Data scientist jobs in Iowa - 137 jobs

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. U.S. citizenship is required for this position due to government contract requirements. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage #LI-Remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Farm Bureau is looking for a strong data driven professional to join our team and help us live out our mission of protecting livelihoods and futures. In this role, you will perform statistical analysis as part of the predictive modeling team and assist in the delivery of pricing models and competitive research. Candidate must be local to the Des Moines area, or willing to relocate as at least three days in the office is required per week. Candidates must also have predictive modeling or actuarial experience. Who We Are: At Farm Bureau Financial Services, we make insurance simple so our client/members can feel confident knowing their family, home, cars and other property are protected. We value a culture where integrity, teamwork, passion, service, leadership and accountability are at the heart of every decision we make and every action we take. We're proud of our more than 80-year commitment to protecting the livelihoods and futures of our client/members and creating an atmosphere where our employees thrive. What You'll Do: * Develop, implement, and document predictive models * Interpret results to audiences of various technical knowledge * Test, validate, and correct / clean data as needed * Collaborate with managing actuaries on the pricing teams to deliver results What It Takes to Join Our Team: * College degree plus 3 years predictive modeling experience required. * Property Casualty experience preferred. * Must have strong skills with SQL, R, Emblem or other predictive modeling software. * Be team focused and be able to work in a collaborative work environment. * Strong communication and presentation skills. What We Offer You: When you're on our team, you get more than a great paycheck. You'll hear about career development and educational opportunities. We offer an enhanced 401K with a match, low-cost health, dental, and vision benefits, and life and disability insurance options. We also offer paid time off, including holidays and volunteer time, and teams who know how to have fun. Add to that an onsite wellness facility with fitness classes and programs, a daycare center, a cafeteria, and for many positions, even consideration for a hybrid work arrangement. Farm Bureau....where the grass really IS greener! Work Authorization/Sponsorship Applicants must be currently authorized to work in the United States on a full-time basis. We are not able to sponsor now or in the future, or take over sponsorship of, an employment visa or work authorization for this role. For example, we are not able to sponsor OPT status.

As an Imaging Data Scientist for one of our Agricultural Sciences customers, you will work at the intersection of plant cell biology and applied AI to build, productionize, and maintain computer vision pipelines that accelerate Doubled Haploid (DH) breeding in Biotechnology. You will contribute to end‑to‑end imaging and analytics-from microscopy microspore detection to macroscopic structure assessment and plantlet characterization-supporting decisions that reduce cycle time and cost in DH programs. Solutions will be developed primarily in Python, integrated with our repositories and workflow tooling, and aligned with Biotech strategy initiatives. Day to day responsibilities include: Design & deliver deep learning-based CV models for microscopy and macroscopic assays (detection, segmentation, classification) with measurable accuracy, robustness, and throughput. Build production‑ready pipelines in Python (data ingest, preprocessing, augmentation, inference, batch processing), integrated with GitLab repos and experiment tracking; ensure reproducibility and documentation. Implement hyperspectral analysis workflows (band selection, normalization, feature extraction, model training). Harmonize imaging acquisition with analysis by collaborating with biology teams to standardize microscopy/RGB/hyperspectral capture and file formats (e.g., FIJI/ImageJ for z‑stacks; auto scale practices). Quantify model performance (precision/recall, F1, ROC/AUC, calibration) and write clear reports/posters for DH sessions; support fact‑checking in presentations. Operationalize at scale: batch processing of tens of thousands of structures/images; optimize inference (e.g., torch. compile, mixed precision) and monitor resource usage. Partner with DH stakeholders (biotech & breeding, Genome Technology Discovery, Data Science) to align deliverables with deployment milestones. Maintain IP & data stewardship practices consistent with internal strategy; avoid disclosure of confidential protocols while enabling model re‑use. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements 4-6 years hands‑on in computer vision with Python (PyTorch/TensorFlow), including detection/segmentation/classification for scientific or industrial imaging. Proven ability to productionize models: Git/GitLab, code reviews, CICD basics, experiment tracking (MLFlow or equivalent), reproducible data/experiments, and clear documentation. Experience with microscopy image processing, multi‑page TIFFs, z‑stacks, autoscale/normalization, and image quality challenges. Familiarity with hyperspectral or multispectral imaging pipelines (preprocessing, dimensionality reduction, modeling) applied to plant or biological materials. Track record of measurable model performance reporting and communicating results via posters/presentations for technical audiences. Stakeholder communication skills, willing to take ownership of project work Vision Transformers (ViT) and modern YOLO workflows for microscopy/macroscopic tasks; comfort with infer tooling. Experience optimizing inference (e.g., torch.compile, mixed precision) and scaling batch workflows. Domain familiarity with Biotech breeding workflows. Collaboration with discovery and strategy teams; ability to work across biology, engineering, and data science groups.

Bettendorf, Illinois, US Chicago, Illinois, US North Chicago, Illinois, US Rock Island, Illinois, US Moline, Illinois, US Davenport, Iowa, US Business Systems/Analysis 18303 Full-Time $85032.41 - $141720.69 Description & Qualifications** **Position Description & Qualifications** As a Data Scientist, Senior you will play a key role in supporting the Army Sustainment Command (ASC). In this role, you will: - Perform advanced analysis and analytics to produce algorithms and/or business process recommendations. - Develop and use data, algorithms, and analyses to identify and apply mechanisms to both overcome impediments to materiel readiness and exploit opportunities to improve readiness through feasible, cost-effective software and business process improvements, changes, and interventions. - Forecast and address complex analytical challenges and identify the challenges and opportunities within systems, develop comprehensive solutions, and incorporate these capabilities solutions into software and workflows. - Develop analytics and process solution sets, the criteria for recommended algorithms and processes shall include preference for efficient methods that use as simple of a process as possible given the current state-of-the-art practices. The analytics and process solution sets shall provide appropriate, economic savings-driven answers. - Regularly identify and communicate courses of actions required for program and project success, including appropriate reporting processes and applicable metrics to monitor and assess outcomes. - Proactively identify mechanisms to improve mission performance. - Use appropriate quantitative analytics techniques to include time series analysis and forecasting, advanced multivariate regression (including Probit and Logit Models), systems dynamics modelling, Bayesian inference procedures, minimax procedures (statistical), subjective probability utilization, expected utility analysis, operational risk analysis, and uncertainty evaluation. - Use appropriate qualitative analytics techniques to include multi-criteria decision analysis, qualitative comparative analysis, causal mapping, formal game theory, minimax procedures (game theory), decision architecture, systems architecture analysis, organizational analysis and structural reform, supply chain analysis,and multinational best practices (military and industry) evaluation. - Use logistics and agent-based modeling and simulation. - Conduct business process analysis and optimization across the Doctrine, Organization, Training, Materiel, Leadership, Education, Personnel, Facilities, Policy (DOTMLPF-P) spectrum and beyond. - Produce formal use cases, software program change requests, and other required documentation for technology insertion into related defense logistics support software. - Interface and liaise with software program offices and contractors. - Develop requirements for defense analytics software. - Conduct stakeholder analysis and create products for stakeholder communications and messaging. **POSITION QUALIFICATIONS** To be successful in this role, you will have: + U.S. Citizenship + An Active Secret Clearance or an interim Secret Clearance. + Master's Degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline. + Minimum 4 years of experience working directly on a data science team. + Superior communication skills, both oral and written. + Experience working with tools, including objectoriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn). + Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact. + Working knowledge of databases and SQL. + Preferred qualifications include linking analytic and data visualization products to database connections. + Familiarity with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. + Familiarity with unstructured text and natural language processing, R, Python, SAS, MATLAB, Anaconda, IBM Blue, and Oracle Big Data to analyze large data sets and develop automated analytics. + Familiarity with machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets. + Familiarity with supervising algorithm implementation in on premise and cloud-based computing environments. + Familiarity with developing software to generate reports and visualizations that summarize data sets and provide data-driven insights. + Familiarity with developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions. **Company Overview** Serco Inc. (Serco) is the Americas division of Serco Group, plc. In North America, Serco's 9,000+ employees strive to make an impact every day across 100+ sites in the areas of Defense, Citizen Services, and Transportation. We help our clients deliver vital services more efficiently while increasing the satisfaction of their end customers. Serco serves every branch of the U.S. military, numerous U.S. Federal civilian agencies, the Intelligence Community, the Canadian government, state, provincial and local governments, and commercial clients. While your place may look a little different depending on your role, we know you will find yours here. Wherever you work and whatever you do, we invite you to discover your place in our world. Serco is a place you can count on and where you can make an impact because every contribution matters. To review Serco benefits please visit: ************************************************ . If you require an accommodation with the application process please email: ******************** or call the HR Service Desk at ************, option 1. Please note, due to EEOC/OFCCP compliance, Serco is unable to accept resumes by email. Candidates may be asked to present proof of identify during the selection process. If requested, this will require presentation of a government-issued I.D. (with photo) with name and address that match the information entered on the application. Serco will not take possession of or retain/store the information provided as proof of identity. For more information on how Serco uses your information, please see our Applicant Privacy Policy and Notice. Serco does not accept unsolicited resumes through or from search firms or staffing agencies without being a contracted approved vendor. All unsolicited resumes will be considered the property of Serco and will not be obligated to pay a placement or contract fee. If you are interested in becoming an approved vendor at Serco, please email ********************* . Serco is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. **Pay Transparency** Our Total Rewards package includes competitive pay, performance-based incentives, and benefits that promote well-being and work-life balance-so you can thrive both professionally and personally. Eligible employees also gain access to a wide range of benefits from comprehensive health coverage and health savings accounts to retirement plans, life and disability insurance, and time-off programs that support work-life balance. Program availability may vary based on factors such as contract type, location, hire date, and applicable collective bargaining agreements. Salary range: The range for this position can be found at the top of this posting. This range is provided as a general guideline and represents a good faith estimate across all experience levels. Actual base salary will be determined by a variety of factors, including but not limited to, the scope of the role, relevant experience, job-related knowledge, education and training, key skills, and geographic market considerations. For roles available in multiple states, the range may vary to reflect differences in local labor markets. In addition to base salary, eligible positions may include other forms of compensation such as annual bonuses or long-term incentive opportunities. Benefits - Comprehensible benefits for full-time employees (part-time employees receive a limited package tailored to their role): + Medical, dental, and vision insurance + Robust vacation and sick leave benefits, and flexible work arrangements where permitted by role or contract + 401(k) plan that includes employer matching funds + Tuition reimbursement program + Life insurance and disability coverage + Optional coverages that can be purchased, including pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection + Birth, adoption, parental leave benefits + Employee Assistance Plan To review all Serco benefits please visit: ******************************************* . Serco complies with all applicable state and local leave laws, including providing time off under the Colorado Healthy Families and Workplaces Act for eligible Colorado residents, in alignment with our policies and benefit plans. The application window for this position is for no more than 60 days. We encourage candidates to apply promptly after the posting date, as the position may close earlier if filled or if the application volume exceeds expectations. Please submit applications exclusively through Serco's external (or internal) career site. If an applicant has any concerns with job posting compliance, please send an email to: ******************** .

At Emerson, we pride ourselves on our industry-leading control valve portfolio, featuring top brands like Fisher , Sempell , and Crosby . These brands power the world through a wide range of applications across various industries, from refining and hydrogen to nuclear power. By joining our Supply Chain Digitalization team, you'll become part of an almost 150-year legacy that began with William Fisher in 1880 and help us take the next steps into the future by harnessing statistical analytics and emerging technologies to deliver products to customers faster and with greater certainty. We're looking for someone who is eager to take these next steps with us and make a significant impact on our operations. If this sounds like the perfect opportunity for you, we encourage you to apply and become a vital part of our team. Together, we can continue to drive innovation and excellence in the industry. Relocation assistance available. We look forward to hearing from you! In This Role, Your Responsibilities Will Be: Use statistics, programming, modeling, and related analytics to extract actionable insights from complex operations and supply chain data. Develop ‘proof of concept' models for advanced supply chain and operations tools to optimize cost and performance. Support implementation of ‘proof of concept' models into enterprise operations, through testing, validation, planning, and cross functional collaboration with stakeholders. Support management decision-making with data-driven analytics. Who You Are: You break down objectives into appropriate initiatives and actions. You persist in accomplishing objectives despite obstacles and setbacks. You step up to conflicts, seeing them as opportunities. You delegate and distribute assignments and decisions appropriately. You create milestones to rally support behind the program. For This Role, You Will Need: Bachelor's degree and 3 + years in data science, statistics, or related field or PhD Legal Authorization to work in the United States - sponsorship will not be provided for this role Preferred Qualifications That Set You Apart: Advanced Degree in related field preferred Experience in supply chain, operations or related disciplines Experience with Power BI, Python, Oracle, machine learning models, ML model training algorithms, agentic AI, and similar Our Culture & Commitment to You: At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing flexible, competitive benefits plans to meet you and your family's physical, mental, financial, and social needs. We provide a variety of medical insurance plans, with dental and vision coverage, Employee Assistance Program, 401(k), tuition reimbursement, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. #LI-AN1

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

IMT Insurance is now accepting applications for our Data Services Internship position within our Data Department for the Summer 2026 Internship Program. You will assist in projects that could involve one or more of the following: using basic SQL to do data analysis, perform 'routine' Tableau-related tasks and simple data loads or stored procedure development. Ideal applicants will be passionate, self-motivated, detail-oriented and have an interest in developing their skills through hands-on experience. If this opportunity is something that interests you, apply online today to learn more! DESIRED QUALIFICATIONS Must be working towards a college degree. Sophomore standing or above is preferred. Analytical skills and research capabilities is a plus. Coursework related to Data Science, Data Analytics, Information Systems, Computer Science or related areas of study. Experience with a programming or scripting language. Understanding of SQL, querying tools, databases, and data warehouses (Cloud database technology experience preferred.) Strong understanding of Excel. Ability to pay close attention to details. Ability to analyze and problem solve. Ability to listen and communicate internally/externally to the customer, both verbally and in writing. WHAT DEFINES US Our vision is to provide peace of mind in the moments that matter. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant based on race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. Our agents and customers come from all walks of life and so do we. Our goal is to hire great people from a wide variety of backgrounds, because it makes our team stronger. If you share our values and our passion for creating a Worry Free life for others, we want to talk to you!

JOB TITLE: Senior Actuary - ALM/Risk Management EMPLOYER: Sentinel Security Life Insurance DEPARTMENT: Finance - Actuarial REPORTS TO: Chief Actuary ABOUT THE COMPANY Since 1948, Sentinel Security Life Insurance Company (Sentinel) has been dedicated to helping families navigate their life insurance and retirement needs with confidence. Founded by a group of Utah funeral directors who sought to provide families with life insurance and financial security for final expenses, Sentinel has grown into a trusted provider of life insurance and annuity solutions designed to support long-term financial goals. We continue to innovate, developing annuity and life insurance products and enhancements that set new industry standards. Our strong partnerships with agents and their clients drive our success, ensuring that we deliver products that align with our clients' goals. With over 75 years of service, we remain committed to innovation and excellence. Looking ahead, we are excited to build on our legacy, create new opportunities, strengthen relationships, and shape the future of life insurance and annuity retirement solutions for generations to come. ABOUT THE ROLE Sentinel has an immediate opening for a self-motivated, resourceful, and well-organized candidate to join the team as a Senior Actuary with an initial focus on ALM, Asset Modeling, and Risk Management of annuities and life insurance. This opening will have direct exposure to each of the group's insurance operating companies as well as close interaction with the company's management team. The individual will have the opportunity to participate in all aspects of the company's actuarial functions and will work closely with leadership from the finance and insurance teams. This role offers scope for tremendous growth as A-CAP continues to grow and expand its business. This is a rare opportunity for an actuary to contribute to both new business and in-force functions within a high-growth insurance organization. WHAT YOU WILL DO: ALM, Hedging effectiveness studies Asset Modeling, Cash Flow Testing Risk management, risk reporting, risk policies, including ORSA & scenario analysis Experience studies, assumption setting Monitoring and analysis of asset performance Model enhancements using GGY AXIS Profitability metrics, analyses, and reporting Support subsidiary insurance companies' core actuarial functions as needed (valuation, cash flow testing, pro-forma/business planning, risk management, etc.) with opportunities to rotate through various actuarial functions on a short-term basis. Other Actuarial projects as needed. Opportunity to work on high-profile projects with senior decision-makers that directly drive company growth; the role will have direct exposure to Senior Management including the Head of Life and Annuities, Chief Investment Officer, the Chief Actuary and the Chief Financial Officer. Work closely with key stakeholders. WHAT YOU WILL NEED: Bachelor's degree in finance, accounting, economics, actuarial science, or related field with 5+ years of actuarial experience. ASA/FSA designation. Expert proficiency with MS Office Suite and GGY AXIS. Tech-savvy is a plus. Experience with annuity products and relevant actuarial work (ALM, valuation, risk management, etc.). Strong organizational skills and ability to communicate complex concepts in a professional and concise manner, both verbally and written. Comfort with a steep learning curve and motivation to work in an opportunity-rich, dynamic environment. Experience with asset modeling, cash flow testing & reinsurance, particularly for fixed annuity products, preferred. Experience with pre-need and/or final expense life insurance products, preferred. US Statutory and/or GAAP financial reporting experience, preferred. BENEFITS: A-CAP works hard to create a positive and supportive environment. That's why we offer great benefits to safeguard the health and well-being of our employees. Our comprehensive benefits package includes: Competitive compensation programs Employer-sponsored medical, dental, and vision insurance Paid Life & AD&D Insurance (for employees and families) Paid Disability Insurance (STD + LTD) Paid Parental Leave Paid Vacation and Sick Leave Paid Holidays Voluntary Supplemental Insurance Safe Harbor 401(k) plan with employer match And other benefits and perks! POSITION TYPE AND EXPECTED HOURS OF WORK This is a full-time position. Days and hours of work are Monday through Friday, 9:00 a.m. to 6:00 p.m., 40 hours weekly, or as otherwise arranged with the manager of the department. US work authorization is required. Who We Are: ******************** EEO Statement A-CAP is an Equal Opportunity Employer and does not discriminate in recruiting, hiring, promotion or any other personnel action based on the basis of race, ethnicity, national origin, color, sex, gender, gender identity or expression, sexual orientation, religion, age, disability, veteran status, or any other basis covered by appropriate law. We comply with the laws and regulations set forth in the Know Your Rights poster. All employment is decided on the basis of qualifications, merit, and business need. To request an accommodation, contact *********** and we will make every effort to respond to your request within 48 business hours to work towards a positive solution. Disclaimer: The above is intended to describe the general content of and requirements for the performance of this job. It should not be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Powered by JazzHR gk BIV69ZUc

MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation. MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation. MidAmerican Energy Company has an exciting Summer 2026 Internship opportunities available supporting our Electric Distribution team. Take the next step in your career and apply now! Skills for Success * Self-starter * Effective oral and written communication skills. * Effective analytical and problem-solving skills. * Effective interpersonal skills and customer relationship skills. * Ability to prioritize and handle multiple tasks and projects concurrently. * Experience using Python to develop machine learning or statistical models. * Experience using SQL to work with database tables and ETL processes. * Experience using Power BI to create data visualizations. * Taken coursework in data analytics, machine learning, statistics, or computational mathematics preferred. Qualifications * Must be a college student, sophomore or higher standing, currently enrolled in a bachelor's degree or higher program in data analytics, computer science, management information systems, mathematics, or related field of study. * Must be available May 2026 - August 2026. * Working knowledge of Microsoft Office and the Windows operating environment. Primary Job Duties and Responsibilities * Identify partner teams' key issues, prototype solutions, and help solve business problems using data science and cloud technology. * Collaborate with internal business groups and domain experts to define problems, gather requirements, and design advanced analytics solutions. * Collaborate with team members to design and develop advanced analytics projects. * Perform data discovery, exploratory analysis, and data profiling activities using Python, SQL, and Power BI. * Perform data wrangling in Python and SQL supporting advanced analytics projects. * Develop advanced analytics models (statistical, mathematical, or computational models) using Python to solve industry problems. * Develop data visualizations and dashboards using Power BI to present advanced analytical model results as well as descriptive and exploratory analytics. * Effectively communicate and present advanced analytics model results and project outcomes. * Perform any additional responsibilities as requested or assigned. Primary deliverables * Connect EOMS system model to BHE data lake * Develop vulnerability analytics model * Connect vulnerability dashboard to the model and expand to present additional analytics * Establish a process for yearly update of the model to capture physical infrastructure changes in the field * Investigate reliability trends in outage data, and build additional dashboards that can be used for reliability reporting Performance Expectations * Perform responsibilities as directed within determined time frames and with a high degree of accuracy. * Establish and maintain effective work relationships within the department and the company. * Maintain the professional competence, knowledge and skills necessary to effectively complete responsibilities; enhance job knowledge and abilities by taking personal responsibility for professional development and training. * Maintain sensitive and confidential company information. * Attend work on a regular basis and support the company's employee policies and procedures, including workplace safety rules. * Ensure all compliance aspects of position are known and followed; understand and comply with all policies, codes and regulations applicable to position and company.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. U.S. citizenship is required for this position due to government contract requirements. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage #LI-Remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist, Analytics (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

Bettendorf, Illinois, US Chicago, Illinois, US North Chicago, Illinois, US Rock Island, Illinois, US Moline, Illinois, US Davenport, Iowa, US Business Systems/Analysis 18303 Full-Time $85032.41 - $141720.69 Description & Qualifications** **Position Description & Qualifications** As a Data Scientist, Senior you will play a key role in supporting the Army Sustainment Command (ASC). In this role, you will: - Perform advanced analysis and analytics to produce algorithms and/or business process recommendations. - Develop and use data, algorithms, and analyses to identify and apply mechanisms to both overcome impediments to materiel readiness and exploit opportunities to improve readiness through feasible, cost-effective software and business process improvements, changes, and interventions. - Forecast and address complex analytical challenges and identify the challenges and opportunities within systems, develop comprehensive solutions, and incorporate these capabilities solutions into software and workflows. - Develop analytics and process solution sets, the criteria for recommended algorithms and processes shall include preference for efficient methods that use as simple of a process as possible given the current state-of-the-art practices. The analytics and process solution sets shall provide appropriate, economic savings-driven answers. - Regularly identify and communicate courses of actions required for program and project success, including appropriate reporting processes and applicable metrics to monitor and assess outcomes. - Proactively identify mechanisms to improve mission performance. - Use appropriate quantitative analytics techniques to include time series analysis and forecasting, advanced multivariate regression (including Probit and Logit Models), systems dynamics modelling, Bayesian inference procedures, minimax procedures (statistical), subjective probability utilization, expected utility analysis, operational risk analysis, and uncertainty evaluation. - Use appropriate qualitative analytics techniques to include multi-criteria decision analysis, qualitative comparative analysis, causal mapping, formal game theory, minimax procedures (game theory), decision architecture, systems architecture analysis, organizational analysis and structural reform, supply chain analysis,and multinational best practices (military and industry) evaluation. - Use logistics and agent-based modeling and simulation. - Conduct business process analysis and optimization across the Doctrine, Organization, Training, Materiel, Leadership, Education, Personnel, Facilities, Policy (DOTMLPF-P) spectrum and beyond. - Produce formal use cases, software program change requests, and other required documentation for technology insertion into related defense logistics support software. - Interface and liaise with software program offices and contractors. - Develop requirements for defense analytics software. - Conduct stakeholder analysis and create products for stakeholder communications and messaging. **POSITION QUALIFICATIONS** To be successful in this role, you will have: + U.S. Citizenship + An Active Secret Clearance or an interim Secret Clearance. + Master's Degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline. + Minimum 4 years of experience working directly on a data science team. + Superior communication skills, both oral and written. + Experience working with tools, including objectoriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn). + Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact. + Working knowledge of databases and SQL. + Preferred qualifications include linking analytic and data visualization products to database connections. + Familiarity with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. + Familiarity with unstructured text and natural language processing, R, Python, SAS, MATLAB, Anaconda, IBM Blue, and Oracle Big Data to analyze large data sets and develop automated analytics. + Familiarity with machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets. + Familiarity with supervising algorithm implementation in on premise and cloud-based computing environments. + Familiarity with developing software to generate reports and visualizations that summarize data sets and provide data-driven insights. + Familiarity with developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions. **Company Overview** Serco Inc. (Serco) is the Americas division of Serco Group, plc. In North America, Serco's 9,000+ employees strive to make an impact every day across 100+ sites in the areas of Defense, Citizen Services, and Transportation. We help our clients deliver vital services more efficiently while increasing the satisfaction of their end customers. Serco serves every branch of the U.S. military, numerous U.S. Federal civilian agencies, the Intelligence Community, the Canadian government, state, provincial and local governments, and commercial clients. While your place may look a little different depending on your role, we know you will find yours here. Wherever you work and whatever you do, we invite you to discover your place in our world. Serco is a place you can count on and where you can make an impact because every contribution matters. To review Serco benefits please visit: ************************************************ . If you require an accommodation with the application process please email: ******************** or call the HR Service Desk at ************, option 1. Please note, due to EEOC/OFCCP compliance, Serco is unable to accept resumes by email. Candidates may be asked to present proof of identify during the selection process. If requested, this will require presentation of a government-issued I.D. (with photo) with name and address that match the information entered on the application. Serco will not take possession of or retain/store the information provided as proof of identity. For more information on how Serco uses your information, please see our Applicant Privacy Policy and Notice. Serco does not accept unsolicited resumes through or from search firms or staffing agencies without being a contracted approved vendor. All unsolicited resumes will be considered the property of Serco and will not be obligated to pay a placement or contract fee. If you are interested in becoming an approved vendor at Serco, please email ********************* . Serco is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. **Pay Transparency** Our Total Rewards package includes competitive pay, performance-based incentives, and benefits that promote well-being and work-life balance-so you can thrive both professionally and personally. Eligible employees also gain access to a wide range of benefits from comprehensive health coverage and health savings accounts to retirement plans, life and disability insurance, and time-off programs that support work-life balance. Program availability may vary based on factors such as contract type, location, hire date, and applicable collective bargaining agreements. Salary range: The range for this position can be found at the top of this posting. This range is provided as a general guideline and represents a good faith estimate across all experience levels. Actual base salary will be determined by a variety of factors, including but not limited to, the scope of the role, relevant experience, job-related knowledge, education and training, key skills, and geographic market considerations. For roles available in multiple states, the range may vary to reflect differences in local labor markets. In addition to base salary, eligible positions may include other forms of compensation such as annual bonuses or long-term incentive opportunities. Benefits - Comprehensible benefits for full-time employees (part-time employees receive a limited package tailored to their role): + Medical, dental, and vision insurance + Robust vacation and sick leave benefits, and flexible work arrangements where permitted by role or contract + 401(k) plan that includes employer matching funds + Tuition reimbursement program + Life insurance and disability coverage + Optional coverages that can be purchased, including pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection + Birth, adoption, parental leave benefits + Employee Assistance Plan To review all Serco benefits please visit: ******************************************* . Serco complies with all applicable state and local leave laws, including providing time off under the Colorado Healthy Families and Workplaces Act for eligible Colorado residents, in alignment with our policies and benefit plans. The application window for this position is for no more than 60 days. We encourage candidates to apply promptly after the posting date, as the position may close earlier if filled or if the application volume exceeds expectations. Please submit applications exclusively through Serco's external (or internal) career site. If an applicant has any concerns with job posting compliance, please send an email to: ******************** .

At Emerson, we pride ourselves on our industry-leading control valve portfolio, featuring top brands like Fisher , Sempell , and Crosby . These brands power the world through a wide range of applications across various industries, from refining and hydrogen to nuclear power. By joining our Supply Chain Digitalization team, you'll become part of an almost 150-year legacy that began with William Fisher in 1880 and help us take the next steps into the future by harnessing statistical analytics and emerging technologies to deliver products to customers faster and with greater certainty. We're looking for someone who is eager to take these next steps with us and make a significant impact on our operations. If this sounds like the perfect opportunity for you, we encourage you to apply and become a vital part of our team. Together, we can continue to drive innovation and excellence in the industry. Relocation assistance available. We look forward to hearing from you! In This Role, Your Responsibilities Will Be: Use statistics, programming, modeling, and related analytics to extract actionable insights from complex operations and supply chain data. Develop ‘proof of concept' models for advanced supply chain and operations tools to optimize cost and performance. Support implementation of ‘proof of concept' models into enterprise operations, through testing, validation, planning, and cross functional collaboration with stakeholders. Support management decision-making with data-driven analytics. Who You Are: You break down objectives into appropriate initiatives and actions. You persist in accomplishing objectives despite obstacles and setbacks. You step up to conflicts, seeing them as opportunities. You delegate and distribute assignments and decisions appropriately. You create milestones to rally support behind the program. For This Role, You Will Need: Bachelor's degree and 3 + years in data science, statistics, or related field or PhD Legal Authorization to work in the United States - sponsorship will not be provided for this role Preferred Qualifications That Set You Apart: Advanced Degree in related field preferred Experience in supply chain, operations or related disciplines Experience with Power BI, Python, Oracle, machine learning models, ML model training algorithms, agentic AI, and similar Our Culture & Commitment to You: At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing flexible, competitive benefits plans to meet you and your family's physical, mental, financial, and social needs. We provide a variety of medical insurance plans, with dental and vision coverage, Employee Assistance Program, 401(k), tuition reimbursement, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. #LI-AN1

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

JOB TITLE: Senior Actuary - ALM/Risk Management EMPLOYER: Sentinel Security Life Insurance DEPARTMENT: Finance - Actuarial REPORTS TO: Chief Actuary ABOUT THE COMPANY Since 1948, families have counted on Sentinel Security Life Insurance Company during their time of need. The Company was originally established to provide families a way of funding funeral expenses and burial costs. Through our final expense life insurance product, we have been honored to provide peace of mind to families for well over half a century. Today, Sentinel offers a strong senior market portfolio including Life and Annuity products. We continue to develop new products while improving existing products and services to better protect our customers. Sentinel has a long history of financial strength and stability that has afforded us the opportunity to invest wisely in the growth of our company. Our strength lies not only in the quality of our insurance products, but also the level of service we provide to our policyholders, agents, and shareholders. ABOUT THE ROLE Sentinel has an immediate opening for a self-motivated, resourceful, and well-organized candidate to join the team as a Senior Actuary with an initial focus on ALM, Asset Modeling, and Risk Management of annuities and life insurance. This opening will have direct exposure to each of the group's insurance operating companies as well as close interaction with the company's management team. The individual will have the opportunity to participate in all aspects of the company's actuarial functions and will work closely with leadership from the finance and insurance teams. This role offers scope for tremendous growth as A-CAP continues to grow and expand its business. This is a rare opportunity for an actuary to contribute to both new business and in-force functions within a high-growth insurance organization. WHAT YOU WILL DO: ALM, Hedging effectiveness studies Asset Modeling, Cash Flow Testing Risk management, risk reporting, risk policies, including ORSA & scenario analysis Experience studies, assumption setting Monitoring and analysis of asset performance Model enhancements using GGY AXIS Profitability metrics, analyses, and reporting Support subsidiary insurance companies' core actuarial functions as needed (valuation, cash flow testing, pro-forma/business planning, risk management, etc.) with opportunities to rotate through various actuarial functions on a short-term basis. Other Actuarial projects as needed. Opportunity to work on high-profile projects with senior decision-makers that directly drive company growth; the role will have direct exposure to Senior Management including the Head of Life and Annuities, Chief Investment Officer, the Chief Actuary and the Chief Financial Officer. Work closely with key stakeholders. WHAT YOU WILL NEED: Bachelor's degree in finance, accounting, economics, actuarial science, or related field with 5+ years of actuarial experience. ASA/FSA designation. Expert proficiency with MS Office Suite and GGY AXIS. Tech-savvy is a plus. Experience with annuity products and relevant actuarial work (ALM, valuation, risk management, etc.). Strong organizational skills and ability to communicate complex concepts in a professional and concise manner, both verbally and written. Comfort with a steep learning curve and motivation to work in an opportunity-rich, dynamic environment. Experience with asset modeling, cash flow testing & reinsurance, particularly for fixed annuity products, preferred. Experience with pre-need and/or final expense life insurance products, preferred. US Statutory and/or GAAP financial reporting experience, preferred. BENEFITS: A-CAP works hard to create a positive and supportive environment. That's why we offer great benefits to safeguard the health and well-being of our employees. Our comprehensive benefits package includes: Competitive compensation programs Employer-sponsored medical, dental, and vision insurance Paid Life & AD&D Insurance (for employees and families) Paid Disability Insurance (STD + LTD) Paid Parental Leave Paid Vacation and Sick Leave Paid Holidays Voluntary Supplemental Insurance Safe Harbor 401(k) plan with employer match And other benefits and perks! POSITION TYPE AND EXPECTED HOURS OF WORK This is a full-time position. Days and hours of work are Monday through Friday, 9:00 a.m. to 6:00 p.m., 40 hours weekly, or as otherwise arranged with the manager of the department. US work authorization is required. Who We Are: ******************** EEO Statement A-CAP is an Equal Opportunity Employer and does not discriminate in recruiting, hiring, promotion or any other personnel action based on the basis of race, ethnicity, national origin, color, sex, gender, gender identity or expression, sexual orientation, religion, age, disability, veteran status, or any other basis covered by appropriate law. We comply with the laws and regulations set forth in the Know Your Rights poster. All employment is decided on the basis of qualifications, merit, and business need. To request an accommodation, contact *********** and we will make every effort to respond to your request within 48 business hours to work towards a positive solution. Disclaimer: The above is intended to describe the general content of and requirements for the performance of this job. It should not be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. U.S. citizenship is required for this position due to government contract requirements. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage #LI-Remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

At Emerson, we pride ourselves on our industry-leading control valve portfolio, featuring top brands like Fisher, Sempell, and Crosby. These brands power the world through a wide range of applications across various industries, from refining and hydrogen to nuclear power. By joining our Supply Chain Digitalization team, you'll become part of an almost 150-year legacy that began with William Fisher in 1880 and help us take the next steps into the future by harnessing statistical analytics and emerging technologies to deliver products to customers faster and with greater certainty. We're looking for someone who is eager to take these next steps with us and make a significant impact on our operations. If this sounds like the perfect opportunity for you, we encourage you to apply and become a vital part of our team. Together, we can continue to drive innovation and excellence in the industry. Relocation assistance available. We look forward to hearing from you! In This Role, Your Responsibilities Will Be: * Use statistics, programming, modeling, and related analytics to extract actionable insights from complex operations and supply chain data. * Develop 'proof of concept' models for advanced supply chain and operations tools to optimize cost and performance. * Support implementation of 'proof of concept' models into enterprise operations, through testing, validation, planning, and cross functional collaboration with stakeholders. * Support management decision-making with data-driven analytics. Who You Are: You break down objectives into appropriate initiatives and actions. You persist in accomplishing objectives despite obstacles and setbacks. You step up to conflicts, seeing them as opportunities. You delegate and distribute assignments and decisions appropriately. You create milestones to rally support behind the program. For This Role, You Will Need: * Bachelor's degree and 3 + years in data science, statistics, or related field or PhD * Legal Authorization to work in the United States - sponsorship will not be provided for this role Preferred Qualifications That Set You Apart: * Advanced Degree in related field preferred * Experience in supply chain, operations or related disciplines * Experience with Power BI, Python, Oracle, machine learning models, ML model training algorithms, agentic AI, and similar Our Culture & Commitment to You: At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing flexible, competitive benefits plans to meet you and your family's physical, mental, financial, and social needs. We provide a variety of medical insurance plans, with dental and vision coverage, Employee Assistance Program, 401(k), tuition reimbursement, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. #LI-AN1