Data Science Internship Jobs in Norwalk, IA

Do you want to get a foot in the door and perhaps even get the chance to interview early for one of the best technology jobs in the world? If so, you may be an ideal candidate for our internship program. Gain invaluable experience in what it is like to work at a leading global hardware and software systems innovator - Oracle. Your colleagues are industry experts and knowledgeable veterans. Your contributions will enhance real Oracle products and services. By the end of your internship you will be connected to a powerful network of professionals, managers, and executives. Completed second year of undergraduate degree in computer science, computer engineering, electrical engineering, or related area of study. Strong academic achievement. Strong interest in technical area of study. **The Program:** Our future success depends on hiring extraordinary, early in career talent who are looking to power next-generation services and solutions. We are hiring bachelor's and master's degree students with a diverse set of skills and experiences to work in and across multiple teams within Oracle. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. Create the future with us! **The Company:** Oracle is the world's leading provider of business software! With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only redefining the world of business-it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com. Career Level - IC0 **Responsibilities** **What You'll Do:** Data Scientist Intern responsibilities may include, but are not limited to: + Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling and visualization. + Develop models to build solutions to tackle real-world business problems + Interact with product and service teams to identify questions and issues for data analysis and experiments + Communicate your analysis findings to product, service, and business managers We are seeking to grow the data science capabilities with forward-thinking and diverse interns with exceptional technical ability. This is an exciting role that will stretch your knowledge and curiosity, while at the same time is a phenomenal opportunity to learn new skills and work within an unusually talented, global community at Oracle. **What You'll Bring (Objective Minimum Qualifications):** To be considered for a Data Scientist Intern position, you must possess the Objective Minimum Qualifications (OMQs) below. **Please ensure that your application clearly indicates that you meet these OMQs** , either on your resume and/or by uploading additional documents such as a transcript. + Will be enrolled in a Bachelor's, Master's or PhD degree program in an applied business or quantitative field such as Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, Business Analytics, or equivalent field during the 2024-2025 school year. + Have completed **at least your junior year** toward your undergraduate degree, or higher, by summer 2024. + Have academic coursework, projects, internships, and/or research experience with tools needed to execute the more technical aspects of statistical data analysis, including proficiency (e.g., can complete projects without any assistance) in **at least one** of the following programming languages: + Python, Java, R, SQL, PL/SQL. + Have experience through coursework, projects, internships, and/or research with **at least one** of the following libraries: + Numpy, Scipy, Matplotlib, SciKit, TensorFlow, PyTorch, Spark + Have completed coursework, projects, internships, and/or research in **two or more** of the following: + Algorithms + Artificial Intelligence + Big Data Query + Data Mining + Data Modeling + Machine Learning + Statistical Inference/Analysis + Attend a university in the US. + Authorized to work in the US in 2025. + No visa sponsorship available + Must be enrolled in a university prior to and following internship completion Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range: from $18.99 to $53.00 per hour; from $39,500 to $110,240 per annum. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds. When everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling ***************, option one. **Disclaimer:** Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. *** Which includes being a United States Affirmative Action Employer**

The Physical and Computational Sciences Directorate (PCSD) researchers lead major R&D efforts in experimental and theoretical interfacial chemistry, chemical analysis, high energy physics, interfacial catalysis, multifunctional materials, and integrated high-performance and data-intensive computing. PCSD is PNNL's primary steward for research supported by the Department of Energy's Offices of Basic Energy Sciences, Advanced Scientific Computing Research, and Nuclear Physics, all within the Department of Energy's Office of Science. Additionally, Directorate staff perform research and development for private industry and other government agencies, such as the Department of Defense and NASA. The Directorate's researchers are members of interdisciplinary teams tackling challenges of national importance that cut across all missions of the Department of Energy. **Responsibilities** The Future Computing Technologies group at Pacific Northwest National Laboratory (PNNL) seeks PhD interns for the summer of 2025 with a strong background in data privacy and cybersecurity with a particular focus on privacy techniques and a strong background in statistical methods. Knowledge in disaggregated memory and distributed computing for scientific workflows is preferred, but not strictly required. The duration of the internship is 3 months, and the internship can be either remote or onsite, based on the availability of the candidate. The candidate will be expected to use and familiarize themselves with world-leading technologies which are available at PNNL. The expected outcomes of the internship include high-quality research work targeting peer-reviewed publications in leading relevant venues. Responsibilities and Accountabilities + Design and implement novel privacy techniques for large data storage and shared memory systems + Participate in the development and publication of peer-reviewed work covering the proposed techniques + Develop an initial dataset for testing the proposed techniques **Qualifications** Minimum Qualifications: + Candidates must be currently enrolled/matriculated in a PhD program at an accredited college. + Minimum GPA of 3.0 is required. Preferred Qualifications: + Background in research with experience in publication + Experience with disaggregated memories and concurrent programming **Hazardous Working Conditions/Environment** Not applicable **Additional Information** Not applicable **Testing Designated Position** This is not a Testing Designated Position (TDP) **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. **Security, Credentialing, and Eligibility Requirements** In accordance with Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, new employees are required to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO)risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** Regular Hourly: Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. Temporary Hourly: Employees are offered an employee assistance program and business travel insurance. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $23.53/Hr. **Maximum Salary** USD $35.30/Hr.

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. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 8. 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: 9. 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.

Delivers insights on potential areas of optimization, improvement, and growth. Partners with cross-functional teams to create coordinate data architecture strategies. Responsible for knowledge sharing of Data Analytics best practices to the broader company. Collaborates with business units and management to identify Key Performance Indicators (KPIs) for data capture and reporting across the business. + Work with the SI and technical and functional leads to provide advice and support to the JPMO on the development of data management plans for data migration. + Assist the JPMO with the establishment of a Data Management IPT and facilitate subsequent Data Management IPT activities. + Work with the SI and provide advice and support to the JPMO on the development of the high-level strategy for Data Management and Conversion that provides a roadmap for performing the migration of data from legacy systems to the new modernized system. + Assist in the establishment of Data Security and Management Policy, Processes, and Procedures. + Ensure compliance with all Data Security mandates (DHS and JPMO). + Attend data conversion meetings, review products, ensure all data anomalies are addressed before migration to the new system and that reconciliation between systems, ledgers, etc. are completed. + Attend all data management and conversion meetings. Provide meeting minutes, notes, briefs, etc. as required for stakeholders and management meetings. + Support the JPMO Data Management lead in the oversight and review of all data management plans and artifacts. + Review plans developed by the SI and support the implementation of data management, data cleansing, data dictionaries, data migration, data conversion, data archiving, backup and recovery plans, and products. + Review Component legacy system data and ensure an accurate understanding of the data elements, structures, and quality is recorded. + Setup staging environments for data cleansing and conversion activities. + Assist Components in preparing for migration of legacy data into a new integrated financial, procurement, and asset management system such as executing mock data conversions and cutover activities. + Support Departmental and Component level Business Intelligence (BI) and Data Warehouse (DW) efforts in conjunction with third-party BI/DW offerings. + Work with the Requirements IPT lead to identify Component reporting requirements. + Work with the JPMO and the SI to facilitate the design and development of report and query designs. + Work with the SI and Functional Testing lead and provide advice to the JPMO on the development of test scripts for reports and ensure the data is reported as expected. + Work with the third-party provider to resolve and report defects and to test the report until all issues are resolved. + Perform data mining and analysis. + Attend, facilitate, and take minutes for meetings, as needed/requested. + Act as project manager as needed for working groups. **Minimum Qualifications** + Bachelor's Degree in Engineering, or a related scientific or technical discipline, or equivalent relevant experience + 5-10 years of overall work experience, 2+ years experience in the areas of data analytics, developing dashboards and data models **Other Job Specific Skills** + Possesses and applies expertise on multiple complex work assignments. Assignments may be broad in nature, requiring originality and innovation in determining how to accomplish tasks. + Operates with appreciable latitude in developing methodology and presenting solutions to problems. + Contributes to deliverables and performance metrics where applicable. + Design strategies for enterprise database systems and set standards for operations, programming, and security. + Design and construct large relational databases. + Integrate new systems with existing warehouse structure and refine system performance and functionality. + Intermediate proficiency level with Atlassian/Confluence/Jira + Advanced proficiency level with Microsoft application skillset **Compensation Ranges** Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees. **EEO Requirements** It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies. All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment. Physical Requirements The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions. **Disclaimer** The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. $69,700 - $83,000 EEO Requirements It is the policy of ASM that an individual's race, color, religion, sex, disability, age, gender identity, veteran status, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies. All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, veteran status, disability, gender identity, or age. All decisions on employment are made to abide by the principle of equal employment.

We are seeking a highly skilled Data Scientist to provide scientific, analytical, and decision support for key questions around enhancements to our weather data systems, networks, and APIs. The ideal candidate will apply spatiotemporal data science and engineering tools to evaluate new weather data sources and use our data lakehouse technologies to deliver new environmental and weather data products and automations. We are targeting an hourly rate of $73/hr. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ******************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements · M.S. or Ph.D. in Meteorology, Atmospheric Science, or a related field. · Expert-level programming skills in Python. · Familiarity with Git-based CI/CD workflows for data science project management and reproducible research. · Experience working with HPC or cloud computing technologies for big data and large compute jobs (AWS preferred). · Experience working with highly multivariate spatio-temporal data sets. · Proficiency in SQL and familiarity with lakehouse technologies. · Experience building visualizations of scientific data. null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to ********************.

This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. **The Role** The Staff Data Scientist is an internal expert in methodology and leads audience activation modeling efforts, translating complex customer data into actionable marketing strategies and personalized customer experiences through machine learning modeling. This individual possesses deep technical expertise in statistics and machine learning, with a strong focus on their application in marketing targeting. This individual will collaborate closely with stakeholders from GM's vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, conduct objective performance evaluations, and optimize audience activation to drive sales. You will be responsible for developing advanced marketing models, extracting valuable insights, and creating scalable solutions that identify high-return investment opportunities at the channel and tactic levels. Our team is focused on delivering forward-thinking, consumer-centric, and prescriptive solutions that enable GM to remain proactive and agile as we transition to electric vehicles (EVs). **What You'll Do** Staff Data Scientist will be responsible for: + 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 + 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 + Mentoring junior data scientists on the team **Your Skills & Abilities (Required Qualifications)** + Master's Degree or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Marketing Science, or another quantitative field + Deep knowledge of Machine Learning and Statistics. Familiarity with Deep Learning algorithms is a plus + Proficient in writing scalable code using Python and SQL/Spark, with experience working with Spark/ML, scikit-learn, NumPy, Pandas, StatsModels, PyMC, TensorFlow, PyTorch, and related packages + Experience withcloud compute platforms such as Azure with Databricks experience being especially valuable + 10+ years of experience as a Data Scientist or in a related role,developing, deploying, and monitoring performance of large analytic data sets and machine learning based models + Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression, media mix modeling (MMM), multi-touch attribution (MTA) + Prior experience with CRM, paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **Additional Job Description** This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. Compensation: + The expected base compensation for this role is: $160,200- $285,300. 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 (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. \#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 aspire to be the most inclusive company in the world. 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. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. **Benefits Overview** The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: - Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; - Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; - Company and matching contributions to 401K savings plan to help you save for retirement; - Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; - Tuition assistance and student loan refinancing; - Discount on GM vehicles for you, your family and friends. **Diversity Information** General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. **Equal Employment Opportunity Statements** GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, "protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com 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 location** **s** 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. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .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.

About Brokers International As The Original Agency Builder since 1983™, Brokers International is one of the largest and most experienced insurance marketing organizations in the country. We work effortlessly to help our agency partners, and their financial professionals build their businesses and serve their customers through innovative products, marketing, compliance, and operational support. In June of 2021, we partnered with Integrity Marketing Group, the nation's largest independent distributor of life and health insurance products, to help us expand our reach and provide a more holistic planning service to agents and agencies across the industry. Under the leadership of Mark Williams, BI is making significant investments in talent, operations, sales and marketing capabilities, and digital platforms in order to step-change its ability to drive accelerated growth as a strategic partner. BI and it's subsidiary organizations are making significant investments in talent, operations, sales and marketing capabilities, and digital platforms in order to step-change its ability to drive accelerated growth as a strategic partner. Our culture is one of inclusion, diversity of thought and passionate teamwork. You will be surrounded by individuals that are passionate about our company, our brand, the level of support we provide our partners, and working as one integrated team. Our core values are Teamwork, Work Ethic, Integrity, and Customer Service. If you are up for the challenge, come join us and be part of taking BI on a new journey of accelerated growth and success. Job Summary Excellent opportunity to join a successful well-established wholesale insurance company looking to grow to the next level. The Data Analyst and Administrator will focus on understanding and analyzing all Integrity Wealth data needs, requirements, sources and platforms. This role will provide data analysis and customer support, working to establish efficiencies in the data process. A successful candidate will have goals of data engineering and understand the data platforms. Primary Responsibilities: Effectively work in a matrixed team in support of specific business and/or regulatory needs. Troubleshoot and research data inconsistencies, create efficiencies, support Wealth platforms including Black Diamond, Pershing, Charles Schwab, Salentica, Nexus. Research and build a detailed understanding of the problem and related data assets in order to code the data processing and analysis. Ensure that the data used follows the compliance, access management, and control policies of the company while meeting the data governance requirements of the business. Work with technical groups to support the collection, integration, and retention of the data sources. Apply data visualization and summarization techniques to the analytical results. Interpret and communicate the results in a manner that is understood by the business. Primary Skills & Requirements: Bachelor's or Masters's Degree in Mathematics, Engineering, Computer Science, or equivalent work experience. 5+ years related technical experience and 3+ years analytical experience in the Banking/Financial industry or similar highly regulated industry. Understand all sources of data - DTCC, DST, DAZL, Nexus, Pershing, Charles Schwab, etc. Data migration skills - ETL processes, API integrations Previous experience with Black Diamond, Salentica, Pershing, and Charles Schwab preferred Ability to reconcile data across multiple platforms About Integrity Integrity is one of the nation's leading independent distributors of life, health and wealth insurance products. With a strong insurtech focus, we embrace a broad and innovative approach to serving agents and clients alike. Integrity is driven by a singular purpose: to help people protect their life, health and wealth so they can prepare for the good days ahead. Integrity offers you the opportunity to start a career in a family-like environment that is rewarding and cutting edge. Why? Because we put our people first! At Integrity, you can start a new career path at company you'll love, and we'll love you back. We're proud of the work we do and the culture we've built, where we celebrate your hard work and support you daily. Joining us means being part of a hyper-growth company with tons of professional opportunities for you to accelerate your career. Integrity offers our people a competitive compensation package, including benefits that make work more fun and give you and your family peace of mind. Headquartered in Dallas, Texas, Integrity is committed to meeting Americans wherever they are - in person, over the phone or online. Integrity's employees support hundreds of thousands of independent agents who serve the needs of millions of clients nationwide. For more information, visit Integrity.com. Integrity, LLC is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. In addition, Integrity, LLC will provide reasonable accommodations for qualified individuals with disabilities.

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? **In this position...** Ford is redefining how it will build a better world for the future by creating a culture and opportunities where employees will capitalize on Ford's excellence in designing and building the most iconic products while also helping develop the future of world-class connected Battery Electric Vehicles (BEV). We call this new business Model e. The creation of Model e was informed by the success of small, passionate Ford teams that developed the Mustang Mach-E SUV and F-150 Lightning pickup, as well as Ford's dedicated EV division in China. Similarly, dedicated teams within Model e will create the software platforms and fully networked vehicle architectures to support delightful, always-on and ever-improving vehicles and experiences that will allow us to deliver over 50% of our total sales in BEV and 33 million connected vehicles by 2030. We are building a team of the world's best software, electrical and automotive talent and turning them loose to create shockingly great electric vehicles and digital experiences for new generations of customers. These changes in our business will allow us the greatest opportunity to bring value and serve customers since Henry Ford scaled the Model T. **What you'll do...** This role will provide you with a unique opportunity to build a data and analytics ecosystem to drive important GTM use cases within the recently launched Model e business. The Data Scientist will drive and lead building, maintaining, and refining the machine-learning capabilities that will be the core of Model e's new business decisions, including dynamic pricing, dynamic service pricing, dynamic subscription pricing, etc. The Data Scientist will be an integral part of the GTM technical team for the Model e business. Reporting to the Head of Global Pricing & GTM Data Science, this person will lead critical projects in the pipeline that will shape the future of Ford Model e. The Data Scientist will build and maintain data science and analytics capabilities that will be central to Model e's Pricing and GTM requirements. This technical leader will interface directly with Ford's Global Data Insights & Analytics team (GDIA) as well as with Ford IT to build and advance the frontiers of Model e's go-to-market model (e.g., dynamic service pricing models, subscription pricing models, etc.) and will be critical to unlocking sustainable value creation for Ford's Model e EV business. The Data Scientist will have a strong technical background, with experience building digital products from concept through to deployment. The ideal candidate will have strong data science capabilities (Python, SQL, Airflow, ML algorithmic techniques), experience working on cloud-based systems (ideally Google Cloud) as has worked in a business context where translating business requirements into technical solutions was essential. They will be a natural problem solver and strategist who will enjoy working in an entrepreneurial environment and stitching together components from the traditional Ford business with transformational ideas and concepts to drive the Model e go to market strategy. They will have the ability to build critical relationships and work cross functionally with members of marketing, sales, finance, GDIA, IT, etc. As a technical leader they will mentor junior team members and help build a culture of trust and a sense of belonging, accountability, speed, and the ability to constructively challenge each other. They will have a strong bias to action, iterate quickly and have fun while doing the best work of their career. **You'll have...** -Bachelor's degree in an appropriate field of study -3+ years of experience, with specific focus on data science and machine learning Technical qualifications: -3+ years of DS experience with end-to-end cloud-based development (develop, test, industrialize, deploy), Google Cloud preferred -3+ years of Coding experience with Python modeling, with demonstrated ability to go from concept through to implementation. -Experience with Pandas, Scikit learn, and NumPy packages as well as ensemble-based ML algorithms (e.g., random forest, gradient boosted trees) and Deep Learning algorithms (e.g., RNNs, CNNs, GANs). Expertise in time series modeling. Working knowledge of natural language processing and anomaly detections. -3+ years of SQL experience for data manipulation/data engineering **Even better, you may have...** -Master's degree, PhD, or MBA in an appropriate field of study -North America and global experience -Tangible experience with the full life cycle of building digital solutions (from PoC through to Production) -Relevant experience linking business requirements to digital product development -Record of accomplishment working DevOps and agile (vs. waterfall approach) Disruptor - willing to push for change -Challenger mindset - ability to push past status quo & obstacles to implement vision You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including: - Immediate medical, dental, vision and prescription drug coverage - Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more - Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more - Vehicle discount program for employees and family members and management leases - Tuition assistance - Established and active employee resource groups - Paid time off for individual and team community service - A generous schedule of paid holidays, including the week between Christmas and New Year's Day - Paid time off and the option to purchase additional vacation time. This position is a salary grade 8. For more information on salary and benefits, click here: ********************************** (****************************************************************************************************************************************** IORk352pb3W8Ef3jdMrFAzAJsdp6K\_A\_Blz\_Q$) Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. \#LI-Remote #LI-KJ1 JD missing, template provided to have by discovery call. JD missing, template provided to have by discovery call. **Requisition ID** : 42535

As The Original Agency Builder since 1983™, Brokers International is one of the largest and most experienced insurance marketing organizations in the country. We work effortlessly to help our agency partners, and their financial professionals build their businesses and serve their customers through innovative products, marketing, compliance, and operational support. In June of 2021, we partnered with Integrity Marketing Group, the nation's largest independent distributor of life and health insurance products, to help us expand our reach and provide a more holistic planning service to agents and agencies across the industry. Under the leadership of Mark Williams, BI is making significant investments in talent, operations, sales and marketing capabilities, and digital platforms in order to step-change its ability to drive accelerated growth as a strategic partner. BI and it's subsidiary organizations are making significant investments in talent, operations, sales and marketing capabilities, and digital platforms in order to step-change its ability to drive accelerated growth as a strategic partner. Our culture is one of inclusion, diversity of thought and passionate teamwork. You will be surrounded by individuals that are passionate about our company, our brand, the level of support we provide our partners, and working as one integrated team. Our core values are Teamwork, Work Ethic, Integrity, and Customer Service. If you are up for the challenge, come join us and be part of taking BI on a new journey of accelerated growth and success. Job Summary Excellent opportunity to join a successful well-established wholesale insurance company looking to grow to the next level. The Data Analyst and Administrator will focus on understanding and analyzing all Integrity Wealth data needs, requirements, sources and platforms. This role will provide data analysis and customer support, working to establish efficiencies in the data process. A successful candidate will have goals of data engineering and understand the data platforms. Primary Responsibilities: Effectively work in a matrixed team in support of specific business and/or regulatory needs. Troubleshoot and research data inconsistencies, create efficiencies, support Wealth platforms including Black Diamond, Pershing, Charles Schwab, Salentica, Nexus. Research and build a detailed understanding of the problem and related data assets in order to code the data processing and analysis. Ensure that the data used follows the compliance, access management, and control policies of the company while meeting the data governance requirements of the business. Work with technical groups to support the collection, integration, and retention of the data sources. Apply data visualization and summarization techniques to the analytical results. Interpret and communicate the results in a manner that is understood by the business. Primary Skills & Requirements: Bachelor's or Masters's Degree in Mathematics, Engineering, Computer Science, or equivalent work experience. 5+ years related technical experience and 3+ years analytical experience in the Banking/Financial industry or similar highly regulated industry. Understand all sources of data - DTCC, DST, DAZL, Nexus, Pershing, Charles Schwab, etc. Data migration skills - ETL processes, API integrations Previous experience with Black Diamond, Salentica, Pershing, and Charles Schwab preferred Ability to reconcile data across multiple platforms About Integrity Integrity is one of the nation's leading independent distributors of life, health and wealth insurance products. With a strong insurtech focus, we embrace a broad and innovative approach to serving agents and clients alike. Integrity is driven by a singular purpose: to help people protect their life, health and wealth so they can prepare for the good days ahead. Integrity offers you the opportunity to start a career in a family-like environment that is rewarding and cutting edge. Why? Because we put our people first! At Integrity, you can start a new career path at company you'll love, and we'll love you back. We're proud of the work we do and the culture we've built, where we celebrate your hard work and support you daily. Joining us means being part of a hyper-growth company with tons of professional opportunities for you to accelerate your career. Integrity offers our people a competitive compensation package, including benefits that make work more fun and give you and your family peace of mind. Headquartered in Dallas, Texas, Integrity is committed to meeting Americans wherever they are - in person, over the phone or online. Integrity's employees support hundreds of thousands of independent agents who serve the needs of millions of clients nationwide. For more information, visit Integrity.com. Integrity, LLC is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. In addition, Integrity, LLC will provide reasonable accommodations for qualified individuals with disabilities.

Company: Norstella Employment Type: Full Time **Description** At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. ** :** Norstella Real World Data (RWD) is seeking a skilled NLP Data Scientist with clinical background with a focus on Language Models to join our AI & Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory reports analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma. **Responsibilities:** + Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, Qwen, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports. + Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data. + Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes. + Validate and present data findings to stakeholders, exhibiting clear and effective communication skills. **Qualifications:** + Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related analytical field. + Deep understanding and direct experience (2+ years) in handling and interpreting either Electronic Health Records (EHR) and laboratory tests results or genetic test results is a must. + Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modeling, etc. and their applied use in healthcare. + Expert-level understanding and practical experience (1+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning. + Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, spa Cy, Hugging face Transformers, and deep learning libraries such as PyTorch, TensorFlow.Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation. + Experience in working with AWS cloud environment and large databases (e.g., AWS redshift). + Experience in managing ML lifecycle using open-source tools (e.g., MLflow).Detail-oriented with strong analytical and problem-solving abilities. + Excellent verbal and written communication skills, with ability to present complex data to non-technical audience. **Preferred Qualifications:** + Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA. + Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT. + Experience in RAG (Retrieval-Augmented Generation) and vector store in the context of storing large volume of healthcare unstructured documents and querying those. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Paid parental leave Paid time off principles for success at Norstella **01: Bold, Passionate, Mission-First** We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. **02: Integrity, Truth, Reality** We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. **03: Kindness, Empathy, Grace** We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. **04: Resilience, Mettle, Perseverance** We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. **05: Humility, Gratitude, Learning** We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. The expected base salary for this position ranges from $140,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. _Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment._ _Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._ Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

Job Title: Data Scientist NOTE: We Prefer candidates that can work at the client facility in Urbandale, IA. Remote for only the most qualified of candidates. Pay Rate: USD $55.00 -$58.00 Per Hour Job description Data Scientist Job Summary This role will be working for Aquent Studios as a Data Scientist for one of our top clients' Intelligent Services Group. The team leverages petabyte-scale datasets for advanced analytics and model building to enable intelligent, automated equipment and improved decisions by farmers. The team also partners with product managers and data engineers to design, scale, and deliver full stack data science solutions. Join a passionate team making a difference by applying innovative technology to solve some of the world's biggest problems. In this role, the candidate will: Communicate with impact 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. Relevant skills include: Demonstrated competency in developing production-ready models in an Object-Oriented Programming language such as Python. Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, etc. Experience with Visualization tools such as Tableau, 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, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, and to effectively take notes. What makes candidates stand-out are skills such as: Additional experience with other languages such as R, JavaScript, Scala, etc. Experience with Geospatial data search and analysis, geo-indexing techniques, vector and raster data structures. Experience with remote sensing and GIS tools. Experience with CVML 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 which is clearly understandable by nontechnical audiences.

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **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 + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **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:** 1/26/2025 *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 (***************************************************************************************************************************

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.

While The Rasmussen Group has over a century of construction expertise, we continue to evolve by integrating emerging technologies, including artificial intelligence, to enhance efficiency and safety in our industry. Our focus on innovation ensures that we remain at the forefront of construction advancements while maintaining the values and commitment that has defined us since 1912. This intern will be responsible for researching AI/Machine Learning and additional construction industry and applications to utilize for our multi-faceted construction company. At the end of the internship, this intern will produce a written report and presentation to our executive team of findings and next steps from their research. Key Responsibilities (Essential Duties and Functions) Conduct research on AI/machine learning technologies and their applications in the construction industry (ready-mix production and delivery, asphalt production and placement, aggregate mining, trucking, etc.). Assist with implementing and utilizing AI-based platforms to help achieve business needs and goals Capture jobsite and location production progress using advanced technologies such as drones, 360-degree cameras, and AI-driven analytics. Identify how this technology can be utilized to serve our customers and companies. Collaborate with Managers and Directors on AI-based tools and technology to improve project efficiency, resource management, and data analysis. Analyze construction data (e.g., material usage, labor productivity) and help develop data models to improve project performance. Examine the potential legal and business implications of utilizing AI and machine learning technologies in construction. Job shadow various departments to better understand business needs and identify opportunities for technology enhancements. Visit production facilities to learn about the various companies of Rasmussen Group. Attend company-wide events, such as safety meetings, quarterly and Senior Leadership meetings. Provide leadership with clear, data-backed suggestions on how AI can improve efficiency, reduce costs, or enhance safety across Rasmussen Group's companies. Requirements Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or ability required. Reasonable accommodation may be made to enable individuals with disability to perform the essential functions. Education/Experience Currently pursuing a masters or bachelor's in engineering, Information Systems, Computer Science, Data Science, or a related field. High school diploma or general education degree (GED) preferred. Knowledge/Skill Requirements Strong interest in AI, machine learning, and technology applications in construction materials production and delivery. Basic understanding of programming and coding languages Eagerness to explore potential real-world applications of AI in construction materials production and delivery. Able to work independently with limited oversight Strong analytical, problem-solving, and critical thinking skills Excellent verbal and written communication skills, with the ability to convey technical and research findings to both technical and non-technical audiences Work Requirements Must be able to navigate all areas of the construction site in all types of weather While some work will be done in office, interns will also visit job sites to understand real-world applications and challenges of implementing AI-driven solutions. Must pass post-offer employment drug testing, medical exams, and physical agilities testing. Willingness to work in a team environment and assist co-workers and/or supervisors with other duties as required. This is an onsite role. Must have the ability to report to our office each day. Individuals are required to wear personal protective equipment (PPE) in designated operations and production areas as stated by OSHA and/or MSHA. Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Able to stand, walk, use hands and fingers to manipulate objects, talk and hear. Vision abilities (with correction) include close, distance, peripheral, depth, and the ability to adjust focus. Frequently required to sit and use hands. Frequently required to stand and walk for extended periods of time. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Standard office environment. Tempo is fast paced with deadlines. The noise level in the work environment may be moderate. The statements included in this job description are not intended to be all-inclusive. They represent typical elements and criteria necessary to successfully perform the job. Other duties may be assigned as required. Requirements for this job are subject to modification by the Company and its designees, and reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We live in a digital world. What better way to stay competitive than partnering with a team of creatives, account executives, and Google-certified web marketing specialists willing to go the extra mile to incorporate the latest trends. That is what you can be a part of as an Intern with VGM Forbin. Position Summary VGM Forbin is a dynamic and innovative digital marketing agency committed to helping businesses grow their online presence. We specialize in Search Engine Marketing (SEM) and are seeking a motivated SEM Intern to join our marketing team. This internship offers hands-on experience in various aspects of SEM, Google Analytics and creating GA4 conversions. It's an excellent opportunity for a student or recent graduate to gain experience in the growing world of digital advertising. This position will be contributing to the success of our campaigns and our clients' satisfaction while fostering continual improvement within the team. Reporting Accountability: Senior Director of Marketing Working Location: Waterloo, IA or Des Moines, IA Work Hours Classification (check all that apply): Internship / Part-Time Responsibilities/Duties of the Job * Manage and optimize SEM campaigns across platforms like Google Ads and Bing Ads * Partner with SEM Specialist to create compelling ad copy, perform keyword research, manage campaign budgets, and analyze performance metrics * Conduct competitor analysis, ad extension management, and Quality Score improvement * Keep up-to-date and informed about industry trends and best practices to share insights with the team * Assist the marketing team as needed, including running GA4 reports, and creating conversions. Position Qualifications Education/Skills * Currently pursuing a degree in Marketing, Advertising, Business, or a related field (preferred) * Basic knowledge of SEM concepts and digital marketing * Strong analytical skills and attention to detail * Highly motivated and eager to learn Physical Requirements: * Operation of office equipment and using technology efficiently such as computers, phones, misc. office equipment * Visual abilities to include reading, distance vision and peripheral vision * Moving throughout the VGM facilities when needed This job description reflects the general duties of the job but is not a detailed description of all duties which may be inherent to the position. Reasonably related additional duties may be assigned to the individual Associate. VGM Group, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, pregnancy, national origin, disability, genetic information, military or veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, 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 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 (Technical Leadership) 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. Understand and identify opportunities to more responsibly leverage cutting edge technology. 5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. 6. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. 7. Intellectual curiosity and drive, decisiveness, with ambiguity and complexity. **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 9. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development. 10. Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance. 11. Experience framing and communication skills. **Preferred Qualifications:** Preferred Qualifications: 12. Masters or Ph.D. Degree in a quantitative field. 13. Experience with predictive modeling, machine learning, and experimentation/causal inference methods. **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Insight Global is hiring for a high-performing Data Scientist to explore how Artificial Intelligence and Large Language Models can transform agriculture. We are developing the next-generation AI assistant, the Agronomic Resource Library, designed to empower our sales representatives with seamless access to knowledge and data. The AI chatbox can answer questions about agronomy, seed and crop protection products, fields, and software support. We are targeting an hourly rate of $65-68/hr. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ******************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements · Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. · Demonstrated experience in Python programming and software engineering best practices. · Experience with databases and data pipelines. · Working knowledge of LLMs and RAG. · Proven ability to work collaboratively across multiple company departments with distinct needs and perspectives. · Outstanding problem-solving skills and a proven ability to independently deliver solutions. · Proven ability to complete complex projects on time and within budget. Superior communication skills, both verbal and written. null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to ********************.

Responsible for seamless order intake, validation, and processing to enable successful provisioning and billing orders to complete customer orders as a unit of work. This role requires a high level of attention to detail, the ability to work under tight deadlines, and seek assistance when required to ensure a high level of quality of orders being entered. Handles the most complex order intakes or customers. + Process new and transition orders for Federal agencies, ensuring accuracy and compliance with all federal regulations + Utilize intake methods such as email, Ebond (Conexus, ETEMs), and Business Center to manage order requests. + Collaborate with cross-functional teams to ensure seamless order processing from intake to billing, including review of order provisioning and billing setup in the system. + Maintain up-to-date knowledge of EIS products, process flows, and service level agreements (SLAs). + Support operational dashboards for order visibility and forecasting to improve predictability and control. + Ensure all network hardware, core network configurations, and software requirements are accurately captured and assigned. + Collaborate with Service Management to maintain client health index and manage customer relationships from delivery to billing. + Responds to requests from internal and external customers to expedite orders, correct errors, or investigate problems with transportation providers. + Researches and resolves order errors and updates the system and suggests system or process improvements related to errors. + May assist in training or mentoring junior Order Intake Specialists. Minimum Qualifications + Associate's degree in a related field or equivalent work experience + 5-8 years of related experience in a network services environment with a focus on order intake and management and/or experience with data entry. Experience within federal government context a plus. Other Job Specific Skills + Strong analytical and problem-solving abilities. + Proficient in the use of innovative tools and analytics for process optimization. + Excellent interpersonal and customer service skills. + Strong organizational skills and the ability to manage a high volume of orders. + Strong written and verbal communication skills. + Proficient in using various intake methods and comfortable working with technology. + Ability to work effectively in a team environment. + Ability to work on MS Excel for any business calculation. + Keen attention to detail and accuracy. + Ability to work well under pressure. **Compensation Ranges** Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees. **EEO Requirements** It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies. All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment. Physical Requirements The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions. **Disclaimer** The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. $46k - $66k EEO Requirements It is the policy of ASM that an individual's race, color, religion, sex, disability, age, gender identity, veteran status, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies. All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, veteran status, disability, gender identity, or age. All decisions on employment are made to abide by the principle of equal employment.

**_What Data Science contributes to Cardinal Health_** The Data and 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. **_Department/Team Overview_** We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas: + Distribution center network design and capacity planning + Facility layout and design; warehouse capacity and utilization + Warehouse process improvement + Labor management and automation + Inventory management: stocking strategies and replenishment policies + Transportation planning: first mile, middle mile, and final mile + Sales and operations planning (resource management in response to demand changes) **_Responsibilities_** As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to: + Listen to clients and ask questions to clearly define business problems. + Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses. + Develop predictive models to forecast future volumes that will drive capacity/resource needs. + Develop customer and product segmentation models and design our supply chain to support differentiated services. + Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance. + Develop prescriptive models using 3rd party optimization/simulation software and custom-build models. + Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered. + Work with Data Engineers to create data models for analyses. **_Qualifications_** + 2-4 years of experience, preferred + Bachelor's degree in a quantitative field, or equivalent work experience, preferred + MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred + Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred + Experience with Structured Query Language (SQL) and working with databases preferred + Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred + Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred + Proven ability to work as part of a team as the key analytical resource + Excellent communication skills with an ability to explain quantitative analysis in simple business terms + Intellectual curiosity, humility, genuine respect and desire to help others + Bias for action and passion for driving change + Ability to travel up to 5% **_What is expected of you and others at this level_** + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects + May contribute to the development of policies and procedures + Works on complex projects of large scope + Develops technical solutions to a wide range of difficult problems + Solutions are innovative and consistent with organization objectives + Completes work; independently receives general guidance on new projects + Work reviewed for purpose of meeting objectives + May act as a mentor to less experienced colleagues **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **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:** 4/18/2025 *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 (***************************************************************************************************************************