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The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society's toughest challenges - from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone. The Team CZI supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems - paving the way for new discoveries that will change medicine in the decades that follow: Building an AI-based virtual cell model to predict and understand cellular behavior Developing state-of-the-art imaging systems to observe living cells in action Instrumenting tissues to better understand inflammation, a key driver of many diseases Engineering and harnessing the immune system for early detection, prevention, and treatment of disease CZI's work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science. The Opportunity CZI is building a virtual cell model that will learn how cells function at a molecular level, and predict how cells and tissues respond to changes to their genes or environment. To achieve this, we aim to generate datasets that enable us to track cells' journeys throughout development, monitor real-time changes in cellular state and identity, and measure how cellular machinery responds to environmental changes. To achieve this, we will generate very large amounts of volumetric, time-resolved microscopy data, and ultimately we will publish the data, models, and related applications for public use. As the Senior Technical Program Manager, you will be responsible for ensuring end-to-end delivery of the imaging datasets, first to AI researchers, and ultimately to the scientific community. You will partner with research scientists, engineers, and data scientists to design and implement systems to acquire, transform, store, manage, and prepare data for model training. You will ensure the system implements requirements from Product Management to make those data useful and accessible for the scientific community. You will ensure data we create are standardized and carry uniform metadata-across imaging modalities but also across other data types we generate. Through these efforts, you will create the data foundation for our work in imaging science. What You'll Do Define and defend the technical strategy and roadmap for imaging data acquisition Establish systems and processes to ensure agility and responsiveness to emerging data types or modeling needs in the rapidly evolving AI biology space. Oversee design and operation of data pipelines and storage solutions to support multi-PB image acquisition, storage, and use Organize a team to create high quality, standardized imaging datasets and deliver them to AI researchers and the scientific community. What You'll Bring 8+ years of experience with biological imaging data, including at least 5 years experience working with technologies accumulating multiple PBs of data per year. Delivered multiple large data products, at least one of which contains a significant component of imaging data. Interest and ability to execute and manage a large, cross-functional project with many stakeholders. Experience with big data: extraction, transport, loading, databases, standardization, and data validation. Strong fundamentals in algorithms, statistical reasoning and/or machine learning. Exposure to image analysis and QC best practices. Excellent written and verbal communication skills. Enthusiasm to ramp up on technologies and learn new domains. Experience working in a scientific multidisciplinary environment (e.g. with research scientists, engineers, data scientists, and/or AI researchers). Compensation The Redwood City, CA base pay range for this role is $178,000 - $267,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Benefits for the Whole You We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. CZI provides a generous employer match on employee 401(k) contributions to support planning for the future. Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs. CZI Life of Service Gifts are awarded to employees to "live the mission" and support the causes closest to them. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving to the Bay Area And more! If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers. #LI-Hybrid

About Northern Trust: Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. The Enterprise Risk Management Office plays a key role in the Risk organization. This Sr. Consultant will be responsible for on-going support in the exploration, maintenance and implementation of data science tools and solutions. Act as liaison between the modeling team and the IT department in order to manage infrastructure, monitor technical upgrades, ensure adherance with standards/procedures, establish communication/training programs, and oversee expense budgets/project statuses. This Senior Consultant, ERM Framework Support role will report to an ERM manager on these initiatives. The key responsibilities of the role include: Support/coordinate ERM team activities with other teams including Regulators, Audit, IT, and other groups/functions, as required Assist in managing the ERM operating budget, forecasts, and training needs for the team Act as business analyst in support of various data science platforms that host different models and tools developed and/or owned by the ERM- Risk Advanced Analytics team Prepare and manage enhancements/defects docket items and requirements for data science platforms Explore and work with Advanced Analytics Team to test new capabilities of various data science tools and modeling platforms Partner with technology team, project managers and/or external vendors on various enhancement, testing, and implementation tasks related to ERM tools and platforms. Support ERM staffing and training requirements, working with Communications team on ongoing programs, training and course development, where appropriate Drive consistency and quality of documentation and work products Identify and escalate issues/risks in a timely manner and collaborate on resolution; challenge the status-quo, identify effective ways for problem solving The successful candidate will benefit from having: 7+ years of experience in risk analytics or a related field within a financial services organization is preferred. Familiarity with coding languages like SAS, Python and related infrastructure is required Understanding of project management skills and ability to manage multiple priorities. Ability to identify, escalate, and assist in driving actions to mitigate priority risks. Strong organizational skills with the ability to manage multiple tasks and deadlines effectively. Strategic and logical thinking abilities. Strong stakeholder management and communication skills, both verbal and written. Project management and change management capabilities. Digital literacy and proficiency in relevant software and coding languages #LI-LK2, #LI-Hybrid Salary Range: $83,100 - 141,300 USD Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component. Working with Us: As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose. We'd love to learn more about how your interests and experience could be a fit with one of the world's most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater Reasonable accommodation Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com. We hope you're excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people. Apply today and talk to us about your flexible working requirements and together we can achieve greater.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. The Scientist II, Life Sciences Research will execute research projects for early stage biopharmaceutical partners. This role involves performing complex computational analyses, and providing interpreted insights to guide decision-making for biopharma clients. The ideal candidate will possess strong genomic analytical skills and the ability to communicate complex scientific findings to various stakeholders. Key Responsibilities: Independent Contribution: Independently execute complex translational research projects integrating molecular and clinical data from Tempus multimodal data platform to derive real-world insights for biopharma partners Scientific Communication: Present scientific findings clearly and meaningfully to diverse sets of external stakeholders Continuous Improvement: Stay current with industry trends, best practices, and advancements in computational oncology research. Apply this knowledge to enhance research methodologies and improve overall research quality on team Qualifications: Education: PhD degree in a quantitative discipline (e.g. Biostatistics/Statistical Genetics, Cancer Genetics, Bioinformatics, Computational Biology, Computational Immunology or similar) or, a PhD in Molecular Biology or Immunology combined with a very strong record of computational biology. Alternatively an MSc degree with 4+ years of industry experience. Technical/Scientific Skills: Highly proficient in R (ideally Rmd and/or RShiny) Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences. Preferred Skillsets/Background: Strong understanding of molecular data and artificial intelligence in drug discovery with experience in integrative modeling of multi-modal clinical and omics data. Previous experience working with large transcriptome and NGS data sets. Prior consulting and/or client facing experience is highly desirable Ability to work collaboratively in a team environment Thrive in a fast-paced environment and willing to shift priorities seamlessly. Experience with R package development. Strong peer-reviewed publication record. Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, R Package development, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS. Goal orientation, self motivation, and drive to make a positive impact in healthcare. California Pay Range - $100,000 - $150,000 Illinois Pay Range - $90,000 - $135,000 The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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.

Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! This role is part of Blue Origin Operations, which is comprised of Integrated Supply Chain, Facilities, and Security, and Safety, Quality, and Mission Assurance. This includes Manufacturing and Supply Chain support across all Blue Origin facilities. We are looking for a strategic and driven Sr. Manager to lead our Data Sciences & Analytics team within the Business Operations organization. This pivotal role demands a candidate with a strong manufacturing and operations background, outstanding communication skills, and proven experience managing cross-functional technical teams. We look forward to welcoming a central leader who can improve our operational efficiency through data-driven insights and pivotal initiatives. We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required! Special Mentions: Relocation: Relocation assistance provided, if eligible. Location: Preferred locations include any of the major manufacturing sites in WA, FL, or AL. New Team Opportunity: This is an outstanding opportunity to join a newly formed team where you can make a significant impact from the ground up. Your leadership and vision will be instrumental in crafting the future of our data analytics initiatives and driving substantial business value. Responsibilities Include but not limited to: Strategy Development: Develop and coordinate the organization's data analytics roadmap to align with business and operational goals. Team Leadership: Leading, mentoring, and managing a team of Data Analysts, encouraging a collaborative, innovative, and high-performing team culture. Spearhead initiatives that integrate advanced analytics into our business processes, encouraging a culture centered around data. Metrics Management: Build a high-performing team and analytics platform that captures and reports on critical business performance metrics, including production rates, production costs, quality, scheduling, and workforce efficiency. Advanced Analytics: Drive strategic decisions through in-depth data exploration and analysis. Lead initiatives around advanced analytics, including machine learning, AI, and statistical modeling. Dashboards and Reporting: Develop dashboards and automated reporting to monitor trends and results. Collaborator Communication: Share findings and results with executive leadership in a clear and actionable way. Present and defend metrics to executive leadership. Problem-Solving: Possess outstanding problem-solving skills to assess and navigate complex data problems with creativity and analytical rigor. Minimum Qualifications: Bachelor's degree in data science, Computer Science, Statistics, Mathematics, Engineering, or related field. 8+ years of professional experience in data science, analytics, or a related field. 3+ years of experience in manufacturing, operations, and/or supply chain analytics. 3+ years of experience managing data science, analytics, or cross-functional technical teams. Proficiency in data analysis tools and languages (e.g., Python, SQL). Experience with data visualization tools (e.g., Tableau, PowerBI). Familiarity with big data platforms and cloud technologies. Demonstrated ability to lead and develop teams in a dynamic environment. Strong project management and prioritization abilities. Strong communication skills, with the ability to explain complex data concepts to technical and non-technical collaborators. Demonstrated capability to lead cross-functional projects and work closely with various collaborators. Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Ability to earn trust and maintain positive professional relationships Preferred Qualifications: Industry Experience: Experience in Aerospace Manufacturing. Specific Tools: Experience with data from Costpoint, Workday, Databricks, AWS, Confluence, and Cornerstone. Compensation Range for: CA applicants is $191,265.00-$267,771.00;CO applicants is $175,867.00-$246,213.45;WA applicants is $191,265.00-$267,771.00 Other site ranges may differ Culture Statement Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Background Check Required for all positions: Blue's Standard Background Check Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification, Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Benefits Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results. Eligibility for benefits varies by role type, please check with your recruiter for a comprehensive list of the benefits available for this role. Equal Employment Opportunity Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "EEO Is the Law," please see here. Affirmative Action and Disability Accommodation Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at EEOCompliance@blueorigin.com. California Applicant Privacy Notice If you are a California resident, please reference the CA Applicant Privacy Notice here.

Who are we: A professional basketball team and state-of-the-art arena/entertainment venue that specializes in creating memorable experiences for each guest we interact with. Some of our favorite things are live sports, concerts, comedy shows, family shows, and most any other world-class event you can think of, and we're looking for someone who shares the same interests. We live for the fast-paced world of sports & live entertainment, and as such, we work hard, run fast, execute flawlessly, and party it up when it all comes together. Lastly, we strive to deliver wonderful experiences that create lasting memories, and we prefer to surround ourselves with those who are the best at what they do. Who are you: An enthusiastic lover of sports, live entertainment, and people. You have true passion for engaging in meaningful interactions and creating memorable experiences for all guests. You strive to be helpful, engaging, and knowledgeable of all things Atlanta Hawks and State Farm Arena. You enjoy being a part of an exciting and dynamic group, and you're committed to continuously enhancing the productivity and effectiveness of your team. Lastly, you enjoy working hard and celebrating hard, and you'd be shocked if guests weren't positively impacted by their interactions with you. Beyond the buzzer and bright lights, the Atlanta Hawks are igniting a new era of data-driven excellence, where analytics fuels bold strategies and drives transformative business impact. We're rethinking how data shapes decisions, moving beyond spreadsheets and dashboards to stories that drive decisive action within our organization. This isn't just about numbers; it's about building relationships that translate insights into a driver of unforgettable fan experiences and measurable growth across every corner of the organization. As a member of Hawks iQ, we aim to be visionaries who can see beyond the data to uncover opportunities others miss, partnering with leaders who shape everything from the roar of the crowd to the strategic vision of an organization that defines Atlanta's spirit. Join us, and your work won't just live in dashboards-it will echo through State Farm Arena, influence millions of fans, and help write the next chapter for one of the NBA's most dynamic organizations. This is analytics that matters, for a brand that matters, in a city that matters. About the Role The Senior Director, Data Science will be responsible for building and leading a brand-new capability within the Atlanta Hawks organization, leveraging predictive modeling and machine learning to accelerate decision-making across critical business functions. This leader will be at the forefront of driving impactful insights, developing cutting-edge models, and influencing strategic decisions with measurable results. With a focus on pricing optimization, demand forecasting, and fan engagement prediction, this role will be instrumental in identifying hidden patterns, optimizing revenue strategies, and shaping the future of consumer engagement. The Senior Director will create the roadmap for this new function, prioritize efforts based on business needs, and build a high-impact team to bring these capabilities to life. Success in this role requires deep technical expertise, the ability to translate complex insights into actionable strategies, and the leadership skills to drive collaboration across teams. The ideal candidate will be both a hands-on data scientist and a strategic leader who can communicate advanced analytics in a way that resonates with executives and business stakeholders. Key Responsibilities: Predictive Analytics & Decision Science Develop and implement predictive models that drive pricing optimization, revenue forecasting, and customer engagement scoring. Build machine learning and AI-driven models that surface demand signals, predict consumer behaviors, and identify new revenue opportunities. Leverage advanced analytics to refine customer lifetime value (CLV) scoring, optimize ticket pricing, and enhance marketing effectiveness. Collaborate with business leaders to ensure data science initiatives align with strategic priorities and deliver measurable impact. Leadership & Capability Building Establish and lead a high-performing Data Science team, fostering a culture of innovation, collaboration, and continuous learning. Define the roadmap for data science within Hawks iQ, prioritizing projects based on organizational needs and impact potential. Mentor and develop talent, ensuring the team stays at the forefront of cutting-edge data science methodologies and technologies. Act as a thought leader within the organization, advocating for data-driven decision-making and best practices in predictive analytics. Cross-Functional Collaboration & Communication Partner with teams across pricing, marketing, sales, and fan experience to integrate predictive insights into business strategies. Translate complex data science concepts into clear, actionable insights that drive decision-making at all levels of the organization. Work closely with data engineering and analytics teams to ensure seamless data integration and model deployment. Champion a test-and-learn culture, helping teams experiment with data-driven approaches to optimize business performance. Qualifications & Experience 10+ years of experience in data science, predictive analytics, or machine learning, with at least 4 years in a leadership role. Proven track record of building and deploying predictive models that drive business impact. Deep expertise in statistical modeling, machine learning algorithms, and AI-driven insights. Strong technical proficiency in Python, R, SQL, and cloud-based machine learning frameworks (AWS, Azure, GCP). Experience in pricing optimization, demand forecasting, revenue management, or customer engagement analytics is highly preferred. Ability to communicate complex technical concepts to non-technical stakeholders in a compelling and actionable manner. Strong leadership skills, with experience building and scaling data science teams. A strategic thinker with a challenger mindset-willing to push boundaries, experiment, and drive innovation. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class. If this opportunity looks exciting to you, please complete the application process. Go Hawks!

Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are seeking a Data Science Manager who will be responsible for managing the development of predictive statistical models using both data from Govini’s National Security Knowledge Graph and data provided by our Government customers. These models will include general statistical models, simulation models, and machine learning implementations. You will be responsible for the management of a team of existing data scientists as well as growing this team. You will collaborate with Product, Sales, and Engineering in a cross-functional capacity to deliver high-quality, decision-grade data and analytics to our National Security customers. You will work with our customers directly to better understand their key challenges. You thrive under pressure and are eager to solve new challenges. You are passionate about recruiting and developing top data science talent. You are a technology and data nerd who strives to always deliver the best product to our customers. In order to do this job well, you will push the boundaries of data science and always look for new ways to leverage models to drive new insights and customer value. You won’t hesitate to identify problems and take the lead in finding the answers. You are a self-starter who leads by example. You are a creative, out-of-the box thinker who shares our passion and obsession with problem-solving. As part of our team, you must have a strong understanding of the various fundamentals of data science and analysis, including machine learning. You excel at translating business problems into data science problems and bringing data to life. This role is a full-time position located out of our office in our Pittsburgh, PA office. This role may require up to 50% travel. Scope of Responsibilities Manage the teams of data scientists to execute predictive indicator development and configuration Partner with external client teams to understand their business problems and work with them to create data-driven solutions, to be hosted on the Govini Defense Software Application, Ark.ai Understand our data assets on a detailed level and train others; you are the data subject matter expert Constantly seek out new tools to deliver scope faster with higher quality Become an expert in the National Security domain, and speak from a position of authority to internal and external customers as it pertains to leveraging Govini data and analytics Hire the best talent and continuously train, coach, and mentor your team members to grow and perform at their highest level Apply advanced statistical, AI/ML, and predictive modeling techniques to build, maintain, and improve on indicators and models to help customers proactively manage risks and identify opportunities Constantly innovate and never settle for the status quo Participate in end-to-end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data, and QA engineers Qualifications U.S. Citizenship is required Required Skills: Master's degree in Statistics, Computer Science, or a related technical field Minimum of 5 years of direct, hands-on data science work including machine learning model development, statistical analysis, indicator development, and related programming languages such as Python and R Minimum 2 years of people management, specifically running data science, software/data engineering, or other technical teams Experience in a customer-facing data science role as an individual contributor or manager SQL mastery Experience with Git source control management Experience developing and deploying business intelligence (BI) tools and insights to both internal and external customers Understanding and appreciation of the product management discipline; ideally you have worked within a product organization in your past experience Strong communication skills, across all levels of the organization Experience with developing and maintaining Data Science solutions in AWS environments A burning desire to work in a challenging, fast-paced environment and grow professionally Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience in or exposure to the nuances of a startup or other entrepreneurial environment Experience and interest in National Security Experience working on agile/scrum teams Experience with major NLP frameworks Familiarity with big data frameworks (e.g., HDFS, Spark) and AWS We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you. Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Many structural heart patients suffer from heart failure with limited options. Our Implantable Heart Failure Management (IHFM) team is at the forefront of addressing these unmet patient needs through pioneering technology that enables early, targeted therapeutic intervention. Our innovative solutions are not just transforming patient care but also creating a unique and exciting environment for our team members. It's our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey. How you will make an impact: Looking for an enthusiastic and motivated manager for our growing Data Science Team. We have a constantly growing, unique and rich healthcare dataset and have big plans to leverage this for the betterment of our patients. Adopting a largely greenfield infrastructure & barebones group; build, mold & grow them into your ideal team. This is a very novel opportunity to lead the development of innovative solutions with massive impact on patients' daily lives. This is a people management role with the Data Science Manager tasked with building, leading and daily management of the Data Science team. This will encompass all aspects to ensure the success of the team in building new algorithms and models for internal use or deployed as product features for clinicians or patients. The manager will give direction, guidance and structure to the team while being at the center of hypothesis testing and experimentation. You will be empowered to deliver innovative, insightful & impactful features and projects. Additional Roles/Responsibilities: Hire, build and grow the data science team. Multiple expansion requisitions approved for FY'25 Manage, mentor and guide team members to excel at their roles. Build upon your own deep technical strengths to impart insight and guidance to the team. Contribute and constructively challenge technical proposals & requests. Handle team career development and annual reviews. Own the Data Science roadmap & project backlog. Use your project management skills to steer, manage and prioritize the Data Science Teams workload & projects. Aid distillation of complex technical approaches and progress into digestible presentations and updates to management & senior leadership. Liaise with immediate teams (Data Engineering, Data Analytics) and external groups to understand needs and requests while progressing your team's needs. Demonstrate good data governance practices and approaches equivalent to the risks and needs of the team. Ensure the highest levels of confidentiality and sensitivity for dealing with Patient Health Information [PHI] What you'll need (Required): Bachelor's Degree in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education- OR- Master's Degree or equivalent in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education- OR- Ph.D. or equivalent in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education Experience in technical leadership or management role Previous hands-on knowledge of mathematical principals, Statistics, Data Analytics and Data Science principles and their use with building models and insights What else we look for (Preferred): Experience as a Data Scientist, Statistician or other technical data related role strongly preferred Expert understanding of related aspects of machine learning, data science and artificial intelligence processes and/or systems Hands-on experience with working and analyzing clinical or patient data (an advantage) Demonstrated ability to manage one or more teams and provide coaching and feedback, including responsibility for all employee actions including hire/fire authority and partnering with HR on all aspects of employee relations (Experience leading Data Science, Data Analytics or Software Management teams is strongly preferred). Ability to develop and integrate metrics into the projects and operations that clearly demonstrate the value of machine learning, data science and artificial intelligence to the business Strict attention to detail Ability to interact professionally with all organizational levels Ability to work and excel within a fast paced, dynamic, and constantly changing work environment Ability to frequently interacts with internal and external management and senior-level stakeholders concerning projects, operational decisions, scheduling requirements, and/or contractual clarifications Ability to provide leadership and direction to cross-functional teams to successfully implement global enterprise systems and related solutions Adhere to all company rules and requirements (e.g., pandemic protocols, Environmental Health & Safety rules) and take adequate control measures in preventing injuries to themselves and others as well as to the protection of environment and prevention of pollution under their span of influence/control Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families. For Illinois (IL), the base pay range for this position is $118,000 to $167,000 (highly experienced). The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website. Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities. COVID Vaccination Requirement Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.

We are seeking a strategic, collaborative, and technically skilled Director of Data Science to lead and grow our data science team. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful machine learning and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core products, services, and operations. The role will report to the VP of Data & Analytics. What You'll Do Leadership & Strategy Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes Act as a strategic advisor and thought leader, championing the adoption and responsible use of AI/ML across the organization Advocate for ethical, transparent, and compliant data use, upholding standards of fairness and accountability in all initiatives Team Development & Management Build, mentor, and lead a high-performing, collaborative team of data scientists Foster a culture of inclusion, innovation, and continuous learning within the team Set clear goals and development plans to support team growth and success Cross-Functional Collaboration Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value Analytical & Communication Excellence Translate complex, ambiguous problems into structured, actionable analytical solutions Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions Model Development & Operations Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs Standards & Best Practices Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability What You'll Need Minimum Qualifications 8+ years in data science or machine learning roles, including 3+ years in a leadership position Advanced degree (PhD/MS) in a quantitative field such as Computer Science, Statistics, Mathematics, or similar Proven experience deploying machine learning models at scale in production environments Preferred Qualifications Background in SaaS or experience working with B2B business models Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Deep understanding of statistical modeling, causal inference, and A/B testing Excellent communication and stakeholder management skills Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms Experience with NLP, recommendation systems, or time-series forecasting. Experience managing and growing technical talent Working Conditions & Travel Requirements Reliable internet access for any period of time working remotely, not in a Workiva office Up to 20% travel How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic. We strongly encourage and welcome people from historically marginalized groups to apply. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

Clorox is the place that's committed to growth - for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace Your role at Clorox: As Data Science Manager, you would have the opportunity to apply data science techniques across our portfolio of brands to create novel tools and analyses, pushing the boundaries of marketing analytics within the company This role is responsible for building data products and translating data into clear and compelling insights ensuring proper activation that leads to business results. You will work closely with other data scientists, engineers and partners across Marketing, Sales and R&D to derive insights from diverse data sources, help the business make data-driven decisions and apply cutting edge data science techniques. The ideal candidate would be passionate about data science and product analytics with business facing experience. In this role, you will: As Data Science Manager, you would have the opportunity to apply data science techniques across our portfolio of brands to create novel tools and analyses, pushing the boundaries of marketing analytics within the company This role is responsible for building data products and translating data into clear and compelling insights ensuring proper activation that leads to business results. You will work closely with other data scientists, engineers and partners across Marketing, Sales and R&D to derive insights from diverse data sources, help the business make data-driven decisions and apply cutting edge data science techniques. The ideal candidate would be passionate about data science and product analytics with business facing experience. What we look for: Key Responsibilities Develop and deploy end-to-end AI/ML/Gen AI models, focusing on marketing, measurement, and predictive analytics. Explore and implement GenAI solutions (e.g., LLMs, embeddings, RAG pipelines) for use cases like personalized marketing, customer insights, or content generation. Scope and define data science projects, set clear deliverables, and collaborate with stakeholders to develop and deploy impactful models. Maintain code repositories in GitHub, ensuring version control and collaborative development with other members of the team Collaborate closely with data engineers to ensure data quality, feature engineering, and the development of efficient data pipelines. Act as a strategic partner to business stakeholders, helping them frame problems in a data-driven way and translating business goals into analytical solutions. Lead discovery sessions with marketing, product, and leadership teams to understand pain points and identify opportunities where data science can create value. Present analytical findings and model results through compelling storytelling, using visualizations and business context to drive alignment and decision-making. Education & Experience Bachelor's degree or higher in data science, math, statistics, computer science or other relevant quantitative fields. MS strongly preferred. 5-+ years of relevant business experience with bachelor's, or 3+ years with masters degree Highly collaborative and able to communicate effectively with non-technical audiences. Business partner facing experience is preferred. Technical Skills Proficient in Python, SQL, and other open-source tools, including Generative AI frameworks and other relevant technologies. Experience in predictive modeling, machine learning, and Generative AI tools, with the ability to develop production-ready AI/ML models. Comfortable working with unstructured and messy data, including data exploration, cleaning, and transformation to extract meaningful insights. Experience with cloud-based data tools like BigQuery, Azure Synapse and GCS is a plus Experience with Docker, Cloud deployments and product building is a plus Other Skills Self-starter who can think creatively and look for/develop elegant and viable solves for real world problems. Skilled at producing actionable and compelling recommendations driven by complex data. Strong leadership and communication skills Excellent time and project management skills with the ability to work efficiently under tight deadlines. Strong interpersonal and relationship building skills. Strong Business acumen. Consumer goods (CPG/FMCG) experience preferred. Comfortable in a dynamic environment and able to identify needs, develop a plan of action and implement. Workplace type: This role will be open to candidate location with a preference in being located out of a Clorox Hub. This will abide by the Hybrid 2.0 policy, 3x per week in office if within a 50 mile radius. We seek out and celebrate diverse backgrounds and experiences. We're looking for fresh perspectives, a desire to bring your best, and a non-stop drive to keep growing and learning. At Clorox, we have a Culture of Inclusion. We believe our values-based culture connects to our purpose and helps our people be the best versions of themselves, professionally and personally. This means building a workplace where every person can feel respected, valued, and fully able to participate in our Clorox community. Learn more about our I&D program & initiatives here. [U.S.]Additional Information: At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates' unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility/adoption benefits, and more. We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area. -Zone A: $124,300 - $244,900 -Zone B: $114,700 - $224,500 -Zone C: $103,600 - $204,100 All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process. This job is also eligible for participation in Clorox's incentive plans, subject to the terms of the applicable plan documents and policies. Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times. To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes.

Avant is adding to our Data Science team! We are looking for a self-driven candidate who is passionate about problem solving and interested in making a difference. This person will be a key member of our Data Science team and responsible for the development of numerous kinds of customer lifecycle models. If you are looking for an opportunity to join a great team where you can be yourself, deepen your skills and experiences, and find new areas of inspiration then consider a career at Avant! What you'll do at Avant: Work with stakeholders throughout the company to identify opportunities for leveraging company data and third-party vendor data to drive business solutions using different modeling techniques Design and build predictive models to enhance customer experience, reduce risk, improve revenue generation, optimize direct mail targeting, and drive key outcomes throughout the customer lifecycle Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies Clean, process and validate data to ensure its quality and integrity for modeling and analysis Conduct feature engineering, select appropriate features and develop robust models using various machine learning techniques Perform ad-hoc analysis and present results in a clear manner to senior management. Provide timely and justified recommendations in response to ad-hoc analysis requested by internal groups Proactively collaborate with Data Engineering, ML Operations, Software Development, Credit Risk, Marketing, Legal & Compliance, and other internal groups to implement and monitor models across the customer lifecycle Develop and enhance processes and tools to monitor model performance and input and output data accuracy Why you're a fit for Avant: 2-3 years of the job experience as a data scientist or an advanced degree (Master's or PhD in Machine Learning, Computer Science, Statistics, Operations Research or a related STEM fields) 2+ years expertise in machine learning theories and practices (Generalized Linear Model, Support Vector Machine, Random Forest, Gradient Boosting, etc.) Familiarity with Object-Oriented Design (OOD) concept and functional programming with 2+ years experience writing production-level code Strong proficiency in Python with experience in the end-to-end development of machine learning models. Domain knowledge in credit risk is a plus Advanced in SQL for querying and analyzing large datasets Excellent communication skills, with the ability to present complex concepts and findings clearly to both technical and non-technical audiences, and effectively collaborate with cross-functional teams Strong problem-solving and critical-thinking skills, with a keen attention to detail and data integrity Experience with ML and data analytics platforms/technologies such as Databricks, AWS (including AI/ML tools) and Looker is a plus Experience in deep learning is preferred Experience in a data science or ML Ops role at a banking/financial institution or fin-tech is a plus This role is based on our downtown Chicago Office, located in the Merchandise Mart. We highly value collaboration and our hybrid schedule (M, T, Th in-office) enables flexibility to balance work and individual priorities. Compensation Range: The base salary range for this job is USD $80,000 - USD $100,000 / Year Employees new to Avant typically come in below the midpoint of the pay range. The compensation range is based on the level outlined in the job posting, and compensation decisions are dependent on each applicant's experience, skills and abilities. [If an outstanding applicant's experience and skill level is above or below the qualifications outlined in the job posting, we reserve the right to make an offer at a different level than the one listed in this job posting, which may have a different compensation range.] This role is eligible for additional incentives, including an annual bonus. These rewards are allocated based on level, impact and performance in the role. Our benefits include: Choice of great Medical, Dental, and Vision Insurance Plan options 401(k) match Flexible Time Off Flexible Work Environment - (i.e. Mon/Tues/Thurs in-person) Generous Paid Parental Leave, Adoption Assistance and Post-parental leave ramp-up program Lunch Allowance (Fooda) and In-office Snacks Summer Fridays Fun In-Office and Virtual Social Events And who doesn't love the swag Check out our Avant Blog! We believe that a diverse set of backgrounds and experiences helps us create the most innovative solutions for our customers. We invite you to apply to our positions even if you do not meet 100% of the qualifications listed in the description. If you're passionate about our mission and aligned to our values, we hope you'll come contribute to our awesome culture. Why Avant is the place for you: At Avant, we believe our values make a difference: Authenticity. We show up to work as our whole selves and make sure others can too. Collaboration. We can only succeed when we do so as a team. Problem-Solving. The harder the problem, the more satisfying the solution. Customer. We are all owners of the customer experience. Initiative. Plan. Adapt. Get Sh!t Done. We believe that great ideas come from anyone and anywhere, that everyone is an owner who drives change, and that we have more fun when we work together. We're problem solvers who love collaborating with intelligent and highly-motivated people to reshape the face of digital banking. Avant offers terrific perks and benefits, fun social events with employees who actually like hanging out together, and a flexible growth environment where trying your hand at new projects and being the active owner of your career path is encouraged and supported.

We are seeking a strategic, collaborative, and technically skilled Director of Data Science to lead and grow our data science team. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful machine learning and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core products, services, and operations. The role will report to the VP of Data & Analytics. What You'll Do Leadership & Strategy Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes Act as a strategic advisor and thought leader, championing the adoption and responsible use of AI/ML across the organization Advocate for ethical, transparent, and compliant data use, upholding standards of fairness and accountability in all initiatives Team Development & Management Build, mentor, and lead a high-performing, collaborative team of data scientists Foster a culture of inclusion, innovation, and continuous learning within the team Set clear goals and development plans to support team growth and success Cross-Functional Collaboration Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value Analytical & Communication Excellence Translate complex, ambiguous problems into structured, actionable analytical solutions Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions Model Development & Operations Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs Standards & Best Practices Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability What You'll Need Minimum Qualifications 8+ years in data science or machine learning roles, including 3+ years in a leadership position Advanced degree (PhD/MS) in a quantitative field such as Computer Science, Statistics, Mathematics, or similar Proven experience deploying machine learning models at scale in production environments Preferred Qualifications Background in SaaS or experience working with B2B business models Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Deep understanding of statistical modeling, causal inference, and A/B testing Excellent communication and stakeholder management skills Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms Experience with NLP, recommendation systems, or time-series forecasting. Experience managing and growing technical talent Working Conditions & Travel Requirements Reliable internet access for any period of time working remotely, not in a Workiva office Up to 20% travel How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic. We strongly encourage and welcome people from historically marginalized groups to apply. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

About Northern Trust: Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. Northern Trust is looking for experienced modelers/data scientists to join the Risk Advanced Analytics team. Responsibilities include working with large and complex data sets (both internal and external data) to develop, monitor and support the implementation of advanced analytics solutions and regulatory models The key responsibilities of the role include: Perform data analysis and advanced modeling techniques to solve complex business problems, provide insights and create innovative solutions Develop econometric forecasting models for key balance sheet and income statement line items (e.g. deposit forecasting, revenue forecasting) under different macroeconomic scenarios as part of the annual stress testing exercise Create predictive models for estimating probability of default and losses as part of the Bank's capital adequacy process Exercise independent judgement in identifying and resolving problems within established guidelines and development framework Interact with the Data Analytics team to request and ensure high quality data are utilized in the model development process Communicate regularly with key business partners, management, oversight committees and regulators by acting as a subject matter expert. The successful candidate will benefit from having: Graduate degree in a related field (math, statistics, economics) is required 5+ years of experience in banking and/or data science /modeling is required Experience with developing CCAR and PPNR models is preferred Experience with Time Series modeling techniques is required Excellent analytical skills and high attention to detail Experience using statistical programming languages such as Python, SAS, SQL Excellent oral and written communication skills, including presentation and data visualization skills Ability to effectively communicate with peers, senior management and overseas partners Ability to work under pressure, manage and prioritize multiple deliverables. #LI-LK2, #LI-Hybrid Salary Range: $83,100 - 141,300 USD Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component. Working with Us: As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose. We'd love to learn more about how your interests and experience could be a fit with one of the world's most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater Reasonable accommodation Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com. We hope you're excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people. Apply today and talk to us about your flexible working requirements and together we can achieve greater.

We have many opportunities available on our other career site pages. Click here to link to our careers page! Signet Jewelers is the world's largest retailer of diamond jewelry, operating more than 2,800 stores worldwide under the iconic brands: Kay Jewelers, Zales, Jared, H.Samuel, Ernest Jones, Peoples, Banter by Piercing Pagoda, Rocksbox, JamesAllen.com and Diamonds Direct. We are a people-first company and this core value is at the heart of everything we do, from empowering our valued team members, to collaborating with our customers, to fostering the communities in which we live and serve. People - and the love their actions inspire - are what drive us. We're not only proud of the love we inspire outside our walls, we're especially proud of the diversity, inclusion and equity we're inspiring inside. There are dynamic career paths awaiting you - rewarding opportunities to impact the lives of others and inspire love. Join us! We are seeking a forward-thinking leader to drive innovation in AI/ML product development and machine learning operations (ML Ops). This role will lead the design and deployment of advanced data science and machine learning solutions that enhance decision-making and deliver measurable business value. You will play a key role in shaping the strategic use of data across the organization, leveraging emerging technologies and best practices to build scalable, impactful models. In addition to technical leadership, this position is responsible for building and developing a high-performing, diverse team of data science professionals. You will provide hands-on mentorship, foster a culture of innovation, and lead by example in applying analytical solutions that support business growth. The ideal candidate will also serve as a key advocate for data science across the organization-partnering with stakeholders, advising leadership, and championing the adoption of AI/ML tools and practices to create a more data-driven culture. KEY RESPONSIBILITIES: Lead and inspire the development of advanced data science, statistical models, AI, and ML capabilities. Revolutionize insight driven decision-making across retail functions and brand teams. Stay updated on industry trends and emerging data science techniques. Implement ML Ops practices for scalable and efficient machine learning model deployment. Guide Enterprise Analytics teams in using AWS services to build accurate, insightful models while minimizing technical debt. Recruit, inspire, and lead a diverse team of data science professionals. Provide coaching, mentorship, and hands on support to foster innovation and personal growth. Lead by example in applying analytical solutions that drive growth. Partner with data and analytics leaders to create an insights driven culture. Consult and advise executives as well as collogues on AI/ML solutions for better decision-making. Encourage the adoption of data science tools to enhance performance and inspire business leaders. POSITION QUALIFICATIONS: Bachelor's degree required; advanced degree (MA/MS/PhD in Statistics, Mathematics, Data Science, or MBA) strongly preferred 10+ years of experience leveraging data science to uncover business insights, improve customer experiences, and drive strategic value Proven track record developing analytics strategies, tools, and automated reporting systems to enable data-driven decision-making Deep expertise in data management, data analysis, and working with diverse datasets and tools across large-scale environments 5+ years leading and mentoring data science teams, including experience managing offshore and cross-functional teams Strong foundation in statistical methods and techniques such as regression, clustering, forecasting, decision trees, ANOVA, and experimental design Hands-on experience deploying AI/ML models to enhance performance and decision-making, ideally within a retail or consumer-focused environment Proficiency in analytics tools and technologies including SQL, Python, R, SAS, Tableau, Power BI, Alteryx, and cloud platforms (preferably AWS) Exceptional communication, project management, and executive presentation skills, with experience managing budgets and vendor relationships PERKS AND BENEFITS: Comprehensive healthcare, dental, and vision insurance to keep you and your family covered Fertility Benefits, with a max of $15,000, for participants in the U.S. medical plans/prescription plans Generous 401(k) matching after just one year to help secure your financial future Ample paid time off, plus seven holidays to recharge and unwind Exclusive discounts on premium merchandise just for you Dynamic Learning & Development programs to support your growth And more! The salary range for this opportunity is $185,000 - $210,000. Base pay offered may vary depending on geographic region, internal equity, job related knowledge, skills and experience, among other factors.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. As a member of the Rider & Safety team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We’re looking for passionate, driven Data Scientists and managers to take on some of the most interesting and impactful problems in ridesharing. We’re seeking a highly analytical and product-focused leader with strong business intuition, technical expertise, and a collaborative mindset. The ideal candidate is deeply curious, comfortable navigating ambiguity, and passionate about leveraging data to drive product strategy and business outcomes. As the data science manager, you’ll help develop the vision, set roadmaps, and lead execution for projects in Rider New Product & Partnerships. These pods are responsible for some of the key strategic initiatives in Rider, with frequent exposure to the company’s senior leadership team. You will be reporting to the Senior Data Science Manager leading Lyft’s Rider & Safety Data Science & Analytics team. Responsibilities:  Lead and grow a high-performing team of data scientists with various backgrounds including analytics, experimentation, machine learning, and causal inference. Lead and coach the team to investigate complex problems and identify key drivers of product performance and customer behavior Be a thought leader and go-to expert for goals, strategy, and long-term vision Develop clear, insight-driven narratives about our users, translating findings into actionable recommendations Influence product roadmaps by forming data-backed perspectives and guiding prioritization decisions Operate effectively at both the strategic and tactical levels, including regular engagement with senior leadership Facilitate and foster a data-driven culture and informed decision making and prioritization Design and implement data frameworks to evaluate and prioritize high-impact product initiatives Experience:  Advanced degree in a quantitative field like computer science, statistics, economics, operations research, or engineering; or relevant work experience 6+ years of hands-on technical experience in machine learning, causal inference, or data science 4+ years of management experience building and leading data science teams Strong track record of using machine learning and data science to improve business outcomes Strong track record of guiding teams through unstructured technical problems to deliver business impact Skilled at managing cross-functional relationships and communicating with leadership across multiple teams Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $176,000 - $220,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. 

Launch Program Overview: Skip the “entry-level grunt-work” and start making a real impact on Day 1. The Launch Program is your opportunity to onboard into your full-time role at Red Ventures in a cohort-style environment that provides in-depth training on our beliefs, culture, business model, and leadership. Your first few weeks will be spent alongside a cross-functional cohort of new Red Ventures employees starting their careers across various roles and teams. These individuals will become your built-in support system and community as you navigate the start of your career with us. After your initial onboarding period, you’ll join one of our teams, meet your manager and mentor, and find unparalleled opportunities to make a substantial impact and quickly advance your career. We believe successful Data Science Product Managers have a wide set of experiences and skill sets in the data domain. This hybrid position offers you hands-on opportunities in data science, data analysis, and product management. In your first two years, you’ll get repetitions in contributing to product life cycles via product analytics, roadmap support, model building, and influential communication with product leadership. What You'll Do: As an Associate Data Science Product Manager, you will play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions to create value for both our business and our customers. Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action. Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead. Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as: Data pipelines to gather, manipulate, prepare, and visualize large datasets Machine learning models for offline and proof-of-concept use cases LLM workflows to automate tasks or for reasoning capabilities for specific features in your product End to end ownership of experiments. Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative. Promote adoption and usage of your product and tooling. Interact directly with end-users for training, feedback, and user testing. Stay up-to-date with advancements in machine learning and generative AI to identify innovative ways to solve business challenges. Who you are: Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation. Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles.  Scrappy, tenacious, self-motivated, yet a team player with humility and a great sense of humor. Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact. Showcases high EQ - can collaborate effectively in a team environment. Experiences you’ve had: Graduating with a bachelor's or master's degree in Summer 2025, with academic and/or practical experience in fields such as computer science, data science, statistics, or product management . (Start date in our August 2025 cohort) Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau).  Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT4). Thorough knowledge in statistics and machine learning techniques. Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences. Exposure to and/or interest in technical development of software components and production models to learn how to form opinions on level of effort and feasibility. Compensation: Starting Salary: $95,000  Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Matching 401(k) plan Flexible PTO Top medical, dental, and vision coverage Subsidized meals at our onsite cafe, smoothie bars and coffee bars (aka $5 for a made-to-order salad, sandwich, pizza, or sushi, or $2 for a delicious smoothie or latte) Free onsite fitness classes, premier wellness center, spin studio, basketball court, and yoga studio Casual dress code – yes, that means jeans! Who We Are Red Ventures is a global, multi-faceted company with a start-up mentality. Founded in 2000 with a focus on establishing strategic partnerships with Fortunate 500 companies, we grew rapidly within those first 10 years, quickly becoming a unicorn by utilizing our proprietary technologies to win in the digital marketing space. In 2015, we entered the age of acquisitions and began growing our own portfolio of owned and operated businesses. Over the subsequent years we diversified the types of industries we worked in and now work with over 100 brands. Every day, we help millions of people discover pertinent information that helps them make some of life’s biggest decisions, from their health to their home to their finances, among the plethora of industries in which we operate. Whether you work with a brand you know or a brand you’ve never heard of, you’ll know that your work is being seen and making a difference. For more information, visit  https://redventures.com and follow @RedVentures on social platforms. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.  We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact  accommodation@redventures.com.  If you are based in California, we encourage you to read this important information for California residents linked here . #LI   Click here for more details regarding the employee privacy policy:  https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to  employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

🚀 About Lila Sciences Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way. If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply. 🌟 Your Impact at Lila Lila Sciences is seeking a Director of Data Science to join our Life Science Research department and serve as a strategic, hands-on leader supporting teams of wetlab biologists, AI researchers, and automation engineers. In this role, your primary responsibility will be for enabling the construction of Lila’s Scientific Superintelligence platform through leadership in statistical methods, experiment design, establishment of best practices for wetlab-drylab integration, and bioinformatic/cheminformatic data engineering. You will recruit and manage a group of data scientists and engineers that work hand in hand with wetlab-based scientists and engineers. You will be accountable for delivering robust, productionized methods for performing molecular design and studying new biology within Lila’s platform. 🛠️ What You'll Be Building Establish, lead, build, and mentor a group of data science and bioinformatics scientists and engineers dedicated to integration with wetlab-based scientists and engineers Companywide leadership in statistical methods for biological experiment design and analysis Establishment of best practices for wetlab-drylab integration Leadership of bioinformatic and cheminformatic data engineering 🧰 What You’ll Need to Succeed 10+ years of experience in bioinformatics and/or biological data science Ph.D. or equivalent early career experience in a relevant field 2+ years leading a team as a people manager or program leader Enthusiasm and passion for integrating computational and wetlab scientists Expertise in the application of AI/ML approaches to biomolecule design and/or experimental design Deep technical knowledge of one or more of the following: Protein design, nucleic acid therapeutics design, small molecule drug design, macrocyclic peptide drug design, cell therapy design 🌈 We’re All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. 🤝 A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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..."

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!