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Marsh & McLennan Companies, Inc.Chicago, IL

Boston, New York, Toronto Sr. Lead Data Engineer ____ WHO WE ARE Oliver Wyman Digital is a ground-breaking division within Oliver Wyman delivering world-class solutions to give our clients a competitive edge. We work across the full technology stack from databases and analytics to APIs and web and mobile applications. With a mixture of over 300 consultants, specialists and support professionals in 16 major cities across the world, we're committed to growth that retains our start-up agility while expanding our opportunities for world-class work. ____ THE ROLE AND RESPONSIBILITIES No two OW Digital projects are the same. You'll be working with varied and diverse teams to deliver unique and unprecedented products across industries. The Sr. Lead Data Engineer will serve as a keystone on our larger projects, enabling us to deliver solutions hand-in-hand with consultants, data science specialists, and software engineers. The Data Engineer is the universal translator between IT, business, software engineers, creative designers, behavioral science, and Data Scientists, working directly with clients and project teams. S/he works to understand the business problem being solved, the data required to do so, and the tools to make the data impactful. As a Sr. Lead Data Engineer, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered by a multi-disciplinary team of OW Digital specialists and consultants. Your responsibilities will include, for example: Understanding the overall problem being solved and what flows into it Building tools, platforms, and pipelines to enable teams to clearly and cleanly analyze data, build models, and drive decisions Lead and mentor a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement Determining and fulfilling functional and non-functional requirements while ensuring alignment with budgetary and financial objectives Scaling up from "laptop-scale" to "cluster scale" problems, in terms of both infrastructure and problem structure and technique Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases Engage with stakeholders across various levels to ensure project alignment and manage expectations effectively Collaborating with clients to understand, advise, and recommend on strategic sourcing (internal versus external) Joining colleagues in an Oliver Wyman office or client site at least 50% of the time to collaborate and learn ____ YOUR EXPERIENCE You are a well-rounded delivery-minded technologist who brings a wealth of real-world experience with: You are a well-rounded technologist who brings a wealth of real-world experience and a: Technical background in computer science, software engineering, database systems, distributed systems Familiarity with statistics, data science, and machine learning A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value Proven ability to design scalable architecture tailored to client requirements, ensuring alignment with budgetary constraints, project timelines, and financial objectives through effective trade-off analysis Expertise in applying best practices for various data architectures (e.g., event-driven, batch, real-time data integrations) focusing on efficient solutions that meet project needs without unnecessary complexity. Direct experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scale Ability to context-switch, to provide support to dispersed teams which may need an "expert hacker" to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value An 'engineering' mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access Fluency with distributed and cloud environments and a deep understanding of how to balance computational considerations with theoretical properties Use of agile and DevSecOps practices for project management and software delivery Demonstrated expertise building backend services with some of the following common languages and tools: Pandas, Scikit-Learn, Matplotlib, TensorFlow, Jupyter and other Python data tools Spark (Scala and PySpark), HDFS, Kafka and other high volume data tools SQL and NoSQL database technologies, such as MySQL, Postgres, Cassandra, MongoDB and ElasticSearch Interest/background across sectors (e.g, Financial Services; Health and Life Sciences; Consumer, Retail, Energy, or Transportation) A minimum of 6+ years of experience as a data engineer ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don't care whether you're loud or quiet, funny or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program Willingness to be agnostic to a variety of programming languages (e.g. Python, Java, C#, GoLang) and technical stack based on client requirements A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients' problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel ____ OUR VALUES & CULTURE We're serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 "Best Companies to Work For", and you get a rewarding combination of challenge, support and recognition. Progressive employment Flat organizational structures, resolute I&D values and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. We are committed to providing our people with growth opportunities via professional training, personal development, and diverse roles and responsibilities. Enjoyable days We want our team members to build a career here-and to be happy. That makes us serious about caring for, mentoring, developing and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you've read, we'd love to hear from you. You can submit your CV on our site -please include a short email introducing yourself and what you're looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse. ____ About Oliver Wyman Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com. Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $195-$240k. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

Posted 3 days ago

Clinical Research Data Specialist

University Of Miami Miller School Of MedicineDeerfield Beach, FL

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. The University of Miami/UHealth Department of SCCC has an exciting opportunity for a Full Time Hybrid Clinical Research Data Specialist to work at the UHealth Medical campus in Miami, Fl CORE SUMMARY The Clinical Research Data Specialist assists in creating, updating, and maintaining research charts and case report forms, including regulatory related issues, in accordance with department standard operating procedures, under the supervision of the Principal Investigator (PI) and supervisor. The Clinical Research Data Specialist is responsible for the compilation, registration and submission of data, monitoring compliance with the protocol, adherence to SOPs, and all applicable regulations and guidelines. CORE JOB FUNCTIONS Extracts clinical data and research data from electronic medical records and other sources and enters this data in the clinical paper-based or electronic data capture system for each assigned study. Manages a workload of studies commensurate to level of experience Answers data clarifications (i.e. data queries) for each study. Schedules and meets with study monitors and assures patient cases are ready for each monitor visit and items are addressed after each monitoring visit. Develops source data worksheets specific to each assigned study. Assures clinical issues from monitoring reports are addressed and closed out before the next monitoring visit. Assures all study requirements are documented and meet both internal and external regulations in accordance with protocol guidelines. Maintains logs (i.e. TAS submissions, Velos etc.) in a timely manner according to department SOPs. Participates in site initiation visits (SIV), monitoring visits and participates in site disease group (SDG) team and PI oversight meetings as required. Assists multidisciplinary team in research activities. Maintains study binders and filings according to protocol requirements and department policy. Adheres to all UM and department policies and procedures. Compiles patient data for Investigator review to determine patient eligibility for protocol enrollment. Maintains screening, enrollment, adverse event, deviation, tumor measurement, concomitant medication, delegation and other sponsor and/or protocol specific logs. Ensures work environment is organized and functions efficiently. Participates in a collaborative, empowered work environment as demonstrated through teamwork. Demonstrates a level of professional practice that supports the delivery of appropriate care and positive working relationships throughout the medical center. 16. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: High school diploma or equivalent Experience: No experience required Knowledge, Skills and Attitudes: Skill in completing assignments accurately and with attention to detail. Ability to analyze, organize and prioritize work under pressure while meeting deadlines. Ability to process and handle confidential information with discretion. Ability to work evenings, nights, and weekends as necessary. Commitment to the University's core values. Ability to work independently and/or in a collaborative environment The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A6

Posted 30+ days ago

Data Lead

Marsh & McLennan Companies, Inc.Greenville, SC

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. The industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as a Data Lead at MMA. Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As the Data Lead, you will be at the forefront of our data strategy, responsible for overseeing the collection, management, and analysis of data across MMA. In this role, you will establish best practices for data governance and ensure that our data initiatives align with business objectives, driving insights and informed decision-making throughout the organization. You will collaborate closely with cross-functional teams, including IT and operations, to identify data needs and translate them into actionable strategies. Your leadership will be crucial in guiding your team through the entire data lifecycle, from data acquisition and cleaning to analysis and reporting. In addition to mentoring and empowering your team, you will foster a culture of data-driven decision-making and continuous improvement. Staying abreast of emerging technologies and industry trends, you will evaluate new tools and methodologies to enhance our data capabilities and drive operational efficiency. Our future colleague. We'd love to meet you if your professional track record includes these skills: Leadership Experience: Proven experience leading data management and analytics teams, with a focus on delivering high-quality insights and solutions that drive business impact. Enterprise Data Understanding: High-level understanding of enterprise data needs, along with a general knowledge of data architecture to facilitate collaboration with IT. Data Governance Expertise: Strong knowledge of data governance frameworks, data quality standards, and best practices in data management to ensure compliance and data integrity. Analytical Tools Proficiency: Experience with data analytics tools and programming languages (e.g., SQL, Python, R), as well as familiarity with data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights. Stakeholder Collaboration: Ability to collaborate with both technical and non-technical stakeholders, effectively communicating complex data concepts and analytical findings in a clear and actionable manner. Modern Data Technologies: Proficiency in modern data storage technologies (e.g., SQL, NoSQL) and experience with cloud data platforms (e.g., AWS, Azure) to leverage scalable data solutions. Problem-Solving Skills: Strong problem-solving skills, with a proven track record of identifying and resolving complex data challenges to enhance operational efficiency. Data Standards and Security: Experience in establishing and enforcing data standards, security protocols, and performance benchmarks to protect organizational data assets. Continuous Improvement Mindset: A commitment to fostering a culture of continuous improvement and data-driven decision-making within the organization, encouraging team members to innovate and refine processes. These additional qualifications are a plus, but not required to apply: Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field; Master's degree preferred. 15+ years of experience in data management, analytics, or a related field, with a focus on leadership roles. We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out our website or flip through recruiting brochure. Follow us on social media to meet our colleagues and see what makes us tick: Instagram Facebook X LinkedIn Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $119,500 to $209,200. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: June 16, 2025

Posted 5 days ago

SA Portfolio Data Management Analyst

Robert Half InternationalSan Ramon, CA

Robert Half, one of FORTUNE's World's Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Portfolio Data Management Analyst to join the Strategic Accounts (SA) operational support department. The department is responsible for ensuring that new staffing contracts signed between Robert Half and larger enterprise clients (i.e., Strategic Accounts, Regional Accounts, National Technology Accounts, Protiviti, Public Sector, and Private Equity) are accurately set up in back-office systems, and that staffing professionals in the field have the necessary information to engage with clients. The Portfolio Data Management Analyst will be responsible for coordinating and setting up client contracts, and identifying subsidiaries and affiliates within Salesforce for billing, marketing, compliance, and revenue recognition. This role requires strong project coordination capabilities as the Portfolio Data Management Analyst will be working cross-functionally with internal customers from the point of implementation through the full lifecycle of accounts. What You'll Do Create and maintain key contract data within Salesforce for SA clients, with a full life cycle approach from implementation to completion. Data includes, but not limited to, marketing, billing, compliance, sales credit allocation, account ownership, account target list and revenue recognition. Utilize strong research skills with tools such as D&B Hoovers, PitchBook, and Salesforce to identify client locations for implementation and account maintenance. Capable of working with large sets of data within Excel while utilizing VLOOKUPS, PivotTables, and basic excel formulas. Will simultaneously handle multiple job-related tasks and requires strong coordination and prioritization skills to independently manage end-to-end with minimal supervision. Must monitor and report on the progress of job-related tasks and functions in a structured manner, highlighting any deviations from the schedule and potential risks to contract implementation. Responsible for coordinating with but not limited to stakeholders from Robert Half teams such as: branches, billing, credit, time entry and payroll for candidate transitions to MSP accounts. Ability to QA Salesforce contract data and work with internal stakeholders, addressing variations and providing solutions to output an error free product. Facilitate issue resolution of SA contract terms relating to account setup. Provide assistance on special projects as needed in support of SA, and field initiatives that impact the implementation process. Collaborate with department peers, such as but not limited to: SA Contract Implementation Managers, Compliance, Pricing, Credit, Billing, Time Entry, Strategic Account VPs, and front office Services teams relating to client contract data. What You'll Need Bachelor's degree in Business Management desired; however, a focus in Business Analysis or Data Analysis is preferred but not required. Other relevant degrees will be considered. 1+ years of experience in a Data Analysis, Business Analysis, Project Coordinator, or related role. Proficient in Excel, with a focus on leveraging basic formulas such as VLOOKUP, basic functions, PivotTables needed. Working knowledge of nested Excel formulas for data analysis and report creation preferred but not required. Previous exposure to Power Query, Domo, SmartSheets is preferred but not required. Knowledge of how to extrapolate and analyze data from databases such as DOMO, Tableau or SQL preferred but not required. Experience with Salesforce, PitchBook, and Hoovers, preferred, but not required. Ability to learn new software packages and in-house systems as business need arises. Strong project coordination and organizational skills with the ability to move from one system to the next in a timely fashion. Solid analytical and problem-solving skills. Hold excellent written, verbal, and interpersonal skills, with the ability to communicate with teams and staff at all levels. Must be very detail oriented with the ability to demonstrate a high level of accuracy working within various software packages and database systems. The typical annual salary range for this position is shown below and is negotiable depending upon experience and location. $48,000.00 - $73,000.00 We offer exceptional earning potential and a competitive benefits package, including group health insurance benefits (medical, vision, dental), FSA and HSA healthcare accounts, life and accident insurance, adoption and fertility assistance, paid parental leave of up to 6 weeks, and short/long term disability. Robert Half provides paid time off for vacation, personal needs, and sick time. The amount of Choice Time Off (CTO) our people receive varies based on their years of service and is pro-rated based on the hours worked per week. A new hire earns up to 17 days of CTO per calendar year. Our people also receive up to 11 paid holidays per calendar year. We also offer the opportunity to contribute to our company 401(k) savings and investment plan or deferred compensation plan (if eligible), with an employer match of 100% on the first 3% of your contributions for eligible employees. Learn more at roberthalfbenefits.com/Resources. Robert Half Inc. is an Equal Opportunity Employer. M/F/Disability/Veteran As part of Robert Half's Corporate Services facility employment process, any offer of employment is contingent upon successful completion of a background check. Robert Half is committed to being an equal employment employer offering opportunities to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us by sending an email to HRSolutions@roberthalf.com or call 1.855.744.6947 for assistance. In your email please include the following: The specific accommodation requested to complete the employment application. The location(s) (city, state) to which you would like to apply. For positions located in San Francisco, CA: Robert Half will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. For positions located in Los Angeles County, CA: Robert Half will consider for employment qualified applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Posted 30+ days ago

Data Lead

Clark InsuranceIndependence, MO

Company: Marsh McLennan Agency Description: Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. The industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as a Data Lead at MMA. Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As the Data Lead, you will be at the forefront of our data strategy, responsible for overseeing the collection, management, and analysis of data across MMA. In this role, you will establish best practices for data governance and ensure that our data initiatives align with business objectives, driving insights and informed decision-making throughout the organization. You will collaborate closely with cross-functional teams, including IT and operations, to identify data needs and translate them into actionable strategies. Your leadership will be crucial in guiding your team through the entire data lifecycle, from data acquisition and cleaning to analysis and reporting. In addition to mentoring and empowering your team, you will foster a culture of data-driven decision-making and continuous improvement. Staying abreast of emerging technologies and industry trends, you will evaluate new tools and methodologies to enhance our data capabilities and drive operational efficiency. Our future colleague. We'd love to meet you if your professional track record includes these skills: Leadership Experience: Proven experience leading data management and analytics teams, with a focus on delivering high-quality insights and solutions that drive business impact. Enterprise Data Understanding: High-level understanding of enterprise data needs, along with a general knowledge of data architecture to facilitate collaboration with IT. Data Governance Expertise: Strong knowledge of data governance frameworks, data quality standards, and best practices in data management to ensure compliance and data integrity. Analytical Tools Proficiency: Experience with data analytics tools and programming languages (e.g., SQL, Python, R), as well as familiarity with data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights. Stakeholder Collaboration: Ability to collaborate with both technical and non-technical stakeholders, effectively communicating complex data concepts and analytical findings in a clear and actionable manner. Modern Data Technologies: Proficiency in modern data storage technologies (e.g., SQL, NoSQL) and experience with cloud data platforms (e.g., AWS, Azure) to leverage scalable data solutions. Problem-Solving Skills: Strong problem-solving skills, with a proven track record of identifying and resolving complex data challenges to enhance operational efficiency. Data Standards and Security: Experience in establishing and enforcing data standards, security protocols, and performance benchmarks to protect organizational data assets. Continuous Improvement Mindset: A commitment to fostering a culture of continuous improvement and data-driven decision-making within the organization, encouraging team members to innovate and refine processes. These additional qualifications are a plus, but not required to apply: Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field; Master's degree preferred. 15+ years of experience in data management, analytics, or a related field, with a focus on leadership roles. We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out our website or flip through recruiting brochure. Follow us on social media to meet our colleagues and see what makes us tick: Instagram Facebook X LinkedIn Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $119,500 to $209,200. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: June 16, 2025

Posted 3 days ago

Director of Data & Analytics

Blue Wheel MediaRochester Hills, MI

Blue Wheel is a modern omni-channel digital commerce agency, delivering services “from click to ship.” We support brands with a full spectrum of capabilities—front-end digital marketing and creative production through to back-end fulfillment and logistics—across DTC, e-retail, and marketplaces. Our proprietary tech platform, Companion, powers our performance-driven approach and differentiates us in the digital commerce ecosystem. Your Role: We’re looking for a Director of Data & Analytics to lead our data strategy, tech stack integration, and performance insight across Blue Wheel’s marketing and commerce ecosystem. This role sits at the intersection of strategy, technology, and business growth—responsible for transforming complex data into actionable insights that elevate performance for our clients and our agency. You’ll lead a team of analysts and data engineers, oversee our analytics tech infrastructure, and act as a strategic partner to our executive, media, strategy, and client services teams. Data Strategy & Tech Leadership - Own Blue Wheel’s data architecture and analytics roadmap across internal operations and client engagements. - Design and scale measurement frameworks, attribution models, and reporting automation systems. - Lead implementation and governance of tracking technologies (GTM, pixels, APIs, etc.). - Evaluate and implement advanced analytics platforms (e.g., Power BI, Tableau, Datorama, BigQuery, Alteryx, Python-based tools), data sources, and other tech relevant to clients’ business. Insights & Performance Optimization - Translate raw data into strategic recommendations to improve media, creative, and commerce performance. - Guide the development of dashboards, reports, and forecasting models to support decision-making. - Drive test-and-learn frameworks, A/B testing, and media mix modeling across full-funnel campaigns. - Deliver sophisticated analytics on lifetime value (LTV), retention, audience segmentation, customer journeys, and multi-touch attribution. Team Building & Leadership - Hire, mentor, and develop a high-performing team of analysts and data professionals. - Establish a culture of curiosity, experimentation, and innovation across data disciplines. - Partner with cross-functional leads to foster data fluency and embed analytics into daily operations. Client & Business Impact - Serve as a senior strategic advisor to clients and internal teams. - Lead analytics strategy for new business pitches, translating complex insights into persuasive storytelling. - Identify opportunities for revenue growth through new tools, services, or data monetization strategies. What You Bring - 10+ years in digital marketing analytics, data science, or marketing technology leadership—preferably in a media agency, market research, or consulting company setting. - Deep knowledge of digital campaign performance tracking across paid search, social, marketplaces, and ecommerce platforms in both DTC and B2B settings. - Proven experience with analytics systems including GA4, GTM, Looker Studio, Power BI, Datorama, SQL, and BigQuery. - Demonstrated understanding of Audience work, and value of 1/2/3PD + use cases across strategy, activation, measurement. - Experience with cross-channel measurement and attribution. - Track record of building and leading high-performing data teams and analytics functions. - Strong command of statistical methods, experimental design, and data storytelling. - Exceptional communication and stakeholder management skills—comfortable presenting to C-suite and clients alike. - Strategic thinker with hands-on capabilities and a bias toward action and innovation. Why Join Blue Wheel? - Be a key player in an agency that’s redefining digital commerce with end-to-end capabilities and proprietary tech. - Work in a high-growth environment where data drives strategy, creative, and client success. - Collaborate with industry leaders, visionary brands, and a team that values ambition, creativity, and results. Ready to make an impact? Apply now and help shape the future of data-driven digital commerce at Blue Wheel.

Posted 30+ days ago

Senior Engineer, Data Acquisition

Zus HealthBoston, MA

Who we are Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around. We are seeking a senior engineer to join our Data Acquisition (DA) team. Engineers at Zus have the opportunity to collaborate with our founding product and engineering leaders to bring our vision to the nation’s healthcare entrepreneurs. This team is responsible for collecting health data from a broad range of internal and external sources and making that data useful for users of the Zus platform. The engineer joining this team will help build tools that interact with external health data networks to collect information about our patients and load it into the Zus data stores at high volume, as well as services used by customers and internal stakeholders to request that data. The ideal candidate will be excited to take on the challenge of unifying diverse health care data sources to bring a clear picture of patient needs to our customers in ways that the developers of said data sources never thought or cared about You will work on data pipelines that operate on large scale data using a variety of AWS services (Step Functions, Lambda, DynamoDB, S3, etc). You will also work on RESTful services that are used both internally and externally. Go is our language of choice, although we also have some components written in NodeJS. The team is responsible for deploying, maintaining, and operating its pipelines and services. As part of our team you will... Build complex data pipelines Build microservices connecting to third party APIs Provide technical leadership, contributing to the architecture and design of the teams systems Coach others to become better engineers Partner with product managers and other Zusers You're a good fit because you... Are scrappy and you move fast Have experience with operationally stable and cost efficient data pipelines Enjoy owning your work and seeing it deploy safely in production Have experience building backend software in any language (we use mostly Go with a bit of Node) Have some experience with at least one of the following: deployment technologies (Github actions, CodeDeploy, CircleCI), cloud providers (AWS, Azure, GCP)), and Infrastructure as Code (Terraform, CloudFormation, Chef) Are excited to ~ finally! ~ enable a true digital revolution in healthcare Thrive amid the changing landscape of a growing and evolving startup Enjoy collaboration and solving unique problems Are in the Boston metro and excited to collaborate in person on a hybrid schedule, or are remote (EST/CST) but willing to travel for in person collaboration occasionally. It would be awesome if you were... Experienced in building and running large-scale systems in the cloud Experienced in building services and APIs used by third-party developers Knowledgeable about application security Experienced in working with healthcare data and APIs Familiar with the FHIR and/or TEFCA standards We will offer you… • Competitive compensation that reflects the value you bring to the team a combination of cash and equity • Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO • Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it) Please Note: Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current healthcare system with their unique experiences. We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People & Talent, over video interviews. Job scams do exist so please be careful with your personal information.

Posted 30+ days ago

Data Annotation Specialist - Arlington, VA

Figure Eight FederalArlington, VA

Figure Eight Federal (F8F): Leading the Future of AI Training Data Figure Eight Federal (F8F) is the FOCI mitigated arm of Appen (APXYY) focused on the U.S. defense and intelligence sector. As a global leader in the development and optimization of AI training data, F8F sets the standard for innovation in quality, efficiency, and scalability across AI initiatives. Our technology is utilized by over 6.8 million data specialists skilled in over 235 languages , delivering unparalleled expertise in capturing domain specific knowledge into formats models can train against. The F8F platform is currently used by over 80% of leading LLM developers. As the world’s largest provider of geospatial human domain monitoring data , F8F processes and analyzes petabits worth of geospatial data to provide enhanced situational awareness around the globe. Through our Hydra AI platform, we handle more than 500 billion events per month across 200 countries and territories , serving over 1 billion active users . At its core, F8F is dedicated to empowering defense and intelligence agencies with cutting-edge technology to drive the Nation’s strategic AI advantage and drive mission impacts. With a proven track record of delivering secure, reliable, and scalable data solutions, F8F remains at the forefront of driving innovation in AI training data. Learn more about how F8F is shaping the future of AI at F8Federal.com . The Data Annotation Specialist (located in Rosslyn, VA) is a role involving reviewing data (audio, video, imagery and text) and labeling objects within those datasets according to predefined descriptions. This position plays a large role in developing training data for Artificial Intelligence and Machine Learning capabilities. The specialist will be working in a large group environment where communication is key to completing day to day tasks. You will be a great fit if you are: Self-motivated Team-oriented Possess a high level of focus and attention to detail Required Qualifications: High school diploma or equivalent Highly organized and able to take direction well Ability to work independently, cooperatively, and collaboratively as a team member Possess excellent oral and written skills, including non-technical writing Excellent analytical skills, coupled with a strong sense of ownership, urgency, and drive Proficient in Microsoft Office products Ability to handle ambiguity and changing priorities US Citizenship Ability to obtain and maintain a Secret security clearance Desired Qualifications: Familiar with CVAT Secret or Top Secret clearance Associate degree or bachelor’s degree 1+ years of experience in an office environment Prior experience in intelligence analysis, GEOINT or some other -INT discipline, specifically imagery analysis We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Posted 30+ days ago

Data Labeling POD Supervisor (Secret)

Figure Eight FederalSt. Louis, MO

Figure Eight Federal (F8F): Leading the Future of AI Training Data Figure Eight Federal (F8F) provides accurate and reliable human annotated datasets that fuel AI and machine learning for some of the world’s biggest brands. With more than 25 years of industry knowledge, F8F’s technology powers many of the AI interactions we experience every day. Our solutions and expertise empower our clients to achieve their AI goals and make a significant impact in their industry. As a Labeling Pod Supervisor for our AI Data Labeling operation, you will play a critical role in ensuring the accuracy, efficiency, and quality of our data annotation processes. With a keen eye for detail and a strong background in team leadership, you will oversee a team of data labelers and guide them in delivering high-quality labeled datasets that power machine learning models across a wide range of applications. Key Responsibilities : •Lead, mentor, and manage a multidisciplinary team of ≈ 20 individuals performing labeling tasks aligned with mission specifications •Monitor daily performance against productivity and accuracy KPIs using program dashboards and reporting tools •Coordinate with Site Lead, and other Pod Supervisors, to assign tasks, manage shifts, and monitor deadlines •Coordinate with Quality Control Technician to implement corrective actions for quality or timeliness issues, including retraining, coaching, or process adjustments •Serve as the first-line escalation point for technical or operational issues within the labeling pod •Support the onboarding and training of new pod members in collaboration with trainers and human-in-the-loop (HITL) reviewers •Ensure compliance with all labeling standards, security protocols, and operational procedures •Drive continuous improvement initiatives to optimize pod efficiency, quality, and morale among the labeling teams Required Qualifications: Bachelor’s degree in a technical, geospatial, or management field and 2+ years of experience – Additional years of experience may be substituted in lieu of degree Demonstrated experience in managing or coordinating teams in a production environment Previous experience and understanding of data labeling annotation workflows Excellent organizational, communication, and people-management skills Demonstrated ability to manage multiple priorities under deadline pressure US Citizenship Secret clearance with eligibility for TS Desired Qualifications: Bachelor’s degree in business management Fully adjudicated TS with SCI eligibility Experience with geospatial data processing and AI-driven mapping technologies Understanding of augmented reality (AR) and edge computing Prior work in ethical AI and model explainability techniques TS clearance We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Posted 30+ days ago

Data Labeling POD Supervisor (Secret)

Figure Eight FederalArlington, VA

Posted 30+ days ago

Staff Product Data Scientist

Salesforce.com, Inc.Denver, CO

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place. Applications will be accepted up to 5 weeks from posting date. We are looking for a seasoned Data Science expert to help build a world-class data science and analytics platform that supports and scales data-driven product decision-making. As a Senior Product Data Scientist, you will work closely with cross-functional partners to proactively define the product landscape, derive insights from data, communicate key findings to product executives, and directly contribute to product strategy building and implementation. You'll partner with Product, Design, and Engineering (PDE) to contribute directly to product development-shaping what we build, how we measure success, and when/how we iterate and improve. At Slack, we foster a positive, diverse, and supportive culture. We look for people who are curious, bold, and eager to improve every day. Our team values being smart, humble, hardworking, and above all, collaborative. What you will be doing Apply advanced data science techniques to analyze Slack product usage patterns, identifying what's working, what's not, and opportunities for improvement. Conduct evidence-based evaluations to determine key drivers of Slack's product growth. Define and report key success metrics, effectively communicating insights to Slack and Salesforce leadership to enable executive level decision making and follow-ups. Synthesize insights across different product areas and business outcomes, identifying correlations and causal relationships that drive success. Serve as a domain expert in product data science, guiding best practices and advancing data science methodologies and operations. Champion evidence-based decision-making, making data and insights accessible and scalable for stakeholders at all levels. What you should have 5+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software. A related technical degree required. Expertise in at least one programming language for data science (e.g., Python, R). Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop). Expertise in Apache Airflow is a strong plus. Strong communication skills. Able to translate complex technical results into clear, actionable insights. Cross-functional collaboration and influencing skills, with a track record of impacting decisions at both strategic and executional levels. Experience designing and implementing advanced data models with scalability and efficiency. Experienced in applying advanced quant measurement techniques in a product development environment Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com . Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For New York-based roles, the base salary hiring range for this position is $200,800 to $276,100. For Colorado-based roles, the base salary hiring range for this position is $167,300 to $230,000. For Washington-based roles, the base salary hiring range for this position is $184,000 to $253,000. For California-based roles, the base salary hiring range for this position is $200,800 to $276,100. For Illinois based roles, the base salary hiring range for this position is $184,000 to $253,000. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com .

Posted 1 week ago

Senior Manager, Data Enablement Oncology

PfizerBothell, WA

Role Summary: The Senior Manager of Data Enablement (Commercial Information Management) is responsible for managing oncology data management initiatives, including overseeing the integration, maintenance, and reporting of key data assets that support commercial operations. This role focuses on ensuring data accuracy, accessibility, and integrity while working with cross-functional teams to manage commercial information that drives business decisions. The Senior Manager will collaborate with teams across Pfizer, including IT, sales, marketing, and sales operations to ensure data processes align with business goals. This position reports to the Senior Director of Commercial Information Management within Pfizer's Oncology Commercial Analytics team. Key Responsibilities: Data Management and Integration Data Strategy Execution: Implement oncology data management strategies, ensuring alignment with commercial objectives and data accuracy across systems. Data Systems Oversight: Support in the design, integration, and maintenance of database management systems, ensuring that oncology data is accurate, secure, and easily accessible for business use. Data Sourcing and Infrastructure: Work with Pfizer Digital and data platform teams to implement data sourcing strategies and maintain robust data infrastructure to meet the business's evolving needs. Data Maintenance and Quality Assurance Master Data Management (MDM): Manage and quality control key oncology data, including HCP and healthcare organization (HCO) affiliations. Ensure master data is up-to-date and integrated into key commercial systems. Data Accuracy and Compliance: Ensure that all data management processes comply with regulatory requirements and that data accuracy is maintained through robust quality assurance and governance measures. Data Cleansing and Validation: Implement processes for data validation, cleansing, and updating to ensure that commercial data is reliable and ready for reporting and decision-making. Data Performance and Analytics Support KPI Tracking: Establish key performance indicators (KPIs) to track the quality and performance of oncology data assets. Continuously monitor data integrity and ensure KPIs are used to drive improvements in data management practices. Data-Driven Insights: Work with analytics teams to turn oncology data into meaningful business insights that support commercial operations, sales strategies, and decision-making processes. Collaboration and Stakeholder Management Cross-Functional Collaboration: Collaborate with key stakeholders across Pfizer, including commercial operations, sales, marketing, and Pfizer Digital, to ensure data management solutions meet the needs of various business units. Vendor Management: Coordinate with external vendors and data providers, ensuring that data sourcing and quality meet Pfizer's standards and business needs. Stakeholder Communication: Act as a liaison between data management and business teams, effectively communicating data challenges, opportunities, and solutions to stakeholders. Project and Process Management Project Management: Support key projects related to the development and optimization of oncology data management processes. Ensure projects are delivered on time, within scope, and aligned with business goals. Process Improvement: Continuously identify and implement process improvements in data management, ensuring operational efficiency and scalability to support business growth. Change Management: Implement new data management technologies and processes, ensuring smooth transitions and adoption by relevant teams. Compliance and Data Security Data Compliance: Ensure oncology data management processes adhere to regulatory guidelines such as HIPAA, GDPR, and other data privacy standards. Maintain transparency in data processes and governance practices. Data Security: Implement data security best practices to safeguard sensitive oncology data (e.g., PII) and prevent unauthorized access or breaches. Basic Qualifications: Education: Bachelor's degree in data management, computer science, information systems, or a related field. Experience: Minimum of 6+ years of experience in data management, information systems, or commercial information management in the pharmaceutical industry. Oncology experience preferred. Technical Expertise: Strong experience with data management systems, including Snowflake, Dataiku, MDM, CRM platforms (e.g., Veeva), and cloud-based data solutions (e.g., AWS, Azure). Project Management: Proven ability to support large, complex data management projects with multiple stakeholders, including cross-functional collaboration and vendor management. Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Preferred Qualifications: Oncology Data Expertise: Experience working with oncology-specific data, including patient-level data, healthcare provider information, and sales data in the pharmaceutical industry. Great to have IQVIA ONE KEY Data and Affiliation Data Management experience Cross-Functional Collaboration: Experience working with cross-functional teams in commercial operations, sales, and marketing, with the ability to translate business needs into data solutions. NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS Travel for meetings and team meetings Work Location Assignment: Must be able to work in assigned Pfizer office 2-3 days per week, or as needed by the business Last day to apply: May 12th 2025 This role is not remote The annual base salary for this position ranges from $120,800.00 to $201,400.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Mkt & Sales/Commercial Bus

Posted today

Data Scientist Assistant

OutbrainParis, TX

We are Teads Outbrain Inc. (Nasdaq: OB) and Teads S.A. combined on February 3, 2025 and are operating under the new Teads brand. The new Teads is the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. One of the most scaled advertising platforms on the open internet, the new Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 36 countries. For more information, visit https://thenewteads.com/ . Please submit your CV in English. Our main Engineering challenges at Teads Build efficient and easy-to-use web products used by thousands of users working for the world's most premium publishers, advertisers, and agencies. Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others. Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds). Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second). A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products. Bring a wide diversity of profiles to the same level of quality and knowledge Work in an international environment with offices located in Israel, Slovenia and France. What will you do? As a Data Scientist Assistant, your mission can be to: Work closely with our team of data scientists and engineers to understand the issues facing our SSP and the challenges associated with real-time optimization. Discover and apply our feature engineering techniques to improve the quality and relevance of the data used by our algorithms. Work with our engineers to integrate improvements and new models into our SSP platform. Work on our user graph, which enables us to probabilistically link the various devices of our users and our broadcast channels (CTV, Web), as well as on deep learning models enabling us to classify them or obtain the best vector representation of their digital usage What will you bring to the team? Programming skills, particularly in Python or Scala Ability to work in a team and communicate effectively with technical and non-technical people. Initiative, creativity, critical thinking and autonomy Knowledge of big data-oriented SQL, or AWS/GCP, or Bigquery, or an interest in machine learning would be a plus We care about you: Security & Savings: Attractive package providing financial peace of mind, including competitive compensation, profit-sharing, daily meal vouchers (Swile), family health insurance (Alan), and a personalized relocation package (if needed). Career Development: Continuous investment in our employees' skills: in-house and external training, tech conference opportunities, internal mobility (individual contributor or management career ladder). Life Balance: A well-balanced work-life for our employees is one of our top priorities: 35+ days off per year, hybrid work (2-3 days remote work per week, more is open to discussion), fully covered parental leave, and reserved daycare places. Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives (women speaking groups, dedicated school partnerships), dedicated charitable time and sustainability actions (Eco Tree, subsidy for eco-mobility). Life at Teads Our company culture is welcoming, dynamic, diverse, global, and built on top performance. Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment. Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging through our Employee Resource Groups - employee-led groups in which we debate topics and drive change: environmental, women empowerment, charitable initiatives to diversity, equity, and inclusion, you'll be able to share your passions with likeminded people. #Ly-Hybrid

Posted 30+ days ago

Senior Data Consultant - Graph & Semantics

CapcoNew York, NY

#LI-SG1 About the team: Capco's Data Team helps our clients transform every aspect of their business. We are highly skilled at formulating data strategy, defining business and technology initiatives across the data management lifecycle, and aligning multi-year strategic roadmaps with client's business goals. As digital technologies advance and regulations tighten, today's consumers - and, therefore, today's businesses - are becoming more aware of the importance of good quality data. We work to establish holistic ways to effectively manage data through the modern data supply chain and facilitate consumption through analytics, modelling, AI, machine learning, dashboarding, and reporting. About the Job: Financial services firms are increasingly turning to graph and semantic technologies to unlock value from complex, siloed data. These tools-powered by AI and knowledge graphs-enable deeper insights by linking structured and unstructured information in ways that are both human- and machine-readable. This role focuses on helping clients design and implement such solutions, while also growing Capco's Data Practice through thought leadership, talent development, and strategic partnerships. The ideal candidate will drive innovation, support business development, and stay ahead of emerging trends in semantic graph technologies. What You'll Get to Do: Design, develop, and maintain ontologies to support knowledge graph initiatives and enterprise data management. Work with stakeholders to define data relationships, taxonomies, and semantic models to enhance data interoperability. Implement and optimize knowledge graphs using technologies such as RDF, OWL, SPARQL, and graph databases (e.g., Neo4j, Stardog, or Amazon Neptune). Collaborate with data scientists, engineers, and business teams to integrate ontologies into AI/ML models and enterprise applications. Ensure ontology alignment with industry standards (e.g., W3C, schema.org, FIBO) and evolving business requirements. Perform data modeling, entity resolution, and graph-based analytics to derive insights from structured and unstructured data. Develop and maintain documentation for ontology models, data dictionaries, and governance policies. Stay updated on advancements in graph technologies, semantic web, and linked data best practices. What You'll Bring with You: Bachelor's or Master's degree in Computer Science, Information Science, Data Science, or a related field. 5+ years of experience with Knowledge Representation and Semantic Technologies, e.g. OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle, N-Quads, including semantic modelling and data Proficiency in at least one of the following languages: Python, Java, C-based languages Working knowledge of several Graph/Triple Stores and related technologies, e.g. Stardog, Anzo, GraphDB, Apache Jena, TigerGraph, TypeDB, MarkLogic, Metaphactory, Neo4j, Protégé, Poolparty Experience delivering knowledge graph projects including data acquisition, modelling, pipelines and visualization Has managed technology projects with a sizeable amount of data Excellent Communication skills - be an effective, passionate, trusted advocate and communicator for Graph and Semantic Technologies Experience in the financial services domain is a great advantage Ability to utilize NLP, machine learning and semantic text mining to translate data into machine understandable representations to support advanced analytics, classification, inference processing and knowledge extraction Agile software development frameworks, e.g. Scrum, Kanban, Extreme Programming Why Capco? A career at Capco is a chance to help reshape the competitive landscape in financial services. We launch new banks, transform existing ones, and help our clients navigate complex change. As consultants, we work on the front-end business design all the way through to technology implementation. We are the largest Financial Services focused consultancy in the world, serving everyone from global banks to emerging FinTechs, from strategy through digital transformation, design, business consulting, data and analytics, cyber, cloud, technology architecture, and engineering. Capco is a young and growing firm. We maintain an entrepreneurial spirit and growth mindset and have minimal bureaucracy. We have no internal silos that get in the way of your career opportunities or ability to focus on our clients and make a difference to the business. We offer the opportunity for everyone to learn rapidly, take on tough challenges, and get promoted quickly. We take pride in our creative, collaborative, diverse, and inclusive culture, where everyone can #BYAW. We offer highly competitive benefits, including medical, dental and vision insurance, a 401(k) plan, tuition reimbursement, and a work culture focused on innovation and creation of lasting value for our clients and employees. Ready to take the Next Step If this sounds like you, we would love to hear from you. This is an opportunity to make a difference and contribute to a highly successful company with a significant growth trajectory. We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter. US Pay Range $111,000-$150,000 USD

Posted 2 weeks ago

Business Systems Analyst - Corporate Technology Data Engineering & Analytics

MassMutual Financial GroupNew York, NY

The Opportunity Join our dynamic team as a Business System Analyst - Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role as a strategic liaison between investment stakeholders and technical delivery teams. Your role is pivotal in enabling high-quality data solutions that support informed decision-making, regulatory compliance, and operational excellence across investment operations. The Team You'll be an integral part of our esteemed Corporate Technology Team, focused on Data Engineering & Analytics. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Business Systems Analyst, you'll play a pivotal role in high impact Corporate Technology Investment Management Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with our Corp Technology leadership team as well as our Investment Management and CFO customers. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed. The Impact: Act as the primary interface between Investment Management teams and Data Engineering & Analytics groups. Elicit, document, and translate complex business requirements into clear technical specifications (BRDs, FRDs, user stories, process flows). Drive the design and implementation of investment data solutions, including data pipelines, reporting dashboards, and analytics platforms. Support system configuration, integration, and user acceptance testing (UAT) for investment data platforms. Collaborate with Data Engineers, Architects, and BI Developers to ensure alignment with business objectives and data strategy. Lead or contribute to UAT planning and execution, including test case development, defect tracking, and resolution. Maintain comprehensive documentation such as business process flows, data dictionaries, and traceability matrices. Partner with data governance, compliance, and investment operations teams on cross-functional initiatives. The Minimum Qualifications Bachelor's degree in Economics, Actuarial Science, Finance, Accounting, Information Systems, or related technical or quantitative fields 8+ years of experience as a Business Systems Analyst or similar role in data analytics or technology projects 3+ years of domain experience in asset management, investment management, insurance, or financial services. The Ideal Qualifications Familiarity with Investment Operations concepts such as Critical Data Elements (CDEs), data traps, and reconciliation workflows. Working knowledge of data engineering principles: ETL/ELT, data lakes, and data warehousing. Proficiency in BI and analytics tools such as Power BI, Tableau, MicroStrategy, and SQL. Excellent communication, analytical thinking, and stakeholder engagement skills. Experience working in Agile/Scrum environments with cross-functional delivery teams. Proven track record of Analytical and Problem-Solving skills. In-depth knowledge of investment data platforms, including GoldenSource, NeoXam, RIMES, JPM Fusion, etc. Expertise in cloud data technologies such as Snowflake, Databricks, and AWS/GCP/Azure data services. Strong understanding of data governance frameworks, metadata management, and data lineage. Familiarity with regulatory requirements and compliance standards in the investment management industry. Hands-on experience with IBOR's such as Blackrock Alladin, CRD, Eagle STAR (ABOR), Eagle Pace, and Eagle DataMart. Familiarity with investment data platforms such as GoldenSource, FINBOURNE, NeoXam, RIMES, and JPM Fusion. Experience with cloud data platforms like Snowflake and Databricks. Background in data governance, metadata management, and data lineage frameworks. Exceptional communication and interpersonal skills. Ability to influence and motivate teams without direct authority. Excellent time management and organizational skills, with the ability to prioritize multiple initiatives. Ability to lead cross-functional teams and manage complex projects. #LI-RK1 Salary Range: $124,800.00-$163,800.00 At MassMutual, we focus on ensuring fair equitable pay, by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. Why Join Us. We've been around since 1851. During our history, we've learned a few things about making sure our customers are our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products and services. To accomplish this, we celebrate an inclusive, vibrant and diverse culture that encourages growth, openness and opportunities for everyone. A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits. And your voice will always be heard. We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It's more than our company structure - it's our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual. MassMutual is an Equal Employment Opportunity employer Minority/Female/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Note: Veterans are welcome to apply, regardless of their discharge status. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. At MassMutual, we focus on ensuring fair, equitable pay by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

Posted 2 days ago

Technical Analyst (Data Analytics)

Contact Government ServicesAllentown, PA

Technical Analyst (Data Analytics) Employment Type: Full-Time, Experienced /p> Department: Legal/ Information Technology CGS is seeking a Technical Analyst to join our team supporting a wide-ranging technical support initiative for a large Federal agency. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Ability to consult with contractors and government management to solve complex litigation support requirements. Ability to make recommendations for technical solutions including application development, applications. management, documentation, quality assurance, and user support. Ability to provide technical advice, supervision, and guidance to the contractor support team. Ability to evaluate programs in terms of efficiency, effectiveness, quality, and interoperability with client systems. Ability to evaluate software and hardware requirements along with short- and long-range planning, including systems integration solutions and telecommunications requirements. Ability to translate advanced concepts into practical and effective solutions using structured techniques to define requirements. Ability to develop feasible alternatives and estimate costs of implementation. Ability to make presentations of findings, recommendations, and specifications in formal reports and oral presentations to a variety of audiences, including non-technical personnel. Ability to perform supervisory or managerial duties. Qualifications: Bachelor of Science. Data Analytics experience. Relativity experience. Nuix experience. Litigation support experience. Client relationship and management experience. Ideally, you will also have: At least five years of specific, hands-on experience. strong background in data analytics. Ability to demonstrate a successful history of difficult and complex problem-solving for the appropriate systems. Excellent oral and written communication skills. Graduate degree in computer science or information management/ technology. Some supervisory or managerial experience. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com

Posted 30+ days ago

Senior Data Scientist, Large Behavior Models & Diffusion Policy

Toyota Research InstituteLos Altos, CA

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team in Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics. The Discover, Nurture, and Adopt (DNA) division at TRI focuses on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. DNA is leading a new cross-organizational project between TRI and Woven by Toyota to research and develop a fully end-to-end learned automated driving / ADAS stack. This cross-org collaborative project is harmonious with TRI's robotics divisions' efforts in Diffusion Policy and Large Behavior Models (LBM). We are looking for a data scientist to contribute to the end-to-end model development using Diffusion Policy and Large Behavior Models (LBM) for automated driving. This role involves focusing on analyzing large-scale data, evaluating models, curating datasets, and optimizing performance to enhance automated driving systems. You will also develop algorithms, pipelines and key strategies to enhance and streamline scalable large fleet data and vendor data. You will work closely with machine learning researchers, software engineers, and roboticists to drive execution, manage dependencies, and accelerate the transition of research models into real-world deployment. This role offers a unique opportunity to drive innovative AI research into real-world deployment, shaping the future of automated driving. If you are passionate about building transformative AI-driven mobility solutions, we invite you to apply and help us advance the next generation of automated driving vehicle technology. Responsibilities Design and implement data strategies for collecting, sampling, labeling, and using large-scale datasets to train and validate Large Behavior Models (LBM) in automated driving scenarios. Develop metrics and evaluation frameworks for anomaly detection and trend analysis in data from various sources, including real-world vehicle platforms and simulations. Analyze model performance metrics, model failure modes, statistical relevance of datasets, collaborating with machine learning engineers to fine-tune, debug, and optimize models for automated driving tasks. Design and improve scalable data pipelines and automation for machine learning and performance evaluation. Support the integration of multi-modal data sources (e.g., vision, radar, language, maps) into end-to-end driving models. Work closely with cross-functional teams to bridge the gap between research models and production deployment. Qualifications MS or PhD in related fields. 5+ years of experience in data science, machine learning, or a related field, with a focus on large-scale AI applications. Strong background in statistical analysis, data mining, and machine learning techniques. Proficiency in Python and SQL for data manipulation, analysis, and visualization. Experience with theoretical aspects of data science and machine learning (deep learning, statistical analysis, and mathematical modeling). Experience in building machine learning algorithms and infrastructure, including data pre- and post-processing, sampling and curation, ablation studies, and evaluation. Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and ML model evaluation. Familiarity with large-scale dataset management, including handling high-dimensional sensor data. Strong analytical and problem-solving skills, with the ability to interpret complex datasets and drive actionable insights. Experience working in cross-functional AI research and engineering teams. Bonus Qualifications Experience in automated driving technologies, including perception, prediction, planning, or sensor simulation. Experience in building or managing infrastructure, such as Docker, Kubernetes, Jenkins, GitHub Actions. Experience working with temporal/sequential and/or spatial data. Hands-on experience with sensor data processing (e.g., camera, LiDAR, radar, IMU). Familiarity with automotive simulation tools and real-world autonomous vehicle testing. The pay range for this position at commencement of employment is expected to be between $201,600 and $302,400/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

Posted 30+ days ago

Systems Analyst (Data Analytics)

Contact Government ServicesPhiladelphia, PA

Systems Analyst (Data Analytics) Employment Type: Full-Time, Mid-Level /p> Department: Information Technology As a CGS Systems Analyst, you will be doing the work of setting up Oracle databases in a UNIX environment, including designing, implementing, troubleshooting, populating, maintaining, documenting, and training users on such systems. Other systems environments and specific project requirements will call for other specific sets of technical skills. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Requires broad knowledge of the Government's IT environments. Office automation networks. PC and server-based databases and applications. Qualifications: This is a senior-level technical position, often the most senior-level technical position for all work for a particular DOJ component. Must demonstrate substantial, hands-on, successful experience in doing the work on the systems being used, usually at least five years of such experience. Other systems environments will require other specific sets of skills. Requires broad knowledge of the Government's IT environments, including office automation networks, and PC and server-based databases and applications. Experience in a litigation support environment is extremely helpful. Excellent oral and written communication skills are required. The ability to lead a technical team, and to give it direction, will be essential, as will the demonstrated ability to analyze the attorneys' needs and to design and implement a whole system solution responsive to those needs. Ideally, you will also have: Undergraduate degree in the computer science or information management/technology disciplines. Supervisory experience. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $116,480 - $149,760 a year

Posted 30+ days ago

Staff Software Engineer, Data Platform

DiscordSan Francisco, CA

We are seeking an accomplished and experienced Staff Software Engineer to join our dynamic team. As a leader within our Data Platform team, you will be responsible for designing, developing, and maintaining our data infrastructure and services. You will collaborate with cross-functional teams, including data engineers, data scientists, software engineers, and product managers, to deliver modern and bleeding-edge solutions that drive business insights and innovation. This role reports to our Director of Engineering, Data Platform. To learn more about Discord's Data Platform, read our engineering blog - including how we built our modern data stack leveraging open-source tools! What You'll Be Doing Define and execute the technical vision for Discord's data platform, enabling scalable, reliable, and performant data systems. Design, implement, and optimize data infrastructure to process and analyze petabytes of data across millions of users. Develop innovative data architectures to support analytics, machine learning, and operational insights. Build monitoring, logging, and alerting systems to ensure the health and performance of data services. Partner with data scientists, data engineers, product managers, and leadership to align technical solutions with business goals. Promote and drive best practices in data governance, security, and compliance across the organization. Provide technical leadership, mentor junior engineers, and foster a culture of excellence and continuous improvement. Stay up-to-date with industry trends and emerging technologies in data platform. What You Should Have 8+ years of experience in software engineering with a focus on large-scale distributed systems or data infrastructure. Expertise in building and maintaining scalable data platforms, including data ingestion pipelines, stream processing, and batch processing systems. Proficiency in programming languages such as Python, Java, Rust, or similar. Proficiency with open source data projects and experience working with open source communities. Hands-on experience with modern data technologies such as Kafka, Spark, Flink, Airflow/Dagster, or similar. Deep understanding of database systems (e.g., SQL, NoSQL, columnar storage) and data modeling principles. Strong knowledge of cloud infrastructure (AWS, GCP, or Azure), containerization tools (Docker, Kubernetes), and microservices architecture. Excellent communication skills with a demonstrated ability to collaborate and influence across teams and levels. Proven ability to thrive in a fast-paced environment. Bonus Points A strong passion for Discord and gaming. Open source contributions to data-related projects. #LI-Remote The US base salary range for this full-time position is $248,000 to $310,000+ equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Posted 1 week ago

Lead Data Scientist - Insurance

Guardian LifeBoston, MA

Lead Data Scientist Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. We've recently onboarded a Chief Data & Analytics Officer (CDAO) to guide this transformation and lead the Enterprise Data and Analytic Office (EDAO). This role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution. Guardian's EDAO spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data engineers, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience. Guardian is seeking Tech Lead with a strong background in production ready AI/ML solutions. In this role as Lead Data Scientist, your responsibilities will include developing advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction. You Will: Key Responsibilities Build and lead a high performing group of data scientists Stay current with developments in ML and AI innovations, industry trends, challenges, and potential market opportunities Lead and mentor other team members Manage business stake holders from ideation to deployment and aftercare Support use case development that includes initial data exploration, project/sample design, reception, and processing of data, performing analysis and modeling to creation of final report/presentation Utilizing advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps Implement new statistical or other mathematical methodologies as needed for specific models or analysis. Propose innovative ways to look at problems through using data mining and data visualization Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Present information using data visualization techniques; communicate results and ideas to key decision makers. Ensure data accuracy and consistent reporting by performing regular data quality control, prepare and maintain reports, and troubleshoot data anomalies Consistent accuracy and thoroughness in performing work assignments Attend industry conferences to stay current on industry trends, challenges, and potential market opportunities Contribute to standardization of Data Science tools, processes, and best practices You are: You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have demonstrated track record of managing data science teams and working with business leaders. You have: PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field 7+ years of hands-on ML modeling/development experience 2+ Years experience working within Insurance Industry Knowledge of Individual Markets or Direct to Consumer Insurance experience is a major plus. Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP) Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks. Demonstrated track records in experimental design and executions Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions Strong programming skills in Python Solid background in algorithms and a range of ML models Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Location: Hybrid: Three days a week in our offices in New York, NY, Bethlehem, PA, Holmdel, NJ, Pittsfield, MA or Boston, MA. Salary Range: $148,940.00 - $244,685.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact applicant_accommodation@glic.com. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Posted 30+ days ago

Oliver Wyman -Senior Lead Data Engineer

Marsh & McLennan Companies, Inc.Chicago, IL

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Job Description

Boston, New York, Toronto

Sr. Lead Data Engineer

____

WHO WE ARE

Oliver Wyman Digital is a ground-breaking division within Oliver Wyman delivering world-class solutions to give our clients a competitive edge. We work across the full technology stack from databases and analytics to APIs and web and mobile applications. With a mixture of over 300 consultants, specialists and support professionals in 16 major cities across the world, we're committed to growth that retains our start-up agility while expanding our opportunities for world-class work.

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THE ROLE AND RESPONSIBILITIES

No two OW Digital projects are the same. You'll be working with varied and diverse teams to deliver unique and unprecedented products across industries. The Sr. Lead Data Engineer will serve as a keystone on our larger projects, enabling us to deliver solutions hand-in-hand with consultants, data science specialists, and software engineers. The Data Engineer is the universal translator between IT, business, software engineers, creative designers, behavioral science, and Data Scientists, working directly with clients and project teams. S/he works to understand the business problem being solved, the data required to do so, and the tools to make the data impactful. As a Sr. Lead Data Engineer, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered by a multi-disciplinary team of OW Digital specialists and consultants.

Your responsibilities will include, for example:

Understanding the overall problem being solved and what flows into it
Building tools, platforms, and pipelines to enable teams to clearly and cleanly analyze data, build models, and drive decisions
Lead and mentor a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement
Determining and fulfilling functional and non-functional requirements while ensuring alignment with budgetary and financial objectives
Scaling up from "laptop-scale" to "cluster scale" problems, in terms of both infrastructure and problem structure and technique
Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines
Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Engage with stakeholders across various levels to ensure project alignment and manage expectations effectively
Collaborating with clients to understand, advise, and recommend on strategic sourcing (internal versus external)
Joining colleagues in an Oliver Wyman office or client site at least 50% of the time to collaborate and learn

____

YOUR EXPERIENCE

You are a well-rounded delivery-minded technologist who brings a wealth of real-world experience with:

You are a well-rounded technologist who brings a wealth of real-world experience and a:

Technical background in computer science, software engineering, database systems, distributed systems
Familiarity with statistics, data science, and machine learning
A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value
Proven ability to design scalable architecture tailored to client requirements, ensuring alignment with budgetary constraints, project timelines, and financial objectives through effective trade-off analysis
Expertise in applying best practices for various data architectures (e.g., event-driven, batch, real-time data integrations) focusing on efficient solutions that meet project needs without unnecessary complexity.
Direct experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scale
Ability to context-switch, to provide support to dispersed teams which may need an "expert hacker" to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined
Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value
An 'engineering' mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews
Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access
Fluency with distributed and cloud environments and a deep understanding of how to balance computational considerations with theoretical properties
Use of agile and DevSecOps practices for project management and software delivery
Demonstrated expertise building backend services with some of the following common languages and tools:
Pandas, Scikit-Learn, Matplotlib, TensorFlow, Jupyter and other Python data tools
Spark (Scala and PySpark), HDFS, Kafka and other high volume data tools
SQL and NoSQL database technologies, such as MySQL, Postgres, Cassandra, MongoDB and ElasticSearch
Interest/background across sectors (e.g, Financial Services; Health and Life Sciences; Consumer, Retail, Energy, or Transportation)
A minimum of 6+ years of experience as a data engineer

____

YOUR ATTRIBUTES

Our team comprises all sorts of people from all sorts of backgrounds. We don't care whether you're loud or quiet, funny or serious, introverted or extroverted. We do, however, ask that you have:

An undergraduate or advanced degree from a top academic program
Willingness to be agnostic to a variety of programming languages (e.g. Python, Java, C#, GoLang) and technical stack based on client requirements
A genuine passion for technology and solving problems
A pragmatic approach to solutioning and delivery
Excellent communication skills, both verbal and written
A clear commitment to creating impactful solutions that solve our clients' problems
The ability to work fluidly and respectfully with our incredibly talented team
Willingness to travel

____

OUR VALUES & CULTURE

We're serious about making OW Digital a rewarding, enjoyable, and balanced place to work.

Rewarding work

We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 "Best Companies to Work For", and you get a rewarding combination of challenge, support and recognition.
Progressive employment

Flat organizational structures, resolute I&D values and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. We are committed to providing our people with growth opportunities via professional training, personal development, and diverse roles and responsibilities.

Enjoyable days

We want our team members to build a career here-and to be happy. That makes us serious about caring for, mentoring, developing and sponsoring each other.

This commitment also leads to opportunities for social impact and community work on company time.

Balanced lives

Our work is demanding, and we want you to have the best work-life balance you can.

We'll work with you to accommodate your personal life with flexible hours and the ability to work from home.

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HOW TO APPLY

If you like what you've read, we'd love to hear from you. You can submit your CV on our site -please include a short email introducing yourself and what you're looking for.

The application process will include both technical testing and team fit interviews.

Oliver Wyman is an equal opportunity employer.

Our commitment to diversity is genuine, deep and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse.

____

About Oliver Wyman

Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com. Follow Oliver Wyman on Twitter @OliverWyman.

Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.

The applicable base salary range for this role is $195-$240k.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis.

In addition to the base salary, this position may be eligible for performance-based incentives.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.

Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.