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P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping work on top priorities for the company. The Data team also functions as an in-house, production "customer" that dog foods Databricks and drives the future direction of the products. The impact you will have: "Analysis at the speed of thought": Inform decision making by building robust data science tooling for business leaders, analysts, and other data scientists. "Extend capabilities of Databricks": Work closely with Data Platform and Product Engineering teams to integrate data science tooling with existing Data team offerings and the core product "Strategic business insights": Lead insight generation for top company priorities, and key Engineering initiatives (reliability, and efficiency). Gather changing requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical audiences. Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review. Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven. Represent Databricks at academic and industrial conferences & events. What we look for: 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems. Experience collaborating with and understanding the needs of Senior level stakeholders from a variety of functions including: Engineering, Product, and Technical Operations. Ability to deal with ambiguity in fast paced environments by clarifying requirements and having a keen sense of 0 to 1 solutions. Adept at operating both as an individual contributor and identifying how to orchestrate the build through peers and investments in scalable tooling. Strong coding skills in Python and SQL Experience with distributed data processing systems like Spark and familiarity with software engineering principles around testing, code reviews and deployment. M.S. or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we strive to build an environment where our associates are in the driver's seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology. Credit Risk Solutions (CRS) is part of Transunion's Global Solutions organization and is focused on making trust possible by delivering more accurate and comprehensive information on individuals, businesses, and assets, and their relationship with each other. Our mission is to support global commerce and consumer credit transactions by developing and providing actionable data and insights- along with customer-centric tools with which organizations can effectively discern risk and manage credit decisions for the broadest population possible. As Vice President, Alternative Credit Data Solutions, you will be responsible for product management of multiple alternative credit data product lines. In this global role, you will manage the teams that oversee product management for a diverse set of U.S. and international alternative data credit products. In the United States, you'll be responsible for one of TransUnion's most valuable and unique assets, the short-term lending data bureau. With significant investment, alternative data products globally are poised for growth and innovation. The VP will oversee both owned and third-party data sets and the products that they power for TransUnion customers across diverse markets including Financial Services, Insurance, Media, Telco, Tenant and Employment, and others. This work will include working closely with data acquisition, global technology, and overseeing the management of third-party data provider relationships. What You'll Bring: 15+ years of progressively more responsible experience in product or program management and P & L responsibility and ownership in either Financial Services or information services Deep familiarity with credit data, while a data science background is not required, the ability to interpret and guide complex data science work is essential to make product decisions and inform go-to-market strategies Strong collaborator with a problem-solving, design-thinking, customer-centric mind-set; highly curious Solid organizational, project management, problem solving and decision-making skills with a high degree of comfort managing multiple assignments and managing a global team Strong product management discipline with demonstrated success leading cross-functional product teams Exudes accountability and ownership and is passionate about the fundamental customer/consumer problem Driven by intellectual curiosity and independent thinking Experience working within matrixed organizations Very strong written and verbal communication skills Bachelor's degree required, Masters degree is a plus Impact You'll Make: The Vice President, Alternative Credit Data is responsible for many of TransUnion's global alternative data solutions in addition to the U.S. Short-Term Lending (STL) products. This role requires exceptional leadership, product, and program management capabilities. This role will act as a general manager and P&L owner for the STL business, our blended data solutions, and many other alternative data solutions globally. The VP will help evolve fundamental capabilities to manage and create market leading STL and alternative data products that will enable TransUnion's growth within this market segment and beyond. He/she will be the accountable product manager for the STL product lines and manage the product managers who manage the other alternative data products globally. Responsibilities include the entire product development lifecycle from idea generation and voice of customer to go-to-market and ongoing performance monitoring. They will also be responsible for managing strategic relationships with key industry partners that enable Credit Risk Solutions to fulfill its mission. Ensure commercial success of the portfolio of alternative data solutions by working in close partnership with Sales, Markets, Global Technology, Analytics, TransUnion's management team and other matrix partners Lead Product Management (with the help of 2 FTEs) for the short-term lending bureau while managing global product managers for other alternative data products and blended scores and attributes (popular models that use both traditional and alternative data) Create and manage the short-term lending platform strategy including backlog management, ongoing platform support, and platform sunset strategies Define the overall resource needs of the business across solutions, technology, compliance, analytics, and operations Develop, own, and execute multiple global product development roadmaps with the help of the dedicated product managers Manage existing products, including in-market alternative and blended attributes and scores, their efficacy and revenue plans Direct a team of Product Managers to realize your product vision Drive go-to-market activities, develop and own platform KPIs, customer feedback, and the competitive landscape to identify gaps, weaknesses and opportunities in any part of product and platform delivery Assess global opportunity to stand up similar solutions across international regions Work across all global markets to prioritize top use cases to address and determine new markets to enter, negotiate terms, and complete GTM, incentive alignment and sales training Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $193,500.00 - $406,500.00 *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: VP, Product Management Company: TransUnion LLC

Company Overview MARKETview gives colleges and universities an analytical advantage in achieving their goals. Using higher education's only aggregated, real-time student data set, we provide insights that are customized to address each partner's key objectives. We then follow that up with actionable steps they can use to make better, more informed enrollment, marketing, and financial aid decisions. Headquartered in Richmond, Virginia, the company serves a rapidly growing number of partners nationwide, helping them navigate the shifting landscape of higher education. Position Overview MARKETview Education Technology is seeking a skilled and motivated mid-level Data Engineer with 3-5 years of experience to help build and manage the data infrastructure that powers our insights platform. You'll play a key role in supporting complex data systems and ETL pipelines, working alongside a collaborative team of experienced professionals in a fast-growing, mission-driven environment. Individuals will support and maintain complex data storage systems and will be responsible for all aspects of development, performance tuning, and monitoring. Responsibilities: Develop and maintain robust ETL processes using Microsoft Azure tools (ADF, Data Lake, SQL) and Python. Support ingestion and normalization of large, complex data sets from higher education institutions. Collaborate with analytics and client service teams to ensure smooth client onboarding and data delivery. Monitor and optimize data workflows for performance, scalability, and reliability. Ensure data quality, integrity, and security using best-in-class BI tools and practices. Create and maintain technical documentation to support internal knowledge sharing and client communications. Contribute to the design and development of data models and data warehouse solutions. Minimum Requirements: Bachelor's degree in computer science, information technology or related field or a database certification 3-5 years of professional experience in data engineering or a related role. Hands-on experience with Microsoft Azure cloud services (ADF, Databricks, Function Apps, SQL) Proficiency in Python for data manipulation and ETL development. Solid understanding of structured and unstructured data storage. Strong troubleshooting and problem-solving skills. Impressive interpersonal and verbal communication skills Ability to multitask and prioritize tasks appropriately Preferred Qualifications: Exposure to working with large databases and developing data warehouses Exposure to designing and developing dimensional models Understanding of programmatic languages such as python for managing complex data Bonus Points: Microsoft developer certifications Why MARKETview Education Partners? The MARKETview team is united by a common passion to increase higher education access while improving the performance of colleges and universities and the educational outcomes for students and families. This is the spirit that drives every client partner relationship, as we serve the mission of each with an unwavering commitment to their goals and success. We are looking for equally passionate team members with a similar disposition and willingness to put the success of others - partners and teammates - before their own. If this is you, you'll fit right in. Job Type: Full-time, on-site Location: Richmond, VA Equal Opportunity: MARKETview Education Technology is an equal opportunity employer. We are committed to building a diverse and inclusive environment for our employees and do not discriminate on the basis of any status protected under federal, state, or local law. Qualified candidates must be legally authorized to work in the United States without employer sponsorship for a work visa, both currently and in the future.

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.

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

About Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We're energized by the potential to power more learners through multiple approaches and various tools. Let's Build the Future of Learning Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Team: The Data Science, Analytics team at Quizlet is at the forefront of product research. We leverage our rich data set to represent the voice of our students and teachers at scale. Our team's outcomes focus on delivering insights that drive product strategy using the data science toolkit. We serve in a pivotal strategic role, identifying and driving inquiry on behalf of leaders at the company. The team is supported by Machine Learning and Data Engineering teams that partner with data scientists to ensure we are building a data-driven culture. About the Role: As a Senior Data Scientist on the Core Product Analytics team, you'll partner with Product, Engineering, Design, and other Data Science teams to deliver insights that shape the way millions of students learn with Quizlet. You'll bring analytical rigor to every stage of product development-designing experiments, identifying opportunities, and translating data into actionable product recommendations. You'll work with a rich dataset spanning student learning behavior and engagement, helping to uncover insights that directly influence strategy and product design. This role is perfect for a data scientist who thrives at the intersection of experimentation, analytics, and storytelling. We're happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization. In this role, you will: Focus on driving business insights through data to guide product strategy and feature development Develop analytical frameworks and foundations that enable the business to act on key insights Collaborate within a product pod alongside partners in Product, Engineering, Design, and User Research Design and analyze A/B experiments from inception to measurement, interpretation, and recommendation Present insights and findings that influence product direction and company priorities Define key performance metrics and ensure consistent measurement across product initiatives What you bring to the table: 3+ years of experience in data science at a consumer internet company Experience running A/B tests and applying statistical techniques for modeling and predicting user behavior Experience partnering with product and engineering teams to drive strategy and execution through data Strong SQL skills and comfort working with large datasets Strong communication skills and the ability to visualize and present complex insights clearly Bonus points if you have: Experience with dbt or Airflow Expertise in Python for data analysis and modeling Degree in Math, Physics, Statistics, Economics, Computer Science, or another quantitative field Compensation, Benefits & Perks: Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $170,880 - $231,600, depending on location and experience, as well as company stock options Collaborate with your manager and team to create a healthy work-life balance 20 vacation days that we expect you to take! Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice) Employer-sponsored 401k plan with company match Access to LinkedIn Learning and other resources to support professional growth Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits 40 hours of annual paid time off to participate in volunteer programs of choice Why Join Quizlet? Massive reach: 60M+ users, 1B+ interactions per week Cutting-edge tech: Generative AI, adaptive learning, cognitive science Strong momentum: Top-tier investors, sustainable business, real traction Mission-first: Work that makes a difference in people's lives Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome! We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together." Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet. #LI-FT We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Presidio, Where Teamwork and Innovation Shape the Future At Presidio, we're at the forefront of a global technology revolution, transforming industries through cutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role The Director of Finance, Data Analytics, and Business Intelligence at Presidio will serve as the strategic leader overseeing a team of financial analysts responsible for developing next generation reporting, performance analysis, and business intelligence. This role requires a forward-thinking leader who can translate data insights into strategic action, align analytics initiatives with enterprise goals, and drive continuous improvement across the organization. The Director will partner closely with senior executives across Finance, Operations, and Business Units to ensure data integrity, scalability, and analytical excellence in support of Presidio's long-term growth strategy. Key Responsibilities Leadership & Strategy: Lead, mentor, and develop a team of financial analysts focused on advanced data analytics, forecasting, and business insights. Participate in the build-out of Presidio's enterprise data warehouse Define and execute a strategic roadmap for financial analytics to enable better forecasting accuracy, scenario planning, and decision support across the enterprise. Collaborate with senior executives to establish key financial performance indicators (KPIs) that align with organizational objectives and drive accountability. Foster a culture of data literacy and analytical rigor across the Finance function and beyond. Financial Planning & Performance Management: Oversee the development and maintenance of enterprise-level financial models ensuring analytical consistency across business units. Guide the team in developing and interpreting complex financial and operational datasets to identify opportunities for growth, efficiency, and profitability improvement. Provide executive-level insights and strategic recommendations based on data analysis of financial performance, market trends, and internal metrics. Partner with functional leaders to ensure that analytics are used to support decision making, resource allocation, and long-term strategic planning. Data Analytics & Systems Oversight: Direct the evolution of financial analytics capabilities, including integration with enterprise data warehouse, financial systems (e.g., D365, OneStream, Salesforce), and business intelligence platforms (e.g., Power BI). Champion automation, data governance, and analytics best practices to enhance efficiency and scalability. Collaborate with IT and Data teams to ensure systems infrastructure supports advanced analytics and business intelligence needs. Maintain strong understanding of emerging analytics technologies and recommend solutions to enhance Presidio's financial insight capabilities. Required Skills & Competencies: Proven leadership in managing high-performing financial analytics teams. Exceptional strategic thinking, executive communication, and stakeholder management skills. Expertise in financial modeling, forecasting, and performance measurement methodologies. Strong working knowledge of enterprise data environments, including data warehousing, business intelligence, and dashboard development tools (e.g., Power BI). Experience leveraging analytics to influence executive decision-making and operational strategy. Ability to synthesize complex data into concise, actionable insights for senior leadership. Education & Experience: Bachelor's degree in Finance, Business Administration, Economics, or a related discipline; Master's or MBA strongly preferred. 10+ years of progressive experience in financial planning, analysis, or business intelligence, including at least 3-5 years in a leadership role. Demonstrated success in building and scaling analytics capabilities within a finance organization. Experience in technology, SaaS, or other data-driven industries is highly desirable. Professional certifications such as CFA, CPA, or certifications in Data Analytics or Financial Modeling are advantageous. Your future at Presidio Joining Presidio means stepping into a culture of trailblazers-thinkers, builders, and collaborators-who push the boundaries of what's possible. With our expertise in AI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here, your impact is real. Whether you're harnessing the power of Generative AI, architecting resilient digital ecosystems, or driving data-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit www.presidio.com. Applications will be accepted on a rolling basis. Presidio is an Equal Opportunity / Affirmative Action Employer / VEVRAA Federal Contractor. All qualified candidates will receive consideration for this position regardless of race, color, creed, religion, national origin, age, sex, citizenship, ethnicity, veteran status, marital status, disability, sexual orientation, gender identification or any other characteristic protected by applicable federal, state, and local statutes, regulations, and ordinances. To read more about discrimination protections under Federal Law, please visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf If you have any difficulty using our online system and need an accommodation in the job application process due to a disability, please send an email to recruitment@presidio.com for assistance. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to recruitment@presidio.com. Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs.

At Collective Health, we're transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design. The Analytics team is a data-driven team focused on unlocking insights that improve member outcomes and drive business performance. Our team sits at the intersection of data, strategy, and execution. The Analytics team reports directly to the Vice President, Data Engineering, Analytics, and AI in Product Development. In this role, you will lead complex data analyses to support clinical, operational, and financial decisions, and play a key role in developing data products that shape strategic direction. You will collaborate across departments, mentor junior analysts, and work directly with business stakeholders. If you're passionate about using data to make a meaningful impact in healthcare, you'll find a home here. What you'll do: Design, build, and deliver sophisticated analyses on medical cost, utilization, membership, quality, pharmacy, and network performance. Translate business questions into analytic plans and communicate results in a clear, actionable manner to both technical and non-technical audiences. Develop and maintain dashboards, reports, and data visualizations using Looker and other BI tools. Support internal stakeholders (e.g., Product, Clinical, Network, Finance) by generating insights that inform strategy and operational improvements. Identify opportunities to automate manual reporting and create scalable analytic assets. Provide quality assurance and peer review of analytic deliverables. Mentor junior analysts and contribute to the development of analytics standards, documentation, and best practices. To be successful in this role, you'll need: 8+ years of experience in data analytics, preferably in healthcare, health tech, or a related industry. Proven ability to work with complex, large-scale datasets-including querying, QA, summarizing, visualizing, and communicating insights. Strong SQL skills with a track record of writing efficient, scalable queries for analysis and reporting. Experience with more than one coding language and business insights tooling with Looker. Demonstrated project management skills, with the ability to prioritize tasks, manage timelines, and drive cross-functional collaboration. Strong communication skills, with the ability to translate technical findings into clear, actionable recommendations for non-technical stakeholders. To partner with data engineering to develop and maintain data models that support analytics, reporting, and business intelligence across clinical and insurance domains. To champion data quality by conducting regular audits, identifying inconsistencies, and supporting governance practices that ensure data integrity. To collaborate with cross-functional teams-including clinical leaders, product managers, and strategy partners-to surface insights that guide program design and business decisions. To be self-sufficient, intellectually curious and take ownership for everything you do. Pay Transparency Statement This is a hybrid position based out of one of our offices: San Francisco, CA, Plano, TX, or Lehi, UT. Hybrid employees are expected to be in the office two days per week.#LI-hybrid The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/ . San Francisco, CA Pay Range $134,500-$168,750 USD Lehi, UT Pay Range $107,635-$134,000 USD Plano, TX Pay Range $117,500-$147,000 USD Why Join Us? Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare Impactful projects that shape the future of our organization Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests Flexible work arrangements and a supportive work-life balance We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com. Privacy Notice For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/ .

ABOUT THE BRAND: Callaway Golf is the leading manufacturer of premium golf clubs, balls, performance gear and accessories worldwide. Through an unwavering commitment to innovation, we push the limits of performance and create demonstrably superior products designed to make every golfer a better golfer. Our company is a blend of experience and diverse backgrounds, and together we look to move the game forward, and we want top-notch people to join us in that mission! By joining Callaway Golf, you also join part of the portfolio of brands within Topgolf Callaway Brands, an unrivaled tech-enabled Modern Golf and active lifestyle company delivering leading golf equipment, apparel, and entertainment, with a portfolio of global brands including Topgolf, Callaway Golf, TravisMathew, Toptracer, Odyssey, OGIO, Jack Wolfskin, and World Golf Tour ("WGT"). "Modern Golf" is the dynamic and inclusive ecosystem that includes both on-course and off-course golf. For more information, please visit https://www.topgolfcallawaybrands.com As a Principal Data Engineer, you will play a critical role in helping the organization leverage data and technology to drive business growth, customer engagement, and data-driven decision-making. The primary responsibilities will be building, managing, and optimizing data pipelines as well as machine learning models for predictive analytics effectively into production for critical data and analytics consumers like business/data analysts, data scientists, or any persona needing curated data for data and analytics use cases across the enterprise. ROLES AND RESPONSIBILITIES Design and maintain data architecture using Snowflake, Azure, and Python for robust data solutions. Develop and optimize ELT/ETL workflows with Python, SQL, and Spark for data accuracy and scalability. Lead development and deployment of data-driven solutions, supporting Gen AI and AI applications. Apply software engineering principles to build scalable, maintainable data and application solutions. Collaborate with cross-functional teams to define business requirements and architect data solutions. Ensure compliance with data privacy regulations and best practices. Implement DevOps processes to automate deployment and testing of data pipelines and software. Stay current on data engineering, Gen AI, and marketing technology trends, recommending adoption. Deliver high-quality, scalable solutions in an Agile environment, meeting deadlines and budgets. TECHNICAL COMPETENCIES (Knowledge, Skills & Abilities) Expert in Snowflake pipelines for data workloads in Azure or AWS. Deep knowledge of marketing tech stack: marketing tools (Email, SMS, Paid channels like Google Ads, Meta Ads) and CDPs. Strong data modeling skills for designing efficient, scalable database structures. Knowledge of Gen AI, AI frameworks (TensorFlow, PyTorch, scikit-learn). Strong software engineering skills, including React, JavaScript, tools (Node.js, Git, Webpack). Proficient in complex, high-volume, high-dimensionality data. Advanced Python fluency for data engineering and SQL expertise for data optimization. Proficient in DevOps, cloud platforms (Kubernetes, serverless), IaC (CloudFormation, Terraform). Excellent communication skills. Self-motivated, results-oriented, data excellence-focused. EDUCATION AND EXPERIENCE Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or related field; Master's degree preferred. 8+ years of experience in data engineering, with a focus on designing and building data pipelines and architecture. 5+ years of hands-on experience with Snowflake, Azure, and Python in data solutions. Proven track record in software engineering, with experience in React and modern development tools. Demonstrated leadership in delivering scalable, data-driven solutions in an Agile environment. #LI-LE1 DE&I and EEOC: Inclusion & Diversity: As a purpose-led, performance driven company, we strive to foster a culture of belonging based on respect, connection, openness and authenticity. We are committed to building and maintaining a workplace that celebrates the diversity of our associates, supporting them to bring their authentic selves to work every day. If your experience is close to what we're looking for, please consider applying. Experience comes in many forms, skills are transferable, and passion goes a long way. We know that diverse backgrounds and experiences make for the best problem-solving and creative thinking, which is why we're dedicated to adding new perspectives to the team and encourage everyone to apply. We look forward to learning more about you. ARE YOU READY TO MAKE THE TURN? APPLY TODAY! 141,200.00 - 176,500.00 - 211,800.00 USD Annual

Join Ferrovial: Where Innovation Meets Opportunity Are you ready to elevate your career with a global leader in infrastructure solving complex problems and generating a positive outcome on people's lives? At Ferrovial, we are not just a company; we are a community of innovators and trailblazers. Listed on three major stock markets: Nasdaq (US), Euronext Amsterdam (Netherlands) and IBEX 35 (Spain), we are also member of the Dow Jones Sustainability Index and FTSE4Good. We operate in more than 15 countries and have a workforce of over 24,000 professionals worldwide. Ferrovial's activity is carried out through our business units, including Highways, Airports, Construction, and Energy. Cintra is the highways business unit of Ferrovial, one of the world's leading infrastructure operators committed to developing sustainable solutions. Today, its portfolio includes nearly 1,200 miles of managed highways globally, representing a total global investment in roadway improvements of over $24.8 billion. We provide the maximum value in each project, managing all phases of the life cycle of our state-of-the-art infrastructure assets, such as the 407 ETR in Canada, the Managed Lanes LBJ and NTE in Texas, I-77 in North Carolina, I-66 in Virginia and our projects in Europe, South America, and India. Why Ferrovial? Global presence, local impact: Be part of a company that is shaping the future of infrastructure worldwide, with challenging roles and projects that make a real difference. Collaborative excellence: Work alongside talented professionals in a collaborative environment where your ideas and contributions are valued. Inclusive Culture: Thrive in an innovative and respectful workplace that values every voice, celebrates what makes us unique and turns differences into innovation. Career growth: Benefit from global and cross-business unit mobility, with development processes designed to ensure your professional growth. Compelling benefits and employee wellbeing: Enjoy a comprehensive benefits package that rewards your hard work and dedication and take advantage of initiatives designed to support your physical and psychological health. Productivity tools: Utilize cutting-edge tools like Microsoft Copilot to enhance your productivity and efficiency. Job Description: Cintra, a Ferrovial company, develops and manages toll roads and transport infrastructure around the world. The Customer Analytics department within Cintra is responsible for exploring and identifying future sources of competitive advantage. The Data Scientist will perform data and statistical analyses to address strategic business questions posed by management. Responsibilities include communicating findings to management and supporting the work of other analytics teams. The Data Scientist is expected to stay up to date on new analytical methods, data sources, and techniques. This position is based in Austin, TX, and supports projects and teams across North America and Europe. Essential Duties and Responsibilities Execute Customer Analytics projects with three strategic goals: Develop revenue optimization strategies for existing toll concessions. Build models to accurately forecast traffic and revenue using existing and new data sources and analytical techniques; identify key variables affecting forecasts through machine learning and statistical analysis. Design experiments and develop/execute measurement plans to evaluate new initiatives in a test & learn environment. Stay informed of new developments in analytics techniques, systems, data sources, and providers, and evaluate opportunities to apply them to benefit Cintra. Qualifications (Knowledge, Skills & Abilities) To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and abilities needed to fulfill those duties. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. Key Requirements Advanced degree (M.S. or Ph.D.) in quantitative fields such as Operations Research, Data Science, Statistics, Computer Science, Industrial Engineering, or a related discipline from an accredited institution. 1-3 years of experience building advanced analytical models that demonstrate measurable business impact. Proficiency in advanced analytical techniques such as regression, classification, clustering, tree-based methods, and optimization models. Experience performing statistical analysis of controlled experiments. Experience using SQL and/or Spark to process, clean, and analyze large datasets. Experience with R and/or Python. Experience working with Databricks. Professional Qualities A research-oriented and innovative mindset-curious, proactive, and eager to explore new ideas. Strong written and verbal communication skills, particularly in technical report writing. Ability to summarize, present, and explain findings and conclusions to management. Strong task management skills and the ability to meet strict deadlines independently and in an organized manner. Ability to collaborate effectively within a self-managed team structure. Demonstrates strong problem-solving skills. Work Environment & Physical Demands The work environment and physical demands described here are representative of those an employee may encounter while performing the essential functions of this job. Reasonable accommodation may be provided to enable individuals with disabilities to perform these functions. The noise level in the work environment is usually quiet. Some travel is required, which may include air travel. The employee must occasionally lift and/or move up to 10 pounds. Vision requirements include the ability to adjust focus, particularly for computer use. While performing the duties of this job, the employee is regularly required to talk or hear. The employee is frequently required to stand, walk, and sit. Seize the challenge. Move the world together! Innovative, creative, respectful, and diverse are some of the ways we describe ourselves. We are motivated by challenges, and we collaborate across our business units to move the world together. Your journey to a fulfilling career starts here! Ferrovial is an equal opportunity employer. We treat all jobs applications equally, regardless of gender, color, race, ethnicity, religion, national origin, age, disability, pregnancy, sexual orientation, gender identity and expression, covered veteran status or protected genetic information (each, a "Protected Class"), or any other protected class in accordance with applicable laws. #WeAreFerrovial

We're a global leader in providing energy solutions that help businesses grow and communities thrive. We work as a team and we're proud of the difference we make to customers, to local communities, and towards a sustainable future for the world. We are hiring immediately for a Sales Representative in our Data Centers group for the Northeastern territory. This role is responsible for driving market penetration, expanding our customer base, and delivering tailored energy, climate control, and commissioning solutions that meet the evolving needs of hyperscale, colocation, and enterprise data centers. Key Responsibilities: Market Penetration & Growth Identify and pursue new business opportunities within the data center sector. Develop and execute strategic plans to penetrate untapped markets and regions. Analyze market trends, customer needs, and competitive landscape to inform go-to-market strategies. Customer Acquisition & Relationship Management Build and maintain strong relationships with key decision-makers, influencers, and stakeholders. Drive customer engagement through consultative selling and value-based conversations. Manage the full sales cycle from lead generation to contract negotiation and closing. Solution Selling Collaborate with engineering and operations teams to design customized power, cooling, and energy storage solutions. Present Aggreko's offerings in a way that aligns with customer pain points, sustainability goals, and operational requirements. Educate customers on Aggreko's capabilities in temporary and permanent infrastructure support. Sales Performance & Reporting Meet or exceed sales targets, KPIs, and revenue goals. Maintain accurate records of sales activities, pipeline development, and customer interactions in CRM systems. Provide regular market feedback and insights to leadership for continuous improvement. Qualifications: Proven experience in B2B sales, preferably in data centers, energy solutions, or industrial services. Strong understanding of data center infrastructure, operations, and challenges. Excellent communication, negotiation, and presentation skills. Ability to work independently and collaboratively in a fast-paced environment. Familiarity with solution selling methodologies and strategic account management. Preferred Skills: Experience with temporary power, HVAC, or energy storage solutions. Technical aptitude in electrical or mechanical systems. Existing network within the data center industry. Equal employment opportunity We welcome people from different backgrounds and cultures, and respect people's unique skills, attitudes and experiences. We encourage everyone to be themselves at work because we know that's how we do our best, for each other, for our customers, for the communities where we work, and for our careers. We are an equal opportunity employer. If you apply for a role at Aggreko, we will consider your application based on your qualifications and experience, and not on your race, colour, ethnicity, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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.

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. Job Description: Staff Engineer - Finance Data Specialist GEICO is seeking Finance Data specialists to support the build out of a Finance Data Warehouse/Lake by partnering with both Finance and Technology teams to redesign the way they use their technologies in managing GEICO's business. This individual must have strong functional and technical Finance Systems background to partner with the Business ensuring effective discussions to drive the capture, transformation, and utilization of Finance data to meet Business goals. The Staff Engineer, Finance Data Specialist will report to the Senior Manager of Finance Data & Analytics and will provide solutions on how to build out, maintain, and support a Finance Data repository to support FP&A processing and analytics while also supporting the larger Finance organization's need for Finance data. The Finance Data Specialist will work with multiple Finance and Technology leaders to support the build out the company's Finance Data Warehouse/Lake to provide a central repository for all Financial related transactions so it can be a reconciled source of truth for processing and the source for Revenue and Expense analytics. This role is also accountable to support the delivery of technology solutions that will support FP&A Planning/Budgeting, financial reporting, Revenue/Expense Analytics, and the build out of the Finance Data Warehouse to become a reconciled source to allow the GL to become a "thin" ledger. The ideal candidate has deep Finance Systems experience across multiple companies, a background in ERP and Finance Data Warehouses from both technical and functional aspects and has supported the deployment of best practices leveraging their broad knowledge of various ERPs (e.g. Oracle; Workday; SAP or PeopleSoft). Prior Financial Systems experience is needed to be considered. Position Responsibilities As a Staff Engineer, Finance Data Specialist supporting Finance functions you will: Leverage your strong Functional and Technical systems expertise to drive towards the right solution to support the department and GEICO's current and future needs Engage in cross-functional collaboration throughout the entire software lifecycle Support design sessions with peers to ensure systems are well designed, efficient, and meet Business expectations Collaborate with Finance Leaders within the FP&A, Controllers, Financial Reporting, and Finance QA & Systems team along with the Data Engineering and Finance Technology leaders to ensure organizational goals are met Have a deep understanding of a few Finance functions to support the establishment of a vision and technology roadmap to build out a Finance Data Lake/Warehouse Have a good understanding of finance data lake/mart with Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Experience with designing, developing, implementing, and maintaining solutions for data ingestion and transformation projects Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent) Support the development of a roadmap and then work towards implementing Revenue and Expense Analytical solutions Support and try to influence customers and stakeholders, and work through divergent expectations Support the implementation of a strong control and governance framework and maintain it for SOX and Audit reviews Support Business and Technology discussions at various levels to ensure alignment towards long term goals of Finance and Technology Analyze and translate business and functional specifications and change requests into technical specifications Share best practices and improve processes within and across teams Qualifications 15+ years of Finance Systems experience with industry leading ERP solutions (e.g. implementing and supporting Oracle; Workday; SAP or PeopleSoft) 3+ years of experience in implementing and supporting FP&A applications (Preferred) 3+ years working with or supporting a Finance Data Lake/Warehouse/Mart along with various Financial Reporting tools Good understanding of Dimensional Data Modeling Strong working knowledge of Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs Experience working with Financials via the major vendors (e.g. PeopleSoft; Oracle EBS; Oracle Cloud; Workday; or SAP) Finance domain expertise to be able to work with senior Finance leaders to interpret their process and functional needs into system solutions Good understanding of FP&A Budgeting, Planning, and forecasting processes Experience in implementing or supporting Revenue or Expense analytical solutions via tools such as Power BI, Tableau, etc. Good understanding of accounting process and reporting expectations to partner with Finance teams Ability to communicate and work directly with users across Technology and Finance Sound understanding of project management techniques, methodologies, and best practices Strong problem-solving abilities Ability to excel in a fast-paced environment Knowledge and experience with the software development life cycle Ability to work independently and in a team-oriented collaborative environment Education Bachelor's degree in Computer Science, Information Systems, Engineering, Business Administration, or equivalent education or work experience Annual Salary $115,000.00 - $260,000.00 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. 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.

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.

About Us We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies. We protect temperature-sensitive goods throughout the cold chain. And we bring comfort to people globally. Best-in-class engineering, design and manufacturing combined with category-leading brands in compression, controls, software and monitoring solutions result in next-generation climate technology that is built for the needs of the world ahead. Whether you are a professional looking for a career change, an undergraduate student exploring your first opportunity, or recent graduate with an advanced degree, we have opportunities that will allow you to innovate, be challenged and make an impact. Join our team and start your journey today! As a Senior Data Scientist, you will: Implement solutions to solve sophisticated engineering problems using machine learning, econometrics and operations research techniques Build customer-focused analytics with data scientist peers Discover opportunities to improve systems, processes and enterprises through data analytics and automation Generate reports for decision-making using data visualization tools Establish and maintain collaboration with other internal teams to apply cloud and edge-computing capabilities for production and proprietary algorithms Develop in-depth business and domain understanding Translate analytics techniques published in peer-review journals and conference proceedings into practical solutions for challenges at hand Required Education, Experience, & Skills: Strong interdisciplinary background, combining data science expertise with a solid grounding in traditional engineering fields such as Chemical, Mechanical, Aerospace, or related disciplines. Bachelor Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering, Mathematics, Data Science, Statistics or other relevant degree 3+ years of relevant experience Experience in data wrangling and modeling in Python or similar language and collaborate using Git Proficient in verifying raw data integrity through automation and classic extract-transform-load (ETL) techniques Proficient in robust statistics, hypothesis testing, experimental design Ability to work virtually with a global team Ability to translate ambiguous business problem into actionable analytics and data science tasks Preferred Education, Experience, & Skills: 1+ years of practical experience in predictive maintenance Advanced Degree in Analytics / Computer Science / Artificial Intelligence / Mathematics, Statistics, Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering Knowledge of HVAC and refrigeration related thermodynamics, system operation and system control logic Proven experience in applying signal process (time and frequency domain) for feature engineering Experience in applying optimal control theory and reinforcement learning (RL) Proven experience as the technical lead for project(s) or research or acted as a change agent for transformation initiatives Experience with Docker, Azure DevOps, Agile sprints Ability and interest in translating highly sophisticated and abstract concepts to internal and external team members with minimum analytics knowledge Flexible Work Schedule- Remote Work Option and Core Hours This role has the flexibility of a remote work option up to three days a week and a core hour schedule. You can choose to flex your start and stop times given you are working during the core hours of 9:00am- 3:00pm. Our teams work together to ensure our chosen work schedules enable our creativity and productivity as we serve the needs of our customers. Our Commitment to Our People Across the globe, we are united by a singular Purpose: Sustainability is no small ambition. That's why everything we do is geared toward a sustainable future-for our generation and all those to come. Through groundbreaking innovations, HVACR technology and cold chain solutions, we are reducing carbon emissions and improving energy efficiency in spaces of all sizes, from residential to commercial to industrial. Our employees are our greatest strength. We believe that our culture of passion, openness, and collaboration empowers us to work toward the same goal - to make the world a better place. We invest in the end-to-end development of our people, beginning at onboarding and through senior leadership, so they can thrive personally and professionally. Flexible and competitive benefits plans offer the right options to meet your individual/family needs: medical insurance plans, dental and vision coverage, 401(k), tuition reimbursement, and more. We provide employees with flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. Together, we have the opportunity - and the power - to continue to revolutionize the technology behind air conditioning, heating and refrigeration, and cultivate a better future. Learn more about us and how you can join our team! #LI-AE1 Our Commitment to Our People Across the globe, we are united by a singular Purpose: Sustainability is no small ambition. That's why everything we do is geared toward a sustainable future-for our generation and all those to come. Through groundbreaking innovations, HVACR technology and cold chain solutions, we are reducing carbon emissions and improving energy efficiency in spaces of all sizes, from residential to commercial to industrial. Our employees are our greatest strength. We believe that our culture of passion, openness, and collaboration empowers us to work toward the same goal - to make the world a better place. We invest in the end-to-end development of our people, beginning at onboarding and through senior leadership, so they can thrive personally and professionally. Flexible and competitive benefits plans offer the right options to meet your individual/family needs: medical insurance plans, dental and vision coverage, 401(k) and more. We provide employees with flexible time off plans, including paid parental leave, vacation and holiday leave. Together, we have the opportunity - and the power - to continue to revolutionize the technology behind air conditioning, heating and refrigeration, and cultivate a better future. Learn more about us and how you can join our team! Our Commitment to Inclusion & Belonging At Copeland, we cultivate a strong sense of inclusion and belonging where individuals of all backgrounds, and with diverse perspectives, are embraced and treated fairly to enable a stronger workforce. Our employee resource groups play an important role in culture and community building at Copeland. Work Authorization Copeland will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1 with OPT or CPT, H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire. Equal Opportunity Employer Copeland is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment. If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: copeland.careers@copeland.com

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. Each member of the Data team plays an integral part of what we are building at Varo. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company's growth, apply now! What you'll be doing Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes Assess the effectiveness and accuracy of new data sources and data gathering techniques Understand and apply proper risk framework to your analysis and modeling. Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions Collaborate cross functionally to implement models and monitor outcomes You'll bring the following required skills and experiences 7+ years of experience in Analytics, Data Science or Data Engineering as an individual contributor An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc Credit and / or Fraud Risk modeling experience in consumer finance is nice to have Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions Experienced in using Python for analysis and modeling Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.) Excellent cross-functional communication skills Ability to thrive in a fast-paced environment $210,000 - $280,000 a year For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $210,000 - $280,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - https://www.facebook.com/varomoney Instagram - www.instagram.com/varobank LinkedIn - https://www.linkedin.com/company/varobank Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail [email protected] with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: https://www.varomoney.com/privacy-legal/ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.