Data scientist jobs in Des Moines, IA

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD , WD_BLACK, and SanDisk Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

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. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#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: $136,000-$170,000 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 (**************************************** .

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. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/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.

CCG Talent Management is not only a business solutions company but a company that believes success starts with the individual. CCG Business Solutions has been consulting and providing talent placement services since 2007. Our team understands the principles of connecting purpose to business. We are currently recruiting for a Data Scientist (Python, Power BI, Databricks, SQL, data modeling, R, Javascript, MondoDB). Job Description As a Data Scientist, you will join a client team leveraging petabyte-scale datasets for advanced analytics and model building to enable intelligent, automated equipment and improved decisions by farmers. The client team partners with product managers and data engineers to design, scale, and deliver full-stack data science solutions. You will join a passionate team making a difference by applying innovative technology to solve some of the world's biggest problems. Responsibilities Communicate with impact your findings and methodologies to stakeholders with a variety of backgrounds. Work with high-resolution machine and agronomic data in the development and testing of predictive models. Develop and deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data Define, quantify, and analyze Key Performance Indicators that define successful customer outcomes. Work closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics. Qualifications Demonstrated competency in developing production-ready models in an Object-Oriented program language such as Python. Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, BigQuery, MongoDB, etc. Experience with Visualization tools such as Tableau, PowerBI, DataStudio, etc. Experience with Data Modeling techniques such as Normalization, data quality, and coverage assessment, attribute analysis, performance management, etc. Experience building machine learning models such as Regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc. Excellent communication skills. Able to effectively lead meetings, document work for reproduction, write persuasively, communicate proofs-of-concept, and effectively take notes. Additional Qualifications Additional experience with other languages such as R, JavaScript, Scala, etc. Examples of professional work such as publications, patents, a portfolio of relevant project work, etc. Familiarity with Distributed Datasets Experienced with a variety of data structures such as time series, geo-tagged, text, structured, and unstructured. Experience with simulations such as Monte Carlo simulation, Gibbs sampling, etc. Experience with model validation, measuring model bias, measuring model drift, etc. Experience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc. Ability to communicate complex analytical insights in a manner that is understandable by non - technical audiences. Additional Information Salary: $55.00 - $58.00 + Bonus + Relocation All your information will be kept confidential according to EEO guidelines.

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. 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 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.

**This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], you are expected to report to that location three times a week, at minimum** . **The Role** The Senior Data Scientist is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in Media Mix Modeling (MMM), with hands-on experience developing custom econometrics and statistical models that quantify media impacts and optimize market investment. The Data Scientist has expertise in the economics of media channels (e.g., Linear/Addressable TV, Online Display, Paid Search, Social), measurement of ROAS lift, coordination of media tactics (sequencing/ frequency caps), and insourcing of off-the-shelf MMM solutions. This person will work closely with GM brand stakeholders to ensure business acceptance of proposed methods, objective performance evaluation, and effective media activation that drives sales. This person will be responsible for developing Media Mix Models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Fully qualified individual contributor who has knowledge and understanding of all aspects of a function and exercises independent discretion and judgment on significant matters based on professional knowledge. Level most professionals can expect to achieve in their career. EXPERTISE + Recognized as a fully qualified, experienced professional. Has complete knowledge and full understanding of own area and broad knowledge of related areas. + Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation. Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies. + Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems. + Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience. COMPLEXITY + Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution. + Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns. + Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences. SCOPE AND IMPACT + Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points. + Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches. + Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues. + Has significant operational impact across their function. **What You'll Do** + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement. + Deep knowledge of marketing media modeling techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms. + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive. + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff. **Your Skills & Abilities (Required Qualifications)** + Minimum five years of experience developing, deploying, and monitoring performance of media mix or related models + Proficient writing Python/R (modeling) and SQL/Spark (data), working with PYMC, StatsModels, Spark/ML, sklearn, numpy and related packages + Desired expertise media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, item response theory, latent class regression + Prior experience with paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Advanced degree (M.A./Ph.D. preferred) in Marketing Data Science, Econometrics, Operations Research, Psychometrics, Finance, (Bio) Statistics, or another quantitative field This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: + The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. 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**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, 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. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **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:** 12/02/2025 *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. \#LI-Remote \#LI-AP4 _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. Powered by JazzHR gk BIV69ZUc

MidAmerican Energy Company is seeking a student pursuing a bachelor's degree or higher in data science, computer science, economics, statistics, business analytics, or related field of study, graduating later than August 2026. The position is temporary, nonexempt, and part-time/hourly. Company and Internship Program Overview MidAmerican Energy Company one of the largest renewable energy producers in the U.S is headquartered in Des Moines, Iowa, safely meeting the energy needs of more than 1.6 million customers in Iowa, Illinois, Nebraska, and South Dakota. A subsidiary of Berkshire Hathaway Energy, we have more than 3,400 dedicated employees serving our customers every day across our service territory. Interns will be a part of MidAmerican's strong internship program, tour state-of-the-art facilities, network with leadership, and gain a broader understanding of MidAmerican Energy Company. Skills for Success Effective oral and written communication skills. Effective analytical and problem-solving skills. Effective interpersonal skills and customer relationship skills. Taken coursework in data analytics, machine learning, statistics, or computational mathematics preferred. Qualifications Must be a college student, junior or higher standing, currently enrolled in a bachelor's degree or higher program in data science, computer science, economics, statistics, business analytics, or related field of study. Must be available through the 2025 - 2026 academic school year. 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 and technology. Effectively communicate and present advanced analytics model results and project outcomes. Respond to and improve from feedback from internal business groups and team members. Strive for continuous improvement and personal growth. Use Microsoft Teams, Microsoft Office, and Azure DevOps for team collaboration, meetings, project organization, and planning. Perform any additional responsibilities as requested or assigned. 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.

MidAmerican Energy Company one of the largest renewable energy producers in the U.S is headquartered in Des Moines, Iowa, safely meeting the energy needs of more than 1.6 million customers in Iowa, Illinois, Nebraska, and South Dakota. A subsidiary of Berkshire Hathaway Energy, we have more than 3,400 dedicated employees serving our customers every day across our service territory. Interns will have the opportunity to participate in the annual three-day summer intern event in Des Moines, Iowa where they will have the opportunity to tour state-of-the-art facilities, network with leadership, and gain a broader understanding of MidAmerican Energy Company. Other panels, lunch and learns, and events will be happening throughout the summer to give our interns the best experience. Skills for Success 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. 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 or master's degree program in data analytics, data science, computer science, management information systems, mathematics, or related field of study. Must be available June 2026 - August 2026. Working knowledge of Microsoft Office and the Windows operating environment. Primary Job Duties and Responsibilities Identify partner teams' key problems, prototype solutions, and help solve business problems using data science and cloud technology. Collaborate with internal business groups and domain experts to develop problems, gather requirements, and design advanced analytics solutions. Collaborate with team members and other Data and Analytics interns 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 (machine learning, 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. Respond to and improve from feedback from internal business groups and team members. Strive for continuous improvement and personal growth. Use Microsoft Teams, Microsoft Office, and Azure DevOps for team collaboration, meetings, project organization, and planning. Perform any additional responsibilities as requested or assigned. 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 information regarding 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.

Looking for a career where you love what you do and who you do it with? You're in the right place. Healthcare here is different - we're locally owned and led by our physicians, and all decisions are always made right here in Central Iowa. By working at The Iowa Clinic, you'll get to make a difference while seeing a difference in our workplace. Because as one clinic dedicated to exceptional care, we're committed to exceeding expectations, showing compassion and collaborating to provide the kind of care most of us got into this business to deliver in the first place. Think you've got what it takes to join our TIC team? Keep reading… A day in the life… Wondering what a day in the life of a Data Engineer - Healthcare Analytics at The Iowa Clinic might look like? We are seeking a skilled and motivated Data Engineer to join our growing analytics team. In this role, you will design, build, and maintain scalable data pipelines and infrastructure that empower our organization to make data-driven decisions. You'll collaborate closely with data analysts, data scientists, and business stakeholders to ensure data is accessible, reliable, and optimized for performance. Key Responsibilities * Develop and maintain robust ETL/ELT pipelines using modern data engineering tools and frameworks. * Design and implement data models and architectures that support analytics and reporting needs. * Ensure data quality, integrity, and security across all systems. * Collaborate with cross-functional teams to understand data requirements and deliver solutions. * Monitor and optimize data workflows for performance and scalability. * Maintain documentation for data processes, systems, and architecture. NOTE: Candidates must have valid U.S. work authorization and will not require employer sponsorship now or in the future. We do not provide sponsorship. Qualifications * Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * 3+ years of experience in data engineering or a similar role. * Demonstrated knowledge and practical use of health information standards * Strong understanding of analytical methods, tools, statistics and data management * Proficiency in SQL and Python (or other scripting languages). * Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). * Familiarity with tools like Airflow, dbt, Kafka, or Spark is a plus. * Strong understanding of data modeling, data governance, and best practices in data architecture. Preferred Skills * Experience working in Agile environments. * Knowledge of CI/CD pipelines and DevOps practices. * Ability to communicate technical concepts to non-technical stakeholders. * Passion for building scalable and efficient data systems. Know someone else who might be a great fit for this role? Share it with them! What's in it for you * One of the best 401(k) programs in central Iowa, including employer match and profit sharing * Employee incentives to share in the Clinic's success * Generous PTO accruals * and paid holidays * Health, dental and vision insurance * Quarterly volunteer opportunities through a variety of local nonprofits * Training and development programs * Opportunities to have fun with your colleagues, including TIC night at the Iowa Cubs, employee appreciation tailgate party, Adventureland day, State Fair tickets, annual holiday party, drive-in movie night… we could go on and on * Monthly departmental celebrations, jeans days and clinic-wide competitions * Employee rewards and recognition program * Health and wellness program with up to $350/year in incentives * Employee feedback surveys * All employee meetings, team huddles and transparent communication

As a Data Center Quality Inspector I, you provide superb quality control services for our clients. The work includes performing essential inspections of electrical equipment and systems, such as switchgear and substations. Detailed knowledge of mechanical and instrumentation is critical to conduct inspections and interpret electrical drawings and specifications. Attentively, you ensure the equipment and technicians around you comply with company and site safety requirements. You prepare detailed daily reports about your findings, including time tracking and special inspection reports. Diligently, you approve and submit important documents such as Lockout/Tagout (LOTO) requests, team reports, and time tracking reports. You take pride in assuring that our clients receive safely installed and functional equipment every time. If you are an analytical and detail-oriented individual who communicates effectively and prioritizes safety, this could be the position for you! Travel may be required. Responsibilities Ability to read and interpret electrical drawings and specifications. Prepare written documentation such as daily narratives (work reports), special inspection reports, and daily time tracking. Perform inspections of switchgear, standby generators, protective relays, and other electrical distribution components. Submit LOTO requests, review and approve team reports, and time tracking. Ensure compliance with all company and site safety requirements. Benefits Competitive pay, depending on experience. Medical, dental, vision, 401(k) with company match, among other benefits. Holidays and paid vacation time. Extensive learning and development opportunities. Requirements Requirements High school diploma or equivalent. Higher education degree preferred. Minimum of two years of experience inspecting, testing, commissioning, or operating electrical distribution systems. Commercial or naval nuclear experience is strongly desired. OSHA 10-hour Construction Safety training. Commitment to excellence and high standards.

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 Business Transformation and Sustainment 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 * Develop analytics model for various applications * Connect dashboard to the model and expand to present additional analytics * Establish a process for yearly update of the model to capture changes to various applications * Investigate reliability trends in 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.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products. 2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. 3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. 4. Build models of user behaviors for analysis or to power production systems. 5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. 6. Design and implement dashboards and reports that track key business metrics and provide actionable insights. 7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. 8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta. 9. Telecommuting from anywhere in the U.S. allowed. **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following 11. Relational database (SQL) 12. Developing in scripting language (Python, R) 13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive) 14. Data Visualization (Tableau) **Public Compensation:** $165,787/year to $196,900/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.

**_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 (***************************************************************************************************************************

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.

MidAmerican Energy Company one of the largest renewable energy producers in the U.S is headquartered in Des Moines, Iowa, safely meeting the energy needs of more than 1.6 million customers in Iowa, Illinois, Nebraska, and South Dakota. A subsidiary of Berkshire Hathaway Energy, we have more than 3,400 dedicated employees serving our customers every day across our service territory. Interns will have the opportunity to participate in the annual three-day summer intern event in Des Moines, Iowa where they will have the opportunity to tour state-of-the-art facilities, network with leadership, and gain a broader understanding of MidAmerican Energy Company. Other panels, lunch and learns, and events will be happening throughout the summer to give our interns the best experience. Skills for Success 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. 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 or master's degree program in data analytics, data science, computer science, management information systems, mathematics, or related field of study. Must be available June 2026 - August 2026. Working knowledge of Microsoft Office and the Windows operating environment. Primary Job Duties and Responsibilities Identify partner teams' key problems, prototype solutions, and help solve business problems using data science and cloud technology. Collaborate with internal business groups and domain experts to develop problems, gather requirements, and design advanced analytics solutions. Collaborate with team members and other Data and Analytics interns 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 (machine learning, 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. Respond to and improve from feedback from internal business groups and team members. Strive for continuous improvement and personal growth. Use Microsoft Teams, Microsoft Office, and Azure DevOps for team collaboration, meetings, project organization, and planning. Perform any additional responsibilities as requested or assigned. 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 information regarding 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.

MidAmerican Energy Company is seeking a student pursuing a bachelor's degree or higher in data science, computer science, economics, statistics, business analytics, or related field of study, graduating later than August 2026. The position is temporary, nonexempt, and part-time/hourly. Company and Internship Program Overview MidAmerican Energy Company one of the largest renewable energy producers in the U.S is headquartered in Des Moines, Iowa, safely meeting the energy needs of more than 1.6 million customers in Iowa, Illinois, Nebraska, and South Dakota. A subsidiary of Berkshire Hathaway Energy, we have more than 3,400 dedicated employees serving our customers every day across our service territory. Interns will be a part of MidAmerican's strong internship program, tour state-of-the-art facilities, network with leadership, and gain a broader understanding of MidAmerican Energy Company. Skills for Success Effective oral and written communication skills. Effective analytical and problem-solving skills. Effective interpersonal skills and customer relationship skills. Taken coursework in data analytics, machine learning, statistics, or computational mathematics preferred. Qualifications Must be a college student, junior or higher standing, currently enrolled in a bachelor's degree or higher program in data science, computer science, economics, statistics, business analytics, or related field of study. Must be available through the 2025 - 2026 academic school year. 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 and technology. Effectively communicate and present advanced analytics model results and project outcomes. Respond to and improve from feedback from internal business groups and team members. Strive for continuous improvement and personal growth. Use Microsoft Teams, Microsoft Office, and Azure DevOps for team collaboration, meetings, project organization, and planning. Perform any additional responsibilities as requested or assigned. 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.