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We are Farmers! We are… more than just your favorite commercials. At Farmers, we strive to deliver peace of mind to our customers by providing protection and comprehensive advice and delivering in the moments of truth. That means having people who can help us meet changing customer and business needs. Farmers high-performance culture is focused on results and the people who achieve them. We hold ourselves and others accountable for sustainably growing the business and each other. We seek solutions, own our actions, and grow through discomfort. We see setbacks as opportunities while continuously asking ourselves how we impact our customers. Farmers is an award winning, equal opportunity employer, committed to the strength of a diverse workforce. We are dedicated to supporting the well-being of our people through our extensive suite of benefits, as well as the well-being of the communities we serve through employee volunteer programs and nonprofit partnerships. Helping others in their time of need isn't just our business - it's our culture! To learn more about our high-performance culture and open opportunities, check out www.Farmers.com/careers/corporate and be sure to follow us on Instagram, LinkedIn, and TikTok. Workplace: Hybrid ( #LI-Hybrid ) Farmers believes in a culture of collaboration, creativity, and innovation, which thrives when we have the ability to work flexibly in a virtual setting as well as the opportunity to be together in person. Our hybrid work environment combines the best of both worlds with at least three (3) days in office and up to two (2) days virtual. Job Summary Utilizes specialized knowledge and experience to apply advanced analytics and modeling to improve business results. Leverages unique customer information and behavioral data to influence strategic business decisions while using complex, innovative analytics, multi-variate models, machine learning and data mining technologies. Assists in and leadscomplex, cross-functional projects operationalizing business decisions. Works independently receiving guidance in only the most complex situations. The role mentors, coaches, and trains less experienced team members and supervises direct reports who are individual contributors. What You'll Do Takes ownership and executes on more complex and often vague business challenges involving data science. Succeeds in specialized projects by scoping, defining measures of success, utilizing a data science vision for project success, and exceeding on prescribed and some vague timelines. Executes and leads broad projects independently with a sense of urgency. Utilizes specialized knowledge of consumer analytics including retention models, agency economics, and leads optimization in their daily work. Utilizes broad knowledge of advanced programing, complex ETL and specialized modeling methods to execute projects and leads the team through examples of effective technical skills. Demonstrates clean reusable code and effective documentation, encourages others to do the same. Acts as the main contributor to multiple phases of a data science project (ideation, experiment design, EDA, feature engineering, model building, deployment, etc. ). Utilizes a strong sense of ownership and contributes to multiple tasks and deadlines simultaneously. Partners closely with IT, business, and data management/engineering teams to understand, utilize, and improve our data infrastructure. Advises on complex matters and serves as an objective and transparent partner to drive fact-based decision making and a measures of success culture. Provides strategic direction, project clarity and methodological consultation. Delivers results both individually and by mentoring and empowering other team members. Mentors and provides guidance to team members. Provides high level coaching and knowledge around technical and non-technical skills. Reviews AI/ML modeling, statistical analysis, and data analysis completed by other team members, providing coaching and feedback as needed. Develops presentations and presents to all groups and levels of leadership, including executives. Regularly communicates complex technical material understandable to non-technical associates. Manages specialized model deployments via MLOps techniques. Partners closely with analytics and IT teams to deploy models/rules in various platforms and leads testing of new solutions. Takes active role in steering MLOps environment improvements. What You'll Bring Minimum seven years of work experience required in data analysis, statistical or mathematical modeling, or related. Education You'll Need High School Diploma or equivalent required. Masters degree required in data science, statistics, mathematics, business analytics or related. Additional Qualifications Strong verbal communication and listening skills. Advanced storytelling skills with ability to communicate complex data insights clearly to technical and non-technical audiences. Demonstrated written communication skills. Proficient in Microsoft Office Suite. Develops and delivers effective presentations. Effectively coaches and delivers constructive feedback. Demonstrated problem solving skills. Excellent collaboration and team building skills. Ability to influence internal and/or external constituents. Seeks to acquire knowledge in area of specialty. Possesses flexibility to work in a fast paced, dynamic environment. Able to meet deadlines and priorities that shift with business needs. Able to simultaneously handle multiple priorities. Possesses solid project management skills. Demonstrated analytical skills. Possesses advanced technical aptitude. Advanced proficiency working on large-scale structured and unstructured multidimensional data using advanced knowledge of open-source cloud-enabled analytical programming languages. Advanced ability to consult on data extraction, data manipulation and data design for statistical, modeling and monitoring needs. Advanced knowledge of data analysis, manipulation tools (SQL, Python, SAS, R, and/or Snowflake) and cloud computing services (AWS). Advanced knowledge of data visualization tools (example, Tableau, Power BI). Advanced proficiency in using explanatory, diagnostic, and inferential techniques such as experimental design, hypothesis testing, clustering analysis, time series and other statistical modeling algorithms with the ability to decide the appropriate methodology for the purpose. Advanced proficiency in predictive and prescriptive modeling using advanced machine learning and deep learning techniques. Advanced in ML/AI model deployment best practices. Able to adapt quickly to new technologies. Advanced knowledge of coding standards and version control (Git). Other. Broad knowledge of data ethics and data privacy. Benefits Farmers offers a competitive salary commensurate with experience, qualifications and location. o CA Only: $134,320 - $214,390 o CO Only: $126,240 - $184,690 o HI/IL/MN/VT Only: $126,240 - $197,780 o MA Only: $126,240 - $197,780 o MD Only: $126,240 - $197,780 o NY/DC/NJ Only: $126,240 - $214,390 o Albany County: $134,320 - $184,690 o WA Only: $126,240 - $224,750 Bonus Opportunity (based on Company and Individual Performance) 401(k) Medical Dental Vision Health Savings and Flexible Spending Accounts Life Insurance Paid Time Off Paid Parental Leave Tuition Assistance For more information, review "What we offer" on https://www.farmers.com/careers/corporate/#offer Job Location(s): US - CT - Hartford, US - KS - Kansas City, US - MI - Grand Rapids, US - MI - Caledonia, US - AZ - Phoenix, US - CA - Woodland Hills Anticipated application deadline: At Farmers, the recruitment process is designed to ensure that we find the best talent to join our team. As part of this process, we typically close open positions within 8 to 21 days after posting. If you are interested in any of our open positions, we encourage you to submit your application promptly. Farmers will consider for employment all qualified applicants, including those with criminal histories, in accordance with the Los Angeles Fair Chance Initiative for Hiring Ordinance or other applicable law. Pursuant to 18 U.S.C. Section 1033, Farmers is prohibited from employing any individual who has been convicted of any criminal felony involving dishonesty or a breach of trust without prior written consent from the state Department of Insurance. Farmers is an Equal Opportunity Employer and does not discriminate in any employer/employee relations based on race, color, religion, gender, sexual orientation, gender expression, genetic information, national origin, age, disability, marital status, military and veteran's status, or any other basis protected by applicable discrimination laws. Want to learn more about our culture & opportunities? Check out www.Farmers.com/careers/corporate and be sure to follow us on Instagram, LinkedIn, and TikTok. Spokane, WA only: Residents who prefer not to provide their address click here to submit your resume via email: careers@farmers.com

What you'll need to succeed as Senior Scientist, Data Science at XPO Minimum qualifications: Bachelor's degree or equivalent related work or military experience 2 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management Experience with statistical modeling, data analytics and visualization using R and Python (Numpy, Pandas, Scipy, Plotly and Matplotlib) Significant experience applying one or more analytical methods: regression (preferably mixed models), data classification and reduction (cluster, factor, principle components, decision trees), Bayesian inference or other advanced machine learning techniques Deep understanding of statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods Technical database knowledge (Oracle, NoSQL, data modeling) and experience optimizing SQL queries on large data Ability to write SQL fluently, recognize and correct inefficient or error-prone SQL, and perform test-driven validation of SQL queries and their results Proficiency in Microsoft Office and Windows applications Availability to work periodic 24/7 on-call support as required by the team's rotation schedule Preferred qualifications: Master's degree in Computer Science, MIS, Engineering, Business or a related field Data science specialization from Coursera, Udacity, Data Camp, etc. 5 years of experience in data science, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, and AI 5 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management Ability to quickly learn and achieve proficiency in new software applications About the Senior Scientist, Data Science job Pay, benefits and more: Competitive compensation package Full health insurance benefits available on day one Life and disability insurance Earn up to 15 days of PTO over your first year 9 paid company holidays 401(k) option with company match Education assistance Opportunity to participate in a company incentive plan What you'll do on a typical day: Conceive and develop end-to-end solutions focused on data science and engineering, using machine learning and deep learning algorithms, statistical concepts, data modeling, software development, cloud computing and visualizations Resolve technical issues in existing processes and current development work; solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines Understand and improve shared standard patterns, templates and artifacts for data science platform architecture, data science development approaches, data models, new technology adoption and rollout Collaborate with IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery Mentor other team members on technical skills, methodologies, problem solving approaches and standard patterns used at XPO Generalize and share technical approaches among other developers, and simplify and communicate completed work to broader audiences across the company Help support data consumers to ensure they have reliable access to trusted data Annual Salary Range: $106,383 to $132,978 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans. About XPO XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. Review XPO's candidate privacy statement here. Nearest Major Market: Boston Job Segment: Cloud, Testing, Database, GIS, Computer Science, Technology Apply now "

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: Raritan, New Jersey, United States of America, San Diego, California, 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 Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas The primary location for this position is 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 dynamic Director to lead Real-World Evidence (RWE) initiatives across therapeutic areas (xTA) within the R&D Data Science & Digital Health organization. This role will be instrumental in advancing our enterprise-wide RWE capabilities, fostering cross-functional collaboration, and driving innovation in evidence generation. The successful candidate will partner closely with senior leaders across R&D and commercial to shape the RWE ecosystem, influence regulatory policy, and elevate J&J's scientific leadership internally and externally. This is a high-impact role for a strategic thinker and hands-on leader passionate about transforming healthcare through data-driven insights. Other Key Responsibilities include: Lead cross-TA RWE initiatives that support clinical development, regulatory submissions, and strategic decision-making. Partner with internal stakeholders and external collaborators to co-create integrated RWE strategies and solutions. Contribute to shaping regulatory policy and standards for RWE through scientific engagements. Develop and disseminate best practices for novel RWE design and methodologies. Provide scientific leadership and subject matter expertise in study design, analytics, and interpretation of evidence research. Support the development of internal capabilities and tools to accelerate evidence generation and delivery. Promote a culture of innovation, scientific rigor, and continuous learning across the RWE function. Required qualifications: Ph.D. or Master's in epidemiology, biostatistics, outcomes research, health policy, or related field. 8+ years of relevant experience in biopharma, RWE consulting, or healthcare industries. 3+ 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: Experience in regulatory-grade evidence generation and regulatory engagement. Demonstrated ability to lead cross-functional initiatives and influence without authority. Subject matter expertise in one or more therapeutic areas. Experience working in matrixed, global organizations. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson 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 The anticipated base pay range for this position is : $160,000 - $276,000 Additional Description for Pay Transparency: 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.

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

Trex Company, the world's number one decking and railing brand, and leader in high-performance, low-maintenance outdoor living products, is seeking a Data Science Intern to take part in our summer internship program. The Intern can expect to: Gain hands-on practical experience in data science in a complex manufacturing environment Optimize equipment and finished good production using data analytics and machine learning Collecting real-time process data to produce recommendations for process parameters Conduct root cause analysis Write Python script Create Power Bi dashboards Conduct data acquisition, data preprocessing, and predictive model building REQUIREMENTS Applicants must be currently enrolled in a 4-year accredited degree program in computer science, chemical engineering or related field. The ideal candidate needs to have a strong attention to detail and the ability to work under tight deadlines. This person should be consistently focused on improving Trex's business needs. Required Skills: Basic programing skills in python Hands-on approach to problem solving Must be a rising Junior or Senior Must have at least a 3.0 GPA Preferred Skills: Strong understanding of statistics concepts Experience using statistics software such as JMP or MiniTab Power BI experience Experience with Machine Learning Models WHO WE ARE Over 30 years ago, our founders created the world's first high-performance, low-maintenance composite decking and outdoor living products. That entrepreneurial spirit still drives us today as we continue to redefine our industry and lead the way for what's next in outdoor living. Today, Trex is the world's #1 brand of sustainably made, wood-alternative decking and deck railing - all proudly manufactured in the U.S.A. As a publicly traded company [NYSE: TREX], we take pride in being the largest recycler of plastic film in the country and caring for the communities and the planet where we live. We nurture meaningful connections, from local engagement and investment to eco-friendly products and sustainable manufacturing processes. Everything we do is grounded in our values and guided by our beliefs. We are looking for candidates who embody our core values: Do the Right Thing Act with Boldness and Authenticity Drive Sustainability Innovate and Adapt At Trex, you'll become part of a diverse yet unified team who sustain the trailblazing spirit and strengths that made Trex the industry leader-learning, adapting, solving and succeeding. We welcome new ideas and fresh perspectives, and we encourage you to bring your best to help us shape the future of Trex. Being a leader means persevering even when there's not a road map; embracing groundbreaking as a way of life. We encourage multiple perspectives and welcome diverse people who problem-solve, adapt and innovate-always with a firm foundation in safety and integrity. CAREER ADVANCEMENT At Trex, you can take pride in craftsmanship. There's an art and a science to what we do, and we never stop working to refine and improve. That means no matter how long you've been with Trex, you have ongoing opportunities to grow your expertise-enhancing your career, your team, and our shared efforts. You will help shape our future. EEO Trex is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive environment for all employees and do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. All qualified applicants will receive consideration for employment without regard to these or any other characteristics protected by law. E-VERIFY Trex participates in E-Verify to confirm the employment eligibility of all hired employees. E-Verify is a web-based system operated by the Department of Homeland Security (DHS) and the Social Security Administration (SSA) that allows employers to electronically verify the employment eligibility of their employees. For more information, please visit www.dhs.gov/E-Verify.

About the team/role We are seeking a seasoned and strategic leader to build and guide our Finance Data Science team. In this role, you will be responsible for establishing the vision and roadmap for how data science drives Checkr's financial strategy, profitability, and operational excellence. You will lead and mentor a talented team of data scientists and analysts, empowering them to deliver the critical quantitative insights that underpin our most important financial decisions. The Finance DS team owns the quantitative backbone of Checkr's business, including: revenue forecasting; revenue and cost data models; the source of truth for key business metrics (e.g., upsell, churn); and analytical / automation support for planning, pricing, packaging, and strategic finance initiatives. As the Senior Manager of Data Science, Finance, you will be a key partner to our executive and C-level leadership team. You will translate ambiguous, high-level business challenges into a clear, quantitative agenda and be accountable for the models, analyses, and insights that shape our company's financial future. This role reports into our central Data & ML team within the Engineering organization, ensuring a strong technical foundation and career path, while being dedicated to the Finance domain. What you'll do Team Leadership & Development: Hire, mentor, and grow a high-performing team of data scientists and analysts. Foster a culture of technical excellence, business impact, and continuous learning. Strategic Planning & Vision: Define and own the roadmap for the Finance Data Science team. Partner with C-level and VP-level stakeholders to identify and prioritize the most impactful analytical and modeling opportunities. Executive Stakeholder Management: Serve as the primary data science partner to the Finance leadership team. Translate complex quantitative concepts into clear, actionable recommendations for a senior executive audience. Oversee Financial Modeling & Forecasting: Guide the team in developing and deploying models to forecast revenue, costs, and key business metrics, directly influencing the company's financial planning (FP&A) and strategy. Drive Business Performance & Insights: Lead deep-dive analyses into business trends, unit economics, pricing, and new ventures to uncover opportunities for growth and efficiency. Technical Excellence: Set (and then raise) the bar for technical rigor, ensuring the team's work in modeling, analysis, and data pipelines is robust, scalable, and production-ready. What you bring A Bachelor's or Master's degree in a quantitative field like Statistics, Computer Science, Economics, or equivalent experience. 10+ years of experience in data science or quantitative roles, with a clear progression of impact and seniority. 3+ years of direct people management experience, with a proven ability to attract, hire, and develop high-performing data scientists and foster a culture of excellence. Deep expertise in SQL, Python, modern ELT and data transformation frameworks (e.g. dbt), key ML and forecasting techniques; with the ability to set technical direction, guide architectural decisions, and maintain a high bar for quality. Demonstrated ability to develop and execute a strategic vision and multi-quarter roadmap for a data science function, aligning it with broader business objectives. Exceptional stakeholder management and communication skills, with proven ability to influence and align with executive leaders (C-level, VPs) and translate complex quantitative work into clear business strategy. Strong business acumen, with deep experience applying data science to solve complex financial problems (e.g., forecasting, pricing, risk) in a B2B or SaaS environment. What you'll get A fast-paced and collaborative environment Learning and development allowance Competitive cash and equity compensation and opportunity for advancement 100% medical, dental, and vision coverage Up to $25K reimbursement for fertility, adoption, and parental planning services Flexible PTO policy Monthly wellness stipend, home office stipend At Checkr, we believe a hybrid work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO, San Francisco, CA, and Santiago, Chile. Individuals are expected to work from the office 2 to 3 days a week. In-office perks are provided, such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages. One of Checkr's core values is Transparency. To live by that value, we've made the decision to disclose salary ranges in all of our job postings. We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website. The base salary range for this role is $254,000 to $299,000 in San Francisco, CA. Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco's Fair Chance Ordinance.

Site Name: UK - Hertfordshire- Stevenage, Heidelberg, Upper Providence, USA - Massachusetts- Waltham Posted Date: Oct 8 2025 Company Overview At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. GSK has kicked off 2025 with impressive growth in sales, profits, and earnings. We anticipate five major new FDA product approvals and 15 phase III/pivotal study readouts over the next two years. So far, we have secured two FDA approvals, with three more expected later this year. By uniting science, technology, and talent, we are committed to getting ahead of disease together. Job Purpose Are you looking for an opportunity to lead a Translational Data Science team within Oncology Genomics in GSK's Research Technology department and aid in the discovery and development of new cancer medicines? If so, this is the job for you. As a Director in Translational Data Science in the Oncology Genomics team you will lead, plan and coordinate computational biology and genomics projects in partnership with functions across GSK including the Oncology Research Units with the aim to discover and develop the next generation of oncology therapeutics. You will work in an inter-disciplinary environment, frequently interfacing with wet-lab and translational scientists, clinicians, statisticians, and AI/ML colleagues among others. GSK's Oncology portfolio has seen significant growth in the past years. In the late-stage setting, we have seen numerous approvals and positive Phase 3 readouts. We also have several early-stage programs aiming to enter the clinic over the years to come. Oncology is now posed to be a significant growth driver for GSK, allowing us to be ambitious for patients and continue investment into early drug discovery. To achieve these aims requires leadership in computational biology to derive decision making insights from complex oncology genetic and genomic datasets. Key responsibilities: This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following: Lead and build a growing team of Oncology Computational Biologists and Genomicists to support and innovate the Oncology portfolio pipeline Contribute scientific expertise and design to multiple drug discovery or development efforts across oncology Act as a competent and recognized expert in developing and critiquing the scientific validity of research/development initiatives to drive the development and delivery of long-term scientific strategy in Oncology Genomics Individually contribute with analyses and integration of complex cancer datasets. This includes analysis of gene & protein expression (bulk + single cell + spatial), somatic mutations, copy number alterations, and structural variants Apply statistical methods and AI/machine learning algorithms to identify patterns in data, predict drug response, and discover potential biomarkers. Critically evaluate results. Conduct survival analysis to assess the impact of various factors on patient outcomes Lead the development and use of bioinformatics pipelines Serve as a recognized leader in driving technological foresight within specific scientific function or directing content of programs Lead and influence the outcome of multidisciplinary meetings including partners in therapeutic research units, translational and clinical development teams. Communicate complex scientific findings clearly to both technical and non-technical audiences. Maintain current knowledge of advancements in cancer research and computational biology. Effectively communicate findings to appropriate senior GSK internal groups Utilize your track record of effecting substantial change by applying interdisciplinary knowledge of multiple disciplines and therapeutic areas that impact discovery and/or development in oncology Apply scientific skills to influence experimental design and data interpretation that impacts across drug discovery/development Define and execute a coordinated and highly influential scientific strategy Accountable for decisions affecting major product development activities or business directives and their implementation and for recommending allocation of resources with key matrix partners Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: PhD with postdoc or industry experience OR MS with extensive years of related experience in Computational Biology, Bioinformatics, Cancer Biology, or a related field. Proven track record of leadership or matrix leadership experience in Computational Biology, Cancer Biology or a related field Strong understanding of cancer biology and the drug discovery process. Proficiency in Python or R, with experience building bioinformatic workflows and documenting code with version control. Experience working with large-scale oncology datasets (e.g., TCGA, CPTAC, DepMap, PRISM) Understanding of statistical methods, machine learning and/or AIML algorithms, and survival analysis techniques. Preferred Qualifications: If you have the following characteristics, it would be a plus: Leadership with line management experience in Data Science in Oncology Research and Development in Industry, Biotech or Academic settings Expertise and experience in integrating translational and real-world clinical and 'omics data with preclinical data for target discovery, biomarker and patient selection strategies A strong publication track record and internationally recognized research experience Knowledge of multiple disciplines and therapeutic areas that impact discovery/ development policy, processes or guidelines in the pharmaceutical industry Demonstrated ability to coordinate outputs from several expertise areas to determine strategy Proven track record of effecting substantial change Ability to make decisions Expert in integration of preclinical development disciplines and commercial strategy into a full-scale product development activity Ability to influence others #LI-GSK* #HGG Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on UKRecruitment.Adjustments@gsk.com or 0808 234 4391. The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive . Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

As a manager on the Safety Data Science & Analytics team, you will help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games, while ensuring a safe environment that minimally disrupts positive user experiences. What you'll be doing Directly manage a 6-person Analytics Data Science team across junior to senior levels, providing right-sized coaching, feedback, and development support. Participate in Safety Leads group, building strong cross-functional relationships and contributing data-driven perspectives to safety strategy. Ensure quality of deliverables across the team through direct review or delegation to senior team members, maintaining and improving existing processes. Up-level the team's ability to have more strategic impact by improving processes, stakeholder management, and driving ruthless prioritization. Develop your own strategic point of view of how Safety can be improved at Discord and drive change via thought leadership and/or deliverables from your team. What you should have Direct experience on Safety or Integrity teams at consumer tech companies, with background in content moderation, scaled abuse detection (spam/scams), and/or teen safety initiatives. 2+ years directly managing teams of 3+ individuals with demonstrated ability to build and maintain high-performing DS teams. 5+ years in data science or analytics as an IC with proficiency in SQL and R or Python, plus willingness to contribute technically when needed. Expertise in product analytics, experimentation, A/B testing, and product strategy. Excellent communication and proven ability to translate complex technical findings into clear insights for stakeholders across all technical levels. Experience scaling and automating self-service analytics through tools like Tableau, Looker, or PowerBI. Experience or strong perspective in safety or risk domains with ability to apply data science to these business areas. Strong management philosophy aligned with building autonomous, accountable teams while driving business impact. Collaborative, low‑ego, and user‑obsessed. Bias to action and learning. Bonus Points Experience collaborating with compliance, legal, or litigation cross-functional teams. Experience with mature data platforms and engineering stacks including DBT, Dagster, or Airflow. Experience applying causal inference or ML to guide product decisions at scale. Passion for Discord, gaming, and/or online communities. Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). The US base salary range for this full-time position is $248,000 to $279,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Lead AI Innovation Lead - Data Science Lab Overview Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution. Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience. Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions. In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction. Key Responsibilities Include: Leadership & Strategy Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives. Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence. Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption. Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner. Innovation & Research Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies. Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches. Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units. Create patentable technologies and methodologies that drive long-term innovation. AI/ML Development Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases. Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI. Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs. Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing. Operational Excellence Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment. Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management. Actively participate in proof-of-concept evaluations of new data, software, and technologies. Collaboration & Integration Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions. Contribute to the standardization of data science tools, processes, and best practices across the enterprise. Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences You are: You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have demonstrated track record of managing data science teams and working with business leaders. You have: PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field 7+ years of hands-on ML modeling/development experience Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP) Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions Strong programming skills in Python including PyTorch and/or Tensorflow Solid background in algorithms and a range of ML models Experience leading team of Data Scientist of four or more Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Location: Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA Remote Candidates who can travel up to 20% of the time to our New York office will be considered. Salary Range: $148,940.00 - $244,685.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact applicant_accommodation@glic.com. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

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

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

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

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

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Raritan, New Jersey, United States of America, San Diego, California, 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 Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas The primary location for this position is 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 dynamic Director to lead Real-World Evidence (RWE) initiatives across therapeutic areas (xTA) within the R&D Data Science & Digital Health organization. This role will be instrumental in advancing our enterprise-wide RWE capabilities, fostering cross-functional collaboration, and driving innovation in evidence generation. The successful candidate will partner closely with senior leaders across R&D and commercial to shape the RWE ecosystem, influence regulatory policy, and elevate J&J's scientific leadership internally and externally. This is a high-impact role for a strategic thinker and hands-on leader passionate about transforming healthcare through data-driven insights. Other Key Responsibilities include: Lead cross-TA RWE initiatives that support clinical development, regulatory submissions, and strategic decision-making. Partner with internal stakeholders and external collaborators to co-create integrated RWE strategies and solutions. Contribute to shaping regulatory policy and standards for RWE through scientific engagements. Develop and disseminate best practices for novel RWE design and methodologies. Provide scientific leadership and subject matter expertise in study design, analytics, and interpretation of evidence research. Support the development of internal capabilities and tools to accelerate evidence generation and delivery. Promote a culture of innovation, scientific rigor, and continuous learning across the RWE function. Required qualifications: Ph.D. or Master's in epidemiology, biostatistics, outcomes research, health policy, or related field. 8+ years of relevant experience in biopharma, RWE consulting, or healthcare industries. 3+ 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: Experience in regulatory-grade evidence generation and regulatory engagement. Demonstrated ability to lead cross-functional initiatives and influence without authority. Subject matter expertise in one or more therapeutic areas. Experience working in matrixed, global organizations. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson 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 The anticipated base pay range for this position is : $160,000 - $276,000 Additional Description for Pay Transparency: 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.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job Category: Professional All Job Posting Locations: Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson and Johnson Innovative Medicine is recruiting for a Director, R&D Data Science and Digital Health (DSDH) Immunology RWE. This position can be located in one of our US locations in either Spring House, PA, Cambridge, MA, New Brunswick, NJ, Raritan, NJ, Titusville, NJ, or San Diego; or in Barcelona, Spain. Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s): USA - Requisition Number: R-036717 Spain - Requisition Number: R-037672 Position Summary: Contribute to the design and execution of a Data Science & Digital Health (DSDH) RWE (Real World Evidence) strategy in alignment to the Immunology Therapeutic Area (IMM TA) goals and objectives Partner with DSDH colleagues and the IMM TA to define and prioritize a portfolio of innovative medicines in development in alignment with the IMM TA strategy To successfully meet these objectives, this individual will work closely with individual clinical project teams as well as functional area partners in Discovery, Late Development, Epidemiology, Market Access, Medical Affairs and other relevant functions. Responsibilities: Provide strategic input into the Immunology R&D DSDH RWE priorities ranging from individual projects to large collaborations with internal functional areas and external institutions Identify viable data science and digital health opportunities and then conceive, develop and implement end to end study design and data analytical solutions. A specific example may include working with the Disease Area Stronghold (DAS) Leaders and Compound Development Teams (CDT) to develop the RWE DSDH strategy to improve early and late phase clinical study designs by supporting novel patient identification/ selection of end points (e.g., identification of at-risk patient populations through development of novel predictive algorithms) Serve as a key liaison to functional area partners and provide support for collaborations with DSDH, Epidemiology, Discovery and other internal functional areas to assure alignment on key DSDH programmatic goals aligned with the Immunology therapeutic area. Execute the DSDH RWE strategy across a matrixed cross-functional CDT and the Clinical Team. Provide strategic leadership on managing/addressing specific project/program-related issues and presenting to and negotiating with leadership teams on development plans or program-related issues. Participate in and may lead cross-functional teams for evaluation of new scientific opportunities, disease areas, product ideas, implement franchise business strategies, etc. Provide key input into diligence activities Participate or lead cross-departmental or cross-functional projects with broad Johnson and Johnson Innovative Medicine impact Author abstracts and scientific manuscripts for publication based on clinical trial data, real-world data, observational studies etc. Build credible relationships with opinion leaders and may act as company spokesperson regarding publication of research findings and presentations to relevant health authorities and consultant/advisory meetings. This is not an exhaustive, comprehensive listing of job functions. May perform other duties as assigned. Required Qualifications: PhD, PharmD, or MD (or equivalent) in statistics, bioinformatics, computational biology, epidemiology, applied mathematics, computer science, physics, engineering or related fields, is required. (Consideration may be given for candidates with a Masters degree and at least 10 years of experience.) 8+ years of progressive business experience in the pharmaceutical R&D, data science, digital health, including life sciences companies, consulting firms with established healthcare Data Science and life sciences practices, and other companies in the data science ecosystem Consistent track record of collaboration in a matrix organization, entrepreneurial skill, and ability to influence and engage strategic and technical partners Familiarity with data science and digital health Experience with healthcare datasets, such as EHR, or insurance claims Preferred Skills: A strong background in RWE/Data Science & Digital Health Knowledge of Immunology is strongly preferred Experience delivering data science projects using predictive technologies, data mining and/or text mining Experience analyzing or handling healthcare data sets, including EHR, claims and registry data Experience with data science tools and statistical programming languages, including SQL, Python, R, and others Experience with defining use cases for deep learning, foundational models, and machine learning This position currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely (no fully remote option available) and can be located in one of our US locations in either Spring House, PA, Cambridge, MA, New Brunswick, NJ, Raritan, NJ, Titusville, NJ, or San Diego; or in Barcelona, Spain. Approximately 15% travel domestic and international may be required. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $160,000 to $276,000. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL #JNJDataScience #JNJIMRND-DS #JRDDS #LI-Hybrid

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

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

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses. Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world-all in a flexible, award-winning workplace. PagerDuty is seeking a Director, Data Science (IT) to build and lead a world-class data science function in the IT Organization. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful data science and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core data analytics, services, and operations. You'll partner cross-functionally with Business teams across Sales, Marketing, Customer Success, Product, and Finance leaders to ensure we're aligned and scalability is built in adopting data science models & operations. This role is both business-facing and deeply technical. Your primary responsibility is to understand business use cases and proactively propose innovative ways of working using generative AI. As a technologist, you'll lead a team to implement solutions that transform data analytics. You may have prior experience working in business teams, and you will play a key role in building and scaling a team that brings data and GenAI-powered insights to life across the company. Key Responsibilities Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes. Act as a strategic advisor and thought leader, identification, rollout & championing the adoption of AI/ML across the organization. Build, mentor, and lead a high-performing, collaborative team of IT data scientists, IT Data Product Managers, and IT data engineers. Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives. Develop new ideas, brainstorm with Business partners on how the latest innovations in AI can improve business performance. Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value. Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization. Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions. Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement. Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs. Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility. Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability. Basic Qualifications: 10+ years of experience in Business Data analytics, Data Science roles in B2B SaaS. Proven track record of building and leading high-impact data science teams. Proven experience deploying machine learning models at scale in production environments. Familiarity with modern data stacks: cloud data warehouses. (Snowflake/Databricks/AWS), BI Tools, orchestration tools, and MLOps platforms. Exceptional communication and storytelling skills. You can simplify complexity and influence at all levels. Preferred Qualifications: Bachelor's in a quantitative field such as Computer Science, Statistics, Mathematics, or similar, with an advanced degree (Master's degree or higher) preferred. PagerDuty is a flexible, hybrid workplace. We embrace and encourage in-person working as an integral part of our culture. Both our employees and external research tells us that co-located collaboration strengthens connections, drives innovation, and accelerates learning. This role is expected to come into our Atlanta office 2 days per week, so you can thrive in your new role and fully embrace being a Dutonian! The base salary range for this position is 212,000 - 356,000 USD. This role may also be eligible for bonus, commission, equity, and/or benefits. Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience. Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process. Hesitant to apply? We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn't the right role or time - sign up for job alerts! Where we work PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in: Location restrictions: Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming Candidates must reside in an eligible location, which vary by role. How we work Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian. People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance. What we offer As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site. Your package may include: Competitive salary Comprehensive benefits package Flexible work arrangements Company equity* ESPP (Employee Stock Purchase Program)* Retirement or pension plan* Generous paid vacation time Paid holidays and sick leave Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)* Paid volunteer time off: 20 hours per year Company-wide hack weeks Mental wellness programs Eligibility may vary by role, region, and tenure About PagerDuty PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses PagerDuty is Great Place to Work-certified, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2. Go behind-the-scenes on our careers site and @pagerduty on Instagram. Additional Information PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy. PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email accommodation@pagerduty.com and we will work with you to meet your accessibility needs. PagerDuty uses the E-Verify employment verification program.

The Mathematics, Statistics and Data Science Department of Loyola Marymount University invites applications for a tenure-track position at the Assistant Professor level beginning Fall 2026. The successful candidate will have expertise in statistics, data science, or a related field. Applicants are expected to have completed a Ph.D. or comparable terminal degree in statistics, data science, statistics education, operations research, mathematics, or a related field by August 15, 2026. The Mathematics, Statistics and Data Science Department, housed within Loyola Marymount University's College of Science and Engineering, is an inclusive community of 21 full-time faculty members and approximately 70 undergraduate mathematics majors, about half of which are statistics and data science majors, 55 minors, and 10 Master of Arts in Teaching Mathematics students. The department offers several Bachelor's degree options and minors, including both a Bachelor of Science in Statistics and Data Science and a minor in Statistics and Data Science. Faculty in the department work in many areas of pure and applied mathematics, statistics, and data science, in an atmosphere of mutual respect and collaboration. Additional information about the LMU Mathematics, Statistics and Data Science Department is available online at https://cse.lmu.edu/department/math . The Department offers two, three, and four unit courses. The normal teaching load is two to three courses per semester, averaging 9 units per semester, with a reduced teaching load in the first two years. LMU is committed to broadening the participation of students in STEM fields, and LMU's environment offers many opportunities for collaborative research, teaching, and service that actively inform and improve equity and social justice. Faculty responsibilities include teaching, advising, maintaining an active program of scholarship, and engaging in university service. Successful candidates will be dedicated to: 1) teaching a diverse student body in a transformative learning environment across a range of undergraduate courses, 2) developing a thriving research program and mentoring undergraduate students, and 3) participating in service activities at the academic, professional, and/or community levels. The department has a commitment to working towards greater diversity, equity, inclusion, and accessibility in the profession. The successful applicant will submit a statement indicating how they expect to contribute to this effort in ways that align with student-centered pedagogies, accessible mentorship practices, and the university mission. LMU provides comprehensive benefit offerings and robust support for faculty. For more information about our programs visit at https://admin.lmu.edu/hr/totalrewards/benefits/ and https://academics.lmu.edu/ofd/ which links to the latest Faculty Resource Guide. Apply online at MathJobs.Org: https://www.mathjobs.org/jobs/list/26637 . A complete application consists of the following: A cover letter highlighting your experience/interest in the position; A curriculum vitae detailing your educational background, research accomplishments, and work experience, as well as any leadership and service experience (e.g., academic, professional, community) that you believe are relevant to this position; A statement of your teaching philosophy that addresses past and/or potential contributions that would be related to LMU's mission or your overall vision for your role as a teacher-scholar; A statement of current research and your plans for establishing a thriving research program in your area of expertise at LMU, including, if applicable, how you plan to involve undergraduate students in scholarship; A statement that addresses past and/or potential contributions to promotion the success, sense of belonging, and thriving of students from a variety of lived experiences through pedagogical and mentorship practices that center diversity of thought, equity in outcomes, inclusion of students from all backgrounds, and accessible learning environments. The application of these contributions might include, but are not limited to: research, teaching and/or service that has prepared the candidate to contribute to the engagement and inclusion of diverse audiences in higher education, contributions to diverse perspectives and ways of knowing and learning, and/or research or professional experience with a specific social justice-focus on underserved communities or nations; Three letters of recommendation, at least one of which addresses the applicant's teaching. Initial review of applications will begin on October 1, 2025. For full consideration, please submit applications by October 15, 2025. Please address questions to Professor Anna Bargagliotti, Hiring Committee Chair, at Anna.Bargagliotti@lmu.edu. #HERC# #HEJ# Faculty Regular Reasonable expected salary: $97,000.00 Loyola Marymount University, a Carnegie classified R2 institution in the mainstream of American Catholic higher education, seeks outstanding applicants who value its mission and share its commitment to inclusive excellence, the education of the whole person, and the building of a just society. LMU is an equal opportunity employer committed to providing an environment free from discrimination and harassment as defined by federal, state and local law. We invite all persons in the full diversity of their being, life experience, and beliefs to apply. (Visit www.lmu.edu for more information.)