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Oliver Wyman - Sr. Lead Data Scientist Or Principal Data Scientist

Marsh & Mclennan Companies, Inc.New York, NY

Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients' top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow's risks and can optimize operations for the future. Above all, we work collaboratively with our clients' leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects - and 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. As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, 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 through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the journey of model building Keeping up with your domain's state of the art & developing familiarity with emerging modelling and data engineering methodologies Advocating application of best practices in modelling, code hygiene and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science - e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ 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 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 for targeted client and/or internal stakeholder meetings ____ 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. 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 find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search . And please include a short note 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 $150,00 to $195,000. 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 weeks ago

Dod Military Skillbridge - Data Center Operations (Critical Facilities Eng And Data Center Technician)

Equinix, Inc.Dallas, TX

Who are we? Equinix is the world's digital infrastructure company, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. Joining our operations team means that you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. This is not the official job application; this posting is specifically for Equinix Pathways Military Program. Please note that this program is exclusively for Military Spouse Fellows or Active-duty US military personnel transitioning out of the military to civilian workforce. Equinix is the world's digital infrastructure company, operating 200+ data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments. Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed. We are a fast-growing global company with 70+ consecutive quarters of growth. Through our innovative portfolio of high-performance products and services, we have created the largest, most active global ecosystem of nearly 10,000 companies, including 1,800+ networks and 2,900+ cloud and IT service providers in over 26 countries spanning five continents. Are you a military service member within or nearing your 180-day window for separation from active duty? Are you a military spouse fellow wanting to engage a technology career? If this is you, then Equinix has a unique opportunity to help kick-start the next chapter in your professional life. We are accepting applications for our very own DoD SkillBridge Fellowship Program supporting the Data Center Operations, Critical Facilities. The training will be on the cutting-edge of technology in a digital infrastructure environment supporting an initiative designed to link our nation's warfighters to the best employment opportunities available. Do you have a background in Electronics, Electrician, or HVAC and skilled Mechanical trades? This could be your next career move! In this DoD Skillbridge Program with Equinix, you will: Learn how your military experience translates into a rewarding civilian career Explore a career or industry you might want to pursue upon separation from active duty Earn real-world industry qualifications and certifications Build experience and competency in your trade/ profession with our team Expand your professional network of contacts Gain familiarity with corporate culture. Responsibilities Has a substantial understanding of the job while working on assignments that are moderately difficult requiring judgement in resolving issues or making recommendations. Focus is on moderately difficult tasks, using substantial understanding of standard operating procedure. Supports the overall team. Facility / Infrastructure Maintenance Performs moderately difficult preventative and corrective maintenance checks on-site to facility components. You will perform site inspections and monitor the building and IBX alarms Performs moderately difficult repairs, maintenance, installations, and on-site inspections to facility systems. Supports energy efficiency measures Monitors the Building Monitoring System (BMS) and resolves moderately difficult alarm issues that require judgement in resolving while following standard operating procedures Operates and maintains plumbing, fire suppression, and safety systems Operates critical infrastructures under the supervision of more senior technical staff Normally receives little instruction on daily work, general instructions on newly introduced assignments Customer Operations Technician Queue Management & Reporting Prioritize and manage service requests to meet deadlines Maintain detailed records and audit reports Installations Rack and stack equipment in data centers Perform fiber terminations using a fusion splicer Set up telecom cabinets, fiber trays, and cage wiring. Troubleshoot fiber and copper circuits Support standard cross-connect work orders Other troubleshooting procedures Site Administration & Incident Support Performs moderately difficult site logs for permits, such as Maintenance Operation Protocol (MOPs) and scripts Identifies Single Points of Failure (SPOFs) and makes recommendations Responds to all moderately difficult on-site incidents, including failures, problems and delays Uses substantial understanding in following operating procedures to support on-site administration Work Orders & Additional Projects Completes routine work requests and circuit installations Troubleshoots and maintains office equipment (if necessary); supports auxiliary equipment and machines with problem-solving and repairs to avoid/minimize downtime Makes minor changes to mechanical, electrical, and specialized systems, as directed Carries out infrastructure projects Collaboration Collaborates with others to resolve moderately difficult facility incidents Effectively collaborates within the department; may mentor team members on general maintenance activities Provides stakeholders of inventory needs in order to maintain optimal stock levels of critical parts and equipment May recommend infrastructure projects Qualifications Must meet all eligibility requirements outlined in DOD Instruction 1322.29 and NAVADMIN 222/15. Required Technical associates degree, military-technical school, or civilian technical trade school completion Education level: Working on bachelor's degree or relevant experience with 1-4 years in Mechanical Engineering or related field. Comprehensive knowledge of critical infrastructure i.e., UPS, generator, BMS, chillers, life safety systems Coursework in HVAC design or heat transfer and thermodynamics Knowledge of HVAC testing and balancing methodologies Knowledge of IT hardware and other data center operations functions Good time management habits, ability to multi-task, to sustain focus on long tasks. Ability to communicate thoughts and technical ideas. Attitude of taking initiative, enthusiasm, eagerness to learn, teamwork, creativity. Ability to lift 50 lbs The ability to prioritize effectively, balance assigned work and exceptional organization skills required for our constantly evolving environments. Strong interpersonal and communication skills essential for team-based work assignments. Presentation skills with colleagues and clients of all levels Skillbridge Internship positions are open to active duty and/or transitioning military members. Compensation or pay for this role is made through the service member's current enlistment contract based on pay guidelines set by the Department of Defense (DoD) Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. Equinix is an Equal Employment Opportunity and Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. (Equal Opportunity / AA / Disabled / Veterans Employer) Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

Posted 3 weeks ago

Staff Data Engineer- Data Architect

GingerSan Francisco - Hybrid, CA

About the Staff Data Engineer at Headspace: At Headspace, our mission is to transform mental healthcare to improve the health and happiness of the world. Core to this mission is our ability to responsibly and ethically leverage data to provide personalized care to each of our members, meeting them where they are on the mental health continuum. We're looking for an experienced Data Architect who can also operate hands-on as a Staff Data Engineer. You will design and evolve our domain-based Enterprise Data Model (EDM), lead Master Data Management (MDM) initiatives, and build production-grade data pipelines in Python / PySpark. The ideal candidate is equally comfortable whiteboarding conceptual models, building and reviewing ETL jobs, and coaching engineering teams on data architecture best practices. Location: This is a hybrid role located in our San Francisco office, working 3 days per week from the office. What you will do: Lead the Development of Scalable Data Infrastructure: Drive the architecture and implementation of cutting-edge pySpark data pipelines to ingest and transform diverse datasets into the organization's data lake in a fault-tolerant, robust system. Set Design Patterns: Drive the creation and enforcement of standard conventions in code, architecture, schema design, and table design. Architect World-Class Data Platforms: Design and lead the evolution of secure, compliant, and privacy-forward data warehousing platforms to support the unique demands of the healthcare industry. Strategic Collaboration for Business Insights: Partner with analytics, product, and engineering leaders to ensure the data ecosystem provides actionable and reliable insights into critical business metrics. Champion Data-Driven Leadership: Mentor other members of the DE and broader data team, particularly around dbt architecture and query performance., Foster a data-first culture that prioritizes excellence, innovation, and collaboration across teams. Influence Organizational Strategy: Act as a technical thought leader, shaping the company's data strategy and influencing cross-functional roadmaps with data-centric solutions. What you will bring: 7+ years in data engineering / architecture, with 2+ years leading EDM/MDM programs and a proven track record of leading high-impact initiatives at scale. Proven ability to create and maintain domain-based enterprise data models (canonical, hub-and-spoke, data-product-oriented). Deep expertise with data-modeling tools (erwin, ER/Studio, PowerDesigner, or equivalent) and modeling techniques (3NF, Dimensional, Data Vault, Anchor). Production experience writing performant Python and PySpark code on distributed compute (Spark 3+, Delta Lake). Strong SQL skills across columnar and relational engines (e.g., Snowflake, Redshift, Databricks SQL, Postgres). Solid grasp of data-governance practices: lineage, glossaries, PII/PHI controls, and data- quality frameworks. Ability to articulate architecture choices to both executive stakeholders and hands-on engineers. Deep experience designing and optimizing real-time and batch ETL pipelines (preferably within dbt), employing best practices for scalability and reliability. Systems thinker who can balance near-term delivery with long-term architecture vision. Comfortable in highly collaborative, agile environments; able to mentor cross-functional teams. Excellent written and verbal communication; able to translate complex data topics into plain language. Bias for automation, documentation, and continuous improvement. Nice-To-Haves: Hands-on with Databricks platform (Unity Catalog, Delta Live Tables, MLflow). dbt Core for transformation, tests, and metadata; dbt Semantic Layer experience is a plus. Exposure to event streaming (Kafka, EventHub) and CDC tools. Experience integrating with commercial MDM suites or building custom match-merge solutions. Familiarity with cloud data-platform services on AWS (Terraform). Background in data-privacy standards (GDPR, CCPA, HIPAA) and differential-privacy or tokenization techniques. Pay & Benefits: The anticipated new hire base salary range for this full-time position is $140,400-$224,250 + equity + benefits. Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate's location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. Your recruiter will provide more details on the specific salary range for your location during the hiring process. At Headspace, base salary is but one component of our Total Rewards package. We're proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process. About Headspace Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that's effective, personalized, and truly accessible whenever and wherever they need it. At Headspace, our values aren't just what we believe, they're how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They're our shared commitment to building a more connected, human-centered team-one that's redefining how mental health care supports people today and for generations to come. Why You'll Love Working Here: A mission that matters-with impact you can see and feel A culture that's collaborative, inclusive, and grounded in our values The chance to shape what mental health care looks like next Competitive pay and benefits that support your whole self How we feel about Diversity, Equity, Inclusion and Belonging: Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process. Headspace participates in the E-Verify Program. Privacy Statement All member records are protected according to our Privacy Policy. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship-including, for example, a managerial relationship. As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm. For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice #LI-Hybrid

Posted 30+ days ago

Director Data Engineering - Data Acquisition

WEX Inc.Chicago, IL

(*) The candidate must reside within 30 miles of one of the following locations: San Francisco Bay Area, CA; Portland, ME; Boston, MA; Chicago, Il. About the Role WEX is transforming its enterprise data architecture to unlock trusted, scalable, and AI-ready data across all business domains. As part of this journey, we are hiring a Director of Engineering to lead the design, delivery, and governance of our unified ingestion framework-serving as the foundation of our Data-as-a-Service (DaaS) platform. This leader will be responsible for building and operating the platform layer that connects hundreds of data sources across internal systems and external partners into WEX's enterprise data ecosystem. You will lead a talented team of software engineers and collaborate closely with domain-aligned teams to standardize ingestion, streamline onboarding, and scale data operations with governance and observability built in. What You'll Do Own and scale WEX's enterprise data ingestion platform, ensuring reliability, reusability, and consistency across domains. Lead the unification of disparate ingestion pipelines into a governed, modular framework that accelerates data onboarding and reduces duplication. Drive the design and adoption of modern, scalable ingestion patterns-including event-driven, micro-batch, and streaming architectures-by applying strong software engineering principles such as modularity, reusability, and testability across the data acquisition lifecycle. Implement DataOps practices including pipeline observability, error handling, lineage tracking, validation, and secure data onboarding. Partner with stakeholders across product, engineering, and business teams to identify and prioritize high-value ingestion initiatives. Mentor and grow a high-performing team of data engineers, fostering a culture of ownership, scalability, and operational excellence What You Bring 10+ years of experience in scalable software and data engineering practice, with at least 3 years in a leadership or director-level role overseeing platform or ingestion teams in a mid-to-large enterprise. Proven track record of designing and scaling data acquisition systems that process high-volume, high-variety data from both internal systems and third-party sources. Experience architecting modular, metadata-driven ingestion frameworks capable of supporting hundreds of pipelines across business domains with varying data latencies (batch, micro-batch, streaming). Deep understanding of data ingestion patterns at scale, including change data capture (CDC), event-driven pipelines, file-based ingestion , API ingestion, and schema evolution. Experience leading teams that manage mission-critical pipelines with strong SLAs for data freshness, reliability, and security. Deep understanding of distributed data processing architectures, including orchestration, streaming, and table format abstraction-such as workflow scheduling, event-driven pipelines, and versioned data lakes. Demonstrated ability to implement DataOps principles, including observability, lineage, validation, access control, and audit logging. Strong cross-functional leadership skills, capable of aligning engineering, data, and business stakeholders around shared outcomes and delivery plans. A systems-thinking mindset with a passion for building platforms that are robust, extensible, and designed for reuse at scale. The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section. Pay Range: $188,000.00 - $250,000.00

Posted 30+ days ago

Manager- Data Governance & Data Quality

Bunge LTDPB, IN

Location : Mohali City : Mohali State : Punjab (IN-PB) Country : India (IN) Requisition Number : 39025 Business Title- Manager - Data Governance and Data Quality Global Job Title-Mgr I Strategy & Trans Global Function-Business Services Global Department-Strategy and Transformation Reporting to Data Governance Lead Role Purpose Statement-The person will be part of our Data Governance team and will help drive the successful implementation and adoption of the Collibra Data Governance platform including Collibra Data quality. The person need to understand the Collibra Meta Model: Asset, Domain, Community, metadata ingestions using templates. Main Accountabilities- 8-10 Years of Experience in Data Governance and Data Quality Good hands-on experience in Collibra stack of tools such as Collibra DIC and DQ. Establish data quality, data lineage, and metadata management processes within Collibra. Exposure to GCP, Data Privacy, Data Domains, API's Monitor and report on data governance metrics and KPIs, identifying areas for improvement and implementing corrective actions. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams." Knowledge and Skills- Behavior-"Use knowledge of Bunge's business, structure and strategy to develop innovative solutions to improve results or eliminate problems. Build partnerships, appropriately influence to gain commitment, foster talent and coach others to grow in current or future roles. Drive results through high standards, focus on key priorities, organization, and preparing others for change." Technical-"• Accept responsibility/accountability for assigned tasks Break problems into manageable pieces and follow an organized approach to resolve them Plan tasks to create deliverables and effectively execute that plan with little direction from supervisor Deliver high-quality results on time Show willingness and ability to increase contribution and level of responsibility and proactively seek to do so." Education & Experience- "• Education: Bachelor of Engineering /Master of Computer Science/ Master of Science from premier institutes Skills: Collibra stack of tools (DIC, DQ) Data Warehouse / Data Modeling, ETL" Bunge (NYSE: BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge's expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world. Bunge is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, transgender status, national origin, citizenship, age, disability or military or veteran status, or any other legally protected status. Bunge is an Equal Opportunity Employer. Minorities/Women/Veterans/Disabled Job Segment: Data Management, Data Modeler, Strategic Planning, Quality Manager, Sustainable Agriculture, Data, Strategy, Quality, Agriculture

Posted 30+ days ago

CDO - AI Data Quality Data Scientist-Sr Manager

PwCBuffalo, NY

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Posted 30+ days ago

Data Governance And Data Risk Lead

Huntington Bancshares IncPittsburgh, PA

Description Summary Our Enterprise Data Governance team is growing, and we're looking for an outstanding Data Risk Lead to join our team. The Data Risk Lead will be responsible for leading the creation, tracking, and enforcement of data governance processes pertaining to data use and reporting. The development of data policy, standards, and controls and their continued enforcement will be critical to the success of Huntington's journey to being a data driven organization. The Data Risk Lead supports enterprise data governance capabilities and partners across the bank developing documentation of policies and processes related to data use, reporting and data governance, working with other teams in data governance and other divisions in Huntington on data sharing, governance, policy and privacy issues, convening, leading and documenting meetings with stakeholders across the enterprise involved in the process. Here at Huntington Bank, we want Data Risk Leads to work with our data analytics and reporting teams as we develop data solutions to better serve our customers, support our communities, and make our colleagues' lives better. Our goal is to be the best performing Regional Bank in America, and we need data and analytics to meet that goal. Primary Duties and Responsibilities: Work closely with business and technical stakeholders across the enterprise to analyze complex business processes and data governance procedures Lead process walkthroughs with business and technical stakeholders to understand and validate regulatory reporting production processes and related data supply chains Lead the creation of new processes and drafting various components within the Data Governance framework (policies, standards, procedures and controls) Work closely and manage relationships with internal partners in Audit, Compliance, Risk, and Legal to identify and define data policies, standards, and controls to enable broader use of data across Huntington. Contribute to the creation and maintenance of a process and repository for the documentation of governance best practices. Lead the design and enablement of technology and processes upon which the data rules are enforced. Manage the development of toolkits and guidelines that can be leveraged by federated teams as they implement policy requirements. Lead implementation of an ongoing communication plan to educate key stakeholders on data policy frameworks. Support federated teams on the work necessary to meet policy requirements. Tracking and monitoring the implementation of data controls across the organization Developing and designing metrics required for monitoring and tracking adherence to Data Governance Policy Basic Qualifications: Bachelor's Degree or equivalent relevant work experience 7+ years of experience developing and/or implementing data governance frameworks (e.g., data policies, standards, and controls), or experience working with IT and business segments on the analysis of complex business processes and data governance needs Preferred Qualifications: Strong partnership and collaboration skills, including the ability to work in a cross-functional manner with business and technology stakeholders History of developing and monitoring the delivery of efficient and effective processes to solve diverse and complex data problems Ability to rapidly comprehend the changes to key business processes and the impact on the overall Data Governance framework Experience in synthesizing programmatic and policy information from multiple sources, researching and drafting policy and standards documents Ability to constructively challenge requirements and current state to increase overall value to the organization High level of organization and attention to detail Strong critical thinking and creative problem-solving skills Effective communicator (written and verbal) Self-starter attitude with the ability to work independently and as part of cross-functional teams Prior experience with regulatory reporting, auditing, risk management, and/or data management at a large financial institution Experience in strategy, process improvement, management consulting is a plus Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: 70,000.00 - 140,000.00 USD Annual The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Posted 30+ days ago

CDO - AI Data Quality Data Scientist-Sr Manager

PwCAustin, TX

Posted 30+ days ago

Senior Data Architect – Data & AI (Remote)

Blue Orange DigitalDenver, CO

Company Overview: Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm with offices in NYC and Washington, DC. From startups to Fortune 500's, we help companies make sense of their business challenges by applying modern data analytics techniques, visualizations, and AI/ML. Founded by engineers, we love passionate technologists and data analysts. Our startup DNA means everyone on the team makes a direct contribution to the growth of the company. Position Overview: We are seeking a Databricks Data Architect who can own Lakehouse design and governance and represent that vision in front of clients. You'll spend most of your time embedded with delivery squads—modeling data, tuning clusters, and enforcing standards—but you'll also step into discovery workshops, help scope solutions, and support pre-sales conversations when deep architectural insight is needed. Responsibilities: Client Engagement & Solution Development Act as the primary technical liaison during key engagements—translating business goals into architecture that both sides understand. Lead discovery workshops and roadmap sessions to surface requirements, constraints, and success metrics, then map them to scalable Databricks patterns. Partner with account & sales teams to shape estimates, reference architectures, and bill-of-materials for proposals and SOWs. Provide architecture-level answers for RFPs/RFIs and join pitch calls when deep Databricks credibility is essential. Mentor client technical leads during early project phases to ensure knowledge transfer and long-term success. Lakehouse Architecture & Design Design logical/physical models, storage layers, and streaming/CDC patterns with Delta Lake and Unity Catalog. Architect multi-cloud Databricks solutions (AWS, Azure, GCP) covering ETL/ELT, structured streaming, and governance zones. Governance & Security Define catalog/permission models, retention policies, and lineage artifacts to meet HIPAA, SOC 2, GDPR, and similar frameworks. Implement row-/column-level security, tokenization, and end-to-end audit logging. Performance & Cost Optimization Tune cluster sizing, Photon/SQL Warehouse configs, Z-Ordering, and auto-compaction to hit SLA and cost targets. Instrument dashboards for query latency, job runtimes, and spend. Implementation Leadership Lead design reviews, pair with engineers on PySpark/Scala, and sign off on pull requests before production. Publish best-practice templates, Terraform workspace bootstraps, and CI/CD guidelines. Cross-Functional Collaboration Work closely with Platform Ops, Security, Analytics, and Product teams to translate requirements into production-ready data solutions. Host lunch-and-learns and brown-bag demos to level-up Databricks skill sets across Blue Orange. Requirements: 5–7 years building cloud data platforms; 3+ years hands-on with Databricks. Deep expertise in Delta Lake ACID, Unity Catalog, and Spark performance tuning. Proven experience architecting Lakehouse or Cloud DW solutions on two or more major clouds. Strong SQL + PySpark/Scala; working knowledge of dbt, Airflow, or similar orchestrators. Databricks Data Engineer Professional certification (or ability to earn in 90 days). Excellent communication skills for client workshops, documentation, and mentoring. Ability to engage with and communicate effectively with clients at all levels developing technical solutions that solve their challenges and/or advance their interests. Bachelor's degree or higher in Computer Science, Engineering, Data Science, or related field, or equivalent experience. Ability to translate complex technical concepts into understandable terms; adept at engaging and influencing senior management and non-technical stakeholders. Exceptional communication, presentation, and interpersonal skills, particularly adept at conveying complex technical concepts effectively to non-technical audiences with ease. Self-directed and motivated with a results-driven approach, capable of achieving deliveries and outcomes independently with limited external direction. Eager to learn and adapt in a rapidly evolving tech landscape. Ability and willingness to travel as required to meet clients and attend industry events. Preferred qualifications: Experience as a Databricks Champion within your organization. Experience migrating legacy Hadoop/Snowflake/Redshift to Lakehouse. Familiarity with MLflow, Feature Store, and Databricks Model Serving. DataOps/CI-CD for notebooks and IaC (Terraform, Azure DevOps, GitHub Actions). Domain depth in one of our focus verticals (FinTech, Sports Analytics, Manufacturing, etc.). Experience with transactional data systems and stacks, such as Java, Spring Boot, Kafka, SQL Server, Postgres, MongoDB, as well as microservices, message queues, actor-models, event-driven architectures, etc. Experience consulting in any of the following vertical industries: Financial Services Healthcare Retail/CPG Manufacturing Travel & Hospitality Experience working with ERP systems such as SAP, Oracle Netsuite, Microsoft Dynamics, JD Edwards, Oracle, Sage, Workday, etc. Engineering certifications in Databricks (beyond pro), Azure, AWS, GCP, Snowflake, and related tools. Experience serving as a consultory liaison between clients and our technical teams. Engage with senior-level stakeholders to understand their business challenges and articulate clear, compelling technical solutions aligned with their strategic goals. Self-starter, proven abilities leading complex client engagement deliveries, often with ambiguity and little direction. Masters, MBA, or other advanced degree a plus. Benefits: 401k Matching Unlimited PTO 100% remote role with an option for hybrid Healthcare, Dental, Vision, and Life Insurance Paid parental/bereavement leave Home office stipend Salary : 165,000 - 185,000 annual salary (USD $) Background checks may be required for certain positions/projects. Blue Orange Digital is an equal opportunity employer.

Posted 30+ days ago

Business Analyst (Data Governance and Data Quality Management)

iSoftTek Solutions IncAuburn Hills, MI

Job Title: Business Analyst (Data Governance and Data Quality Management) Location: Auburn Hills, MI. Must be local or relocation (out of pocket from day 1). No exceptions. HEAVY preference for locals in this group. NO West Coast candidates (PST) will be considered Duration: Long-term Job Type: Contract – W2 Work Type: Hybrid/Onsite Hybrid / on-site 2 days a week in Auburn Hills, MI NOTE: Highlighted Job duties ARE the REQUIRED SKILLS , please make sure that they have details around these types of duties clearly outlined in their resumes. Thank you. Location: Auburn Hills, MI (at least two days on site per week) Business Analyst (Data Governance and Data Quality Management) · Partner with Data Stewards and Information Architects in support of Data Governance and Data Quality Management activities for the Chief Data & Analytics Office. · Collaborate with business and technical stakeholders to query/research data sources, and analyze data for various initiatives, include regulatory and operational reporting. · Responsible for researching, gathering, and documenting data, metadata, and reference data in our Collibra Data Catalog to ensure it aligns with regulatory expectations. · Meet with various stakeholders to gather information, facilitate meetings, conduct research, and document information . · Financial Services / Banking experience preferred . Kindly please share your resumes to ‪ srikar@isofttekinc.com or ‪(707) 435-3471

Posted 3 weeks ago

Data Scientist / Senior Data Analyst

IntegraFECAustin, Texas

Integra is a litigation and economic consulting firm that exists to restore integrity to the financial system through forensic data analytics. We work with government agencies and law firms in their efforts to combat a wide array of financial fraud, in areas ranging from securities to healthcare to crypto assets. We are looking for strong candidates with quantitative and financial backgrounds and a natural curiosity to learn to join our team and help tackle complex projects by efficiently analyzing data. Job Description Plan, develop, and take ownership in data-intensive investigations related to financial fraud Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to analyze potentially fraudulent conduct Summarize and present findings to technical and non-technical audiences, through long-form reports, charts and slides Anticipated to grow toward managing projects and communicating with clients Qualifications 3-5 years of work experience at an economic consulting or management consulting firm Background in statistics, mathematics, engineering, computer science, data science, accounting, finance, economics, or other quantitative field Demonstrated experience with R, Python, and/or SQL Attention to detail Intellectual curiosity and interest in fraud analysis Highest ethical standards Strong teamwork abilities Preferred Excellent skills in R, Python, and/or SQL Prior experience managing projects for clients or strong desire to grow into a project management role Knowledge of financial concepts and principles Knowledge of crypto, decentralized finance, or smart contracts Demonstrated aptitude for research Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Posted 5 days ago

Staff Data Security Engineer - Nutanix Data Lens

NutanixSan Jose, California

Senior Staff Engineer, Data Security- Nutanix Data Lens Hungry, Humble, Honest, with Heart. The Opportunity This is a high-visibility opportunity to join Nutanix's Unified Storage Group as the in Nutanix Data Lens (NDL). In this role, you’ll lead strategic product innovation and development of next-generation data management, security, and compliance solutions. You will architect and guide the evolution of critical security features including ransomware protection, data classification, and anomaly detection. This position offers significant career growth potential, providing the chance to expand influence across the entire Nutanix HCI portfolio and shape enterprise-grade data security strategies leveraging cloud, Kubernetes, and advanced analytics. About the Team The Nutanix Unified Storage Group is dedicated to pioneering advanced data management, security, and compliance solutions to empower enterprises in navigating complex storage ecosystems. The Data Lens team is a dynamic, globally-distributed group, passionate about leveraging cloud-native technologies, containers, and AI-driven analytics to deliver transformative solutions that protect and optimize enterprise data assets. Under leadership recognized for collaborative innovation and a bias for action, team members thrive in a culture of ownership, technical excellence, and mutual support. Your Role Lead architecture, design, and innovation of critical data security solutions including ransomware protection, data classification, and anomaly detection for Nutanix Data Lens. Collaborate directly with product management, customers, and engineering teams to deliver scalable, customer-driven security products and features. Provide hands-on technical leadership, mentoring junior engineers and accelerating development processes to enhance product performance and market readiness. Engage cross-functionally to ensure alignment with broader Nutanix product ecosystems and drive a strategic roadmap for unified HCI-wide data security solutions. What You Will Bring Bachelor’s or Master’s degree in Computer Science or a related technical discipline. 12+ years of proven experience in product engineering and architecture, specifically within data security domains (ransomware protection, data classification, anomaly detection). Demonstrated success developing scalable, enterprise-grade software products, deployed and utilized by multiple enterprise customers. Hands-on programming and software development skills in Golang and Python within Linux-based environments. Deep expertise in cloud services, containerization (Kubernetes), and microservices architecture. Solid understanding of public cloud platforms and associated service ecosystems. Proven track record mentoring technical teams and leading complex projects with multiple stakeholders across product management and customer success teams. Work Arrangement On Site: This role is based on-site, offering the opportunity to collaborate face-to-face with team members in a dynamic and engaging work environment. Being physically present allows for seamless teamwork and direct access to resources that support your success. Additional team-specific guidance and norms will be provided by your manager. The pay range for this position at commencement of employment is expected to be between USD $ 182,400 and USD $ 364,800 per year. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith. --

Posted 2 weeks ago

Lead Data Engineer - Data Test Automation

Truist BankSan Diego, California

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: We are seeking a highly skilled and experienced Lead Software Engineer to join our Data Engineering team. This role is responsible for leading the efforts in test and test automation, designing, developing, and automating enterprise-level operational data systems and analytic data marts. The ideal candidate will bring strong leadership, technical expertise, and a passion for delivering high-quality data solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 1. Develop customized coding, software integration, perform analysis, configure solutions, using tools specific to the project or the area. 2. Lead and participate in the development, testing, implementation, maintenance, and support of highly complex solutions in adherence to company standards, including robust unit testing and support for subsequent release testing. 3. Build non-functional monitoring capabilities and provide escalated support for highly complex applications in production. 4. Build in and maintain security controls and monitoring in support of company standards. 5. Typically lead moderately complex projects and participate in larger, more complex initiatives. 6. Solve complex technical and operational problems. Act as a resource for teammates with less experience 7. May oversee the work of a small team. 8. In an Agile environment: Responsible for delivering high quality working software and automating manual/reusable tasks working directly, and engage with, the business from the beginning of the design work. Leverage continuous engineering practices to deliver business value regarding effectiveness of the design. Actively participate in refining user stories. Responsible for design, developing, and maintaining automated unit testing, and supporting integration and functional testing. Responsible for providing automated monitoring capabilities, providing warranty support, and providing knowledge transfer to production support. Develop code in accordance with the acceptance criteria established by the Product Owner. Key Responsibilities: Lead and execute functional, integration, regression, and performance testing for data processes using industry-standard tools and technologies. Gather, analyze, and document functional and technical requirements, ensuring stakeholder alignment through effective communication and engagement. Design, develop, and enhance operational reporting and analytic data solutions in accordance with established frameworks and best practices. Develop and implement scalable, cloud-based data processing solutions. Maintain deep knowledge of application features and capabilities to support solution design and troubleshooting. Ensure solutions align with business requirements, architectural standards, and the broader technology ecosystem. Deliver high-quality business intelligence solutions on time and within scope. Collaborate with DBAs to support production environments and optimize system performance. Design, develop, and maintain automated unit tests; support integration and functional testing efforts. Implement automated monitoring and provide warranty support and knowledge transfer to production support teams. Develop code that meets acceptance criteria defined by the Product Owner. Actively contribute to technical discussions and decision-making in a collaborative team environment. Maintain and improve documentation and procedures throughout the software development lifecycle (SDLC). Provide subject matter expertise across multiple concurrent projects and throughout all development phases. Manage multiple tasks effectively in a fast-paced, dynamic environment. QUALIFICATIONS Required Qualifications The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. Bachelor’s Degree and six to ten years of experience or equivalent education and software engineering training or experience 2. In-depth knowledge in information systems and ability to identify, apply, and implement best practices 3. Understanding of key business processes and competitive strategies related to the IT function 4. Ability to plan and manage projects and solve complex problems by applying best practices 5. Ability to provide direction and mentor less experienced teammates. Ability to interpret and convey complex, difficult, or sensitive information Preferred Qualifications 3+ years of experience leading and contributing to the development, testing, and support of complex operational data systems, data warehouses, and ETL solutions. 5+ years of experience in database and data warehouse design and development. 3+ years of experience in designing and implementing automated testing for data processes. 5+ years of advanced SQL development, performance tuning, and troubleshooting (MS SQL Server preferred). 5+ years of advanced ETL development experience (MS SSIS preferred). Strong understanding of data warehouse design principles, particularly the Kimball methodology. Proficiency in object-oriented programming (OOP) methodologies. Strong development skills in Python, .NET/C#, or other OOP languages. Excellent communication skills, with the ability to document complex processes and communicate effectively with both technical and non-technical stakeholders. Strong work ethic and ability to work independently or collaboratively within a team. Quick learner with the ability to adopt new technologies and deliver cost-effective solutions. Experience with cloud-based data development (AWS preferred). Familiarity with version control tools such as TFS, GitHub, or GitLab. Experience working in Agile development environments. Proficiency in report development using tools such as MS SSRS, Power BI, or other leading BI platforms. Experience mentoring and coaching junior developers to support their technical growth. The annual base salary for this position is $100000 - $150000. The starting hourly wage for this position is N/A. OTHER JOB REQUIREMENTS / WORKING CONDITIONS Sitting Constantly (More than 50% of the time) Standing Frequently (25% - 50% of the time) Walking Frequently (25% - 50% of the time) Visual / Audio / Speaking Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone. Manual Dexterity / Keyboarding Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers. Availability Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need. Travel Minimal and up to 10% General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site . Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify

Posted 1 week ago

Data Integration and Data Operations Analyst

AQMetricsNew York, New York

Description AQMetrics is looking for a Data Integration and Data Operations Analyst to work with customers and cross functional teams at AQMetrics to continuously improve our data management capabilities in our SaaS platform. This is an opportunity to make a difference in a growing company. We are looking for an entrepreneurial individual who thrives on challenges and is looking for an opportunity to take AQMetrics data management products to the next level. Who We Are: AQMetrics is a leading provider of regulatory risk software to global financial institutions. Our SaaS platform is award-winning, and our range of products make regulatory risk management simple, secure, and globally compliant. What We Value: People First Putting people first is at the core of everything we do. It compels us to make decisions based on what is best for our people — employees, partners, and customers. Customer Delight We are customer focused. We strive to provide the best in class, to drive great customer experience through teamwork and high performance. Integrity We are committed to professional integrity. We conduct our business to the highest standards with skill, diligence and responsibility. Professional trust, honesty and compliance are at the core of our culture. Innovation We value ideas and encourage innovation every day. What you will do: Designing and Developing: Building and maintaining data pipelines that extract, transform, and load (ETL) data from various sources Data Integration and API Development : Implement integrations with internal and external data sources and APIs Collaborating with Teams: Working with cross-functional teams to gather data requirements and understand data sources Ensuring Data Quality: Implementing data quality checks and validation processes to maintain data integrity Monitoring and Troubleshooting: Overseeing data integration workflows to resolve issues and optimize performance Documenting Processes: Keeping detailed documentation of data integration processes, data flows, and system configurations Troubleshooting and Optimization: Maintaining the AQMetrics database Staying Informed: Keeping up with industry trends and best practices in data integration and management Providing Support and Training: Assisting end-users with data integration Requirements 1-3 years in a Data Analyst or Engineer role preferred Experience working collaboratively with application development teams to implement data mapping, data management and data integration solutions Good knowledge of database and data modelling techniques, and SQL proficiency. Experience troubleshooting databases and data issues using SQL Strong critical thinking skills and ability to analyze complex datasets Prioritization skills Focus on continuous improvement Storytelling skills. You can communicate your insights to your team, cross functionally and to Customers Linux experience and Shell scripting Experience with Amazon AWS and RDS BSc in Computer Science or Engineering degree, related technical discipline, or equivalent work experience Nice to have experience with data visualization tools Three days of in-office work per week is required Benefits Opportunity to be part of something special, AQMetrics is growing fast, and we want you to be part of our journey Remote Work People-centric culture Competitive salary 25 Days annual leave Health Insurance 401K Excellent holiday allowance Upskilling opportunities Flexible working What our Interview Process is like: Step 1- After you apply, our HR Manager may reach out to you for an introductory call Step 2- If your background is a match for the role, you may be required to complete a technical assessment (role depended) and/or phone interview with 1-2 people Step 3- If you continue through the process, you may be asked to come onsite to interview AQMetrics is an equal-opportunity employer. We are committed to an inclusive and diverse AQMetrics.

Posted 1 week ago

Data Scientist / Senior Data Scientist – Optimization (Federal)

C3 AITysons, VA

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI As a Data Scientist / Senior Data Scientist – Federal Optimization, you will partner with some of the largest and most mission-critical organizations in the world to design and deliver the next generation of AI-powered enterprise applications. Our team focuses on developing scalable, explainable optimization models and algorithms tailored to federal use cases across domains such as logistics, operations, resource planning, and more. You’ll work cross-functionally with data scientists, engineers, subject matter experts, and federal stakeholders to deliver full-lifecycle solutions: from translating client input into soft and hard constraints, to deploying robust, production-grade optimization tools on the C3 AI Suite. Qualified candidates should possess deep expertise in operations research and optimization. This role requires US Citizenship. Responsibilities: Research, design, implement, and deploy optimization solutions for enterprise applications leveraging the C3 AI Suite. Transform client requirements into mathematical formulations. Partner with cross-functional teams to translate optimization model insights into actionable strategies and measurable outcomes. Assist and enable federal customers to build their own optimization applications on the C3 AI Suite. Develop, maintain, and enhance optimization frameworks, libraries, and tools to ensure scalability and efficiency while contributing to the continuous improvement of the C3 AI Suite. Stay informed on state-of-the-art optimization techniques, promote best practices, and foster an innovative and collaborative work environment at C3 AI. Qualifications: U.S. Citizenship (and willingness to obtain a security clearance). Bachelor’s in computer science, Electrical Engineering, Statistics, Operations Research or equivalent fields. Strong foundation in optimization techniques (e.g., LP, MILP, MINLP) and solvers. Strong mathematical foundation (linear algebra, calculus, statistics, probability). Proficiency in Python and experience with mathematical programming libraries. Excellent communication skills and ability to work independently or in teams. Motivated, curious, and eager to learn about federal mission domains. Preferred Qualifications: MS or PhD in Operations Research, Applied Mathematics, Computer Science, Industrial Engineering, or a related field. Active TS/SCI with CI or Full-Scope Polygraph. Professional experience applying optimization in federal or customer-facing environments. Familiarity with commercial solvers (e.g., Gurobi), Git, and GenAI tools. Understanding of machine learning, deep learning, or reinforcement learning. Portfolio of relevant projects or publications. C3 AI provides a competitive compensation package and excellent benefits. Candidates must be authorized to work in the United States without the need for current or future company sponsorship. C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

Posted 3 weeks ago

Senior Data Analyst, Data Analytics

CurrentNew York, NY

Senior Data Analyst At Current, we’re on a mission to enable our members to create better financial outcomes for themselves. Headquartered in NYC, we’re a leading U.S. fintech and one of the fastest growing companies with over million members. No matter your title, we welcome everyone to build great products, grow quickly, and make an impact together. ABOUT THE ROLE We are looking for a Senior Data Analyst with experience in B2C/DTC Member Experience or Customer Success. In this role, you will use data to drive strategic decisions, improve business performance, and enhance our customer interactions to create a seamless user experience. You will use advanced analytics to find trends, evaluate performance, and deliver strategic insights that facilitate data-driven decision-making within the Member Experience team and across the organization. The ideal candidate has a deep understanding of customer behavior, a passion for data-driven decision-making, and a proven ability to translate insights into actionable strategies. RESPONSIBILITIES Analyze member experience data to identify trends, pain points, and opportunities for operational efficiency. Develop and maintain data pipelines, dashboards and reports to track key performance indicators (KPIs) that tie customer success effectiveness, member satisfaction, and engagement to business bottomline metrics. Utilize internal and third-party data to conduct in-depth analyses, identify gaps, mitigate friction and pain points, and optimize customer interaction across channels. Partner with cross-functional teams, including Product, Engineering, and Customer Success, and leverage such techniques as A/B testing and customer segmentation to enhance personalization and support strategies. Provide actionable insights to leadership on customer outreach behavior, support efficiency and satisfaction, and areas for innovation. Ensure data integrity, accuracy, and governance in analytics pipelines across multiple customer interaction channels. Participate in on-call rotation to support production analytics data pipelines. Mentor junior analysts and contribute to a data-driven culture within the team. ABOUT YOU 5+ years of experience in data analytics, preferably in fintech, banking, or a customer-centric industry. Strong proficiency in SQL, Python, or R for data analysis and manipulation. Experience building reports and dashboards using data visualization tools such as Tableau, Looker, or Power BI. Expertise in customer support analytics, customer satisfaction score (CSAT) analysis, and operational efficiency metrics. Experience in A/B testing, customer segmentation, and deep dive analysis in the context of informing business strategies from user behaviors. Excellent problem-solving skills and the ability to translate complex data into actionable insights. Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Strong project ownership and the ability to drive requirement gathering and prioritization. Experience with CRM systems (e.g., Zendesk) and customer feedback tools is a plus. Experience within the startup space is advantageous. Additional Skills and Qualifications Experience with Looker or other business intelligence tools is preferred. Exposure to dimensional modeling concepts to power meaningful analytics. Ability to visualize data effectively and communicate insights clearly and concisely. Experience modeling data using dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience working with Fintech, banks or a B2C company. This role has a base salary range of $150,000 - $200,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Stock options 401(k) savings plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Unlimited time off and paid holidays Generous parental leave policy Commuter benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

Posted 3 weeks ago

Data Engineer (Data Warehouse)

Betsson GroupAthens, GA

About the job Our Data Team is looking for a Data Engineer to make a difference in the further development of our Data Warehouse solutions, designing and developing our data platform for the business needs. You will have an opportunity to make a difference in the development of our Data Platform The Wow In this role, you will contribute in designing and developing our platform to fulfil the business needs and to also improve our systems. You will have the chance to design new data pipelines, maintain platforms hosted both on premise and cloud, manage real-time API integrations and apply transformations on data streams for batch-loading and real-time visualisations. For any Technical Data wiz out there, Betsson Group is the next step! This is the perfect environment to put your skills to the test by building a consolidated Data Platform with innovative features and most importantly joining a bunch of talented and fun group of people. A taste of what you will be involved in Maintaining and evolving our existing data platform; Involved in data integrations which includes internal data, 3rd parties, and also migrations; Ingestion of streaming data and applying transformations to data streams; Being involved in data modelling following data standards such as Inmon and Kimball Ensuring data quality by verifying data consistency and accuracy; Keeping up to date on research and development of new technologies and techniques to enhance our data platform; Collaborating with the Data DevOps, Business Intelligence and other multi-disciplined teams within Betsson; Comfortable working in an agile environment involving SDLC; Familiar with the change and release management process; Have an investigative mindset to be able to troubleshoot – thinking outside the box when it comes to troubleshooting problems and incident management; Full ownership on projects and tasks assigned together with being able to work within a Team; Able to document well processes and perform knowledge sharing sessions. What We Are Looking For Experience with modern cloud database technologies such as Snowflake; Experience with orchestrating data pipelines using Airflow; Experience with SQL, and Data Integration Tools; Experience with any programming language like Python or Java; Knowledge on AWS Services like S3/Lambda/API Gateways/DMS/RDS; Development experience in both Microsoft, and Linux/Cloud environments; Have strong analytical and problem-solving skills; Nice to have Familiar with Data Warehousing concepts and data modelling techniques such as Inmon, Kimball, Data Vault; Familiar with data streaming using technologies such as Kafka; Familiar with software versioning tools like GIT; Familiar with infrastructure scripting like Terraform; Familiar with data flow systems such as Apache NiFi; Familiar with Data Monitoring and Visualisation tools such as Prometheus and Grafana, Cloudwatch; Scripting - Powershell, Unix Scripting What we offer Monthly Allowance for Lunch Private & Life Plan Insurance for you and your family Team Building Budget Annual Wellness Allowance Corporate Travel Insurance Events and initiatives both Local (Quarterly Meetings) and Global Professional Development Programs & Internal Career Opportunities Milestone Birthday Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Posted 3 weeks ago

Engineering manager, data platform

WatershedNew York, NY

About Watershed Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team. We have offices in San Francisco, New York, London and Sydney, and remote team members across the US and Europe. We hope that you'll be interested in joining us! The role Do you love to build great technology and great teams? Watershed is working to scale a world-class engineering team, and we’re hiring for an experienced Engineering Manager to help lead this work. You will join a team of peer Engineering Managers and technical leads to define the culture and practice of engineering at Watershed. We view hands-on engineering and engineering management as parallel career paths. We admire Engineering Managers who have a track-record as engineers, maybe pendulumed back and forth, and now want to grow as a technical leader focusing on people and product. Your job is to empower each engineer on the team to do the best work of their career-to-date. Each Engineering Manager is going to customize the role a bit — contributing a blend of technical, people, and product experience. As one of the early managers in our New York office, you’re setting culture not just for your team, but for the office as a whole. You, along with the rest of Watershed’s leadership and people teams, are responsible for building a diverse, inclusive, and hard-working organization. We are excited to work on this together! In this role, you will : Be a first line manager leading the Datasets and Objects team, a core platform team that owns our data lake and business intelligence tools. Manage a team of 9-10 engineers Inspire and lead the team through the next phases of growth ($100M+) Partner closely with Product, Design and GTM teams You might be a good fit if: 3-5+ yrs of engineering team management experience Have 8+ years of overall developer and management experience in total Have grown and managed teams of 8+ engineers Have a strong platform engineering background: building business specific systems that all other engineering teams use in a scaling company Good product sense, working closely with customers Must have B2B experience, and big plus to have enterprise SaaS experience Experience developing products is a plus A mix of scrappy startup and big company experience is a plus This position is required to be in person in our New York office. At Watershed, we strive to design consistent, fair, and competitive compensation programs. The total cash compensation range may be inclusive of several levels at Watershed and final offer will be determined by a number of factors, including the candidate’s skills, capabilities, and location, as well as scope of the role. The anticipated cash compensation range is in addition to a total rewards benefit package including equity, health/dental/vision insurance, 401(k), unlimited paid time off, paid parental leave, fertility, and mental health programs etc. Salary Range $227,000 — $275,300 USD FAQ Where does Watershed work? We have hub offices in San Francisco, New York and London, and some remote team members in the US and EU. Most of our jobs need to be in San Francisco / New York / London, but certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description. What’s the interview process like? It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience screen (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel after that if the screens go well. We prioritize transparency and lack of surprise throughout the process. What if I need accommodations for my interview? At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.

Posted 30+ days ago

Data Security Engineer

WhatnotSan Francisco, CA

🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values . With hubs in the US, UK, Ireland, Poland, and Germany, we’re building the future of online marketplaces—together. From fashion, beauty, and electronics to rare collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces , we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role The Data Security Engineer is responsible for developing and overseeing technology security systems to help protect those systems and associated ones from the effects of various kinds of cybercrime. Advance our customers' access to our applications and services by offering seamless access control mechanisms, advanced authentication methods, progressive profiling, and a consolidated identity. Developing plans for increased security across the systems. Putting various protections into place. Testing and re-testing systems for known vulnerabilities. Monitoring systems for security breaches. Investigating those breaches and any other anomalies. Design and implement scalable data protection solutions (e.g., encryption, tokenization, DLP, data masking) for structured and unstructured data. Support and enforce data classification, labeling, and handling policies aligned with regulatory and business needs (e.g., PCI-DSS, GDPR, CCPA). Manage data loss prevention (DLP) systems and drive incident response for data exfiltration or unauthorized access events. Integrate data security controls into CI/CD pipelines and DevSecOps frameworks. Perform risk assessments and threat modeling for data-related systems and flows. Collaborate with Infrastructure, Cloud, and AppSec teams to secure data at rest, in transit, and in use across diverse environments. Monitor emerging data security threats and recommend technical and procedural controls to mitigate risk. Partner with Compliance and Legal teams to ensure audit readiness and support data privacy initiatives. Maintain detailed documentation of data security architecture, standards, and controls. US Based: Team members in this role are required to be within commuting distance of our San Francisco hub. 👋 You Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. As our Data Security Engineer you should have a minimum of 7+ years of relevant experience in security preferably in a large enterprise environment, plus: Bachelor’s degree in Computer Science, computer engineering, cybersecurity, a related field, or equivalent work experience. 7+ years of experience in cybersecurity, with at least 2 years focused specifically on data security. Hands-on experience with one or more of the following: DLP platforms, encryption and key management, CASB, and data tokenization/masking tools. Strong understanding of data privacy regulations and standards (e.g., GDPR, CCPA, SOX, NIST). Familiarity with cloud platforms (AWS, GCP) and securing cloud-based data stores (e.g., S3, RDS, Snowflake). Ability to write and review secure infrastructure-as-code (e.g., Terraform, CloudFormation) and scripting (e.g., Python, Bash). Excellent communication skills with the ability to translate technical risks into business language. Self-motivated and creative problem-solver able to work independently with minimal guidance. Strong ability to work collaboratively across teams during high-stress situations. Ability to manage multiple competing priorities and use good judgment to establish an order of priorities on the fly. 💰Compensation $215,000/year to $260,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) Health Insurance options including Medical, Dental, Vision Work From Home Support Home office setup allowance Monthly allowance for cell phone and internet Care benefits Monthly allowance for wellness Annual allowance towards Childcare Lifetime benefit for family planning, such as adoption or fertility expenses Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally Monthly allowance to dogfood the app All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). Parental Leave 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

Posted 30+ days ago

Data Scientist (Intermediate and Senior)

Spry MethodsWashington, DC

Who We’re Looking For (Position Overview:) Spry Methods is seeking Senior and Intermediate Data Scientists to support national security initiatives by delivering actionable data-driven insights. You will collaborate directly with investigators and analysts to understand complex data challenges, apply advanced analytical methods, and deliver results that impact critical missions. What Your Day-To-Day Looks Like (Position Responsibilities): Collaborate with non-technical users to translate mission needs into data science solutions. Design and lead machine learning, statistical modeling, and data analysis projects. Perform ETL (Extract, Transform, Load) tasks to integrate and condition data from multiple sources. Conduct exploratory data analysis and feature engineering; interpret and validate model outputs. Innovate new methodologies for processing and analyzing large-scale or complex datasets. Develop software to improve data search, handling, and retention capabilities. Automate repetitive workflows and analysis procedures to streamline operations. Prepare reports and present findings with clear, actionable recommendations. What You Need to Succeed (Minimum Requirements): TS/SCI Clearance For Senior-Level Candidates: Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field. High proficiency in Python and a deep understanding of data science tools and methodologies. 5+ years of experience in data science or data analytics roles. Proven ability to independently lead complex analytical tasks and mentor junior team members. For Intermediate-Level Candidates: Bachelor’s or Master’s degree in a relevant field. Basic to intermediate proficiency in Python and familiarity with data science models. 2–4 years of relevant experience supporting data-driven projects. Ideally, You Also Have (Preferred Qualifications): Preferred Experience: Experience supporting national security or law enforcement missions. Familiarity with big data platforms and tools (e.g., Hadoop, Spark, Elasticsearch). Knowledge of data governance, security, and data quality standards in secure environments.

Posted 6 days ago

Oliver Wyman - Sr. Lead Data Scientist Or Principal Data Scientist

Marsh & Mclennan Companies, Inc.New York, NY

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Job Description

Boston, Chicago, New York, Dallas, Toronto, Montreal

Lead Data Scientist

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WHO WE ARE

Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients' top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies.

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PRACTICE OVERVIEW

At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges.

We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow's risks and can optimize operations for the future. Above all, we work collaboratively with our clients' leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results.

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THE ROLE AND RESPONSIBILITIES

Our clients drive our projects - and 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. As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, 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 through collaboration with other OW Digital specialists and consultants.

Your responsibilities will include:

Exploring data, building models, and evaluating solution performance to resolve core business problems
Explaining, refining, and collaborating with stakeholders through the journey of model building
Keeping up with your domain's state of the art & developing familiarity with emerging modelling and data engineering methodologies
Advocating application of best practices in modelling, code hygiene and data engineering
Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development
Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities

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YOUR EXPERIENCE & QUALIFICATIONS

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

Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science
Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including:
Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.)
Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably
Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly
Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including:
Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc.
Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome
A history of compelling side projects or contributions to the Open-Source community is valued but not required
Solid theoretical grounding in the mathematical core of the major ideas in data science:
Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.)
Fluency in the mathematical principles and generalizations of data science - e.g., Statistics, Linear Algebra and Vector Calculus
Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued
Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries

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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
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 for targeted client and/or internal stakeholder meetings

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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.

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 find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search. And please include a short note 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.

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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 $150,00 to $195,000.

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.

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