Data Scientist Jobs in Farmingville, NY

Role: Data Modeler/Analyst Must have ETL design experience. They need to have designed ETL, process and architecture, ER Studio, Data modeling etc. Focused on the ETL design experience and strong data modeling. Qualifications: • Computer or Information Science or equivalent field • DAMA Data certifications a plus • 10+ years of experience in data modeling, database design, and data architecture. • Experience in Commercial Finance domain and worked on at least 2 projects and understand critical domain terminology. • Proficient in Data Lineage / Modeling tools (ER Studio). Informatica toolsets including Data Archive, EDC, Oracle database. • Expert understanding of Data Warehouse design for high volume processing and performance. • Knowledge of Business Intelligence tools utilization including Tableau, and/or Microsoft Power BI. • Bachelors or Master's degree specialized in areas related to Information and Data management and Design. • 10 years of deep data modeling and architecture experience • Data modeling, Data lineage, Data standards • In addition to other duties/functions, this position requires full commitment and support for promoting ethical and compliant culture. • More specifically, this position requires integrity, honesty, and respectful treatment of others, as well as a willingness to speak up when they see misconduct or have concerns. • Experienced in working with different data modeling techniques including dimensional, data vault. • Experienced in working with Azure SQL Server and must be aware of Datawarehouse and Data Lake concepts thoroughly. • Experience in Databricks, ADF is preferable. Responsibilities: Design, develop, and enforce data models and naming standards across all deliverables. Reverse and forward engineer Business legacy data models. Effectively communicate the technical data integration requirements, design, and decisions that support the functional needs of Data Engineering to both IT and Business members via verbal or documentation. Reduce data redundancy consolidation, transformation, and training of Business and IT members. Design and develop data lineage with / without pre-existing documentation. Create and maintain current and target state data integration models and flows. Reverse and Forward engineer Business data models to the level needed for business Analytics usage. Develop an understanding of Business processes and the corresponding system architecture in order to determine Source system(s) of required data, data relationships, and impacted integrations. Partner with the Business Intelligence teams in defining the end state reporting goals and/or dashboard requirements. Design and develop Data models and solutions required to meet them. Ensure Design documentation includes appropriate Business rules and facilitates data Security, Quality, Lineage, and Harmonization. Support testing and deployment activities as required. Assist in developing and then meet agreed-upon deadlines and perform other project duties as assigned. Single point of contact for data related questions, and quality. Communicate technical and non-technical information clearly, concisely, and effectively both orally and in writing. Present findings, recommendations, and specifications in formal reports and/or oral presentations to both Business and IT Teams.

Yale University offers exciting opportunities for achievement and growth in New Haven, Connecticut. Conveniently located between Boston and New York, New Haven is the creative capital of Connecticut with cultural resources that include three major museums, a critically acclaimed repertory theater, state-of-the-art concert hall, and world-renowned schools of Architecture, Art, Drama, and Music. General Purpose: The Yale/Yale New Haven Hospital Center for Outcomes Research and Evaluation (CORE) is a leading national outcomes research center dedicated to transforming healthcare for the betterment of people and society by leveraging data, analytics and technology. We have assembled a talented, multidisciplinary group who are committed to developing solutions to the practical needs of medicine and healthcare. Our organization combines the highest academic ideals with a pragmatic approach that emphasizes the production of useful knowledge. We are distinguished by our creativity, dedication, experience and skills - and our commitment to having our work make a tangible difference to patients, the public and society. Essential Duties: Develops operational procedures for collection, editing, verification, and management of statistical data Develops and implements relevant statistical programs to incorporate data from multiple projects Designs comprehensive relational databases with working knowledge of the scientific applications impacting on the data analysis and reporting Assists faculty and other research professionals with the formulation and description of appropriate statistical methods Evaluates research studies and recommends statistical procedures to analyze the data Carries out comprehensive statistical analysis for a broad spectrum of types of data and types of studies Integrates the research methodologies of multiple projects into bio-statistical analyses Prepares reports summarizing the analysis of research data, interpreting the findings and providing conclusions and recommendations Presents talks, seminars, or other oral presentations on the methodology and analysis used in scientific studies Assists investigators in preparation of research grant applications by writing research methods sections pertaining to acquisition, analysis, relevance and validity of data Participates in the preparation of manuscripts that are submitted for peer reviewed publication May supervise and provide training for lower level or less experienced employees Required Education and Experience: Master's degree in Biostatistics, Statistics, or relevant field. Four or more years of experience, or an equivalent combination of education and experience. Required Skills and Abilities: Coursework in longitudinal data analysis, including survivorship methods and random effects models Advanced knowledge and related work experience utilizing SAS programming (SUDAAN, BUGS, S+, MSAccess) in longitudinal research investigations and biostatistical data analysis. Proficiency in fitting generalized linear models and mixed models Well-developed analytical, organizational, oral and written communication skills Ability to work with investigators having differing clinical and epidemiological backgrounds Reliable, professional and flexible. Preferred Education, Experience, and Skills: PhD degree preferred Publishing history as co-author and primary data analyst Proficiency in work with Medicare databases, with specific experience with CMS National Quality Improvement Project databases We invite you to discover the excitement, diversity, rewards and excellence of a career at Yale University. One of the country's great workplaces, Yale University offers exciting opportunities for meaningful accomplishment and true growth. Our benefits package is among the best anywhere, with a wide variety of insurance choices, liberal paid time off, fantastic family and educational benefits, a variety of retirement benefits, extensive recreational facilities, and much more.

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Analyse and identify the linkages and interactions between the component parts of an entire system. + Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. + Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. + Develop skills outside your comfort zone, and encourage others to do the same. + Effectively mentor others. + Use the review of work as an opportunity to deepen the expertise of team members. + Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. + Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. **Minimum Degree Required** Bachelor's Degree **Minimum Year(s) of Experience** 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: + Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients + Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach + Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases + Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds + Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases + Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; + Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; + Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; + Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps + Structuring, write, communicate and facilitate client presentations; and, + Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: + Managing GenAI application development teams including back-end and front-end integrations + Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); + Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization + Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev + Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms + Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: ***********************************

This is not a remote work opportunity. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1's working on EAD for this position. Are you ready to drive and shape the future of Ericsson Silicon's Verification analytics and data-driven insights? Join our dynamic Design Verification Methodology team, dedicated to defining cutting-edge metric-driven methodologies and dashboarding solutions across our global R&D sites in Austin, Stockholm, and Lund. About Us We are part of Ericsson Silicon, an engineering unit that develops state-of-the-art ASICs and FPGAs targeting the newest technology nodes for Ericsson's 5G telecommunication portfolio. This department offers many opportunities for career growth and access to a large knowledge base. What you will do: To excel in this high-visibility role, we seek individuals with a background in ASIC IP/ASIC SoC development, data science, and dashboarding. You will play a crucial role in shaping data-driven methodologies that help silicon IP engineers track Coverage metrics, Functional Coverage pass/fail rates, EDA tool efficiency, and verification progress, ensuring a holistic view of ASIC SoC health. A key focus is on building scalable metric systems, integrating AI/ML techniques for predictive analytics, and visualizing workload throughput across compute clusters and EDA tools * Design and implement Silicon DV metric systems to track and visualize: Coverage and Functional Coverage (pass/fail rates, closure status). Workload Throughput (runtime, memory usage, compute efficiency, and job scaling). EDA Resource Utilization (license usage, peak load analysis, and bottleneck detection). Other key KPI to measure and track Silicon Design and Verification status * Develop interactive dashboards for real-time monitoring of verification progress and EDA tool performance. * Create AI/ML-driven analytics for predictive workload optimization and resource allocation insights. * Automate data collection and transformation from EDA tools, compute clusters, and job schedulers. * Integrate metric systems into CI/CD workflows, enabling data-driven decision-making for IP/ASIC/SoC verification teams. * Collaborate with silicon engineers to improve compute scheduling, license efficiency, and verification throughput. * Establish best practices for data visualization, reporting, and engineering decision support. What you will bring: * Strong expertise in data science, analytics, and visualization tools (e.g., Python, Pandas, NumPy, Jupyter, Tableau, Grafana). * Experience with EDA tool monitoring (e.g., Synopsys VCS, Cadence Xcelium, Siemens Questa, JasperGold, Verdi). * Proficiency in SQL, NoSQL databases, and scalable data pipeline development. * Knowledge of AI/ML frameworks for predictive analytics in EDA workloads. * Familiarity with compute cluster resource monitoring (e.g., Slurm, LSF, Kubernetes). * Hands-on experience with runtime and memory profiling for verification workloads. * Understanding of CI/CD tools like Jenkins, GitLab, Docker, Kubernetes. * Strong programming skills in Python, Bash, Perl, or similar scripting languages. * Effective communication and ability to present data-driven insights to engineering teams. Why Join Us? * Be part of a high-impact team transforming silicon verification with data science and AI. * Work on cutting-edge analytics and visualization tools for EDA workload monitoring and optimization. * Shape data-driven verification methodologies for global engineering teams. * Collaborate with world-class experts in semiconductor R&D. base pay range $175,000 to $210,000 What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Notice of Job Opportunity - Legal Notices for PERM We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at *************************** DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: USA || Austin, TX Job details: Developer Primary Recruiter: Jim Everett

The world around us is changing. Retail is in a state of major transition, and consumers have more options than ever. As a leading provider of global information and advisory services, NPD is at the forefront of helping our clients, the world's biggest brands and retailers understand and profit from these changes. Since 1966, we have been helping businesses track industry trends and understand their customers in order to get the right products in the right places for the right people at the right prices. We serve more than a dozen industries including consumer electronics, entertainment, fashion, food / foodservice, toys, video games, and more. We want to lead manufacturers and retailers on collaborating via the effective use of our information in line reviews and joint business planning. Job Description NPD group is looking for a principal data scientist on both the engineering side and the analytics side of data science. This position resides in the Global Data Quality Management group. He or she will combine the skills to create new prototypes with the creativity and thoroughness to interrogate the most challenging questions about data quality, which is at the center of NPD's value creation for our clients. This is a leadership position and will require superior ability to quickly gather information and requirements from stakeholders, formulate solution, and implement the solution within the data quality groups. This position will interact frequently with senior leadership teams and will direct and manage the work of junior data scientists. Qualified candidates will have a strong academic background in mathematics, statistics, computer science, operational research, economics, and other highly quantitative disciplines, passion about data science and machine learning and experience with big data architecture and methods. Overall Responsibilities : Drive the creation of new data quality management capabilities that will bring significant operational efficiency. Conceptualize, analyze and develop actionable recommendations best practices in data quality processes Work with key stakeholders and understand their needs to develop new or improve existing solutions around data quality. Manage data analysis to develop fact-based recommendations for innovation projects. Work with cross-functional teams to develop ideas and execute business plans. Remain current on new developments in data quality Qualifications 8+ years' experience in modeling and predictive analytics with experience working with recommendation engine Excellent problem solving skills with the ability to design algorithms, which may include data profiling, clustering, anomaly detection, and predictive modeling methodologies Strong skills in statistical analyses with abilities in advanced data management and statistical programming using SAS, R, and other languages Familiarity with Agile methodology Ability to work cross-functionally in a highly matrix driven organization under ambiguous circumstances Broad understanding and experience of recommendation engine Personal qualities desired: creativity, tenacity, curiosity, and passion for deep technical excellence Advanced degree in a quantitative field (Statistics, Mathematics, Economics, etc.), PhD highly preferred. Additional Information *NPD is an EQUAL EMPLOYMENT OPPORTUNITY/AFFIRMATIVE ACTION EMPLOYER.

Title: Data Scientist with SAS Enterprise Miner 3- 5 years experience Location: Jericho, NY - source local first; ok to source national as long as the candidate is willing to relocate at their own expense Duration: 9+ months Visa Type: H1, US Citizen, GC Interview: 1 or 2 rounds of phone followed by onsite. May accept video web conference for out of state candidates Travel: no Rate: open - market rates Description: Analytical Science team is looking for strong Data Scientists who will be primarily responsible for retraining various predictive models using new data source and techniques with the goal to outperformance the existing models. Responsibilities: * Retrain existing predictive models using new data source and possibly new advanced techniques * Work comfortably with multi-terabyte and billion+ rows of data * Perform rigorous model evaluation, design hypothesis tests, oversee test execution and result evaluation Required skills/experience: * Advanced degree in Machine Learning, Applied Math, Computer Science, Economics, Statistics or a related quantitative field * At least 5 years recent experience (within past 3 years) building predictive models using SAS EG and SAS EM * Proficiency in SAS Enterprise Miner/ Enterprise Guide/ Base SAS is critical * Proficiency in Python and R in addition to SAS is a plus * Solid understanding of advanced statistical concepts, especially related to modelling is a must * Experience working with SQL Server, Google Cloud Platform/Google Big Query and Hadoop ecosystem Preference will be given to candidates with: * Practical experience in Neural Network, Random Forest, SVM and any other boosting techniques * Background in collaborative filtering, data mining, machine learning, optimization or statistical theory * Please share the following candidate details with each resume submission: * How many years SAS experience in past 3 years * How many years SAS Enterprise Miner experience in past 3 years * How many machine learning models built within past 3 years

We are seeking a dynamic and experienced data-scientist / analyst to lead the delivery of insights, analysis, and alerting on trends and the underlying causes of quality-of-service and service-rate fluctuations in our Internet and Video products. This role plays a critical part in helping Charter consistently deliver high-quality, reliable connectivity by promptly identifying issues related to network equipment, configuration, maintenance, and other controllable factors, while also accounting for non-controllable elements such as usage and weather conditions. The insights generated will guide internal stakeholders and leadership in driving resolutions for identified issues. This role requires applying a wide range of analytic techniques, from simple crosstabs to state-of-the-art AI/ML algorithms to measure the causal impact of drivers. In particular, we are expanding our approaches and techniques to include the fast-developing field of Causal AI, in order to precisely measure the impact of issue-drivers and estimate the potential impact of different interventions to fix these drivers. These techniques will be applied against a set of large and growing data - over 30 million rows of 100 columns per day and growing. Compute resources will include high-end relational data warehouse and cloud-based GPU-heavy compute for AI/ML. This role will be considered an intellectual co-owner of the algorithms and methods used to derive causal insights from observational data. In addition to these deep technical skills, this role will be the lead applied analyst on the team, responsible for reviewing work product, providing constructive and coaching feedback to junior team members, and delivering key results to senior stakeholders in a clear, polished, and professional manner. This position requires a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise. MAJOR DUTIES AND RESPONSIBILITIES * Actively and consistently support all efforts to simplify and enhance the customer experience. * Plan and lead the complete analytics lifecycle for problem solving, including: requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and algorithm productionalization. * Leverage consultative experience delivering insights on large, structured data to senior operational executives with strong communications skills (verbal, written PowerPoint). * Perform mid-level and advanced analytics using a range of techniques from basic (pivot table) to advanced (Causal AI tools and models). * Troubleshoot, debug, solve problems where the analytic approach, model, or tool the algorithm is not performing as well as needed, and lead the exploration of vendors in the marketplace that can meet this need, enabling buy versus build. * Participate in reviewing vendor tools and products that might be fit for our needs; consistently keep up-to-date in the latest market and academic developments in Causal AI. * Plan effectively to ensure analytics products are flexible, modular, and contain reusable code base. * Identify future technical needs of assigned projects to continue to grow capabilities of organization. * Coordinate technical activities across projects and the organization. WHAT YOU'LL BRING TO SPECTRUM Required Qualifications Required Skills/Abilities and Knowledge * Ability to read, write, speak and understand English. * Advanced-level skills in one or more scripting, analysis, or ETL languages, ability to readily read and adapt others' code, and ability to rapidly learn new languages or techniques. * Expert-level skills and experience with analysis language such as R and/or Python (including relevant packages) in support of advanced analytics. * Comprehensive experience and theoretical foundation of the properties of the major families of machine learning models (regression, decision trees, clustering, SVMs, neural networks). * Experience with modern machine learning technology and tools in order to produce model scoring code. * Basic background (awareness) and strong interest in further developing expertise in Causal AI techniques, e.g., Paradoxes and blunders that result from lack of causal awareness, structural causal models, causal graphs, causal discovery, and causal inference. Recent ability to keep abreast of the latest developments in this field, via regular review of published work (books and papers) in this field on these topics. * Command of advanced mathematical concepts including calculus, PDEs, probability, and statistics, and the ability to independently learn any necessary additional concepts. * Effective synthesis and presentation skills. * Ability to communicate results and recommendations to a wide variety of audiences including executive leadership. * Understanding of data architecture, data warehouse and data marts. * Experience with other database and data store technologies, such as NoSQL, key-value, columnar, graph, and document. * Extensive experience with large data sets and the tools to obtain, transform, and store data on Big Data and streaming services. * Program, product, or project management experience delivering analytics results. * Comprehensive background in Linux/Unix/CentOS or Windows installation and administration. * Ability to identify and resolve end-to-end performance, network, server, cloud, and platform issues. * Pattern recognition and predictive modeling skills. * Effective attention to detail with the ability to effectively prioritize and execute multiple tasks. Required Education Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience Required Related Work Experience and Number of Years * Data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer - 8 years * Python/SQL/ or R/SAS Programming - 8 years * Lead the design, develop and deployment machine learning and analytics models - 3+ years PREFERRED QUALIFICATIONS Preferred Skills/Abilities and Knowledge * Experience with Hadoop, HIVE, SPARK, and/or Snowflake * Strong basic analytics skills in SQL, Excel * Tableau and Python a plus Reading, merging, and drawing from research papers, finding the right path forward, local R&D on techniques, and implementing in practice * Knowledge of other relevant tools such as SAS, SPSS, Alteryx, Linux Knowledge of other relevant techniques such as text analysis and text mining * Operations-research background, in particular focused on large labor operations such as field ops, technical support, and sales * Background with cable and/ or telecommunications Preferred Education Master's degree in related field (ML / AI / DS) WORKING CONDITIONS * Office environment * Charter Technical Engineering Center * Highly collaborative and innovative work space * Occasional Travel #LI-LB1 BDA630 2024-42177 2024 Here, employees don't just have jobs, they build careers. That's why we believe in offering a comprehensive pay and benefits package that rewards employees for their contributions to our success, supports all aspects of their well-being, and delivers real value at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. Get to Know Us Charter Communications is known in the United States by our Spectrum brands, including: Spectrum Internet, TV, Mobile and Voice, Spectrum Networks, Spectrum Business and Spectrum Reach. When you join us, you're joining a strong community of 95,000 employees working together to serve nearly 32 million customers in 41 states and keep them connected to what matters most. Watch this video to learn more. Who You Are Matters Here We're committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. EOE, including disability/vets. Learn about our inclusive culture. Apply Now

KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we do not anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Manager, NFR Data Science in Non-Financial Risk for our Consulting practice. Responsibilities: * Serve as the technical lead on projects to design and develop advanced AI/ML solutions to meet clients' unique requirements, including participation in internal and external discussions to gather business use case requirements, provide advanced analytics and data science expertise and solution options for business problems * Engineer solutions using natural language processing and machine learning techniques to solve critical problems and improve processes for clients across capital markets and financial services businesses, including trade surveillance, electronic communications surveillance, payments fraud detection, third-party risk management and other operational risk categories * Utilize machine learning, natural language, and statistical analysis methods, such as sentiment analysis, topic modeling, time-series analysis, regression, classification, statistical inference, and validation methods to review financial services client risks * Perform explanatory data analyses, generate and test working hypotheses; prepare and analyze historical data and identify patterns to develop innovative solutions to financial services operational risk and regulatory compliance programs * Lead technical teams, mentor junior data scientists, and grow data science expertise within the broader team, including offshore; collaborate with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that AI/ML solutions meet the needs and expectations of various stakeholders * Present to key stakeholders, such as approach, data requirements, interim findings, and final solution architecture and infrastructure Qualifications: * Minimum six years of recent professional experience working in advanced analytics and data science; minimum two years of recent experience managing teams and delivering complex and critical projects * Bachelor's degree from an accredited college/university in a relevant STEM field such as data science, computer science, engineering, mathematics, physics and other related fields * Extensive experience in AI/ML algorithm development and data analysis including at least one of the following: NLP, time-series analysis, predictive modeling; experience with scripting, data structures and algorithms and ability to work with large amounts of data * Experience in a statistical programming language (for example, R or Python) and related data science / machine learning packages (for example, Pandas, Scikit-learn, Pytorch, Transformers) * Excellent communication, written, presentation, and problem-solving skills * Previous technical client service experience preferred * Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) and have the ability to travel regularly KPMG complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, the firm is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year the firm publishes a calendar of holidays to be observed during the year and provides two firmwide breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at "Benefits & How We Work". Follow this link to obtain salary ranges by city outside of CA: ********************************************************************** KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site). KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

**_Great company. Great people. Great opportunities._** If you'd like the chance to make your mark with the world's largest equipment rental provider, **come build your future with United Rentals!** The Data Scientist of Performance Analytics will support the company's efforts to use analytics, data science, data mining, AI and GenAI to drive improved decision making, increased return on investment and profitable growth. Will be a key team member on projects that demonstrate the use of Analytical, Data Science, AI, and GenAI techniques throughout the organization. As part of the Performance Analytics team, you'll solve some of the most fascinating and impactful problems in machine learning, information retrieval, NLP & LLM. **What you'll do:** + Identify areas where the company's data can be leveraged with analytical skills and measure/track success of predicted data and results. + Designs experiments, test hypotheses, and build models. Applies statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems. + Leverage SQL skills to understand data and to combine multiple data sets into analysis ready data files. + Leverage Python and other programming tools to build prototypes in areas of AI, Machine Learning, and Gen AI. + Develop and maintain strong relationships at both the field and corporate level in order to operationalize and take action from the learning from the data analytics. + Building proof of concepts and expose the core logic in a UI or existing front end. + Building, validating, testing and deploying predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems. + Run data queries and analyze data to test data for future production usage. + Other duties assigned as needed. **Requirements:** + Master of Science in Computer Science, Information Management, Statistics, Econometrics, Operations Research or Analytical/Quantitative Methods + 3-5 years progressive analysis and data science experience; post Masters/PhD program work experience preferred + Strong experience in: SQL or other programming language; Python or similar high level programming language + AWS or similar experience in handling cloud platforms and LLM tools and programming preferred + API development and experience in developing new tools and presenting them to all levels + Strong business acumen and communication & interpersonal skills + Analytical and problem solving skills with knowledge of related technology tools + **_Why join us?_** We don't just "talk the talk!" We're an award-winning company (recently named a Glassdoor Best Place to Work in 2023) that truly cares about our people - That's why we offer best-in-class benefits and perks that will support you and your family. In addition to our health and financial plans, we also offer: + Paid Parental Leave + United Compassion Fund (*********************************************** + Employee Discount Program + Career Development & Promotional Opportunities + Additional Vacation Buy Up Program (US Only) + Early Wage Access through Payactiv (US Hourly Only) + Paid Sick Leave + An inclusive and welcoming culture (************************************************* Learn more about our full US benefit offerings (********************************** here. Mutual respect for the dignity and fundamental rights of all persons defines our culture. United Rentals, Inc. is an Equal Opportunity Employer and makes employment decisions regardless of race, color, religion, sex, national origin, age, genetic information, citizenship status, veteran status, sexual orientation, gender identity, disability, or any other status protected by law. If you need a reasonable accommodation at any point of the application process, please email ************** for assistance. United Rentals consists of a wide variety of roles with different duties and responsibilities. The actual pay rate offered to candidates varies depending upon a wide range of factors including specific position, education, training, experience, skills, and ability.

Are you looking to Optimize your life? Start your exciting path to a rewarding career today! We are Optimum, a leader in the fast-paced world of connectivity, and we're on the hunt for enthusiastic professionals to join our team! We understand that connectivity isn't just a luxury anymore - it's a necessity that empowers lives, fuels businesses, and drives innovation. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. We owe our success to our amazing product, commitment to our people and the connections we make in every community. If you are resourceful, collaborative, team-oriented and passionate about delivering consistent excellence, Optimum is the Company for you! We are Optimum! Job Summary We are looking for a highly experienced Lead Data Scientist who thrives on solving complex marketing problems through cutting-edge analytical techniques, with the ability to transform data into actionable insights. Combining the principles of marketing analytics, as well as a solid background in the media and data landscape, this role will be responsible for developing solutions that immediately impact the business. This role requires a deep technical skillset to drive Go-To-Market business decisions and innovation. Responsibilities * In this role, you will use your expertise in data analysis and marketing to develop and implement data-driven strategies that drive business growth. * Developing and executing marketing forecasting strategies, analyzing customer data, measuring media test results, building propensity models, and providing valuable insights to drive informed decision making. * Develop and implement advanced data science models, including clustering, segmentation, random forest, gradient boosting (e.g., XGBoost), ensemble techniques, and constrained optimization methods. * Design and execute matched-pair analyses, predictive analytics, and other statistical approaches to address business challenges. * Evaluate best approaches for testing go to market strategies, execute and measure * Work with large datasets from diverse sources, ensuring data quality and consistency. * Mentor and collaborate with team members to share knowledge and best practices. * Stay current on advancements in data science, tools, and methodologies to bring innovation to the team. Qualifications * Degree in a quantitative discipline, such as Data Science, Applied Mathematics, Statistics, Economics, Operations Research, Computer Science, Mathematics, Physics, Biology, Chemistry or Engineering. An advanced degree, Data Science bootcamp or MOOC certification a plus. * 4-8 years of work experience in media analytics, digital analytics, marketing analytics, or related field. * Experience with analytical techniques such as customer segmentation, campaign targeting and effectiveness, churn propensity modeling, customer lifetime value analysis, credit risk, geospatial analytics, survey statistics, marketing mix modeling, or recommender systems. * Solid knowledge of the digital media landscape as it pertains to advertising platforms (Google, Snap, Meta, Amazon, etc.) as well as the evolving digital data landscape. * Highly skilled in R or Python for statistical and machine learning programming. * Highly skilled in SQL and Python coding to wrangle and explore structured and unstructured data. * Proficient with server or Cloud computing platforms, such as Google Compute Engine or EC2 and data warehouses, such as Oracle, Big Query, or AWS. * Demonstrated ability to handle complex datasets and derive actionable insights. * Excellent communication and collaboration skills to work with cross-functional teams. * Experience deploying models into production environments is highly desirable. At Optimum, we're fueled by our four core pillars: Taking Ownership, Upholding Transparency, Creating Community, and Demonstrating Expertise. Our commitment to empowering employees to take responsibility and embrace proactive problem-solving underpins Taking Ownership. Upholding Transparency is at the core of our culture, with open and honest communication fostering trust among our dedicated team and loyal customers. Creating Community is more than a goal; it's our daily commitment to fostering an environment of collaboration, innovation, and positivity. Demonstrating expertise is a promise we uphold through continuous learning and engagement with our customers to consistently deliver top-quality products and services. These pillars not only shape our culture but define Optimum as a place of excellence, trustworthiness, and thriving community, and we invite you to be a part of our journey. If you have the drive to succeed and are ready to embark on a thrilling career, seize this opportunity today, and join our winning team, so together, we'll shape the future of connectivity. All job descriptions and required skills, qualifications and responsibilities for a particular position are subject to modification by the Company from time to time, in the Company's discretion based on business necessity. We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law. The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law. Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our Fraud FAQ for further details. This position is identified as being performed in/or reporting to company operations in New York State. Salary ranges are supplied in compliance with New York State law. Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in New York is $133,661.00 - $190,944.00 / year. The starting pay rate/range at time of hire for this position in Plano is $111,384.00 * $159,120.00/ year. For other locations, please inquire with your recruiter. The rates/ranges provided herein are the anticipated pay at the time of hire, and do not reflect future job opportunity. Nearest Major Market: Brooklyn Nearest Secondary Market: New York City

Our Firm American Century Investments is a leading global asset manager focused on delivering investment results and building long-term client relationships while supporting research that can improve human health and save lives. Founded in 1958, the firm's 1,400 employees serve financial professionals, institutions, corporations, and individual investors, offering a wide range of investment strategies across a variety of investment disciplines. We are committed to providing institutional-quality, actively managed solutions with a performance-centered mindset. Our expertise spans global growth equity, global value equity, disciplined equity, multi-asset strategies, global fixed income, alternatives, and ETFs. Privately controlled and independent, we focus solely on investment management. This empowers us to align our decisions with client expectations and concentrate on their long-term money management needs. Our culture of winning behaviors exemplifies our dedication to clients every single day. Delivering investment results enables us to distribute over 40% of our dividends-more than $1.8 billion - to the Stowers Institute for Medical Research, a 500-person, non-profit basic biomedical research organization with a controlling interest in American Century Investments. Our dividend payments provide ongoing financial support for the Institute's work of uncovering the causes, treatments, and prevention of life-threatening diseases, like cancer. For more information, please visit americancentury.com. The Sr. Data Scientist on the Client Insights and Analysis Team will serve as a primary insights provider for the Wealth Management business channel. The primary responsibility of the Sr. Data Scientist on the Client Insights and Analysis Team is to work with business decision-makers to identify business issues and objectives, explore data mining and model building opportunities, build statistical models, present analytical results and models, and provide actionable insights. The Sr. Data Scientist on the Client Insights and Analysis Team will act as a senior member of the team who will assist his/her manager in exploring analytical opportunities, consulting on analytical work of the team and being a coach for other team members. Strong entrepreneurial spirit, interpersonal skills, consultation skills, client management skills, and analytical skills are key to the success for the Sr. Data Scientist role on the Client Insights and Analysis team. Major Responsibilities and Accountabilities: Actively participate in client-based cross-functional teams: represent data science profession on client-based cross-functional teams; identify business issues and resulting research needs; participate in client team project planning; fulfill identified team responsibilities: (10%) Consult with decision-makers to identify business objectives, data sources and analytical methodology: work independently or with other analysts to identify and define business issues and goals, convert them into appropriate analytical objectives and strategies. Will explore and understand all internal data sources and will have a clear understanding of methodology behind the analysis and model building: (30%) Provide research design and analysis, engage in data science and model building: based on identified needs, analyze database information or 3rd party data sources in response to data analysis requests. Identify and implement appropriate design and analysis, explore data sources to uncover useful information to help business clients in their decision making. Primarily will use Python and the AWS tech stack (Athena, Sagemaker, Glue, Redshift, etc.) as well as a variety of other data and analysis software. Activities include, but are not limited to: (50%) * Create research design, measurement for clients in business execution * Provide analysis reports and give proper interpretation to clients * Build models to meet clients' objective using available data sources * Report analytical results and recommendations to business clients * Provide support for Client Insights and Analysis team; consult on data science and model building issues * Help team development, be a coach for other analysts * Act as single point of contact for business partner and address their needs with minimal guidance from manager * Responsible for training and maintaining scoring mechanisms that drive our Next Best Action/Lead Management programs including Client Engagement, Interest and Lifetime Value Scoring * Act as data steward for critical Distribution data sets such as those provided by key firm partners Administrative: participate in professional development: (10%) Required Skills: * Ability to work independently and as a member of a team. * Ability to analyze data and translate results into actionable insights. Excellent problem solving skills essential. * Ability to communicate clearly and concisely, both verbally and in written form. * Ability to prioritize work and manage multiple requests concurrently. * Highly motivated self-starter with the ability to determine priorities, to plan, organize and follow through on assignments. Accuracy and attention to detail are essential. * Must be customer focused. * Ability to learn technical software applications and statistical techniques. * Professional attitude and appearance. * Ability to translate business issues into data analysis objectives. * Understands latest techniques in statistical data analysis. Required Experience: * Master's or PhD degree in Statistics, Mathematics, Computer Science, or other analytical related field required. * Excellent problem solving, analytical and quantitative analysis skills. * Experience with Python or other statistical software language/application. * Experience with AWS and its Data Science stack (Sagemaker, Glue, Athena, etc.) * Experience with SQL in data warehouse environment. * Working knowledge of Microsoft Office applications. * Minimum 5 years data analysis experience. * Excellent interpersonal, verbal and written communication skills. * Experience working with senior management in presenting reports/making recommendations. * Models the American Century Investments Winning Behaviors: Client Focused, Courageous and Accountable, Collaborative, Curious and Adaptable, Competitively Driven, Adheres to the highest ethical standards and business practices, and Supports a culture of compliance Preferred: * Knowledge of Financial Services industry or Direct to Consumer, ideally of the Asset Management space. * 5+ years of experience building and implementing statistical models. * 2+ years of experience managing projects, programs or vendors. For New York based candidates, the salary range for this role is $139,000.00 - $167,000.00. All offers are based on various factors including but not limited to a candidate's location, skills, experience, and relevant education and/or training. This position is eligible for cash incentive providing the potential to earn more. Additional Requirements: Employees are required to be in the office on a scheduled frequency. Adherence to this schedule is essential to fulfilling the expectations of the role. American Century Investments is committed to complying with the Americans with Disabilities Act and all other applicable Equal Employment Opportunity laws and regulations. As such, American Century strives to provide a reasonable accommodation to any qualified individual under the ADA to perform essential job functions. American Century Investments believes all individuals are entitled to equal employment opportunity and advancement opportunities without regard to race, religious creed, color, sex, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, gender, gender identity, gender expression, age for individuals forty years of age and older, military and veteran status, sexual orientation, and any other basis protected by applicable federal, state and local laws. ACI does not discriminate or adopt any policy that discriminates against an individual or any group of individuals on any of these bases. #LI-Hybrid 2019 American Century Proprietary Holdings, Inc. All rights reserved.

Welcome to Resideo, where we're on a mission to transform homes into intelligent, efficient, and secure living spaces through the power of IoT-connected devices. As a Senior Data Scientist on our Home Analytics team, you'll play a pivotal role in extracting actionable insights from complex time-series data, making a direct impact on the comfort and safety of homes worldwide. As part of this initiative, we are looking for a Senior Data Scientist to help lead our LifeWhere product through the adoption of state-of-the-art ML methods that improve monitoring accuracy while delivering metrics and intelligence for program operation at scale. You will collaborate with a team of experts to develop predictive models and algorithms that drive innovation in connected home IoT devices. Success in this role comes from marrying a strong data science background with product and business acumen to deliver scalable data products to our internal and external customers. **JOB DUTIES:** + Analyze and interpret complex time series data from connected HVAC systems to build cutting-edge metrics of HVAC performance, generate insights, and create value for our network of pros and homeowners using our IoT solution + Develop methodologies and experiments to continuously improve predictive and machine learning algorithms + Help develop end-to-end process machine learning solutions to support program growth and expansion goals + Working with cross-functional teams, including Product Managers and Software Engineers, identify critical business problems and develop solutions to support data-driven business decisions + Work to democratize data by building and socializing decision tools (e.g., reports, data products, dashboards) **YOU MUST HAVE:** + 8+ years of related industry experience + Experience using Python, R, etc. working with (preferably) time-series data to support data analysis, visualization, exploratory data analysis, feature generation, and model fitting (in addition to other common analysis activities common to machine learning) + Expert in at least one programming language for data analysis (e.g., Python, R), experience with SQL a plus + Strong foundational knowledge in project management with the ability to work in a fast-paced, high-visibility environment + Industry experience with developing and applying machine learning and statistical modeling in at least one of the following categories: Anomaly detection, Image processing (e.g. convolutional neural networks, auto-encoders), or time-series methods **WE VALUE:** + Experience working with Apache Spark (preferably PySpark) + Familiarity with modern ML frameworks and libraries including, deep-learning (e.g., TensorFlow, Keras, or PyTorch), Scikit-learn, Numpy, Pandas, and MLFlow. + Experience with HVAC systems or related industrial applications + Knowledge and experience with Databricks, Jupyter notebooks, Git, AWS or Azure cloud environments + Detail oriented and willing to learn new skills and tools + Experience working with cross-functional teams and an ability to communicate clearly and effectively to technical and non-technical audiences + A continuous learning mindset with a willingness to stay updated with the latest trends and technologies in data science and machine learning. **WHAT'S IN IT FOR YOU:** + Life and health insurance + Life assistance program + Tuition Reimbursement + Retirement plan (Immediate eligibility for 401K) + Vacation & holidays (Enjoy work-life balance) \#LI-EP1 \#LI-Hybrid Resideo is a leading global provider of critical comfort and security solutions primarily in residential environments and distributor of low-voltage electronic and security products. Building on a 130-year heritage, Resideo has a presence in more than 150 million homes, with 15 million systems installed in homes each year. We continue to serve more than 110,000 professionals through leading distributors, including our ADI Global Distribution business, which exports to more than 100 countries from more than 200 stocking locations around the world. Resideo is a $5.0 billion company with approximately 13,000 global employees. For more information about Resideo, please visit http%3A%2F%2F******************* At Resideo, we bring together diverse individuals to build the future of homes. Resideo is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. For more information on applicable U.S. equal employment regulations, refer to the ****************************************************************************************************************************************************** If you require a reasonable accommodation to apply for a job, please use Contact Us form for assistance.

About this role In Gartner's Services Data Science team, we innovate the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way. We are searching for a talented data scientist to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team. What you'll do * Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow. * Using advanced Generative AI techniques deriving actionable insights from unstructured text data, such as call transcripts and emails. * Predicting client interest basis their digital footprint and making relevant recommendations to drive higher client value delivery * Leverage statistical and machine learning techniques to extract actionable insights from client retention data. * Develop customer churn prediction models that proactively identify at-risk clients, * Build tools to process structured and unstructured data * Engineering features and signals to train ML model from diverse data collection What you'll need * BS required/ MS/PhD preferred; in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus) * 4 years' experience in data science methodologies as applied to live initiatives or software development * Minimum 4+ years of experience in python coding and statistical analysis * Minimum 2 years working experience in several of the following: o Prompt Engineering and working with LLMs o Machine Learning and statistical techniques o Data mining and recommendation systems o Natural Language Processing and Information Retrieval o Experience working with large volumes of data o User behavior modeling Who you are * A team player. You get along well with your colleagues and are always ready to help get things done. You enjoy working on projects with multiple people and share knowledge. * Passionate about learning. You thrive on complex technical challenges and are always eager to learn the latest technologies. * Organized and detailed-oriented. You think ahead of time about how best to implement new features, and your code is clean, well-organized and properly documented. * Innovative. You are always proactively looking for opportunities to problem solve using innovative methods that impact the business What we offer * A collaborative, positive culture. You'll work with people who are as enthusiastic, smart and driven as you are. You'll be managed by the best too. * Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization. About Gartner: Gartner, Inc. (NYSE: IT) is the world's leading information technology research and advisory company. We deliver the technology-related insight necessary for our clients to make the right decisions, every day. We work with every client to research, analyze and interpret the business of IT within the context of their individual role. Founded in 1979, Gartner is headquartered in Stamford, Connecticut, U.S.A - Visit gartner.com to learn more. Diversity, inclusion and engagement at Gartner: The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, caste, creed, religion, sex, sexual orientation, gender identity or expression, marital status, citizenship status, age, national origin, ancestry, disability, or any other characteristic protected by applicable law. Gartner affirmatively seeks to advance the principles of equal employment opportunity and values diversity and inclusion. Gartner is an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified applicant with a disability and unable to or limited in your ability to use or access the Gartner's career webpage as a result of your disability, you may request reasonable accommodations by calling Human Resources at ************** or by sending an email to Applicant.Assistance@gartner.com #LI-Hybrid #LI-GV1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to more than 20,000 associates globally who support ~15,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 96,000 USD - 131,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at ***************** or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:94311 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: ************************************************* For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Trexquant is a growing systematic fund manager with a core team of highly accomplished technologists. We apply a wide variety of statistical and machine learning techniques to build investment portfolios and trade our client assets in global equity and futures markets. With locations in the US, China and India, our global team in excess of 50 employees is comprised primarily of research professionals with advanced science, math and technology degrees who explore the universe of quantitative methods for opportunities to enhance and adapt our platform and profit in an exciting and dynamic environment. We are seeking a dedicated and detail-oriented Data Engineer to join our team. The primary goal of this team is to assist researchers in writing, downloading and reading scripts, effectively translating their ideas into data variables for trading purposes. The ideal candidate will have a strong background in data engineering, excellent scripting skills, and a keen understanding of financial data and trading strategies. Responsibilities Collaborate with researchers to understand their data requirements and trading strategies. Develop and maintain scripts for downloading, reading, and processing data from various sources. Ensure data accuracy, consistency, and reliability by implementing quality control measures. Optimize data retrieval processes for efficiency and performance. Assist in the integration of new data sources and formats into the existing data infrastructure. Provide technical support and troubleshooting for data-related issues. Document data workflows, processes, and scripts for future reference and knowledge sharing. Stay updated with industry trends and advancements in data engineering and financial data. Requirements A degree in a technical discipline (computer science, mathematics, statistics, physics, etc.) 1+ years of experience in Python as used in data capacity Experience in financial services and working with financial data providers is a plus Ability to work independently and take projects to completion, quickly learn new systems, think creatively and pay attention to details Benefits Competitive salary plus bonus bonus based on individual and company performance Collaborative, Casual, and friendly work environment PPO Health, dental and vision insurance premiums fully covered for you and your dependents Pre-tax commuter benefits Weekly company meals

This is not a remote work opportunity. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1's working on EAD for this position. Are you ready to drive and shape the future of Ericsson Silicon's Verification analytics and data-driven insights? Join our dynamic Design Verification Methodology team, dedicated to defining cutting-edge metric-driven methodologies and dashboarding solutions across our global R&D sites in Austin, Stockholm, and Lund. About Us We are part of Ericsson Silicon, an engineering unit that develops state-of-the-art ASICs and FPGAs targeting the newest technology nodes for Ericsson's 5G telecommunication portfolio. This department offers many opportunities for career growth and access to a large knowledge base. What you will do: To excel in this high-visibility role, we seek individuals with a background in ASIC IP/ASIC SoC development, data science, and dashboarding. You will play a crucial role in shaping data-driven methodologies that help silicon IP engineers track Coverage metrics, Functional Coverage pass/fail rates, EDA tool efficiency, and verification progress, ensuring a holistic view of ASIC SoC health. A key focus is on building scalable metric systems, integrating AI/ML techniques for predictive analytics, and visualizing workload throughput across compute clusters and EDA tools * Design and implement Silicon DV metric systems to track and visualize: Coverage and Functional Coverage (pass/fail rates, closure status). Workload Throughput (runtime, memory usage, compute efficiency, and job scaling). EDA Resource Utilization (license usage, peak load analysis, and bottleneck detection). Other key KPI to measure and track Silicon Design and Verification status * Develop interactive dashboards for real-time monitoring of verification progress and EDA tool performance. * Create AI/ML-driven analytics for predictive workload optimization and resource allocation insights. * Automate data collection and transformation from EDA tools, compute clusters, and job schedulers. * Integrate metric systems into CI/CD workflows, enabling data-driven decision-making for IP/ASIC/SoC verification teams. * Collaborate with silicon engineers to improve compute scheduling, license efficiency, and verification throughput. * Establish best practices for data visualization, reporting, and engineering decision support. What you will bring: * Strong expertise in data science, analytics, and visualization tools (e.g., Python, Pandas, NumPy, Jupyter, Tableau, Grafana). * Experience with EDA tool monitoring (e.g., Synopsys VCS, Cadence Xcelium, Siemens Questa, JasperGold, Verdi). * Proficiency in SQL, NoSQL databases, and scalable data pipeline development. * Knowledge of AI/ML frameworks for predictive analytics in EDA workloads. * Familiarity with compute cluster resource monitoring (e.g., Slurm, LSF, Kubernetes). * Hands-on experience with runtime and memory profiling for verification workloads. * Understanding of CI/CD tools like Jenkins, GitLab, Docker, Kubernetes. * Strong programming skills in Python, Bash, Perl, or similar scripting languages. * Effective communication and ability to present data-driven insights to engineering teams. Why Join Us? * Be part of a high-impact team transforming silicon verification with data science and AI. * Work on cutting-edge analytics and visualization tools for EDA workload monitoring and optimization. * Shape data-driven verification methodologies for global engineering teams. * Collaborate with world-class experts in semiconductor R&D. base pay range $175,000 to $210,000 What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Notice of Job Opportunity - Legal Notices for PERM We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at *************************** DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: USA || Austin, TX Job details: Developer Primary Recruiter: Jim Everett

The world around us is changing. Retail is in a state of major transition, and consumers have more options than ever. As a leading provider of global information and advisory services, NPD is at the forefront of helping our clients, the world's biggest brands and retailers understand and profit from these changes. Since 1966, we have been helping businesses track industry trends and understand their customers in order to get the right products in the right places for the right people at the right prices. We serve more than a dozen industries including consumer electronics, entertainment, fashion, food / foodservice, toys, video games, and more. We want to lead manufacturers and retailers on collaborating via the effective use of our information in line reviews and joint business planning. Job Description NPD group is looking for a principal data scientist on both the engineering side and the analytics side of data science. This position resides in the Global Data Quality Management group. He or she will combine the skills to create new prototypes with the creativity and thoroughness to interrogate the most challenging questions about data quality, which is at the center of NPD's value creation for our clients. This is a leadership position and will require superior ability to quickly gather information and requirements from stakeholders, formulate solution, and implement the solution within the data quality groups. This position will interact frequently with senior leadership teams and will direct and manage the work of junior data scientists. Qualified candidates will have a strong academic background in mathematics, statistics, computer science, operational research, economics, and other highly quantitative disciplines, passion about data science and machine learning and experience with big data architecture and methods. Overall Responsibilities: Drive the creation of new data quality management capabilities that will bring significant operational efficiency. Conceptualize, analyze and develop actionable recommendations best practices in data quality processes Work with key stakeholders and understand their needs to develop new or improve existing solutions around data quality. Manage data analysis to develop fact-based recommendations for innovation projects. Work with cross-functional teams to develop ideas and execute business plans. Remain current on new developments in data quality Qualifications 8+ years' experience in modeling and predictive analytics with experience working with recommendation engine Excellent problem solving skills with the ability to design algorithms, which may include data profiling, clustering, anomaly detection, and predictive modeling methodologies Strong skills in statistical analyses with abilities in advanced data management and statistical programming using SAS, R, and other languages Familiarity with Agile methodology Ability to work cross-functionally in a highly matrix driven organization under ambiguous circumstances Broad understanding and experience of recommendation engine Personal qualities desired: creativity, tenacity, curiosity, and passion for deep technical excellence Advanced degree in a quantitative field (Statistics, Mathematics, Economics, etc.), PhD highly preferred. Additional Information *NPD is an EQUAL EMPLOYMENT OPPORTUNITY/AFFIRMATIVE ACTION EMPLOYER.

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Analyse and identify the linkages and interactions between the component parts of an entire system. + Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. + Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. + Develop skills outside your comfort zone, and encourage others to do the same. + Effectively mentor others. + Use the review of work as an opportunity to deepen the expertise of team members. + Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. + Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. **Minimum Degree Required** Bachelor's Degree **Minimum Year(s) of Experience** 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: + Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients + Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach + Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases + Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds + Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases + Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; + Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; + Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; + Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps + Structuring, write, communicate and facilitate client presentations; and, + Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: + Managing GenAI application development teams including back-end and front-end integrations + Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); + Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization + Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev + Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms + Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: ***********************************

1. Extract huge volumes of data from multiple internal and external sources. 2. Conduct undirected research and frame open-ended industry questions. 3. Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling. 4. Thoroughly clean and prune data to discard irrelevant information. 5. Explore and examine data from a variety of angles to determine hidden weaknesses, trends and/or opportunities. 6. Devise data-driven solutions to the most pressing challenges. 7. Invent new algorithms to solve problems and build new tools to automate work. 8. Communicate predictions and findings to management and IT departments through effective data visualizations and reports. 9. Utilize real-time data streams to generate predictive and prognostic analytical outputs. Required Education and Experience Bachelors' degree in computer science, mathematics or a related subject and six years of experience, or an equivalent combination of education and experience. Background Check Requirements All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website. Position Focus: The Lillian Goldman Law Library at Yale Law School seeks an inquisitive and collaborative Legal Data Scientist to meet the growing demand for supporting social scientific research and inquiry at Yale Law School. This position provides project-based support and consultation services for Law School student and faculty researchers throughout the entire research lifecycle. The Legal Data Scientist will enhance local capacity to create, maintain, and promote research-ready data deliverables and help raise scientific standards for empirical legal research. The Legal Data Scientist will work closely with researchers, research support specialists, students, and librarians at the Law School and around Yale University to deliver responsive and accurate data support services that meet local research needs. As such, the position involves staying informed of developments in research data management, research design, data analysis, and computational social science. This role presents an exciting opportunity to contribute to the scholarly and pedagogical mission of Yale Law School, empowering students, and faculty to produce compelling, transformative, and innovative research at a high scientific standard. Yale Law School Data Services supports law faculty, students, and staff in producing transparent research, transforming data into information, and sharing reusable data. The Lillian Goldman Law Library is a strategic asset to Yale Law School and Yale University, advancing intellectual discovery, information literacy, and lifelong learning, all in support of the University's strategic goals in scholarship, education, preservation, and practice. The Legal Data Scientist works collaboratively with Law Archive Co-administrators and technology partner, the Center for Open Science in the management of the Law Archive open access legal scholarship repository. Collaborates with other Yale Library and University data interest groups. Responsibilities: Generate analysis-ready datasets from multiple input sources and data types, including websites, electronic documents, social media posts, APIs, and tabular datasets. Develop and maintain APIs and other programming functions to automate the collection and management of frequently used research data sources. Perform descriptive analyses and interpret results using a combination of tables, graphics, and text for both non-technical and expert audiences. Leverage web-based data applications and visualizations to promote broad discoverability and engagement with ongoing research projects and programs across the Yale Law School research community. Develop and organize introductory and advanced workshops, courses, and other educational programming on topics related to empirical legal research and social science research methods. Supervise and direct the performance of student research assistants and/or consultants. Engage in research, scholarly publication, and professional service activities in areas related to core responsibilities. Complete other administrative and research duties as assigned. Preferred Education, Experience and Skills: Advanced degree (M.A./M.S. or Ph.D.) in computer/data science or applied social science. Familiar with social scientific research methods. Experienced in legal information, American legal system, Stata, econometric research, and sensitive data. Skilled in developing/delivering curriculum. Proficient in virtual machines and cloud-based environments (e.g., Azure, AWS). Posting Disclaimer The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the particular position. Employees will be assigned specific job-related duties through their hiring departments.

About this role In Gartner's Services Data Science team, we innovate the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way. We are searching for a talented data scientist to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team. What you'll do · Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow. · Using advanced Generative AI techniques deriving actionable insights from unstructured text data, such as call transcripts and emails. · Predicting client interest basis their digital footprint and making relevant recommendations to drive higher client value delivery · Leverage statistical and machine learning techniques to extract actionable insights from client retention data. · Develop customer churn prediction models that proactively identify at-risk clients, · Build tools to process structured and unstructured data · Engineering features and signals to train ML model from diverse data collection What you'll need · BS required/ MS/PhD preferred; in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus) · 4 years' experience in data science methodologies as applied to live initiatives or software development · Minimum 4+ years of experience in python coding and statistical analysis · Minimum 2 years working experience in several of the following: o Prompt Engineering and working with LLMs o Machine Learning and statistical techniques o Data mining and recommendation systems o Natural Language Processing and Information Retrieval o Experience working with large volumes of data o User behavior modeling Who you are · A team player. You get along well with your colleagues and are always ready to help get things done. You enjoy working on projects with multiple people and share knowledge. · Passionate about learning. You thrive on complex technical challenges and are always eager to learn the latest technologies. · Organized and detailed-oriented. You think ahead of time about how best to implement new features, and your code is clean, well-organized and properly documented. · Innovative. You are always proactively looking for opportunities to problem solve using innovative methods that impact the business What we offer · A collaborative, positive culture. You'll work with people who are as enthusiastic, smart and driven as you are. You'll be managed by the best too. · Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization. About Gartner: Gartner, Inc. (NYSE: IT) is the world's leading information technology research and advisory company. We deliver the technology-related insight necessary for our clients to make the right decisions, every day. We work with every client to research, analyze and interpret the business of IT within the context of their individual role. Founded in 1979, Gartner is headquartered in Stamford, Connecticut, U.S.A - Visit gartner.com to learn more. Diversity, inclusion and engagement at Gartner: The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, caste, creed, religion, sex, sexual orientation, gender identity or expression, marital status, citizenship status, age, national origin, ancestry, disability, or any other characteristic protected by applicable law. Gartner affirmatively seeks to advance the principles of equal employment opportunity and values diversity and inclusion. Gartner is an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified applicant with a disability and unable to or limited in your ability to use or access the Gartner's career webpage as a result of your disability, you may request reasonable accommodations by calling Human Resources at ************** or by sending an email to Applicant.Assistance@gartner.com #LI-Hybrid #LI-GV1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to more than 20,000 associates globally who support ~15,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 96,000 USD - 131,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at ***************** or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:94311 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: ************************************************* For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.