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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 10+ years in data science or machine learning roles, including 5+ 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. 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. 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

Acclaim Technical Services, founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow.   Our Defense & Homeland Security Division, based in Hanover, MD is seeking multiple NCU Data Science  Instructors with current TS/SCI with polygraph to deliver engaging, mission-aligned training for analysts operating in critical environments. The ideal candidate will translate complex concepts into accessible, meaningful instruction that empowers analysts to enhance their operational effectiveness and develop deeper competencies within their mission areas.   Key Responsibilities: Deliver interactive training sessions aligned with evolving mission requirements. Facilitate learning that helps analysts reach new levels of insight and performance. Adapt instructional methods to suit diverse learner needs and skill levels. Provide hands-on tutoring to analysts in respective technical subject areas. This would include one-to-one training sessions, quarterly seminars and virtual training support to include resolving course content issues and student questions. Collaborate with subject matter experts and leadership to refine course content and training as needed. Maintain an up-to-date understanding of mission areas and evolving analyst skill sets.   Required Qualifications: Teaching experience in relevant data science topics to include: visual data, Jupyter Notebooks, MS Excel formulas, Python, machine learning, data preparation, NetFlow, NLP, and Cyber Network Defense . Proven experience instructing or training professionals in mission-driven environments. Deep understanding of analytical tradecraft and intelligence or operations workflows. Exceptional communication and facilitation skills. A minimum of thirty-six (36) months relevant experience in the technical skill/area of expertise for which they are to provide training (Network Architectures of land-line, cellular, and satellite telephony systems, Cell phone operating systems, Satellite communication systems, Computer –to-computer network communication, Target Research, Tool fundamentals and other analyst tools, Geolocation Analysis, Social network Analysis, Network Characterization, Reporting Policies, Technical Reports, Data Science, etc.) . Adjunct Faculty certification is preferred. Current TS/SCI with polygraph clearance required.   Pay Range: There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families.   At ATS, you will be eligible to participate in a comprehensive benefits package such as: healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here Employee Resources . Equal Employment Opportunity / Affirmative Action ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status. Powered by JazzHR

At Caris, we understand that cancer is an ugly word—a word no one wants to hear, but one that connects us all. That’s why we’re not just transforming cancer care—we’re changing lives. We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: “What would I do if this patient were my mom?” That question drives everything we do. But our mission doesn’t stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare—driven by innovation, compassion, and purpose. Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins. Position Summary We are seeking a Staff Scientist to join the Data Science unit at our Cambridge, MA office to develop our core Caris data products. This role calls for a technical expert excelling at both (i) hands-on work with real-world clinico-molecular data and (ii) communicating and educating internal and external partners. Caris has collected an extensive multimodal clinico-molecular dataset with immense potential to impact cancer precision medicine – ranging from early target discovery efforts, through clinical trial design, as well as impacting patient care today. The scientist will work on a team with deep expertise in computational biology, data science, genomics, and pharma/biotech partnerships – with the unified goal of deriving maximal value from Caris’ data for external and internal research efforts to advance cancer care. Job Responsibilities Apply bioinformatics, data science, molecular biology, and computer science expertise to drive projects developing and refining Caris’ clinico-molecular data products for use by both external partners and internal Caris R&D. Communicate with external and internal partners on strategy as well as technical details of Caris data products. Educate partners on the use of Caris data products. Drive innovation by staying abreast of emerging data science tools, techniques, and best practices, and strategically incorporating them into our data products and workflows. Collaborate with research, clinical, and bioinformatics scientists to execute projects that translate scientific and clinical questions into analytical workflows, and exercise skill in delivering accurate data processing, quality control, and statistical analysis. Act as a subject matter expert on data science, collaborating with internal stakeholders, external partners, and customers to provide technical expertise, foster collaborations, and contribute to the development of joint research projects. Required Qualifications Education: PhD in computational biology, bioinformatics, genomics, or related quantitative fields. Experience: At least five years post-PhD work experience Strong technical competency: Deep experience analyzing and deriving insight from standard genomic data types (e.g., gene expression, whole exomes). Strong programming skills (python required) and experience working collaboratively on software development. Strong attention to detail and drive for scientific and technical rigor. Strong communication skills: A primary responsibility of this role is external communication at both general and specialist levels. The ability to clearly present nuanced technical material to a variety of stakeholders is critical. Experience working with large datasets (e.g., hundreds, or thousands of bams). Enthusiasm for working in a highly collaborative environment. Strong problem-solving and analytical skills. Proven ability to manage time effectively, respond quickly to changing priorities, and adapt within a fast-paced environment. Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use. Preferred Qualifications Experience working in an industry setting. Experience working with real-world datasets. Domain experience in oncology or immunology. Experience working in cloud (preferred) or high-performance compute (HPC) clusters. Physical Demands Will work at computer most of the time Training All job specific, safety, and compliance training are assigned based on the job functions associated with this employee. Other This position requires only rare travel and some evenings, weekends and/or holidays. Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions ) and reference verification. This job description reflects management’s assignment of essential functions. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Acclaim Technical Services, founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow.   Our Defense & Homeland Security Division, based in Hanover, MD is seeking multiple NCU Data Science  Instructors with current TS/SCI with polygraph to deliver engaging, mission-aligned training for analysts operating in critical environments. The ideal candidate will translate complex concepts into accessible, meaningful instruction that empowers analysts to enhance their operational effectiveness and develop deeper competencies within their mission areas.   Key Responsibilities: Deliver interactive training sessions aligned with evolving mission requirements. Facilitate learning that helps analysts reach new levels of insight and performance. Adapt instructional methods to suit diverse learner needs and skill levels. Provide hands-on tutoring to analysts in respective technical subject areas. This would include one-to-one training sessions, quarterly seminars and virtual training support to include resolving course content issues and student questions. Collaborate with subject matter experts and leadership to refine course content and training as needed. Maintain an up-to-date understanding of mission areas and evolving analyst skill sets.   Required Qualifications: Teaching experience in relevant data science topics to include: visual data, Jupyter Notebooks, MS Excel formulas, Python, machine learning, data preparation, NetFlow, NLP, and Cyber Network Defense . Proven experience instructing or training professionals in mission-driven environments. Deep understanding of analytical tradecraft and intelligence or operations workflows. Exceptional communication and facilitation skills. A minimum of thirty-six (36) months relevant experience in the technical skill/area of expertise for which they are to provide training (Network Architectures of land-line, cellular, and satellite telephony systems, Cell phone operating systems, Satellite communication systems, Computer –to-computer network communication, Target Research, Tool fundamentals and other analyst tools, Geolocation Analysis, Social network Analysis, Network Characterization, Reporting Policies, Technical Reports, Data Science, etc.) . Adjunct Faculty certification is preferred. Current TS/SCI with polygraph clearance required.   Pay Range: There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families.   At ATS, you will be eligible to participate in a comprehensive benefits package such as: healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here Employee Resources . Equal Employment Opportunity / Affirmative Action ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status. Powered by JazzHR

Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude. We are seeking a Director of Data Science. This role will be responsible for the overall leadership and management of the data science team at Machinify, and requires a deep technical background, strong leadership skills, and the ability to drive innovation and excellence in a fast-paced environment. Reporting to the Chief Data Scientist, the Director of Data Science will collaborate closely with other leaders to align engineering efforts with the company's strategic goals. What you will do: Provide direction and guidance to a team of Senior and Staff Data Scientists, enabling them to do their best work Collaborate with the leadership team to define key technical and business metrics and objectives Translate objectives into internal team priorities and assignments Drive sprints and work with cross-functional stakeholders to appropriately prioritize various initiatives to improve customer metrics Hire, mentor and develop team members Foster a culture of innovation, collaboration, and continuous improvement Communicate technical concepts and strategies to technical and non-technical stakeholders effectively Own the success of various models on the field by continuously monitoring KPI’s and initiating projects to improve quality. What you bring: Degree in Computer Science, Engineering, or a related field 10+ years of data science experience, with at least 5 years in a leadership role, including a leadership role at a start-up. Proven track record of managing data teams and delivering complex, high-impact products from concept to deployment Strong knowledge of data privacy regulations and best practices in data security Exceptional team management abilities, with experience in building and leading high-performing teams Ability to think strategically and execute methodically Ability to drive change and inspire a distributed team Strong problem-solving skills and a data-driven mindset Ability to communicate effectively, collaborating with diverse groups to solve complex problems You embrace challenges with optimism and a balanced, and bring a business-oriented approach to product development You prioritize customer impact, ensuring your work significantly advances our product value What we offer: A flexible and trusting environment where you'll feel empowered to do your best work. Work from anywhere in the US! Our team is distributed and most of us work from home. Hardworking and supportive colleagues, and a leadership team that understands the importance of recruiting and retaining top talent. Incredible medical, vision, and dental benefits for employees & their families. Competitive salary and equity, 401(k) sponsorship. Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.

Cytokinetics is a late-stage, specialty cardiovascular biopharmaceutical company focused on discovering, developing and commercializing first-in-class muscle activators and next-in-class muscle inhibitors as potential treatments for debilitating diseases in which cardiac muscle performance is compromised. As a leader in muscle biology and the mechanics of muscle performance, the company is developing small molecule drug candidates specifically engineered to impact myocardial muscle function and contractility. As the Director, Global Supply Chain & Analytics, you will be responsible for assisting the Supply Chain Organization and its leaders in making data-driven decisions and optimizing supply chain operations within the pharmaceutical industry. This individual will leverage advanced analytics, AI, and industry knowledge to enhance the efficiency, effectiveness, and resilience of the global pharmaceutical supply chain. This role will involve working closely with cross-functional teams, including procurement, logistics, manufacturing, and quality assurance, to improve forecasting, inventory management, and overall supply chain performance. Key Responsibilities 1. Analytics Strategy & Supply Chain Optimization Lead the development and implementation of analytics strategies to optimize supply chain & technical operations processes in the pharmaceutical industry. Provide strategic insights that help the organization streamline operations, reduce costs, and improve the flow of materials from manufacturing to distribution. Analyze large datasets from various sources (inventory management systems, production data, distribution networks) to uncover inefficiencies and bottlenecks in the supply chain. Support and enable the development of KPIs in collaboration with business and functional leaders to measure efficiency, cost-effectiveness, and risk management within the pharmaceutical supply chain. 2. Data Integrity, Governance & Security Ensure data integrity, governance, and security within supply chain analytics platforms. Lead the integration and implementation of advanced analytics tools, systems, and platforms to streamline supply chain operations. Lead Master Data Management Program for Supply Chain 3. Advanced Analytics & Predictive Modeling Develop and deploy predictive and prescriptive models to improve demand forecasting, inventory management, production scheduling, and distribution planning. Implement and utilize advanced analytics techniques such as machine learning, statistical modeling, simulation, and optimization to enhance decision-making and operational performance. Develop and enhance forecasting models to predict demand and supply fluctuations, ensuring timely availability of pharmaceutical products while minimizing excess inventory. 4. Risk Management & External Analysis Analyze external factors such as market trends, regulatory changes, and supply disruptions to inform proactive risk management strategies. Lead initiatives to monitor and mitigate risks related to supply chain disruptions, ensuring continuity of supply for critical products. 5. AI & Technology Adoption Drive AI adoption in supply chain and operations, including deployment and best practices. Look for opportunities to turn business needs into AI solutions and explain them clearly to non-technical stakeholders. Oversee AI supply chain projects from start to finish, ensuring successful implementation and optimization. 6. Project Management & Innovation Knowledge of project management methodologies (e.g., Agile, Scrum) and the ability to manage both long-term strategies and short-term tactical improvements. Stay abreast of industry trends, emerging technologies, and regulatory developments impacting the pharmaceutical supply chain, and drive innovation initiatives to capitalize on opportunities for process optimization and differentiation. Qualifications Bachelor’s degree in Supply Chain Management, Operations, Data Science, Engineering, Business, or a related field. Master Data Management Expertise Master’s degree or MBA preferred, with additional certifications in supply chain or data analytics (e.g., APICS, Six Sigma, PMP). Minimum 10+ years of experience in supply chain analytics, data science, or operations, with at least 3 years in the pharmaceutical or healthcare sector. Proven experience in leading analytics-driven projects that improve supply chain performance. Experience working with supply chain management software and ERP systems (e.g., SAP, Oracle, or similar). Familiarity with pharmaceutical supply chain regulations and industry best practices. Proven leadership abilities, with a demonstrated ability to inspire and motivate teams, foster a culture of collaboration and innovation, and drive results in a dynamic and fast-paced environment. Our passion is anchored in robust scientific thinking, grounded in integrity and critical thinking. We keep the patient front and center in all we do –all actions and decisions are in service of the patient and their caregivers. We champion integrity, ethics, doing the right thing, and being our best selves. Pay Range: Our employees come from different backgrounds, and we celebrate those differences. We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at Cytokinetics and believe you can add value to our team, we would love to hear from you. Please review our General Data Protection Regulation (GDPR) policy PRIOR to applying. Our passion is anchored in robust scientific thinking, grounded in integrity and critical thinking. We keep the patient front and center in all we do – all actions and decisions are in service of the patient and their caregivers. We champion integrity, ethics, doing the right thing, and being our best selves. Fraud Warning: How to Identify Impersonated Cytokinetics Job Postings and Offers Recently, there have been fraudulent employment offers being sent to candidates on behalf of Cytokinetics. Please be advised that all legitimate offers from Cytokinetics will come directly from our official email domain (Cytokinetics.com) and will only be made after completing a formal interview process. Here are some ways to check for authenticity: We do not conduct job interviews through non-standard text messaging applications We will never request personal information such as banking details until after an official offer has been accepted and verified We will never request that you purchase equipment or other items when interviewing or hiring If you are unsure about the authenticity of an offer, or if you receive any suspicious communication, please contact us directly at talentacquisition@cytokinetics.com Please visit our website at: www.cytokinetics.com Cytokinetics is an Equal Opportunity Employer

This position is posted by Jobgether on behalf of SandboxAQ . We are currently looking for a Head of Data Science/ML – AQMed in Palo Alto, CA . This leadership role offers the opportunity to shape the future of medical diagnostics by spearheading AI-powered innovations that directly impact patient outcomes. As the Head of Data Science/ML, you will lead the development of user-centric, scalable data products derived from proprietary sensing technologies. You'll work cross-functionally with Product and Engineering to drive strategic initiatives and bring transformative medical tools to market. This is a hands-on leadership position for a results-driven professional with a passion for healthcare innovation and real-world impact. Accountabilities: Collaborate with Product and Engineering to define and execute the data product vision and roadmap, incorporating ML capabilities where beneficial. Lead the Data Science/ML team in designing, developing, and scaling data products that convert clinical signals into actionable insights. Translate user needs, clinical feedback, and business objectives into clear technical requirements and prototypes through iterative development. Establish and track OKRs for the DS/ML function, ensuring timely delivery, scalability, and performance of solutions in production environments. Balance fast-paced execution with high standards in research, keeping up with cutting-edge ML techniques and their real-world applicability. Serve as a key representative of the organization to clinical, regulatory, and industry partners; elevate the team’s profile through publications, conferences, and external collaborations. Mentor and grow a high-performing, multidisciplinary data science team while fostering a culture of innovation and collaboration. Requirements 10+ years of experience in engineering and product leadership roles, including hands-on development and managing technical teams. Advanced degree (MS/PhD) in engineering, computer science, AI/ML, mathematics, or a related field. Proven success delivering AI-driven medical software or data products from concept to commercialization (stages 0-4+). Strong ability to communicate technical strategies and outcomes at the executive level and across cross-functional teams. Demonstrated success in leading multidisciplinary teams with a user-first approach, balancing clinical needs, business goals, and technical feasibility. Action-oriented mindset, capable of driving innovation while navigating time-sensitive product development cycles. Willingness and ability to work onsite at the Palo Alto office at least 50% of the time. Nice to Have : Experience in cardiovascular devices or deep knowledge of cardiac electrophysiology. Familiarity with regulatory and quality standards in medical device development. Benefits Competitive base salary between $204,000 – $286,000 annually, based on experience and qualifications. Annual discretionary bonuses and potential equity options. Comprehensive health coverage (medical, dental, vision). Paid time off including summer/winter breaks and generous leave policies. 401(k) plans and financial wellness resources. Fertility and family planning benefits. Opportunities for continuous learning and professional development. A collaborative, inclusive, and mission-driven culture at the forefront of AI and healthcare innovation. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.   The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.   Thank you for your interest! #LI-CL1

Job Title : Data Science Lead Location : Los Angeles, CA Type : 3 + Months Rate : $Open (Best Possible) Core Requirements Bachelor’s degree in Computer Science or related field preferred. 7+ years of professional experience A focus on hardware is going to be key. Experience in GPU programming models, such as OpenCL or CUDA. Experience with cross platform model compilers like ngraph, XLA, TensorRT, etc. Systems-level experience with Linux Operating System. Previous experience leading assessments or evaluations (proof-of-concept type work). Strong communication skills are required as there is heavy client engagement on a day-day basis. Note: If interested please send your updated resume and include your rate/Salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are also market leaders in AI and analytics consulting in the CPG and retail industry, with over 40% of our revenues coming from this sector. This is our fastest-growing sector, and we are expanding our talent in this space. We are seeking an individual with a strong combination of business consulting skills and a background in data analytics to join our team. Responsibilities: Work on the latest applications of data science to solve business problems in the space of Retail. Work directly with client stakeholders to translate business problems into high-level analytics solution designs. Present analytic solutions to business audiences, highlighting the robustness of the solution and how it could help generate business value. Responsible for managing analytics projects, collaborating with client stakeholders and Tiger’s team situated globally. Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights. Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize analytic solutions. Requirements 12-17 years of professional work experience with at least 7 years in data analytics Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems to a high-level analytics solution approach. Strong project management and team management skills, and the ability to work with global teams. Solid understanding of statistical and machine learning algorithms is a plus. Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Qlik or Tableau is a plus. Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus. Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes. Graduate in Business Analytics or MBA or equivalent work experience. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Title: Data Science and Analytics Location: New York City Duration: 3 months to perm Responsibilities: •Deliver Data-driven, actionable insights •Analyze on-site customer journeys under an optimization-focused lens •Present insights to clients and account teams in a compelling and relevant story with recommendations backed by robust analysis •Provide strategic guidance on analytics and measurement strategies, while leading by example with an active delivery role •Develop an intimate understanding of our clients business and their customers, and pro-actively identify ways to help our clients achieve their goals •Work closely with account teams to identify opportunities, participate in sales pitches and strengthen leadership position in digital transformation •Collaborate with cross functional teams, including creative, design and technology to shape meaningful customer journeys and customer centric thinking Experience Guidelines: •3-6 years of experience with a focus in Site Analytics and Optimization or related fields. •Bachelor’s degree, in Marketing, Business, Engineering or a related field. •Passion for digital analytics, working with data and deriving insights to answer client business questions •Experience leading and delivering analytics engagements • Strong knowledge of the digital space and digital analytics •Strong communication and client service skills •Strong organizational skills and attention to detail •Strong consultative skills and the ability to challenge status quo and gain adoption •Comfort with working in and contributing to a fast-paced, team based environment •Management or mentorship experience - providing training, project support, career advice and delegated responsibilities •Proficiency in Adobe Analytics and other Adobe Marketing Cloud products, specifically Test and Target •Proven ability to influence stakeholder and senior leaders, and manage organizational change •Recruit and Manage team of ‘rock-star’ analysts •Build a customer obsessed culture and grow our business

Job Description Who We Are: Night Market’s, the commerce affiliate of Horizon Media, is a technology driven organization that helps advertisers gain a better understanding of the changing eCommerce landscape and ignite innovation around ways to plan, manage, and optimize eCommerce media, providing data-driven insights that inform brands’ entire eCommerce strategy to drive desired business outcomes. Our end-to-end optimization platform, NEON , uses an ensemble of advanced models to provide macro (budget rebalancing across channel-tactic level) and micro (in-tactic detailed maximization using proprietary methods) optimizations to holistically improve performance. This fulltime opportunity is for a talented data scientist to work on client-related services in the area of creative experience analytics, eventually transitioning these capabilities into the NEON product. Job Summary: Prior experience working at a marketing agency and/or a consulting firm on a marketing data science, advanced analytics development, and/or user behavior or engagement team is required. Role will require editing and creation of smart models for client deliverables and within the NEON platform. In this role, the candidate will work with other Commerce Experience (CX) and NEON team members across client success, engineering, product, and data engineering. Role will require hands-on programming skills. The projects this position will work on include (but are not limited to) a range of creative artificial intelligence (AI) use cases such as: creative trend projection, multivariate creative and A/B testing, creative copy optimization, conversion rate optimization, creative asset management/versioning, image/video classification and object detection, custom audience segmentation, predictive scoring using categorical or labelled datasets, and targeting strategies. This level of the position and the rate for this position will be commensurate with experience. What You’ll Do / Responsibilities Create and elevate current analytics methodology, build a replicable statistical framework, within the constructs of a composable analytics framework and the NEON platform Model outputs and inputs, working with the Data Engineering team to assure data processes are automated and efficient Work alongside product leads, business leads, data scientists, data engineers, front-end developers, and designers Incorporate multiple 3rd party APIs & other datasets from different sources, into one (or more) custom-developed measurement and display systems. Demonstrated ability to extract business insights from large datasets and use them to drive business change Mine, aggregate and analyze data from databases to drive optimization and improvement Familiarity of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, computer vision techniques, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Help build and validate requirements and use cases between the core NEON team and the CX team. Evaluate external AI solutions for their modeling and predictive strength, that may be pertinent to the CX use cases to complement NEON featureset in addition to ones being built in the ensemble of models. Who You Are: At least 7 years experience in Machine Learning client analytics role Experience in working with client services teams and communicating technical findings directly with client technical team members. Domain expertise in the area of creative analytics and creative and/or conversion rate optimization strategies Deep expertise in Python (and libraries), R, SQL Ability to operate in Snowflake, AWS infrastructure of S3/EC2, etc Proven experience to interact in a collaborative fashion with Product Management from analytic conceptualization, through hands on exploratory data analysis (EDA), piloting and production rollout within performant backend APIs Independently motivated to conceptualize and execute proactive client analysis Existing skill sets in machine learning, computer vision and product development Communication skills and an ability to collaborate with clients Hold an undergraduate degree in math, statistics, computer science or other technical degree Superb problem synthesis and communication skills Keen attention to detail and data integrity The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the employer. #LI-HYBRID #LI-KG1 #HMNM Horizon Media is proud to be an equal opportunity workplace. We are 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Salary Range $170,000.00 - $200,000.00 A successful applicant’s actual base salary may vary based on factors such as individual’s skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.

FACULTY POSITION emlyon business school invites applications for a full-time faculty position in Data science, open at the Associate Professor level, to begin in September 2026. We are looking to recruit either: A candidate with a strong academic research profile, capable of publishing in top-tier journals and contributing to the school's international research visibility; or A candidate with a strong pedagogical profile, experienced in action learning, experiential education, and real-world project-based teaching; or A hybrid profile, demonstrating excellence in both dimensions. This position is part of emlyon's broader strategic ambition to combine academic excellence with impactful, hands-on learning that is deeply connected to the business world and societal challenges. YOUR ROLE AT EMLYON The selected candidate will join the Department (*) of ODAI and the QUANT Research Centre ( https://aim.em-lyon.com/quant/ ), contributing to: Cutting-edge research in their area of expertise; The development and delivery of innovative, action-based learning experiences, closely tied to the professional ecosystem (corporates, startups, NGOs, etc.). Teaching responsibilities include undergraduate (BBA), graduate (Programme Grande École), and master's level programs. Most courses will be taught on the Lyon campus, with possible sessions on other emlyon campuses in France or internationally. Teaching topics are focused on Applied mathematics and statistics, Data science approaches, tools and methods, including data visualization. CANDIDATE PROFILES - We Are Open to Different Strengths We are open to diverse academic trajectories, and encourage applications from candidates who correspond to one of the following: Research-Focused Profile Ph.D. in data science, statistics or a related discipline Proven publication record (or high potential) in top-tier journals (e.g., FT list) Ability to supervise doctoral students and collaborate on funded research projects Interest in pedagogical innovation and contribution to program development Teaching-Oriented Profile Experience in project-based pedagogy, live business cases, corporate challenges, or learning-by-doing models Strong connections with business or institutional partners Ability to design and coordinate courses with a high level of engagement and applied learning Willingness to contribute to the strategic positioning of action learning within the school Hybrid Profile Balanced expertise in both research and pedagogical innovation Ability to create synergies between research, teaching, and practice Interest in making academic knowledge actionable in the classroom and beyond Additional Requirements Desire to work in a collaborative, international environment Capacity for institutional service (program management, curriculum design, external representation) Fluency in English required; knowledge of French is a plus but not mandatory Willingness to relocate to Lyon or surrounding area (relocation support provided) The candidate will be expected to contribute to and will be regularly evaluated based on three areas of activities: (1) research performance, (2) teaching and student supervision, and (3) institutional service (e.g., administration, service in committees, representation of the school in the media and events). We strongly encourage people of all backgrounds (gender, ethnic background, nationality) to apply. Fluency and teaching experience in English is required. French skills are a plus. The selected candidate is expected to be based in Lyon or nearby area. emlyon has set-up a relocation policy to support the moving process. Salary and conditions are competitive and will be commensurate with qualifications and experience. THE SCHOOL Founded in 1872, emlyon business school is one of the oldest business schools in Europe. It belongs to the top 1% of business schools worldwide recognized by the triple accreditation: EQUIS, AACSB, and AMBA. emlyon business school welcomes 9,260 students from 130 nationalities across its four campuses in Lyon, Shanghai, Paris, and Mumbai. The School relies on a Faculty of 174 international professors and researchers, as well as a network of 220 academic partners, to deliver top-quality trainings recognized in the world's best rankings. It boasts a community of 48,000 alumni. As a Mission-driven company since 2021, emlyon business school cultivates the ability to drive change in resonance with the world by placing the hybridization of skills with social and environmental responsibility at the core of its training programs, supported by teaching methods that combine action and thinking. emlyon has endorsed the European Charter for researchers and is awarded HR excellence in research by the European Commission. The HR Strategy for Researchers (HRS4R) is available at the following link: https://em-lyon.com/en/faculty-and-research/hr-strategy-for-researchers THE ENVIRONMENT emlyon business school is at the center of a vibrant ecosystem of large universities with excellent research teams in engineering, computer science, natural sciences, social sciences, and the humanities (see: https://www.lyoncampus.com/en/welcome/lyon-a-city-of-innovation ) Lyon is the second largest city in France, with a long entrepreneurship tradition and a solid digital industry. Further information About emlyon business school: http://www.em-lyon.com/en/ THE APPLICATION SHOULD CONSIST OF: A cover letter including the motivation to join emlyon business school An up-to-date curriculum vitae A research statement A teaching statement (with teaching evaluations, where available) A list of papers under review or in progress Two references/names with contact information Possible questions about the position can be addressed to Professor Benoit Loeillet, Head of the ODAI department and chair of the recruitment committee at emlyon business school: loeillet@em-lyon.com All application materials should be submitted in English via this website page. The application materials will not be returned. RECRUITMENT PROCESS emlyon business school complies with the Open, Transparent and Merit-based Recruitment principles as stated in the European Code of Conduct for the recruitment of researchers. The selection committee is appointed by the Head of department and composed of three to eight professors, ensuring a balanced representation of gender, national origin, and professor grades. Pre-selection step: the selection committee reviews all the applications to short-list the candidates who meet the most criteria as described in the candidate's characteristics. Short-listed candidates are invited to a recruitment day (held by videoconference in most cases) with a) a job talk presentation b) one-on-one interviews with committee members. Each permanent professor attending the job talk completes an assessment grid, and the results are aggregated to identify the top one and top two applicants. Finalists are interviewed by the Dean for Faculty & Research and/or the Associate Dean for Research. The final decision is communicated by the Dean for Faculty & Research. SUBMISSION DEADLINE: 1st December 2025 emlyon reserves the right to consider applications submitted after the deadline. ------------------------------------------------------------------------------ (*) The ODAI (Operations, Data & AI) department is home of 17 researchers with diverse backgrounds and interests in decision making and data science, including AI. The ODAI department strives for high quality research, which is reflected in its publication record in top level journals. Close links with different types of organizations provide opportunities for research and engaged scholarship. The department develops and offers to many programs at the school courses that include (not exhaustively) Operations Management, decision aid-technics, data analysis, and applied AI related methods. Members often work conjointly on designing and updating the content and offered teaching approaches and experiences.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you’ll be doing... Join the Digital Marketing & Base Management organization focused on business intelligence, strategic targeting, and opportunity conversion optimization for Verizon (VZ).The Base Management team enables information that will guide customer personalization strategies and decision making across all lines of business. Insuring the right opportunities are prioritized and presented to the right customer at the right time optimized for revenue growth and preservation. Business Intelligence (BI) resources work to cultivate a semantic layer bringing together different data elements from multiple sources. Responsibilities include: Designing and creating fact tables, dashboards, and reporting. Leading the collection and aggregation of corporate relevant datasets to support BI enablement. Driving standardization, efficiency and continuous improvement of data management. Leveraging customer engagement data to measure performance of marketing strategies. Establishing automated controls to notify process owners when their key business metrics change. What we’re looking for... You’ll need to have: Bachelor's degree or four or more years of work experience. Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training. Experience with systems, master data and data architecture to pull data from numerous tables from multiple sources to be merged and analyzed. Experience creating and maintaining Teradata and/or BigQuery SQL. Experience with one or more reporting/analytics tools such as Qlik or Tableau. Experience working with ETL utilities (Fastload, Multiload, BTEQ, and TPump). Knowledge of office productivity software (G Suite or Office 365 or JIRA). Even better if you have: Master’s degree. Ability to work independently and own end to end responsibilities for project execution. Curious, analytical mind with the ability to identify and assess key business risks and controls. Experience working in cross-functional CRM programs. Experience working analytical projects in the telecom domain. Data Warehouse knowledge and experience with automation scripting. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Benefits and Compensation Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, stock incentive programs, up to 8 company paid holidays per year and up to 6 personal days per year, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $120,500.00 - $231,000.00. The annual salary range for the New York location(s) listed on this job requisition based on a full-time schedule is: $132,500.00 - $231,000.00.

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. E dwards 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.

WHAT WE DO MATTERS: At The Knot Worldwide, we champion celebration - and that starts with celebrating our people. Our employees are passionate dreamers, thoughtful doers, and lifelong learners who power meaningful moments for millions around the world. We’re united by authentic connection, shared purpose, and a deep commitment to the global community we serve. Here, flexibility and belonging go hand in hand with high performance. We believe the best ideas come from empowered teams: those who consistently collaborate with intention to design solutions, spark ideas, and drive impact. We inspire, we build, and we celebrate. We dream big, love our users, hustle every day, and always do the right thing to win - together. Our people are at the heart of our success. About the Role and Team The Knot Worldwide is actively seeking a skilled Lead Data Scientist to become an integral part of our Marketing Science team. This role is centered around utilizing advanced analytics and statistical methods to empower our marketing team with insights that optimize performance. As a Lead Data Scientist, you will develop analytical tools, conduct ad-hoc analyses, and assist in correlating user activity with marketing initiatives. Your involvement will extend to statistical modeling, investigations, and visualizations, collaborating with various teams to drive measurable outcomes. As a member of the wider Data organization within TKWW, your primary focus will be on constructing analytic models and designing as well as analyzing experiments to quantify the impact of your contributions. In this capacity, you will serve as both a valued partner and trusted advisor, playing a pivotal role in our data-driven decision-making process across the Data and Marketing departments. As a Lead Data Scientist, you will be responsible for: Collaborating with marketing stakeholders across Brand Media, Lifecycle Marketing, Product Marketing, or Acquisition Marketing to provide data-driven insights. Conducting in-depth analysis of TKWW user behavior to identify growth opportunities that enhance couple or vendor acquisition and engagement. Tackling advanced analytics challenges related to media mix modeling, geographic experimentation, landing page testing, and lifetime value prediction. Spearheading end-to-end projects from initial ideation and business alignment, through to measurement and deployment of insights. Assisting teams in defining KPIs, setting strategic goals, and designing and analyzing A/B testing for data-driven decision making. Developing and maintaining reports and data products for the organization using various BI tools such as Preset, Looker, Shiny, or Streamlit. Effectively communicating, collaborating and presenting results to stakeholders within TKWW to drive data-informed decisions. Investigating novel methodologies to analyze our data for continuous improvement. Mentoring junior team members in analytic and statistical best practices. To be successful in this role, you should have: A bachelor’s or master’s degree in Statistics, Mathematics, Data Science, Engineering, or a related field A minimum of 5-8 years of experience in data science and analytics roles within technology brands, with a preference for experience in a two-sided marketplace or e-commerce domain. Demonstrated experience and knowledge in metrics and models relevant to Marketing such a Media Mix Modeling. Foundational knowledge of statistics including hypothesis testing, regression analysis, and forecasting, and hands-on experience with A/B testing design and analysis. Advanced knowledge of SQL and ability to write efficient SQL code Ability to code in Python for data manipulation, visualization, and analysis using Jupyter notebooks Experience in using and building self-service analytics tools. Excellent communication skills, both written and verbal, with the ability to explain complex concepts to audiences of varying technical proficiency. A strategic mindset capable of translating business problems into analytics opportunities and solutions. A collaborative attitude that fosters a culture of data-driven decision making across the organization. An innovative spirit that thrives on exploring new ideas and approaches to solve challenging problems. At The Knot Worldwide, we believe you are more than a resume and invite you to go for it, take the leap of faith, and apply for this job if it sparks your passion to join TKWW and make a difference! WHAT WE LOVE ABOUT YOU: You Dream Big. You iterate and experiment to drive innovation. You Love Our Users. You keep our global community at the center of everything you do. You Do the Right Thing. You strengthen your team through respect, fairness, and inclusion. You Hustle Every Day. You favor urgency and own your outcomes. You Win Together. People are at the heart of our success and you play as a team. WHAT YOU LOVE ABOUT US: We believe in a wide range of holistic offerings to support our employees so that they can live our values day in and day out. From mental wellbeing, physical health and financial planning, to engaging perks and discounts, we are in the business of celebrating and supporting the Moments that Matter both in and out of the “office”. We offer flexible vacation, generous parental leave and prioritize initiatives that support the growth, development, and happiness of our people. Together@TKWW is our approach to hybrid work. It’s designed to support how we work best: combining the flexibility we value with meaningful opportunities to connect in person. Whether a role is Together@TKWW-eligible or not, we believe in purposeful moments to come together, build strong relationships, and drive bold ideas forward. For Together@TKWW-eligible roles, this includes regular in-office time to foster collaboration and connection. For roles not eligible for in-office expectations , we support connection through virtual collaboration and intentional gatherings. To facilitate in-person collaboration, we have office spaces in Barcelona, Spain; Delhi, India; Galway, Ireland; London, England; New York, NY; and Washington, D.C. -- US Notice: The Knot Worldwide provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, or disability. In addition to federal law requirements, The Knot Worldwide complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. The Knot Worldwide expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Privacy Notice: TKWW processes your personal data as part of the recruitment process, based on the legal basis of executing pre-contractual measures at your request. This means we use your information to assess your application and carry out the necessary steps for a potential employment contract. Only the information strictly necessary for evaluating your application is collected. You can request access, rectification, or deletion of your data. For more information on how we handle your personal data, please refer to our . If you wish to file a complaint, you may contact the competent data protection authority.

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Data Science Sr. Manager is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities: 50% People Management & Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments 15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs 25% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management 10% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged Direct Manager/Direct Reports: This position reports to Director or above This position has Direct Reports and manages programs Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Demonstrated proficiency in predictive modeling, data mining and data analysis Proficient managing and growing team members in a professional setting Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting Demonstrated experience with translating high level strategy to tactical execution Preferred Qualifications: 11+ years of experience in business intelligence and analytics Previous people or project team management experience Demonstrated expertise in predictive modeling, data mining and data analysis Mastery running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Mastery utilizing statistical techniques to identify key insights that help solve business problems Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 10 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Persuades: Using compelling arguments to gain the support and commitment of others Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Platform’s Data Solution team you are expected to work closely with leaders across product functions to design the analytics roadmap and to support and implement top quality data driven decisions and deliverables. As a Senior Manager you are expected to lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You are expected to develop and implement quality controls and standards to confirm data integrity and quality. Responsibilities - Design the analytics roadmap in collaboration with leaders - Support and implement data-driven decisions - Lead large projects confirming operational excellence - Interact with clients at a strategic level to drive success - Develop and implement quality controls for data integrity - Innovate processes to enhance data quality - Deliver top-quality data solutions - Foster relationships with product function leaders What You Must Have - High School Diploma - 6 years of progressive roles managing IT architecture and engineering designs and domains What Sets You Apart - Bachelor's Degree in Information Technology, Computer Systems Analysis, Management Information Systems, Computer Applications, Computer Engineering, Computer Programming preferred - Building relationships with clients and developing requests for information - Prioritizing and handling multiple tasks - Coaching and collaborating with colleagues - Understanding application of analytical techniques - Selecting necessary analytical techniques - Designing analytics roadmap and supporting data-driven decisions - Implementing quality controls and standards - Programming with Python and Java Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

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

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you’ll be doing... We use digital data as the fuel to propel us beyond our competition. As a Data Science Senior Manager, you’ll lead projects that develop and perform complex analyses using Big Data technologies. You’ll be constantly on the lookout for new modeling techniques, evolving technologies, and emerging industry trends so that we can stay ahead of the game. Your work will help us meet our customers’ needs and make it even easier for them to do business with us. Responsibilities include: Performing analyses to find actionable insights. Developing systems, applications, and visual dashboards. Conducting and guiding others through system usage assessments. Ensuring data quality and promoting process improvement. Handling security threats, and growing the dependability and reliability of our network through tools and software. What we’re looking for... With an eye towards improving performance and predictability, you like the science of analytics. Developing resolutions to complex problems, using your sharp judgment to develop methods, techniques, and evaluation criteria allows you to deliver solutions that make a huge impact. You’re able to communicate technical information to non-technical audiences, and you take pride in your ability to share your considerable knowledge with your peers. You’ll need to have: Bachelor’s degree or four or more years of work experience. Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training. Experience as a data scientist, analyst, or statistical modeler. Experience with visualization tools, like Tableau. Even better if you have one or more of the following: Degree in business intelligence and analytics, computer science, or mathematics. Master’s degree. Experience with Data Warehousing or Teradata SQL. Knowledge of distributive computing tools, like Hive or Spark. Experience with SiteCatalyst/Clickstream. Experience with programming languages, like Java, Python, or Scala. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Benefits and Compensation Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, stock incentive programs, up to 8 company paid holidays per year and up to 6 personal days per year, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $120,500.00 - $231,000.00. The annual salary range for the New York location(s) listed on this job requisition based on a full-time schedule is: $132,500.00 - $231,000.00.