Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

Description Heidelberg University is accepting applications for an Assistant Professor of Computer Science and Data Analytics. The successful candidate will be a generalist who can teach a wide variety of undergraduate courses in computer science, data analytics, mathematics, and closely related areas. This faculty appointment includes a full-time teaching load, office hours, advising, committee work, research, and opportunities for continued professional development. This is a three-year appointment with the possibility of extension. The computer science, data analytics, and mathematics programs were recently integrated into the School of Natural Sciences and Nursing; candidates with a background in multiple disciplines who can contribute to and further develop interdisciplinary curricula are strongly encouraged to apply. Essential Duties and Responsibilities: Teach a full-time load (24 credit hours/year) which includes lecture and laboratory courses appropriate to their expertise. Utilize innovative and collaborative teaching methods in support of the program's mission and learning objectives that promote knowledge, critical thinking, and communication competency within the discipline. Attend school and university faculty meetings. Advise students in scheduling classes and making progress toward degree completion and career goals. Advise undergraduate student research projects. Contribute to school and interdisciplinary initiatives, including recruitment and retention efforts, and curriculum development. Participate in University activities including but not limited to: committee assignments and activities, extra- and co-curricular activities supporting student success and achievement in alignment with a liberal arts tradition, and professional development activities which personally and academically enhance a professional academic career. Perform other essential duties as assigned/as outlined in the Faculty Manual. Supervision Received: Reports directly to the Chair of the School of Natural Sciences and Nursing. Supervision Exercised: May supervise student research conducted in the school or students working as teaching/prep assistants (TAs). Core Values and Personal Attributes: Core values - models leadership values of integrity, honesty, humility, transparency, respectfulness, diversity, caring, loyalty and accountability in all work. Intellectual dynamism - demonstrates mental sharpness, capability and agility. Self-knowledge - gains insight from successes and mistakes. Personal learning - seeks feedback and counsel to improve managerial behavior. Peer relationships - encourages collaboration and cooperation across the organization. Teamwork - performs most effectively as a hard-working member of a team. Constituency focus - completes work to meet constituencies' expectations and requirements. Community focus - brings a spirit of enthusiasm and energy to the campus and town. Requirements Education and Professional Experience: Master's Degree in computer science, data analytics, or a closely related field. Teaching/Instructional experience in the areas above. Familiarity with small liberal arts student-focused institutions. Preferred Education and Experience: Ph.D. or ABD in computer science, data analytics, data science, or mathematics. Documented background in the related instructional area. Two years of college-level teaching experience. Necessary Knowledge, Skills, and Abilities: Ability to relate to a diverse cross-section of individuals. Must demonstrate analytical and strategic thinking abilities. Demonstrated strong commitment to student-centered active learning and student engagement activities. Demonstrated experience, knowledge, and appreciation for a liberal arts tradition. Commitment and a demonstrated record of academic excellence with professional and personal integrity. Demonstrated excellent interpersonal, written, and verbal communication and problem-solving skills. A demonstrated work ethic that promotes teamwork, enhances creativity and motivation and builds consensus in a high-energy and high-task environment. Ability to manage several projects simultaneously. Ability or willingness to learn to manage class in an online learning modality Tools and Equipment Used: Knowledge of operation and use of various office equipment, including, but not limited to: personal computer, including spreadsheet and word processing software, integrated database software, fax machines, copier, telephone, scanner, and printers. A valid driver's license may be required. Physical Demands: While performing the duties of this job, the employee is frequently required to use arms, hands and fingers to operate and manipulate equipment generally found in an office setting. The employee may be frequently required to be mobile, communicate, and hear. The employee may occasionally be subject to a variety of outdoor environmental conditions including heat, cold, and precipitation. The employee must frequently lift and/or move up to ten (10) pounds and occasionally lift and/or move more than fifty (50) pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Mental demands include varied degrees of occasional stress while performing job duties. Work Environment: While performing the duties of this job, the employee frequently works in an office setting, and educational facilities including sports and entertainment venues, all of which may be indoor or outdoor. The noise level in the work environment will range from moderately quiet to occasionally loud. Application Process: To apply, please submit the following materials: A cover letter addressing your qualifications and interest in the position. Curriculum vitae. A statement of teaching philosophy and evidence of teaching effectiveness (e.g., student evaluations). Contact information for three professional references.

As a family company, we serve people and communities. When you work at Meijer, you're provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family - take care of your career and your community! Meijer Rewards Weekly pay Scheduling flexibility Paid parental leave Paid education assistance Team member discount Development programs for advancement and career growth Please review the job profile below and apply today! The Analytics Center of Excellence (COE) team are responsible for developing analytics-driven solutions across Meijer's organization to help enhance decision quality, improve efficiency, enrich the customer experience and drive value. The Advanced Analytics Associate Manager is a leadership role in an Agile environment, responsible for developing a high functioning team while coaching analysts at various levels to support skills development and career growth. The Advanced Analytics Associate Manager is responsible for planning and managing all projects within assigned areas to deliver business value. What You'll Be Doing: Deliver material impact to the organization's performance though: providing advanced analytical support for Meijer leadership teams; identifying and championing analytics-based business opportunities; developing analytic approaches & reports that improve the efficiency and impact of the Meijer organization. Lead the development and implementation of advanced analytics & data science including customer segmentation, optimization, predictive analytics, prescriptive analytics, and machine learning algorithms & recommendations to solve business problems. Manage a team of high performing Data Scientists & Advanced Analysts working within an Agile framework. Lead talent development, including active coaching to support team member's technical and functional skills and career growth. Develop and maintain an analytics roadmap that supports business objectives. Manage relationships with business partners and external vendors. Assess project viability and recommend strategies and tactics to satisfy customer needs. Manage the execution and delivery of projects. Provide direction to project teams and integrate activities with other Analytics & IT functions to ensure successful implementation and support of project efforts. Facilitate the removal of agile train blockers and impediments. Ensure that application systems are developed in a way that complies with security and architectural standards and established methodologies. Monitor, communicate and report to Analytics, IT and user/customer management on the status of multiple, concurrent project efforts. Responsible for identifying and hiring top talent. This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required. What You Bring with You (Qualifications): Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Data Science, Economics, or related quantitative field. 6+ years of relevant advanced analytics & data science experience in an applied role - preferable w/in retail, logistics, supply chain or CPG. Advanced and hands-on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK. Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub. Solid experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or econometric time series models. Demonstrated leadership skills and possessing a track record of managing technical staff (cross-functional experience highly desirable). Familiarity managing budgets and understanding impact of financial decisions to P&L. Experience in one or more of the following is preferred: Demonstrated ability to build and develop teams Demonstrated strong abilities in relationship management Exposure to a wide variety of project management methodologies and frameworks with a deep understanding of agile development methodologies Have successfully developed and implemented analytic applications in new computing architecture environments using new and emerging technologies Demonstrated ability to manage multidiscipline, high-performance work teams and development groups Demonstrated competency in the execution of multiple projects, including managing resources across multiple projects to meet goals. Developed efficient and effective solutions to diverse and complex business problems Ability to work effectively under tight deadlines

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Sr Director, Head of Data Science & Digital Health- Therapeutics Discovery This position has a primary location of Spring House, PA and is also open to Cambridge, MA. Travel: Up to ~25% domestic/international Reports to: VP, R&D Data Science- DPDS Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Role Overview We are seeking a Senior Director to lead our Data Science and engineering strategy for our R&D Therapeutics Discovery (TD) organization. This role will partner closely with TD leadership, data scientists embedded in the TD teams, and our IT partners to streamline Discovery data automation, deliver robust data products, and scale advanced analytics and AI capabilities across the portfolio. You will shape how discovery data is captured, integrated, and leveraged to accelerate decision-making and innovation. This position requires a visionary leader who can align TD's data strategy while ensuring interoperability with other departments such as Preclinical Sciences & Translational Safety (PSTS), Therapeutics Development & Supply (TDS), and all our Therapeutic Areas. Key Responsibilities Develop and execute a comprehensive data strategy for TD, focusing on advanced automation, data integration, and FAIR data practices; in close alignment with TD and IT. Lead the design and implementation of scalable data pipelines to support discovery workflows. Partner with TD leaders to build strong external partnerships with industry consortia and academic partners pertaining to Data Science needs for TD. Co-Champion data governance, analytics, model lifecycle management (MLOps), and Responsible AI standards into reusable capabilities that can be shared elsewhere in the organization. Lead a core team of data scientists and engineers to support TD in reaching its strategic goals. Collaborate with TD teams (such as: In Silico Discovery and Discovery Technologies & Molecular Pharmacology), IT, R&D Data Science, and external partners to jointly introduce emerging technologies such as generative and agentic AI, multimodal analytics, and advanced automation tools that benefit TD's business objectives. Collaborate with TD teams (such as: In Silico Discovery and Discovery Technologies & Molecular Pharmacology), IT, R&D Data Science, and external partners to jointly introduce data and technology innovation standards. Works with peers across Discovery, Product Development, & Supply (DPDS) and our Therapeutic Areas to generate and analyze our data in the best way possible for opportunities in Therapeutic Discovery (for example: experiment design, molecule design, lab process automation, etc.) Qualifications PhD or equivalent experience in Computational Biology, Chemistry, AI/ML, Applied Math/Statistics or related field. 12+ years in data science for drug discovery, with experience leading teams in a matrix setting. Proven expertise in creating high impact R&D innovations through data science, data engineering, and automation within scientific domains. Strong experience leading the application/creation of ML/AI methods while demonstrating a deep understanding of drug discovery workflows. Demonstrated success in delivering interoperable data products and scalable analytics platforms. Excellent communication and matrix leadership across scientific, technical, and business stakeholders in a global organization. Leadership Attributes Strategic Vision: Ability to anticipate future trends in data science and drug discovery and translate them into actionable strategies. Collaborative Influence: Skilled at building consensus and driving alignment across diverse scientific and technical teams. Innovation Mindset: Passion for leveraging emerging technologies to solve complex scientific challenges. Talent Development: Commitment to mentoring and growing a high-performing team of data scientists and engineers. Communication Excellence: Ability to articulate complex technical concepts to non-technical stakeholders and executive leadership. Ready to make an impact? Join us in shaping the future of Therapeutic Discovery at Johnson & Johnson! Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Business Alignment, Compliance Management, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking The anticipated base pay range for this position is : $196,000.00 - $342,700.00 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation- 120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Colorado- 48 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year Holiday pay, including Floating Holidays- 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave- 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave- 80 hours in a 52-week rolling period10 days Volunteer Leave- 32 hours per calendar year Military Spouse Time-Off- 80 hours per calendar year he following link to general company benefits information MUST also be included in the posting: Please use the following language: For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

Make your mark for patients To strengthen our Global Advanced Analytics team, we are looking for an adaptable, collaborative individual with an intrapreneurial mindset for our Analytics Lead opening. The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business. This hybrid role is based in our Atlanta, GA, Raleigh, NC or Boston, MA offices, requiring 40% onsite presence. About the role You will be responsible for making exceptional business impact with the use of secondary data and insights development through advanced analytics methods, enabling an increased use of data and, where applicable, reducing the necessity for building primary data. You will also be responsible for managing and implementing advanced analytics/AI projects to ensure successful delivery. You will oversee the ongoing operations of advanced analytics solutions to ensure that models continue to work and scale them up with additional demand and applications. You will serve as the subject matter expert for Advanced Analytics/AI capabilities in support of business needs. Who you'll work with You will work with the Global Advanced Analytics Team Leads, US and Global Go-to-Market Teams, Integrated Insights Hub Leads, as well as business stakeholders in the Patient Value Units. Externally, you will work with payors and analytics vendors that support data science projects. The mission of this role is to deliver data-driven actionable insights from advanced analytics that create high impact patient value. What you'll do Analytics Leadership: Provide clear expertise for opportunities to leverage advanced analytics, especially where they are advantageous to reducing the need for primary data or have high marginal impact Deliver the most impactful data and analytics projects that: address the most compelling business questions, and/or identify new opportunities for patients and UCB through effective visual displays of quantitative and qualitative information Partnership and Collaboration: Be the key strategic partner for the Go-to-Market or functional stakeholders and co-create plans and priorities for data and advanced analytics with them together with the Go-To-Market Hub Leads. Ensure tight relationships and collaboration with IT, Data Office, and other Analytics teams using relevant data sources Team Leadership. Serve as a mentor and guide to more junior data scientists and translators in demonstrating the application of cutting-edge analytics, clear communication and presentation of insights and practical/pragmatic implementation of key recommendations Drive the execution of regional and local data-driven insights research and data analytics plans and priorities Foster a strong data science community with significant business acumen and communication skills across Hubs and EngineSupervise the conduct of advanced analytics studies in a collaborative manner ensuring that the study methodology is appropriate to deliver reliable results. Improve the team's partnership with, and impact on, key internal (UCB) and external stakeholders within the specific area of focus by: developing and executing a communication and collaboration plan with key UCB stakeholders increasing personal and the Advanced Analytics team's knowledge of the business by ensuring that she/he and each team member has direct interaction with patients and/or other external stakeholders Attract, retain, motivate, and develop key talent for the Advanced Analytics team; coach and develop team members Drive deep partnership with the Hub insights team and other "fellow" Engines and insights generating functions (e.g. regional analytics teams) allowing for a joined delivery of cross-functional, deep impactful insights Be a champion for a data-driven, decision-making culture Interested? For this role we're looking for the following education, experience and skills Minimum Experience/Skills Required: Bachelor's degree in quantitative area Minimum of 8-10+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc, and data transformation such as data cleansing and integration, fuzzy matching, etc. Minimum of 8-10+ years of experience developing program/project plans and leading programs/projects from initiation to implementation Minimum of 8-10+ years of experience with programming and application development using Python or R Preferred Experience/Skills: Master/Doctor's degree in quantitative area Knowledge of pharmaceutical industry, ideally specialty pharma and biologic treatments Deep expertise in leveraging data science methodologies within the Go-to-Market sphere of the pharmaceutical industry. The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business Expertise in analyzing a range of large, secondary transactional databases, unstructured data or other computationally difficult challenges Mastery of project management skills You are a structured problem solver Possess an 80/20 mindset to push for fast model iterations Ability to interpret model results and identify potential model errors (e.g., overfitting, model bias, correlation vs causation) Global role, so willingness and flexibility to work across geographies / time zones (sometimes outside of core hours) Internal applicants should be in their current job for at least 12 months, must meet performance standards and are not on formal corrective/disciplinary process (PIP), warning, final warning, or compliance warning letters within the last 12 months. Please inform your Manager or your Talent Partner before applying to any internal job opportunities. Unless explicitly stated in the description, this role is hybrid with 40% of your time spent in the office, regardless of your current contractual agreement. If your current working arrangements differ, please contact your Talent Partner to discuss before submitting your application. UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel. Requisition ID: 92079 Recruiter: Parth Suthar Hiring Manager: Srihari Jaganathan Talent Partner: Cornelius Luedtke Job Level: MM II - MM I Please consult HRAnswers for more information on job levels.

Who We Are At adMarketplace, our mission is to deliver the most engaging consumer search experiences while empowering advertisers to measure media performance accurately. Today, millions of people worldwide engage with our exclusive, transparent media placements across the internet's leading browsers, shopping apps, and review sites. Our award-winning culture is built around five core values (known as our 5C's): Curiosity, Collaboration, Creative Conflict, Commitment, and Competitiveness. With these guiding values, adMarketplace seeks to empower our team to reach their full potential through continued learning, and the opportunity to do their best work. About adMarketplace adMarketplace operates the largest search advertising marketplace outside traditional search engines, enabling advertisers to reach high-intent consumers across the open web. Our platform is built on real-time auctions, performance optimization, and rigorous measurement-where understanding why things happen is just as important as what happens. As our products grow in complexity and scale, we are investing in a senior analytics leader who can uncover hidden problems, guide product strategy, and ensure decisions are grounded in clear, causal understanding of marketplace behavior. Role Overview: The Vice President, Data Science & Product Analytics is responsible for putting data at the center of great product and business decision-making at adMarketplace. This person will drive a culture of proactive insight generation-where the team finds issues before they become problems and identifies optimization levers. You will also partner closely with Product, Engineering, and Commercial teams to ensure insights translate into measurable product outcomes. This Person Will Own: Product analytics and performance diagnostics across the marketplace Deep-dive investigations into auction outcomes, click & conversion funnels, supply quality, advertiser ROI, financial analysis, user behavior, and ranking logic. Developing frameworks to surface hidden performance issues, inefficiencies, and optimization opportunities. Identifying problems, surfaces opportunities, and influences product direction-partnering closely with Product, Engineering, Design, FP&A and Commercial leadership. Product health measurement, opportunity discovery, and forecasting Executive-facing insights that shape roadmap priorities and investment decisions Diagnosing performance issues across auctions, ranking and relevance, and conversion funnels Analyzing supply-demand dynamics and marketplace balance Evaluating performance by advertiser, query, geo, device, and vertical segments Translating complex data into clear, prioritized problem statements for product teams Problem Discovery & Strategic Opportunity Identification: Actively surface previously unknown risks and opportunities Identify leading indicators of performance degradation or growth potential. Influence product strategy by connecting analytical findings directly to business impact, trade-offs, and expected outcomes. Guide product teams toward the highest-leverage opportunities using data-backed narratives Experimentation, Causal Measurement & Analytics Own experimentation, causal inference, and incrementality frameworks to ensure decisions are grounded in validated impact. Partner with Product, Engineering, and Data Engineering to design, run, and interpret experiments evaluating features, ranking changes, and marketplace policies. Standardize measurement, metrics, and reporting across product teams. Build scalable analytics and experimentation systems that deliver fast, trusted insights from complex event-level data and directly inform roadmap and investment decisions. Executive Storytelling & Decision Support: Product direction Marketplace policies Pricing and monetization decisions Prepare and deliver clear, compelling narratives that connect product behavior to business outcomes Required Skills & Experience: Deep expertise in product analytics and experimentation, including A/B and multivariate testing, incrementality and lift analysis, funnel and cohort analysis, and KPI forecasting Strong statistical foundation with the ability to interpret complex experimental and causal results Advanced SQL skills and experience working with large, event-level datasets; fluency with modern analytics, data platforms, and visualization tools (e.g., Tableau, Databricks, and similar). Strong product and business intuition, with a track record of influencing product strategy and connecting insights to growth, efficiency, and P&L impact Experience operating at the intersection of product, analytics, and business Demonstrated ability to lead senior analytical teams and clearly communicate complex insights to executive audiences Degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, or similar). 12+ years of experience in product analytics, data science, experimentation, or performance measurement Background in search, performance marketing, adtech, or large-scale marketplaces strongly Compensation Range: $300,000 - $350,000 + Bonus & Equity #LI-Onsite Join Us adMarketplace has been named as one of the best places to work in New York City by Built In and Crain's- the latter of which have recognized us the past three years straight! AMP is currently experiencing triple digit growth, and it's never been a better time to join our team! We offer a robust continuing education program, management training, regular company-wide lunch and learns, and well-defined career paths to ensure all our employees have an opportunity to grow. At adMarketplace, we play to win, but we learn from our setbacks. Our commitment to a collaborative environment means no one succeeds alone, and no one fails alone either. We know you've come to expect comprehensive healthcare, wellness programs, paid time off, commuter benefits, and 401k matching from any company, so it's a good thing we offer all of that and so much more. adMarketplace offers Summer Fridays, catered lunches, a fully stocked kitchen, ZogSports teams, happy hours and corporate retreats to encourage a strong work/life balance. No Third Party Recruiters. We do not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. This range represents the low and high end of the base salary someone in this role may earn as an employee of adMarketplace in the New York office. Salaries will vary based on various factors including but not limited to professional and academic experience; training; associated responsibilities; and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire.

The Company: Hearts & Science has been inspired by confident marketers seeking business advantage in a world of personalized digital marketing, where CRM and addressable channels converge, and decisions must be made in real time to aggregate effective reach and deliver the right message at the right time. Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation. Senior Director, Data Science The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients' business goals. Responsibilities External facing responsibilities: Partner with Planning & Investment teams to provide expert hands-on and well as strategic Data Science support across the entire campaign lifecycle. Build advanced ML models to cluster and segment audiences, scale and deploy custom audiences across various platforms/ publishers Run descriptive and diagnostic analyses to help measure campaign performance within clean rooms and/or other analytics platforms (e.g., Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.) Help develop strategic analytical roadmaps to institutionalize data driven outcomes Excellent project management skills with an ability to set and achieve goals, meet deadlines and act with a strong sense of urgency without compromising executional excellence Leverage technical (coding) expertise to help bring about process efficiencies Internal facing responsibilities: Build and present decks that provide a compelling narrative to decode complex analytical results to technical and non-technical audiences Help design and develop the DS practice knowledge repository and delegate tasks to junior resources to support vision Lead and train direct reports and manage their career progression Required Skills Hands-on programming language skills (SQL, Python, R, etc) Experienced in machine learning techniques, causal models, etc. to support the analysis of information Advanced presentation and communication skills Experience working with non-technical teams Clear understanding of digital clean rooms, and their related concepts and strategy Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online) Expert-level domain knowledge of business/industry Education and Experience A university degree in mathematics, computer science, statistics or related field, and 7-10 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting Knowledge of agency-side execution process is desirable, but not required #LI-CC2 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits. Compensation Range $120,000-$215,000 USD This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs. Review Our Recruitment Privacy Notice

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

At Suntory Global Spirits, we craft spirits of the highest quality and deliver brilliant experiences to people around the world. Suntory Global Spirits has evolved into the world's third largest leading premium spirits company ... where each employee is treated like family and trusted with legacy. With our greatest assets - our premium spirits and our people - we're driving growth through impactful marketing, innovation and an entrepreneurial spirit. Suntory Global Spirits is a place where you can come Unleash your Spirit by making an impact each and every day. What makes this a great opportunity? As the Senior Manager of Data Science & AI, you will shape the global AI and advanced analytics agenda by architecting and elevating enterprise-wide capabilities that transform data into strategic competitive advantages. Reporting to the Director of Data Science & AI, you will hold a high-visibility leadership role, partnering with senior leaders across Commercial, Finance, Supply Chain, Strategy, Marketing, and Operations to translate business strategy into AI-driven solutions that deliver measurable impact. Role Responsibilities Role Responsibilities Leadership and Strategy: Help to define and execute the enterprise Data Science & AI strategy in alignment with corporate objectives and the global analytics operating model. Champion an AI-driven culture by embedding advanced analytics and machine learning best practices into day-to-day operations and strategic decision-making processes across all business functions. Technical Excellence: Drive the evaluation, selection, and optimization of AI/ML platforms and oversee the design of scalable data science models, architectures, ML Ops frameworks, and governance systems that ensure model accuracy, reliability, and ethical AI deployment. Drive innovation by exploring and implementing cutting-edge AI technologies including generative AI, computer vision, and natural language processing for commercial applications. Stakeholder Engagement: Serve as trusted advisor to functional leaders and senior executives, translating complex business challenges into scalable predictive models and AI solutions. Design and deliver executive-level insights that accelerate data-driven decision-making and demonstrate clear ROI from data science and AI investments across the organization. Performance and Governance: Establish and monitor KPIs for adoption, data quality, system performance, and business impact; drive continuous improvement initiatives. Identify and mitigate risks related to AI bias, data privacy, regulatory compliance, and platform resilience. Build data science best practices, including code review standards, reproducibility, documentation, model governance, and knowledge-sharing frameworks. Organizational Capability Building: Promote a culture of data science literacy and AI governance across the organization, providing strategic guidance and advanced training to ensure understanding and adherence to AI best practices and ethical principles. Build and scale the data science function to support future organizational growth. Commercial Impact and Industry Expertise: Lead advanced analytics initiatives that drive sales productivity, revenue growth management (RGM), optimize brand investment effectiveness, enhance consumer insights, and improve operational efficiency. Apply deep understanding of global spirits market dynamics, consumer behavior, and regulatory requirements to deliver industry-specific AI solutions. Qualifications Education: Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Physics, or a closely related quantitative field. Advanced degree strongly preferred. Experience: Minimum of 10 years in Data Science, Machine Learning, or Advanced Analytics with progressive responsibility and demonstrated leadership impact. 8 or more years building and deploying production AI/ML solutions in enterprise environments. Proven success leading data science programs in a global CPG, beverage, or similar fast-moving consumer-goods environment preferred. Technical Proficiency: Deep expertise in machine learning, AI, and statistical modeling with proficiency in Python, SQL, and advanced analytics platforms. Working proficiency in cloud-native AI architectures (Google Cloud Platform, AWS, Azure), ML Ops, data engineering, and scalable AI deployment. Experience with generative AI, deep learning frameworks (TensorFlow, PyTorch), and modern AI development practices. Strong background in A/B testing, attribution modeling, demand forecasting, and recommendation engines preferred. Leadership and Communication: Proven leadership skills with the ability to manage cross-functional teams and communicate complex data concepts to non-technical stakeholders effectively. Demonstrated project management skills, including the ability to scope, prioritize, and deliver complex data science and AI initiatives on time and within resource constraints. Outstanding PowerPoint and presentation skills required. Strategic and Commercial Acumen: Strong strategic thinking and business acumen with the ability to translate AI/ML capabilities into measurable business value. Track record of delivering advanced analytics solutions that drive revenue growth, cost optimization, and competitive advantage. Innovation Mindset: A strong track record of leveraging emerging AI technologies and data science methodologies to drive transformational business outcomes and establish competitive differentiation. Preferred Qualifications Industry Knowledge: Deep understanding of the beverage and alcohol manufacturing sector, including global market dynamics, consumer behaviors, regulatory constraints, and distribution complexities. Salary Range - The salary range for this role, based in Chicago, Illinois is $135-145k, along with an annual bonus, 401K match, profit sharing, and medical and wellness benefits. The salary range is commensurate with the candidate's location, experience, and skillset. The range will vary if outside of this location. While relocation, immigration, and/or tax compliance support are not guaranteed, we may offer assistance to successful candidates depending on factors such as role requirements in accordance with company guidelines. At Suntory Global Spirits, people are our number one priority, and we believe our people grow together in diverse and inclusive environments where their unique insights, experiences and backgrounds are valued and respected. Suntory Global Spirits is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, military veteran status and all other characteristics, attributes or choices protected by law. All recruitment and hiring decisions are based on an applicant's skills and experience. Nearest Major Market: Chicago Job Segment: Supply Chain Manager, Supply Chain, Compliance, Marketing Manager, Data Management, Operations, Legal, Marketing, Data

At Franklin Templeton, we’re advancing our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic firm spans asset management, wealth management and fintech, offering many ways to help investors make progress toward their goals. Talented teams working around the globe bring expertise that’s both broad and unique. And our welcoming, respectful and inclusive culture provides opportunities to help you reach your potential while helping our clients reach theirs. Come join us in delivering better outcomes for our clients around the world! 2025 Undergraduate Summer Intern – Job Posting Department Title: Undergrad Intern – Investment Management Data Science Please read before applying: Start Date: All interns must start in office and in person on June 8, 2026. Anticipated End Date: August 14, 2026 – All interns must be in office and in person on their last day to return equipment. Interns must be located in the same location throughout the duration of their internship and are prohibited from returning laptop/equipment to a different office location or shipping their equipment back. Position Summary: Investment Management Data Science (IMDS) partners with investment management teams to provide data science and AI solutions to investment problems. Responsibilities include: Quantitative Research AI/ML Models Data Mining/Extraction Natural Language Processing/LLMs Data Visualization Our goal is to drive the adoption of data-driven investing and enhance the suite of data and analytics available to investment teams. This position will work on a current initiative to streamline LLM-based document analysis. IMDS is uniquely positioned to work across asset classes & investment teams. Our group gets exposure to a wide variety of investment processes and problems and employs a full-suite of data science solutions, while having access to cutting-edge tools. This person will have the opportunity to drive key Data Science and AI initiatives as part of a larger push towards data-driven investing. Team Culture: IMDS is a geographically diverse group, consisting of both US and India team members. We are one of the few groups that work directly with investment teams across entire organization. IMDS is a highly collaborative environment, both within the group and with our partners in the investment teams. This position will get direct exposure to research, risk, and portfolio management teams. An IMDS Intern at Franklin Templeton can expect to learn: Applications of modern data science to investing Direct experience working with LLMs/AI models Exposure to different asset classes/investment processes Key Responsibilities Can Include: Create useful and actionable insights using data and models Collaborate with investment teams and promote the usage of data in the investment process Drive the adoption of AI tools, contribute to the development of AI assistants Ideal Qualifications: Experience using Python and SQL required. Experience with Natural Language Process or Large Language Models preferred Progress towards undergraduate degree in Mathematics, Engineering, Data Science, Computer Science, Finance or related field Excellent communication skills with the ability to work independently Knowledge of capital markets Passionate about connecting investments insights to big data Drive for results with a startup mentality Ready to make moves? Apply today! Please be sure to attach your resume when submitting your application. Applications submitted without a resume will not be considered. Due to the high volume of applications we receive, we may not be able to respond to each applicant individually. If you're interested in more than one internship, we encourage you to apply to all positions that align with your interests. This is a full-time internship where students will work approximately 40 (dependent on state/location) hours per week and earn competitive hourly pay of $26 (dependent on location, function, and year in school) USD per hour. There are several factors taken into consideration in making compensation decisions including but not limited to location, job-related knowledge, skills, and experience. At Franklin Templeton, we apply a total reward philosophy where all aspects of compensation and benefits are taken into consideration in determining compensation. At Franklin Templeton, we’re advancing our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we provide opportunities to help you reach your potential while helping our clients reach theirs. Experience our welcoming culture and reach your professional and personal potential! Our culture is shaped by the variety of perspectives and experiences brought by talent from around the world. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life. Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com . In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.

Location(s): United States of America City/Cities: Atlanta Travel Required: 00% - 25% Relocation Provided: No Job Posting End Date: January 29, 2026 Shift: Job Description Summary: Candidates are encouraged to apply to 3 or fewer internship roles during a given internship recruiting cycle We’re seeking a Data Science Intern to apply analytics, machine learning, and automation to real-world manufacturing challenges. You’ll help improve efficiency, optimize inventory, and support sustainability across our global CPS network while gaining hands-on experience and mentorship in a collaborative environment. Function Related Activities/Key Responsibilities: Partner with CPS Data Engineers, Manufacturing, and GDI teams to understand business problems and translate them into analytical solutions. Collect, clean, and analyze large datasets from multiple sources (SAP, Azure Data Lake, Power BI, etc.). Develop and test machine learning or optimization models to support initiatives such as Kit Optimization, Complexity Analysis, and Inventory Benchmarking. Build clear visualizations and dashboards to communicate findings and recommendations to stakeholders. Support automation and scaling of analytics workflows in Databricks and Azure environments. Document methodologies, datasets, and models to ensure reproducibility and knowledge sharing. Present insights and recommendations to the Data Science and Manufacturing leadership teams. Education Requirements: Must be currently pursuing a Bachelor's or Master's degree or have graduated from their degree program no earlier than December 2025 in Data Science, Computer Science, Statistics, Industrial Engineering, or a related quantitative field. Related Work Experience: Strong programming skills in Python (pandas, scikit-learn, PySpark) or SQL. Experience with data visualization tools such as Power BI, Tableau, or matplotlib. Able to understand various data structures and common methods in data transformation. Familiarity with machine learning concepts, statistical analysis, and model evaluation techniques. Understanding of Azure Databricks, cloud-based data systems, or version control tools (GitHub, Azure DevOps) is a plus. Strong analytical mindset, attention to detail, and curiosity to explore data-driven insights. Excellent communication skills and ability to work collaboratively in a team environment Monthly Salary (undergraduate): $4,506 Monthly Salary (graduate): $6,066 Dates of Internship: May 18 - July 31, 2026 Location: Atlanta, Georgia Skills: Our Purpose and Growth Culture: We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Science Manager - REMOTE. In this role, you will influence how the platform supports safe interactions among users by guiding a dedicated team of analytics professionals. You will have the opportunity to drive strategic initiatives, improve processes, and ensure that safety metrics and insights are effectively communicated across teams. This is a vital role that combines technical management with the power of data-driven decision-making in a fast-paced environment. Your leadership will directly impact user experiences and safety perceptions while promoting a positive, engaged community among users. Accountabilities Directly manage a 6-person Analytics Data Science team across junior to senior levels, providing coaching, feedback, and development support. Participate in the Safety Leads group, building strong cross-functional relationships and contributing data-driven perspectives to safety strategy. Ensure quality of deliverables across the team through direct review or delegation, maintaining and improving existing processes. Enhance team capabilities in strategic impact through process improvement and stakeholder management. Formulate your own strategic view on safety improvements and advocate for change through thought leadership. Requirements Direct experience on Safety or Integrity teams at consumer tech companies, with background in content moderation and abuse detection. 2+ years directly managing teams of 3+ individuals with demonstrated ability to build high-performing data science teams. 5+ years in data science or analytics with proficiency in SQL and R or Python. Expertise in product analytics, experimentation, A/B testing, and product strategy. Excellent communication skills and ability to convey complex technical findings to various stakeholders. Experience with self-service analytics tools like Tableau, Looker, or PowerBI. Strong perspective in safety or risk domains with application of data science. Adopt a management philosophy that fosters autonomy and accountability within teams. Collaborative, low-ego approach with a bias towards action and learning. Benefits Competitive salary range between $248,000 to $279,000 + equity + benefits. Opportunities for professional growth and development. Flexible working environment with a strong commitment to inclusion. Engaging company culture focused on gaming and community. Access to comprehensive health and wellness benefits. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Belvedere Trading is a leading proprietary trading firm proudly headquartered in downtown Chicago. Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to Women and underrepresented groups frequently apply to jobs only if they meet 100% of the qualifications. We encourage you to break that mold and apply. No candidate is perfect; all have a lot to offer. We welcome your application. Core Values The secret to our award-winning culture is our Core Values: Team Belvedere, Me In Team, Own It, Iterative Innovation, and Passionate Discourse . We live and breathe these values every day. Our Stance Belvedere is an Equal Opportunity Employer and is committed to providing a non-discriminatory employment environment for its employees. Discrimination against employees and applicants due to race, color, religion, sex, national origin, disability, age, military, and veteran status is prohibited. Belvedere encourages initiatives to increase diversity and provide equal opportunity to all applicants and employees. Belvedere is committed to providing a positive environment in which team members are treated with respect, dignity, and courtesy. Our firm believes in a dynamic culture of inclusion and diversity, where people thrive on individual and organizational characteristics, values, experiences, and backgrounds. Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please. Any questions regarding the virtual recruiting process, please reach out to recruiting@belvederetrading.com.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! About the Role The Adobe Experience Platform (AEP) Product Success Engineering (PSE) team is seeking an innovative Director of Data Science & Engineering to build the data foundation, KPI frameworks, and predictive intelligence that power product adoption, customer health, platform performance, and operational efficiency. This is a high-visibility, 0-to-1 leadership role responsible for unifying Adobe’s product usage data and delivering insights that transform how we measure customer value and drive product success. You will lead a multidisciplinary team of Data Scientists, Analytics Engineers, and Platform Engineers to architect scalable data systems, develop predictive models, and enable data-driven decision-making across Adobe’s AEP portfolio. What You’ll Lead Data Strategy & Architecture Define and deliver the data science, analytics, and platform strategy for Product Success Engineering. Build a unified data foundation and governance model across diverse data sources. Evolve internal intelligence into customer-facing insights and dashboards. Team Leadership Build and grow a world-class 20+ person data organization. Establish team structure, operating processes, and career development paths. Partner cross-functionally with Product, Engineering, Operations, Finance, and Field teams. Data Platform & Engineering Architect end-to-end data pipelines, cloud data warehouse solutions, and real-time and batch analytics. Implement data quality, governance, privacy, and metadata standards. Enable scalable BI, ML, experimentation, and self-service analytics capabilities. Data Science & Analytics Develop models for customer health, adoption forecasting, and expansion. Build KPI frameworks for product usage, retention, platform performance, and operations. Drive advanced analytics, including segmentation, funnel insights, causal analysis, and experimentation. Business Intelligence & Insights Deliver dashboards and executive reporting that influence product and business strategy. Translate complex analyses into clear, actionable recommendations for senior leaders. Why Join the Team Lead a greenfield data organization shaping the future of customer success intelligence at Adobe. Drive impact on product adoption, retention, and value realization across the AEP + Apps ecosystem. Build high-visibility, high-impact capabilities with strong executive sponsorship. Work with cutting-edge data, ML, and cloud technologies at enterprise scale. Required Qualifications Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field, with 10+ years of experience in data science, analytics, or data engineering, including 5+ years in people leadership roles managing teams of 10+. 5+ years of hands-on experience in data science and ML, with expertise in predictive modeling, statistical methods, and model evaluation. Proven 0-to-1 data leader with a track record of building data foundations, teams, and analytics capabilities from the ground up. Deep technical proficiency across the modern data stack, including ETL/ELT, cloud data warehouses, dbt, Airflow, SQL, Python, ML frameworks, BI tools, and data governance. Experience architecting large-scale, cloud-native data platforms, real-time and batch pipelines, and integrating diverse SaaS data sources (usage, clickstream, entitlements, cost, CRM, and support). Strong background in B2B SaaS metrics, product analytics, customer lifecycle insights, and operating in high-growth, data-driven environments. Executive-level communicator with the ability to influence senior leaders, translate analytics into business insights, and build trusted cross-functional partnerships. Demonstrated success hiring and leading multidisciplinary data teams while scaling data maturity from foundational reporting to advanced analytics and predictive intelligence. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $186,500 -- $358,250 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $247,400 - $358,250 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice Jan 09 2026 12:00 AM If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

**Applicants must posses an active Top Secret clearance with SCI eligibility** MINIMUM SKILLS & EXPERIENCE: Experience and demonstrated knowledge in military Intelligence operations, processes, procedures, and authorities Provide personnel with strong Operations Research Systems Analysis (ORSA) qualifications to include experience in test design, measurement development, data collection, data analysis, and analytical report writing Minimum 9 years experience Strong writing and speaking skills

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home. Job Description As a valued contributor and Principal on our Internal Audit Innovation team, you will step into a newly created role designed to revolutionize how we approach internal audits. Leveraging the latest advancements in AI, data science, and predictive analytics, you will drive transformative change - shaping strategies, building innovative models, and implementing sustainable solutions that fundamentally enhance our audit processes and drive deeper assurance insights. Your expertise will be pivotal in redefining how we harness enterprise data, uncover insights, and proactively address risks, making a lasting impact on the organization’s ability to deliver assurance and value. THE IMPACT YOU WILL MAKE The Data Science Principal- Internal Audit role will offer you the flexibility to make each day your own while working alongside people who care so that you can deliver on the following responsibilities: Collaborate with senior leaders across business, product, and technology groups to understand business needs and advise on current capabilities, data availability, and alternative uses for highly visible initiatives that have high risk and complexity. Inform technical strategy development and planning related to statistical modeling capabilities. Support thought leadership on predictive analytic capabilities to enhance the delivery of business applications and support the integration of data and statistical models or algorithms. Apply innovative industry practices in research and testing to product development, deployment, and maintenance. Design, build, and deploy analytics and machine learning models to identify anomalies, predict emerging risks, and strengthen audit coverage. Develop and maintain data pipelines, ETL, workflows, and automation scripts to support ongoing assurance and continuous control monitoring. Perform hands-on data wrangling, feature engineering, and statistical analysis on large complex datasets. Design new modeling applications to support risk measurement, financial valuation, decision making, and business performance for products or initiatives. Create interactive dashboards and visualization tools to deliver insights directly to the audit teams and leadership techniques. THE EXPERIENCE YOU BRING TO THE TEAM Minimum Required Experiences 8 years experience in data science, analytics, or a related field. Master’s degree in Data Science, Economics, Math, Statistics, or a similar discipline. Experience analyzing large, complex datasets using advanced data mining techniques. Ability to collaborate with senior leaders across business, product, and technology groups to align data-driven solutions with strategic goals. Expertise in shaping technical strategy and planning for statistical modeling and predictive analytics. Proven success in designing and implementing models for risk measurement, financial valuation, decision-making, and business performance. Strong communication skills to explain complex concepts to both technical and non-technical audiences, including leadership. Proficiency in producing technical documentation, data visualizations, and presentation materials. Experience driving process improvement and automation for high-risk, high-complexity initiatives. Demonstrated ability to partner effectively with data engineering and data management teams. Desired Experiences PhD in a relevant field or equivalent experience. Leadership in predictive analytics and model integration into business applications. Familiarity with cutting-edge industry practices in research and product development. Expertise in enterprise-level risk and financial modeling. Strong mentoring and subject matter leadership in data science within large organizations. Internal Audit – Data Science- Principal Target Pay Range: $200,000 - $269,000 a year Qualifications Education: Master's Level Degree (Required) The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers. For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote. Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form . The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here . Requisition compensation: 200000 to 269000

Belvedere Trading is a leading proprietary trading firm proudly headquartered in downtown Chicago. Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to Women and underrepresented groups frequently apply to jobs only if they meet 100% of the qualifications. We encourage you to break that mold and apply. No candidate is perfect; all have a lot to offer. We welcome your application. Core Values The secret to our award-winning culture is our Core Values: Team Belvedere, Me In Team, Own It, Iterative Innovation, and Passionate Discourse . We live and breathe these values every day. Our Stance Belvedere is an Equal Opportunity Employer and is committed to providing a non-discriminatory employment environment for its employees. Discrimination against employees and applicants due to race, color, religion, sex, national origin, disability, age, military, and veteran status is prohibited. Belvedere encourages initiatives to increase diversity and provide equal opportunity to all applicants and employees. Belvedere is committed to providing a positive environment in which team members are treated with respect, dignity, and courtesy. Our firm believes in a dynamic culture of inclusion and diversity, where people thrive on individual and organizational characteristics, values, experiences, and backgrounds. Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please. Any questions regarding the virtual recruiting process, please reach out to recruiting@belvederetrading.com.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Director - Knowledge & Literacy Lead . This position has a primary location of Titusville, NJ but is also open to Springhouse, PA; New Brunswick, NJ; and Boston, MA. This position will require up to 25% travel. This position is also open to select EMEA sites. For candidates interested in Madrid, Spain or Zug, Switzerland please use requisition: R-043000 Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine . About Johnson & Johnson Innovative Medicine Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Our R&D spans oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. We are committed to helping people live longer, healthier lives through first-in-class medicines and transformative innovation. Learn more at janssen.com . About the Role We are seeking a Director, Knowledge & Literacy Lead to drive the enterprise-wide flow of AI insights across Johnson & Johnson. This role ensures that AI-related knowledge is curated, contextualized, and made accessible to inform strategic decision-making and accelerate confident adoption across R&D. This position focuses on knowledge architecture, strategic insight development, and internal storytelling. The ideal candidate will possess deep technical fluency in AI, a strong scientific background, and the ability to translate complex developments into compelling narratives that resonate with diverse stakeholders. Key Responsibilities Executive Insight Development : Partner directly with the Chief Data Science Officer (CDSO) to develop high-impact executive briefings, strategic overviews, and thought leadership materials that synthesize emerging AI trends and their implications for R&D. AI Intelligence Translation : Monitor global AI advancements on a weekly basis and translate technical developments into strategic insights tailored to the needs of senior R&D leaders. Internal Innovation Storytelling : Collaborate with DSDH teams to identify, shape, and amplify internal AI tool success stories—crafting narratives that highlight their strategic value to R&D. Knowledge Architecture & Dissemination : Design and evolve a knowledge-sharing framework that ensures timely, structured, and scalable access to AI insights across the enterprise. Cross-Functional Collaboration : Engage with scientific, technical, and business stakeholders to identify knowledge gaps and deliver tailored, high-value content that supports AI literacy and adoption. Innovation in Communication : Leverage digital platforms and novel formats (e.g., interactive dashboards, visual storytelling, microlearning) to enhance the reach and resonance of AI insights. Qualifications PhD or equivalent advanced degree in a relevant scientific, technical, or data science discipline. Minimum 8 years of experience in pharmaceutical, biotech, healthcare, or life sciences, with at least 3 years in a strategic, consulting, or executive advisory capacity. Deep understanding of AI/ML technologies, including generative AI, and their application in R&D. Proven ability to synthesize complex technical information into clear, actionable insights for senior leadership. Strong storytelling and communication skills, with experience developing executive-level presentations and strategic narratives. Demonstrated success in cross-functional collaboration, particularly with data science, digital health, and R&D teams. Experience with knowledge management systems, digital communication tools, and insight dissemination platforms. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $160,000 - $276,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning

Position Summary... What you'll do... Why Sam’s Club MAP? At Sam’s Club, we are member obsessed. We look to add value to the Sam’s Club membership, and we partner with suppliers to bring unique and exciting values to our members. The Sam’s Club Member Access Platform (MAP) is the nexus of the Supplier- Marketer- Merchant partnership and is responsible for delivering our suppliers (advertisers) impactful omnichannel advertising member experiences that are married with measurable insights. Why MAP MINDS team? The MAP Measurement, Insights and Data Strategy (MINDS) team is part of the Sam’s Club Member & Insights Center of Excellence org that is dedicated to supporting the retail media MAP business unit. It is comprised of two key workstreams- Performance Measurement & Insights team and Media Science & Experimentation team. MAP MINDS plays a critical role in MAP’s accelerated growth by bringing the power of 1st party deterministic membership data and advanced data science and innovative measurement approaches together to offer trusted data and insights to MAP advertisers and MAP internal teams. What will you do? The Director of Performance Measurement & Insights will lead a team of data scientists and analysts to deliver tailored measurement and insights services with a focus on MAP Joint Business Partners’ (JBP) return on MAP investment and actionable audience insights, leveraging rich 1P membership data. This role will collaborate with internal cross-functional leaders from Sales, Marketing, Operations, Product, and Engineering. Also, responsible for building and deploying AI solutions that help accelerate and/or scale measurement and insights services and continuously advance measurement methodologies to fit new ad products made available to MAP advertisers. Who is an ideal candidate? The ideal candidate will be a seasoned leader and hands-on problem solver in advanced data science and analytics with strong prior retail media and digital/instore ad experiences (display, sponsored product, offsite, programmatic, video, social commerce, DOOH, and in-store media, among others). Having a successful track record of leading and growing a team of motivated analytics resources with empathy and humility, the candidate must have a strong technical working knowledge in causal studies, principles of experimentation, ML models, and data strategy. This role will report directly into the Sr. Director, Head of Measurement, Insights, and Data Strategy. What are the key responsibilities? Own the end-to-end measurement strategy for MAP, spanning onsite/offsite, sponsored products, display/video, programmatic, social, and in-club media such as samples and demos. Oversee accurate and timely delivery of contractually obligated measurement and insights services to MAP advertisers, Sales and Client Services per JBP services matrix. Partner with product and engineering teams to design production adtech systems Establish data quality and integrity controls for pipelines; implement monitoring and root-cause processes. Translate complex measurement concepts into market-ready narratives, documentation, and training for Sales, Account Management, and advertiser clients. Provide technical feedback on modeling approaches and solution architecture Meet with advertisers to explain the benefits of MAP media, measurement approaches, and highlight key performance results. Own the measurement and insights innovation roadmap for annual planning and prioritization to inform new additions and deletions from MAP JBP benefits matrix. Ideate and develop AI solutions to help automate and scale campaign performance measurements and insights. Manage and mentor a team of measurement leads/analysts; set operating rhythms, performance goals, and development plans. What are the qualifications? Bachelors, master's or advanced degree in Statistics, Data Science, Digital Marketing, Machine Learning, Mathematics, Computer Science or related field 10+ years of experience in retail media (required), digital media, marketing measurement, experimentation and site/ search analytics; minimum 2 years of supervisory experience Experience with python - writing tests, developing ETL flows, calling APIs Experience working cross-functionally product and technical teams SQL knowledge, spark SQL preferred Strong Ad tech and prior Retail Media working knowledge is required Outstanding analytical and communication skills; develop presentation slides and narratives Comfortable with ambiguity and thrive in an environment with rapid change At Sam's Club, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet! -Health benefits include medical, vision and dental coverage -Financial benefits include 401(k), stock purchase and company-paid life insurance -Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices . - Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart . Bentonville, Arkansas US-09930: The annual salary range for this position is $130,000.00 - $260,000.00 San Bruno, California US-08848: The annual salary range for this position is $169,000.00 - $338,000.00Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include Regional Pay Zone (RPZ) (based on location). ㅤ ㅤ ㅤ ㅤ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.Option 3: 8 years' experience in an analytics or related field Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry. Job Description: Job Duties Work with multiple data assets to merge, create analysis and extract insight Build predictive models with AI / Machine Learning techniques Communicate key insights to support business objectives Receives general supervision and guidance from more experienced team members. Follows department processes, procedures and client requirements; may make recommendations and/or implement improvements/solutions. Utilizes tools to compile, query and analyze data according to defined business roles and procedures. May produce reports from various data sources (external and internal) to provide business stakeholders actionable information or business intelligence. Tracks project information, follows up on issue status, resolves routine issues, reports status to management. Participates in Internship Program activities and events to include: onboarding, educational activities, information sessions, product demos and social events. Provides general administrative support as needed. Participates in special projects and performs other duties as required. Job Qualifications: Education, Experience, Knowledge and Skills Currently enrolled in a Bachelor or Master degree program pursuing a related degree at an accredited 4-year college or university, or equivalent boot camp program. Minimum three years of relevant coursework completed by time of internship or equivalent boot camp program work. Preferred minimum 3.0 cumulative collegiate grade point average, on a 4.0 scale or the equivalent Prior internship or co-op experience preferred Participation in campus activities related to field preferred Demonstrated leadership experience through participation in on-campus activities, educational forums and/or prior work experience Assignment Specific Experience Experience with analytic tools such as Excel, SQL, Python, R, or other statistical based programming QA and analyze large amounts of data to create appropriate data sets for solution building Conduct defined quantitative and qualitative research projects and communicates research results to internal stakeholders Ability to learn and maintain knowledge of processes, procedures and products of Science and Analytics Ability to work within a cross-functional team and matrix management structure Strong written and verbal communication skills Strong customer service orientation; strong interpersonal abilities Solid analytical capability; ability to exercise sound judgment; strong decision-making skills Strong attention to detail; high degree of quality orientation Strong organization and prioritization skills; ability to perform multiple tasks and meet deadlines in a fast-paced dynamic environment Ability to take direction from multiple people; ability to flex to the work styles of others Ability to be a collaborative team player in a fast paces/changing environment; self-motivated and directed Solid project management capabilities; strong business acumen; strong fiscal aptitude Strong technical aptitude. Proficiency in Microsoft Office software applications, such as Word, Excel, Access, Project and PowerPoint Our internships are only offered during the Summer and are paid on an hourly basis within a range of $22.50/hour- $28/hour. Annual Pay Range: 0 - 0 Application Window: This opportunity is expected to remain posted through the date identified below, subject to business needs. 2025-09-26 Thrive with Cotality At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life. Highlights include: Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off. Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend. Health: Multiple medical plan options with mental health and wellness support offerings. Retirement: 401(k) with company match and vesting after one year. Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250. Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more! Click here to see a comprehensive list of our benefit offerings. Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace. ​ ​ ​ Cotality is fully committed to a work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. ​ We are better together when we support and recognize our differences. ​ Global Applicant Privacy Policy By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. Connect with us on social media! Click on the quicklinks below to find out more about our company and associates