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About the role Muon seeks experienced candidates for the position of Data Science intern. Muon Space is building FireSat, a constellation dedicated to revolutionizing wildfire management and response. The candidate will work closely with the infrared Data Team to develop processing and analytics for the FireSat mission. The ideal candidate has a strong data science foundation, coding experience, and domain knowledge of geospatial data processing. Muon is looking for self-motivated candidates who are comfortable working with a remote team. We welcome applicants who are passionate about addressing climate change. Responsibilities: Internship projects may include some or all of the following: Data Analysis & Processing: Clean, preprocess, and analyze raw data from the FireSat IR camera and simulation to develop exquisite quality data. Model Development: Assist in building, validating, and deploying analytical and machine learning models to improve data quality and improve derived wildfire products. Data Visualization: Create visualizations to present findings and insights to both technical and non-technical stakeholders. Collaboration: Work embedded in the IR Data Team alongside scientists, engineers, and software developers to meet the objectives of the FireSat mission. Research & Innovation: Contribute to research initiatives aimed at advancing data science methods used by the IR Data Team. Qualifications: Educational Background: Currently pursuing a degree in Computer Science, Data Science, Engineering, Physics, Mathematics, or a related field. Technical Skills: Strong programming skills in Python. Comfortable with collaborative coding workflows; specifically, git-managed repositories, pull requests, and cloud-based virtual machine environments. Experience with data manipulation and analysis using libraries such as pandas, numpy, and scikit-learn. Knowledge of data visualization tools (e.g., Matplotlib, ipyleaflet, QGIS). Analytical Thinking: Ability to approach problems methodically and solve complex data challenges with creative and effective solutions. Data Experience: Experience working with messy, complicated real-world data Communication Skills: Strong written and verbal communication skills, with the ability to clearly explain complex concepts to a diverse audience. Passion for Climate: A strong interest in addressing climate change through the development of new technology. Nice-to-have Skills: Experience working with geospatial data processing concepts and software (geopandas, rasterio, GDAL; projections, remote sensing data) Knowledge of cloud computing platforms (e.g., AWS). Familiarity with machine learning algorithms and frameworks (TensorFlow, PyTorch, etc.). Experience working with remote sensing data. Salary The hourly wage for this role is $50. About Muon Space Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world. Taking Care of Our Team At Muon salary is only part of our total compensation package. In addition to salary, we provide equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave. Our mission embraces the entire planet and we believe our team should too. Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don't check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. ITAR/EAR Requirements This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. The Company may, for legitimate business reasons, decline to pursue any export licensing process.

Are you passionate about leveraging data to drive insights and improve program outcomes? Do you have strong management skills that motivate and lead teams? Ripple Effect is seeking a full-time Health Data Science Manager to take a leading role in our data-driven projects. This role involves overseeing the execution of data science and artificial intelligence (AI) techniques to support our clients' missions at NIH and other science- and health-based agencies. The ideal candidate will have a solid foundation in data science and AI experience in social or clinical science or related fields. You will thrive in a collaborative environment, where innovative thinking and problem-solving are encouraged. If you are looking for a place where your skills can truly make an impact, Ripple Effect is the right fit for you! We are a diverse and inclusive workplace that values creativity and offers flexible work arrangements to support your work-life balance. General Information Job Code: SHR-DM-04/05M Location : Ripple Effect Headquarters – Rockville, MD Employee Type : Exempt, Full-Time Regular (Ask our recruiters about flexible work arrangements ) Telework : Hybrid Clearance : Public Trust Manager : Yes Number of Openings : 1 Salary Range : $105,166.40 - $131,458.00 per year (how we pay and promote ) Responsibilities Data Science & AI Leadership: Lead and manage data science, modeling, and AI projects, ensuring technical soundness and relevance, in support of government contracts. Develop detailed project plans to track progress and manage changes in project scope, schedule and costs related to process, outcome, and impact evaluation studies. Supervise and mentor cross-disciplinary teams of data scientists and evaluation specialists. Enhance team operations through the development and implementation of streamlined processes. Data Analysis & AI: Provide technical advice on methodology approaches to accomplish project objectives (e.g., research design, analytical techniques, sampling methods). Design and implement advanced statistical models and machine learning algorithms to solve business problems, evaluate program performance, and generate insights from large and complex data sets to improve methodologies. Develop coding frameworks using NVivo, R, or other coding platforms. Stay informed of industry trends and best practices in data science and modeling, deploying AI tools such as machine learning, natural language processing, and large language models to develop new solutions. Data Management: Extract and transform raw health data from multiple sources into meaningful and actionable insights. Aggregate coded comment data to surface themes and insights. Ensure data quality and integrity by implementing robust data validation, cleaning processes, and best practices for data management. Reporting: Develop client reports using aggregated data. Track and process progress reports using an electronic database. Review documents for accuracy and collaborating with team members to resolve any discrepancies. Present findings and recommendations to key decision-makers in a clear and concise manner. Training & Documentation: Develop training materials and co-lead training events. Develop and revise SoPs and other related process documentation. Collaborate with stakeholders and clients to define data science needs and project objectives. Contribute to proposal writing and technical solutioning for new projects. Perform other job-related duties as assigned. Requirements Minimum Education and Experience Bachelor's degree in data science, statistics, or other relevant field 10 years relevant work experience, including at least 4 years of those years in a social or biomedical science related field Basic Requirements Experience developing data-driven insights and visualizations that clearly convey complex concepts and conclusions. Experience leading biomedical research or public health data science projects for the federal government Strong understanding and proven experience with AI, statistical and machine learning techniques, and other emerging technologies to enhance analytical conclusions. Proven experience as a Senior Data Scientist, with a focus on data analysis, modeling, evaluation, and visualization and technical experience with qualitative or quantitative software packages. Proficient in coding languages such as Python or R, data manipulation tools like SQL, and cloud platforms like Azure. Advanced skills with Microsoft Excel, PowerPoint, Word and Outlook. Excellent organizational skills, attention to detail, and effective communication skills. To be successful at Ripple Effect, you must be able to pay attention to details, clearly communicate, work independently, and have an eagerness to learn. Learn more about what it takes to become a Rippler here . Skills That Set You Apart Masters or doctoral degree in relevant field Supervisory experience Established networks in government contracting that can be leveraged Experience with bibliometrics or portfolio analysis Certifications and demonstrated coursework in data science techniques Project Management Professional (PMP) or other management certifications If you don’t have all of the skills above, don’t be discouraged—no resume paints a complete picture of a person. There’s a good chance you’re more wonderful than you think, so please apply! About Ripple Effect Ripple Effect is an award-winning women-owned small business providing professional consulting and exceptional talent for federal, private, and non-profit clients. We deliver multi-disciplinary solutions across Communications & Outreach , Research & Evaluation , Program Management & Policy , Digital Transformation , and Technical & Scientific Support solutions with a focus on science, research, and healthcare domains. Hiring Process | Life at Ripple Benefits Ripple Effect rewards our employees for their contributions to our mission in many ways, from competitive pay and exceptional benefits to a range of work/life programs based on your employment classification and personalized preferences. ----------------------------------------------------------------------- Ripple Effect is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, political affiliation, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation during the hiring process, please let us know by contacting our HR department at HR@rippleeffect.com or your recruiter. Eligibility for employment will be verified using E-verify .

Description JOB DESCRIPTION Job Title: Intern, Data Science Department: Baseball Operations Reports To: Manager, Data Science Status: Hourly, Non-exempt Timeline: Preference will be given to candidates who can start by March 1, 2026 or sooner, and work through mid-October 2026. Primary Objective : Responsible for supporting all areas of baseball operations through baseball-related data science, including statistical modeling, research, visualizations, and other projects. Essential Functions : Statistical modeling and analysis of a variety of data sources including Trackman, Hawkeye, and proprietary data sets. Ad hoc queries and quantitative research. Will perform other duties as assigned. Education and Experience: Bachelor’s degree preferred. Public research and work experience may be considered in lieu of education requirements if approved by management. A strong foundation in mathematics, statistics, computer science, and/or engineering required. Proficiency in programming with either R, Python or Julia required. Proficiency with SQL preferred. Track record of original baseball research preferred. Experience building and interpreting predictive models preferred. Competencies, Knowledge, Skills and Abilities (KSA’s): Strong technical skills in predictive modeling, data analysis, and research. A uthentic and Aware: Exemplifies the highest standards of professionalism and ethics, demonstrating a dedication to doing the right thing and treating everyone with respect. Is self-aware and open to feedback, ability to speak the truth with a positive intent, foster a culture of honesty and builds trust with the team. Commitment to the organization's mission is evident in both words and actions, aligned to actively contribute to the fulfillment of organizational goals. Communicate and Collaborate: Values others and their views, actively engaging and partnering with team members. Seeks clarity and shares information transparently, fostering a collaborative environment while influencing others and aligning support. Excels in seeking out and leveraging the right resources, engaging in teamwork with a positive and productive approach. Whether verbally or in writing, communicates in a clear and constructive manner, contributing to an engaged and efficient workplace. Execute with Purpose: Takes action and demonstrates accountability, leading with a sense of urgency and dedication to achieving results. Sets and meets challenging expectations for themselves and others, making timely, data-driven decisions and taking ownership of outcomes. Approachable, engaged, and committed; sets a positive tone and cares deeply about the organization. Manages time, priorities, and resources effectively, aiming for and achieving excellence. Adapt and Innovate: Acts boldly, fosters innovation, and supports transformational change. Leveraging analysis and insights, develops new directions and solutions, identifying opportunities for improvement and displaying a commitment to fixing them. With an ongoing commitment to learning and self-development, overcomes challenges constructively and adjusts effectively to shifting priorities and rapid change. This approach contributes to a dynamic work environment focused on progress and continuous improvement. The Mariners are committed to providing competitive pay, perks, and benefits packages for our valued Team Members. The anticipated starting pay for this role is $22 per hour. All perks are subject to eligibility requirements and availability and may be modified or amended from time to time. This information is being provided in accordance with the Washington State Equal Pay and Opportunity Act .

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, R&D Data Science, MDM Products This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA. This position requires up to 25% travel. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Director, Product Mastering is responsible for establishing and governing an end-to-end mastering capability for product-related data, beginning with compounds in Therapeutic Discovery (TD), continuing through Preclinical Sciences & Translational Safety (PSTS), extending into Pharmaceutical Therapeutics Development & Supply (PTDS), and connecting seamlessly with clinical trial and regulatory data. This lifecycle mastering ensures continuity into commercial brand naming and labeling. This role ensures that product master data—including compounds, formulations, investigational products, clinical identifiers, regulatory submissions, and commercial brand hierarchies—is trusted, harmonized, and semantically consistent across the entire R&D to Commercial continuum. The Director will leverage ontologies and knowledge graphs to connect and contextualize product information across silos, enabling advanced analytics, AI/ML, regulatory compliance, and global interoperability. Key Responsibilities End-to-End Product Mastering Strategy Define and execute a mastering strategy covering the full product lifecycle: from discovery compounds → preclinical entities → development products (PTDS) → clinical trial identifiers → regulatory designations → commercial brand names. Ensure a single, authoritative source of truth for all product-related master data, harmonized across functions and systems. Identify gaps, redundancies, and opportunities for automation, external data partnerships, and standards alignment. Ontology & Knowledge Graph Development Lead the development and governance of a Product Ontology that links compounds, formulations, regulatory identifiers, and brand entities. Apply knowledge graph technologies to connect product data across TD, PSTS, PTDS, clinical, regulatory, and commercial domains. Align ontology and graph models with enterprise metadata standards and external frameworks Governance & Standards Establish stewardship, ownership, and governance models for product master data across R&D and Commercial. Define and enforce standards for product hierarchies, nomenclature, and lifecycle transitions. Partner with Regulatory Affairs, Clinical Operations, Supply Chain, and Commercial to ensure product mastering supports submission, labeling, and compliance needs. Integration & Collaboration Collaborate with Knowledge Management, Data Products, and Metadata/Cataloging teams to ensure product master data is discoverable, connected, and reusable across the enterprise. Work with IT (JJT) to evaluate and implement enabling technologies for ontology, graph-based integration, and master data platforms. Align with parallel MDM domains (e.g., patient, site, account) to ensure cross-domain consistency. Quality, Performance & Communication Define and track KPIs for product master data quality, timeliness, and traceability across the lifecycle. Provide governance dashboards and reports to R&D and Commercial leadership. Communicate the vision, progress, and value realization of product mastering to senior executives and cross-functional stakeholders. Strategic Impact The Director, Product Mastering ensures that product-related data is connected across the full R&D-to-Commercial lifecycle. By embedding ontology-driven governance and leveraging knowledge graphs, this role transforms product data into a trusted, AI-ready asset that accelerates discovery, supports regulatory submissions, ensures compliance, and strengthens commercial readiness. Qualifications Education Master’s or PhD in life sciences, regulatory sciences, informatics, data science, or related field. Skills & Expertise 8 + years of experience in pharma/biotech R&D or commercial functions, with significant exposure to product lifecycle and regulatory data. Demonstrated expertise in master data management, ontology development, and knowledge graph applications. Proven track record of integrating product data across discovery, development, clinical, regulatory, and commercial domains. Strong understanding of product data standards Hands-on experience with metadata management, ontologies, and graph-based integration technologies. Ability to connect scientific, regulatory, and commercial perspectives into a unified product mastering framework. Strong leadership, communication, and cross-functional collaboration skills. Ability to influence and drive adoption of product mastering practices across global organizations. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JRDDS #JNJDataScience #JNJIMRND-DS The anticipated base pay range for this position is : The anticipated base pay range for this position is $160,000 to $276,000 USD. Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $45,500 - $57,000 - $68,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Job Title: Winter, Spring 2026 Co-op-Intern- Data Science and Digital Transformation Grade: Co-op Intern LL Hiring Manager: Yuanyuan Cui Location: Framingham, 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. 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? Department Description: 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. The Co-op position is in DSD Mechanistic Modeling & Process Control group. The group develops and implements advanced process modeling and technologies (e.g. 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 Main Responsibilities: The successful candidate will support the development and implementation of process modeling and new technologies (focusing on modeling bioreactor and cell culture processes) for improved process tech transfer/scale-up, monitoring and control strategies: Modify existing simulations to adapt to process changes and better understand the cell culture process Use simulations and process data to identify atypical results Test capabilities of simulation platform and user interface for application to a new use case Work as part of a team, engaging with other scientists and engineers with complementary skill sets Generate documents (presentations, user guides, reports) related to learnings and achievements 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 Master's, or PhD in Chemical/Biological Engineering, Data/Computer Science, or a related field at an accredited college or university with the expectation that you will complete your current degree by the Spring of 2028. Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship. Experience with programming in Python or similar for data analysis/modeling Understanding of basic concepts of chemical reaction, cell growth and metabolism Preferred Qualifications: Understanding of biomanufacturing processes, particularly in cell culture, fermentation, or bioreactor operations. Familiarity with process modeling (mechanistic/hybrid modeling, chemometric modeling e.g. PAT Raman) and control Strong communication and collaboration skills across technical and scientific teams. Key Learnings: This unique opportunity provides following key learnings: 1) Gain knowledge on process model development using first principles and machine learning techniques. 2) Gain understanding of bioprocesses (e.g. cell culture) 3) Gain exposure to PAT Raman and integration with Digital Twin 4) Practice written and oral communication skills 5) Gain understanding of experimental design and data analytics 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.

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us. Position Summary Data science and software engineering are increasingly critical in pharmaceutical research & development (R&D), enabling more efficient workflows, higher data quality, and improved communication of insights. Internal applications that streamline end-to-end data science processes-from data parsing and cleaning to visualization and reporting-can significantly reduce manual effort, improve reproducibility, and accelerate project delivery. Likewise, workflow management tools that track assignments, deadlines, and team capacity can optimize resource allocation and enhance collaboration. We are seeking passionate candidates to design and develop lightweight applications that support both scientific and operational needs, including visualization of complex clinical datasets, automated data validation frameworks, and scheduling tools for project management. By integrating automation and intuitive interfaces, these applications will help the team better investigate data, manage workloads, and communicate findings to technical and non-technical stakeholders alike. This internship will provide hands-on experience in full-stack software engineering with real-world datasets, offering opportunities to work on user interface design, backend development, data validation, and advanced visualization. The role offers a unique chance to contribute to the transformation of data science workflows in a clinical research setting, while gaining exposure to the intersection of software engineering and pharmaceutical R&D. As part of the Bristol Myers Squibb Intern Program, the intern will have an opportunity to gain understanding of the drug development process through interactions with matrix drug development teams, as well as networking opportunities with other interns/BMS colleagues. By developing applications that bridge software engineering and data science, this internship will enhance the team's ability to manage projects, validate data, and extract insights, ultimately contributing to more efficient and reliable pharmaceutical research. The full-time internship will take place June - August 2026. Key Responsibilities Collaborate with experience employees in the Data Science group on projects applicable to: Application Development: Design and implement lightweight web applications to support data science workflows, including tools for parsing, examining, and cleaning clinical datasets. Visualization: Develop interactive visualization platforms to investigate complex datasets, identify patterns and anomalies, and communicate insights to both technical and non-technical stakeholders. Workflow Optimization: Build scheduling and resource management tools to track project assignments, deadlines, and team capacity, enabling more efficient workload distribution when new projects are initiated. Integration and Automation: Incorporate automation into routine processes, such as data ingestion, validation, and reporting, to reduce manual effort and improve reproducibility across projects. Participate in the BMS Intern Program activities and presented work at greater team meetings and scientific poster sessions. Qualifications & Experience Currently enrolled in either Graduate or PhD program with a graduation date later than August 2026. Proficiency in Python and JavaScript/TypeScript. Familiarity with modern front-end frameworks such as React, or Angular. Experience with backend development using tools such as FastAPI, Flask, or Node.js. Exposure to data visualization libraries or frameworks (e.g., Plotly) for building interactive dashboards. All candidates must be authorized to work in the US both at the time of hire and for the duration of their employment. Please note that immigration or visa sponsorship is not available for this position. Nice to Have: Understanding of version control (Git), testing practices, and reproducibility principles. Experience in understanding and working with clinical data. Strong problem-solving ability, attention to detail, and the ability to work collaboratively with a multidisciplinary team. This is a temporary, time-bound position intended for the duration of the internship or co-op program. Employment in this role does not imply or guarantee ongoing or permanent employment with BMS. The starting hourly compensation for this assignment is within the range of $35.00 to $43.00/hr. Please note that the final individual compensation and any applicable benefits will be determined by your employer of record (and not BMS). Factors influencing this decision may include the characteristics of the assignment, such as demonstrated experience, required skill, and the geographic location of the job. Compensation details are subject to change. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Compensation Overview: The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/ . Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as "Transforming patients' lives through science ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Job Description Wentworth Institute of Technology's School of Computing and Data Science is seeking a forward-thinking Program Director to lead our undergraduate and graduate programs [B.S. Applied Math, B.S. in Data Science, B.S. in Interdisciplinary Artificial Intelligence (currently under consideration), and M.S. in Data Science] in collaboration with faculty and school leadership. Reporting to the Dean, the Program Director plays a key role in curriculum development, accreditation, program assessment, and student success. Key Responsibilities: Oversee curriculum planning, assessment, and accreditation. Coordinate scheduling, faculty assignments, and academic standards. Support student advising, recruitment, and retention efforts. Collaborate with university offices such as Registrar, Marketing, and COOPS+CAREERS. Teach up to 3 courses during the academic year and 2 in summer for additional pay. Assist with strategic planning, budgeting, and program communications. The ideal candidate will have strong leadership skills, experience in academic administration, and a passion for student-centered education. Minimum Requirements: Doctoral degree or equivalent terminal degree in Applied Math, Mathematics, Data Science, Computer Science (AI or ML), Education with a strong quantitative or computing focus, or a closely related field. Exceptional candidates with an ABD (All But Dissertation) status or a relevant Master's degree plus significant teaching or research experience will also be considered. 3+ years of experience in teaching, research, or programmatic contributions in academic, industry, or public sector settings. Comprehensive knowledge and understanding of higher education and its challenges and opportunities Experience in serving students, management, and leadership Record of clear research and scholarship agenda Record of commitment to inclusive excellence. Preferred Requirements: Doctoral degree is preferred. Preferred Work Experience Required: 5-8 years of progressive responsibility in academic, research, or equivalent roles, including teaching, program development, or leadership. Experience in a tenure-track or teaching-intensive role is a plus but not required. Record of excellence in pedagogy and curriculum development Record of excellence in leadership and management Record of excellence in working in a collaborative environment We value diverse career paths and encourage applicants from industry, government, or interdisciplinary academic backgrounds who demonstrate commitment to teaching, innovation, and student success. Candidates who bring experience in inclusive pedagogy, emerging technologies, or cross-disciplinary collaboration are especially encouraged to apply. Join us and help shape the future of our programs and students. Apply by submitting your CV and cover letter to this posting. About Wentworth & the School of Computing and Data Science: Wentworth is an institution known as a university of opportunity with a high return on investment for its graduates. Our mission is to empower, inspire, and innovate through experiential learning and a student-centered approach to education. The School of Computing & Data Science consists of 30+ full-time faculty that offer undergraduate majors in Computer Science, Cybersecurity, IT, Data Science, and Applied Mathematics and graduate degrees in Computer Science, Data Science, and Cybersecurity. The school has teaching and research strengths in artificial intelligence, data science, cybersecurity, high-performance computing, mobile/web application development, stochastic processes, dynamical systems, financial math and modeling. In addition, members of the school have close collaborative relationships with faculty in sciences, humanities, and electrical and computer engineering, among others. Our faculty comprises individuals from wide-ranging backgrounds and experiences, where collaboration is highly encouraged and supported, and our School has no department boundaries. Another point of pride is that our faculty members include those with significant industrial, consulting, entrepreneurial, and project management experience. Inclusive Excellence at Wentworth Inclusive Excellence is one of the four pillars of the Strategic Plan. Actively and intentionally cultivating a diverse and culturally competent institution where each member has the opportunity and support to reach their full potential and make contributions to our campus community and beyond is Inclusive Excellence at Wentworth. To find out more about the Wentworth's commitment to Inclusive Excellence, please visit the website https://wit.edu/about/inclusive-excellence . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu. E-Verify for Employment Eligibility Verification (Form I-9) Wentworth participates in E-Verify. E-Verify is an internet-based system that compares information from your Form I-9 to records available to the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA) to confirm that you are authorized to work in the United States.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job Category: Professional All Job Posting Locations: Cambridge, Massachusetts, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for Director, R&D Data Science & Digital Health - Neuroscience to be located at one of our sites in Cambridge, MA, Titusville, NJ, or La Jolla, CA. Remote work options in the US may be available and will be considered on a case-by-case basis and if approved by the Company. Role Summary This visionary leader will join the Neuroscience Data Science and Digital Health (DSDH) team to transform neuroscience clinical trials through cutting-edge AI, digital health technologies and advanced statistical methodologies. This role will work on the discovery, development and validation of novel digital endpoints and tools, enhancing patient screening, recruitment, monitoring, and engagement. By combining deep knowledge of neuroscience with expertise in data science and digital health, the leader will deliver innovative, fit-for-purpose solutions that enhance patient-centricity, streamline trial execution, and support regulatory and payer acceptance. This will be achieved by being an integral member of a matrixed team working closely with the Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes, and by establishing strategic external collaborations. Key Responsibilities Advancing our Digital Health Strategy Partner with cross-functional teams to create strategic roadmaps that integrate digital health solutions throughout the patient journey, ensuring clinical relevance and patient-centered outcomes. Monitor emerging technologies and trends to bring forward next-generation solutions for neuroscience research and development. Endpoint & Digital Tool Development Partner with cross-functional teams (e.g., disease subject-matter-experts, data scientists, statisticians, precision measures leads and clinicians) on (a) study design, development and validation of algorithms and analysis pipelines for digital health data; (b) Development of multimodal approaches combining digital health data with imaging, blood-based biomarkers and real world data to enable precision neuroscience. Regulatory & Evidence Generation Contribute to evidence packages to support regulatory qualification of digital endpoints and tools. Partner with regulatory and medical affairs to engage health authorities and payers on the acceptance of digital health approaches. Ensure validation and compliance with evolving global regulatory and data privacy standards. Cross-functional & External Leadership Collaborate with clinical operations to integrate digital health technologies into trial design. Partner with the rest of the organization to optimize data capture, integration, and interoperability of digital solutions. Represent the organization in external consortia, conferences, and collaborations to influence digital health standards in neuroscience. Qualifications Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics or a related field. 8+ years of experience in pharmaceutical, biotech, or healthcare analytics. Experience in clinical development, digital health or outcome assessments, with demonstrated expertise in neuroscience preferred. Extensive experience in advanced analytical methodologies, including biostatistics, machine learning and statistical modeling of digital health data such as speech and sensor data and/or neuroimaging, and in multimodal data analysis approaches is required. Knowledge of state-of-the-art AI methods is an advantage. Strong track record in developing and validating digital health tools, clinical endpoints, or biomarkers, ideally with regulatory interactions. Experience integrating digital solutions into patient recruitment, screening, and clinical trial operations. Familiarity with data standards, privacy regulations, and regulatory qualification pathways for digital measures. Excellent cross-functional leadership, communication, and collaboration skills. Track record of scientific contributions (presentations and publications) in this field is required. This position may be located in Cambridge, MA, Titusville, NJ, or La Jolla, CA. Remote work options in the US may be available and will be considered on a case-by-case basis and if approved by the Company. May require up to approximately 10% yearly travel (international and domestic). Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $160,000 to $276,000. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL #JNJDataScience #JNJIMRND-DS #JRDDS #LI-Remote #LI-Hybrid

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $45,500 - $57,000 - $68,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Itron is innovating new ways for utilities and cities to manage energy and water. We create a more resourceful world to protect essential resources for today and tomorrow. Join us. The AI Data Science Analyst within the HR AI Enablement & Strategy team will support the building, design, testing, and deployment of AI-driven solutions across HR functions, with a focus on automation and intelligent agents. This role will help translate HR data into actionable insights, assist in training and evaluating AI agents, and partner with cross-functional teams to ensure data integrity and ethical AI use. Duties & Responsibilities: Support building, design, testing, and deployment of AI-agent driven HR solutions Focus on automation and intelligent agents Translate HR data into insights and assist in AI agent training/evaluation Required Skills & Experience: Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or a related field Strong Python or R skills, experience with data visualization tools (e.g., Power BI, Tableau) Foundational understanding of data science concepts like machine learning and natural language processing Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) for AI/ML deployment Curiosity, adaptability, and a desire to grow into AI product development are key Project management capabilities Preferred Skills & Experience: Advanced degrees (Master's or PhD) in relevant disciplines are a plus Microsoft certifications in AI, data analytics, or cloud platforms (e.g., Azure AI Engineer Associate, Power BI Data Analyst Associate) or equivalent certifications. Travel: 0-10% Benefits Info: This position also includes a competitive benefit package including; financial, social, health and wellbeing programs, paid vacation, 401k matching, employee stock purchase program, hybrid work schedule, and more! #LI-MD1 Itron is committed to building an inclusive and diverse workforce and providing an authentic workplace experience for all employees. If you are excited about this role but your past experiences don't perfectly align with every requirement, we encourage you to apply anyway. In the end, you may be just who we are looking for! The successful candidate's starting wage will be determined based on permissible, non-discriminatory factors such as skills and experience. Itron is proud to be an Equal Opportunity Employer. If you require an accommodation to apply, please contact a recruiting representative at 1-800-635-5461 or email Accessibility@itron.com. Itron is transforming how the world manages energy, water and city services. Our trusted intelligent infrastructure solutions help utilities and cities improve efficiency, build resilience and deliver safe, reliable and affordable service. With edge intelligence, we connect people, data insights and devices so communities can better manage the essential resources they rely on to live. Join us as we create a more resourceful world: www.itron.com

Pay Range: $42.87/hr. - $55.73/hr. | $105,000 - $115,914 annual compensation Job Posting Closing on: Monday, October 20, 2025 Workdays & Hours: Monday- Friday 8am- 5pm; Some evening/weekend work required. Benefits for this position include: 11 Paid Holidays, Medical, Dental, Vision, Paid Time Off, Pension Plan, Professional Development Opportunities. Find Out More! The City of Fort Worth is one of the fastest growing large cities in the U.S. Our employees serve the needs of over 1,000,000 residents, promoting our values of exceptional customer experience, mutual respect, embracing our diversity, continuous improvement, ethical behavior, and accountability. A Sr. Data Science Analyst- Business Analytics job is available with the City of Fort Worth FWLab Data Analytics division. The FWLab houses the Budget, Revenue and Special Districts, Strategy and Performance, and Data Analytics division of the City of Fort Worth. Our focus is on building organizational capacity to explore, analyze, and learn from data that is discoverable via existing and municipal systems and components. Minimum Qualifications: Bachelor's Degree from an accredited college or university with course work in Computer Science, Finance, Economics, Public Administration, Business Administration, Information Technology, or a related field Four (4) years of experience required. Preferred Qualifications: Proven experience collaborating with business stakeholders to translate operational functions into analytical solutions, including proficiency in quantitative modeling for business problems (e.g., cost-benefit analysis, forecasting). Strong skills in data visualization and business intelligence tools (e.g., Power BI), along with familiarity in programming languages (e.g., Python, R) and query languages (e.g., SQL). Knowledge of data pipeline tools (e.g., Apache Airflow, dbt) and cloud platforms (e.g., Azure, AWS), as well as experience with GIS tools (e.g., ArcGIS, QGIS) for delivering location-based insights. The Sr. Data Science Analyst- Business Analytics job responsibilities include: Collaborates with departments to understand business operations, identify challenges, and conduct quantitative research to support data-driven decisions. Builds and maintains models, dashboards, and reports for various scenarios, providing actionable recommendations to optimize costs and performance. Performs exploratory analysis on multimodal datasets, including GIS integration for spatial insights, to uncover trends and inform strategic recommendations. Gathers requirements from stakeholders, documents business needs, and ensures analytical output aligns with operational goals and priorities. Develops custom quantitative frameworks through detailed investigation and domain learning. Communicates findings and recommendations clearly to non-technical audiences, such as management, to drive changes and efficiency gains. Automates reporting processes and integrates GIS data for enhanced visualization and decision-making in projects. Apply Now! Come be part of something special in Fort Worth. Conditions of Employment The City of Fort Worth is proud to be an Equal Employment Opportunity employer. It is the policy and practice of the City to recruit, hire, train and promote a diverse workforce without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or another non-merit factor. The City of Fort Worth is committed to full compliance with the Americans with Disabilities Act. Reasonable accommodations may be made to enable qualified individuals with disabilities to participate in the job application or interview process and to perform essential job functions. Candidates who do not meet the Education requirement, may be considered if they have more relevant work experience than the position requires. Those selected for employment will be required to pass Pre-Employment checks depending on the position requirements. Those could include, but are not limited to: criminal background check, drug screen, education verification, etc. criminal convictions will be considered on a case-by-case basis. Employees are paid by direct deposit only.

What success looks like in this role: Performs analyses on a variety of complex data sets to solve real world business and customer use cases. Executes complex and impactful analytical and modeling projects. Performs various applied statistical analyses end-to-end, from problem definition through to data extraction, and insight generation. Leads and/or supports complex automation efforts across the data management spectrum, helping drive efficiencies in areas such as: o Data cleansing, o Data exploration, o ML modeling (i.e., identifying tools to find appropriate models for given datasets), o Model evaluation, and o General workflow automation. Performs ad-hoc analyses in response to specific and emerging customer requirements. Collaborates with team members to address and resolve complex and never-before-resolved challenges. Leverages findings, insights and experience from previous projects to underpin decision making and challenge partners to view assumptions from multiple, diverse perspectives. Mentors less experienced team members. You will be successful in this role if you have: BA/BS degree and 6-8 years' relevant experience OR equivalent combination of education and experience Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys' EEO commitment here.

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. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $166,800.00 - $250,000.00 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 Company: TransUnion LLC

The Team At Learning Commons, we pair technology with grantmaking to scale proven teaching and learning practices to benefit every learner. We aim to translate what learning science tells us about how students learn best into classroom practice. With the advent of generative AI, that translation work can be accelerated and scaled to have a greater impact. Our mission is to bring learning science into the tools used every day by teachers and students, ensuring that technology reflects the realities of classrooms and strengthens teaching and learning. In today's fragmented edtech landscape, school districts are often left piecing together products that don't always align with curricula or instructional needs. While AI holds enormous potential to support educators, it can only deliver on that promise when grounded in research, high-quality educational data, and expert evaluation. That's why we're building open, public-purpose infrastructure - datasets, rubrics, and resources - that help raise the standard for educational tools and create more consistent, impactful learning experiences for all students and teachers. At our core, we are builders, and our unique builder philanthropy approach is what sets us apart from other education funders. Take a closer look at the highlights and significant milestones of CZI's first eight years of education work. The Opportunity Education is building foundational infrastructure that ensures the quality of the AI systems that are being built for use in classrooms. Our Evaluators team is at the core of this work, building tools that evaluate the quality and educational relevance of the output of LLMs and other AI systems, at the cutting edge of AI's application to education. As the Senior Manager, Data Science and Software Engineering for our Evaluators team, you will lead a team of data scientists, software engineers, and machine learning engineers who build and maintain our rapidly growing set of evaluators. You will work with leading subject matter experts to develop tools that measure the educational suitability of AI systems. This is a phenomenal opportunity to make an impact in the field of education, by setting the standard way to evaluate AI systems. What You'll Do Manage the team of data scientists, software engineers, machine learning engineers, including holding them accountable, performance management and hiring to expand the team Drive an iterative/agile mindset into our organization, and set the bar for engineering and process excellence Drive the team's technical strategy, especially as we scale up the work Partner closely with product management to define and execute the product roadmap Work with internal and external partners to expand the scope of evaluation What You'll Bring 5 or more years of people management experience with a focus on engineering and process excellence Experience managing data scientists and software engineers A passion for innovation and rapid iteration Experience leading teams in rapidly scaling environments, with a demonstrated ability to thrive in ambiguity and lead others through moments of change A business-driven approach that puts customer needs first Experience in the rapidly evolving field of AI/ML Deep interest in how we measure the quality of LLMs Compensation The Redwood City, CA base pay range for a new hire in this role is $241,000.00 - $362,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Work Mode As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process. Benefits for the Whole You We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. Provides a generous employer match on employee 401(k) contributions to support planning for the future. Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs. Life of Service Gifts are awarded to employees to "live the mission" and support the causes closest to them. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving to the Bay Area And more! If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers. #LI-Hybrid

The Team CZI supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems - paving the way for new discoveries that will change medicine in the decades that follow: Building an AI-based virtual cell model to predict and understand cellular behavior Developing state-of-the-art imaging systems to observe living cells in action Instrumenting tissues to better understand inflammation, a key driver of many diseases Engineering and harnessing the immune system for early detection, prevention, and treatment of disease CZI's work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science. The Opportunity At CZI, we are generating unprecedented scientific datasets that drive biological modeling innovation: Billions of standardized cells of single-cell transcriptomic data, with a focus on measuring genetic and environmental perturbations 10s of thousands of donor-matched DNA & RNA samples PB-scale static and dynamic imaging datasets TB-scale mass spectrometry datasets Diverse, large multi-modal biological datasets that enable biological bridges across measurement types and facilitate multi-modal model training to define how cells act. After model training, we make all data products available through public resources like CELLxGENE Discover and the CryoET Portal, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery. As a Senior Data Scientist, you'll lead the creation of groundbreaking omics datasets that decode cellular function at the molecular level, describe development, and predict responses to genetic or environmental changes. Working at the intersection of data science, biology, and AI, you'll define data needs, format standards, analysis approaches, quality metrics, and our technical strategy, creating systems to ingest, transform, and validate and deploy data products. Success for this role means delivering high-quality, usable datasets that directly address modeling challenges and accelerate scientific progress. Join us in building the data foundation that will transform our understanding of human biology and move us along the path to curing, preventing, and managing all disease. What You'll Do Contribute to a robust omics data ecosystem: build single cell data ingestion pipelines, select data formats, standards, and database schemas, and write validation tools, QC approaches, and analysis pipelines. Collaborate with ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to maximize model performance. Discover and define new data generation opportunities, and manage the delivery of those data products to our AI team. Collaborate with engineers, product managers, UX designers, and other data scientists to publish valuable datasets as part of CZI's open data ecosystem. What You'll Bring 5+ years of experience with large scale genomic and/or epigenomic datasets. Demonstrated delivery of large biological data products. Experience with big data: extraction, transport, loading, databases, standardization, validation, QC, and analysis. Experience with processing and orchestration pipelines, such as Argo Workflows, Databricks Strong fundamentals in statistical reasoning and machine learning. Experience with biological data analysis and QC best practices Excellent written and verbal communication skills. Enthusiasm to ramp up on technologies and learn new domains. Experience working in a multidisciplinary environment (engineering, product, AI Research). Compensation The Redwood City, CA base pay range for a new hire in this role is $190,000 - $261,800. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Better Together As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process. Benefits for the Whole You We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. CZI provides a generous employer match on employee 401(k) contributions to support planning for the future. Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs. CZI Life of Service Gifts are awarded to employees to "live the mission" and support the causes closest to them. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving to the Bay Area And more! If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers. #LI-Hybrid

What you'll need to succeed as Senior Scientist, Data Science at XPO Minimum qualifications: Bachelor's degree or equivalent related work or military experience 2 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management Experience with statistical modeling, data analytics and visualization using R and Python (Numpy, Pandas, Scipy, Plotly and Matplotlib) Significant experience applying one or more analytical methods: regression (preferably mixed models), data classification and reduction (cluster, factor, principle components, decision trees), Bayesian inference or other advanced machine learning techniques Deep understanding of statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods Technical database knowledge (Oracle, NoSQL, data modeling) and experience optimizing SQL queries on large data Ability to write SQL fluently, recognize and correct inefficient or error-prone SQL, and perform test-driven validation of SQL queries and their results Proficiency in Microsoft Office and Windows applications Availability to work periodic 24/7 on-call support as required by the team's rotation schedule Preferred qualifications: Master's degree in Computer Science, MIS, Engineering, Business or a related field Data science specialization from Coursera, Udacity, Data Camp, etc. 5 years of experience in data science, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, and AI 5 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management Ability to quickly learn and achieve proficiency in new software applications About the Senior Scientist, Data Science job Pay, benefits and more: Competitive compensation package Full health insurance benefits available on day one Life and disability insurance Earn up to 15 days of PTO over your first year 9 paid company holidays 401(k) option with company match Education assistance Opportunity to participate in a company incentive plan What you'll do on a typical day: Conceive and develop end-to-end solutions focused on data science and engineering, using machine learning and deep learning algorithms, statistical concepts, data modeling, software development, cloud computing and visualizations Resolve technical issues in existing processes and current development work; solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines Understand and improve shared standard patterns, templates and artifacts for data science platform architecture, data science development approaches, data models, new technology adoption and rollout Collaborate with IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery Mentor other team members on technical skills, methodologies, problem solving approaches and standard patterns used at XPO Generalize and share technical approaches among other developers, and simplify and communicate completed work to broader audiences across the company Help support data consumers to ensure they have reliable access to trusted data About XPO XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. Review XPO's candidate privacy statement here. Nearest Major Market: Dallas Nearest Secondary Market: Fort Worth Job Segment: Cloud, Testing, Data Analyst, Database, Data Modeler, Technology, Data Apply now "

About SonderMind At SonderMind, we believe everyone deserves one personalized, connected, and effective mental health destination to take care of their mental health and well-being at any stage of life. SonderMind care encompasses everything from therapy and medication management to meditation and mindfulness exercises. Our clinicians leverage our digital tools and research to deliver increasingly high-quality care and to develop thriving practices. Combining technology and human connection, SonderMind drives better outcomes through our comprehensive approach. Learn more about SonderMind at sondermind.com or download the mobile app, available on iOS and Android. To follow the latest SonderMind news, get to know our clients, and learn about what it's like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter. About the Role We are seeking a visionary Director, Applied Science and Data Engineering to lead our AI, Machine Learning (ML), Generative AI initiatives, and Data Engineering. This strategic leadership role requires deep expertise in advanced data science methodologies, large-scale data management, and AI-driven innovation. The ideal candidate will have a proven track record of leading teams in large enterprises and agile startups, preferably with experience in the healthcare and/or the mental health domain. What you'll do Leadership & Strategy: Develop and execute the company's AI/ML and data science roadmap, aligning with business goals and driving measurable outcomes. AI/ML Innovation: Oversee the design, development, and deployment of cutting-edge AI models, including Generative AI solutions, leveraging extensive data sets for impactful insights. Data Strategy: Manage large and complex data ecosystems, ensuring high data quality, governance, and scalability to support AI/ML initiatives. Enterprise Data Management: Oversee the Enterprise Data team to design, build, and manage scalable data infrastructure, data pipelines, and data integration frameworks that support AI/ML and business intelligence needs. Experience Personalization: Develop and implement AI-driven personalization strategies to enhance user experiences and improve engagement. Natural Language Processing (NLP): Lead the development and integration of NLP technologies to extract insights, automate processes, and enhance customer interactions. Team Building & Development: Build, mentor, and inspire high-performing data science teams. Foster a culture of innovation, collaboration, and continuous learning. Partnerships & Collaboration: Collaborate cross-functionally with engineering, product, and business teams to integrate AI solutions into real-world applications. Healthcare/Mental Health Focus: Leverage experience or understanding of healthcare or mental health systems, clinical data, and compliance frameworks to drive AI solutions that improve outcomes and efficiency. Research & Advancement: Stay ahead of industry trends, ensuring the adoption of emerging AI technologies and best practices to maintain a competitive edge. Operational Excellence: Establish KPIs to measure the success of AI/ML initiatives, driving accountability and impactful results. What does success look like? In your first year, you'll be a key driver of SonderMind's strategy to use AI and data to deliver more personalized, effective mental health care. Success in this role will look like: Leading key decisions on whether to build proprietary models or leverage large language models (LLMs), with clear frameworks that balance innovation, performance, and compliance. Delivering AI-powered personalization that adjusts care recommendations based on client acuity, driving better engagement and outcomes. Defining and implementing data-driven outcome measurement frameworks, enabling us to track and improve the effectiveness of care at scale. Partnering cross-functionally with clinical, product, and business leaders to ensure applied science work solves high-priority, real-world problems. Launching AI initiatives with measurable business impact-such as reducing provider administrative burden, improving client-provider matching, or accelerating care onboarding. Establishing technical excellence by building reliable, secure, and scalable data and AI systems that meet the needs of a growing healthcare organization. Driving adoption and trust in AI tools among clients and providers through intuitive integration, strong performance, and transparent communication. You'll be measured not just on innovation, but on the clarity, usability, and impact of the solutions you and your team deliver. Who You Are Ph.D. or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 8 - 10+ years of experience in applied science, AI/ML development, or data science leadership roles. Proven success in both large enterprise environments and startup ecosystems. Extensive experience in working with large-scale data sets and deploying AI/ML solutions in production. Experience with Generative AI models, LLMs, and NLP technologies. Healthcare or mental health industry experience is preferred but not mandatory. Proficient in Python, TensorFlow, PyTorch, or similar frameworks. Strong background in data engineering, feature engineering, and ML model deployment. Demonstrated ability to lead, inspire, and scale diverse teams, with a strong focus on mentorship and talent development. Exceptional at translating complex technical concepts into clear, actionable insights for stakeholders across the organization. Our Benefits The anticipated salary range for this role is $200,000 - $250,000. Final compensation will be determined based on a variety of factors, including relevant experience, skills, education, and past performance. In addition to base salary, this position may also be eligible for a variable bonus and equity. As leaders in redesigning behavioral health, we walk the walk with our employees' benefits. We want the experience of working at SonderMind to accelerate people's careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their lives and work. Our benefits include: A commitment to fostering flexible hybrid work A generous PTO policy with a minimum of three weeks off per year Free therapy coverage benefits to ensure our employees have access to the care they need (must be enrolled in our medical plans to participate) Competitive Medical, Dental, and Vision coverage with plans to meet every need, including HSA ($1,100 company contribution) and FSA options Employer-paid short-term, long-term disability, life & AD&D to cover life's unexpected events. Not only that, we also cover the difference in salary for up to seven (7) weeks of short-term disability leave (after the required waiting period) should you need to use it. Eight weeks of paid Parental Leave (if the parent also qualifies for STD, this benefit is in addition, which allows between 8-16 weeks of paid leave) 401K retirement plan with 100% matching which immediately vests on up to 4% of base salary Travel to Denver 1x a year for annual Shift gathering Fourteen (14) company holidays Company Shutdown between Christmas and New Years Supplemental life insurance, pet insurance coverage, commuter benefits and more! Application Deadline This position will be an ongoing recruitment process and will be open until filled. Equal Opportunity SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.

We're defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, "impossible" isn't part of our vocabulary. You'll face some of the toughest but most rewarding challenges of your career. They're worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. The Crown Is Yours Our Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform. As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications. What you'll do as a Senior Data Scientist, Hockey Create statistical and machine learning models and integrate them into data science applications. Collect and engineer sports data assets to assist in model development. Implement the sports models and pricing engines in Python. Create automatic tests to ensure model and pricing engine accuracy. Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment. Test data flows and model integration in a larger business context. Coach and support more junior data scientists within the team. What you'll bring Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics. A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field. Proficiency in Python, with experience building statistical or machine learning models across various sports. Solid grasp of data science principles, statistical modeling techniques, and object-oriented programming concepts. Familiarity with tools and practices such as Kubernetes, Kafka, version control, and MLOps principles. Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 120,800.00 USD - 151,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates 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 pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.