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Job Description We are seeking a highly skilled and experienced System and Network Administrator to join our team at the School of Computing and Data Science here at Wentworth Institute of Technology. The ideal candidate will be responsible for maintaining, upgrading, and securing our organization's systems and network infrastructure. This role requires a deep understanding of both hardware and software systems, as well as excellent troubleshooting skills. The System and Network Administrator for the School of Computing and Data Science will play a critical role in ensuring the reliability, performance, and security of our IT environment. Responsibilities: Install, configure, and maintain servers, network devices, and other IT infrastructure components. Monitor system and network performance, identifying and resolving issues proactively. Implement security measures to protect the organization's data and network from cyber threats. Perform regular backups and disaster recovery procedures to ensure data integrity and availability. Manage user accounts, permissions, and access control for various systems and applications. Collaborate with other IT staff and departments to implement new technologies and solutions. Document system configurations, procedures, and troubleshooting steps for future reference. Stay up to date with industry trends and best practices in system administration and networking. Requirements: Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent work experience). Proven experience as a System Administrator, Network Administrator, or similar role. Strong knowledge of Windows and Linux operating systems. Proficiency in networking concepts and protocols (TCP/IP, DNS, DHCP, VPN, etc.). Experience with virtualization technologies (VMware, Hyper-V, etc.). Familiarity with cloud computing platforms (AWS, Azure, Google Cloud, etc.). Familiarity with firewall technologies. Excellent problem-solving and troubleshooting skills. Ability to work independently and collaboratively in a fast-paced environment. Strong communication and interpersonal skills. Relevant certifications (e.g., MCSE, CCNA, CompTIA Network+) are a plus. Position Details: This is a full-time, benefits-eligible, exempt position (37.5 hours/week). Inclusive Excellence at Wentworth Inclusive Excellence is one of the four pillars of the Strategic Plan . Actively and intentionally cultivating a diverse and culturally competent institution where each member has the opportunity and support to reach their full potential and make contributions to our campus community and beyond is Inclusive Excellence at Wentworth. To find out more about the Wentworth’s commitment to Inclusive Excellence, please visit the website https://wit.edu/about/inclusive-excellence . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu . E-Verify for Employment Eligibility Verification ( Form I-9) Wentworth participates in E-Verify. E-Verify is an internet-based system that compares information from your Form I-9 to records available to the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA) to confirm that you are authorized to work in the United States.

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.

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 450 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products to support the PrizePicks business across all departments - at the core of these operations is data. As Data Science Engineering Manager , you will lead a team to develop, test, maintain, and evolve initiatives in streaming data, productionized algorithms, and MLOps infrastructure to mature PrizePicks’ digital offering. What you’ll do: Lead a team to create and maintain sport and user data stream architecture, ensuring data reliability, low latency, and high throughput for both raw and transformed data pipelines. Collaborate with our Data Science team to determine the best paths for operationalizing DS/ML assets, ensuring model output quality, stability, and scalability. Steer the design, implementation, and deployment of the data, MLOps, and API stack required for real-time pricing models, personalization/recommendations, risk management tooling, and other critical functions by contributing to architecture evaluations and decisions for the evolving data product roadmap. Partner cross-functionally with Engineering, QA, and Product teams to enable the creation and distribution of highly-visible and real-time data products to the PrizePicks platform. Empower teams to build and own rigorous monitoring and alerting services and work with Engineering and DevOps teams to ensure stability and complete uptime of our production services. Solidify and disseminate information and ideas through rigorous documentation, roadmaps, and knowledge transfer processes within and across teams. Act as a thought leader in the broader PrizePicks technology org, staying abreast of and implementing novel technologies and stewarding best practices both upward and downward within your direct team and to other people leaders/collaborators alike. What you have: Track Record 3+ years in a people leadership role, managing and growing a team of Associate through Staff level Data Science Engineers/Machine Learning Engineers/ML-focused Software Engineers. Extensive experience working cross-functionally with data engineering, data science, product, and engineering teams, as well as external data providers and 3rd party services. Proven experience (both personally and in leading a team) in Backend Engineering/Machine Learning Engineering shipping and maintaining production-grade systems for internal tools and product users. Role Specific Experience with simulation frameworks, personalization, and/or near real-time consumer-facing machine learning implementations. Strong understanding of software development life cycle principles related to shipping critical and always-on services in the cloud. Experience/familiarity in most of the following technology/stack areas: Scripting languages: Python, SQL. SQL/NoSQL databases/warehouses: Postgres, BigQuery, BigTable. Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine,Cloud Functions, Kubernetes Engine, Redis. Code testing libraries: PyTest, PyUnit, etc. Common ML and DL frameworks: scikit-learn, PyTorch, Tensorflow. Modeling methods: classical ML techniques, exposure to deep learning, gradient boosting, bayesian methods, and generative models. MLOps tools: DataBricks, MLFlow, Kubeflow, DVC. Data pipeline and workflow tools: Airflow, Argo Workflows, Cloud Workflows, Cloud Composer, Serverless Framework. Monitoring and Observability platforms: Prometheus, Grafana, Datadog, ELK stack. Infrastructure as Code platforms: Terraform, Google Cloud Deployment Manager, Pulumi. Other platform tools such as FastAPI, Docker, and data visualization tools such as Streamlit or Dash. Industry Specific A passion for daily fantasy sports and an understanding of the users, data, and competitive landscape. Personal Attributes Purposeful people growth, mentorship experience, and coaching perspective. Excellent organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams. Graduate degree in Computer Science, Statistics, Mathematics, Informatics, Information Systems or other quantitative field. Advanced degree preferred. What makes you stand out: Experience building with or leading a team using Rust, Go, or other high-performance programming languages. Experience building real-time production data science pipelines in a daily fantasy sports or odds-making business. Experience shipping products in both the D2C and B2B SaaS operational spaces. Experience deploying and upholding regulated data products. Where you’ll live: While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical salary range for this position is $155,000 to $215,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. Date Posted: 1/17/2025 First Extension: 2/17/2025 Second Extension: 3/17/2025 Third Extension: 4/17/2025 Fourth Extension: 5/17/2025 Benefits you’ll receive: In addition to your great compensation package, full-time employees will be eligible for the following perks: Company-subsidized medical, dental, & vision plans 401(k) plan with company match Annual bonus Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) Generous paid leave programs, including 16-week paid parental leave and disability benefits Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked Company-wide in-person events and team outings Lifestyle enhancement program Company equipment provided (Windows & Mac options) Annual performance reviews with opportunities for growth and career development You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Tiger Analytics is seeking a Data Science Analyst to join our team in Evansville, Indiana. The ideal candidate will have over 5 years of experience in the data and analytics space, with a strong grasp of data analysis, business analysis, and requirement gathering. Experience in the Consumer Packaged Goods (CPG) industry is highly preferred. Key Responsibilities Analyze large datasets to identify trends, patterns, and insights that drive business decisions. Work closely with business stakeholders to understand requirements and translate them into data-driven solutions. Collaborate with cross-functional teams to define business problems and develop actionable analytical models. Design and execute quantitative analysis, including statistical modeling and forecasting. Prepare clear visualizations and reports to communicate findings to non-technical audiences. Support the development of dashboards and KPIs to monitor business performance. Contribute to a culture of data-driven decision making across the organization. Requirements Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. 5+ years of hands-on experience in data analytics and business analysis. Proficient in tools such as SQL, Python, and data visualization platforms (e.g., Power BI, Tableau). Strong analytical thinking and problem-solving skills. Experience with requirement gathering and stakeholder engagement. Excellent communication and presentation skills. Prior experience in the CPG industry is a strong plus. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

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

Hi, Title – Sr. Software Engineer – Data Science Position – Fulltime Location – Boston, MA Salary - $Open (Best Possible) Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, Math, or related technical/science field 5+ years of software engineering experience 2 years data science / machine learning experience Requirements Preferred Qualifications: Significant experience with Python and Python data stack Professional experience with the “PyData” stack – e.g. NumPy, pandas, matplotlib, Jupyter Notebook Experience with Java and Apache Spark Nice to have: experience in healthcare analytics; experience in Apache Spark Note: If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!.

Leidos has an exciting opening for you, as our next TS/SCI cleared Product Owner , to play a critical role advancing the state of the art in mission-focused big data analytics and predictive analytics for DIA-National Media Exploitation Center (NMEC) under our 10-year DOMEX Technology Platform (DTP) contract. You will have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development. The selected individual will work closely with the Lead Systems Engineer, Release Train Engineer, and government leads to decompose high priority requirements from the product roadmap into valuable delivered solutions, executing on requirements analysis, design, system integration, and system testing. Candidates for this position require an ability to understand and articulate both business and technical needs, transforming them into actionable items within a software development environment. As a Data Science Product Owner, you will assist a Data Science Team in delivering advanced data science and machine learning capabilities to push forward national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to presentations with actionable intelligence insights. Our team supports both research and development projects as well as mission critical applications and the work includes applying machine learning libraries such as SciKit Learn, Keras, TensorFlow, or PyTorch to develop and train ML models. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. Percentage of remote work will vary based on client requirements/ deliverables priorities. Fun stuff you will do on the job: Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations. Provide a single point of contact for the D3P Data Science Team with government customers and stakeholders. Participate in requirements sessions, briefings, and status meetings. Develop, manage and continually improve the backlog of work items for an Agile scrum team. Update and prioritize stories and epics via feedback from various program stakeholders ensuring the team is always working on the highest-value tasks. Provide technical support, coordination, and execution of product owner activities such as feature/requirements analysis, design, implementation planning, integration and test, sustainment, documentation, deployment, and system assessment. Support Scaled Agile Framework (SAFe) program increment planning and execution through creation of work tickets as well as program/system documentation using collaboration software. Participate in all Agile ceremonies to include daily stand up, planning, reviews, and retrospectives. Stay informed of increment and sprint progress and work with the team to identify and remove impediments and dependencies. Perform backlog refinement on a regular basis. This may include decomposing features into workable stories, prioritizing or reprioritizing items in the backlog for upcoming sprints, refining acceptance criteria and complexity estimates or removing tickets that are no longer relevant. Accept or reject completed work based on defined acceptance criteria to ensure delivery of high-quality software. To be successful in this role you need these skills (required): BS Degree and 12-15 years of prior experience or Masters with 10-13 years of prior relevant experience in a quantitative or analytical field such as Engineering, Computer Science, Systems Engineering, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science or related field. 10+ years of experience in data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes. Must have an active TS/SCI with polygraph security clearance. Experience as a Product Owner, Scrum Master or a similar role in an Agile software development team. Demonstrated ability to break down complex problems into actionable steps. Experience managing and prioritizing product backlogs effectively. Strong understanding of Agile methodologies, and experience with tools for ticketing and documentation (e.g., Gitlab, Jira, Confluence). Experience with facilitating scrum for the team (Planning, Retrospective, Grooming & Review/Demo) Excellent communication skills (verbal and written) to articulate technical and non-technical concepts to diverse audiences. Proven ability to work cross-functionally with engineering, design, and project management teams. Demonstrated ability to manage expectations and maintain strong relationships with stakeholders. You will wow us even more if you have some of these skills: A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes. Significant experience dealing with at least two of the following data classes: open source, publicly available information (PAI); forensic media (i.e., DOMEX); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics Agile certification: Certified Scrum Product Owner (CPSO), SAFe Agilist or other. Experience with Elastic Search, Kubernetes, and Python. Familiarity with continuous integration/continuous development tools (e.g., Gitlab, Jenkins, Bamboo). Experience with creating design packages and workflows. Experience in writing technical solutions and whitepapers. Original Posting: May 28, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $126,100.00 - $227,950.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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

Who We Are: Harvesting Hope with a Growing Family At Merz Therapeutics, we take a nurturing approach to our organization – treating colleagues like family, embracing our whole selves and creating a company culture that encourages growth and decisive action. We are committed to caring for whole communities by focusing on individuals suffering from movement disorders and neurological conditions and the healthcare providers dedicated to helping them, while simultaneously bolstering our team members in a united effort to make a difference. As a private, family-owned company, we have the liberty and support to make decisions for ourselves, our customers and the patients we serve. We pride ourselves on building an inclusive culture where there is room to celebrate individual growth and the ability to contribute to a common good as a collaborative team. Our mission is grounded in a long-term view of making a difference for the common good, while growing together as a family. If you‘re looking to immerse yourself in a passionate team rooted in community, connection and camaraderie, then we’re looking for YOU! #IAmMerzTx Are you a self-starter, and do you thrive in entrepreneurial environments? As the Data Science Lead, Healthcare Insights , you will utilize your robust advanced analytics, predictive modeling, and deep expertise in healthcare data to drive commercial strategy and decision-making across the organization. This role requires a strong background in healthcare claims, EMR/EHR data, sales performance metrics, and market dynamics to develop actionable insights for sales, marketing, finance, and market access teams. Essential Duties & Responsibilities Advanced Data Science Application : Develop and apply statistical models and machine learning algorithms, such as regression and more advanced supervised learning techniques (i.e. Random Forest, decision-trees, etc.) to analyze market opportunities and business impacts. Targeting & Segmentation : Conduct thorough market analysis, targeting, and segmentation to guide marketing strategies and sales efforts. Insights Generation: Analyze claims data, sales patterns, and market research to provide insights into market trends, treatment pathways, and competitive dynamics. Stakeholder Support: Act as a strategic analytics consultant to multiple teams, providing insights on market trends, competitive analysis, and pricing strategies. Project Management: Lead analytics projects from concept to completion, ensuring they meet strategic objectives and comply with industry regulations. Storytelling the Data : Present complex analytics and insights in a comprehensible manner to stakeholders at all levels of the organization. Business Intelligence Dashboards: Collaboratively develop and maintain business intelligence dashboards that effectively visualize sales data, market trends, and competitive analytics, enabling informed decision-making across the commercial teams. Data Management : Advocate for and implement best practices in data management and analytics to drive continuous improvement in commercial operations. Job Related Qualifications & Skills Education: Bachelors in Data Science or Science, Technology, Engineering, or Mathematics related field required. Master’s degree in Data Science, Statistics, or a related quantitative field. Professional Experience: At least 3 years of experience in a data analytics role, preferably within the pharmaceutical industry required. Proven ability in applying machine learning techniques in a business context, especially in healthcare analytics preferred. Don't meet every single requirement? Studies have shown that women & people of color are less likely to apply to jobs unless they meet every single qualification. At Merz Therapeutics, we are dedicated to building a diverse, inclusive, and authentic workplace. So, if you're excited about this role, but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways! You just may be the right candidate for this or other roles. Diversity and Inclusion Here, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing results for our customers and patients. Our commitment to diversity is essential to who we are. To sum it up; you are welcome here.    Merz Therapeutics only sends emails from verified “merz.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of Merz Therapeutics, please contact Therapeutics.HR@merz.com .

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.

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.

Associate Director, Data Science This role is to be based near one of our offices in Los Angeles, Chicago, Austin, Oakland or New York. About us We turn customer challenges into growth opportunities. Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences. We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve. About the Associate Director, Data Science position Material is seeking an Associate Director of Data Science who is passionate about helping clients make data-driven decisions. This role focuses on customer analytics using consumer surveys, first party datasets (CRM/CDP), and/or digital behaviors. You have experience integrating disparate data sources to transform both structured and unstructured data into meaningful insights using data-oriented programming languages, statistical modeling/machine learning, and/or business intelligence (BI) visualization software. This position requires not only strong technical and analytical acumen, but also the ability to translate findings into structured “data narratives” that resonate with non-technical clients. The ideal candidate has a background in statistical modeling, extraction and transformation in enterprise data warehouses, and experience with AI/ML. While this role is primarily analytics-focused, our team is part of a broader data and analytics practice, offering opportunities for collaboration on AI applications. Your role will encompass these areas of responsibility: Technical Extract, cleanse, and combine data from multiple sources and systems. Build statistical models to extract insights and predictions of client KPIs. Data manipulation in relational databases and/or data warehouses. Collaborate with research and strategy teams, manage clients, synthesize, and execute statistical analyses. Develop and continually improve multi-source data architecture and analytics procedures, systems, workflows, and data pipelines in collaboration with analysts, data scientists, and data engineers. Assess impact of data quality and coverage on downstream analytics; creatively problem-solve against blockers Managerial Deliver executive-ready analytics reviews and strategic points of view supported by quantitative and statistical analysis and clear, concise communication. Collaborate with team members to build client relationships and to deliver complex results and presentations , including recommendations for improvement. Scale personal impact through formal and informal leadership of junior analysts. Develop analytic plans and troubleshoot deviations from established plans. Prioritize and respond to ad-hoc requests for analysis and data needs quickly and accurately. Contribute to the development of end-to-end, data-driven solutions. Stay current on industry best practices to be able to formulate and execute point-of-view documentation. Manage multiple simultaneous projects and workstreams. Ideal experience: ~3+ years relevant experience in a dedicated data science or analytics role Proficiency in Python or R. Experience with data preparation and processing in data warehouses (Snowflake, Big Query and Amazon Web Services) for data mining. Expertise translating model insights and predictions into story-driven reports and presentations for stakeholders. Demonstrated ability to use data science to drive and communicate business impact. Familiarity with quantitative analysis and research methodologies. Experience managing and prioritizing work streams for 2-3 stakeholders and departments in different geographies. Bonus experience: Familiarity with clickstream data providers such as Disco, Luth, Verto, MFour, Behavix. Experience analyzing survey data. Experience with cloud-computing. Familiarity with time series models. Experience with complex B2C stakeholder ecosystems, including CRM platforms (Salesforce, Hubspot), CDPs (mParticle, Treasure Data, Segment), and ESPs (Salesforce, Braze, Marketo). Hands-on experience with dashboarding software: Tableau, Power BI, or Data Studio. Understanding of research methodologies for agile test & learn programs. This growth path for this role includes managerial responsibilities, thus opportunity for career growth includes providing leadership in this analytical space. As such, managerial experience, or strong indicators for being ready for managerial responsibilities are a major plus. Why work for Material? In addition to fulfilling, high-impact work, company culture and benefits are integral to determining if a job is a right fit for you. Here’s a bit about who we are and highlights around what we offer. Who We Are & What We Care About Material is a global company and we work with best-of-class brands worldwide. We also create and launch new brands and products, putting innovation and value creation at the center of our practice. Our clients are in the top of their class, across industry sectors from technology to retail, transportation, finance and healthcare. Material employees join a peer group of exceptionally talented colleagues across the company, the country, and even the world. We develop capabilities, craft and leading-edge market offerings across seven global practices including strategy and insights, design, data & analytics, technology and tracking. Our engagement management team makes it all hum for clients. We prize inclusion and interconnectedness. We amplify our impact through the people, perspectives, and expertise we engage in our work. Our commitment to deep human understanding combined with a science & systems approach uniquely equips us to bring a rich frame of reference to our work. A community focused on learning and making an impact. Material is an outcomes focused company. We c reate experiences that matter, create new value and make a difference in people's lives. Pay Range: $95,000.00 – $125,000.00 The range shown represents a grouping of relevant ranges currently in use at Material. Actual range for this position may differ, depending on location and specific skillset required for the work itself. Equal Employment Opportunity All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law. Privacy Statement Material is committed to protecting privacy in our recruiting processes for all candidates. For more information, please refer to our . California-resident applicants should also refer to our California-resident Candidate Privacy Statement . If you need support with a privacy-related matter, please send an email to: privacyrequests@materialplus.i o

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 .

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

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.

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

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

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