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Realtor.com logo

Data Science Manager

Realtor.comAustin, TX
Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. About the Role Realtor.com is a two-sided platform helping match the consumers on our site and apps to our paying customers. The Customer Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize every aspect of our customer experience and to drive the company's commercial performance.We are looking for a hands-on, experienced manager to lead a team of data scientists and business analysts, acting as a trusted partner to our sales, marketing, and product stakeholders helping them answer the most critical business questions. Reporting to the Director of Commercial Data Science & Analytics, this role manages multiple areas of work and plays a critical part in driving key strategies and decisions on how to improve sales, customer acquisition, retention, and growth.This is a job for a full-stack data scientist with leadership skills and significant experience in stakeholder management and project management. You are expected to not just react to needs/asks but also actively identify opportunities to move the needle in meaningful ways, in collaboration with a diverse set of cross-functional partners across product, sales, B2B Marketing, engineering, finance, and others. What you'll do Lead and mentor a team of data scientists and business analysts, providing technical guidance and career coaching, establishing the frameworks for managing and executing work, ensuring quality of work and on-time completion, and fostering a culture of collaboration and innovation. Develop data and analytics strategies that are aligned with goals and priorities in the assigned business areas. Partner closely with stakeholders to understand/clarify needs and requirements, and work with team members to conduct analysis and/or develop data science solutions to address the needs. Work with large and complex data sets to solve a wide array of challenging problems using different data science methods including but not limited to regression, classification, time series, cluster analysis, and advanced machine learning algorithms. Create trusted analytic data layers that serve as the single version of truth and enable wide access to key data and metrics. Build and continuously improve reporting capabilities (e.g., Tableau dashboards) that provide self-serve access to valuable insights about the business and empower decision making. Carry out deep-dive analysis to explain observations and trends. Build data science models to surface actionable insights from large and complex data, predict trends or customer propensity, and optimize operations and resource allocations. Design and execute experimentation to test business hypotheses, prepare test readouts, and provide data-driven recommendations. Prepare deliverables and regularly present work to technical and non-technical audiences. You will convince and influence leaders using clear insights and recommendations, and build credibility through structure and clarity. Build strong partnerships with a wide range of cross-functional stakeholders and actively identify and unlock opportunities to improve business performance with data and analytics. Closely collaborate across the Customer Data Science & Analytics organization to ensure broad adoption of data science and analytics initiatives to drive value across the entire customer business. How We Work: We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. What you'll bring We are looking for a player-coach leader who's intellectually curious, passionate about solving complex business problems using data and analytics, and is able to move fast while maintaining focus on high-impact projects. Minimum Qualifications Bachelor's degree, ideally in a quantitative field (e.g., Statistics, Applied Mathematics, Operations Research,Engineering, Econometrics, Data Science, Computer Science). 6+ years of professional experience in data science and analytics, with 2+ years experience managing people. SQL fluency is a must, with 5+ years of experience. 3+ years of experience using a scripting language like Python or R. Significant experience with experimentation in a business context, including test design, execution, tracking and analysis of results, and readout/recommendations. Strong communication skills for stakeholder engagement and team leadership. Proven experience using data and analytics to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities. Experience in collaborating with cross-functional partners. Experience managing multiple priorities and adapting to changing business needs. Preferred Qualifications Master's or Ph.D. degree in a quantitative field or in Business Analytics with a strong quantitative background. Experience with cloud-based data environments such as Snowflake and AWS. Experience building and managing analytic data layers. Knowledge of ETL processes, data environments, data governance principles, etc. Knowledge of DBT, Airflow, and Snowflake preferred. Experience in leading reporting/data visualization capabilities (using Tableau or similar tools). Understanding of infrastructure, monitoring, and alerting necessary to support highly visible and business-critical reporting. Demonstrated ability to develop a roadmap for complex technical initiatives and effectively communicate progress against that roadmap. How we Reward you: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: Inclusive and Competitive medical, Rx, dental, and vision coverage Family forming benefits 13 Paid Holidays Flexible Time Off 8 hours of paid Volunteer Time off Immediate eligibility into Company 401(k) plan with 3.5% company match Tuition Reimbursement program for degreed and non-degreed programs 1:1 personalized Financial Planning Sessions Student Debt Retirement Savings Match program Free snacks and refreshments in each office location Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

Posted 1 week ago

Johnson & Johnson logo

Director, R&D Data Science & Digital Health - AI Knowledge & Literacy Lead

Johnson & JohnsonTitusville, NJ

$160,000 - $276,000 / year

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

Posted 2 weeks ago

Johnson & Johnson logo

Sr Director, Head Of Data Science & Digital Health - Therapeutics Development & Supply (Tds)

Johnson & JohnsonSpring House, PA
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: Horsham, Pennsylvania, United States of America, Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Sr Director, Head of Data Science & Digital Health- Therapeutics Development & Supply (TDS) This position can be located in Spring House, PA; Malvern, PA; Horsham, PA; or Beerse, Belgium. For candidate based in EMEA with interest in working in Beerse, please apply to requisition: R-047946 Travel: Up to ~25% domestic/international Reports to: VP, R&D Data Science- DPDS Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Role Summary Therapeutics Development & Supply (TDS) is the bridge between scientific discovery and clinical application, encompassing Chemistry, Manufacturing & Controls (CMC), Device Development, and Clinical Supply Chain. This organization ensures that every molecule, modality, and delivery system is robustly developed, scaled, and supplied under rigorous quality and regulatory standards. We are seeking a Global Head of Data Science & Digital Health- TDS to enable and embed AI/ML and advanced analytics into the core of drug development and supply. In close partnership with TDS teams and the broader DPDS organization, this leader will transform process design, scale-up, and clinical supply optimization into data-driven engines of speed, reliability, and compliance across all modalities-small molecules, biologics, and cell & gene therapies. By championing digital twins, predictive modeling, and GenAI-powered knowledge acceleration, this role will industrialize development processes and strengthen J&J's leadership in innovative medicine through deep collaboration with TDS functions, JJT, and enterprise data/AI partners. Key Responsibilities Strategy & Portfolio Leadership: Partner to define and execute the TDS Data Science strategy aligned to TDS/DPDS priorities; build a multi-year roadmap for data, analytics, AI/ML (incl. GenAI); manage portfolio prioritization, funding, and value realization. CMC, Product & Process Development: Enable scientists and engineers to build and expand scientific models by providing an ecosystem of tools, standards, and scalable capabilities. Support citizen data scientists and DOS teams within TDS through training and frameworks, ensure model governance and interoperability, and create pathways to scale models for broader utilization and reuse. Provide expert guidance and advanced data/modeling support where needed, while fostering collaboration across TDS modalities, DPDS, and the broader R&D organization. Device/Combination Product & Platform Engineering: Apply reliability modeling, image/signal analytics, and simulation to device/combination product performance and manufacturability. Clinical Supply Chain Analytics: Build forecasting, simulation and optimization engines for clinical supply, IRT signal integration, and risk-based inventory strategies; develop scenario planning/digital twin for clinical supply networks. Platforms, Data & MLOps: Co-own with DOS and JJT the data and ML platform architecture, MLOps, model monitoring, and governance for GxP contexts. GenAI & Knowledge Acceleration: Lead targeted use of GenAI/LLMs for technical documentation, regulatory authoring aids, and knowledge acceleration. External Innovation & Partnerships: Scout and partner with academia/startups/CROs on cutting-edge discovery, development and manufacturing analytics. People & Community Leadership: Build and lead a global team of data scientists, AI/ML engineers and applied statisticians; upskill TDS Scientists and Engineers with Data and AI/ML fluency. Quality, Safety & Compliance: Ensure data integrity, model validation, computerized systems compliance, and transparent model interpretability in regulated environments. Qualifications Required: PhD (or equivalent experience) in Chemical/Biochemical Engineering, Bioinformatics Pharmaceutical Sciences, AI/ML, Applied Math/Statistics or related field. 15+ years applied data science/AI leadership in biopharma development/CMC and/or clinical supply, including experience leading multi-disciplinary teams in a matrix setting. Demonstrated outcomes in process and analytical development or clinical supply analytics. Fluency with modern ML techniques, and MLOps on cloud platforms; experience integrating with LIMS/ELN/MES. Proven ability to synchronize tech and data science roadmaps, and drive portfolio value realization. Excellent communication and matrix leadership across scientific, technical, and business stakeholders in a global organization. Preferred: Experience across multi-modality portfolios (small/large molecules, cell & gene). Familiarity with GenAI/LLMs in R&D settings, agents, and AI deployments in a regulatory setting. Prior collaboration with External Innovation partners in development/manufacturing technologies. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Business Alignment, Compliance Management, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking

Posted 3 weeks ago

Diamondback Energy logo

Data Science Geologist

Diamondback EnergyMidland, TX
CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only. A Data Science Geologist bridges the gap between traditional earth sciences and advanced computational analytics. This role focuses on automating geological workflows and building predictive models to enhance resource discovery and extraction. Key Responsibilities Predictive Modeling: Develop machine learning or geospatial models to detect geological features and predict reservoir quality. Data Integration: Clean and integrate diverse datasets, including seismic, well-log, geochemical, rock-based, and petrophysical analyses. Spatial Analysis: Use GIS and subsurface mapping tools to perform complex spatial reasoning and create interactive geological maps. Automated Workflows: Build and maintain data pipelines to automate routine geological reporting and analysis. Stakeholder Communication: Translate complex data findings into actionable insights for both technical teams and business decision-makers. Qualifications A Bachelor's degree in Geoscience or related fields. Data Science also welcome. Minimum of 5 years data geoscience experience. Programming: Proficiency in Python (Pandas, Scikit-learn, PyTorch) or R for statistical analysis. Database Management: Expertise in SQL and industry-standard geological databases. Geospatial Tools: Expertise in GIS software such as ArcGIS, QGIS, or 3D modeling software like Petrel. Machine Learning: Strong grasp of clustering, regression, and anomaly detection algorithms applied to subsurface data. Data Visualization: Skill in using tools like Power BI, Tableau, or Python libraries (Matplotlib, Seaborn) to represent spatial data. Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more about E-Verify.

Posted 4 days ago

T logo

Internships In Data Science, Math, Statistics Or Operations Research

The MITRE CorporationShrewsbury, NJ

$46,500 - $58,000 / year

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

Posted 30+ days ago

UCB logo

Senior Manager, Go-To-Market Data Science

UCBAtlanta, GA

$124,000 - $162,800 / year

Make your mark for patients To strengthen our Global Advanced Analytics team, we are looking for an adaptable, collaborative individual with an intrapreneurial mindset for our Senior Manager, Go-to-Market Data Science opening. The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business. This hybrid role is based in our Atlanta, GA, Raleigh, NC or Boston, MA offices, requiring 40% onsite presence. About the role You will be responsible for making exceptional business impact with the use of secondary data and insights development through advanced analytics methods, enabling an increased use of data and, where applicable, reducing the necessity for building primary data. You will also be responsible for managing and implementing advanced analytics/AI projects to ensure successful delivery. You will oversee the ongoing operations of advanced analytics solutions to ensure that models continue to work and scale them up with additional demand and applications. You will serve as the subject matter expert for Advanced Analytics/AI capabilities in support of business needs. Who you'll work with You will work with the Global Advanced Analytics Team Leads, US and Global Go-to-Market Teams, Integrated Insights Hub Leads, as well as business stakeholders in the Patient Value Units. Externally, you will work with payors and analytics vendors that support data science projects. The mission of this role is to deliver data-driven actionable insights from advanced analytics that create high impact patient value. What you'll do Analytics Leadership: Provide clear expertise for opportunities to leverage advanced analytics, especially where they are advantageous to reducing the need for primary data or have high marginal impact Deliver the most impactful data and analytics projects that: address the most compelling business questions, and/or identify new opportunities for patients and UCB through effective visual displays of quantitative and qualitative information Partnership and Collaboration: Be the key strategic partner for the Go-to-Market or functional stakeholders and co-create plans and priorities for data and advanced analytics with them together with the Go-To-Market Hub Leads. Ensure tight relationships and collaboration with IT, Data Office, and other Analytics teams using relevant data sources Team Leadership. Serve as a mentor and guide to more junior data scientists and translators in demonstrating the application of cutting-edge analytics, clear communication and presentation of insights and practical/pragmatic implementation of key recommendations Drive the execution of regional and local data-driven insights research and data analytics plans and priorities Foster a strong data science community with significant business acumen and communication skills across Hubs and EngineSupervise the conduct of advanced analytics studies in a collaborative manner ensuring that the study methodology is appropriate to deliver reliable results. Improve the team's partnership with, and impact on, key internal (UCB) and external stakeholders within the specific area of focus by: developing and executing a communication and collaboration plan with key UCB stakeholders increasing personal and the Advanced Analytics team's knowledge of the business by ensuring that she/he and each team member has direct interaction with patients and/or other external stakeholders Attract, retain, motivate, and develop key talent for the Advanced Analytics team; coach and develop team members Drive deep partnership with the Hub insights team and other "fellow" Engines and insights generating functions (e.g. regional analytics teams) allowing for a joined delivery of cross-functional, deep impactful insights Be a champion for a data-driven, decision-making culture Interested? For this role we're looking for the following education, experience and skills Minimum Experience/Skills Required: Bachelor's degree in quantitative area Minimum of 6-8+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc, and data transformation such as data cleansing and integration, fuzzy matching, etc. Minimum of 6-8+ years of experience developing program/project plans and leading programs/projects from initiation to implementation Minimum of 6-8+ years of experience with programming and application development using Python or R Preferred Experience/Skills: Master/Doctor's degree in quantitative area Knowledge of pharmaceutical industry, ideally specialty pharma and biologic treatments Deep expertise in leveraging data science methodologies within the Go-to-Market sphere of the pharmaceutical industry. The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business Expertise in analyzing a range of large, secondary transactional databases, unstructured data or other computationally difficult challenges Mastery of project management skills You are a structured problem solver Possess an 80/20 mindset to push for fast model iterations Ability to interpret model results and identify potential model errors (e.g., overfitting, model bias, correlation vs causation) Global role, so willingness and flexibility to work across geographies / time zones (sometimes outside of core hours) This positions reasonably anticipated base salary range is $124,000- $162,800 per year. The actual salary offered will take into account internal equity and may also vary depending on the candidate's geographic region, job-related knowledge, skills, and experience, among other factors. Are you ready to 'go beyond' to create value and make your mark for patients? If this sounds like you, then we would love to hear from you! About us UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe, inspired by patients and driven by science. Why work with us? At UCB, we don't just complete tasks, we create value. We aren't afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We 'go beyond' to create value for our patients, and always with a human focus, whether that's on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential. At UCB, we've embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless explicitly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office. UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.

Posted 2 weeks ago

US Conec logo

Intern - Metrology Data Science - Summer 2026

US ConecHickory, NC
US Conec, Ltd. Engineering Innovation. Precision Plastics. Powering AI. US Conec, Ltd. is a trusted, global company that prides itself on engineering excellence-creating innovative connectivity solutions that support today's most important technologies. We foster a friendly, inclusive culture that values teamwork, creativity, and mutual respect. At US Conec, you'll find real opportunities to grow and make a meaningful impact in a company that genuinely cares about its people and its customers. With competitive compensation, excellent benefits, and a supportive environment, this is a place where you can build your future-whether your interests lie in manufacturing, engineering, operations, or beyond. Metrology Data Science Intern - Hickory, North Carolina Summer 2026 About US Conec Ltd At US Conec, we design and manufacture precision fiber-optic interconnects that power the world's fastest data centers, telecom networks, and supercomputers. In other words? We're the backbone powering AI. Role Overview We're looking for a Metrology Data Science Intern who's excited to roll up their sleeves and turn raw measurement data into powerful insights. You'll team up with our metrology engineers, build tools that save time, and help everyone make smarter, data-driven decisions. What You'll Do Dream up and build data-analysis scripts that automate repetitive tasks. Create data pipelines that pull measurement results straight from the lab into our central database. Work with engineers to write clear, step-by-step data workflows and instructions. Prototype handy apps or dashboards that lighten the load for operators. Possible Projects Auto-generate polished, unified measurement reports so everyone's on the same page. Set up real-time data ingestion and validation for our metrology instruments. Design interactive dashboards for quick QA checks and trend spotting. Explore machine-learning ideas for sniffing out anomalies in our data. What We're Looking For A solid grasp of statistics and data-science fundamentals. Hands-on experience with Python (Pandas, NumPy) or MATLAB. Familiarity with data-visualization libraries or tools (Matplotlib, Plotly, Power BI). Comfort writing basic SQL or working with databases. Great communicator who loves documenting processes and collaborating. Join US Conec today and be part of a team that values each other, promotes innovation and growth, and strives to exceed customer expectations in everything we do. US Conec is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, disability, protected veteran status, or any other legally protected characteristics

Posted 30+ days ago

T logo

Internships In Data Science, Math, Statistics Or Operations Research

The MITRE CorporationQuantico, VA

$46,500 - $58,000 / year

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

Posted 30+ days ago

Johnson & Johnson logo

Senior Director, R&D Data Science & Digital Health, Real-World Evidence (Rwe), Across Therapeutic Areas

Johnson & JohnsonRaritan, NJ

$173,000 - $299,000 / year

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas The primary location for this position is flexible- Flexible- Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing innovative evidence solutions and critical insights through diverse data sources, including RWD, trial data and emerging innovative data sources, to support clinical programs and regulatory decision-making. We are seeking a visionary Senior Director to lead Real-World Evidence (RWE) strategy and execution across therapeutic areas (xTA). This role will be pivotal in shaping the future of RWE at the organization - driving internal/external collaborations, advancing regulatory-grade evidence generation, and elevating our scientific leadership both internally and externally. The successful candidate will partner closely with senior leaders across R&D and commercial to build an integrated, agile, and forward-thinking RWE ecosystem. This includes leading strategic initiatives, influencing regulatory policy, and representing organization as a thought leader in the global RWE community. Key Responsibilities Strategic Leadership & Ecosystem Building Define and execute the RWE initiatives across therapeutic areas, ensuring alignment with long-term organizational goals. Lead cross-functional RWE committees and foster high-impact partnerships with internal and external stakeholders. Shape and elevate the enterprise-wide RWE ecosystem through innovation, governance, and capability building. Regulatory Policy & Scientific Influence Serve as a strategic advisor on regulatory-grade evidence generation and policy shaping. Lead preparation and presentation of scientific data packages for regulatory submissions and agency interactions. Represent J&J in external forums to influence RWE standards and regulatory expectations. Scientific Leadership & Methodological Excellence Chair the Methodology Review Board (MRB) and oversee a portfolio of high-impact RWE projects. Establish best practices for novel study designs and implementation. Promote continuous learning and innovation in emerging RWE methodologies and technologies. Develop frameworks and tools to scale evidence generation and accelerate delivery. Champion a culture of scientific rigor, collaboration, and execution excellence. Required qualifications: Ph.D. or Master's in epidemiology, biostatistics, outcomes research, health policy, or related field. 10+ years of relevant experience in biopharma, RWE consulting, or healthcare industries. 7+ years of experience as a people manager. Proven expertise in data extraction, cleaning, and analysis; strong grasp of advanced statistical methods. Experience with diverse data sources (EHR, claims, registries, trial data, digital health). Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders. Proven leadership and influencing capabilities, with a track record of inspiring teams and driving cross-functional alignment. Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges. Proficiency in R, Python, or SQL. Preferred qualifications: Expertise in regulatory-grade evidence generation and regulatory engagement. Strong leadership in cross-functional initiatives and ability to influence without authority. Subject matter expertise in key therapeutic areas including Oncology, Immunology, Neuroscience. Experience in matrixed organizations and global stakeholder engagement. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: The anticipated base pay range for this position is : Additional Description for Pay Transparency:

Posted 30+ days ago

Xometry logo

Data Science Intern

XometryWaltham, MA

$27+ / hour

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Are you a driven graduate student eager to make a real impact at a cutting-edge technology company? Xometry's Summer Internship Program offers a unique opportunity to gain hands-on experience and develop advanced skills in the rapidly evolving world of digital manufacturing. We're looking for a passionate and talented Data Science Intern (Master's/PhD) to join our team! What You'll Do: As a Data Science Intern at Xometry, you'll contribute to projects that leverage advanced analytical techniques to optimize our manufacturing processes, improve customer experience, and drive business decisions. You can expect to work in an environment that encourages innovation and provides hands-on experience in applying cutting-edge data science techniques to real-world challenges.You will: Develop and implement advanced statistical models and machine learning algorithms for tasks such as demand forecasting, predictive maintenance, or supply chain optimization. Conduct in-depth data analysis to identify trends, patterns, and insights from large datasets related to manufacturing operations, customer behavior, and market dynamics. Design and execute experiments to evaluate the effectiveness of different data-driven strategies. Collaborate with engineers, product managers, and business stakeholders to understand business needs and translate them into impactful data science solutions. Contribute to the development of data pipelines and infrastructure for data science applications. Communicate complex technical findings clearly and effectively to both technical and non-technical audiences. Potentially contribute to research and publications related to your work. What We're Looking For: Academic Excellence: Currently enrolled in a Master's or PhD program at an accredited college or university, graduating in December 2026 or May 2027, with a strong academic record. The ideal candidate will be pursuing a Master's or PhD degree in: Data Science, Statistics, Machine Learning, or a related quantitative field. Technical Skills: Strong foundation in statistical modeling, machine learning, and data mining techniques. Proficiency in programming languages (e.g., Python, R) and data visualization tools. Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable. Research Experience (PhD candidates): Experience conducting independent research and contributing to publications is a plus. Strong Work Ethic: Ability to work full-time (40 hours/week) during the internship period (June 8 - August 14, 2026). Excellent Communication Skills: Strong verbal and written communication skills, including the ability to explain complex technical concepts clearly and concisely to both technical and non-technical audiences. Problem-Solving Skills: A strong analytical mindset and a passion for problem-solving. Legal Authorization: Ability to provide proof of legal right to work in the United States. Location Requirement: Ability to commute to our Waltham, MA or North Bethesda, MD office to work onsite for at least 3 days a week. Provide Unofficial Transcript The estimated base pay rate for new hires into this role is $27.00 per hour depending on factors such as job-related skills, relevant experience, and location. This is a temporary position. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Posted 30+ days ago

Brandeis University logo

Temporary Online Course Developer: Foundations Of Applied Data Science And Decision Analytics

Brandeis UniversityWaltham, MA

$3,000+ / project

Position: Online Course Developer: Foundations of Applied Data Science and Decision Analytics Location: Remote (U.S.-based only) Division: Rabb School of Continuing Studies, Brandeis University Compensation: $3,000 (Approx. 65 hours over 12 weeks) Brandeis University's Rabb School of Continuing Studies is seeking a skilled online course developer to design and build a new three credit asynchronous online course titled: Foundations of Applied Data Science and Decision Analytics. This role is for an experienced academic and curriculum strategist to serve as an Online Course Developer within Brandeis Online's graduate program. The developer will design and build asynchronous, instructor-facilitated online courses aligned with institutional learning outcomes, accreditation standards, and workforce relevance. This course will introduce the data lifecycle, reproducible workflows, and ethical communication of analytical insights. Students learn to structure analytic questions, organize projects in collaborative repositories, and communicate uncertainty effectively. Responsibilities: The development of an online asynchronous course entails the creation and/or selection of elements as outlined in the Brandeis Online Course Standards. Required components include a Brandeis-compliant syllabus, instructor-created materials informed by current industry knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes. The Developer is responsible for the substantive content and pedagogical strategies of the course and agrees to uphold Brandeis's academic standards and online course development guidelines. Throughout the design process, the Developer will collaborate with Brandeis Online staff, adhere to technical requirements for LMS integration, and meet project milestones. Course drafts will be submitted at designated intervals for feedback, and final approval will be contingent upon a comprehensive design review by a Learning Designer and Brandeis Online. Qualifications: Advanced degree (Master's or Ph.D) in Computer Science, Analytics, Strategic Analytics, Strategic Leadership, Information Design, Data Science, Software Engineering, or related field. Experience using BI and visual analytics tools in industry or consulting contexts. Experience in data science and decision analytics, including data lifecycle. Demonstrate ability to frame data problems and decision-focused questions, and to implement collaborative, version-controlled analysis. Experience in business intelligence, data visualization, and analytics storytelling, with the ability to translate insights into strategic actions. At least 1 year of teaching or training experience (preferably online/asynchronous). Minimum 1 year experience developing asynchronous online courses for adult learners in higher education. Proficiency with LMS platforms and digital authoring tools. Familiarity with analytical tools, collaborative platforms, and interdisciplinary teamwork. Strong communication, organization, and independent work skills. Familiarity with curriculum design, accreditation standards, and graduate-level rigor. Ability to translate interdisciplinary content into engaging, accessible learning pathways. Strong writing and editing skills to produce cohesive, learner-centered experiences. Preferred Experience: Experience teaching or developing graduate-level online courses. Knowledge of global learner personas and culturally responsive pedagogy. Familiarity with Moodle LMS and digital authoring tools (e.g., H5P). Familiarity with SQL, Python, and/or R. Familiarity with experiential learning models and employer-aligned curriculum. Additional Details: Fully remote (U.S.-based applicants only; no visa sponsorship). 12-week development timeline (~65 total hours). Compensation: $3000 Pay Range Disclosure The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements. Equal Opportunity Statement Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

Posted 4 days ago

MOLOCO logo

Data Science Manager, Growth Analytics (Gaming)

MOLOCOMenlo Park, CA

$204,000 - $255,000 / year

About Moloco: Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! The Impact You'll Be Contributing to Moloco: Growth Data Science is a global team of data scientists who work with internal and external stakeholders to improve the effectiveness of Moloco Ads and help advertisers achieve their business goals. As a Growth Data Science Manager you will lead a team of data scientists who support our North American gaming and real money gambling verticals, partnering with cross functional leaders to unlock product performance, improve our activation strategies and grow the Moloco Ads business. You'll be comfortable operating at a strategic level identifying opportunities to drive greater business impact, whilst also being able to work "hands on" and take the lead on technical projects. Growth Data Science is a critical and highly cross-functional team with diverse responsibilities; Advertiser engagement; engaging with advertisers to understand their business objectives, measurement strategies and identifying opportunities for Moloco to drive business value Measurement consultation; consulting with advertisers on measurement methodologies, helping them to understand nuances between different measurement solutions (MMP attribution, incrementality, MMM) and supporting the activation of Moloco incrementality solutions Insights generation; data collection, analysis and effective communication of learnings and recommendations to multiple levels of stakeholder up to C-Level Campaign optimization: partnering with internal and external teams on analysis and testing to identify opportunities to improve Moloco campaign effectiveness Product development; collaborating with key stakeholders across Moloco product and engineering teams to help improve our products and services based on market insights and advertiser feedback Product activation; collaborating with Moloco business teams to develop activation strategies to unlock product performance and drive adoption across advertiser groups Minimum Requirements: Education: Bachelor's degree or equivalent practical experience. Management Experience: 1+ years of experience managing individual contributors Technical Experience: 7+ years of experience working with statistical packages in an analytical role (e.g., R, Python, SAS, Stata, MATLAB, SQL) Statistics: Experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis. Communication: Excellent verbal and written communication skills. Ability to distill complex concepts and information into simple recommendations, presenting to stakeholders at various levels of seniority and technical expertise. Partnerships: Ability to build positive relationships within the data science & analytics community, as well as with our business stakeholders and advertisers. Experience partnering with various stakeholders to develop strategies for business growth. Ownership: Proven ability to own projects end-to-end and operate in ambiguous problem spaces, able to develop creative solutions to complex problems. Leadership: Demonstrated leadership and self-direction. Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs. Our Compensation And Benefits (for United States Residents Only) In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package. Base Pay Range: $204,000—$255,000 USD Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. We offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. Moloco Values: Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible. Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom Equal Opportunity: Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy. Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.

Posted 30+ days ago

Walmart logo

(USA) Senior Manager, Data Science

WalmartBentonville, Arkansas

$110,000 - $220,000 / year

Position Summary... You will be a visionary leader and principal architect responsible for evolving Walmart's approach to marketing effectiveness. This role focuses on developing a state-of-the-art, probabilistic Media Mix Model (MMM) powered by Bayesian statistics and streamlined through innovative Agentic AI workflows. What you'll do... Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors, implementing sophisticated MCMC sampling techniques, and developing robust methods for handling time-varying effects, diminishing returns, and competitive factors. Architect Agentic AI Workflows: Develop and deploy multi-agent systems (Agentic AI) to automate the entire measurement lifecycle. This involves automating data ingestion and cleaning, model version control, adaptive prior selection, and dynamic insight generation from the MMM results. Drive Probabilistic Forecasting & Simulation: Utilize the full posterior distribution from the Bayesian models to generate probabilistic forecasts and comprehensive scenario simulations, enabling Marketing and Finance teams to make data-driven, risk-aware investment decisions. Integrate Causal Insights: Integrate MMM output with other causal inference models (e.g., A/B tests, Geospatial Experiments, uplift models) to create a unified, holistic view of marketing performance and decompose brand vs. sales effects. Scale and Operationalize: Partner closely with Engineering teams to transition models from research prototypes to highly reliable, performant, and automatically updating production systems that serve real-time investment recommendations to marketing platforms. Influence Strategy: Communicate complex probabilistic and causal insights clearly to C-suite and Senior Leadership, translating modeling results into clear, actionable budget allocation and tactical campaign optimization strategies. What You Will Bring: A rare blend of advanced statistical expertise, full-stack machine learning engineering, and strategic leadership. Bayesian & MCMC Mastery: 2+ years focused on implementing and deploying complex casual / statistical models for business impact. Expert-level experience with Markov Chain Monte Carlo (MCMC) methods and associated libraries (e.g., PyMC ). Agentic AI & Advanced ML: Proven experience in designing and deploying Agentic AI workflows or Generative AI systems (e.g., LLMs, multi-agent frameworks) to automate and optimize data science pipelines. Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks, PyTorch/TensorFlow) and Reinforcement Learning concepts. Education: PhD or Masters in Computer Science, Statistics, Mathematics, or a highly quantitative field with 5+ years of relevant industry experience.At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices .Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart . The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include : - Stock ㅤ ㅤ ㅤ ㅤ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 702 Sw 8Th St, Bentonville, AR 72716, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Posted 1 day ago

A logo

Data Science Intern

Arrive Logistics Chicago, IL
Who We Are Arrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today! Who We Want We are seeking a motivated and enthusiastic Data Science Intern to join our team. The Data Science intern collaborates with team members to build models, conduct tests, analyze data, and productionalize our ideas. The ideal candidate is eager to learn, has a strong analytical mindset, and is proficient in programming and statistical analysis. What You’ll Do Develop an understanding of the logistics industry as well as Arrive’s core business functions and processes Work closely with data scientists to develop models, analytic solutions, and statistical analysis Work with data scientists and engineering to perform model testing and then put models and solutions into production Collaborate with data scientists to document models, monitor performance, and perform ongoing support for existing models Prepare, clean, and wrangle large data sets Qualifications Masters or Ph.D degree in a relevant field (Data Science, Math, Statistics, Economics, Computer Science, Engineering) Solid knowledge of statistics, mathematics, and computer science Experience with Python, R, or other statistical programming language Experience evaluating, fitting, and interpreting results of common data science models Focus on impact, agility, learning, openness, togetherness, independence, humility, and responsibility Strong written & oral communication skills and an ability to present effectively to stakeholders of all levels Interested in staying abreast of emerging data science research and trends and continuously upskilling your capabilities as new methods and techniques are developed Experience with an Agile development methodology is a plus Experience formulating and solving optimization problems is a plus Experience working in cloud environments is a plus Experience in the Logistics or Transportation Industry is a major plus. The Perks of Working With Us Build relationships and take part in learning opportunities through our Employee Resource Groups. Enjoy office wide engagement activities, team events, happy hours and more! Leave the suit and tie at home; our dress code is casual. Work in the heart of downtown Chicago, IL! Sweat it out at the LifeStart gym in our office building that includes brand new Peloton bikes, top-of-the-line equipment and personal training options. Maximize your wellness with free counseling sessions through our Employee Assistance Program Get paid to work with your friends through our Referral Program! Your Arrive Experience When we say “award-winning culture,” we mean it. We’ve been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we’re not in it for the trophies. We’re committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive’s walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos. Notice: To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact talentacquisition@arrivelogistics.com for verification.

Posted 1 week ago

Bandwidth logo

Data Science Intern - Summer 2026

BandwidthRaleigh, NC
Who We Are: Bandwidth , a prior “Best of EC” award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders! At Bandwidth, your music matters when you are part of the BAND. We celebrate differences and encourage BANDmates to be their authentic selves. #jointheband What We Are Looking For: As a Data Science Intern during Summer 2026, you’ll be at the forefront of empowering Bandwidth to gain valuable insights from our large datasets. You’ll work with leadership, product owners and team members to understand complex business needs, and then design, develop and implement data-driven solutions. You have an eye for detail, but can also think abstractly, analytically and creatively about big challenges. You can create novel solutions that will support several teams like NOC, TAC, Fraud Operations and Bandwidth as a whole by making sense of our data, and taking action. What You'll Do: Use analytical tools and statistical techniques to build ways for identifying, analyzing, and troubleshooting anomalies, trends and patterns found in network data Use data analysis techniques and methods to get accurate and actionable insights across multiple datasets Work with development teams to request improvements for statistical techniques and reporting methods Work with teams to optimize data-driven workflows; and provide actionable data solutions, data visualization, and analysis results What You Need: Currently pursuing a Bachelor’s degree in math, statistics, computer sciences, or related fields; or Bachelor’s degree in unrelated field plus 2 years work experience in statistical analysis Experience with development on projects heavily involved with large data sets and statistical methods, preferably in Python Familiarity and knowledge with the concepts of machine learning, including data mining and unsupervised learning Strong analytical and critical thinking skills, with high attention to detail, and the ability to collect, organize, analyze, and disseminate significant amounts of information Highly self-motivated, with the ability to work independently and take ownership of issues, and willingness to overcome challenging problems while identifying opportunities for improvement Strong communication skills and the ability to simplify and explain information and findings to leadership, team members, and other internal stakeholders The Whole Person Promise: At Bandwidth, we’re pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well… Are you ready for an awesome internship experience? At Bandwidth we’re all about making your time with us fun and fulfilling! Take a break with our 90-minute workout lunch to energize your day, or roll up your sleeves for some cool volunteer activities that give back to our community. You'll also get to meet and connect with our leaders who can share their wisdom and advice. And let’s not forget the fun social activities to bond with your fellow interns! Join us for a summer full of learning, laughter, and new experiences—let’s make some great memories together! Are you excited about the position and its responsibilities, but not sure if you’re 100% qualified? Do you feel you can work to help us crush the mission? If you answered ‘yes’ to both of these questions, we encourage you to apply! You won’t want to miss the opportunity to be a part of the BAND. Applicant Privacy Notice

Posted 30+ days ago

Diamondback Energy logo

Data Science Geologist

Diamondback EnergyMidland, Texas
CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only. A Data Science Geologist bridges the gap between traditional earth sciences and advanced computational analytics. This role focuses on automating geological workflows and building predictive models to enhance resource discovery and extraction. Key Responsibilities Predictive Modeling: Develop machine learning or geospatial models to detect geological features and predict reservoir quality. Data Integration: Clean and integrate diverse datasets, including seismic, well-log, geochemical, rock-based, and petrophysical analyses. Spatial Analysis: Use GIS and subsurface mapping tools to perform complex spatial reasoning and create interactive geological maps. Automated Workflows: Build and maintain data pipelines to automate routine geological reporting and analysis. Stakeholder Communication: Translate complex data findings into actionable insights for both technical teams and business decision-makers. Qualifications A bachelor’s degree in Geoscience or a related field is required. A background in petroleum engineering is preferred. Minimum of 5 years data geoscience experience. Programming: Proficiency in Python (Pandas, Scikit-learn, PyTorch) or R for statistical analysis. Database Management: Expertise in SQL and industry-standard geological databases. Geospatial Tools: Expertise in GIS software such as ArcGIS, QGIS, or 3D modeling software like Petrel. Machine Learning: Strong grasp of clustering, regression, and anomaly detection algorithms applied to subsurface data. Data Visualization: Skill in using tools like Power BI, Tableau , or Python libraries (Matplotlib, Seaborn) to represent spatial data. Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more about E-Verify .

Posted today

Twitch logo

Graduate Data Science Intern

TwitchSan Francisco, CA
About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and Twitter , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role The Central Analytics team drives evidence-based decision-making throughout Twitch. As researchers and thought leaders, we leverage foundational data, sophisticated ML models and cornerstone analyses to inform product strategy, guide business decisions, and unlock new capabilities. Our interdisciplinary team brings together experts in data science, machine learning, and user research to continuously innovate and improve the world's leading live-streaming platform. Our team is seeking an exceptional intern with demonstrated proficiency in applying machine learning and statistical methods to extract valuable insights from complex data. We value creative problem-solvers who possess a strong analytical foundation and the communication skills necessary to thrive in a collaborative environment. Our problems cover many different aspects of user behavior on Twitch, from predictive modeling of onsite viewer engagement and commerce activity, to advanced fine-grained cohort analyses of user behavior and their evolution on Twitch. The ideal candidate possesses strong quantitative reasoning skills to design and implement data science workflows, identify key patterns within large datasets, apply appropriate statistical methods, and translate those findings into clear, actionable recommendations. You Will: Drive Twitch’s understanding of users and their activity through ownership of research projects from data collection to model development, estimation, and validation Identify and pursue projects with significant business impact, and make compelling cases for prioritization and resource allocation. Collaborate with specialists in data science, analytics, engineering, and economics disciplines to efficiently develop reliable and reproducible analyses at scale. Deliver well-documented datasets, tools, and reports to key technical and business stakeholders. You Have: MS in data science, machine learning, computer science, statistics, or highly related field OR 2+ years experience on a data, research, or applied science team OR equivalent applied research experience Adherence to good coding standards and working knowledge of SoTA machine learning techniques, including forecasting, time-series modeling, natural language processing (NLP) and unsupervised learning. Fluency in data-science tools: Python, R, SQL, and associated AI/ML libraries. Maintain proficiency with version control systems to ensure collaborative development and reproducibility Excellent written and verbal communication skills on quantitative topics Keen judgment for balancing research depth and pacing Bonus Points Familiarity with Twitch/streaming Familiarity with generative AI (GenAI) tools Perks Medical, Dental, Vision & Disability Insurance 401(k) Maternity & Parental Leave Flexible PTO Amazon Employee Discount Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Job ID: TW8992 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $46.88/hr in our lowest geographic market up to $88.94/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Twitch values your privacy. Please consult our Candidate Privacy Notice , for information about how we collect, use, and disclose personal information of our candidates.

Posted 30+ days ago

Gusto logo

Senior Manager, Data Science - Payments & Treasury

GustoSan Francisco, CA

$184,000 - $227,000 / year

About the Role: Gusto's Data Science team leverages our rich data to shape product strategy and inform critical business decisions. We operate end-to-end - from analysis and experimentation to enabling production systems that support both internal teams and our customers. For this role, we're seeking a Senior Manager, Data Science to provide technical and strategic leadership across the payments and treasury domains. You will lead teams responsible for building scalable, data-driven capabilities that support money movement, liquidity management, and payment reliability, while applying machine learning and analytics where they meaningfully add value. Experience with risk is a plus, but the primary focus of this role is payments and treasury. You'll partner closely with established leaders across Engineering, Product, Design, Operations, and Finance/Treasury to drive cross-functional alignment and execution. In this role, you'll own initiatives that span the breadth of the payments and treasury stack, setting direction, guiding teams, and ensuring we deliver a secure, reliable, and trusted financial platform that safeguards customer funds and supports Gusto's growing ecosystem. Here's what you'll do day-to-day: Lead the strategy and application of machine learning and advanced analytics across payments and treasury, including identifying opportunities, framing problems with stakeholders, defining success criteria, and guiding teams to deliver scalable, data-driven solutions; experience with risk use cases is a plus. Own end-to-end delivery and cross-functional execution, partnering closely with Engineering, Product, and Design to solve complex, ambiguous problems and ensure solutions are production-ready, well-instrumented, and operationally sound. Set technical standards and scalable frameworks that elevate the team's core analytical and modeling capabilities, including reusable tooling and thoughtful integration of AI/LLMs where they meaningfully improve data processing, analysis, or decision-making. Communicate insights, tradeoffs, and recommendations clearly to stakeholders across the company, influencing decisions through strong narratives grounded in data and business context. Here's what we're looking for: 10+ years of experience in data science, analytics, or a related quantitative field, including 4+ years leading and scaling data science teams, with accountability for hiring, developing senior ICs, and owning outcomes across one or more business-critical domains. Domain analytics and experimentation leadership - deep experience driving insights and decisions across payments, treasury, and risk domains (e.g., loss, fraud, disputes, authorization rates, funds flow, liquidity, and operational risk), with strong command of experimentation, causal analysis, and tradeoff evaluation in regulated, high-impact environments. Technical and analytical leadership - strong grounding in statistics and applied modeling, with the ability to set technical standards, review complex analyses, and coach senior data scientists, maintaining a high bar for analytical rigor and quality. Strategic business impact - demonstrated ability to translate ambiguous problems into data strategy, influence multi-quarter product and platform roadmaps, and connect insights to measurable business outcomes. Executive communication and cross-functional influence - proven experience partnering with VP-level and senior leaders across Product, Engineering, Ops and Finance teams, translating complex data into clear tradeoffs and actionable recommendations that drive decisions. If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team. Our cash compensation amount for this role is targeted at $184,000 - $227,000 /yr in Denver & most remote locations, and $217,000 - $267,000 /yr for San Francisco & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above. We have offices in Denver, San Francisco, and New York and have remote team members across the US and Canada. We are actively hiring for the following Centers of Gravity: Toronto, Canada, Atlanta, GA, Austin, TX, Chicago, IL, Denver, CO, Los Angeles, CA, Miami, FL, and Seattle, WA. Our open roles will specify on the careers page and in the job description where the position is eligible for work.

Posted 3 weeks ago

Johnson & Johnson logo

Director, Data Science Strategy & Operations

Johnson & JohnsonRaritan, NJ

$160,000 - $276,000 / year

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: Project/Program Management Group Job Sub Function: R&D Project Management Job Category: Professional All Job Posting Locations: New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Johnson & Johnson Innovative Medicine: Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Our R&D spans oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. We are committed to helping people live longer, healthier lives through first-in-class medicines and transformative innovation. Learn more at Janssen Innovative Medicine. Position Summary: The Director, Data Science Strategy & Operations will play a pivotal role in driving the execution of critical initiatives for the Data Science & Digital Health (DSDH) organization and the integration of all IT and Data investments for R&D governance. This leader will oversee portfolio and project management activities (leveraging Wrike), lead a matrixed team of project managers, and ensure strategic alignment and operational excellence across the Data Science portfolio. Key Responsibilities: Strategic Leadership & Execution Support the Chief Data Science Officer and Senior Director in executing near- and long-term data science strategies. Design and implement appropriate governance for the Integrated IT roadmap for R&D Partner across the DSDH Strategy and Operations team to ensure flawless execution of Portfolio and Project Management tasks, initiatives and strategies Lead cross-functional teams to deliver on key initiatives, ensuring collaboration and alignment with internal and external partners. Provide strategic input and operational expertise, including use business case quantification and value articulation. Portfolio & Project Management Oversee the Data Science project portfolio, ensuring prioritization, resource allocation, and timely delivery of projects. Implement and optimize project management processes and best practices, including using Wrike. Develop and maintain dashboards and reporting tools to track project status, risks, and outcomes. Team Leadership Lead, mentor, and develop a team of matrixed project managers, fostering a high-performance culture. Drive change management and continuous improvement initiatives within the team and across the organization. Financial & Business Planning Partner with Finance and HR to manage budgets, headcount, and resource planning for the Data Science organization and Integrated IT Roadmap. Consolidate input from therapeutic and functional areas to ensure consistent financial planning and governance. Stakeholder Engagement Serve as a key liaison between Data Science, Therapeutic Areas, IT and other enabling functions. Communicate DSDH and Integrated R&D IT project and/or portfolio progress to senior leadership and stakeholders. Required Qualifications: Advanced degree (PhD or Master's) in Computer Science, Statistics, Data Science, or Business-Related field, or demonstrated equivalent work experience within a multi-national pharmaceutical company. 7+ years' experience in data science, digital health, or related fields, including significant experience in portfolio and project management. Demonstrated experience leading and developing teams of project managers. Expertise with project management tools (Wrike preferred) and methodologies. Proven ability to drive strategic initiatives and manage complex, cross-functional projects. Strong financial acumen and experience with budget management. Excellent communication, interpersonal, and leadership skills. Preferred Qualifications: Experience with healthcare datasets (EHR, claims, registries). Familiarity with the use of AI tools to improve productivity Familiarity with data visualization tools (e.g., R, Tableau, Spotfire). Experience in large matrixed organizations or consulting environments. Change management certification or training. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #LI-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD Required Skills: Preferred Skills: Agility Jumps, Business Alignment, Continuous Improvement, Mentorship, Performance Measurement, Process Control, Program Management, Project Management Methodology (PMM), Project Management Office (PMO), Project Reporting, Project Schedule, Quality Control (QC), Research and Development, Risk Management, Tactical Planning, Technical Credibility The anticipated base pay range for this position is : $160,000 - $276,000 Additional Description for Pay Transparency: y Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.

Posted 2 weeks ago

KBR logo

Graduate Student Intern - Data Science & Remote Sensing

KBRSioux Falls, SD
Title: Graduate Student Intern- Data Science & Remote Sensing BELONG. CONNECT. GROW. with KBR. About Us At KBR, we deliver science, technology, and engineering solutions that help our customers accomplish their most critical missions. Join us at the Earth Resources Observation and Science (EROS) Center and help shape the future of Earth science data systems. As part of our mission-driven team, you'll contribute to projects that make a global impact, supporting research, innovation, and technology that empower scientists and decision-makers worldwide. Overview: We are seeking a highly motivated graduate student with a strong background in data science and deep learning to contribute to projects at the intersection of satellite remote sensing and AI-driven analytics. The intern will collaborate with scientists at EROS who provide domain expertise in remote sensing physics, while the intern focuses on advanced machine learning techniques for geospatial applications. Must have Three years of continuous residency in the US * Key Responsibilities: Develop and implement deep learning models for remote sensing applications, with emphasis on: Designing custom Convolutional Neural Networks (CNNs) for domain adaptation (e.g., transferring Landsat standards to UAS imagery). Writing custom loss functions and leveraging automatic differentiation in frameworks like PyTorch or TensorFlow. Work with geospatial datasets and apply preprocessing techniques for radiometric calibration. Collaborate with domain experts to integrate physics-based constraints into AI models. Understands converting raw digital numbers (DN) to Top-of-Atmosphere (TOA) reflectance and at-sensor radiance. Required Skills & Knowledge: Deep Learning & AI Architectures: Proficiency in PyTorch or TensorFlow. Experience with CNN design, optimization methods, and domain adaptation. Programming: Strong coding skills in Python (and optionally C++) for scientific computing. Remote Sensing Fundamentals: Familiarity with BRDF concepts, multispectral/hyperspectral data, and geospatial formats (e.g., GDAL). Mathematical Foundations: Solid understanding of linear algebra, multivariable calculus, and optimization techniques. Recommended Academic Background: Candidates should have completed coursework in the following areas: Artificial Intelligence: Deep Learning, Computer Vision, Physics-Informed Neural Networks, Optimization Methods. Remote Sensing: Multispectral and Hyperspectral Remote Sensing. Geospatial Science: Geospatial data formats and tools (e.g., GDAL). Mathematics/Physics: Linear Algebra, Multivariable Calculus, Electromagnetic Theory. Computer Science: Python or C++ for scientific computing. Preferred Qualifications: Prior experience with geospatial data analysis or remote sensing projects. Ability to work independently and collaborate effectively in a multidisciplinary team. Special Requirements Three years of continuous residency in the US for issuance of a Government Security credential. The candidate must be able to obtain and maintain a national agency check and background investigation after hiring to obtain a badge for government facility access and user account. Experience and/or education in lieu of these qualifications will be reviewed for applicability. Experience and/or Education in lieu of these qualifications will be reviewed for applicability to meet these requirements. KBR partners with several other companies to fulfill its requirements as a government contractor. The selected subcontracting companies align their benefits as closely as possible to those above. KBR Benefits KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development. Click here to learn more: KBR Benefits #LI-EM2 Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver- Together. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

Posted 1 week ago

Realtor.com logo

Data Science Manager

Realtor.comAustin, TX

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Job Description

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.

Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.

About the Role

Realtor.com is a two-sided platform helping match the consumers on our site and apps to our paying customers. The Customer Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize every aspect of our customer experience and to drive the company's commercial performance.We are looking for a hands-on, experienced manager to lead a team of data scientists and business analysts, acting as a trusted partner to our sales, marketing, and product stakeholders helping them answer the most critical business questions. Reporting to the Director of Commercial Data Science & Analytics, this role manages multiple areas of work and plays a critical part in driving key strategies and decisions on how to improve sales, customer acquisition, retention, and growth.This is a job for a full-stack data scientist with leadership skills and significant experience in stakeholder management and project management. You are expected to not just react to needs/asks but also actively identify opportunities to move the needle in meaningful ways, in collaboration with a diverse set of cross-functional partners across product, sales, B2B Marketing, engineering, finance, and others.

What you'll do

  • Lead and mentor a team of data scientists and business analysts, providing technical guidance and career coaching, establishing the frameworks for managing and executing work, ensuring quality of work and on-time completion, and fostering a culture of collaboration and innovation.
  • Develop data and analytics strategies that are aligned with goals and priorities in the assigned business areas.
  • Partner closely with stakeholders to understand/clarify needs and requirements, and work with team members to conduct analysis and/or develop data science solutions to address the needs.
  • Work with large and complex data sets to solve a wide array of challenging problems using different data science methods including but not limited to regression, classification, time series, cluster analysis, and advanced machine learning algorithms.
  • Create trusted analytic data layers that serve as the single version of truth and enable wide access to key data and metrics.
  • Build and continuously improve reporting capabilities (e.g., Tableau dashboards) that provide self-serve access to valuable insights about the business and empower decision making. Carry out deep-dive analysis to explain observations and trends.
  • Build data science models to surface actionable insights from large and complex data, predict trends or customer propensity, and optimize operations and resource allocations.
  • Design and execute experimentation to test business hypotheses, prepare test readouts, and provide data-driven recommendations.
  • Prepare deliverables and regularly present work to technical and non-technical audiences. You will convince and influence leaders using clear insights and recommendations, and build credibility through structure and clarity.
  • Build strong partnerships with a wide range of cross-functional stakeholders and actively identify and unlock opportunities to improve business performance with data and analytics.
  • Closely collaborate across the Customer Data Science & Analytics organization to ensure broad adoption of data science and analytics initiatives to drive value across the entire customer business.

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

What you'll bring

We are looking for a player-coach leader who's intellectually curious, passionate about solving complex business problems using data and analytics, and is able to move fast while maintaining focus on high-impact projects.

Minimum Qualifications

  • Bachelor's degree, ideally in a quantitative field (e.g., Statistics, Applied Mathematics, Operations Research,Engineering, Econometrics, Data Science, Computer Science).
  • 6+ years of professional experience in data science and analytics, with 2+ years experience managing people.
  • SQL fluency is a must, with 5+ years of experience.
  • 3+ years of experience using a scripting language like Python or R.
  • Significant experience with experimentation in a business context, including test design, execution, tracking and analysis of results, and readout/recommendations.
  • Strong communication skills for stakeholder engagement and team leadership.
  • Proven experience using data and analytics to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities.
  • Experience in collaborating with cross-functional partners.
  • Experience managing multiple priorities and adapting to changing business needs.

Preferred Qualifications

  • Master's or Ph.D. degree in a quantitative field or in Business Analytics with a strong quantitative background.
  • Experience with cloud-based data environments such as Snowflake and AWS.
  • Experience building and managing analytic data layers. Knowledge of ETL processes, data environments, data governance principles, etc. Knowledge of DBT, Airflow, and Snowflake preferred.
  • Experience in leading reporting/data visualization capabilities (using Tableau or similar tools). Understanding of infrastructure, monitoring, and alerting necessary to support highly visible and business-critical reporting.
  • Demonstrated ability to develop a roadmap for complex technical initiatives and effectively communicate progress against that roadmap.

How we Reward you:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

  • Inclusive and Competitive medical, Rx, dental, and vision coverage
  • Family forming benefits
  • 13 Paid Holidays
  • Flexible Time Off
  • 8 hours of paid Volunteer Time off
  • Immediate eligibility into Company 401(k) plan with 3.5% company match
  • Tuition Reimbursement program for degreed and non-degreed programs
  • 1:1 personalized Financial Planning Sessions
  • Student Debt Retirement Savings Match program
  • Free snacks and refreshments in each office location

Do the best work of your life at Realtor.com

Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.

Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

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