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With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Principal Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making by leveraging mastery of both the business and Advanced Analytics Modeling techniques. Principal Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage. As a Principal Data Scientist, you will lead large data science projects, identifying opportunities to leverage the best technology and approach, and mentoring data scientists on the project team. This role is expected to contribute to Home Depot's intellectual property by developing cutting-edge, innovative algorithms. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, this role requires networking with experts, both academic and industry, to further the application of data science to business problems. Key Responsibilities: 25% Solution Development - Utilize advanced expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation; Test alternative methodology and cutting-edge algorithms on business problems to deliver even better solutions and recommendations 20% Project Management & Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage 35% 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; Define best practices and develop clear vision for data analysis and model productionalization; Support development of cutting-edge, innovative algorithms that would serve as Intellectual Property for Home Depot; Demonstrate and share technical expertise by attending conferences, speaking events and publishing papers; Be a thought leader within Home Depot in one or more Prescriptive Modeling techniques like optimization, computer vision, recommendation, search or NLP; Network with both academic and industry experts to further the application of data science to business problems Direct Manager/Direct Reports: This position typically reports to Senior Manager or above This position has 0 Direct Reports and leads/manages projects Travel Requirements: Typically requires overnight travel less than 10% 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. Preferred Qualifications: PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience. 10+ years of experience in business intelligence and analytics Expertise in a modern scripting language (preferably Python) Expertise running queries against data (preferably with Google BigQuery or SQL) Advanced knowledge of Microsoft Office Suite Expertise with data visualization software (preferably Tableau) Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated mastery in predictive modeling, data mining and data analysis Demonstrated mastery utilizing statistical techniques to identify key insights that help solve business problems 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: 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 Cultivates Innovation: Creating new and better ways for the organization to be successful Develops Talent: Developing people to meet both their career goals and the organization's goals 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 Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Persuades: Using compelling arguments to gain the support and commitment of others Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies Tech Savvy: Anticipating and adopting innovations in business building digital and technology applications The application window is anticipated to be closed on October 31, 2024.

About Us Diligent is the global leader in modern governance, providing SaaS solutions across governance, risk, compliance, audit and ESG. Empowering more than 1 million users and 700,000 board members and leaders with a holistic view of their organization's GRC practices so they can make better decisions, faster. No matter the challenge. At Diligent, you are an agent of positive change. You are joining a team of passionate, smart, creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place. Be a part of a global community on a mission to make a real impact. Learn more at diligent.com. Position Overview The Diligent Market Intelligence Editorial Team is looking for a Data Journalist/Data Science intern to join our team. This is an exciting opportunity to gain hands-on experience in data journalism and data science, contribute to meaningful projects, and learn from experienced professionals. You will collaborate with various departments to streamline workflows, support processes, and implement best practices. Excellent communication skills and the ability to set and manage expectations are key to success in this role. This individual thrives in a fast-paced, high-energy environment that will continue to scale and drive automation and efficiencies. Key Responsibilities Help streamline our editorial workflow by identifying areas where AI and automation can assist in reviewing regulatory filings or Excel spreadsheets. Utilize AI to identify and extract key financial data and generate text-based reports. Interview editorial team members to understand current research processes and identify bottlenecks. Qualifications and Competencies Familiarity with AI and data analysis. Interest in the media business and financial markets is a plus. Strong analytical and problem-solving skills. Excellent communication and training skills to interface with technical and non-technical stakeholders. Currently pursuing a bachelor's degree in Data Journalism, Data Science, or a related field (or equivalent work experience). Project Plan Goals: Identify and accomplish specific goals/milestones. Develop processes, including AI prompts or instructions, for generating research-heavy articles with improved efficiency and accuracy. Increase the speed and accuracy of reports. Scope of Work: Use AI to pull key data from multiple sources to create reports. Utilize AI to identify changes in stock ownership. Employ AI to identify changes in voting policies. End of Summer Project: Produce a report on how AI can assist in the research for news stories and reports. Present tools, outcomes, lessons learned, and recommendations Compensation: $20/hour What Diligent Offers You Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney. Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding. Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability - to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place. Headquartered in New York, Diligent has offices in Washington D.C., Baltimore, London, Galway, Budapest, Vancouver, Bengaluru, Munich, and Sydney. We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com. To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.

Job Description: The Los Angeles Unified School District seeks qualified proposers to provide Data Science Services on behalf of the Information Technology Services. Responsibilities: Set up R Studio Workbench, Connect, and Package Manager on a Linux server. Manage libraries and versions. Write required security plan. Work with security to connect the server to Snowflake and other data sources. Provision server access to data scientists, including R Studio Server, sftp, and command line. Provide training and support to data scientists, including training on visualization packages like ggplot2, Quatro, and Shiny. Guide data scientists on how to use version control with GIT/Azure Devops. Resource must have at least three (3) years of experience in providing services as listed

Site Name: USA - Massachusetts- Cambridge, GSK HQ, USA - Massachusetts- Waltham Posted Date: May 14 2025 Senior Director, Data Science Lead, Real-World Data, Measurement, and Analytics The Senior Director Data Science Innovation Lead will pioneer transformative solutions in real-world evidence generation in the Real-World Data, Measurement, and Analytics (RWDMA) organization, supporting the entire drug development life cycle from early development to late-phase clinical trials and post-approval market access and reimbursement. Leveraging the latest advancements in data sciences, such as multimodal AI, generative AI, knowledge graphs, causal AI and agentic AI, the Data Science Innovation Lead will develop and optimize statistical methodologies in comparative effectiveness analyses, precision medicine, predictive modelling, and evidence synthesis. In addition, the Innovation Lead will support AI-driven automation tools and deployment of intelligent systems for more efficient data processing and automate complex data analyses and QC processes, thereby accelerating development timelines while ensuring compliance with regulatory standards. Key Responsibilities Data Science Strategy & Leadership Align RWDMA Data Science initiatives with RWD organizational drug development goals, regulatory requirements (e.g., FDA, EMA), and payer expectations, ensuring strategic impact and compliance, particularly in RWD analytics. Lead RWDMA Data Science through a matrix organization, collaborating with biostatisticians, clinical and other subject matter experts, and regulatory specialists to lead innovative applications of Data Science in RWE generation and embed Data Science into RWD workflows to improve efficiency of data processing and analysis. Innovative Applications of Data Science in RWE Generation Design customized Data Science models tailored to specific RWD analytic applications, including: Comparative Effectiveness: Applying Data Science methodologies to evaluate treatment outcomes across diverse patient populations, supporting real world biostatistics and statistical programming efforts. Precision Medicine: Leveraging RWD to identify patient subgroups and biomarkers for tailored therapies. Predictive Modelling: Using advanced Data Science techniques (e.g., transformers, recurrent neural networks) to forecast disease progression, trial outcomes, and patient responses, and enhance insights from digital measurement and patient reported outcomes. Evidence Synthesis: Utilizing data science methodologies to integrate and synthesize findings from RWD and RCTs, including meta-analysis, indirect treatment comparisons, and network meta-analysis, to support comprehensive evaluations of treatment efficacy and safety. Automation & Process Optimization Automate coding, including clinical coding and patient identification, and quality control (QC) processes using AI-driven anomaly detection and pattern recognition to ensure the validity of statistical programs, as well as data integrity across large-scale RWD datasets. Develop Natural Language Processing (NLP) tools to automate the creation, review, and validation of analytic plans and protocols, ensuring compliance with regulatory and payer standards, benefiting data strategy and operational efficiency. Build AI systems to streamline administrative tasks, such as assessing analytic consistency with market access requirements, enhancing operational efficiency across drug development phases. Data strategy In alignment with DDF and D3 initiatives and the RWDSP team, assess the gaps in data needs in RWD and use potential Data Science applications to inform data strategy. Collaborate with the RWDSP, DDF, and data tech teams to optimize RWD storage, management, and access control to optimise RWD analytical workflows. Provide technical expertise and leadership on the usage of synthetic data in RWD and drug development. Collaboration & Thought Leadership Mentor team members in advanced Data Science methodologies, fostering a culture of innovation and technical excellence across real world biostatistics, digital measurement, and other focus areas. Spearhead methodological innovation and development in RWD Data Science, providing opportunities for mentoring and professional growth of junior RWDMA staff. Develop and manage an external engagement strategy with academic partners and key opinion leaders (KOLs) to foster collaborative research and development in RWD Data Science data science. Present Data Science analyses and insights clearly and effectively at conferences, in publications, and during key stakeholder meetings, reinforcing the value of RWD Data Science contributions. Qualifications Education and experience: PhD in Data Science, Biostatistics, Computer Science, or a related field. 15+ years in healthcare and life sciences, with significant exposure to pharmaceutical and/or medical device industries. 10+ years in clinical development or RWE generation within regulated environments, including hands-on leadership of Data Science projects. Demonstrated success in deploying DataOps, ModelOps, or MLOps pipelines in cloud platforms (e.g., Azure, AWS). Technical Skills: Expertise in statistical modelling, AI and machine learning techniques (e.g., Convolutional Neural Networks [CNNs], Recurrent Neural Networks [RNNs], Transformers). Proficiency in generative AI (e.g., LLMs, RAG, GANs, VAEs, and diffusion models) and the technical stack and tools (e.g., LangChain, LlamaIndex, CrewAI). Strong programming skills in Python, R, TensorFlow, PyTorch, and experience with cloud tools (e.g., Azure ML, AWS SageMaker), containerization (Docker), and version control (GitHub). Familiarity with multi-domain real-world data (e.g., clinical records, imaging, genomics, wearables, unstructured text). Achievements: Proven track record of innovation in Data Science applications for healthcare, evidenced by publications, patents, or industry recognition. Experience navigating ethical, privacy, and regulatory challenges in AI-driven healthcare solutions. #LI-GSK* Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US). GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

Our mission is to bring web3 to a billion people, by providing builders with the tools they need to build exceptional onchain products. Alchemy is the only complete developer platform that offers the powerful APIs, SDKs, and tools necessary to build and scale onchain apps and rollups. Our infrastructure powers 70% of the top web3 teams, 90%+ of web2 companies building in web3 and 100+ million end users. Our customers include top web3 brands like Polymarket, OpenSea, Circle, WorldCoin, as well as major global brands like Shopify and Adobe. The Alchemy team draws from decades of deep expertise in massively scalable infrastructure, AI, and blockchain from leadership roles at leading companies and universities like Google, Microsoft, Facebook, Stanford, and MIT. We're backed by the world's leading VCs and institutions, including: Lightspeed, Silver Lake, a16z, Coatue, Pantera, Addition, Stanford University, Coinbase, and Charles Schwab, among others. The Role Build out our data team - data engineering and data science. The goal is to help product teams and business leaders make informed decisions. This position is essential - as our company and user base continues to grow at a rapid pace, we're looking to find a leader to spearhead the development and growth of our data function. The team is expected to drive a wide range of initiatives: determining and measuring north star metrics, understanding our key growth vectors and how to optimize them, using AI to analyze the market and identify opportunities, derive competitive insights from public blockchain data, etc. You'll be working closely with our world-class growth, product, engineering, and marketing teams to help make data-driven decisions on how to best drive forward the company. What you'll do: Grow and manage a team composed of data engineers and data scientists Partner with product teams and business leaders across Alchemy to identify the highest leverage projects and decisions that we want to root in data. Lead the team to develop and implement data pipelines and data analyses so we get real-time business insights into all our business lines. Evangelize the use of data and AI across Alchemy, show everyone what is possible, in particular in the area of market intelligence. Build tooling so most questions can be answered in a self-serve manner. Build expertise with on-chain data sources, and solve some of the unique challenges that the industry faces in being able to observe trends across all chains in real-time. What we're looking for: 7+ years of experience in data engineering, data science, or related domains, and 3+ years of management experience Deep expertise in data pipelines, data science and data tooling Experience using AI tools Excellent communicator and are comfortable discussing complex technical concepts with engineers and partners at any level Strong analytical and problem-solving skills, with an ability to think critically and objectively assess security risks Experience working with startups Prefer experience with AWS, Snowflake, DBT, and Apache Superset Prefer experience working in Web3 Able to work Hybrid in SF or NYC only More on The Role Alchemy is committed to offering competitive compensation, including base salary as well as equity. Additionally, Alchemy offers comprehensive medical, dental, and vision coverage, as well as other benefits such as 401k and unlimited flexible time off. The base salary range for this position is estimated to be between $135,000 - $275,000 annually. Please note this range reflects base salary only, and does not include bonus, equity, or benefits. Your salary will be determined by various factors, including relevant experience, skill set, qualifications, and other business needs.

Meter's mission and long term ambition Meter builds better internet infrastructure. We make it exceptionally easy for any business to have great computer networking, internet, and Wi-Fi. Businesses of all sizes and industries increasingly rely on internet infrastructure for daily operations, yet getting connected today is incredibly difficult. To solve this problem, Meter builds and manages a vertically integrated solution across hardware, software, and operations. We believe people who build hardware and software should be the ones responsible for it. Our ambition is to evolve internet infrastructure into a utility. To turn internet infrastructure into a utility, we need to add intelligence to its performance, availability, and security layers. Our team has built Command , a generative UI product driven by a custom model, with many more model-driven initiatives described at meter.ai . We have the team, compute, and roadmap to execute on this. To create the best models possible, we need to continuously iterate on our model evaluations and training data This role is critical to Meter's success We are hiring a data scientist to assist in building and evaluating models. Your day-to-day responsibilities will be manifold – from working with our AI research team to perform analyses on training data, to writing evaluation examples based on customer use cases. There will be a lot of scripting to create analyses and data pipelines informed by interactions with end-users of our AI products. The right candidate will be able to leverage their expertise in data science and programming languages such as Python, JavaScript, or an equivalent to construct data pipelines. You will have an impact by Writing analysis scripts that correlate training data to model performance measured by benchmarks you define Creating pipelines that create, curate, and edit training and evaluation data for Meter’s AI products Conducting user interviews to understand and simulate user behavior, and to provide benchmarking data for Meter’s AI products Learning Meter’s dashboard and technical architecture Learn more about how we operate and some of our work What is Meter? Meter: the internet utility by Packy McCormick How we operate Vertical integration in practice Compensation We think about Meter's compensation package as a combination of salary, equity, benefits, and the experience of working with a talented team to make the biggest impact of your career.  The estimated pay range for this role is $145,000 - $185,000.  Additionally, this role is eligible to participate in Meter's equity plan. The salary range represents the low and high end of the salary range for this job in the Bay Area. The actual salary offer will carefully consider a wide range of factors such as your skills, qualifications and experience. Benefits Medical, dental & vision insurance coverage for you and your dependents Annual memberships to One Medical, Headspace and Rightway 401k (traditional and Roth options available) Flexible time off (FTO) Commuter reimbursement Parental Leave In-house chef and onsite meals (San Francisco Office)

Data Science and Data Visualization Subject Matter Expert (SME) Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Type of Travel: None * * * Job Description: We are seeking a skilled and motivated Data Scientist to join our dynamic Data & Analytics team. The ideal candidate will have a strong background in statistics, machine learning, and data mining, with the ability to visualize and communicate complex data in a clear and compelling manner. Responsibilities: • Work with cross-functional teams to identify, research, and solve complex analytical problems • Analyze large data sets to extract meaningful insights • Design, build, and maintain machine learning models and algorithms • Collaborate with data engineers to improve data collection and storage • Present findings and recommendations to stakeholders in a clear and actionable manner • Support the organization's broad-spectrum Data Management requirements including, but not limited to: Data Strategy/ Modeling/ Documentation; Data Feed Identification; Infrastructure Management; Data Ingestion/Data Feed Automation; Data Transformation; Data Catalog and Metadata Management; Data Quality Management; Data Governance. Required Qualifications: • Active TS/SCI Clearance with Polygraph • 5+ years experience as a Data Scientist, Data Analyst, or similar role • Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or a related field. (e.g., Statistics, Mathematics, Computer Science, etc.). • Proficiency in data visualization tools such as Tableau, PowerBI, etc., including, but not limited to: data connection, data manipulation, data visualization • Knowledge of statistical analysis methodologies and data visualization tools. • Excellent problem-solving skills and attention to detail. • Excellent communication and collaboration skills • Ability to work independently and manage multiple projects simultaneously • Strong problem-solving skills and attention to detail Desired Qualifications: • Tableau Certified Professional - Preferred • Current Security+ or DOD 8570 IAT Level II Certification • Experience with scripting in Tableau (e.g., automation; troubleshooting; integration, performance optimization) • Proficiency in Python, R, SQL, and other relevant programming languages. • Experience with machine learning, predictive modeling, and data mining This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI. ________________________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ________________________________________________________________________________________ Pay Range : There are a host of 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 employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here . Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $68,400-$143,700 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Site Name: USA - Massachusetts- Cambridge, GSK HQ, USA - Massachusetts- Waltham Posted Date: May 14 2025 Senior Director, Data Science Lead, Real-World Data, Measurement, and Analytics The Senior Director Data Science Innovation Lead will pioneer transformative solutions in real-world evidence generation in the Real-World Data, Measurement, and Analytics (RWDMA) organization, supporting the entire drug development life cycle from early development to late-phase clinical trials and post-approval market access and reimbursement. Leveraging the latest advancements in data sciences, such as multimodal AI, generative AI, knowledge graphs, causal AI and agentic AI, the Data Science Innovation Lead will develop and optimize statistical methodologies in comparative effectiveness analyses, precision medicine, predictive modelling, and evidence synthesis. In addition, the Innovation Lead will support AI-driven automation tools and deployment of intelligent systems for more efficient data processing and automate complex data analyses and QC processes, thereby accelerating development timelines while ensuring compliance with regulatory standards. Key Responsibilities Data Science Strategy & Leadership Align RWDMA Data Science initiatives with RWD organizational drug development goals, regulatory requirements (e.g., FDA, EMA), and payer expectations, ensuring strategic impact and compliance, particularly in RWD analytics. Lead RWDMA Data Science through a matrix organization, collaborating with biostatisticians, clinical and other subject matter experts, and regulatory specialists to lead innovative applications of Data Science in RWE generation and embed Data Science into RWD workflows to improve efficiency of data processing and analysis. Innovative Applications of Data Science in RWE Generation Design customized Data Science models tailored to specific RWD analytic applications, including: Comparative Effectiveness: Applying Data Science methodologies to evaluate treatment outcomes across diverse patient populations, supporting real world biostatistics and statistical programming efforts. Precision Medicine: Leveraging RWD to identify patient subgroups and biomarkers for tailored therapies. Predictive Modelling: Using advanced Data Science techniques (e.g., transformers, recurrent neural networks) to forecast disease progression, trial outcomes, and patient responses, and enhance insights from digital measurement and patient reported outcomes. Evidence Synthesis: Utilizing data science methodologies to integrate and synthesize findings from RWD and RCTs, including meta-analysis, indirect treatment comparisons, and network meta-analysis, to support comprehensive evaluations of treatment efficacy and safety. Automation & Process Optimization Automate coding, including clinical coding and patient identification, and quality control (QC) processes using AI-driven anomaly detection and pattern recognition to ensure the validity of statistical programs, as well as data integrity across large-scale RWD datasets. Develop Natural Language Processing (NLP) tools to automate the creation, review, and validation of analytic plans and protocols, ensuring compliance with regulatory and payer standards, benefiting data strategy and operational efficiency. Build AI systems to streamline administrative tasks, such as assessing analytic consistency with market access requirements, enhancing operational efficiency across drug development phases. Data strategy In alignment with DDF and D3 initiatives and the RWDSP team, assess the gaps in data needs in RWD and use potential Data Science applications to inform data strategy. Collaborate with the RWDSP, DDF, and data tech teams to optimize RWD storage, management, and access control to optimise RWD analytical workflows. Provide technical expertise and leadership on the usage of synthetic data in RWD and drug development. Collaboration & Thought Leadership Mentor team members in advanced Data Science methodologies, fostering a culture of innovation and technical excellence across real world biostatistics, digital measurement, and other focus areas. Spearhead methodological innovation and development in RWD Data Science, providing opportunities for mentoring and professional growth of junior RWDMA staff. Develop and manage an external engagement strategy with academic partners and key opinion leaders (KOLs) to foster collaborative research and development in RWD Data Science data science. Present Data Science analyses and insights clearly and effectively at conferences, in publications, and during key stakeholder meetings, reinforcing the value of RWD Data Science contributions. Qualifications Education and experience: PhD in Data Science, Biostatistics, Computer Science, or a related field. 15+ years in healthcare and life sciences, with significant exposure to pharmaceutical and/or medical device industries. 10+ years in clinical development or RWE generation within regulated environments, including hands-on leadership of Data Science projects. Demonstrated success in deploying DataOps, ModelOps, or MLOps pipelines in cloud platforms (e.g., Azure, AWS). Technical Skills: Expertise in statistical modelling, AI and machine learning techniques (e.g., Convolutional Neural Networks [CNNs], Recurrent Neural Networks [RNNs], Transformers). Proficiency in generative AI (e.g., LLMs, RAG, GANs, VAEs, and diffusion models) and the technical stack and tools (e.g., LangChain, LlamaIndex, CrewAI). Strong programming skills in Python, R, TensorFlow, PyTorch, and experience with cloud tools (e.g., Azure ML, AWS SageMaker), containerization (Docker), and version control (GitHub). Familiarity with multi-domain real-world data (e.g., clinical records, imaging, genomics, wearables, unstructured text). Achievements: Proven track record of innovation in Data Science applications for healthcare, evidenced by publications, patents, or industry recognition. Experience navigating ethical, privacy, and regulatory challenges in AI-driven healthcare solutions. #LI-GSK* Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US). GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

Supporting X323 Tradecraft innovation team - Experience creating analytics leveraging Access Discovery and CNE experience is required. Will need to have familiarity with AMOD query tools.

Here at Scotts Miracle-Gro there is no such thing as a typical day. Our culture is constantly energized by new and exciting growth opportunities and at a rapid pace. Below are details on an open job. If the role interests you and you would like to be considered we encourage you to apply! Summary: The Data Scientist will support our research, product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Key Responsibilities: Select and employ advanced statistical learning models to obtain actionable insights. Cross-validate models to ensure their generalizability. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Suggest ways in which insights obtained might be used to inform business strategies. Actively engage with key internal and external technology partners Collate, clean, and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Visualize data and create reports. Align data projects with organizational goals. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Collaborate with data engineers to put machine learning models in production following best practices in machine learning operations (MLOps) Coordinate with different functional teams to implement models and monitor outcomes Technical Knowledge Requirements: 5+ years of experience manipulating data sets and building and operationalizing functional statistical models Proficiency in Python or R, where the former is preferred. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. In-depth knowledge of SQL. Experience using Apache Spark to process large data sets. Experience querying databases and using various languages: R, Python, SQL. Experience using Amazon Web Services: Athena, Glue, EMR, RDS, S3, SageMaker, etc. Experience creating and operationalizing advanced machine learning algorithms: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience visualizing/presenting data for stakeholders using: Tableau, D3, ggplot, etc. Non-Technical Skills: Complex problem solving & analysis Excellent communication skills A business mindset Strong organization and leadership skills Ability to relay insights in layman’s terms, such that these can be used to inform business decisions. Ability to formulate an in depth technical strategy meeting the needs of supported business functions Ability to meet with the business and technical teams to provide understandable technical direction that demonstrates understanding of and alignment with business objectives. Relationship building with technical and non-technical personnel Research new tools on the market and evaluate their value within the company. Ability to develop strategic roadmap and serve as SME in related area Education/Training: MS degree in Statistics, Mathematics, Computer Science or another quantitative field 5+ years of data modeling experience 5+ years of Python, Java, R, SQL 4+ years of experience with algorithm development, tuning, and operalization 2+ years of experience with AWS cloud services: EMR, RDS, Glue, Athena, S3, SageMaker Experience with Neo4j Graph Database, Mulesoft, and Graphql a plus. The starting budgeted pay range for this role will generally fall between $111,500.00 - $131,200.00 per year. Scotts will consider various factors in determining the actual pay including your skills, qualifications, experience, and geographical location.In addition to the determined base salary, this role is also incentive eligible under our corporate bonus programs.For remote roles where the final candidate resides in Alaska, California, Colorado, Illinois, New York, Oregon or Washington, state required pay thresholds will be factored into base salary. Here at ScottsMiracle-Gro, we believe providing an enriching and engaging employee experience is what sets us apart from other organizations. We recognize our employees are so much more than just their job title so we offer programs and benefits that support them in all aspects of their lives. Wondering how we do it? Below is a glimpse of our highlight reel… Our Live Total Health program provides you with options to align to your personal needs . Selections range from medical, dental and vision coverage for you, your spouse/domestic partner and dependents to an outstanding wellness reimbursement program to an unbelievable 401K match (up to 7.5%) as well as a 15% discount on company stock and much more We know our talent is our most precious asset and your unique development contributes to our organization’s success now and in the future. Career growth at our company is not always a ladder. It’s much more like a rock climbing adventure. Grow through exploration and experiences rather than a predictable linear path. We value the importance of family . We provide access to Maven Family Planning and up to $30,000 to accommodate for adoption, fertility and surrogacy . Be part of something bigger by joining one of our Employee Resource Groups focusing on diversity and inclusion, family, education and sustainability : Scotts Women’s Network, Scotts Black Employees’ Network, Scotts Veterans Network, Scotts Young Professionals, Scotts Pride Network (GroPride), Scotts Associates for a Greener Earth (SAGE), Scotts Family TREE and our Associate Boards. Join a company with a strong belief in giving bac k to the communities where we live and work. We have a shared passion for service and volunteerism and believe participating in community service benefits our communities and strengthens our team. Not interested in this role? Stay up to date on future opportunities by joining our ScottsMiracle-Gro and Hawthorne Gardening talent communities. Scotts is an EEO Employer, dedicated to a culturally diverse, drug free workplace. EEO/AA Employer/Minority/Female/Disability/Veteran/Sexual Orientation/Gender Identity Notification to Agencies : Please note that the Scotts Miracle-Gro company does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Master Service Agreement, and specific approval to submit resumes to an approved requisition, the Scotts Miracle-Gro company will not consider or approve payment regarding recruiter fees or referral compensations.

Career Category Sales & Marketing Operations Job Description HOW MIGHT YOU DEFY IMAGINATION? You’ve worked hard to become the professional you are today and are now ready to take the next step in your career. How will you put your skills, experience and passion to work toward your goals? At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Come do your best work alongside other innovative, driven professionals in this meaningful role. CD&A - Data Science Manager Live What you will do Let’s do this. Let’s change the world. As part of the Customer Data Science team, you will collaborate with business partners, service owners and IS peers to develop predictive models and insights across the US Commercial Organization. This position will innovate and build significant business impact through the use of sophisticated analytics techniques to help Amgen with its mission to serve patients by helping them get the therapies they need. Flexible Commuter role to Thousand Oaks, CA or Deerfield, IL office. You will work on-site 2-3 days a week. This position will be primarily responsible for: Working collaboratively with cross-functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen and our patients Identifying business needs and proposing potential analytics approaches for solutions Crafting and deploying a framework to supervise the performance of various campaigns, and tactics at a granular level Leading measurement and tracking of various omnichannel CX enablement initiatives Supporting the development of data science, machine learning prototypes, proof of concepts and models for testing various omnichannel strategies Communicating analysis ideas, progress and results to leadership and business partners What we expect of you We are all different, yet we all use our unique contributions to serve patients. The data science professional we seek is analytical with these qualifications. Basic Qualifications: Doctorate degree OR Master’s degree and 2 years of data science and/or analytics experience OR Bachelor’s degree and 4 years of data science and/or analytics experience OR Associate’s degree and 8 years of data science and/or analytics experience OR High school diploma / GED and 10 years of data science and/or analytics experience Preferred Qualifications: Relevant work experience in campaign measurement, marketing analytics and resource optimization in the pharma domain Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, or TensorFlow Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.) is a plus Ability to communicate analysis in a clear, detailed, and practical manner Passion for learning and staying on top of current developments in sophisticated analytics Biotech / Pharma experience Thrive What you can expect of us As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. Amgen offers a Total Rewards Plan comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including: Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans and bi-annual company-wide shutdowns Flexible work models, including remote work arrangements, where possible Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. #CDnA . Salary Range 137,855.00 USD - 168,574.00 USD

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Job Profile Name: Res. Assistant Professor Job Code: JP3_24102 Job Family Group: Research FLSA Status: Exempt Job Family: Researchers Career Level: P4 Created/Revision Date: 8/1/2017, 1/1/2024 Grade: CORE JOB SUMMARY The Research Assistant Professor, SOM (A) carries out a particular research agenda in support of the University’s research goals and objectives. Moreover, the Research Assistant professor, SOM (A) contributes to the scientific community by publishing research findings and promotes the University’s reputation as a leader in the field. CORE JOB FUNCTIONS Contributes to basic and applied research activities and authors scientific publications, technical and agency reports, and patent preparations. Collaborates with senior staff to publish findings in refereed journals. Creates and conducts experiments and analyzes results. Works with other researchers to use and develop end products. Writes extramural proposals with approval from appropriate senior staff. Provides ready access to all experimental data for managing staff. Requests or acquires equipment and supplies for assigned project(s). Uses the internet, surveys, legal documents, and other available sources to collect information. Applies for grants to continue research and prepares materials for submission to granting agencies and foundations. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Ph.D., M.D. or other doctoral level degree relevant field Certification and Licensing: Not Applicable Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise sound judgment in making critical decisions. DEPARTMENT ADDENDUM Department Specific Functions The Department of Informatics and Health Data Science (DIHDS) , Media Innovation Lab (MIL) at the University of Miami is ushering in a new age of healthcare investigation, innovation, and improvement by breaking down the artificial barriers that separate discovery, development, and deployment of new solutions. Investigators at The MIL are reimagining and harnessing technologies available today, while inventing the solutions of tomorrow and are aspiring to create a legacy of insight and impact and to be a trusted voice in digital health, technology and transformation. The Research Assistant Professor will serve as the MIL site expert in bioinformatics setting the strategic vision for the group, leading the development of data analysis approaches, and implementing bioinformatics methodologies to support the needs of the DIHDS/MIL research team. Faculty members in the Department of Informatics and Health Data Science and The Media and Innovation Lab are required to actively support the department chair and lead research, educational/mentorship, and service outreach, policy and ethical initiatives related to informatics, digital technology, and health data science. Candidate must possess a strong computational and quantitative biology background that includes a broad understanding of key biological concepts and have significant experience in software and database engineering enabling an integrated understanding of biological data analysis as it relates to underlying biological processes. An extensive experience with the analysis of large data sets generated by next generation sequencing is encouraged. We prefer candidates with a strong record of accomplishments in bioinformatics, including but not limited to a proven track record of developing innovative tools and applications for computational biology, providing bioinformatics support for complex research projects involving multidisciplinary scientific teams, and a strong publication record in bioinformatics and computational biology. Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through SQL. This role collaborates with researchers to develop high throughput data processing and analysis capability. Directs and guides database searches and the computational analysis of resulting data. May assist in grant and other funding applications, as necessary and appropriate. Demonstrated ability to function as part of a team. Performs other responsibilities as required. This distribution of effort may change in future years based on your interests, department needs, and your success in obtaining extramural grant funding. Department Specific Qualifications Education: PhD in a mechanical engineering, quantitative/computational field including computer science, software engineering, bioinformatics, mathematics, human/statistical genetics, neuroimaging, or a related field (with an emphasis on data science or statistical analyses of human subjects’ datasets). Certification and Licensing: Type Here Experience: Type Here Knowledge, Skills and Attitudes: Type Here PHYSICAL REQUIREMENTS/ WORKING ENVIRONMENT The following sections capture the physical demands and working environment that are required for this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Working Conditions Environmental Dimension Never Occasionally Frequently Constantly Conditions of extreme heat or extreme cold x Wet/Humid conditions x Fumes/Dust/Dirt/Smoke x Confined areas x High places x Equipment in motion x High noise levels x Environmental hazards x Exposure to TB x Exposure to Blood-borne Pathogens x Exposure to Radiant Energy x Outdoor/Exposed areas x Equipment Used Equipment Used Never Occasionally Frequently Constantly Vehicle Type Operate vehicles (Select Vehicle) x Use hand tools x Use power tools x Physical Requirements Physical Dimension Never Occasionally Frequently Constantly Weight Sitting x Standing x Walking x Stooping/Climbing x Carrying x Kneeling x Crouching x Bending x Crawling x Reaching x Handling x Sensory Requirements Sensory Dimension Never Occasionally Frequently Constantly Vision Type Vision x Depth Perception x Color Vision x Peripheral x Concentration x Use of keyboard or touchscreen x Talking x Feeling x Smelling x The above statements are intended to describe the general nature and primary responsibilities of this job classification. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job. This is a job profile description and not all duties may be assigned to a specific position in each individual department. End of Job Description Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Job Status: Full time Employee Type: Faculty

Job Description: This job description provides a general outline of duties and qualifications of the position. Other duties may be assigned and the description may be changed at any time. It is not intended to limit normal change and growth nor prevent employees from working to ensure the success of our endeavors. This is an uncompensated, remote adjunct faculty position. Reporting to the Director of Research, this role will support research projects and scholarly activities through data management and analysis expertise. SPECIFIC RESPONSIBILITIES: Serves as an investigator on research projects and scholarly activities Provides expertise in data management and analysis as a data scientist Advises faculty and students on research design, data collection methods, and statistical analysis Assists in developing research protocols and methodologies Contributes to the preparation of grant applications and manuscripts for publication Collaborates with faculty to advance the institution's research agenda Performs other related duties, as assigned Provides occasional instruction in areas of expertise, particularly related to research methods and data analysis Delivers guest lectures or workshops on specialized topics Mentors students involved in research projects Participates in curriculum development related to research and data science education SUPERVISORY RESPONSIBILITIES: N/A QUALIFICATION(S): Advanced degree in a relevant field (e.g., MD, DO, PhD, or equivalent) Demonstrated expertise in data management and statistical analysis Experience with research design and implementation Proficiency with data analysis software and statistical methods Excellent analytical and problem-solving skills Strong verbal and written communication skills Ability to work collaboratively with interdisciplinary teams KEY COMPETENCIES: Expert knowledge of research methodologies and data science techniques Strong analytical and critical thinking skills Ability to translate complex statistical information into actionable insights Effective communication of technical concepts to non-technical audiences Collaborative approach to research and problem-solving Commitment to academic integrity and research ethics The essential physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the job's essential functions. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. It is the policy of Kansas Health Science University (KHSU)-Kansas College of Osteopathic Medicine (KansasCOM) not to discriminate on the basis of race, ethnicity, color, sex, sexual orientation, gender, gender identity, religion, religious creed, national origin, ancestry, age, genetic information, marital status, military or veteran status, physical or mental disability, medical condition, pregnancy, childbirth and any medical condition related to pregnancy or childbirth or any other basis protected by federal, state or local law, ordinance or regulation. KHSU-KansasCOM is committed to complying with all applicable laws regarding equal employment opportunities. KHSU-KansasCOM strives to create and maintain a work environment in which people are treated with dignity, decency, and respect. All qualified candidates are encouraged to apply. Kansas Health Science University offers a generous compensation and benefits package, as well as the opportunity to work for a leader in the field of education. Some of our key benefits include: generous paid time-off, medical and dental coverage, company-paid life and disability insurance, retirement plan with employer contribution, multiple flexible spending accounts (FSA), tuition reimbursement, professional development, and regular employee appreciation events. Kansas Health Science University is an Equal Opportunity Employer.

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. At our core, we are dedicated to enriching lives by bridging the gap between individuals and premium wireless experiences that not only meet but exceed expectations in value and quality. We believe that everyone deserves access to seamless, reliable, and affordable wireless solutions that enhance their day-to-day lives, connecting them to what matters most. By joining our team, you'll play a pivotal role in this mission, working towards delivering innovative, customer-focused solutions that open up a world of possibilities. We're not just in the business of technology; we're in the business of connecting people, empowering them to explore, share, and engage with the world around them in ways they never thought possible. Building on our commitment to connect people with quality experiences that offer the best value in wireless, let's delve deeper into how we strategically position our diverse portfolio to cater to a broad spectrum of needs and preferences. Our portfolio, comprising 11 distinct brands, is meticulously organized into five families, each designed to address specific market segments and distribution channels to maximize reach and impact. Total by Verizon & Verizon Prepaid : At the forefront, we have Total by Verizon and Verizon Prepaid, our flagship brands available at Verizon exclusive and/or national/retail stores. Verizon Prepaid continues to maintain a robust and loyal consumer base, while Total by Verizon is on a rapid ascent, capturing the hearts of more customers with its compelling offerings. Straight Talk, TracFone, and Walmart Family Mobile : Straight Talk, Tracfone, and Walmart Family Mobile stand as giants in our brand portfolio, boasting significant presence in Walmart. Their extensive reach and solidified position in the market underscore our commitment to accessible, high-quality wireless solutions across diverse retail environments. Visible : Visible, as a standalone brand family, caters to the digitally-savvy, single-line customers who prefer streamlined, online-first interactions. This brand is a testament to our adaptability, embracing the digital evolution of customer engagement. Simple Mobile : Carving out a niche of its own, Simple Mobile shines as the premier choice among authorized resellers. Its consistent recognition as the most carried brand in Wave7 Research’s prepaid dealer survey for 36 consecutive quarters speaks volumes about its popularity and reliability. SafeLink : SafeLink remains dedicated to serving customers through government subsidies. With a strategic pivot towards Lifeline in the absence of ACP, SafeLink continues to fulfill its mission of providing essential communication services to those in need. Join the team that connects people with quality experiences that give them the best value in wireless. What You’ll Be Doing: We are seeking an Associate Director of Data Science to lead data-driven decision-making across our base management team. You will work at the intersection of performance marketing, customer insights, and advanced analytics, delivering strategic recommendations that fuel growth, optimize campaigns, and enhance customer engagement. Insight generation & optimization Develop and oversee end-to-end marketing analytics strategy, ensuring data-driven decision-making across all channels & campaigns Work cross-functionally with our marketers, product teams, finance, and technology teams to translate data into strategic recommendations Strong storytelling to drive recommendations based on the data analysis and articulate trade offs and communication plan to senior executives Measure and report on marketing ROI, Uplift, LTV, churn, and other conversion metrics to assess marketing campaign performance with precision and uncover high-impact opportunities to enhance campaign effectiveness, reach, and engagement Deliver actionable insights that refine targeting strategies, enhance messaging, and optimize channel execution, ensuring every campaign delivers maximum impact Own the analytics-to-execution pipeline—turning complex models into clear, strategic business recommendations Present insights and recommendations to senior executives, influencing major business decisions Build financial models and develop business cases to enable effective decisions across all base-management initiatives and campaigns Lead the development of dashboards and real-time reporting tools for executive and marketing teams Partner with our Data Science team to design, deploy, and scale personalization strategies using first-party data, predictive analytics, and model-based targeting Leadership: Be the go-to thought leader on data-driven marketing strategy, driving executive discussions and shaping how analytics fuel business outcomes Develop strong relationships with business partners across the Value organization to drive transformational change Supercharge collaboration with other analytics and off-shore teams to modernize reporting, enhance presentations, and scale automation—ensuring every insight drives immediate, tangible business value Partner with functional groups (Finance, Marketing, Operations, GTS, AI&D and others) to drive effective business decisions. Mentor and elevate analytics professionals, building a team that combines technical expertise with business acumen to drive sustained competitive advantage In this role, you'll have a defined work location that includes work from home and assigned office days (in-office days are Tuesday, Wednesday, and Thursday). What we're looking for… You’ll Need to Have: Bachelor's degree or four or more years of work experience. Eight or more years of relevant work experience required, demonstrated through one or a combination of work and/or military experience, or specialized training. Experience leading a team. High proficiency with Microsoft Excel and PowerPoint. Strong financial modelling experience. Proficiency in SQL and data visualization tools (Tableau, ThoughtSpot, Qlik or Looker). Advanced proficiency in SQL, Python (/R) and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly/Streamlit etc). Even Better If You Have One or More of the Following: Ability to translate complex ideas and express them in concise, simple to understand way to a variety of stakeholders at various levels. Strong Predictive / Prescriptive modeling experience. Experience managing large complex projects involving multiple work streams and stakeholders 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. 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 benefits, short term incentives, 401(k) Savings Plan, stock incentive programs, paid time off, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. If you are hired into a California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Minnesota, Nevada, New York, Rhode Island, Washington or Washington, D.C. work location, the compensation range for this position is between $138,500.00 and $242,000.00 annually based on a full-time schedule. 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.

RaceTrac Company Overview Job Description: The Data Science Architect is a senior technical leader within the Enterprise Strategic Analytics + Data Science team (ESADS), focused on the design, delivery, and deployment of advanced analytics and data science solutions. This role emphasizes technical depth and expertise to drive the execution of high-value data science initiatives while ensuring scalability, reliability, and alignment with organizational goals. The Data Science Architect collaborates with cross-functional teams to deliver solutions that solve complex business challenges and guide the data science team in developing robust methodologies and approaches. Responsibilities: Scope of Role: Design and oversee the implementation of data science solutions that address critical business needs and drive measurable outcomes. Act as the technical lead for data science projects, ensuring high-quality delivery of predictive, prescriptive, and optimization models. Develop frameworks and best practices for scalable and repeatable data science methodologies. Collaborate with Strategic Analytics Partners to align technical solutions with business priorities. Provide technical mentorship to the data science team, fostering the development of advanced analytical skills and innovative thinking. Day-to-Day Activities: Lead the design and coding of machine learning models, optimization algorithms, and advanced statistical analyses. Work closely with data engineers and solution architects to ensure seamless integration of models into production systems. Conduct thorough code and model reviews to ensure technical quality and alignment with business objectives. Stay up-to-date on emerging technologies, tools, and methodologies to maintain the team’s cutting-edge capabilities. Partner with cross-functional teams to ensure the successful implementation and operationalization of data science solutions. Expected Outcomes: Deliver high-quality, scalable, and robust data science solutions that directly contribute to business growth and operational efficiency. Establish a technical foundation for advanced analytics that supports ESADS in achieving its strategic goals. Enhance the team’s technical capabilities through mentoring, training, and the implementation of best practices. Complexities: Solve highly complex and ambiguous technical challenges that require innovative and scalable approaches. Balance multiple projects with competing priorities while maintaining focus on technical excellence and timely delivery. Navigate and integrate cutting-edge technologies to advance the organization’s analytics capabilities. Qualifications: Required Experience: Master’s or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or a related field. 8+ years of hands-on experience in data science, with a focus on building and deploying machine learning and optimization models. Extensive experience with programming languages such as Python, R, and SQL, as well as tools like Databricks, TensorFlow, PyTorch, and cloud-based analytics platforms (AWS, Azure, GCP). Proven track record of delivering production-ready models that drive measurable business impact. Experience collaborating with cross-functional teams to operationalize data science solutions. Demonstrable experience with one or many of the following: Demand Forecasting, Flexible Segmentation (Customer, Performance, Weather, etc.), Network Optimization, Predictive Maintenance/Service, Predictive Customer Churn, Price Optimization, Risk Modeling, Marketing Mix Modeling, Customer Journey Analytics, Predictive Staffing Optimization, Staff Attrition/Retention Risk, Next Best Product/Offer, Customer Elasticity (Market Response Modeling), Assortment Optimization, Customer Loyalty Effectiveness/Optimization Beneficial Experience: Familiarity with advanced optimization techniques and their application to business problems. Consulting experience in analytics-driven industries, such as retail, logistics, or financial services. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud, Palantir) and MLOps best practices. All qualified applicants will receive consideration for employment with RaceTrac without regard to their race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

DS position in X32 as a support for a Natural Language Processing (NLP) project to accurately and automatically tokenize language data with spoken or written origins. This position involves developing automated solutions for the annotation of language data. This includes parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text. The requirement involves NLP, machine learning (ML), data modeling, and programmatic optimizations where needed all while interacting with a premier agency system.

Hourly Pay Range: $58.50 - $90.68 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors. Position Highlights: Position: Manager, Data Science and AI Engineering Location: 4901 Searle Parkway, Skokie IL Full Time Hours: Monday-Friday, 8am - 4:30pm Hybrid Role Some local travel to other corporate sites (Arlington Heights - Warrenville) will be expected. Job Summary: As the Manager of Data Science at Endeavor Health you will be responsible for leading our data science and machine learning (ML) domains. This position will oversee end-to-end machine learning and data science projects, coordinate cross-functional teams, and ensure the alignment with business goals. The ideal candidate will be both a strategic thinker and hands-on leader, capable of fostering innovation and enhancing the company's data science capabilities. The scope of this role spans the oversight of traditional predictive modeling efforts inclusive of both internal development as well as oversight, intake, and monitoring of vendor-provided predictive modeling solutions. This will involve the oversight of Epic's Nebula Cognitive Computing environment where predictive modes are deployed and managed into clinical and operational workflows. In addition, will oversee the implementation and management of advanced AI solutions inclusive of natural language processing (NLP), computer vision, and Generative AI. This will include vendor platform decisions and the engineering of AI environments in the cloud. To be successful in this role, you will be expected to remain updated on the latest solutions and technologies and advocate for the adoption of industry best practices. What you will do: Lead and coordinate the gathering and analyzing of various types of data that provide risk adjustment, predictive algorithms, and other mathematical and non-mathematical models. Lead the full cycle of iterative data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation/visualization, and action planning as well as monitoring of these systems for accuracy and bias. Lead the technical development of novel tools that incorporate models that recommend action and guide decision-making. Oversees the Epic predictive modeling and AI tools and partners closely with clinical informatics, Epic analysts, and digital teams to deploy AI solutions in to clinical and operational workflows (e.g. Nebula, Cognitive Computing, etc). Liaise with customers at all levels of the organization and serves as a subject matter expert in advanced analytics, Data Science, and predictive modeling. Collaborate with cross-functional data science, EDW, and Epic teams to curate pipelines and solutions that align with MLOps processes. Must understand how the application of analytical techniques correlates to business value and will necessitate being able to select the appropriate analytical techniques for the problem at hand. Establishes relationships with domain leaders to understand strategic business needs and user needs; identifies business requirements to guide specifications for ease of business operations. Lead or participate in governance and prioritization committees to collaborate with key stakeholders about priority and workload. Develop and promote a research agenda that includes posters, presentations and papers on Trusted AI development and deployment. What you will need: Education: Master's degree in information systems, computer science, mathematics, statistics or related field. Experience: Four (4) years of experience managing processes, applications, or systems in a healthcare setting or relevant related industries. Two (2) years of leadership experience as defined as essential to the role. Unique or Preferred Skills: Strong verbal, written and presentation communication skills essential. Solid understanding of information processing fundamentals and best practices. Ability to manage multiple complex projects with efficiency. Strong domain knowledge and interpersonal skills. Ability to plan, lead and implement initiatives. Personal and ethical accountability. Demonstrated analytical and critical thinking for problem solving / issue resolution. A lean towards curiosity, out of the box thinking and innovative. Focus on people and active engagement in recruitment and retention. Expert knowledge with business intelligence tools, data warehousing applications, or statistical packages (i.e. Cognos, Business Objects, Informatica, SSIS, SAS, Python, SPSS, R) and the ability to program and manipulate complex datasets in relational databases is required. Demonstrated proficiency programming PL/SQL, SAS, R, or other related languages is required. Benefits (For full time or part time positions): Premium pay for eligible employees Career Pathways to Promote Professional Growth and Development Various Medical, Dental, Pet and Vision options Tuition Reimbursement Free Parking Wellness Program Savings Plan Health Savings Account Options Retirement Options with Company Match Paid Time Off and Holiday Pay Community Involvement Opportunities Endeavor Health is a fully integrated healthcare delivery system committed to providing access to quality, vibrant, community-connected care, serving an area of more than 4.2 million residents across six northeast Illinois counties. Our more than 25,000 team members and more than 6,000 physicians aim to deliver transformative patient experiences and expert care close to home across more than 300 ambulatory locations and eight acute care hospitals – Edward (Naperville), Elmhurst, Evanston, Glenbrook (Glenview), Highland Park, Northwest Community (Arlington Heights) Skokie and Swedish (Chicago) – all recognized as Magnet hospitals for nursing excellence. For more information, visit www.endeavorhealth.org . When you work for Endeavor Health, you will be part of an organization that encourages its employees to achieve career goals and maximize their professional potential. Please explore our website ( www.endeavorhealth.org ) to better understand how Endeavor Health delivers on its mission to “help everyone in our communities be their best”. Endeavor Health is committed to working with and providing reasonable accommodation to individuals with disabilities. Please refer to the main career page for more information. Diversity, equity and inclusion is at the core of who we are; being there for our patients and each other with compassion, respect and empathy. We believe that our strength resides in our differences and in connecting our best to provide community-connected healthcare for all. EOE: Race/Color/Sex/Sexual Orientation/ Gender Identity/Religion/National Origin/Disability/Vets, VEVRRA Federal Contractor.

Senior Manager Data Science and Engineering - Philadelphia Do you consider yourself an inspirational leader of Technologists? Are you looking for a leadership role whereby you can drive AI innovation with our Health Markets vertical About the role, This Senior Manager position will work with their team to define and execute projects to develop and execute on best practices. You should be a methodological expert to enhance products and services developed and supported by the team. Your team of Data Scientists should function as change agents to insert best practices into workflows. We are not looking for an individual contributor in this role. About the team, this team of Data Scientists is entrusted with driving innovation within our Health Markets business vertical. Through the utilization of LLM and AI, this team is further positioning Elsevier as a leader as we continue to deliver cutting edge products to market. Responsibilities Working collaboratively with Health Markets technology groups (engineering, TIO & architecture) to guide and support HM product development. Managing and growing a team of Data Scientists, AI engineers, and ML engineers in HM Technology, including hiring and managing contractors as needed Working closely with stakeholders to understand the user problem and closely with architecture and the technical team to design the solution. Working collaboratively with other Data Science leaders to prioritize and resource projects in HM and contribute to cross-Elsevier best practices. Collaborating with Architecture and Data Engineering on the design of AI systems with an emphasis on reusability Implementing and support DS best practices including data science governance, Responsible AI policies, and anti-bias initiatives Maintaining a current roadmap of current HM projects and lead governance & prioritization meetings with the HM businesses in collaboration with other HM data science orgs Owning and driving the implementation of Automated Assessment of GenAI systems (LLM-as-a-judge, goldset comparison, etc) Defining and implement data asset strategy (metadata standards, data set registry, etc) to enable monetization of analytics in partnership with the business Leading a cross-functional group including product, commercial, sales, strategy to establish and refine a pipeline of innovation bets Qualifications Current leadership of Data Scientists and ideally cross functional technologists. Proven track record of driving innovation and delivering products. Current and extensive experience in applied data science or AI/ML in a tech company, preferably in healthcare tech Through understanding of the utilization of AI/GenAI and its impact in Health Markets Expertise in a relevant field such as natural language processing, information retrieval, or generative AI and serve as a technical SME for their team. Expertise with advanced analytics methodologies, AI/ML and predictive modeling, MLOps, generative AI, and RAG systems Proven track record of being able to work independently and proactively engage with business stakeholders in collaborative, cross-functional initiatives Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. In addition to publishing, Elsevier offers a suite of digital solutions and services to support researchers, scientists, and professionals in their work. They provide online platforms like ScienceDirect, Scopus, and Mendeley, which offer access to a vast repository of scholarly articles, research papers, and other scientific content. These platforms often serve as essential resources for software developers seeking to stay updated with the latest scientific advancements ----------------------------------------------------------------------- Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120. Please read our Candidate Privacy Policy .

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Manufacturing U.S.A., Inc. for the following job opportunity: JOB LOCATION: Cambridge, MA POSITION : Data Science Engineer POSITION DESCRIPTION : Takeda Manufacturing U.S.A., Inc. is seeking a Data Science Engineer with the following duties: Develop tools to optimize analysis such as (SWOT) of publicly available business intelligence (10-Ks, and journals) to identify business trends and opportunities in commercial manufacturing; Communicate results in a routine basis; Collaborate with other GMS functions such as Strategy and Business Excellence on developing software tools to optimize and automate LCM activities; Expand current knowledge management capabilities; Analyze unstructured problems, identify root causes and align team objectives to drive divisional goals; Use agile principles to reduce process complexity and increase organizational capacity; Develop and apply custom strategies for processing and visualizing multidimensional data; Capture and translate business requirements into technical solutions. Up to 60% remote work allowed. REQUIREMENTS: Master degree in Data Science, Information Systems, or related field plus 2 years of related experience. Prior experience must include: Extract data automatically using Python / R to support data analysis and reporting; Work with ERP systems like SAP for data management and analysis; Develop data visualizations with Power BI to enable business intelligence and decision-making; Write and execute Python / R scripts for automating data processing tasks; Implement data processing workflows in Databricks to manage and scale data projects. Full time. $108,500 - $186,000 per year. Competitive compensation and benefits. Qualified applicants can apply at https://jobs.takeda.com . Please reference job R0147477. EOE Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210. Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time