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Clio is more than just a tech company-we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. Summary: Imagine being the Director, Data Science at Clio, the legal software company that is on a mission to revolutionize the legal experience for everyone. Reporting to Senior Director, Head of Data & Analytics, you will be responsible to build predictive and prescriptive solutions to enhance Clio's operations in marketing, sales, post-sales, and product development. In this role, you will partner with senior business leaders across go-to-market and product teams to identify opportunities for predictive and prescriptive data-driven solutions. You will lead development of advanced analytics and machine learning solutions for revenue forecasting, churn and cross-sell propensity modeling, pricing optimization, sentiment analysis, to name a few, and establish best practices for building modular reusable assets, to enable timely, robust, and rigorous analyses. You will mentor data science teams and collaborate with cross-functional stakeholders to deploy these solutions in practice and achieve the business impact. Your mission is to build the centre of excellence for data science, and to partner with senior leaders across Clio to make reliable, timely, and effective data-driven decisions! What you'll work on: Define and implement Clio's data science strategy that aligns with Clio's business objectives, including revenue growth, customer retention, and operational efficiency Establish an impact-driven prioritization framework and a comprehensive data science roadmap, with clear business cases for all initiatives Lead, manage, mentor, and grow a team of data scientists, and establish clear technical and professional development plans Foster strong collaboration across the Data & Analytics org, including with data modeling, business intelligence, data engineering, and operations analytics teams Partner with product teams to embed predictive and prescriptive analytics to improve customer experience and product adoption Be an active participant and contributor on the Business Operations Leadership Team and Extended Leadership Team (comprised of senior leaders Director+) Expand existing data science models to analyze customer behavior and predict their needs, interest, and readiness, and enable go to market teams to tailor their strategies Deploy machine learning models in production, ensuring scalability, reliability, and continuous monitoring of their performance Keep up-to-date with the latest developments in AI, and establish Clio as a thought leader in reusable data and analytics solutions, actively implementing and contributing to industry best practices Serve as a strategic voice and partner for senior leaders and executives, including educating the business on best practices and path to implement repeatable analytics and reporting About you: Graduate degree in Computer Science, Engineering, Statistics or a related field. 10+ years extensive experience building and scaling a data science function in a high-growth environment 10+ years extensive experience managing data, analytics, and engineering teams with 10+ direct and indirect reports 15+ years extensive hands-on experience with a wide range of data science and machine learning techniques, including classification, regression, time series forecasting, natural language processing, and unsupervised learning Experience reporting and presenting to senior business stakeholders Experience leading go-to-market initiatives and partnering with product development teams Experience with putting data science solutions in production and maintaining them Strong storytelling skills with the ability to coach and teach best practices, and to explain technical analyses to non-technical audiences Bonus points for: High level of business acumen obtained through professional experience or certification MBA, CFA, PMM Experience in SaaS or legal industry Experience with unstructured data and graph data structures What you will find here: Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. Some highlights of our Total Rewards program include: Competitive, equitable salary with top-tier health benefits, dental, and vision insurance Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days. Flexible time off policy, with an encouraged 20 days off per year. EAP benefits for you and household members, including counseling and online resources 401k matching and Child Education Savings Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years The full salary range* for this role is $240,700 to $300,800 to $360,900 USD. Please note there is a separate band for those in the San Francisco / Bay Area. For those outside the United States, there are a separate set of salary bands for other regions.. In addition, this role is eligible for variable pay that is based on company performance, with actual payout amounts calculated and paid on a quarterly basis. We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. Learn more about our culture at clio.com/careers

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

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 Data Science Engineer (Hybrid) *Visa Sponsorship is not available for this position. About the Center for Avian Population Studies The Center for Avian Population Studies (CAPS ) at the Lab is dedicated to enhancing biodiversity data resources to support conservation and scientific research. Central to CAPS, the eBird Status and Trends (S&T) project leverages innovative analytical methods to translate eBird’s global participatory science bird observations into standardized, scalable, cutting-edge scientific, computational data resources. Within CAPS, the Conservation Science Program is focused on translating S&T data resources into innovative approaches for how we understand and protect biodiversity, filling spatial and temporal data gaps and controlling for biases through advanced models. The freely available data products in CAPS empower researchers, conservationists, NGOs, and government agencies worldwide, advancing ecological insights, enabling evidence-based conservation planning, and redefining our approach to protecting the natural world. In 2024, these resources were downloaded more than 1 million times. The Opportunity While position responsibilities vary, all people leaders are expected to foster a culture of belonging and a psychologically healthy work environment by being trustworthy; respecting all individuals; being flexible; supporting work/life integration as well as healthy boundaries; inviting new ideas, alternatives, and perspectives; speaking up and taking action if others are being excluded or treated inappropriately; and recognizing the contributions of others. CAPS seeks a visionary computer science engineer who is excited to lead the development of artificial intelligence and machine learning approaches to real-world challenges and science-to-action needs that advance the strategic objectives of CAPS and the Lab. The desired candidate is a critical thinker who thrives working with an interdisciplinary team of ecologists, conservation scientists, engineers, and domain experts. The Senior Data Science Engineer will lead the research, development, and scaling of Artificial Intelligence/Machine Learning/Deep Learning (AI/ML/DL) using eBird data across all programs in CAPS and the Lab. This role will build on the success and experience of the existing team at developing a global workflow for high spatiotemporal resolution avian distributions and population trends, and for applying these to real world problems. The role will significantly expand the analysis capabilities of CAPS into joint species distribution models including the integration of new data modalities to leverage Lab data streams, expanding our geographic and taxonomic coverage, and developing novel approaches to strengthen inference for critical conservation planning and decision-making applications. The Senior Data Science Engineer will 1) lead research in AI/ML/DL, and related fields to identify, adapt, develop and scale methods to improve existing S&T analysis and data products, 2) collaborate in publishing findings in peer-reviewed conferences and journals and leading the engagement of CAPS with the AI/ML/DL and ecological research communities, 3) lead the development of new methods and data products that meet CAPS strategic objectives, including the testing and validation of prototypes, 4) lead research and testing that allows the transition of prototypes to production versions in collaboration with CAPS production team, CLO software engineers and external partners, 5) lead collaborations in AI/ML/DL across all CAPS science and production teams to advance important scientific and conservation applications of eBird analytical methods, tools, and data products. The Senior Data Science Engineer will be the technical lead for AI/ML/DL for all of CAPS and will develop and direct a professional team that includes research engineers and domain experts. This position will also lead collaborations in AI/ML/DL with similar positions in other Centers across the Cornell Lab and lead collaborations and knowledge transfer with the Institute for Computational Sustainability at Cornell University including the mentoring and supervision of graduate and postdoctoral students. What We Need Required Qualifications: Bachelor’s degree in in computer science or related field with a focus in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) and optimization or related sub areas of machine learning. At least five (5) years of experience in AI/ML/DL or equivalent combination of education and experience. Demonstrated experience in algorithm development and structured programming ability. Experience in scientific programming and the generation of highly complex code in Python , R , and C++ . Proven ability to develop AI tools for challenging large-scale spatiotemporal applications , for both predictive and inferential objectives. Demonstrated experience with large-scale multi-objective Pareto optimization , especially in sustainability applications . Ability to conduct collaborative research , from conception to completion. Demonstrated record of collaborating with teams on scientific publications in leading peer-reviewed conferences and/or journals . Proven experience in leading the integration of large-scale, multi-layered research projects into a production engineering system . Proven experience in leading the development and implementation of technical requirements, specifications and documentations for data processing systems through the application of engineering and scientific procedures . Excellent oral and written communication skills . Demonstrated ability to improve performance of a team through productive collaboration . Demonstrated success in conducting research and managing projects in an iterative production environment with ability to manage short- and long-term goals and deliverables. Experience in successfully reporting and meeting schedules and milestones of engineering/technology development projects that involve multiple stages and several participants. Must complete Cornell University Supervisory Development Training within one year of hire into the position. Compliant with all Cornell University and job-related training requirements . If you have all those things, great! We have a few more things that we would prefer you to have, but it’s ok if you don’t. Preferred Qualifications: Advanced degree strongly preferred. Prior experience working with participatory science, remote sensing , and climate data . Knowledge of birds or ornithology . Experience developing DL joint species distribution and abundance models for ecological or conservation applications . Demonstrated experience designing AI/ML/DL to support scientific exploration, statistical testing and inference . Demonstrated experience working in both academic research and industry production environments . Application Information: A Cover Letter and Resume are required for further consideration for this position. When applying through our system, please remember to attach your application materials (Cover Letter and Resume) in PDF format. Visa Sponsorship of any kind is not available for this position. Relocation assistance will not be provided for this position . What We Offer Rewards and Benefits This position is eligible for a hybrid work arrangement. Employees typically perform this role remotely three (3) days per week and on-campus two (2) days per week. The university reserves the right to modify, suspend, revoke or terminate the hybrid work arrangement at any time. Cornell receives national recognition as an award-winning workplace for our health, wellbeing, and sustainability. Our benefits programs include comprehensive health care options, generous retirement contributions, access to wellness programs, and employee discounts with local and national retail brands. We invite you to follow this link to get more information about our benefits: Understand Your Benefits | Working at Cornell . Our leave provisions include health and personal leave, three weeks of vacation and 13 holidays: Martin Luther King, Jr. Day, Memorial Day, Juneteenth, Independence Day, Labor Day, Thanksgiving and the day after, and an end of the year winter break from December 25-January 1. To offer greater flexibility for observing faiths and traditions we also offer two additional floating holidays. Learn more about our generous leave provisions: Holiday and Accrued Time Off | Working at Cornell Cornell's impressive educational benefits include tuition-free Extramural Study and Employee Degree Program, tuition aid for external education, and Cornell Children's Tuition Assistance Program. Learn more about our extensive educational benefits: Education Benefits | Working at Cornell Follow this link to learn more about the Total Rewards of Working at Cornell: Total Rewards | Working at Cornell . Cornell is an equal opportunity employer. For more information click here . University Job Title: Software Engineer IV Job Family: Information Technology Level: G Pay Rate Type: Salary Pay Range: $111,660.00 - $136,473.00 Remote Option Availability: Hybrid Company: Contract College Contact Name: Maria Avila Job Titles and Pay Ranges: Non-Union Positions Noted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria: Prior relevant work or industry experience Education level to the extent education is relevant to the position Unique applicable skills Academic Discipline To learn more about Cornell’s non-union staff job titles and pay ranges, see Career Navigator . Union Positions The hiring rate of pay for the successful candidate will be determined in accordance with the rates in the respective collective bargaining agreement . To learn more about Cornell’s union wages, see Union Pay Rates . Current Employees: If you currently work at Cornell University, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell. Online Submission Guidelines : Most positions at Cornell will require you to apply online and submit both a resume/CV and cover letter. 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You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing mycareer@cornell.edu . Notice to Applicants: Please read the required Notice to Applicants statement by clicking here . This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant. EEO Statement: Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of “... any person ... any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRRA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law. 2025-05-07

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 .

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 .

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.

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

We are passionate about our business and our culture, and are seeking individuals with that same drive. Summary At Moelis & Company, we collaborate to develop data-driven actionable intelligence that serves internal teams and external clients. We're focused on innovating and creatively solving for business opportunities. We're looking for fresh perspectives and top creative, analytical minds to harness the power of data assets across our Businesses. You'll join a team of problem-solvers who develop impactful solutions that create value for our clients and our people. This data science role involves working closely within our Data Science & Analytics team, cross-industry businesses, and technologists to develop and deliver insights with the greatest business impact. The successful incoming candidate will have a passion for technology, be comfortable working across a range of technology capabilities, and have enthusiasm for solving complex problems. We are seeking an team member who will be responsible for analyzing data and assist with the development of models for business-driven use cases across our Firm. The successful candidate will bring an innovative, analytical perspective to the team and be able to apply machine learning & AI to data assets to enhance business decision-making. They will be able to recognize which statistical methods are suitable for the business problem at hand and be comfortable explaining their findings in simple terms. Responsibilities Work with stakeholders as an internal consultant, identifying opportunities for leveraging data & AI to solve for business challenges and opportunities. Partner with business and technology teams across the organization to evolve data science and AI capabilities. Assist with the buildout of firmwide AI agents and pinpoint how AI can be leveraged to build out data sources and deliver business insights Develop thoughtful analyses and predictive models responsive to project requirements. Engage in end-to-end data science projects from data curation to fitting models to productionizing at scale. Combine machine learning techniques with unique data assets to optimize business decisions. Develop tools to leverage machine learning models to solve business use cases. Research and implement custom statistical models, machine learning algorithms, and Large Language Models Identify valuable data sources / datasets that can be leveraged to improve results. Required Skills and Experience 2-6 years of work-experience, preferably in Banking, Consulting, or similar environments Undergraduate degree with 3 years of work experience or Master's degree in data science, math, statistics, quantitative / computational finance, engineering, computer science or other quantitative / computing field with 2 years of work experience Experience with or interested in building AI agents on platforms such as Microsoft Copilot, Salesforce, Box or other enterprise-wide technology Knowledge of machine learning / data science theory, techniques and tools; experience with Natural Language Processing (NLP) and LLMs is a plus. Expertise using programming languages such as Python to run analyses and SQL for querying relational databases Ability to effectively communicate complex analyses and concepts to internal clients, and external as needed Excellent analytical, quantitative and critical problem-solving skills and demonstrated research ability Demonstrated ability to adapt quickly and deliver high-quality results under tight timelines despite competing demands A strong interest or previous experience in corporate finance or investment banking Interest in application of emerging technologies such as AI Additional Preferred Skills (Not Required Skills) Experience with data visualizations (e.g. Python-Dash, R-Shiny, Tableau, etc.) Expected Salary: USD $90,000 - $125,000 We are an Equal Opportunity Employer. Applicants are considered for employment opportunities without regard to race, age, religion, color, sex (including pregnancyand gender identity), parental status, national origin, marital status, veteran status, sexual orientation, political affiliation, citizenship status, genetic information (including family medical history), disability (in compliance with the Americans with Disabilities Act and any other applicable law), or any other characteristic or status protected under any applicable US, state or other law. This policy applies to all terms and conditions of employment, including recruitment and hiring, appraisal systems, promotions, and training. We are an Equal Opportunity Employer. Applicants are considered for employment opportunities without regard to race, age, religion, color, sex (including pregnancy and gender identity), parental status, national origin, marital status, veteran status, sexual orientation, political affiliation, citizenship status, genetic information (including family medical history), disability (in compliance with the Americans with Disabilities Act and any other applicable law), or any other characteristic or status protected under any applicable US, state or other law. This policy applies to all terms and conditions of employment, including recruitment and hiring, appraisal systems, promotions, and training.

Overview Job Summary: The IS Manager is responsible for planning, leading, organizing, and motivating the data science teams within the Connected Program to achieve a high level of performance and quality in delivering exceptional business value to users. The IS Manager is expected to lead and manage the development, deployment, and support of new and existing capabilities as it relates to artificial intelligence and business intelligence software, services, and platforms and integrated systems/solutions to meet the current and future needs of the business. This role is responsible for managing agile team in a high visibility global program (Connected) using various methods in a fast-paced environment that crosses multiple business divisions and operating companies globally. The IS Manager may play many different roles in actual practice: At an enterprise level, leading and managing large, complex technical deliverables consisting of multiple cross functional teams delivering AI and BI-driven predictions and recommendations to business users At a team level, orchestrate the continued formation and success of a high performing group of individuals with disparate technology backgrounds and skills with the purpose of producing the highest quality AI and BI solutions Drive the successful delivery of product-based initiatives across multiple teams and release trains In-office presence required at least 4 days per week Responsibilities Essential Functions: Drive team members to develop practices and processes that optimally advance the translation of effort into value creation; minimize total cost of ownership by establishing high bar on quality including test driven development, continuous integration, and automated unit testing; establish metrics to measure and help the teams improve Provide input to assist the Delivery Manager to implement Best Practices, SDLC standards, and champion ongoing process improvement initiatives to implement best practices. Work closely with the Enterprise Data team to collaborate on data governance standards, platforms, and shared data models Establish direction and clear sense of meaning to inspire teams in creating their own connection and passion to the business goals Act as technology owner, accountable for development and configuration implementation of capabilities related to data science, machine learning, Salesforce, Snowflake, Google Cloud Platform, Elasticsearch, and other related platforms Partner with Platform Architect, Product Owners and Business Sponsors in providing transparency in execution and monitoring within delivery plans. Manage deliverables, status, and quality elements throughout the lifecycle for work efforts that may span multiple functions, departments, and processes Identify risks, create mitigation plans and drive deliverables for production launches and articulate any operational/performance gaps needing to be addressed Provide recommendations for operational efficiency and process improvements subject to management review in support of change Supervisory or Management Responsibility: Act as Coach-Leader, coaching others in their development as leaders, catalyzing the growth of people's capacity to embrace greater complexity, and focus on helping others formulate their development agenda Assist in team development while holding teams accountable for their commitments, removing roadblocks to their work; leveraging organizational resources to improve capacity for project work; and mentoring team members Promote empowerment of the team, ensure that each team member is fully engaged in the project and making a meaningful contribution, and encourage a sustainable pace with high-levels of quality for the team Management responsibility for the teams, including hiring, leadership, development and accountability for performance. Establish operational/team objectives and goals. Evaluate conceptual aspects of technical designs of applications, systems and solutions to ensure sound decisions and investments are made in accordance with application architecture governance policies and standards. Budget Responsibility: Develops and manages budget Produces monthly forecasts Approves operational expenditures Determines variance of actual to forecast and takes action to correct/explain variances Plans capacity fluctuations based on roadmap of features Qualifications Minimum Education and/or Experience: BA or BS or equivalent experience is required Strong interpersonal skills including mentoring, coaching, collaborating, and team building Strong analytical, planning, and organizational skills with an ability to manage competing demands Proven ability to lead software development teams and efforts and ensure objectives, goals, and commitments are met Excellent oral and written communications skills and experience interacting with both business and IT individuals at all levels including the executive level Thorough understanding of project management methodologies, Agile continuous development and Systems Implementation Life Cycle Able to identify and understand complex problems/issues and develop solutions Experience with enterprise-scale applications Strong leadership, group facilitation, organizational, analytical and communication skills Experience working in an offshore/onshore collaborative environment Ability to travel internationally without restrictions required. Skills and Abilities: Solid understanding of Agile software development life cycle models Experience overseeing multi-function teams with at least 10-15 team members including developers, business analysts, UX/front-end developers and QA personnel Prior experience managing both software development and data science teams and initiatives Prior software development or data science experience - a plus Consulting background - a plus Software development or data science hands-on experience - a plusSalesforce, Snowflake platforms - a Plus Core Competencies: Build relationships Develop people Lead change Inspire Others Think critically Communicate clearly Create Accountability B enefits Overview: Benefits are subject to change and may be subject to specific elections, plan, or program terms. This role is eligible for the following: Medical, dental & vision Hospital plans 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents) Company paid Short and long-term disability Health & Dependent Care Spending Accounts (HSA & DCFSA) Transportation benefits Employee Assistance Program Tuition Assistance Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave) Salary Range: $116,600.00 - $174,800.00 This position is bonus eligible The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email Lauren Lara at llara@allegisgroup.com or call 410-579-3526 for other accommodation options.

WeRide is a leading, commercial-stage global company that develops autonomous driving technologies from Level 2 to Level 4. It offers an all-rounded product mix of Robotaxi, Robobus, Robosweeper, Robovan and Advanced Driving Solution to provide services. WeRide aims to develop safe and reliable driverless solutions to make our mobility and transportation safer, more affordable, and accessible. WeRide.ai Silicon Valley team is seeking a motivated Data Science Intern to join our Metrics Team. This role focuses on supporting the development and validation of L3+ Advanced Driver Assistance Systems (ADAS) and L4 Autonomous Driving (AD) Systems through foundational data analysis. As an intern, you will contribute to ensuring the safety and reliability of our autonomous technologies by assisting with data processing, data analysis, and statistical evaluation. What You Will Do: Data Processing : Extract, clean, and manipulate datasets using Python and SQL to support system performance assessments. Statistical Analysis : Apply advanced statistical methods (e.g., hypothesis testing, regression) to interpret behavioral data, identify trends, and evaluate system performance. Data Visualization : Create clear visualizations to communicate insights to engineers and stakeholders. Team Collaboration : Work with simulation, engineering, and product teams to integrate evaluation feedback. Requirements: Quantitative Degree : Current enrollment in a PhD program in Statistics, Applied Statistics, Biostatistics, Econometrics, Physics, Computer Science, Engineering, or related fields. Statistical Knowledge : Familiarity with advanced statistical concepts (experimental design, hypothesis testing, causal inference, time series analysis, etc). Programming Skills : Proficiency in Python and SQL for data tasks. Communication : Ability to explain technical findings to diverse audiences. Flexibility : Comfort collaborating across global time zones. What Happens Next: We’ll take a few weeks to review all applications. If we’d like to move forward with you, we’ll reach out to arrange the next steps, which may include an online assessment, a call with a recruiter, and 3 interviews with your future colleagues to better inform our decision. During the interview process, we aim to learn more about your skills, experiences, and motivators. Many of our questions will focus on understanding how you might operate here at WeRide. Please note that, due to the high volume of applications we receive, we’re unable to offer individual feedback during the interview process. We recognize that interviewing for a new role is significant, and we appreciate you considering WeRide as the next step in your career. Our Recruiting Team is here to support you throughout the interview process. Come join us and apply today! At WeRide , interns collaborate with industry leaders on impactful projects that drive meaningful results for the company. You'll apply your knowledge while gaining opportunities to expand your skill set. Our 12-week/ 3-month internship program begins in May or June 2025. Successful candidates must be available to work in the office five days a week. Interns will receive 1-on-1 mentorship, hands-on training, and engage in fun team-building activities as well as interactive workshops, enhancing both professional and personal growth.

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Data Science Manager, MET is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities: 40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments 25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts 15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management 20% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged Direct Manager/Direct Reports: This position typically reports to Senior Manager or above This position has Direct Reports & manages programs Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: 9+ years of experience in business intelligence and analytics Previous people or project team management experience Expertise in predictive modeling, data mining and data analysis Mastery running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Mastery utilizing statistical techniques to identify key insights that help solve business problems Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated proficiency in predictive modeling, data mining and data analysis Experience managing and growing team members in a professional setting 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. Minimum Years of Work Experience: 8 Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Persuades: Using compelling arguments to gain the support and commitment of others Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

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.

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!.

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.

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.

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..."