Apply now to join FAU on its race to excellence. For more information on everything FAU has to offer, please visit www.fau.edu/jobs. Note: Current FAU employees must apply as an internal applicant by logging into their existing Workday employee account. Position Summary: With over 30,000 students from all 50 states and over 180 countries, 21 intercollegiate teams, 180 plus degree programs, and an administration that thrives on discovery and excellence, FAU is pushing the boundaries of higher education. Florida Atlantic's faculty and staff are trailblazers and innovators with a passion for finding creative solutions while advancing science, art, and technology in all disciplines. Our work environment is a hub of cultures from across the nation and the world, making FAU a place where collaboration flourishes. The FAU Center for Online and Continuing Education (COCE) is seeking a Junior Data Scientist -Boca Raton, FL. The successful candidate will have an enthusiasm for leveraging technology to enhance student-learning environments and improve student-learning outcomes. Experienced in education research and transformative Artificial Intelligence innovations, the JDS will work with a team of researchers focused on supporting effective student-learning. The JDS will work on projects geared toward successful student preparedness for the digitally connected and competitive workforce. Those encouraged to apply must have a desire to propel a career in research and data analytics related to digital learning with the tools, skills, and experience gained from being a team member in the FAU Center for Online and Continuing Education. Summary of Responsibilities: <ul><li>Assist with quantitative, qualitative, and mixed-methods educational research</li><li>Assist with educational research and development</li><li>Assist in organizing data for compatibility with analytical tools</li><li>Collaborate on research dissemination for, but not limited to, scholarly academic writing, journal submissions, and professional conference presentations, as needed</li><li>Assist with grant and award writing</li><li>Collaborate on data collection instrument development</li><li>Assist with other initiatives for the Center for Online and Continuing Education, as assigned</li><li>Experience with statistical software, such as SPSS or similar</li><li>Experience collaborating on academic teams with individuals from varying professional backgrounds</li><li>Functional knowledge of varying coding language</li><li>Outstanding organizational abilities and attentiveness to detail</li><li>Experience working in the Canvas Learning Management System</li><li>Willingness to learn software programs and coding languages, as needed</li><li>Excellent communication skills</li><li>Willingness to flex and adapt</li><li>Willingness to serve as a team player</li><li>Problem-solving skills</li></ul> Minimum Qualifications: Master's of Science in Experimental Psychology, Information Technology and Management, Computer Science and Data Analytics; or similar degree from an accredited institution required. Preferred skills: •Ability to identify and utilize tools and coding languages that may serve varying projects, such as, SQL, MATLAB, PyCharm, and VPython •Functional knowledge of the Adobe Suite •Functional knowledge of EndNote software •Experience with graphic design for User Experience functionality and aesthetics Salary: $25.00 to $35.00 per hour. Other Personnel Services (OPS) College or Department: Center for Online & Continuing Education Location: Boca Raton Work Days and Hours: Monday - Friday, 8:00am - 5:00pm Application Deadline: 2024-05-01 Special Instructions to Applicant: Temporary positions are not established positions and are paid from OPS funds. Temporary positions are usually not eligible for benefits and retirement; however, they may be eligible for health insurance coverage depending on the average hours worked per week. They provide full-time or part-time employment in an exempt or non-exempt employment situation based on job duties and salary in accordance with the Fair Labor Standards Act (FLSA). Temporary positions do not have layoff rights and may be terminated without prior notice. Applicants hired into Temporary positions may apply for a regular appointment should a vacancy become available. APPLICATION DOCUMENTS REQUIRED: Resume Cover letter OFFICIAL SEALED TRANSCRIPTS REQUIRED: Final candidate will be required to have official, sealed transcripts and original NACES evaluation, if applicable, sent from their educational institution to Human Resources prior to the start of employment. PRE-EMPLOYMENT SCREENINGS REQUIRED: Selected candidates must successfully complete and pass all employment screenings prior to the start of employment. Employment screenings may include a criminal background check (level I and level II), motor vehicle check, credit check, reference checks, alcohol, and drug screening check. REQUEST FOR ACCOMODATIONS: Individuals with disabilities requiring accommodations may contact Human Resources at 561-297-3057. For inquiries concerning employees, job applicants or other available accommodations, please email accommodate@fau.edu or call the Office of Civil Rights and Title IX at (561) 297-3004.

Apply now to join FAU on its race to excellence. For more information on everything FAU has to offer, please visit www.fau.edu/jobs. Note: Current FAU employees must apply as an internal applicant by logging into their existing Workday employee account. Position Summary: Florida Atlantic University is seeking an Assistant (Tenure-Track) Professor in Data Science at the Christine E. Lynn College of Nursing - Boca Raton, FL, who will assist with developing research and quality improvement projects related to healthcare and caring science. This position is a 9-month tenure-track faculty line. S/he will (a) work with a team to develop a data science concentration with a postgraduate certificate, (b) teach undergraduate and graduate courses in Data Science in the Healthcare/Caring Science domain, and (c) develop research and quality improvement projects related to healthcare. Responsibilities may also include data science course development, analysis of large data to discover trends and patterns, building predictive models using machine-learning algorithms, and employing ensemble machine-learning models as specified by researchers and stakeholders. The candidate will collaborate with interdisciplinary teams on issues related to data science principles and analytical methods. The Christine E. Lynn College of Nursing is committed to building a welcoming and inclusive educational environment. We are seeking faculty who can contribute to the excellence in our programs and courses through their research, teaching and service. Our research advances caring science in the areas of: healthy aging across the lifespan, holistic health, health equity, and transforming nursing practice environments. https://nursing.fau.edu/research/index.php Candidates who can contribute to research that aligns with the College of Nursing's and FAU's research pillars within the I-HEALTH and I-BRAIN research institutes are encouraged to apply. To enhance interdisciplinary and collaborative research, FAU established university-wide research institutes. These research pillars are: I-HEALTH, I-BRAIN, I-SENSE & FAU Harbor Branch. These areas are dedicated to improving and addressing diseases of the brain, enhancing human health and quality of life, protecting the oceans and environment locally and globally, and using sensors to study and monitor the world around us. The FAU Institute for Human Health and Disease Intervention (I-HEALTH, https://www.fau.edu/i-health/). I-HEALTH supports cancer, infectious diseases, and human health and dementia research, education, and community engagement programs across multiple FAU campuses and colleges. Faculty members of I-HEALTH qualify for pilot grants, research technology support, and subsidized use of the I-HEALTH Bioanalytical Core Facility. I-HEALTH faculty pursue research including therapeutic intervention strategies, development of novel diagnostics, environmental contributions to human health, and clinical trials. The FAU Stiles-Nicholson Brain Institute (I-BRAIN, https://www.fau.edu/ibrain). I-BRAIN supports neuroscience research, education and community engagement programs across multiple FAU campuses and colleges. Faculty members of I-BRAIN qualify for pilot grants, graduate student fellowships, research technology support, and subsidized use of I-BRAIN Core facilities including the FAU Cell Imaging Core and Neurobehavior Core. I-BRAIN faculty pursue research across the full spectrum of neuroscience, ranging from genetic and molecular neuroscience, cellular and circuit analysis of brain function, behavioral studies in models and man, cognitive and computational neuroscience, and disease mechanism and treatment studies. The position is anticipated to start in August 2024 for the Fall semester. Summary of Responsibilities: <ul><li>Collaborate with other faculty and staff on healthcare-related projects.</li><li>Support various projects' goals, feasibility testing, and success criteria.</li><li>Work independently and in coordination with other team members to deliver projects, providing frequent and detailed feedback to stakeholders.</li><li>Collaborate with the research team on machine learning projects, including exploratory data analysis, data visualization, data clean-up and augmentation, model training, and model evaluation.</li><li>Develop reproducible experiments using high-quality, well-established software development practices, including automated test/verification, version control, and proper code/project documentation.</li><li>Develop programming/coding to present results in Python Jupyter Notebooks, R, or similar tools.</li><li>Disseminate findings to healthcare and data science audiences.</li><li>Research new data science and machine learning developments and how they apply to healthcare.</li><li>Publish original data science research in peer-reviewed journals.</li><li>Developing research and quality improvement projects related to healthcare and caring science.</li><li>Develop a data science concentration with a postgraduate certificate.</li><li>Teach data science courses at the undergraduate and graduate levels and mentor post-doctoral fellows.</li></ul> The Christine E. Lynn College of Nursing at Florida Atlantic University seeks scholars who are committed to supporting the learning needs of students from diverse backgrounds and to thoughtfully engaging all communities in higher education. Florida Atlantic University embodies a culture of strategic and collaborative community engagement that results in mutual benefit to the institution and the various internal and external communities that it serves. Minimum Qualifications: •Ph.D. concentration in Data Science / AI or related areas, emphasizing healthcare data analysis and working experience in machine learning. •Expertise in developing and implementing advanced analytics and machine learning models to explain or predict patients' and clinicians' behavior, experience, and outcomes. •Ability to develop, document, and maintain analytical data files with variables derived from primary databases that are suitable and structured for statistical and predictive analytics. •Experience with a range of digital health projects, from predictive analytics platforms to population health management systems. •Experience with machine learning models and concepts, such as predicting analyses, deep neural networks, transfer learning, and data tabulation and imaging. •Familiarity working in a cloud environment (e.g., AWS, MS Azure), Git, Databricks and data visualization frameworks (e.g., Power BI, Tableau). •Experience with version control tools, such as Git and GitHub. •Excellent verbal and written communication skills, capable of explaining the different aspects of projects and experiments to diverse audiences using textual and graphical explanations. •Fosters and creates educational opportunities where all student populations thrive. Preferred Qualifications: •Post-doctoral experiences in data science. •A record of accomplishment of prioritizing and coordinating multiple tasks. •Familiarity with caring science theories and applications to data science. •Familiarity with healthcare databases, such as All of Us and TriNetX. •Familiarity with healthcare concepts like DICOM, EHR, FHIR, and laboratory data proficiency. •Oversee various Experience data management projects using the REDCap data collection/data management system to create and manage project forms, surveys and databases and serve as a technical resource for REDCap-related issues. •Demonstrated knowledge of the US Health Care System, including standard healthcare coding systems such as ICD 9/10 codes, and a clear understanding of HIPPA compliance practices. •Demonstrated ability to work independently to plan and deliver complex projects and collaborate in a team environment. •Familiarity with the scholarly publishing process, demonstrated by authorship of papers in peer-reviewed journals and attending professional meetings, presentations, and workshops. •Demonstrated experience working in and fostering an inclusive environment among faculty, staff, and students. •Experience developing curricula and post-graduate certificates in data science. Salary: Commensurate with Experience College or Department: College of Nursing Location: Boca Raton Work Days and Hours: N/A Application Deadline: 2024-05-03 Special Instructions to Applicant: This recruitment has been reopened; all previous applicants are still under consideration and need not reapply. This position is open until filled and may close without prior notice. This position is subject to funding. All applicants must apply electronically to the currently posted position on the Office of Human Resources' job website (https://fau.edu/jobs) by completing the required employment application for this recruitment and submitting the related documents. Required Documents: FAU's Career Page permits the attachment of required/requested documentation. PLEASE NOTE: A maximum of five (5) documents may be attached to your application. If more than five (5) documents are required for submission, please combine additional documents into a single attachment to not exceed the maximum permitted. The site permits the attachment of required/requested documentation. When completing the online application, please upload the following: a cover letter and resume. Transcripts: The selected candidate for this position is required to submit an official transcript sent directly from the institution for the Provost's credential file prior to the first day of employment. Similarly, for degrees from outside the United States, the evaluation by an organization belonging to the National Association of Credential Evaluation (NACES), with an indication of the documents the evaluation was prepared from (official transcripts, diplomas, dissertation abstracts) is required for the Provost's credential file prior to the first day of employment. Transcripts must be issued to Florida Atlantic University, not to the individual applicant. Background Screening: Selected candidates must successfully complete and pass all employment screenings prior to the start of employment. Employment screenings may include a criminal background check (level I and level II), motor vehicle check, credit check, reference checks, alcohol, and drug screening check. As a Hispanic-serving institution, Florida Atlantic University (FAU) is one of the most racially and ethnically diverse institutions in the Florida state university system. We are committed to recruiting and retaining talented faculty and staff. We embrace our shared responsibility to create and celebrate a welcoming and inclusive campus environment for all. Our community features excellent schools, a vibrant and safe community, and a sub-tropical climate conductive to year-round outdoor activities. Accommodations: Individuals requiring accommodation, please call 561-297-3057. 711

Mutual of America Financial Group Job Title: Data Scientist Location: Boca Raton, FL (Hybrid) Who We Are: At Mutual of America Financial Group, we help people build the assets they need to achieve greater financial security. Our Company is built upon a solid foundation of integrity, excellence, and social responsibility. Since 1945, we have specialized in providing small and mid-sized not-for-profit organizations and companies with pension and retirement-related services, along with leading customer support. We work diligently to understand the needs of plan sponsors. We provide them with competitively priced solutions so they can help their employees achieve their financial savings goals. We are committed to bringing talented and motivated people together to help our customers achieve a financially secure future. Role Summary: Mutual of America continues a transformation journey to develop and deploy data-driven, data science enabled solutions across multiple business verticals, as it implements its Artificial Intelligence vision. Our team requires that we work across several areas, being artificial intelligence (AI) and Generative AI, with its subfields of data analysis, data analytics, data science, data engineering, visualizations, machine learning, deep learning, NLP, MLOps, user experience, interaction with business users and integration of our solutions onto user applications, therefore it offers the opportunity to expand ones knowledge onto all areas needed to build value for the business. The Data Scientist will report into the Vice President, Artificial Intelligence. Responsibilities: The Data Scientist will be responsible for contributing to related efforts, including data discovery, business process analysis, exploratory data analysis, integration, transformation (wrangling, scaling, etc.), algorithm selection and experimentation, model tuning, solution development and solution deployment In addition, the Data Scientist is expected to measure model performance, improve it, and adjust the process based on feedback received The Data Scientist will be working with various teams across the enterprise, have a positive attitude, patience, and work effectively, with a solution delivery and value generation focus Required Qualifications: Masters degree in data science, machine learning, engineering, or similar field 5+ years of relevant work experience Experience with data analysis and process analysis and mapping Proficiency in Python, SQL, and MS Office applications Knowledge and experience in statistical, data mining and machine learning techniques: Regression, Random Forest, Boosting, Trees, text mining, social network analysis, clustering, etc. Knowledge of Generative AI and LLM technologies Must be eligible to work in the United States without sponsorship There is a quiz provided as part of the interview process Preferred Qualifications: Experience with autoML and auto data science tools (e.g., Dataikus DSS is highly preferred) Experience with LLMs, Prompt Engineering, and GenAI solution development and deployment Experience with the AWS machine learning stack and AWS data pipelines and related services (Sagemaker, EC2, S3, ElasticSearch, etc.) Familiarity with deep learning packages and deep learning architectures (such as Keras, TensorFlow, PyTorch, NLP techniques, CNNs, RNNs, LSTMs, Transformers, etc.) Familiarity with data visualization tools (e.g., Qlik, Tableau, PowerBi) Application development (full stack, emphasis on UI) What we offer you: Competitive base salary Annual Bonus Comprehensive Benefits Package (medical, dental, and vision) that starts day one of employment 401(k) Match: You will be eligible to receive up to 9% of your pay (salary and incentive compensation) in company contributions. A non-elective employer contribution of 3%, plus a 100% employer match on employee contributions of up to 6% of pay. Parental Leave: 8 weeks fully paid Paid time off: 20 days plus two floating personal holidays Matching Gift Program: Mutual of America matches donations of $25 or more to your favorite organizations Visit www.mutualofamerica.com/careers for additional details about life at Mutual of America. You can also follow us on Twitter: @mutualofamerica | Facebook: @mutualofamerica Mutual of America Financial Group provides equal employment opportunity to all qualified employees and applicants for employment regardless of race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, or any other classification prohibited by applicable law. #J-18808-Ljbffr

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring At TransUnion, we strive to build an environment where our associates are in the drivers seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day. Come be a part of our team youll work with great people, pioneering products and cutting-edge technology. What You'll Bring Masters or PhD degree in statistics, applied mathematics, physics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a Bachelors degree in a quantitative field with 3+ years of relevant professional experience 4+ years of experience in analytics based roles, supporting internal and external clients Advanced programming skills with the below tools: R or Python SQL, C/C++, Java, Ab Initio Hive, Spark Solid understanding of deep learning concepts and architectures Strong knowledge of time series analysis, modeling and forecasting time series data and hands on implementation experience with machine learning frameworks (TensorFlow) Proven project management abilities; designing, developing, and delivering complex solutions This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week Wed Love To See Prior experience working in financial services or FinTech Working knowledge of large language models (LLM) Hands on experience with Generative AI (GenAI) Experience with Google Cloud Platform (GCP) Impact You'll Make Our culture encourages teammates to hone in on current skills and build new capabilities, while discovering their genius. We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies. Our Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we will appreciate them. Drive new business initiatives and deliver long term, value-added solutions to TransUnion customers through the development of analytic solutions to complex problems. Own analytic consulting for a variety of clients, identifying strategies and opportunities to test and adopt TransUnions analytic products and services. Lead complex custom analytic engagements for a variety of business use cases from start to finish; contributing to opportunity management, designing solutions, leading analytic developments, and seeing solutions through to deployment and on-going monitoring. Present analytic insights and recommendations for internal and external customers. Develop analytic solutions, formalizing some efforts into repeatable process improvements. Contribute to research and innovation initiatives; leading analytic research teams/ interns on a project basis. Mentor and train junior colleagues, fostering a high-performance culture and cultivating an environment that promotes excellence and reflects the TransUnion brand. #DICE Benefits TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, tuition reimbursement, additional (following any short-term disability) 10 weeks of parental leave with gradual return, adoption assistance, fertility coverage, spousal and domestic partner benefits, charity gift matching, employee stock purchase plan, retirement contributions with employer match, organizational growth potential through our online learning platform with guided career tracks, and access to TransUnions Employee Resource Groups. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Pay Scale Information The salary range for this position is $95,105.00 - $156,000.00. *The salary range for this position reflects the general range of compensation for this job and does not include our bonus incentive(s). This position is eligible for bonus incentive(s). At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individuals education, training, work experience, job-related skill set, industry knowledge, as well as the scope and responsibilities of the position, and market considerations. TransUnion's Internal Job Title Sr Consultant, Data Science and Analytics #J-18808-Ljbffr

Description Our Company: At red violet, we build proprietary technologies and apply analytical capabilities to deliver identity intelligence. Our technology powers critical solutions, which empower organizations to operate with confidence. Our solutions enable the real-time identification and location of people, businesses, assets, and their interrelationships. These solutions are used for purposes including risk mitigation, due diligence, fraud detection and prevention, regulatory compliance, and customer acquisition. Our intelligent platform, CORE, is purpose-built for the enterprise, yet flexible enough for organizations of all sizes, bringing clarity to massive datasets by transforming data into intelligence. Our solutions are used today to enable frictionless commerce, to ensure safety, and to reduce fraud and the concomitant expense borne by society. The Role: Were looking for a Data Scientist to join our Seattle team. Youll use your programming, mathematics and analytics experience to write scalable, production facing code and develop creative solutions to challenging problems. Together well be working in highly distributed, Linux-based environments that leverage our proprietary search and computing platform. What You Will Do: Design, develop, and maintain complex data fusion and entity resolution algorithms sitting at the core of our risk management offerings. Create novel search capabilities that leverage inverted indices, Bayesian inference and higher order clustering techniques. Develop ETL systems and data pipelines to interface new data assets with our proprietary distributed data processing platform Work closely with our engineers to integrate your innovations into our production systems. Support business decisions with ad hoc analysis as needed. Other duties as assigned What You Bring: Degree in Computer Science, Machine Learning, Math, Statistics, Physics, or related field. Strong background in C++ or another compiled, strongly typed, object-oriented language. Experience working with large data sets for data mining, analytics, modeling. Understanding of relational algebra and database operations Experience with Bash scripting in a Linux environment Prefer experience with geospatial analytics, graph theory, high performance computing, and / or machine learning What We Offer: red violet offers excellent benefits including opportunity for stock (RSU) grants, a 401K and generous company match, flexible PTO policy, medical, dental and vision coverage, commuter benefits, in-office healthy snacks, team events and more. red violet is proud to be an Equal Opportunity Employer. #J-18808-Ljbffr

Data Scientist Jobs in Boca Raton, FL

Junior Data Scientist Center For Online Continuing Education
April 22, 2024

Business Intelligence Analyst Data Scientist
April 19, 2024

Business Intelligence Analyst Data Scientist
April 16, 2024

Data Scientist College Of Nursing
April 16, 2024

Data Scientist College Of Nursing
April 7, 2024

Data Scientist
April 4, 2024

Senior Data Scientist
April 4, 2024

Data Scientist
April 3, 2024

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Data Scientist Jobs in Boca Raton, FL

Junior Data Scientist Center For Online Continuing EducationApril 22, 2024

Business Intelligence Analyst Data ScientistApril 19, 2024

Business Intelligence Analyst Data ScientistApril 16, 2024

Data Scientist College Of NursingApril 16, 2024

Data Scientist College Of NursingApril 7, 2024

Data ScientistApril 4, 2024

Senior Data ScientistApril 4, 2024

Data ScientistApril 3, 2024