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By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Pharmaceuticals USA, Inc. for the following job opportunity: JOB LOCATION: Lexington, MA POSITION: Data Science Engineer POSITION DESCRIPTION : Takeda Pharmaceuticals USA, Inc. is seeking a Data Science Engineer with the following duties: Design, build, and maintain scalable and reliable data pipelines to collect, process, and store large volumes of structured and unstructured data from various sources (e.g., sales, marketing, patient data, healthcare providers, etc.); Ensure seamless data integration between internal systems (CRM, ERP, financial systems) and external healthcare/pharma datasets (IQVIA, Symphony, Veeva, etc.); Automate data ingestion and transformation processes using ETL/ELT tools; Define data engineering techniques and best practices for data transformation, data integrity, test design, validation, and documentation; Integrate commercial data (sales, claims, prescription, payer data) with internal data sources (MDM, marketing campaigns, sales force activities, etc.) for better business insights; Collaborate with data analysts, data scientists, and business intelligence teams to understand data requirements and translate them into scalable data solutions; Regularly review and improve data processing efficiency, addressing bottlenecks in data pipelines and ensuring system reliability; Developing chatbots and virtual assistants (e.g., using GPT-4 or AWS Bedrock) to support field sales teams, HCP interactions, or customer service, automating responses to frequently asked questions, or personalizing HCP engagement. Up to 50% remote work allowed. REQUIREMENTS: Bachelor’s in a Computer Science, Information Systems, or data related field plus 5 years of related experience. Prior experience must include: Work as Data Engineer Consultant for major U.S. Healthcare industries for 5 years; Lead a data team in migrating commercial healthcare data across multiple countries from Salesforce to Veeva application for a major U.S. biotech company; Design data pipelines using Unix Shell scripts, Oracle PL/SQL to help a major U.S. biotech company launch their new product and implement a new REMS module in TrackWise, as required by FDA; Implement the Reltio MDM process across multiple countries for a major U.S. healthcare company, enhancing data management efficiency and ensuring uniformity, accuracy, and improved data quality. Full time. $153,000 - $228,000 per year. Competitive compensation and benefits. Qualified applicants can apply at https://jobs.takeda.com . Please reference job # R0149630 . EOE Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210. Locations Lexington, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time

Position Summary... What you'll do... Manage a team of data science and machine learning engineers to develop and deploy traditional data science and Gen AI applications supporting the Walmart finance department. Build models that solves specific business outcome by training with massive amount of Walmart data utilizing open-source or in-house tools. Grow a team of domain experts of NLP, LLM , Timeseries Forecasting and recommendation systems in respective business domains in retail ; e-commerce. Drive execution of developing models and systems Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects. Remain up to date on ongoing research and development activities in the team Work withdata scientists to design, architect, and build AI/ML/DL model and model systems. Work with machine learning engineers to deploy, operate, and optimize scalable solutions About the Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll bring: Experience in NLP, LLM, Timeseries, Traditional ML techniques Experience in data science and machine learningfor retail ; e-commerce Experience in managing a mid-size internal team of data scientists and MLEs Experience leading and completing cross-functional projects Strong organizational skills including prioritizing, scheduling, time management, and meeting deadlines Strong influencing and interpersonal skills Detail and results-oriented with sense of urgency About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Benefits: Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. ‎ ‎ ‎ You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. ‎ For information about PTO, see https://one.walmart.com/notices . ‎ ‎ Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. ‎ Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. ‎ For information about benefits and eligibility, see One.Walmart . ‎ The annual salary range for this position is $110,000.00-$220,000.00 ‎ Additional compensation includes annual or quarterly performance bonuses. ‎ Additional compensation for certain positions may also include: ‎ ‎ - Stock ‎ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America

Description Position at CFO Services *** DO NOT APPLY! THIS IS A TEST JOB POSTING Data Scientist Job Responsibilities: Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data. Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges. Lead data experiments tasked by the Data Science Team. Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Develop and implement statistical models. Work with Machine Learning engineering team to implement model. Analyzes problems and determines root causes. Helps identify company data assets and assists in defining data models. Works closely with all business units and engineering teams to develop strategy for long term data platform architecture. Qualifications / Skills: Machine learning, regression analysis, statistical testing Feature engineering and data cleansing Advanced analytical knowledge of data Conducting big data analysis Data conditioning Programming advanced computing Developing algorithms Developing software and data models Executing predictive analytics Education, Experience, and Licensing Requirements: 5+ years of professional experience Proficient with one or more programming languages (Python, R, Java, C++, etc.) Experience working with TensorFlow, SciKit Learn, NumPy, SciPy Experience working with NLP and BERT Experience implementing deep learning Specific examples using LSTM, RNN, and SVM a plus Git experience and Kubernetes a plus Experience working in AWS or Azure Demonstrated experience applying data science methods Experience implementing agile approach to artificial intelligence algorithm development "Neque porro quisquam est qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit..."

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

Overview Black Canyon Consulting (BCC)  is actively looking for Senior Scientific Expert - Biomedical Informatics and Data Science to support the Office of the Director, Division of Extramural Programs (EP), at the National Library of Medicine (NLM).  This opportunity is part time consultant opportunity and offers a hybrid work option.  The Division of Extramural Programs provides policy guidance, program development, evaluation, coordination, and overall operational and administrative management for extramural programs provided by the National Library of Medicine.  Extramural Programs consists of the following organizational units: Office of the Director, Administration, Grants Management, Scientific Review, Program Management, and Committee Management. The Division’s activities have national and international impact on the extramural library and informatics community through grants and contract support of biomedical computing and information projects, including informatics/biomedical informatics research, resource grants (databases, information networks, internet connections, enterprise information systems, including the National Network of Libraries of Medicine), national programs in training for research in bioinformatics and data science, clinical informatics, health informatics, support of conferences, and Small Business Innovative Research grants; also supported are publication grants, primarily in the field of medical history. The Senior Scientific Expert in Biomedical Informatics and Data Science holds independent responsibility for strategic planning and science visioning within the Division of Extramural Programs, encompassing biomedical informatics and data science. Key duties include: Strategic Research Program Planning: Initiates, designs, and updates processes to identify research priorities aligned with NLM and NIH strategic goals. Leads analyses of biomedical informatics policy issues to shape research agendas and influence strategic plans. Conducts and analyzes Requests for Information (RFI) to identify research priorities outlined by scientific stakeholders. Manages portfolio analysis and summarizes grant investments to inform strategic decision-making. Prepares a strategic plan aligned with a ONE-NLM vision. Advisory and Representational Responsibilities: Briefs Division and NLM leadership on scientific research and policy issues, prepares for high-level meetings, and develops strategic briefing materials. Prepares recurring and special documents containing substantive scientific information, fiscal data, and policy options. Qualifications: Advanced degree (Ph.D., M.D., or equivalent) with experience in biomedical informatics, health sciences, social/behavioral sciences, or related fields. Expertise in strategic planning, science visioning, and policy analysis within biomedical informatics or related disciplines. Knowledge of NIH grant funding mechanisms and experience in portfolio analysis. Proven ability to lead complex analyses, influence policy development, and communicate effectively with diverse stakeholders. Experience in managing interdisciplinary projects and collaborating across NLM units and with external partners. Strong analytical skills with proficiency in data interpretation and reporting. Salary We offer a competitive salary commensurate with experience and location. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

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

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

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.

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.

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.

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.

Are you interested in System1's Machine Learning & Data Science team? If you don't see a job posting that feels like a good fit, but still want to work with us, this posting is a great way for you to express your interest! Our talent acquisition team will reach out to you as opportunities open that might be a good fit for you. We work hard to ensure all our candidates have a great interview experience - we kindly ask for your patience as we support our open & active roles. We will reach out regarding opportunities that match your skill-set as they become available. If you would like to be considered for an open position listed on our careers page, please apply directly to that posting and we'll get back to you as soon as possible! In the meantime, take a look at the information below to learn more about our team. Our Tech Stack Includes: Python | Dataiku | AWS & Snowflake Our Teams Include: Machine Learning Engineering | Machine Learning Science All Things AI Our best engineers are passionate about utilizing the latest technology & tools to deliver the highest quality code possible. As AI-assisted code and agented AI tools become standard, we're embracing the opportunities they create for our teams to focus on complex builds and greenfield projects. Our ML & Data Science teams are responsible for building, tuning, and maintaining the LLMs that power our AI & ML advertising solutions. They deliver both text and image generation capabilities, as well as provide a deep set of data used for experimentation. We've already started using several generative AI tools - Claude, Cursor, Gemini, ChatGPT - to shorten development cycles, and many of our non-technical teams are now contributing to engineering efforts using these tools as well. If you're in the Los Angeles area we've begun hosting several AI industry meetups at our Marina del Rey office - check out our LinkedIn, BlueSky, and Thread pages for upcoming dates & announcements. What Skills Are Needed to be Successful at System1? As we move to using AI-assisted and AI-agented development methodologies, new engineers joining our team must be passionate about finding new ways to apply these tools and technologies. Familiarity with the technologies in our tech stacks is important - but a strong grasp of computer science, machine learning, and data science fundamentals is necessary to understand how to solve complex engineering problems. Understanding edge cases, limitations, implications, and cost are all essential parts of delivering quality products. As our senior engineers are responsible for mentoring others on the team, it's even more critical for them to have a well-rounded understanding of their technical environment. We love to learn! Outside of traditional engineering experience, curiosity and a passion for continuously developing both personal and professional skills are key characteristics we look for in all candidates. What We Have to Offer We love our people, which is why we offer all eligible full-time employees competitive compensation, and great benefits & perks - and there's no waiting period to enroll! Our compensation packages include base salary + bonus + equity. The base salary range for this job family in the U.S. is $120,600 - $242,700 Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related competency attainment, experience, and relevant education or training. Here are our favorite benefits: 100% paid health, dental, and vision coverage for employees Health & Dependent Care Flex Spending Account 401k + 6% match 17 PTO days + 11 holidays + Uncapped sick days Bereavement, Jury Duty, & Parental Leave Family Planning resources Employer-sponsored basic life & disability insurance Cigna Employee Assistance Program, including free mental health resources Our employees love these particular perks: Up to $3,000 annual reimbursement for professional development $100 monthly technology stipend Paid Calm App subscription Monthly fitness or gym membership stipend for eligible employees Charitable contribution matching by System1 We also offer these optional and/or employee-paid perks: In-network access to Cigna's Ginger app Eligibility for discounted rates at participating gyms via Cigna's Active & Fit program Employee-paid increases to life & disability insurance coverage Employee-paid Legal & Identity Theft Protection services Employee-paid Emergency Travel Assistance Employee-paid Accident insurance Employee-paid Pet Insurance #LI-AW1 #BI-Hybrid #LI-Hybrid

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As a Data Science Leader at Anthropic, you will be responsible for building, mentoring and leading a world-class team that turns data into actionable insights. This extremely impactful role is central to scaling our business while maintaining our commitment to safe and beneficial AI. You and your team will develop metrics, analyses, experiments, and machine learning models that help create excellent user experiences and grow the business. You'll collaborate most closely with go-to-market, finance, and infrastructure teams to guide our strategic decision-making as we deploy frontier AI technology to users worldwide. As a key leader of Anthropic's data strategy, your team's work will shape key decisions, directly accelerate our progress, and contribute to Anthropic's mission of ensuring that artificial intelligence has a positive impact on humanity. Responsibilities: Lead and develop a high-performing team of data scientists, providing mentorship, guidance, and career development opportunities Partner with Sales, Marketing, Compute, and Finance leadership to develop metrics, dashboards, and analyses that inform strategic decisions across these domains Drive product strategy through data-driven insights, including user behavior analysis, product performance metrics, causal inference and experimentation Create and maintain sophisticated forecasting models for business planning, operations and capacity management Develop lead scoring, customer segmentation, propensity models, and predictive machine learning approaches to help nurture and grow customer accounts Establish engineering best practices, data modeling and scalable data infrastructure in collaboration with engineering teams Communicate complex analyses and recommendations effectively to executives and stakeholders across the organization Foster a collaborative, inclusive team culture that balances technical excellence with practical business impact You may be a good fit if you have: MS or PhD in a quantitative field (statistics, mathematics, computer science, physics, or related) 12+ years of experience in data science and analytics (or 10+ years of work experience with a PhD degree), including 6+ years managing high-performing technical teams "Director" or "Senior Manager" title at a large organization, or "Head of" title at a smaller organization Experience partnering with Sales, Finance, or Capacity on their data needs Proven track record of driving product strategy through data insights and building metrics that matter Deep expertise in statistical analysis, experimental design, and causal inference Experience with SQL, Python, R, and data visualization tools for large-scale analysis Demonstrated ability to partner effectively with cross-functional stakeholders and influence decision-making through data Experience building data capabilities from early stages through rapid growth phases Strong communication skills, with ability to translate complex technical concepts to diverse audiences Passion for Anthropic's mission of building safe and beneficial AI Strong candidates may also have experience with: Building data teams and practices in fast-paced, high-growth technology companies Financial modeling, capacity planning, chip optimization, or operations research Machine learning, NLP, or experience working with AI and large language models Go-to-market analytics, including marketing attribution, sales forecasting, and customer lifecycle analysis Knowledge of cloud based billing systems and standard accounting practices Managing through ambiguity and creating clarity in early-stage environments The expected salary range for this position is: Annual Salary: $275,000-$355,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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