Monitor, review, and execute all facets of Commissioning related projects by providing exceptional technical and project management services. In addition, the candidate will be expected to demonstrate strong management and technical functions throughout the design, pre-construction, construction, and post-construction phases of projects. Liaise with team members, outside consultants and contractors to lead cross functional teams on data center or mission critical commissioning projects. Protect JLL's contractual position and ensure our work meets contracted requirements. Develop or manage the development of Commissioning Plans and Commissioning Specifications. Develop, publish and manage the project commissioning plan from design phase through project completion. Manage project commissioning activities, including: Develop project proposals in response to client RFPs Identify required team makeup for the project(s) Develop and manage project budgets and financials Manage the development, review and approval of assigned L1-L5 commissioning test scripts and procedures Act as main point of contact with client throughout project duration Provide day-to-day directions to assigned team members Act as JLL point of escalation throughout project duration Manage and perform Commissioning Design Drawing, Specification and Submittal Reviews. Schedule, lead and document project commissioning meetings. Possess detailed understanding of how to develop and execute seasonal/performance tests. Write or manage development of detailed standard operating procedures (SOPs) and Methods-of-Procedures (MOPs). Develop and compile project documentation into site/project specific Systems Manuals. Strong proficiency in use of QA/QC and Cx software applications such as BIM360, CxAlloy, Facility Grid, and other related QA/QC and Cx applications. Ability to develop/review/evaluate vendor training programs for installed equipment and systems. Lead all of the project documentation requirements within scope of services for a given project. Accountable for the preparation, review, and issuance of same, and though these tasks may be delegated, there may/will be the need to personally prepare them to meet the required timelines. Lead team members in the performance of, and where necessary, self perform, front to back, all the field activity components. This includes scheduling and coordinating JLL and project team members accordingly, ensuring our requirements are fulfilled by the contractor and relevant sub-trades, and maximizing efficiency/productivity of our staff. Additional Expectations Willingness to travel overnight up to 50% to client sites across the USA and Canada. Travel durations typically do not exceed two week durations. Ideally candidate is home based out of our Palisades, NY office Qualifications A minimum of 7 years of relevant mechanical or electrical engineering and/or field-testing experience with minimum of 5 years in providing building commissioning and/or construction QA/QC field services for data centers An ABET accredited engineering or technology degree is preferred or equivalent industry experience. Ideally candidate will possess a Commissioning Professional certification from a recognized industry authority Prof Eng/PE or PMP designation is considered an asset but not required Knowledge and experience in testing Utility transformers, UPS systems, Generators and associated automated paralleling switchgear, ATSs and STSs, Fuel Oil systems, PDUs, EPMS, BMS, Chillers, CRAHs, CRACs, AHUs. Strong data management skills Strong team leadership skills Excellent written and verbal communication skills Proficiency in MS Project, Word, and Excel Demonstrated ability to coordinate and organize multiple project schedule inputs/performance data into a master schedule platform and deliver project/program status reports as required. Demonstrated ability to analyze and report against contractor (and other third party) schedule updates Experience working in a consultancy or owner organization is an asset Estimated compensation for this position: 175,000.00 - 210,000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site -New York, NY, Orangeburg, NY If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here. Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

Insulet Corporation, maker of Omnipod, is the leader in tubeless insulin pumps. We are looking for software engineers to build our next generation of products. This is a fast paced environment working on challenging problems. Your work will impact the lives of people living with diabetes! As a Principal Software Engineer, Data Cloud, you will work with a team of skilled developers building services that support our medical devices, mobile applications, partner integrations, and data analytics. You will partner with teams, both local and abroad, to build world class medical device software. Responsibilities: Provide technical leadership in the development of Internet-of-Things, server-less, containerized deployments, and machine learning solutions. Work closely with business stakeholders, lead engineers, Cloud Ops, and Cloud Security to design high-quality, performant, scalable, secure Cloud solutions Evaluate new technologies and explore solution alternatives; develop prototypes Mentor and motivate software developers to build solutions using architecture and software best practices Learn and follow Insulet design assurance SOPs Provide timely support to team customers, internal and external Education and Experience: Minimum Requirements: Bachelor's Degree or above in Computer Science or Electrical and Computer Engineering 15+ years software development, architecture & design experience Preferred Skills and Competencies: Expert Java developer with extensive SpringBoot experience Experience with data sharing strategies and technologies, e.g. data warehousing, APIs, and streaming Experience with distributed data processing frameworks Apache Hadoop and/or Spark Understanding of multiple database types, e.g. relational, document, time-based, and best applications for each type Experience in architecting systems comprising one or more of the following: MongoDB RabbitMQ, Redis, AWS SQS, AWS DynamoDB, AWS Lambda, Cassandra, Kafka, Kinesis AWS Architect Associate Certification preferred Diagramming: UML certification preferred, plus experience in Sequence Diagrams, Deployment Diagrams, and State Diagrams Comfortable talking about technical things with business people and business things with technical people. Able to express complex concepts in plain language to reach broader audiences. Ability to craft a compelling message and tailor it for a given audience. Ability to mix deep technical expertise with simple, everyday language to deliver a story that is memorable and useful. Experience with FDA and HIPAA regulations a plus Physical Requirements (if applicable): Occasional business travel within US and globally Off-hour availability for critical issues NOTE: This position is eligible for hybrid working arrangements (requires on-site work from our Acton, MA or San Diego, CA office; may work remotely other days). #LI-Hybrid Additional Information: Compensation & Benefits: For U.S.-based positions only, the annual base salary range for this role is $174,225.00 - $261,337.50 This position may also be eligible for incentive compensation. We offer a comprehensive benefits package, including: Medical, dental, and vision insurance 401(k) with company match Paid time off (PTO) And additional employee wellness programs Application Details:This job posting will remain open until the position is filled.To apply, please visit the Insulet Careers site and submit your application online. Actual pay depends on skills, experience, and education. Insulet Corporation (NASDAQ: PODD), headquartered in Massachusetts, is an innovative medical device company dedicated to simplifying life for people with diabetes and other conditions through its Omnipod product platform. The Omnipod Insulin Management System provides a unique alternative to traditional insulin delivery methods. With its simple, wearable design, the tubeless disposable Pod provides up to three days of non-stop insulin delivery, without the need to see or handle a needle. Insulet's flagship innovation, the Omnipod 5 Automated Insulin Delivery System, integrates with a continuous glucose monitor to manage blood sugar with no multiple daily injections, zero fingersticks, and can be controlled by a compatible personal smartphone in the U.S. or by the Omnipod 5 Controller. Insulet also leverages the unique design of its Pod by tailoring its Omnipod technology platform for the delivery of non-insulin subcutaneous drugs across other therapeutic areas. For more information, please visit insulet.com and omnipod.com. We are looking for highly motivated, performance-driven individuals to be a part of our expanding team. We do this by hiring amazing people guided by shared values who exceed customer expectations. Our continued success depends on it! At Insulet Corporation all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. (Know Your Rights)

Position Summary: We are seeking a visionary Senior Data Architect to lead the development and execution of enterprise-wide data strategies. This role is pivotal in shaping our data ecosystem, leveraging Microsoft Fabric and Azure technologies to drive innovation, efficiency, and scalability across the organization. As a Senior Data Architect, you will design robust data models, architect seamless integrations, and mentor a team of talented data engineers. You will collaborate closely with stakeholders to understand complex business requirements and ensure data solutions align with strategic goals. Your expertise in data ingestion into Azure Fabric and Snowflake will be instrumental in building a modern, intelligent data platform. Key Responsibilities: Lead the creation and implementation of enterprise-wide data strategies. Architect scalable data models and integration frameworks using Microsoft Fabric. Design and oversee data ingestion pipelines from ERP and other enterprise applications into Azure Fabric. Setup Azure DevOps practices for CICD Collaborate with business stakeholders to understand data requirements and translate them into technical solutions. Mentor and guide data engineers in best practices, architecture standards, and career development. Ensure data architecture aligns with governance, security, and compliance standards. Partner with cross-functional teams to deliver high-impact data solutions. Evaluate emerging technologies and recommend innovations to enhance data capabilities. Document architectural decisions, data flows, and integration patterns. Support agile development practices and continuous improvement initiatives. Required Qualifications: Bachelor's or Master's degree in Computer Science, Information Systems, or related field.8+ years of experience in data architecture, data engineering, or enterprise data strategy. Deep expertise in Microsoft Fabric, Azure Data Services, and data modeling techniques. Proven experience designing and implementing data integrations across complex systems. Strong understanding of ERP systems and data ingestion methodologies. Proficiency in SQL, Python, and data pipeline orchestration tools. Excellent communication and stakeholder management skills. Ability to lead cross-functional teams and drive strategic initiatives. Preferred Qualifications: Experience in manufacturing, automotive, or related industries. Familiarity with data governance frameworks and metadata management. Familiarity with AWS ecosystem, Redshift etc. Knowledge of AI/ML data requirements and integration with analytical platforms. Certification in Azure Data Architecture or related technologies. The Ideal Candidate: You are passionate about building scalable, intelligent data ecosystems. You thrive in dynamic environments and enjoy solving complex data challenges. You lead with vision and inspire teams to deliver excellence. You are a strategic thinker with a hands-on approach to implementation. You continuously explore new technologies and drive innovation. You balance technical depth with business acumen. Physical Requirements: Regular and predictable attendance. Ability to work at a personal computer for extended periods of time. Ability to tolerate stress. EEO Statement: TI Fluid Systems is committed to equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, pregnancy status, disability, gender identity or Veteran status.

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: www.ses.ai What We Offer: A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team is seeking an exceptional Data & Evaluation Applied AI Scientist to serve as the domain expert ensuring that SES AI's complex battery-domain knowledge is correctly represented and validated within advanced AI systems, including LLM pipelines and multi-agent workflows. This role is vital for bridging the gap between raw battery materials knowledge and structured, AI-trainable data. As the Data & Model Quality Manager, you will focus on the integrity, structure, and fidelity of the knowledge embedded within our AI systems. Essential Duties and Responsibilities: Data Curation & Validation Translate deep Battery Materials Knowledge and next-generation battery concepts into correctly structured, high-quality, AI-trainable data. Lead processes for rigorous data validation, cleaning, and annotation to ensure consistency and correctness across all datasets. Oversee the creation and management of benchmark datasets and design domain-specific multimodal evaluations to test model accuracy. AI System Quality & Correctness Partner closely with AI architecture and engineering teams to ensure the correctness, reliability, and scientific reasoning quality of models, including LLM creation and multi-agent orchestration. Implement techniques, including those inspired by reinforcement learning (RLHF), to tune and validate model behavior against established scientific principles. Ensure that resulting models accurately understand molecular chemistry, materials data, and complex scientific reasoning in the battery domain. Strategy & Collaboration Drive the application of Battery Informatics principles across all data pipelines and modeling effots. Education and/or Experience: Education: Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field. Domain Expertise: Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats. Data Quality & Validation: Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets. AI Exposure: Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration. Applicable Background: Experience in roles such as Applied Scientist in Molecular/Materials AI or similar specialist roles focused on AI system quality in a scientific domain. Preferred Qualifications: Advanced AI Techniques: Experience with specialized techniques used for model tuning and alignment, such as Reinforcement Learning from Human Feedback (RLHF). Industry Precedent: Previous experience in specialized environments like battery focus labs, materials data science groups, or AI4Science teams with a focus on agent pipeline building and model tuning (e.g., drawing from precedents like DeepMind or Fair Labs). Evaluation Design: Direct experience designing and executing domain-specific multimodal evaluations for complex AI models. Computational Focus: Experience as a Computational battery AI specialist.

As a member of the Information Systems Department, the Senior Enterprise Applications and Data Architect is responsible for assessing, developing, and maintaining architecture components within the application portfolio while monitoring and governing its associated data within the environment. ESSENTIAL FUNCTIONS: Assist in the road mapping of the application and data portfolio and develop transition plans for moving from the current to future solutions within the environment. Plans, directs, and coordinates the standardization of data between various on premise and cloud platforms. Identify workflow process inefficiencies and implement changes to improve the productivity, efficiency, and/or cost-effectiveness of products or services. Review application architecture and data integration options and make recommendations to IS management for possible implementation with on premise or cloud hosted solutions. Serve as the Project Manager on new enterprise-wide applications or updates to existing applications, as assigned. Create project plans, track budgets, monitor deadlines, and project team performance. May serve as a project member on projects run by other team members or manager. Lead the testing of new software or new versions of software. Create and maintain test environments for each of the enterprise-wide applications, including server specifications and software installations, integrations, and customizations. Create and maintain testing scripts for all enterprise-wide applications; manage testing teams and procedures and analyze test results. Create and maintain production environments for enterprise-wide applications, including server and desktop specifications, client software packaging, server software installations, integrations, and customizations; submit Change Management forms for approval per IS procedure; schedule work with vendors; perform installations or upgrades, final testing and close monitoring after installation or upgrade. Resolve and respond to Help Desk tickets related to enterprise-wide applications, plus all other applications as needed; note trends; perform troubleshooting; perform problem management, including escalating to other teams and to vendors as needed. Keep current on patches and releases related to enterprise-wide applications; review release notes; track resolutions to existing software problems; recommend updates to install. Interface with vendors, industry peers, and professional associations to keep informed of existing and evolving industry standards and technologies. ADDITIONAL FUNCTIONS: Maintain a high level of knowledge in all enterprise-wide applications via release notes, documentation, vendor dialogue and training classes. Assist, teach and mentor Applications Analysts, Administrators, and Engineers on the team. Other related job duties, as assigned. QUALIFICATIONS (EXPERIENCE, KNOWLEDGE, SKILLS AND ABILITIES): Education: Bachelor's degree in computer science preferred. Experience: Minimum of ten years of extensive experience managing enterprise-wide applications and, preferably in a law firm. At least five years of related work experience with cloud data analytics platforms technologies. (Azure, AWS, Snowflake, etc.) Knowledge, Skills, & Abilities: Solid project management skills, operating as part of a team organizing, planning, and executing small to large-scale projects from the envisioning stage through implementation. Demonstrate a knowledge and understanding of enterprise system integrations, such as: Multi-cloud integrations Data movement (ETL/ELT) Data architecture (Snowflake, MS Fabric) Data Preparation (Azure Data Factory) Data Consumption and Visualization (PowerBI) Infrastructure, server, operating systems, and network communications knowledge. Process-minded with a strict regard to details. Strong ability to install and maintain any enterprise-wide application, including servers, customizations and integrations, load balancing, disaster recover procedures. Knowledge of SQL server and SQL scripting. Extensive Knowledge of various Microsoft technologies including Azure AD, Azure AD Application Proxy, Power Bi, OneDrive, and Azure Virtual Desktop remote app streaming. Certification in Microsoft 365 Enterprise preferred. WORK ENVIRONMENT & PHYSICAL DEMANDS: This job operates in a clerical, office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. PHYSICAL REQUIREMENTS Sedentary work: Exertion of physical strength to lift, carry, push, pull, or otherwise move objects up to 10 pounds. Work involves sitting most of the time. Walking and standing is often necessary in carrying out job duties. VISUAL ACUITY Worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. COMPENSATION & BENEFITS The salary range for this position applies to Atlantic City, Chicago, Denver, Las Vegas, Los Angeles, Minneapolis, Morristown, New York, Princeton, San Francisco, Seattle, and Washington, D.C. The salary range reflects a variety of factors that are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the range for a position. A reasonable estimate of the current range for this position is $140,000 to $175,000. For information on Fox Rothschild's compensation and benefits visit: Compensation & Benefits (foxrothschild.com) DISCLAIMER The above is intended to describe the general content of and requirements for the performance of this job. It is not a contract or employment agreement and is not to be construed as an exhaustive statement of all functions, responsibilities, or requirements the employee may be required to perform, and the employee may be required to perform additional duties. Additionally, management reserves the right to review and revise the job description at any time. Employment with the firm is at-will. Employees must be able to satisfactorily perform all of the essential functions of the position with or without a reasonable accommodation. If an accommodation request would cause an undue hardship or a safety concern, the individual may not be eligible for the position.

Job Description Infosys is seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Qualifications: Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of Information Technology experience At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning Strong proficiency in Python programming. Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI. Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions. Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc. Experience with data gathering, data quality, system architecture, coding best practices Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search). Experience with Lean / Agile development methodologies This position may require travel, will involve close co-ordination with offshore teams This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Data Scientist Qualifications: 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform. Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB). Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain. Strong understanding and experience of LLM fine-tuning, local deployment of open-source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django. Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation. Experience with perception (e.g. computer vision), time series data (e.g. text analysis) Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala Data visualization tools such as Tableau, Query languages such as SQL, Hive Good applied statistics skills, such as distributions, statistical testing, regression, etc. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. The estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $94000 to $164500 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits : Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI. We are looking for an experienced Snowflake Data Architect to design and implement scalable data models, optimize performance, and enable seamless data access for analytics and reporting. The ideal candidate will have a strong background in data modeling, data warehousing, and Snowflake platform architecture, with hands-on experience integrating with Power BI or other BI tools. Key Responsibilities Design and develop logical and physical data models in the Snowflake environment to support analytical and reporting needs. Build and maintain semantic data layers to ensure smooth integration with Power BI and other visualization tools. Lead the design and implementation of data warehousing solutions aligned with business requirements. Perform query and performance tuning to optimize Snowflake workloads and resource utilization. Define and enforce data security, access controls, and governance within the Snowflake platform. Collaborate with business and analytics teams to translate requirements into scalable data architecture solutions. Provide best practices and guidance for Snowflake development, data modeling, and data pipeline optimization.