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Who We Are International Justice Mission (IJM) is the global leader in protecting vulnerable people from violence around the world. Our team of over 1,200 professionals are at work worldwide in over 30 offices. Together we are on a mission to rescue millions, protect half a billion, and make justice unstoppable. We are a global community that cares for one another. We believe that the way we work is as important as the results we achieve. We provide professional excellence with joy and celebration to all those we serve. The Need For over 25 years, IJM has pioneered the work to protect vulnerable people from violence. 9 out of 9 times in the last decade, IJM’s Justice System Strengthening Projects have reduced slavery and violence between 50 and 85% for very large populations of people in poverty. As we grow to expand our impact to protect 500 million people from violence, we are seeking a Data Science Intern to join the 2025 Fall Internship class. The Data Science Intern will support various initiatives executed by the Global Measurement Team , whose goal is to provide leadership, direction, and services on mea surement and program management to our colleagues and partners. The Data Science Intern will help the Global Measurement Team work with program teams to identify opportunities where data can drive greater impact. Tasks may include: Support developing software processes for automating data clean up in research datasets; Support executing data trainings, workshops, and brainstorm sessions; Working with data from multiple internal and external data sources; Conducting surveys on AI-use; Participating in departmental and general IJM administrative support. This position can be fully in-person or hybrid (onsite Tuesdays & Thursdays) in the Washington, DC area or remote for non-local candidates. It reports to the Sr. Specialist, Data Science . The position requires 30- 40 hours per week. Fall internship program dates are Sept. 15 – Dec. 12, 2025 . General Qualifications and Required Skills Bachelor's degree must be in progress for DC/Remote Internships and applicants need to have completed at least two years of undergraduate study. Experience in community engagement. Experience with project management and administrative support. CRM experience a plus. Excellent written and verbal communication skills. Critical Qualities Mature orthodox Christian faith; Humble and resilient; Pursues excellence; Culturally aware and appreciative of difference; Strong service ethic; Innovative problem solver; Ability to build trust and strong partnerships with others; Courageous in pursuing opportunities and challenges; Tenacious in achieving goals; and Professional. Application Process: Upload Resume, Cover Letter & Statement of Faith* in one PDF document . *What is a statement of faith? A statement of faith should describe your Christian faith and how you see it as relevant to your involvement with IJM. The statement can either be incorporated into the cover letter or submitted as a separate document and should include, at a minimum, a description of your spiritual disciplines (prayer, study, etc.) and your current fellowship or place of worship. IJM holds strict safeguarding principles and a zero tolerance to violations of the Safeguarding Policy, Protection against Sexual Exploitation, Abuse and Harassment Policy, and Code of Ethics. Candidate selection is based on technical competence, recruitment, selection and hiring criteria subject to assessing the candidate’s value congruence and thorough background, police clearance, and reference check processes. At IJM, we’re committed to building a diverse workforce through fair and equitable employment practices. IJM encourages people of any race, color, age, sex, marital status or political ideology to apply for employment. While we welcome everyone into this work, we truly believe that the work we are doing is God’s work, not our own, and practice spiritual disciplines together daily. That’s why we legally require under SEC. 2000e-1 [Section702] of Title VII of the Civil Rights Act of 1964 that all employees practice a mature orthodox Christian faith, as defined by the Apostles’ Creed. IJM requires a background check, police clearance and thorough review of references with an employment offer and/or employment contract. #LI-BR1 #LI-Hybrid #LI-Remote

Description Position at CFO Services *** DO NOT APPLY! THIS IS A TEST JOB POSTING We are looking for a candidate who can work full-time with a flexible schedule based on operating hours. Our ideal candidate is someone who has these qualities: Positive Attitude. You approach work in a cheery and optimistic way. Reliable & Dependable. You like to see a job well done and will ensure that things are done the “right” way. You show up for all scheduled shifts on time and ready to work. Self Starter. You are comfortable owning a task from start to finish and you take the initiative to make continuous process improvements. You observe strict deadlines and hold yourself accountable for your deliverables. Multi-Tasking Expert. You can work in a sometimes hectic workspace without getting flustered or losing your helpful personality What You'll Be Doing You will be the "go-to-guy" for all of our clients’ needs - from facilitating support requests to educating our clients about our product. You will create and maintain relationships with our clients via email, phone, text, and various social media channels. Our primary channel of communication is through email. You will foster a community of online and offline advocates. What We Are Looking For You are articulate. You have strong written, verbal and interpersonal skills. Even better, you practice empathy in all spheres. You will be happy to eloquently respond to at least 50 emails per day as well as taking calls from customers. Some of these emails will take only a few seconds to respond to while others may take longer for the perfect personal touch. You understand the importance of details. You don’t sweat the small stuff and thrive in a fast-paced and ever-changing environment, yet you have a keen ability to recognize nuance. You have experience with customer service, meeting sales targets and are excited to facilitate the ultimate customer experience. You are team-oriented. You understand the importance of a positive attitude, you are always seeking personal and professional growth and you are always there to lend a hand. Happy to work afternoon and evening shifts as required. Able to type at a minimum of 50 words per minute with 100% accuracy. What You Can Expect An inclusive, fun workplace filled with fantastic colleagues. The ability to work from home or from our head office Competitive pay and bonuses, as well as the opportunity to participate in our Employee Stock Option Plan. Comprehensive health benefits (including medical, dental, vision and life-insurance) after 90 days of successful employment. We are an Equal Opportunity Employer (EOE) and prohibit discrimination of any kind. We value diversity at our company and at all job levels our goal is to be diverse, inclusive and representative of the communities where we operate. "Neque porro quisquam est qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit..."

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Genedata , one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact . You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life. The biopharmaceutical industry is undergoing a digitalization revolution, adopting data-driven R&D approaches to develop innovative therapies quicker. Genedata’s market-leading enterprise software is fueling this revolution, enabling leading biopharma, biotech, and CRDMO companies worldwide to automate processes and leverage biopharma R&D data analytics so they can find breakthrough therapies faster. Join this digital transformation and help scientists around the world accelerate the pace of biopharma R&D. Learn about the Danaher Business Syste m which makes everything possible. About The Role Are you a translational, (pre-) clinical research scientist, or data scientist working for a biopharma organization or CRO, wanting to make a real impact on patient care? We are seeking to grow our highly innovative and interdisciplinary team in our East Coast Office and offer an exciting opportunity to support, shape, and promote a successful, cutting-edge software system widely applied in biopharmaceutical research. As an Application Scientist for the Genedata Profiler platform, you will be a key member of our dynamic team, empowered to have a significant impact on the continuous growth of our business. You will work with our partners in research across the entire drug R&D value chain, achieving their vision of precision medicine through leveraging the full power of clinical, phenotype, molecular, and imaging data. This includes consulting our customers to optimize their scientific data analysis workflows and using your scientific and technical knowledge to solve real-world scientific challenges. This full-time position is based in Lexington, MA and requires regular travel within the U.S. (about twice per month), and occasional travel to Europe. The salary range for this role is $80,000 to $130,000 . This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for bonus/incentive pay. Your Responsibilities Be the scientific expert related to multi-omics, biomarker, imaging, clinical data analysis in general and the use of our Genedata Profiler software in particular, Support Genedata Profiler implementation projects through user engagement, consulting, business process analysis, and solution design, Work with our Business Development team in establishing and communicating the value of Genedata Profiler to prospects and customers, Scope and perform customer data science projects and ensure results delivery at the level of excellence that our customers know us for, Identify new business opportunities in collaboration with the business team, Establish relationships with our customers by being their first contact and a partner on scientific and technical matters, Channel the insights gathered through your customer interactions back to our Development and Product Management team. Skills & Experience PhD or MS in bioinformatics, data sciences, health sciences, or related discipline, 3+ years’ experience in biomarker research, patient stratification, or companion diagnostic approaches, ideally working at a CRO, in a clinic or a pharmaceutical company, Solid experience working with phenotype, exploratory clinical, biomarker, and molecular data in research, Understanding of statistics and specific methods applicable to ‘omics and integrated research data, Presentation and communication skills: Present complex scientific and basic IT concepts to a multitude of stakeholders in training, workshop, or sales situations, Experience with scripting languages (preferably Python, R), Knowledge of pharmaceutical research and familiarity with biopharma research and development processes, Highly motivated self-starter with exceptional interpersonal and communication skills within a cross-functional environment, Entrepreneurial spirit with the ability to interact productively with scientists, managers, and IT experts both internally and externally as part of an interdisciplinary team. Must be legally authorized to work for any employer in the U.S. What We Offer Genedata is on a mission to accelerate the pace of biopharma R&D. Our enterprise software solutions digitalize and automate lab operations so scientists can discover insights faster, push scientific boundaries farther, and drive change right now. With over two decades of success due to closely-knit teams of scientists, software engineers, and business experts, Genedata has become the market-leading provider of enterprise software solutions for biopharma R&D. Each employee is encouraged to contribute to the operations and evolution of the company. Our collective expertise in scientific R&D informatics, combined with our open and scalable software platform, makes us the essential technology for the operations of top biopharma companies and innovative biotechs worldwide. We are headquartered in Basel, Switzerland and have subsidiaries in the US, Germany, UK, Japan, and Singapore. Genedata offers an attractive Total Reward Package comprised of a competitive salary and attractive benefits in return for your contribution to our success. As an equal opportunity employer, Genedata proudly celebrates diversity and believes in an inclusive workplace. Genedata , a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Next Steps Genedata does not accept applications from recruitment agencies. If you are interested in this position, please apply directly here. Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. The EEO posters are available here . We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at applyassistance@danaher.com to request accommodation.

The Director of Data Science & Analytics will lead StrongMind's enterprise-wide data strategy and analytics capabilities, playing a pivotal role in driving data-informed decision-making across StrongMind, Primavera Online Charter School, and Verano Learning Partners' affiliated non-profit organizations. This strategic leader will harness the power of data and artificial intelligence (AI) to foster innovation, improve educational outcomes, and empower business transformation. Key Responsibilities Strategic Leadership Design and implement a comprehensive data and AI strategy aligned with StrongMind's educational mission and business objectives. Partner with cross-functional executives to integrate data science and AI into decision-making and strategic planning. Translate complex educational and operational datasets into actionable insights that drive value and efficiency. Establish and lead data governance frameworks, in collaboration with C-Suite leadership, to ensure data quality, compliance, and security. Data Infrastructure & Architecture Provide hands-on leadership in building and maintaining a modern, scalable data architecture and AI agent infrastructure. Drive seamless integration of data from diverse systems and platforms to create a unified data environment. Build and maintain ETL/ELT pipelines and real-time analytics capabilities that support data-driven operations. Enable AI and machine learning applications through robust data infrastructure and automated workflows. Analytics & Reporting Ensure compliance with reporting requirements from the Arizona Department of Education and the State Board for Charter Schools. Responsible for owning the data pipeline end-to-end, from ingestion through transformation and all the way to reporting. That will help set expectations around accountability and technical depth. Support finance with automated reporting for enrollment, onboarding, retention, and forecasting. Lead development of teacher performance dashboards and key educational metrics. Identify data literacy gaps across the organization and design strategies and tools to address them. Oversee the collection, analysis, and communication of key metrics across all business and educational entities. Cross-Functional Collaboration Serve as a strategic liaison between executive leadership and technical teams to align data and AI initiatives with business goals. Collaborate with Operations, Development, and Product teams to embed analytics and AI into solutions and services. Advise senior leaders on leveraging AI and advanced analytics to drive innovation and continuous improvement. Participate in cross-functional planning and project coordination to ensure data and AI capabilities are integrated across departments. Minimum Required Skills 4+ years of advanced SQL experience (must be comfortable writing complex queries; Snowflake experience a plus) 2+ years of hands-on dbt experience in production environments 4+ years working with messy, dirty, or unstructured data with demonstrated expertise in data cleansing and transformation. Strong understanding of data modeling, pipeline architecture, and owning the data journey end-to-end (from ingestion through to reporting) Preferred Tools and Technologies Cloud Platforms : AWS (e.g., Redshift, S3, SageMaker), Google Cloud, or Azure Data & Analytics : Snowflake, Power BI, Tableau, Looker Languages & Frameworks : Python, SQL, R, PySpark, dbt AI/ML Technologies : TensorFlow, scikit-learn, LangChain, OpenAI API, Vertex AI Data Engineering & Orchestration : Airflow, Kafka, Fivetran, dbt, Databricks Version Control & DevOps : GitHub, CI/CD pipelines, Docker, Kubernetes "More Than a Workplace – A Place to Belong!" At StrongMind/Primavera , we believe that work should be fulfilling, rewarding, and even fun! That’s why we offer a supportive , collaborative environment filled with perks that prioritize your well-being —from an onsite gym, personal trainers , and mindfulness coaching to weekly massages to help you reset. We also offer a full benefits package including medical, dental, vision, PTO, and voluntary benefits, because taking care of you is important. And our workplace culture ? It’s second to none! What You’ll Love: A full paid holiday week at Christmas – time to rest, relax, and recharge. Weekly team celebrations & shoutouts – because your hard work matters! Quarterly town halls – keeping communication open, honest, and transparent. Champion spotlights – celebrating those who make a difference. Flexible & hybrid work options (for select roles) – work-life balance is key. Delicious perks – cookouts, Thursday treats, and awesome social events. Community service hours – giving back feels great. Legendary milestone awards at 10, 15, & 20 years – unforgettable experiences await! Plus, even more benefits to explore – because we believe in rewarding our people in meaningful ways. We’re more than just a workplace—we’re a community that celebrates you. Join us and experience a company that truly cares. We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas. The company will provide equal consideration to all qualified applicants for employment without regard of race, religion, color, sex, gender, national origin, age, veteran status, marital status, or disability protected by law. 5/20/2025 JD updated

Graduate Management Admission Council (GMAC™) is a mission-driven organization, with a vision to be the global leader in ensuring every talented person can benefit from the best business education for them. The organization’s priority is to heighten its impact in promoting graduate management education and attracting a qualified and diverse candidate pool from around the world. The Director, Research and Data Science is responsible for overseeing the department and supporting the Council’s commitment to disseminating actionable and relevant information about the management education community. FLSA Status: Exempt Report to: Senior Vice President, School & Industry Engagement GMAC’s value proposition offers our talented employees the ideal climate for innovation, and colleagues who are motivated and proactive, with diverse backgrounds and approaches. As a global organization, we understand and appreciate the benefits of myriad cultural perspectives. GMAC is wholly committed to recruiting, developing, and retaining a diverse group of talented people, and providing equal employment opportunities to all employees and applicants without regard to the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, disability, sex (including pregnancy, childbirth, and related medical conditions), marital status, veteran status, sexual orientation, gender identity, genetic information, or any other characteristic protected by applicable federal, state or local laws.

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.   We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.   Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. Lucid is seeking a data-driven Data Science Manager, Talent Acquisition to lead a team of Data Analysts, driving innovation and efficiency across our growing global TA Analytics and Data Insights function. You will build and manage the end-to-end recruiting analytics process, ensuring data integrity, optimizing operational efficiencies, and delivering strategic insights to inform recruiting and broader business decisions. This role requires strong data science expertise, knowledge of TA or People functions and processes, as well as the ability to lead teams and align work with business strategy. This is an excellent opportunity for an experienced Data Science Lead or Manager with experience in People Analytics or Recruiting Operations.   This is a hybrid role based out of our Headquarters in Newark, CA.   You Will:   Build and own the end-to-end analytics strategy for global TA, aligning data initiatives with business priorities and workforce planning needs.   Lead, grow, and develop the team of Data Analysts driving innovation and measurable impact across the Talent Acquisition lifecycle.   Design and operationalize advanced analytics solutions, including predictive models, funnel diagnostics, and automation tools that improve sourcing, selection, and hiring outcomes.   Define and evolve TA KPIs, metrics, and success frameworks, ensuring they support business goals, DEI commitments, and operational excellence.   Oversee the development and automation of scalable reporting infrastructure using Tableau and other BI tools, enabling real-time insights and self-service analytics for global recruiting teams.   Provide executive-level insights and storytelling that influence strategic decisions on headcount planning, talent marketing, and recruiter performance.   Ensure end-to-end data integrity across systems by partnering with business owners, IT teams, and external vendors to resolve inconsistencies and drive data governance.   Lead cross-functional initiatives with People Analytics, HR Tech, and Talent Operations to scale data-informed recruiting practices and improve stakeholder experience.   Establish rigorous QA and data audit processes, proactively surfacing risks, data gaps, and training needs to TA leadership.   Champion ethical and responsible use of data, particularly in areas like candidate experience, fairness in AI, and DEI hiring analytics.   Research, evaluate and innovate where AI can be utilized to progress TA analytics at Lucid long term   You Bring:   8+ years of relevant data science experience in People Analytics, Talent Acquisition Analytics, Business Intelligence, or Recruiting Operations.   Proven experience leading data science or analytics teams, ideally within Talent Acquisition, HR, or People. Ideally designing a Talent Analytics ecosystem from the ground up.   Deep expertise in statistical analysis, predictive modeling, and machine learning, with a strong ability to translate findings into business impact.   Advanced proficiency in Python, SQL, and data visualization tools (e.g., Tableau, Power BI); familiarity with data pipeline tools and cloud platforms (e.g., Airflow, Snowflake, AWS/GCP).   Strong understanding of Recruiting metrics, including experience with Applicant Tracking Systems (ATS) such as Greenhouse, SAP SuccessFactors, or LinkedIn Recruiter & Insights (a plus).   Demonstrated ability to influence leaders and cross-functional stakeholders and translate complex data into clear, actionable recommendations.   Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics or related field. Masters or PhD in related field preferred.   Salary Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.   Additional Compensation and Benefits : Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Base Pay Range (Annual) $167,200 — $245,190 USD By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice . If you are a California resident, please refer to our California Candidate Privacy Notice . To all recruitment agencies : Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.   

Turn it up to 11 as a Data  Scientist !   Elevens, as we call ourselves here, are passionately curious, highly collaborative, and unabashedly authentic. At Inspire11, we believe everyone drives change, everyone takes ownership of their career, and no idea is too odd to embrace. Our team learns from each other by pushing the boundaries of what’s possible.  We partner with our clients to define their strategies to optimize their business in all things data and digital. Whether that be modern data architecture, custom application development, or design thinking, and this is just scratching the surface. We are a team of puzzle solvers who take the various pieces that the client already has and assemble them in a way that reveals the bigger picture.  We believe that the most impactful and innovative work includes and fosters a range of diverse perspectives. We’ve created a work environment in which you can expect:  Individualized Professional Growth:  You will have the opportunity to engage in growing the team and there are ample opportunities to define your path and develop your skillset Work life balance: We are respectful of people’s boundaries and have unlimited time off so that our team has time to recharge and do their best work. We understand that our team members have different needs and we do our best to work with their schedules while accommodating client needs  Vibrant company culture:  We love to keep things light-hearted, both within our client work and at companywide events  What you can expect in this role: Conduct detailed analyses to understand and explain business problems and utilize standard analysis skills Create clear and actionable Data Science roadmaps and supporting business cases Communicate Data Science methodologies to non-technical audiences Work with digital design and engineering practices on end-to-end solutions Identify the right data science and machine learning solution for the client’s problem Tools for success: At least 2 years of Data Science experience Fluent in SQL and Python Experience seeing through a data science project from scoping to solution Fundamental knowledge of advanced analytics topics such as probability, hypothesis testing, research design, and machine learning algorithms Experience communicating your results visually Experience deploying models into a cloud environment Experience building applications that leverage GenAI/LLMs   This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships. Please note employees must be authorized to work for any employer in the U.S. Inspire11 is unable to sponsor or take over sponsorship of an applicant’s employment visa. Compensation Range for Associate Consultant to Managing Consultant:  $68,086 - $178,210 For more information regarding our compensation and benefit offerings please see below: U.S. Compensation & Benefits  Compensation at Inspire11   Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.   Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.  Bonuses   We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.   Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team, Market Directors, and Managing Directors will work together to grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.   Options or Other Equity in Inspire11  Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.  Benefits   Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:   Medical insurance plans,  Dental insurance plans, and  Vision insurance plans.  Full-time employees are eligible for the following benefits provided wholly by the Company:  Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period;  Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67;  Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;   A connectivity stipend of $25 per month;  Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.  Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions on the first 3% of an employee’s salary and 50% of employee contributions from 3% to 5% of an employee’s salary.  Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:   Flexible savings accounts,  Limited-purpose flexible savings accounts,  Healthcare savings accounts,   Dependent care savings accounts,  Commuter benefit accounts.  Paid Time Off and Leave  Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.   In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.   The Company also gives paid parental leave to full-time employees who have worked for Inspire11 for a year prior to taking leave, including up to 12 weeks of paid parental leave to birth parents and up to 6 weeks of paid parental leave to non-birthing parents. This paid leave can be taken within the first 6 months after the child’s arrival and is in addition to short-term disability leave (for eligible parents).  Lastly, Inspire11 has eight paid holidays.  Other Benefits  Inspire11 also maintains other programs that provide additional benefits to employees, such as:   Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year.  Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval.  Regular gifts of Inspire11 clothes, office items, and swag.  Disclaimer  This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.  Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.  EEOC Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Turn it up to 11 as a Data  Scientist !   Elevens, as we call ourselves here, are passionately curious, highly collaborative, and unabashedly authentic. At Inspire11, we believe everyone drives change, everyone takes ownership of their career, and no idea is too odd to embrace. Our team learns from each other by pushing the boundaries of what’s possible.  We partner with our clients to define their strategies to optimize their business in all things data and digital. Whether that be modern data architecture, custom application development, or design thinking, and this is just scratching the surface. We are a team of puzzle solvers who take the various pieces that the client already has and assemble them in a way that reveals the bigger picture.  We believe that the most impactful and innovative work includes and fosters a range of diverse perspectives. We’ve created a work environment in which you can expect:  Individualized Professional Growth:  You will have the opportunity to engage in growing the team and there are ample opportunities to define your path and develop your skillset Work life balance: We are respectful of people’s boundaries and have unlimited time off so that our team has time to recharge and do their best work. We understand that our team members have different needs and we do our best to work with their schedules while accommodating client needs  Vibrant company culture:  We love to keep things light-hearted, both within our client work and at companywide events  What you can expect in this role: Conduct detailed analyses to understand and explain business problems and utilize standard analysis skills Create clear and actionable Data Science roadmaps and supporting business cases Communicate Data Science methodologies to non-technical audiences Work with digital design and engineering practices on end-to-end solutions Identify the right data science and machine learning solution for the client’s problem Tools for success: At least 2 years of Data Science experience Fluent in SQL and Python Experience seeing through a data science project from scoping to solution Fundamental knowledge of advanced analytics topics such as probability, hypothesis testing, research design, and machine learning algorithms Experience communicating your results visually Experience deploying models into a cloud environment Experience building applications that leverage GenAI/LLMs This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships. Please note employees must be authorized to work for any employer in the U.S. Inspire11 is unable to sponsor or take over sponsorship of an applicant’s employment visa. EEOC Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status

Turn it up to 11 as a Data  Scientist !   Elevens, as we call ourselves here, are passionately curious, highly collaborative, and unabashedly authentic. At Inspire11, we believe everyone drives change, everyone takes ownership of their career, and no idea is too odd to embrace. Our team learns from each other by pushing the boundaries of what’s possible.  We partner with our clients to define their strategies to optimize their business in all things data and digital. Whether that be modern data architecture, custom application development, or design thinking, and this is just scratching the surface. We are a team of puzzle solvers who take the various pieces that the client already has and assemble them in a way that reveals the bigger picture.  We believe that the most impactful and innovative work includes and fosters a range of diverse perspectives. We’ve created a work environment in which you can expect:  Individualized Professional Growth:  You will have the opportunity to engage in growing the team and there are ample opportunities to define your path and develop your skillset Work life balance: We are respectful of people’s boundaries and have unlimited time off so that our team has time to recharge and do their best work. We understand that our team members have different needs and we do our best to work with their schedules while accommodating client needs  Vibrant company culture:  We love to keep things light-hearted, both within our client work and at companywide events  What you can expect in this role: Conduct detailed analyses to understand and explain business problems and utilize standard analysis skills Create clear and actionable Data Science roadmaps and supporting business cases Communicate Data Science methodologies to non-technical audiences Work with digital design and engineering practices on end-to-end solutions Identify the right data science and machine learning solution for the client’s problem Tools for success: At least 2 years of Data Science experience Fluent in SQL and Python Experience seeing through a data science project from scoping to solution Fundamental knowledge of advanced analytics topics such as probability, hypothesis testing, research design, and machine learning algorithms Experience communicating your results visually Experience deploying models into a cloud environment Experience building applications that leverage GenAI/LLMs   This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships. Please note employees must be authorized to work for any employer in the U.S. Inspire11 is unable to sponsor or take over sponsorship of an applicant’s employment visa. EEOC Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status

About CookUnity Food has lost its soul to modern convenience. And with it, has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 35 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role Managers at CookUnity partner with other leaders across the organization to build teams, develop individuals, and bring analytical excellence to help drive the iterative product lifecycle. They're also experts in their areas, using their knowledge and experience to create the space for others to succeed whilst maintaining 70/30 hands-on to contribute directly to our learning and growth. They embed within teams they support, achieving a marriage of minds with their stakeholders and an integration of objectives and workflows of. They work across the team with business, product, and marketing managers, to create data about user behaviors, discover unmet needs, set metrics that measure performance, and design & execute experiments to generate learnings and evidence their success. Where needed, they leverage machine learning methods as the basis of even deeper insights, uncovering patterns in user behavior that the human mind simply cannot process (e.g. through unsupervised learning). We're looking for a Manager, Growth Data Science & Analytics, with a focus on growth, eater activation, and resurrection to join our team. As a result of your guidance and strategic direction, you'll help advance our Growth team's capabilities, applying scientific rigor to inform, strategize, and optimize our already steep growth trajectory. What you'll do Lead and mentor a high-performing team of Marketing analysts, fostering their professional development, collaboration, and analytical expertise Conduct in-depth analysis of marketing data from diverse sources, including digital, offline, social media, CRM, and brand, to identify actionable insights and trends Develop and implement sophisticated statistical models and forecasting techniques to evaluate marketing performance, predict outcomes, and optimize marketing investments Collaborate closely with Marketing partners on leveraging advanced analytics solutions, including MMM, MTA, and LTV optimization, ensuring data-driven decision-making across marketing initiatives Communicate complex insights clearly and persuasively to senior leadership, providing data-driven recommendations to improve business performance and collaborating with Marketing leads to develop growth strategies Core Competencies Experience developing and working with marketing measurement solutions, including MMM and MTA models, causal inference, forecasting, LTV, churn, and segmentation Experience across Brand and Performance Marketing measurement High autonomy in partnering with non-technical stakeholders with strong communication skills at various levels High autonomy in executing to produce insights using data with expert proficiency in SQL, Python/R, and Tableau/Looker High agency and growth mindset Year of experience 5+ years of experience in Marketing Analytics managing complex analytics projects At least 2 years managing teams of analysts and data scientists At least 2 years in a growth team (in any capacity) Benefits Health Insurance coverage 401k Plan We grow, you grow: Stock Options Plan granted on Day 1 Eligible for a bi-annual performance bonus Unlimited PTO ️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical Family leave: 12 weeks for primary caregiver and 6 weeks for secondary caregiver, fully paid Compassionate Leave: 3-5 days each time the need arises A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly ️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle Personalized Spanish coach Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Pay Range for this position $190,000-$200,000 USD If you're interested in this role, please submit your application and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world's leading brands. Brilliant media thinking is in our DNA. A culture of thought-leadership, creativity and innovation has seen us grow from a challenger agency in the UK, to a global leader with over 6,000 employees in over 100 offices worldwide. We combine the latest industry insight with the best creative minds to produce planning innovation and create award-winning work for some of the world's largest advertisers. Finding a better way is our ethos and sums up how we approach everything - from a new client brief to the way we work. PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world's leading brands. Brilliant media thinking is in our DNA. A culture of thought-leadership, creativity and innovation has seen us grow from a challenger agency in the UK, to a global leader with over 6,000 employees in over 100 offices worldwide. We combine the latest industry insight with the best creative minds to produce planning innovation and create award-winning work for some of the world's largest advertisers. Finding a better way is our ethos and sums up how we approach everything - from a new client brief to the way we work. At PHD, we provide our clients with powerful and innovative media strategies, along with big ideas that are driven by insights. PHD Data Scientists deliver analytic solutions across a wide variety of client applications and help brands to connect better with the customers. They process and integrate big data in data clean rooms from media advertising platforms including the first party and the third-party data and support business insights and growth solutions. Our data scientists build advanced predictive models utilizing machine learning and advanced statistic. PHD data scientists leverage data to address various types of marketing challenges such as audience creation, segmentation, identifying audience journey, optimization, digital attribution, customer retention, customer behavior prediction, and cross channel customer experience. Role Overview: We are currently seeking a Senior Director to join our Data Science team. The ideal candidate will be a data science leader with the responsibility of managing expectations of internal and external stakeholders, performing predictive modeling and data queries across a multitude of platforms in Advertising and Marketing Technology domains. You will develop compelling actionable insights through quantitative analysis, innovative thinking, and storytelling with data. You will contribute to the delivery of smart marketing and strategic advice through the combination of data & insights gleaned through statistical and machine learning models, as well as data mining. By applying machine learning and data query methods, you will be a liaison between data and our client's decision-making process. You will also inform internal and external stakeholders and prospective clients on ways of improving business processes. Areas of Responsibility: Maintain a productive relationship with clients at the peer level or higher to ensure they are informed of any new activities or updates to existing projects Participate on multi-disciplinary project teams developing marketing strategies for existing customers, as well as prospective clients Coach and manage the learning path of other Data Science team members by standardizing processes and owning documentation Present complex reporting, models, and dashboards of technical work to both informed and uninformed audiences through data storytelling to support media investment Set up analysis parameters in partnership with Advertiser, Media Strategy and Digital Investment team Build modeling and machine learning capabilities by deploying algorithms on top of our vast number of datasets, e.g., clustering, look-a-like modeling Support Digital Attribution and Advertising Lift models built in data clean rooms Evaluate model performance to determine cut-off points and audience targeting pools for deployment, e.g., lift charts Obtain data from various sources, including but not limited to Amazon storage service S3, Omnicom 3P data partnerships, data clean rooms from walled-gardens, e.g., Google Ads Data Hub, Facebook Advanced Analytics, Amazon Marketing Cloud Deploy scalable solutions to our cloud-based infrastructure to process, visualize and analyze data Requirements: 10+ years of experience with predictive modeling, databases, computational simulation, clustering, machine learning, and remote computing in academia or industry 8+ years of industry experience with Python, SQL, R, and other similar statistical computing environments Very strong written and verbal communication skills; thrive in a rapidly evolving environment Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing Graduate degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields Experience working in high volume data bases, utilizing quantitative techniques to solve problems such as campaign analysis, optimization, customer segmentation, and/or predictive modeling (New graduates will also be considered depending on their educational background and academic record) Strong command of statistical techniques and concepts Strong attention to detail A strong desire to learn and passion for digital marketing, research and analytics Ability to work well with others and work in cross functional teams Ability to manage and prioritize a number of concurrent tasks in a fast-paced environment #LI-CC1 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits. Compensation Range $180,000-$220,000 USD This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs. Review Our Recruitment Privacy Notice

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Are you a driven graduate student eager to make a real impact at a cutting-edge technology company? Xometry's Summer Internship Program offers a unique opportunity to gain hands-on experience and develop advanced skills in the rapidly evolving world of digital manufacturing. We're looking for a passionate and talented Data Science Intern (Master's/PhD) to join our team! What You'll Do: As a Data Science Intern at Xometry, you'll contribute to projects that leverage advanced analytical techniques to optimize our manufacturing processes, improve customer experience, and drive business decisions. You can expect to work in an environment that encourages innovation and provides hands-on experience in applying cutting-edge data science techniques to real-world challenges.You will: Develop and implement advanced statistical models and machine learning algorithms for tasks such as demand forecasting, predictive maintenance, or supply chain optimization. Conduct in-depth data analysis to identify trends, patterns, and insights from large datasets related to manufacturing operations, customer behavior, and market dynamics. Design and execute experiments to evaluate the effectiveness of different data-driven strategies. Collaborate with engineers, product managers, and business stakeholders to understand business needs and translate them into impactful data science solutions. Contribute to the development of data pipelines and infrastructure for data science applications. Communicate complex technical findings clearly and effectively to both technical and non-technical audiences. Potentially contribute to research and publications related to your work. What We're Looking For: Academic Excellence: Currently enrolled in a Master's or PhD program at an accredited college or university, graduating in December 2025 or May 2026, with a strong academic record. The ideal candidate will be pursuing a Master's or PhD degree in: Data Science, Statistics, Machine Learning, or a related quantitative field. Technical Skills: Strong foundation in statistical modeling, machine learning, and data mining techniques. Proficiency in programming languages (e.g., Python, R) and data visualization tools. Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable. Research Experience (PhD candidates): Experience conducting independent research and contributing to publications is a plus. Strong Work Ethic: Ability to work full-time (40 hours/week) during the internship period (June 9 - August 15, 2025). Excellent Communication Skills: Strong verbal and written communication skills, including the ability to explain complex technical concepts clearly and concisely to both technical and non-technical audiences. Problem-Solving Skills: A strong analytical mindset and a passion for problem-solving. Legal Authorization: Ability to provide proof of legal right to work in the United States.Loca tion Requirement: Ability to commute to our Lexington, KY or North Bethesda, MD office to work onsite for at least 3 days a week. Provide Unofficial Transcript #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Title: Data Science and Analytics Location: New York Duration: 3 Months Required Skills: • Website/mobile (Adobe Analytics) • Data Visualization: advanced Excel, Tableau, Power BI • Marketing Automation • Adobe Test & Target Preferred Skills: • Adobe Analytics • Adobe Test & Target • Marketing Automation Who are you? • Bachelor’s degree, in Marketing, Business, • 8-10+ years of work experience in a quantitative business environment with 5+ years in marketing analytics • Passion for digital analytics, working with data and deriving insights to answer client business questions • Experience leading and delivering marketing analytics engagements • Strong knowledge of the digital space and digital analytics • Strong communication and client service skills • Strong organizational skills and attention to detail • Strong consultative skills and the ability to challenge status quo and gain adoption • Comfortable with working in and contributing to a fast-paced, team-based environment • Management or mentorship experience - providing training, project support, career advice and delegated responsibilities • Proven ability to influence stakeholder and senior leaders, and manage organizational change • The candidate should be a hybrid of analyst, but also storyteller. • Being able to distill data into keen, actionable insights. • They need to be able to synthesize the data. So we need someone who is an excellent verbal and written communicator

Job Title: Senior/Manager Data Science & Analytics Location: New York, NY Duration: 6 Months + Extension No of positions: 2 (1 senior consultant and 1 Manager) Requirements: •3+ years of experience with campaign targeting, segmentation, test design/learning plans, reporting and optimization of: •CRM channels (email, Push Notifications) •Engagement data (email opens/clicks, push notifications taps, web visits and clickstream) •Account data (first and 3rd party), including demographics •Transactional data (product registrations, eComm, offer redemption) •Website/mobile (Adobe/Google Analytics) •Data science language skills: •SQL •Data visualization: advanced Excel, Tableau, Power BI •Does NOT need R, Python, Data modeling, Data mining, etc. •Customer database experience will be very helpful Note: If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.

Tiger Analytics is an advanced analytics consulting firm that partners with some of the largest global organizations to turn data into actionable insights. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences. If you are passionate about leveraging data science to address critical challenges in the Pharma & Life Sciences sector, this role is an excellent fit for you. Join us in revolutionizing the healthcare landscape through advanced analytics. Responsibilities Lead and manage data science projects from ideation to execution, ensuring that they meet client needs and deliver impactful results. Work closely with clients to understand their business challenges and translate them into data-driven solutions. Develop and implement advanced analytics models, including predictive and prescriptive analytics, to drive business improvement initiatives in the Pharma & Life Sciences domain. Utilize a variety of data sources, such as patient data, clinical data, and market intelligence, to generate actionable insights. Collaborate with cross-functional teams, including data engineers and business stakeholders, to ensure successful deployment of data science solutions. Mentor and guide junior data scientists and analysts, fostering a culture of learning and innovation. Present findings and recommendations to executive-level stakeholders, effectively communicating complex concepts in a clear and compelling manner. Stay updated on industry trends, emerging technologies, and advanced analytics methodologies, and share knowledge with the team. Requirements 8-12 years of professional experience in data science, analytics, or a related field, with significant exposure to the Pharma & Life Sciences sector. Strong proficiency in statistical analysis, machine learning techniques, and data mining methodologies. Hands-on experience with programming languages such as R, Python, and SQL, as well as familiarity with data visualization tools like Tableau or Power BI. Proven ability to work with large datasets and perform complex data analyses. Excellent project management skills and the ability to manage multiple projects and priorities effectively. Strong problem-solving skills and a detail-oriented mindset. Experience in communicating analytical results to senior management and facilitating decision-making processes. Master's degree or higher in Data Science, Statistics, Computer Science, or related field is preferred. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

This job is posted in multiple locations. When not at a client site, consultants work from their home office. Relocation is not required. Clarkston Consulting is seeking motivated, self-driven leaders who are energized by team results and interested in joining a firm that values its culture and people as its biggest strengths. Come join us as a Data Science Senior Consultant, and in this role, you will deliver creative business solutions to our market-leading clients in the life sciences, consumer products, and retail industries. Together, we can find the answers to our clients' most challenging business problems through a combination of our industry expertise, business process knowledge, and consulting excellence. What You’ll Do As a Data Science Senior Consultant at Clarkston, you will: Conduct exploratory analysis, produce descriptive statistics and explain phenomena based on data  Develop statistical and machine learning models for POC and production-ready applications  Drive ideation, execution of experiments, and in-market tests   Provide coaching and mentorship to junior analysts    How You’ll Grow Beyond your day-to-day responsibilities, throughout your career at Clarkston you will: Have the support and mentorship of your Clarkston colleagues and leaders Expand your existing skill set with internal and external professional development opportunities Requirements What We’re Looking For: At least 3 years of data science experience, preferably in a consulting environment  Experience drawing insights from large data sets and manipulating data using a variety of methods and tools  Solid base understanding of statistical techniques around correlation, regression, outlier detection, and significance  Strong experience building end-to-end predictive models, including parametric and non-parametric  Highly skilled in utilizing LLM (Large Language Models) tools  Experience using a variety of machine learning techniques for supervised and unsupervised learning that highlights the real-world advantages/drawbacks, including classification, regression, time series forecasting, clustering, and other use cases  Experience optimizing, testing, and documenting results of machine learning models  Knowledge of common machine learning pitfalls and how to avoid them, including normalization, feature selection, optimization, and validation  Experience querying databases and strong familiarity with SQL and Python  Knowledge of tasks access production environment and maintain results: analyzing model drift, version control, security strategy, monitoring and alerts  Understanding of the resource landscape with the ability to research and form opinions around the best vendor solutions for our clients  Ability to share your technical solutions and product ideas with the team through design review, pair programming, code/model reviews, and tech conversations  Masters or PhD in Math, Statistics, Engineering, or other relevant field for data science applications  Travel Requirement Travel is an integral part of this role and is estimated to average 30-50%. This may vary based upon client and project needs. When not traveling, consultants work from their home office. Relocation is not required. More About Clarkston Founded in 1991, Clarkston Consulting delivers technology and management solutions to market leaders in the life sciences, consumer products, and retail industries. At Clarkston, we cultivate success - for our clients, for our people, and for our firm. We utilize a team approach leveraging our collective expertise and industry knowledge to solve our clients’ business challenges. Benefits Our benefits include: Comprehensive Health and Wellness Benefits (Medical, Dental, Vision, and more) 401k with company contributions Paid vacation, personal days, holidays, and sick leave Paid Parental Leave and Family Building Benefits (Adoption, Surrogacy, and Infertility Support) Life and Disability Insurance Training and Professional Development investments, Tuition Assistance, and more Visit Careers at Clarkston to learn more about our culture, benefits, and opportunities. Clarkston Consulting is an equal opportunity employer. We are committed to ensuring our firm is rich in diverse skills, competencies, strengths, personalities, and culture. We foster an inclusive environment that embraces the unique contributions of our people to further our purpose. Please visit Diversity @ Clarkston to learn more about our diversity initiatives.

We're looking for experienced leaders to join our data science org who are excited about the challenges that come with rapid growth, and passionate about connecting people together through a positive and inclusive culture. As the Data Science Manager on our team, you'll work closely with stakeholders as well as leaders, and the broader data science team to deliver strategic insights and build data products that will optimize our go-to-market activity. These positions function more like a tech lead role, where you'll oversee a small team while also remaining actively hands-on. This is a full time role that can be held from one of our US hubs or remotely in the United States. We are seeking an experienced Data Science Manager to join and lead the Sales Data Science Team. In this role, you will be responsible for delivering customer focused insights, building the infrastructure and tooling to scale data access across a rapidly growing sales team, and deploy advanced models to improve our targeting and efficiency. The ideal candidate will have a strong track record of executing analytical projects, creating compelling data stories and visualizations, and communicating across diverse technical and non-technical audiences. What you'll do at Figma: Take a hands-on approach to tackle a subset of problems and provide detailed analysis. Manage, support and grow a diverse team of data scientists who own all aspects of data within the Sales organizations Partner with Sales leadership to set strategy, priorities, and mission for teams and projects Develop and refine more advanced statistical modelling around lead scoring, cross-sell modelling, and uplift modelling. Foster a data driven culture by elevating metrics reporting and understanding Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization Establish a vision for the team. We'd love to hear from you if you have: 5+ years of experience collaborating with sales teams, building models and conducting strategic analysis to fuel growth 2+ years of experience managing high output business oriented sales data science teams Proven track record of influencing functions and shipping high-quality data products that support organizational objectives Firm knowledge around statistical methods, including lead scoring, experimentation, and attribution modeling Proficiency in leveraging data and metrics to guide business decisions While not required, it's an added plus if you also have: A desire to build an inclusive and diverse culture Experience scaling teams in high growth environment Read more about our team: https://www.figma.com/blog/cross-functional-data-science-user-research-figma/ https://www.figma.com/blog/how-we-use-data/ https://www.figma.com/blog/from-experiment-to-launch-how-data-shaped-a-new-comments-experience/ At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be a key player in using data and scientific techniques to enhance Asana’s marketing effectiveness. You will work closely with marketing leadership and the wider Asana data community, unearthing new opportunities to advance our marketing capabilities and efficiency. You will lead a team of data scientists, collaborating with marketing leadership to influence overall marketing strategy. Your enthusiasm for mentoring and leading a team will be matched by your drive to solve complex technical challenges. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve: Propel the Marketing Data Science team in executing its roadmap aimed at enhancing marketing initiatives, including projects like Lead Scoring, Media Mix Modeling (MMM), Multi-touch Attribution (MTA), and Spend Optimization. Lead and nurture a team of over four data scientists at varying levels, guiding their professional growth and expanding the team as necessary for ongoing business success. Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach. Take on a leadership role within the broader Asana Data Community, interacting with other Data Science teams, Data Engineering, and Analytics, along with MarketingOps and Paid Media teams that heavily rely on data outputs. Educate partners on emerging capabilities in the marketing data science space, acting as an advocate and guide to demonstrate its potential benefits. About you: Over 5 years of experience in a comparable data science role. At least 2 years of experience in managing a team of at least three data scientists. More than 4 years of experience collaborating with Marketing functions on projects like Multi-touch Attribution (MTA), Media Mix Modeling (MMM), geo-based testing, Spend Optimization, and Life-Time Value Modeling (LTV). Extensive track record in developing and implementing scalable machine learning solutions and data products that align with our business’s evolving needs. Strong expertise and proven experience in orchestrating data-driven marketing strategies. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $258,000 - $328,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences. These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. About us Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor’s and Inc.’s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture. With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. 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The Core Data Science team owns a suite of products that provide actionable insights to the on-vehicle software teams. In particular, our scenario search tools are used by teams developing and validating Zoox's on-vehicle AI stack to estimate and analyze event rates at scale, enabling the launch of an autonomous mobility service. Our team also works closely with dedicated Data Science teams to develop key driving behavior metrics and direct new feature development, using large scale data from our autonomous driving fleet and simulations. You are a good fit for our team if you are a software engineer with a propensity for big data analysis, or a data engineer / scientist with an understanding of and enthusiasm for sound software engineering practices. You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to a uniquely valuable data set in the autonomous vehicle industry. In this role, you will: Collaborate with our software and systems engineering teams to build and support core scenario search capabilities for Zoox Work alongside our data engineering and data science teams to develop and use robust large scale data solutions Identify key areas of investment for our vehicle software teams Establish best practices and processes around data-driven decision-making Qualifications Extensive experience with large-scale data processing frameworks, with preference for Spark or Hadoop Software development experience in a production environment, with preference for Scala, Python, or Java; or demonstrated experience learning new programming languages Familiarity with any version control system, with preference for Git Experience designing metrics and building mechanisms that deliver robust, actionable insights Good communication and collaboration skills Bonus Qualifications Experience training and deploying ML models to large scale production use cases Basic familiarity with C++ Experience with geospatial data analysis Familiarity with or exposure to experimentation platforms Basic familiarity with any autonomous vehicle competency, e.g. perception, localization, prediction, planning, or controls Compensation: There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $192,000 to $273,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.