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With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Principal Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making by leveraging mastery of both the business and Advanced Analytics Modeling techniques. Principal Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage. As a Principal Data Scientist, you will lead large data science projects, identifying opportunities to leverage the best technology and approach, and mentoring data scientists on the project team. This role is expected to contribute to Home Depot's intellectual property by developing cutting-edge, innovative algorithms. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, this role requires networking with experts, both academic and industry, to further the application of data science to business problems. Key Responsibilities: 25% Solution Development - Utilize advanced expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation; Test alternative methodology and cutting-edge algorithms on business problems to deliver even better solutions and recommendations 20% Project Management & Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage 35% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Support development of cutting-edge, innovative algorithms that would serve as Intellectual Property for Home Depot; Demonstrate and share technical expertise by attending conferences, speaking events and publishing papers; Be a thought leader within Home Depot in one or more Prescriptive Modeling techniques like optimization, computer vision, recommendation, search or NLP; Network with both academic and industry experts to further the application of data science to business problems Direct Manager/Direct Reports: This position typically reports to Senior Manager or above This position has 0 Direct Reports and leads/manages projects Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience. 10+ years of experience in business intelligence and analytics Expertise in a modern scripting language (preferably Python) Expertise running queries against data (preferably with Google BigQuery or SQL) Advanced knowledge of Microsoft Office Suite Expertise with data visualization software (preferably Tableau) Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated mastery in predictive modeling, data mining and data analysis Demonstrated mastery utilizing statistical techniques to identify key insights that help solve business problems Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 10 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Cultivates Innovation: Creating new and better ways for the organization to be successful Develops Talent: Developing people to meet both their career goals and the organization's goals Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Persuades: Using compelling arguments to gain the support and commitment of others Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies Tech Savvy: Anticipating and adopting innovations in business building digital and technology applications The application window is anticipated to be closed on October 31, 2024.

About Renuity: Renuity is a fast-growing direct-to-consumer home improvement company, committed to reimagining how homeowners renovate through innovative technology, operational excellence, and a customer-first mindset. With an expanding national footprint and a strong foundation of brands, we’re building the future of home improvement, smarter, faster, and more customer-focused than ever before. The Opportunity: We’re looking for a strategic, hands-on Director of Data to lead our enterprise-wide efforts across Analytics, Business Intelligence, and Data Science . This role will shape the future of data at Renuity, helping us harness data as a competitive advantage, from customer acquisition and marketing optimization to operational performance and workforce insights. You’ll build and lead a high-impact team, define data strategy in partnership with executive stakeholders, and architect scalable data solutions that drive real business outcomes. If you're passionate about connecting data to decisions and thrive in a high-growth environment, we want to talk. What You’ll Do: Strategic Leadership & Vision Define and execute long-term data strategy aligned with business and technology objectives. Serve as the enterprise data thought leader, partnering with C-level and business leaders to embed data-driven decision-making across the organization. Lead the Data as a Product mindset, aligning key KPIs and metrics with business leaders that help drive the organization forward. Help define and drive the master data strategy Establish data governance, quality, and compliance frameworks to ensure trusted data assets. Applying AI/ML towards solve complex but exiting business challenges Team & Capability Building Build and lead a high-performing team of analysts, data scientists, and BI engineers. Create career paths, development plans, and performance metrics for the data team. Foster a culture of curiosity, collaboration, and continuous learning. Data Science & Advanced Analytics Oversee the development and deployment of machine learning models and predictive analytics to support marketing, sales, operations, and customer engagement. Translate business challenges into analytical frameworks that drive insight and action. Business Intelligence & Reporting Standardize and scale enterprise dashboards, self-service BI tools, and executive reporting. Partner with cross-functional teams to define KPIs and ensure data accuracy, consistency, and usability. Data Architecture & Infrastructure Collaborate with engineering teams to build scalable data pipelines, architecture, and warehousing solutions (e.g., Snowflake, dbt, Fivetran). Optimize data infrastructure to enable fast, reliable access to insights and experimentation. What You’ll Bring: 10–12+ years of experience in data leadership roles spanning analytics, BI, and data science. Proven success building and scaling data teams in fast-paced, growth-stage or enterprise environments. Hands-on expertise with modern data stack tools (e.g., dbt, Snowflake, Looker/Tableau, Python, SQL). Experience with hyperscalers such as Azure, Google Strong understanding of statistical modeling, experimentation, and machine learning techniques. Executive presence and ability to influence at all levels of the organization. Experience supporting marketing attribution, sales performance, operations, and/or customer experience analytics preferred. About Us : Renuity is a national leader in the direct-to-consumer home improvement industry, dedicated to transforming spaces and enhancing lives. As one of the fastest-growing providers in the country, we operate under the Renuity brand and through a network of trusted regional companies—including Mad City Windows & Baths, Pacific Bath, FHIA Remodeling, Statewide Remodeling, MaxHome, Rite Window, and Closet America. Backed by private equity and fueled by an ambitious growth strategy, Renuity has expanded rapidly through strategic acquisitions. Today, we’re focused on unifying our brands, streamlining operations, and delivering exceptional service to homeowners nationwide. We’ve already helped hundreds of thousands of customers upgrade their homes with quality products and expert installation—at competitive prices. At Renuity, you’ll join a dynamic, fast-paced, and collaborative team where your work directly contributes to the company’s success. Our people work closely with executive leadership, embrace innovation, and drive real impact. Whether you’re in the field or at HQ, you’ll be part of shaping the future of home improvement—and building a career you can be proud of. To learn more, visit www.renuityhome.com . #RHB Renuity and its affiliates are committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact Humanresources@renuityhome.com. If you have a question regarding your application, please contact TA@renuityhome.com To access Renuity's Privacy Policy, please click here:

Job Description: The Los Angeles Unified School District seeks qualified proposers to provide Data Science Services on behalf of the Information Technology Services. Responsibilities: Set up R Studio Workbench, Connect, and Package Manager on a Linux server. Manage libraries and versions. Write required security plan. Work with security to connect the server to Snowflake and other data sources. Provision server access to data scientists, including R Studio Server, sftp, and command line. Provide training and support to data scientists, including training on visualization packages like ggplot2, Quatro, and Shiny. Guide data scientists on how to use version control with GIT/Azure Devops. Resource must have at least three (3) years of experience in providing services as listed

Who we are At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we're the largest and fastest-growing automotive marketplace, and we've been profitable for over 15 years. What we do The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and 30,000 dealerships use our products. But they're not the only ones who love CarGurus-our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride! Role overview CarGurus is looking for a Product Manager who will help shape the roadmap for our Data Science team. You will collaborate closely with a number of teams including engineering, analytics, marketing, sales and a variety of other product teams to deliver exceptional data science led capabilities. Are you a driven collaborator with a strong track record of building data-driven products and capabilities? Do you bring curiosity, creativity, a passion for innovation, and analytical and cross-functional leadership skills? Are you excited by the mission to help millions of shoppers find their next car? Look no further; we'd love to invite you to apply! What you'll do Build a strong partnership with our Data Science team to support model development from concept to launch. Own the team's vision and roadmap; generate buy-in and facilitate cross-functional collaboration with a wide range of stakeholders. Ensure that prioritization of work aligns with high-level strategies and business objectives. Maintain high levels of engagement with stakeholders through various forms of written and verbal communication, including roadmaps, project plans, status reports, and executive presentations. Empower our team of Data Scientists to complete their best work - providing the necessary requirements, guidance, and space to unlock new opportunities to make our product better. Highlight and enforce data quality best practices and standards across the product and engineering organization, focusing on data integrity, consistency, and accuracy. Help implement policies to ensure compliance with industry regulations and organizational guidelines. What you'll bring 3+ years of product management experience with at least 1+ years building machine learning, predictive analytics or AI enabled products Expert judgment to help prioritize incoming requests based on value-add to the business. Strong team player with high emotional intelligence and the ability to bring people together across varying work styles Tenacious self-starter with the ability to work independently, particularly in a highly cross-functional or matrixed environment Excellent written and verbal communication skills Prior experience in a Data Science / ML or Analytics Working at CarGurus We reward our Gurus' curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives. We welcome all CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential-starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That's why we hope you'll apply even if you don't check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid

We create possibilities that move life and commerce forward Welcome to Manhattan. Every day, our supply chain commerce technology connects two billion people to 20 billion consumer choices. In the warehouse, on the road and in the store, we make what was once impossible, possible. If you want to tackle complex problems and redefine markets, you've come to the right place. Principal Data Scientist, R&D, Science (Atlanta, GA) Job Description: Principal Data Scientist, R&D, Science positions offered by Manhattan Associates, Inc. (Atlanta, Georgia). Provide advanced Analytical, Data Science, and Machine Learning expertise as a Data Scientist focused on the inception and research of Data Science and ML use cases, including the continuous development and deployment of DS/ML models on our Manhattan Active Machine Learning platform. Collaborate with Science Leadership, Product Leadership, and Application Development Teams to identify, research, prototype/validate/benchmark, develop, and deploy ML-empowered solutions. Collaborate, guide, and assist product and ops teams on the full lifecycle support of use case models and solutions - including performance analysis, tuning and troubleshooting of production models. Work with large, complex data sets to extract, analyze, visualize, and infer meaningful insights. Research, experiment, and benchmark new Data Science, ML, & MLOps methods and technologies. Communicate, present, and document data science and machine learning concepts and solutions effectively, especially when communicating with non-technical business leadership, partners, and customers. Minimum Requirements: Requires a bachelor's or foreign equivalent degree in data science, computer science, engineering, mathematics, statistics or related technical field and 7 years of experience in the position offered or 7 years of experience performing analysis, research, prototyping, validating, development, productionalization, and lifecycle management of Analytical, Predictive, Data Science, ML-based models and solutions. In lieu of a bachelor's degree in the aforementioned fields and 7 years of experience as stated, employer will accept a master's or foreign equivalent degree in the aforementioned fields and 5 years of experience as stated. Also requires 5 years of experience performing development using Python and leading open-source frameworks, packages, and tools to support the various stages of model research, development and productionalization. Employee reports to office in Atlanta, GA. Position may work from home, but must live within commuting distance of stated office. Experience may be, but need not be, acquired concurrently. #LI-DNI Committed to diversity and inclusion At Manhattan, it's about more than just the work. From cultural celebrations to interest groups to volunteer opportunities, your true self is always welcome here. Our team members' backgrounds, experiences and perspectives add to us as a whole and make us unique. We are proudly an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a veteran. In the United States, Manhattan Associates participates in the Employment Eligibility Verification Program (E-Verify) operated by the Department of Homeland Security in partnership with the Social Security Administration. Participation in the E-Verify Program allows Manhattan to confirm the employment eligibility of all newly hired employees after the Employment Eligibility Verification Form (Form I-9) has been completed.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are also market leaders in AI and analytics consulting in the CPG and retail industry, with over 40% of our revenues coming from this sector. This is our fastest-growing sector, and we are expanding our talent in this space. We are seeking an individual with a strong combination of business consulting skills and a background in data analytics to join our team. Responsibilities: Work on the latest applications of data science to solve business problems in the space of Retail. Work directly with client stakeholders to translate business problems into high-level analytics solution designs. Present analytic solutions to business audiences, highlighting the robustness of the solution and how it could help generate business value. Responsible for managing analytics projects, collaborating with client stakeholders and Tiger's team situated globally. Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights. Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize analytic solutions.

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we're consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology. What You'll Bring: 10+ years of professional experience performing applied data science or analytic consulting work in Financial Services, consumer credit, or a related industry 5+ years in team management and leadership roles with increasing complexity and responsibility Master's or PhD degree in statistics, data science, business analytics, applied mathematics, financial mathematics, engineering, operations research, computer science or another highly quantitative field. A track record of academic excellence Deep, hands-on expertise applying machine learning, statistical inference, and predictive modeling methods in a commercial setting Proficiency in one or more analytic languages (R, Python) Proven ability to architect and engineer machine-learning pipelines with online / real-time features Current knowledge of and strong interest in consumer credit trends and dynamics. Ability to speak authoritatively with customers on relevant topics Ability to collaborate with customers to frame and define ill-structured problems and design effective solution approaches An excellent oral and written communicator with highly technical and non-technical TU leaders, partners, and customers. A proven ability to establish rapport, persuade others, ask insightful questions, and promote understanding across all levels of the organization. Substantial prior experience making formal presentations to large and senior-level groups, as well as in smaller and less formal settings Availability to travel up to 25%. We'd Love to See: Consultative approach to decision-making, ability to gather and synthesize multiple perspectives Aptitude and passion for design of highly effective processes Proficiency in one or more general-purpose programming languages (C/C++, Java), follows software engineering best practices to generate performant and implementable code Experience manipulating large datasets in SQL Experience with big data frameworks (Spark, Redshift, BigQuery, Hadoop, Ab Initio) Experience with cloud computing (AWS, GCP) Experience serving highly regulated industries Familiarity with credit bureau data and business practices Impact You'll Make: The DSA Argus leader drives core components of TransUnion Argus strategy as part of the DSA Financial Services Consulting department. This leader will manage a full capability stack, and in close collaboration with matrix partners across multiple business units they will: Lead the development of models and solutions using machine learning, statistical analysis, mathematical modeling, and artificial intelligence techniques to predict and measure outcomes and consequences. Establish and enforce best practices in the design and development practices for the aforementioned models, including rigorous management of a robust, scalable codebase, collaboratively with other DSA leaders. Proactively participate in the development of operating policies and procedures of significant scope and complexity to promote operational excellence across Data Science & Analytics. Advocate for productivity-enhancing operating procedures and technologies. Cultivate and maintain strategic partnerships and customer relationships, including via actionable, data science consulting that spans the lifecycle from issue discovery through solution development, deployment, and governance. Support Sales and Argus Advisory Services in demonstrating efficacy and value, arming client-facing associates with tools to help drive adoption and revenue Work with the Solutions organization to propose, prioritize, design, develop and take to market new products, including generic scores, derived from Argus consortium data. Curate a robust repository of internally and externally sourced analytic data assets, constructing pipelines, preserving data quality, implementing appropriate privacy and compliance controls, maximizing utility for a broad and growing set of use cases, maintaining a complete data dictionary, and publishing relevant insights. Lead the design, management and automated production of custom insights for Argus consortium members. Maintain current knowledge of relevant machine learning research, open-source tools, commercial software, and competitors' offerings. Maintain knowledge and ensure compliance with regulatory and contractual requirements pursuant to minimizing legal risks in the management of Argus consortium data. Contribute novel methods and research findings to TransUnion's growing intellectual property (IP) portfolio, potentially including patents. Assemble, maintain, and lead a geographically dispersed, high-performing team with specialized domain and technical expertise in accordance with DSA global standards. Eliminate constraints to cross-team collaboration and integration. Promote the cross-team propagation of successful ideas and approaches. Evangelize the team's unique capabilities, regularly developing and delivering thought leadership content in conjunction with broader DSA capability marketing efforts, in collaboration with matrix partners in Marketing and Solutions Marketing. Advise sponsors and stakeholders on the capabilities and potential value of proposed vendors, partners, and acquisition targets, including commercial and open-source software tools and frameworks. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Pay Scale Information : The U.S. base salary range for this position is $187,500.00 - $312,500 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: Sr Director, Data Science and Analytics

Job Description: Job Title ESC D&AA Data Science Director Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers. This position provides an opportunity to transition from other private, public, government or military experience to a 3M career. The Impact You'll Make in this Role As the Data Science Director for 3M's Enterprise Supply Chain (ESC) Digitization & Advanced Analytics (D&AA) team, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by leading a team of data scientists to deliver global ML modeling and Gen AI solutions for 3M ESC, including projects within and among Planning, Procurement, Manufacturing and Global Logistics. The person in this role will also serve as a member of the D&AA leadership team, with the opportunity to shape 3M ESC's strategy of an agile and responsive supply chain through better, faster, and more accurate decision based on Data and AI. Primary responsibilities include: Leading and mentoring a team of data scientists to develop and deploy advanced analytical solutions that enable autonomous supply chain Providing technical and contextual guidance to members of the data science team on their projects, establishing forums for peer-to-peer collaboration, identifying resources and removing roadblocks as they occur Participating in prioritization discussions, executive reviews, and program updates with functional leaders and peers on the D&AA leadership team Coordinating with colleagues and other teams in D&AA to manage project execution Articulating and executing toward a clear vision for the new technical capabilities the team needs to advance to support Supply Chain's long-term digital strategy Maintaining a strong network of internal and external partnerships, including with IT, Corporate Laboratories and others Your Skills and Expertise To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications: Bachelor's degree or higher (completed and verified prior to start) Five (5) years of experience in manufacturing or supply chain analytics roles with increasing responsibility in a private, public, government or military environment Five (5) years of program leadership Three (3) years of experience managing direct reports Additional qualifications that could help you succeed even further in this role include: Direct experience deploying ML, Gen AI, Decision Intelligence, Graph Data Science, Optimization/Simulation, and other advanced analytics solutions at enterprise scale Master's Degree or higher (completed and verified prior to start) in Data Science, Statistics or other data analytics field from an accredited institution Demonstrated ability to coordinate and influence across organizational boundaries to deliver project deliverables and timelines Demonstrated ability to translate business challenges into well-defined data science technical project requirements Ability to work collaboratively with peers and teams to identify, consider, and then choose among candidate approaches to key projects Expertise in ML Ops at enterprise scale Experience coding in one or more of Python, R, SQL, etc. Experience balancing near term priorities with longer-term strategic imperatives Experience working with global and/or remote teams Demonstrated change management skills. Work location: Onsite: Maplewood, MN (minimum 4 days a week onsite) Travel: May include up to 10% (Domestic / International) Relocation Assistance: May be Authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being 3M offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope. Chat with Max For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers. Applicable to US Applicants Only:The expected compensation range for this position is $228,040 - $278,715, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/ . Good Faith Posting Date Range 07/15/2025 To 08/14/2025 Or until filled All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M. Learn more about 3M's creative solutions to the world's problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M. Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Safety is a core value at 3M. All employees are expected to contribute to a strong EHS culture by following safety policies, identifying hazards, and engaging in continuous improvement. Pay & Benefits Overview: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/ 3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. 3M Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.

Job Title: Winter/Spring 2026 Co-op-Intern- Process Modeling- Data Science- MSAT Grade: Co-op Intern LL Hiring Manager: Yves Riou Location: Cambridge, MA About the Job We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families. MSAT Process Data Science & Digital Transformation (MSAT DSD) is a transversal team within the Global MSAT organization. MSAT DSD is the data/digital DNA within the processes allowing us to ensure best in class manufacturing & analytical processes, especially by focusing on data/digital innovations & excellence, aiming to guarantee acceleration and securing launches & improvement as well as sustainability for our current processes. This position will fall within the DSD Mechanistic Modeling & Process Control team. The group develops and implements advanced process modeling and technologies (e.g. CFD, Digital twins, PAT) to enable Sanofi to better understand, monitor, and control the manufacturing operations, and deliver innovative, robust, and cost-effective next-generation processes. The group is highly cross functional in its interactions across R&D and manufacturing, and provides scientific, technical, process engineering expertise to these organizations. We are seeking a motivated and technically skilled co-op/intern to join our DSD Mechanistic Modeling & Process Control to support advanced modeling and harmonization initiatives in process development. This role offers a unique opportunity to gain hands-on experience in Computational Fluid Dynamics (CFD) using M-Star and/or ANSYS Fluent, contribute to standardization and harmonization efforts, and support mechanistic and Process Analytical Technology (PAT) modeling across multiple projects. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities: Assist with the setup, execution, and analysis of simulations using Computational Fluid Dynamics (CFD) and related modeling tools. Contribute to harmonization and standardization activities, including documentation, tool development, and best practice consolidation across modeling workflows. Support mechanistic modeling initiatives for bioprocessing or pharmaceutical unit operations, including model calibration, validation, and sensitivity analysis. Collaborate on PAT modeling activities, including data integration, model development, and deployment to support real-time monitoring and control strategies. Document and present findings to cross-functional teams in a clear and concise manner. About You Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship Basic Qualifications: Currently enrolled and pursuing a bachelor's, degree, master's degree, or PhD degree in Mechanical Engineering, Chemical Engineering, Process Engineering, Biomedical Engineering, or a closely related technical field with exposure to modeling and simulation at an accredited college or university with the expectation that you will complete your current degree by the Spring of 2028 40hrs/week, Monday-Friday, for the full duration of the co-op/internship Programming/scripting experience (e.g., Python, MATLAB, or similar) for data analysis and model development. Experience working with data visualization tools or dashboards. Basic understanding of mechanistic modeling in the context of chemical/biochemical processes. Solid understanding of transport phenomena, fluid dynamics, and mixing principles. Familiarity with Computational Fluid Dynamics (CFD) tools-M-Star CFD, ANSYS Fluent, Star-CCM+, OpenFOAM or similar tools. Strong analytical, communication, and organizational skills. Self-motivated, detail-oriented, and able to work independently and in a team environment. Basic understanding of mechanistic modeling in the context of chemical/biochemical processes. Preferred Qualifications: Exposure to process monitoring & control concepts, PAT, RAMAN, NIR, SIMCA is a plus. Exposure to heat transfer and thermodynamics concepts & modeling tools is a plus. Exposure to statistical analysis concepts is a plus. Familiarity with bioprocesses or pharmaceutical unit operations. Experience working with data visualization tools or dashboards. Familiarity with CFD tools-preferably M-Star; experience with ANSYS Fluent is a plus. Solid understanding of transport phenomena, fluid dynamics, and mixing principles. Strong analytical, communication, and organizational skills. Self-motivated, detail-oriented, and able to work independently and in a team environment. Why Choose Us: Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Exposure to cutting-edge technologies and research methodologies. Networking opportunities within Sanofi and the broader biotech community. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! US and Puerto Rico Residents Only Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

Job Description Infosys is seeking Product Technical lead- Data Science/AI/ML. Candidate will be innovative and creative in data analysis, problem solving and presentation of solutions. Candidate will collaborate with engineering team to bring analytical prototypes to production. Candidate will analyze raw data: assessing quality, cleansing, structuring for downstream processing. Candidate will design accurate and scalable AI solutions. Candidate will be responsible for use-case derivation and solution creation from structured/unstructured data Candidate will be responsible for Storytelling, Business & stakeholder communication and Documentation Required Qualifications: Candidate must be located within commuting distance of Phoenix, AZ or Richardson, TX or be willing to relocate to the area. This position may require travel in the US Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 4 years of Information Technology experience. A strong understanding of data analytics best practices, standards, and guidelines; and an experience with applying the same to produce high visibility AI solutions / products Experience in building integrated solutions with NLP, Vision, Recommendation Engines, Forecast, Time-Series, Predictive Algorithms Programming Skills: Python, Scikit-Learn, TensorFlow, PyTorch, matplotlib Exploratory Data Analysis, Machine Learning and Deep Learning Algorithms Hypothesis definition, Model building, Hyperparameter tuning and Model performance metrics Statistics Knowledge (Probability Distributions, Hypothesis Testing) Platform exposure with one of the key AI Services Cloud providers with working knowledge of ML Services, AI Platforms, MLOps, AIOps Understanding of planning, design, management, execution, and reporting of the core components for AI/Cognitive solution) Experience with TDD practices / frameworks (JUnit (Java) / Jest (React) / Karma / Jasmine) Troubleshoot and debug applications to ensure optimal performance. Experience and desire to work in a Global delivery environment All applicants authorized to work in the United States are encouraged to apply. Preferred Qualifications: Knowledge of Cloud Implementation - Azure, Kubernetes/Docker Experience in developing & deploying Microservices, Data Modelling, Database Design, Tuning Design Parameters, Normalization, Solving Performance bottlenecks Experience in Middleware, Open-Source tools & technologies Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Experience in Production support is good to have Experience with monitoring tools is good to have Good Communication and Analytical skills The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email, or face to face. Extensive travel may be required as per client and project needs.

Loyola Marymount University's Frank R. Seaver College of Science and Engineering is collecting resumes of potential applicants for future Part-Time faculty positions in the Department of Mathematics, Statistics and Data Science. There may not be openings at this time, but your application will be kept on file. Current applications will be reviewed as openings occur. The position, when needed, is assumed to be a one-semester appointment, normally to teach 1-2 courses. The Department of Mathematics, Statistics and Data Science serves approximately 75 majors and 50 minors across programs in Mathematics, Applied Mathematics and Statistics and Data Science. In addition, we teach many courses required by other majors across the university. Lecturers are typically hired to teach courses such as Algebra, Precalculus and Calculus; other courses may be available depending upon qualifications and experience. Additional information about the department, curriculum, courses, and faculty/staff is available online at https://cse.lmu.edu/department/math/ . Job Responsibilities The following is a non-exhaustive list of instructor job responsibilities: prepare and distribute a course syllabus; prepare and lead class sessions; hold regular office hours and answer student questions; develop, distribute, and/or grade discussion materials, homework, quizzes, and other course materials; write, proctor, and grade midterm and final examinations; maintain and timely submit class records, such as attendance and grade reports; attend meetings and training, as needed; and comply with all university standards and requirements. Minimum Qualifications Prior teaching experience is preferable. Must have the ability to use browser-based software services, and standard classroom and office equipment. Position requires excellent oral and written communication and interpersonal skills. Must possess ability to, and genuine interest in, meeting the educational needs of students, and sensitivity to, and understanding of, the diverse academic, socioeconomic, and cultural/ethnic backgrounds of the students. Required Education A master's or doctorate level degree. Special Instructions Apply online at https://jobs.lmu.edu . A completed application consists of: A current CV/resume Cover Letter Statement of Teaching References - 3 references required Minimum salary is $2,467 per unit taught. Faculty Regular Loyola Marymount University, a Carnegie classified R2 institution in the mainstream of American Catholic higher education, seeks outstanding applicants who value its mission and share its commitment to inclusive excellence, the education of the whole person, and the building of a just society. LMU is an equal opportunity employer committed to providing an environment free from discrimination and harassment as defined by federal, state and local law. We invite all persons in the full diversity of their being, life experience, and beliefs to apply. (Visit www.lmu.edu for more information.)

About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. About the Role: Join AQMed to revolutionize heart health using AI and advanced sensing for next-gen medical diagnostics. You will lead our Data Science/ Machine Learning (DS/ML) team and deliver impactful data products to benefit patients and physicians worldwide. In close collaboration with Product and Engineering, you will be responsible for designing and building data products that provide actionable and useful insights that are derived from our proprietary hardware & data. You excel in user-centricity, project execution, and you drive the development and delivery of data products that solve real-world user problems. You are excited by shipping functional, useful, and market-driven products and iterating them in the real world. The success indicators for this role include product adoption, user satisfaction, regulatory & quality success, time-to-market, and business impact. What You'll Do: As one of the AQMed leads, you'll work closely with Product & Engineering to define the vision, strategy, and roadmap for data products that align with business objectives, incorporating ML capabilities where valuable. Curiosity & partnership are critical: you will be working alongside other leads to optimize the entire signal processing chain, from sensors to final data output. Collaborate with AQMed leads to periodically and relentlessly prioritize our work to achieve BU-level goals using an OKR framework. Exemplify user-centricity by working closely with our clinical partners. Through rapid prototyping and iterative development, turn clinical insights, user needs, and business goals into clear product requirements and design specifications. Prioritize features by balancing business impact, user feedback, and technical feasibility to drive meaningful outcomes. Establish & track progress of DS/ML team-level OKRs, oversee timelines and budgets, and drive the end-to-end lifecycle of data products to ensure successful delivery and impact. Ensure the scalability, usability, and impact of ML models in production environments. Skillfully balance the need to execute quickly with the need to uphold a high standard in research. Keep abreast of the cutting-edge techniques that align with product requirements. Be a confident representative of AQMed internally within SandboxAQ and externally (for example, with clinicians, development partners, regulators, industry partners, etc). Identify opportunities (e.g. conference presentations & proceedings, peer-reviewed journals) to elevate our team members & showcase our team's capabilities. Lead & mentor a multidisciplinary team of data scientists and ML engineers. Foster a collaborative and innovative work environment, driving professional growth and excellence. About You: 10+ years in engineering and product leadership roles: You have served as an individual contributor in an engineering role. You have been an engineering manager. You excel as a leader at the intersection of Product Development & AI/ML. Advanced degree in engineering, computer science, AI, mathematics, or related field. Strong experience in AI-enabled data/ software medical product development from concept development (stage 0-3) through commercialization (stage 4+) You effectively communicate at the executive level, ensuring decisions are clearly linked to business objectives and routed to appropriate stakeholders for efficient action. Action-oriented: you proactively create solutions, knowing that a delay in our product launch means a delay in impacting patient care. You are willing and able to work from our Palo Alto location 50% of the time (hybrid). Nice to Haves Cardiovascular device/cardiology experience and familiarity/expertise in the electrophysiology of the heart. The US base salary range for this full-time position is expected to be $204k-$286k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity. SandboxAQ welcomes all. We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can't go back to normalcy because great breakthroughs come from great teams and we are the best in AI and quantum technology. We offer competitive salaries, stock options depending on employment type, generous learning opportunities, medical/dental/vision, family planning/fertility, PTO (summer and winter breaks), financial wellness resources, 401(k) plans, and more. Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

Job Title: Winter, Spring 2026 Co-op-Intern - mRNA Data and Computational Science Location: Waltham, MA About the Job The Co-op position is located in the Data and Computational Science (DCS) department within the Sanofi mRNA Center of Excellence (mRNA CoE), supporting the CMC data science group. This role focuses on developing chemometric models using process analytical technologies (PAT) such as Raman and FTIR and integrating these with first principle and machine learning (ML) models for various units, including In Vitro Transcription (IVT) and T-mixing in drug substance and product process development. The candidate will have the opportunity to learn about mRNA technology and unit operations, and to demonstrate the benefits of PAT technologies alongside first principle and ML modeling in a non-GMP lab environment. We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world. Main Responsibilities: The successful candidate will collaborate with their supervisor to develop chemometric models and integrate them with first principle and machine learning (ML) models for various unit operations. Activities will include investigating data reconciliation and state estimation techniques such as extended Kalman filtering and moving horizon methods. About You Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship Basic Qualifications: Currently pursuing bachelor's, master's, or PhD in chemical or biochemical engineering, electrical and computer engineering, or other STEM related field at an accredited college or university Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship Preferred Qualifications: Basic understanding of mRNA technology. Experience in chemometrics, ML, first principle, and hybrid dynamic modeling and state estimation technique (such as EKF and MHE) Familiarity with mathematical software and packages (SIMCA, Python-sklearn, Julia, MATLAB, PYOMO, gPROMS). Why Choose Us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SP #LI-SP #LI-Onsite #vhd #mRNA Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! US and Puerto Rico Residents Only Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

About the team & opportunity What's so great about working on Calendly's Engineering team? We make things possible for our customers through innovation. Why do we need you? Well, we are looking for a Head of Data Science & Machine Learning who will bring expertise around answering complex business questions with Data Science and operationalizing machine learning models with modern MLOps. You will report to the VP of Data & Infrastructure and will be responsible for leading Data Science / AI teams. A day in the life of a Director of Data Science & MLE Strategic Leadership: Develop and drive the Calendly's AI and data science strategy, ensuring alignment with overall business objectives and market needs AI/ML Innovation: Lead the research, development, and deployment of advanced machine learning models, generative AI solutions to address complex business challenges and enhance product offerings Team Leadership and Development: Build, manage, and mentor a multidisciplinary team of data scientists, machine learning engineers, and researchers, fostering a culture of innovation, collaboration, and continuous learning Cross-Functional Collaboration: Work closely with Product, Engineering, Design, Marketing, Sales, and Customer Success teams to integrate AI/ML initiatives across the organization and ensure seamless execution Project Oversight: Oversee the end-to-end lifecycle of AI/ML projects, from ideation and prototyping to production deployment and monitoring, ensuring timely delivery and measurable business impact AI Governance and Ethics: Establish and enforce best practices for ethical AI development, data governance, compliance, and risk management, ensuring transparency, fairness, and regulatory adherence Stakeholder Engagement: Engage with internal and external stakeholders to understand business requirements, validate AI-driven solutions, and communicate technical concepts to non-technical audiences Continuous Improvement: Stay abreast of emerging AI/ML technologies and industry trends, driving innovation and process improvements within the team and organization What do we need from you? Education: Advanced degree (Master's or PhD preferred) in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field Experience: 10+ years of experience in AI, machine learning, or data science, including significant leadership or management roles Proven track record of delivering complex AI/ML solutions at scale and driving measurable business outcomes Technical Expertise: Deep knowledge of modern AI/ML algorithms, frameworks, and best practices (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision) Strong programming skills in languages such as Python, R, or similar Experience with data engineering, analytics platforms, and cloud-based AI/ML infrastructure Leadership Skills: Demonstrated ability to build, lead, and mentor high-performing technical teams Strategic Thinking: Ability to develop and execute AI/ML strategies aligned with business goals and market demands Project Management: Strong project management skills, including resource allocation, timeline management, and budget oversight Communication: Excellent verbal and written communication skills, with the ability to influence and collaborate across all organizational levels and with external partners Ethics and Compliance: Commitment to ethical AI development, data privacy, and regulatory compliance Continuous Learning: Passion for staying current with AI/ML advancements and fostering a culture of ongoing professional development This role is pivotal and leverages AI and data science as core drivers of innovation, efficiency, and competitive advantage. What's in it for you? Ready to make a serious impact? Millions of people already rely on Calendly's products, and we're still in the midst of our growth curve - it's a fantastic time to join us. Everything you'll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you've ever worked with, then we hope you'll consider allowing Calendly to be a part of your professional journey. Our Hiring Process: We aim to provide an inclusive and equitable candidate experience to everyone who expresses interest in working at Calendly. To learn more about our hiring process, please visit our careers page at www.careers.calendly.com. Once selected for an opportunity, the recruiter assigned to the role will keep you informed every step of the way. Have questions? Let your recruiter know! Want to share your experience? We are passionately committed to improving and building on our process, and we consider feedback a gift. If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please contact us at recruiting@calendly.com. Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Alabama, Delaware, Hawaii, Idaho, Montana, North Dakota, South Dakota, Nebraska, Iowa, West Virginia, and Rhode Island, you will not be eligible for employment. Note that all individual roles will specify location eligibility. All candidates can find our Candidate Privacy Statement here Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection The ranges listed below are the expected annual base salary for this role, subject to change. Calendly takes a number of factors into consideration when determining an employee's starting salary, including relevant experience, relevant skills sets, interview performance, location/metropolitan area, and internal pay equity. Base salary is just one component of Calendly's total rewards package. All full-time (30 hours/week) employees are also eligible for our Quarterly Corporate Bonus program (or Sales incentive), equity awards, and competitive benefits. Calendly uses the zip code of an employee's remote work location, or the onsite building location if hybrid, to determine which metropolitan pay range we use. Current geographic zones are as follows: Tier 1: San Francisco, CA, San Jose, CA, New York City, NY Tier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA. Tier 3: All other locations not in Tier 1 or Tier 2 Note that this role is hiring in the the San Francisco Bay Area of CA. Candidates must be open to a hybrid work environment. Tier 1 Salary $285,600-$386,400 USD Tier 2 Salary $261,800-$354,200 USD Tier 3 Salary $238,000-$322,000 USD

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. The Data Science & Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data. We're looking for a Senior Manager, Data Science, Ads to join Snap Inc.! What you'll do Lead a team of data scientists and managers focused on driving the growth of our SMC business, directly contributing to the success of our ads platform Partner closely with Product and Sales leadership to inform the direction of the product roadmap, identify opportunities for advertiser growth, and make recommendations for driving incremental revenue Help build and manage a team of high performing data scientists and managers to help them execute along the most important priorities and deliver world-class products Deliver insightful analysis and recommendations that can be acted upon by the organization at all levels, interfacing directly with senior leadership to drive meaningful change Clearly articulate the approach and the findings of interpretable analytical models and drive the continuous refinement of what should be tracking and reporting Build out in-depth knowledge of the business success drivers (including determining the KPIs that will help meet our goals) and deliver value added solutions that have a measurable impact on the business Drive pragmatic approaches to solving key complex business problems through data creation, analysis, predictive modeling Work cross-functionally across multiple teams on different projects, ensuring timeliness and successful completion Deliver clear data and dashboards on what is happening in the product, metric regressions and understanding of ML performance Mentor and develop individual contributors and managers Knowledge, Skills, Abilities: Direct experience leading large data science teams (10+ people) focused on advertising products and advertiser growth Experience leading data science teams in the digital advertising domain, ideally with a mix of product and growth experience. Understanding of statistical analysis, experience with packages, such as Python, R, MATLAB, Stata, etc. Working knowledge of predictive modeling, machine learning, and experimentation/ causal inference methods Expertise in the data workflow and pipeline and lead a team responsible for data capture, measurement, and optimization capability management. Expertise in SQL and familiarity with Python Excellent verbal and written communication skills, with high attention to detail Ability to initiate and drive projects to completion with minimal guidance Ability to balance practical business needs and scientific rigor Minimum Requirements BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience 10+ years of experience in measurement and insights; ideally in a direct to consumer business 5+ years experience in building, managing, and leading a high-performing data analytics team Preferred qualifications Advanced degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline Ability to bring the right data technique to solve the problem in an explainable manner to the business Consultative nature, with a proven track record of using data to provide actionable results Experience in Modeling, Forecasting, Data Management Strong vision to building out functional area within a fast moving environment Proven ability to dig into metrics and understand underlying reasons for movement Successful track record in hiring, managing and developing talent If you have a disability or special need that requires accommodation, please don't be shy and provide us some information. "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable). Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future. Zone A (CA, WA, NYC): The base salary range for this position is $251,000-$377,000 annually. Zone B: The base salary range for this position is $238,000-$358,000 annually. Zone C: The base salary range for this position is $213,000-$320,000 annually. This position is eligible for equity in the form of RSUs.

With 1,000 intelligence professionals, over $300M in sales, and serving over 1,900 clients worldwide, Recorded Future is the world's most advanced, and largest, intelligence company! Team Lead, Data Science - Graph Quality Recorded Future combats cyber security threats by delivering actionable intelligence from the Security Intelligence Graph. The Graph Quality team aggregates data from various sources and Indicators of Compromise (IOCs) to ensure that risk is properly attributed in the defender space graph. Key Responsibilities: Manage a team of 3-4 developers Mentor the team, plan team goals, and lead Agile scrum meetings to ensure that engineering deliverables are completed in a timely manner, with high quality Develop data pipelines to analyze and ingest data at scale Identify, scope, and own technical solutions to drive the successful execution of projects Create technical project plans and drive the successful execution of projects, with input from our Product team and other developers on your team Collaborate with Data Scientists, Data Engineers, and business leaders to scope and implement technical solutions Qualifications: 2+ years of previous team leadership experience 5+ years of programming and experience in Data Science, including 1+ years of experience with Python programming 3+ years of experience with cloud computing tools, e.g. from AWS, Azure, or Google Cloud 1+ years of experience managing or leading a team Experience writing scalable, production-grade applications and ETL/ELT pipelines Efficient & accurate problem solving skills, including the ability to debug both software and data Proven ability to analyze data and apply statistical techniques to draw accurate, impactful conclusions Proven success in delivering projects from design and implementation to release Excellent attention to detail & ability to work independently while delivering high-quality results Excellent written & verbal communication when collaborating with colleagues across various locations and timezones, designing technical approaches, and writing documentation Eagerness to continue learning and teaching new skills to team members, in order to raise the bar across the team Track record of presenting information to stakeholders with varying levels of technical expertise Experience engaging with technical leaders across geographies and divisions/companies Preferred Qualifications: Familiarity with both batch and streaming pipelines Familiarity with any of the following: message buses (e.g. Kafka, RabbitMQ), NoSQL databases (e.g. MongoDB, AWS Neptune, Neo4j), ElasticSearch Bachelor's/Master's degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience Exposure to ML approaches, including experience productizing ML models Experience with developing REST APIs with Python frameworks (e.g. Flask, Django, FastAPI) Why should you join Recorded Future? Recorded Future employees (or "Futurists"), represent over 40 nationalities and embody our core values of having high standards, practicing inclusion, and acting ethically. Our dedication to empowering clients with intelligence to disrupt adversaries has earned us a 4.8-star user rating from Gartner and more than 45 of the Fortune 100 companies as clients. Want more info? Blog & Podcast: Learn everything you want to know (and maybe some things you'd rather not know) about the world of cyber threat intelligence Linkedin, Instagram & Twitter: What's happening at Recorded Future The Record: The Record is a cybersecurity news publication that explores the untold stories in this rapidly changing field Timeline: History of Recorded Future Recognition: Check out our awards and announcements We are committed to maintaining an environment that attracts and retains talent from a diverse range of experiences, backgrounds and lifestyles. By ensuring all feel included and respected for being unique and bringing their whole selves to work, Recorded Future is made a better place every day. If you need any accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our recruiting team at careers@recordedfuture.com Recorded Future is an equal opportunity and affirmative action employer and we encourage candidates from all backgrounds to apply. Recorded Future does not discriminate based on race, religion, color, national origin, gender including pregnancy, sexual orientation, gender identity, age, marital status, veteran status, disability or any other characteristic protected by law. Recorded Future will not discharge, discipline or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about, discussed, or disclosed the compensation of the employee or applicant or another employee or applicant. Recorded Future does not administer a lie detector test as a condition of employment or continued employment. This is in compliance with the law of the Commonwealth of Massachusetts, and in alignment with our hiring practices across all jurisdictions. Notice to Agency and Search Firm Representatives: Recorded Future will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Recorded Future, including those sent to our employees or through our website, will become the property of Recorded Future. Recorded Future will not be liable for any fees related to unsolicited resumes. Agencies must have a valid written agreement in place with Recorded Future's recruitment team and must receive written authorization before submitting resumes. Submissions made without such agreements and authorization will not be accepted and no fees will be paid.

About Altruist Altruist is the modern custodian built exclusively for independent financial advisors that combines a self-clearing brokerage firm with intuitive software for account opening, trading, reporting, and billing - all in one streamlined solution. Financial advisors across the U.S. have partnered with Altruist to reduce costs, save time, grow their business, and provide better outcomes for their clients. Our mission is to make financial advice better, more affordable, and accessible to everyone - but we can't do it alone. We're seeking exceptional talent to join our team. That's where you come in! If you're passionate about challenging the status quo and making a meaningful impact in the financial advice industry, we'd love to meet you! But first, our values Kindness- Kindness doesn't just equal niceness. We listen to understand. We embrace, and encourage healthy debate and diverse perspectives. We approach conflict openly, honestly, and respectfully. Brilliance- Humility is the skill we're most proud of and possessing a growth mindset is always top of mind. We take ownership in everything we touch; regularly using our unique superpowers to reach a common goal as a team. We succeed and fail as one. Grit- When challenges arise, we stay laser focused on achieving our mission and finding a way forward, even when it's hard. We are nimble and maintain a sense of urgency, swiftly adapting to change and overcoming obstacles. The opportunity We're seeking a Director of Data Science to help us predict and plan for the future of Altruist's business. In this role, you'll build and own the predictive infrastructure that supports strategic decision-making across the company. You'll collaborate with leaders in Finance, Product, Operations, and Sales to develop scalable models for revenue, customer behavior, and operational performance. This is a hands-on, high-impact role where your models will directly inform planning, budgeting, staffing, and long-term strategy. Your impact Manage a growing team of data analysts and data scientists responsible for build, deploying, and maintaining robust forecasting models (e.g., time series, hierarchical models, causal forecasting) across key business areas such as revenue, AUM growth, customer acquisition, and support volumes. Partner with Finance and Strategy teams to deliver forecasts that support executive decision-making and scenario planning. Develop methodologies for forecasting uncertainty, seasonality, and business-specific dynamics. Create reusable forecasting frameworks and tools to be shared across departments. Communicate forecasts, assumptions, and risks clearly to stakeholders-including executives-with visually compelling outputs. Continuously monitor model performance and refine approaches based on real-world outcomes. Contribute to the broader data science roadmap and mentor teammates in data science best practices. What you bring Experience- 5 years of experience working as Data Scientist with at least 2 years managing a high performing data science team with a focus on forecasting, statistical modeling, or time series analysis. Deep knowledge of forecasting techniques: ARIMA, exponential smoothing, Prophet, Bayesian models, machine learning-based approaches, etc. Familiarity with cloud data platforms (e.g., Snowflake) and workflow tools (e.g., Airflow, dbt). Education- Ideally looking for an advanced degree (Masters or PhD) in a data-driven field (Math, Statistics, Computer Science, Physics, etc). Technical aptitude- You're technologically savvy and can easily get up to speed on modern tech stacks (Strong Python and SQL skills; experience with packages like statsmodels, scikit-learn, pmdarima, or prophet.) Ownership- The pride you put into every aspect of your work is unparalleled and undeniable Superb communication- Intentional dialogue is a superpower. You listen as well as you share your perspective with others. Resilience- We're inspired by your unwavering determination to achieve success, no matter the adversity you face along the way. Assurance- Your confidence is brilliant, yet ego-less. You possess a strong knowledge base, the ability to discover the unknown, and are open to differing perspectives. Creative problem solving- Identifying the problem is simply not enough. You're instinctually creative with your approach in finding solutions to roadblocks. Bonus points if you bring Experience with scenario modeling, Monte Carlo simulations, or optimization under uncertainty. Previous work at a financial custodian, familiar with the brokerage business and it's data Exposure to BI tools like Tableau for visualizing forecasts San Francisco, CA salary range $226,000-$283,000 USD What we bring Attracting and retaining top-tier talent is a priority. We are proud of the culture we've built and are cognizant of the ever-changing professional landscape. Our dynamic offering of perks and benefits are tailored for you to feel your best while doing your best. A hybrid work schedule for most positions to promote strong, in-person collaboration and a healthy work-life-balance. Stunning, amenity-filled office spaces in Culver City, CA, San Francisco, CA, and Dallas, TX. Our offices are intentionally designed for comfort, collaboration, and productivity. Competitive pay, as well as equity for eligible positions Premium healthcare, dental, and vision insurance plans 401k savings plan with matching contributions and immediate vesting Generous paid parental leave Professional growth and development opportunities including an employee mobility program and an annual L&D budget allocation for each employee Physical and emotional wellness programs that nurture both your mind and body Company perks program (includes discounts on pet insurance, fitness, cell phone plans, entertainment and travel, etc.) Financial guidance program (includes counseling on navigating debt, tracking personal spend, saving and planning goals, home-purchasing preparedness, etc.) Total compensation includes a competitive benefits package along with equity in the form of Stock Options (ISOs) for eligible roles. For salaried positions, a salary offer will be determined by a number of factors including experience, skill level, internal pay equity, geographic location, and other relevant business considerations. We review all employee pay and compensation programs regularly to ensure fair, equitable, and competitive pay. At Altruist, we are committed to providing fair, equitable, and competitive compensation by leveraging market data to inform our pay bands. Base salaries will be reviewed at regular intervals throughout the year, typically in conjunction with performance review cycles. By evaluating compensation on a regular basis, we are able to reward high performance and ensure all employees have opportunities for growth. Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Altruist we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role, but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Who We Are Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes. Description This is a paid 12-month program for graduate students who are interested in working at the intersection of technology, data science, and healthcare. The program is designed for all students, and again this year we encourage students who have been historically underrepresented in this field to explore the program, which is a pathway towards full-time employment within Verily. This includes but is not limited to: Black/African-American, Latinx/Hispanic, Native American, students with disabilities, veterans, and non-binary people. As a PhD Research Scholar on the Clinical AI team at Verily, you will contribute to our mission of transforming healthcare through scalable, real-world data (RWD) curation and AI-driven tools. You'll work on key problems involving electronic health records (EHRs), clinical narratives, and foundational models to help us build high-quality longitudinal datasets and intelligent systems that power precision health at scale. This internship provides the opportunity to lead independent research, publish findings, and work collaboratively with engineering, clinical, and product teams. Join us for a unique 6-month OR 12-month Research Scholar program starting in 2025. Responsibilities Collaborate with cross-functional teams to develop and refine machine learning models using real-world healthcare data. Design and prototype NLP/LLM solutions to extract insights from unstructured clinical text. Support development of foundational datasets through multi-source data integration and clinical concept abstraction. Conduct literature reviews and comparative evaluations to inform model design and healthcare applications. Communicate progress through internal presentations and, where applicable, contribute to academic publications. Qualifications Minimum Qualifications: Currently pursuing a PhD in Computer Science, Biomedical Informatics, Statistics, Data Science, or a related technical field. 2+ years of experience applying machine learning or NLP to clinical or real-world healthcare data. Strong programming skills in Python and experience with ML/NLP frameworks such as TensorFlow, PyTorch, or HuggingFace. Experience working with electronic health records (EHRs), clinical notes, or medical ontologies. Preferred Qualifications: Familiarity with large language models (LLMs), including prompting, fine-tuning, or retrieval-augmented generation (RAG). Knowledge of medical terminologies (e.g., SNOMED CT, ICD-10, RxNorm) and ontological structuring. Experience developing production-ready ML pipelines or tools in healthcare or life sciences. Strong communication skills and ability to work collaboratively with technical and non-technical stakeholders. Interest in translating research into real-world, scalable applications. The US hourly range for this Research Scholar position is $53-$63 + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Job Title Data Science Intern Job Description Stage Data Science Nous recherchons un stagiaire Data Scientist proactif et motivé pour rejoindre notre équipe R&D et nous aider à faire passer nos algorithmes de diagnostic au niveau supérieur. Philips-Cardiologs développe des algorithmes basés sur l'apprentissage profond pour aider les médecins à diagnostiquer les maladies cardiaques. En tant que stagiaire Data Scientist, vous travaillerez avec un grand et complexe jeu de données pour améliorer les performances de nos algorithmes en production. Votre fonction : Concevoir des algorithmes performants prêts pour la production Mettre en place des validations robustes pour les algorithmes Utiliser les sorties des modèles d'apprentissage automatique pour fournir des fonctionnalités précieuses à nos clients L'équipe : Vous travaillerez avec une équipe de 7 data scientists qui développent des réseaux de détection des arythmies pour la plateforme Holter Philips Cardiologs, notre logiciel de diagnostic des arythmies basé sur le cloud. Vous êtes la personne qu'il nous faut si : Vous cherchez un stage à partir de septembre 2025 Êtes un ingénieur/créatif autonome, engagé et enthousiaste Suivez un MSc en mathématiques, physique ou informatique, avec un état d'esprit " can-do " et une approche des défis Avez déjà travaillé avec Python et Git Avez de l'expérience sur des projets d'apprentissage profond / apprentissage automatique Êtes fluent en anglais parlé et écrit, et avez au moins des notions de base en français À propos de Philips Nous sommes une entreprise spécialisée dans les technologies de la santé. Nous avons bâti toute notre entreprise autour de la conviction que chaque être humain compte. Et nous ne nous arrêterons pas tant que chaque individu n'aura pas accès aux soins de santé de qualité qu'il mérite. Faites le travail de votre vie pour aider à améliorer la vie des autres. En savoir plus sur notre entreprise. Découvrir notre riche et passionnante histoire. En savoir plus sur notre objectif. Si ce poste vous intéresse et si vous correspondez à de nombreux critères ; pas nécessairement à tous, nous vous encourageons à postuler. Vous serez peut-être le candidat idéal pour ce poste, ou pour un autre, chez Philips. Apprenez-en davantage sur notre engagement envers la diversité et l'inclusion ici. #LI-Office