Senior data scientist jobs in North Dakota

**Oracle Creative Labs** is Oracle's innovation hub for building a suite next generation solution that empower animation, vfx, live action and game development studios to migrate their production pipelines to the cloud. We're reimagining how digital media is created, managed, and delivered-offering a variety of services and AI enabled solutions. We're seeking a passionate and inventive **Principal Data Scientist** to join our Creative Labs team. You'll work at the intersection of technology and creative production, helping us unlock insights from datasets generated by media workflows. You will be responsible for the development and implementation of cutting-edge technology by leveraging Image, Video and Text Generative models and neural networks. **Responsibilities** **Responsibilities:** + Participate in-depth research on Media related AI domains such as computer vision, Generative AI, Transformers, diffusion models, and other emerging approaches. + Design, develop, and train models that meet the highest quality standards for visual fidelity. Propose hypothesis, design, and conduct experimentation to validate them for business use case. + Prepare detailed reports and comparative analysis of models and pipelines. + Work closely with cross-functional teams to integrate models into usable workflows and services. + Analyze large-scale datasets from animation, rendering, and asset management pipelines to uncover trends and inefficiencies. + Identify new opportunities for adding value to the media content creation process and its component workflows. + Collaborate with engineering and product teams to integrate data-driven features into cloud services. + Package and deploy AI models and pipelines as prototype services and support engineering in commercial deployment\#LI-LD1 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 in USD from: $109,200 to $223,400 per annum. May be eligible for bonus and equity. 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. Career Level - IC4 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people 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 emailing accommodation-request_************* or by calling *************** in the United States. 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.

Senior Data Scientist, Training Aircraft Readiness (4762)at SMX(View all jobs) (********************************* United States SMX is looking for a Training Aircraft Readiness Senior Data Scientist to support the Naval Undergraduate Flight Training Systems Program Office (PMA 273) at Patuxent River Naval Air Station in Lexington Park, MD. PMA-273 is responsible for managing the aircraft, simulators, and associated systems that support the U.S. Navy's undergraduate pilot training pipeline. This Program Office's purview includes the acquisition, development and maintenance of six trainer aircraft: TH-73 Thrasher, T-44 Pegasus, T-45 Goshawk, T-6 Texan II, and T-54A Marlin II. These aircraft and programs also include related simulator suites, academic materials, computer-based training integration systems and contractor logistics support. **Essential Duties & Responsibilities** + Lead advanced training aircraft readiness analysis, applying statistical modeling, predictive analytics, and readiness metrics evaluation to identify trends, assess training aircraft readiness performance, and provide actionable insights that improve mission availability. + Provide high-level subject matter expertise, analysis, and technical guidance to support project execution. **Required Skills/Experience** + Clearance Required: Secret + A Management, Technical or Scientific master's degree from an accredited college or university is required. + Allowable substitution: a Business, Management, Technical or Scientific BS or BA degree from an accredited college or university and an additional four (4) years of recent and relevant experience. + Must have at least ten (10) years of recent and relevant experience in an engineering or operations analysis position, three (3) of which must be directly related to DoD systems + Must have demonstrated experience in area of engineering expertise. + Proficiency in analyzing and extracting data from DoD aviation maintenance and logistics systems (e.g., NALDA, OOMA, DECKPLATE). + Experience working with aircraft maintenance, logistics, and readiness data to evaluate fleet performance and operational availability. + Knowledge of DoD aviation maintenance processes, readiness metrics (Full-Mission Capable (FMC) & Mission Capable (MC) rates) and reporting standards. + Ability to integrate data across multiple DoD systems to perform trend analysis, predictive maintenance forecasting, and readiness assessments. + Familiarity with DoD data governance, security, and compliance requirements, including handling of controlled unclassified information (CUI). + Experience building dashboards and readiness reports for senior leadership and program managers within defense organizations. + Expertise in applying statistical and analytical methods directly to aircraft sustainment and operational readiness problems. **Application Deadline:** 12/10/2025 \#cjpost #LI-REMOTE The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $105,200-$175,300 USD At SMX , we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration. SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

***************** is planning to bring a million developers and a billion users onchain. We need your help to make that happen. At Base, we live by ourhttps://x.com/jessepollak/status/***********32673997, where our team rises to the challenge, embraces hard weeks, and makes small to significant personal tradeoffs when necessary to drive impact and innovation. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. *What you'll be doing:* * Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making. * Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. * Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. * Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders. *What we look for in you:* * A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience * Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. * Ability to influence external stakeholders by synthesizing data learnings into compelling stories. * Practical expertise in applying complex modeling frameworks to practical business problems. * Professional experience using SQL and Python. * Experience working with digital products in an iterative development cycle. * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370-$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available **************************************************************** AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com.

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 11. 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 12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 13. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 15. Masters or Ph.D. Degree in a quantitative field 16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 17. 10+ years of experience doing complex quantitative analysis in product analytics **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.

At Doosan Bobcat, our success is powered by our people. Through our winning culture and one global team working together, we deliver the best products and service to our customers - and make the world a better place. Join our team today and start building your career with a worldwide leader. Job Information Join Our Team of Digital Groundbreakers: Where Innovation Meets Global Impact As a Data Scientist you will be a part of a team that will apply advanced statistical and computational methods to solve real-world business problems. Your responsibilities will include various steps within the data science lifecycle, from data collection and cleaning to model development and deployment. You will play a critical role in enabling data-driven decision making across our organization. Additionally, you collaborate closely with cross-functional teams to align data science initiatives with business objectives and strategize innovative solutions that challenge the status quo to optimize processes and drive growth. Role & Responsibility Solution Deployment * Develop machine learning and artificial intelligence applications, with an emphasis on the production of intuitive user experiences characterized by clean design and ease of use. * Implement best practices of MLOps to ensure the reliability, scalability, and performance of machine learning models in production environments. External Partnerships * Collaborate with external partners to accelerate development and deployment of data science solutions, leveraging complementary capabilities and resources. * Incorporate the latest advanced analytics processes learned from external partners into our internal workflows and methodologies, ensuring that our data science practices remain at the forefront of industry innovation. Advanced Algorithms and Solutions * Research, develop, and deploy advanced machine learning algorithms and predictive models to solve complex business problems. * Explore novel techniques and methodologies to enhance the performance, scalability, and robustness of our data science solutions. * Identify relevant data sources and variables for analysis, leveraging both structured and unstructured data, to generate key insights for business improvement. Job Requirement * Education Required: Bachelor's Degree in a quantitative discipline, such as Data Science, Mathematics, Computer Science, Engineering, or a related field with applicable skills. * 2+ years of related work experience * Strong problem-solving abilities. * Curiosity with the ability to learn and apply new technologies. * Demonstrated proficiency in programming language(s), preferably Python. Experienced use of AWS, Azure is preferred. * Excellent teamwork/collaborative aptitude, with the ability work independently. As a part of the Doosan Group, which employs more than 43,000 people in 38 countries worldwide, the company offers its customers products and solutions to help build stronger businesses and communities. Based in Seoul, South Korea, with its North America headquarters in West Fargo, North Dakota, Doosan Bobcat is a leading global manufacturer of construction, agriculture, landscaping and grounds maintenance equipment, attachments and services. The company is committed to empowering people to accomplish more. Doosan is committed fostering an inclusive and a diverse workforce and is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, religion, creed, citizenship status, national origin, disability, marital status, sexual orientation, gender identity, protected veteran status, or any other status or characteristic protected by law. If you have a disability or special need that requires accommodation, please contact us at ************. Doosan is a VEVRAA federal contractor and seeks priority referrals of protected veterans. Beware of Fraudulent Job Offers and Solicitations Any legitimate job offer will be preceded by an official selection process.

Cognizant is one of the world's leading professional services companies, we help our clients modernize technology, reinvent processes and transform experiences, so they can stay ahead in our constantly evolving world. Cognizant is looking to expand our team and your skills are needed. Are you interested? If so, please apply in order to be considered. We look forward to reviewing your application! The Data Scientist creates a shared understanding of business performance to drive data-driven decisions and accountability across business channels. **Main Responsibilities:** Enables Proactive Insights: Surfaces forward-looking analytics using advanced data modeling and engineering techniques. - Establishes COE Strategy: Develops MSS Data Science COE strategies, best practices, and scalable frameworks. - Optimizes Tools & Processes: Streamlines DS workflows, prioritizes initiatives, and enables cross-LOB alignment and scaling. - Leverages Technical Expertise: Utilizes PySpark/SQL, Fabric Engineering, and Lakehouse architecture for data model development. - Strengthens the Data Ecosystem: Troubleshoots to ensure performance, reliability, and accessibility. - PySpark/SQL - Fabric Engineer & Lakehouse Design - Data model development - Data ecosystem troubleshooting & Solutioning **Hourly Rate and Other Compensation:** The annual salary for this position is between $100,000-114,400 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. **Benefits:** Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: + Medical/Dental/Vision/Life Insurance + Paid holidays plus Paid Time Off + 401(k) plan and contributions + Long-term/Short-term Disability + Paid Parental Leave + Employee Stock Purchase Plan **Disclaimer:** The hourly rate, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. **LA County (only):** Qualified applicants with arrest and/or conviction records will be considered for employment. Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Job Details MCI Bismarck - BISMARCK, ND Full Time Graduate DegreeDescription The Senior Data Scientist will play a critical role in developing, implementing, and maintaining predictive models and analytical frameworks that directly influence consumer lending acquisition, underwriting, fraud prevention, and portfolio performance. This position is hands-on, requiring strong technical expertise in data science and machine learning, paired with the ability to collaborate across business functions. The Senior Data Scientist will apply advanced statistical and machine learning techniques to optimize lending policies, improve lead acquisition, enhance fraud detection, and support customer lifecycle management. Candidates should bring strong problem-solving skills, a collaborative spirit, and flexibility to adapt to evolving priorities. Familiarity with industry-standard LMS platforms such as Infinity or Tekambi is required. Experience with automated ML platforms like DataRobot is strongly preferred. Direct experience in tribal lending or the broader consumer lending industry is a plus. This position will report to the Chief Risk Officer. Essential Roles/Responsibilities Insight & Data Science Develop, test, and deploy predictive models to support loan application decisioning, fraud detection, repayment risk, affordability assessments, and lead conversion. Support champion/challenger testing of consumer lending scorecards, underwriting rules, and lending policies. Conduct deep-dive analyses into loan performance, repayment behavior, and borrower characteristics; translate findings into actionable recommendations. Apply a variety of modeling techniques including regression, decision trees, gradient boosting, clustering, and neural networks. Leverage DataRobot and custom-built pipelines (Python/R) for model development, validation, and deployment. Collaborate with LMS platform Collaborate with LMS platform account executives (Infinity, Tekambi, or similar) to operationalize scorecards and decisioning logic. Perform back-testing, statistical validation, and ongoing monitoring to ensure models remain accurate and stable in production. Deliver clear visualizations and insights to stakeholders across risk, operations, and finance. Data Management & Engineering Support Partner with BI/Technology teams to define, source, and maintain datasets used for lending analytics and portfolio monitoring. Use SQL (SSMS preferred) to query, clean, and transform large-scale lending data. Ensure data integrity, perform feature engineering, and document business rules used for modeling. Support development of automated pipelines to track model performance and portfolio KPIs. Collaboration & Business Impact Work closely with Risk, Marketing, Operations, and Finance to align models with consumer lending strategies and portfolio goals. Support initiatives such as lead source optimization, pricing strategies, repayment forecasting, and fraud mitigation. Act as a subject matter expert on lending-focused modeling methodologies and statistical best practices. Stay current on AI/ML tools, bureau and third-party data offerings, and trends in the consumer lending industry. Onboarding & Alignment (0-30 Days) Gain a deep understanding of Makes Cents Inc.'s consumer lending business model, portfolio, and underwriting process. Build working relationships with Risk, Operations, Marketing, and Technology stakeholders. Access, validate, and familiarize with LMS platforms (Infinity, Tekambi) and key data pipelines. Review existing consumer lending models, scorecards, and loan performance reports. Early Deliverables (30-60 days): Conduct an initial diagnostic of current loan decisioning models and risk scorecards; identify gaps and opportunities. Begin developing at least one new or improved consumer lending model (e.g., fraud detection or repayment prediction) using DataRobot or Python/R. Provide early insights into borrower risk patterns, repayment behavior, or lead source quality. Document data sources, feature sets, and assumptions for a core initiative. Impact & Execution (60-90 Days) Deploy a new or updated model into champion/challenger testing within Infinity or Tekambi. Deliver a 90-day report to leadership with findings, early results, and ROI estimates. Propose a roadmap for future lending model development, monitoring, and automation. Establish credibility as a trusted, collaborative data science partner across the business knowledge and skills Advanced SQL (SSMS preferred) for querying and data wrangling. Familiarity with model interpretability tools (SHAP, LIME, etc.). Experience with BI tools (Tableau, Power BI, Domo). Familiarity with cloud-based environments (AWS, Azure, or GCP). Strong communication skills: able to explain technical findings in plain language. Ability to manage multiple projects independently in a fast-paced environment. Strong programming in Python or R (experience with scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch a plus). Attributes Oral Expression - The ability to communicate information and ideas in speaking so others will understand Oral Comprehension - The ability to listen to and understand information and ideas presented through spoken words and sentences Written Comprehension - The ability to read and understand information and ideas presented in writing Written Expression - The ability to communicate information and ideas in writing so others will understand Speech Clarity - The ability to speak clearly so others can understand you Speech Recognition - The ability to identify and understand the speech of another person Hands-on problem solver with a practical, execution-focused mindset. Strong analytical and critical-thinking skills. Collaborative team player with excellent cross-functional communication. Flexible, adaptable, and eager to contribute in a fast-changing consumer lending environment. Continuous learner with a passion for emerging AI/ML tools and lending technologies. Physical Demands While performing the duties of the job, the employee is frequently required to sit and talk or hear. The employee is occasionally required to walk; use hands to finger, handle, or feel objects, tools or controls; and reach with hands and arms. Must be able to occasionally lift up to 5 lbs. Must be able to work with a moderate noise level office atmosphere. Work Environment The position is remote under the Make Cents, Inc company located in Parshall, ND. Normal working hours are 8:00 a.m. to 4:30 p.m., CST. Monday through Friday, with flexibility to meet project. Occasional travel may be required for training, vendor meetings, or cross-team collaboration. Qualifications Education Requirements Master's degree in Statistics, Data Science, Economics, Econometrics, Computer Science, or a related quantitative field. PhD preferred but not required. Qualifications 3-5+ years of experience in predictive modeling, applied data science, or analytics within consumer lending or fintech. Strong experience with loan decisioning models, fraud detection, lead optimization, and repayment forecasting. Hands-on experience with Infinity, Tekambi, or similar LMS/decisioning platforms. Proven use of DataRobot or other AutoML platforms in production. Experience in high-volume, data-intensive consumer lending environments. Experience in tribal lending is highly preferred

Classification * $65,000 + dependent on experience; Annual, Exempt * 40 hours per week * Hybrid Work Availability: Yes (expectation to be onsite in Grand Forks ND multiple times per week) The purpose of this Biostatistician is to serve the School of Medicine and Health Sciences Biostatistics Core to provide support to faculty, staff, and students who engage in research activities. This position will conduct statistical analyses, provide guidance on appropriate study design and statistical analyses, and support collaborative research activities. Duties & Responsibilities Conduct statistical analysis and supporting documentation. * Develops and analyzes a variety of research data using statistical methods. * Provides support and serves as a resource to PI's, faculty, clinical and translational researchers, other biostatisticians, programmers, and data analysts. * Assists researchers in developing appropriate study protocols and computer analyses. * Participates in the development and selection of appropriate statistical methods and tests, sample size calculations and creation of randomization schedules. * Develops and validates statistical programs in R and/or SAS to support statistical analyses. * Prepares statistical method sections for inclusion in study protocols, grants, and manuscripts. * Provides interpretations of statistical results and prepares the relevant statistical sections for study reports, grants, and manuscripts. * Prepares electronic files using appropriate formats for submission to regulatory agencies. * Creates and maintains biostatistical documentation, including descriptions of methods, R or SAS programs and results. Coordination, management, and expansion of knowledge base of statistical support. * Evaluates and proposes new statistical methods for data analysis. * Participates in the development of standardization procedures for statistical functions. * Reviews the design and content of database designs and data edit checks. * Reviews and audits statistical analysis plans, R and SAS programs and statistical reports including tables, listings, and figures. * Manages computer systems, writes programs, and trains others in the use of systems. Keeps abreast of the latest statistical modeling and computing tools. The duties and responsibilities of this position may be completed through a hybrid work environment and flexible work arrangement. * Maintain a work schedule as outlined in the employee's approved flexible workplace arrangement including outlined work hours, communication mechanisms, and procedures for communicating with internal and external partners. * Meet with immediate work team for a minimum of one weekly team meeting via Zoom, Teams, or another virtual meeting platform. * Attend all required project meetings with internal and external partners via in-person, Zoom, Teams, or another virtual meeting platform. * Attend events at SMHS and on the UND campus as needed. Required Competencies * Advanced skills and understanding of MS Office Excel and PowerPoint. Proficiency using MS Word and Outlook. * Proficiency in modern high level statistical languages such as R and SAS and in database management. * Ability to collaborate effectively with project staff to meet shared goals and be dedicated to quality work. * Strong problem-solving and decision-making skills * Must demonstrate strong interpersonal skills, both verbal and written. * Ability to work in a fast-paced environment, meeting deadlines and achieving project objectives. * Ability to demonstrate organizational skills, prioritize, multi-task, take initiative, and to work both independently and as a part of a team. * Ability to have grace under pressure and work efficiently under time constraints while producing high quality work product. * Ability to travel occasionally to national, regional, or local events/meetings. Minimum Requirements * Master's degree in statistics, biostatistics, computer science, or a related field. * Three years of experience as a biostatistician, preferably in an academic setting. * Successful completion of criminal history background check. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire. This position does not support visa sponsorship for continued employment. Preferred Qualifications * One year experience analyzing longitudinal data in the context of a research study. * Experience with advanced methods (e.g., survival curves, multiple imputations, propensity scores, geospatial analyses, etc.), manuscript and presentation preparation. * Experience with SAS and R (proficiency with multiple statistical programs preferred). * Experience in database software. Knowledge of additional specialized software (e.g. SQL, Python, ArcGIS, M-Plus, SUDAAN). * Two years experience with health care claims or electronic health record (EHR) data analysis. To Apply Applicant is required to submit a cover letter and resume. Applicant materials must substantiate 3 years of experience as detailed in the minimum requirements. Please provide separate attachment detailing two examples of completed research projects that highlight your experience and skills.

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. **Position Summary** We're seeking a Sr. Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for analytic and data science workloads. Key Responsibilities: + Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources. + Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs. + Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access. + Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. + Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models. + Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers. + Design and architect data infrastructure analytical workloads. **Required Qualifications** + 5+ years of applicable work experience + Proficiency in Python, specifically with ETL pipelines. + Strong proficiency in SQL and experience in developing complex queries. + Familiarity with py Spark, DBT, or other similar frameworks. + Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP). + Understanding of data warehousing concepts, dimensional modeling, and building data marts. + Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. **Preferred Qualifications** + Knowledge of data governance best practices in a cloud environment. + Experience with machine learning flows on GCP. + Experience with data design in BigQuery + Experience working with the Epic data model. + Experience working with healthcare data (Tuva or OMOP Models a plus). **Education and Experience** + College degree or certification in related fields **Anticipated Weekly Hours** 40 **Time Type** Full time **Pay Range** The typical pay range for this role is: $83,430.00 - $222,480.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. **Great benefits for great people** We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: + **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** . + **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. + **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ***************************************** We anticipate the application window for this opening will close on: 12/05/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Digital Chemistry, Manufacturing, and Controls (dCMC) is a cross-divisional digital transformation initiative that will enable the pipeline by establishing a digital continuum of data from development through manufacturing for our products and processes. dCMC intends to deliver: + Increased productivity and speed to clinic/market + Accelerated timelines for site, filing, and launch readiness + Improved access to product and process data + Streamlined transfer of process and product knowledge with reduced error rates A key enabler of these outcomes is implementation of digital solutions that will install the foundational capabilities needed to realize dCMC's vision of frictionless flow of data from development to commercialization and supply. A key workstream within this initiative is the auto-generation of regulatory filing sections, enabled by a dedicated application designed to create a frictionless flow of data from source systems to regulatory documentation. Under the guidance of dCMC Regulatory Authoring Leadership, the Senior Specialist, Regulatory Authoring Business Analyst, will optimize regulatory authoring processes and enhance data management by mapping workflows, prioritizing source documents for digitization, and collaborating with cross-functional teams to implement digital solutions. The applicant will help define and implement the approach of structured content management. They will also support project management activities to ensure efficient execution and compliance within CMC operations. **The responsibilities of the dCMC Business Analyst include:** + **Business Process Mapping and Optimization** : Working with Digital CMC and associated business stakeholders, the analyst will map end-to-end processes that produce regulatory authoring data, convert complex tasks into clear workflows, identify gaps, and prioritize solutions to improve efficiency and compliance. + **Source Document Identification and Prioritization:** The analyst will identify true source documents for past regulatory filings to prioritize digitization and integration. They will drive decisions in collaboration with the data strategy team on areas of priority and opportunities for further investment. + **Stakeholder Management & Communication** : The analyst will organize and lead information gathering sessions with the internal CMC community, collaborate with cross-functional teams to gather business requirements, and coordinate with IT, Research, and Manufacturing to capture feedback on developed capabilities to ensure effective digital solution integration and adoption. + **Documentation and Project Management Support** : The analyst will create detailed process documentation, including workflows and data models. They will support project management by tracking tasks, reporting status, coordinating meetings, managing timelines and risks, and monitoring KPIs to measure digitization success. + **Application SME and Data Steward** : The analyst will support application deployment and use, with responsibilities ranging from data template creation and maintenance, onboarding data stewards from the business, authoring SOPs for new application releases, and troubleshooting use and data management. **Required Skills and Experience:** + Knowledge of manufacturing, testing, quality, and supply chain processes from late clinical development through commercialization, with practical insight into how these operations generate CMC regulatory content + Understanding of CMC operations, technology transfer, control strategy development, and regulatory authoring requirements that inform automated filing generation + Hands-on experience in regulatory authoring and submission documentation, including preparing, reviewing or supporting filing ready content and structured filing outputs. + Proven ability to map business processes, perform gap analyses, and redesign workflows to improve efficiency, reduce errors, and enable digitization. + Experience in digitization and data management initiatives in regulated environments, including source-document identification/prioritization, metadata design, and content/data modeling. + Working knowledge of key enterprise systems (LIMS, MES, SAP) and practical experience coordinating their integration into data pipelines, APIs or ETL processes for downstream authoring use + Skilled in creating and managing detailed cross-functional project plans and driving execution with accountability. + Strong team contributor, promoting an inclusive and collaborative environment + Effective problem-solving, demonstrated escalation, and strong accountability for deliverables. + Excellent verbal and written communication, with the ability to tailor messages for the audience and actively listen. + Highly organized, able to prioritize tasks to ensure project success. + Demonstrated project management skills, such as facilitating cross-functional workshops, gathering requirements, KPI tracking, and on-boarding of new users. **Preferred Experience and Skills** + Experience implementing or supporting automated regulatory authoring (structured content, template-driven generation, or document assembly) from source systems. + Strong background in business process mapping, gap analysis, and workflow optimization for CMC/regulatory authoring. + Practical knowledge of content models/structured content, metadata, and data template design to enable automated authoring. + Experience with data integration patterns and tools (APIs, data pipelines) and relevant systems (LIMS, MES, SAP). + Experience in data governance, data stewardship, and data quality management in regulated environments. **Education Minimum Requirement:** + Bachelor's of Science in a related discipline (e.g., Chemistry, Pharmaceutical Sciences, Data Analytics, Information Systems), with a minimum 5 years of experience + Master's degree in a related discipline (e.g., Chemistry, Pharmaceutical Sciences, Data Analytics, Information Systems), with a minimum of 3 years of experience + Ph.D. in a related discipline (e.g., Chemistry, Pharmaceutical Sciences, Data Analytics, Information Systems), with relevant academic Experience **Required Skills:** Business, Business Processes, Business Process Modeling, Data Analysis, Data Analytics, Data Governance, Digital Literacy, Digital Transformation, Informatica Metadata Manager, Management Process, Process Flow Documentation, Project Management, Regulatory Documents, SAP Master Data Governance (MDG), Social Collaboration, Stakeholder Communications, Technology Transfer **Preferred Skills:** Current Employees apply HERE (***************************************************** Current Contingent Workers apply HERE (***************************************************** **US and Puerto Rico Residents Only:** Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here (*************************************** if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights (****************************************************************************************** EEOC GINA Supplement We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts (********************************************** **U.S. Hybrid Work Model** Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as "remote". The salary range for this role is $114,700.00 - $180,500.00 This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable. We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at ****************************************************** . You can apply for this role through **************************** (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting. **San Francisco Residents Only:** We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance **Los Angeles Residents Only:** We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance **Search Firm Representatives Please Read Carefully** Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. **Employee Status:** Regular **Relocation:** No relocation **VISA Sponsorship:** No **Travel Requirements:** 10% **Flexible Work Arrangements:** Remote **Shift:** Not Indicated **Valid Driving License:** No **Hazardous Material(s):** n/a **Job Posting End Date:** 12/13/2025 ***A job posting is effective until 11:59:59PM on the day** **BEFORE** **the listed job posting end date. Please ensure you apply to a job posting no later than the day** **BEFORE** **the job posting end date.** **Requisition ID:** R375185

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

**A Day in the Life:** The IBM Sterling Senior MFT Engineer will have expertise in Sterling B2B Integrator, Sterling File Gateway, Sterling Secure Proxy, Control Center. This position requires an expert level knowledge of these technologies. You'll provide third-level support for core hardware, software, data and infrastructure components within the B2B integration team. The software focus areas will include software infrastructure components, continuous improvement and automation related to middleware and enterprise data movement within a mission-critical, multi-site enterprise environment. The ideal candidate will have a passion for technology; possess the ability to create change and be the facilitator for this transformation. They will have experience tailoring software design, developing, and implementing of solutions in support of data quality and automation. They will need to understand the requirements of a project, test the performance of the infrastructure, and verify that the requirements have been successfully met. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL SENIORSHIP + Communication with internal and external business users on Sterling Integrator mappings + Making changes to existing partner integrations to meet internal and external requirements + Design, develop and implement solutions based on standards and processes that establish consistency across the enterprise data, reduce risks, and promote efficiencies in support of the organizational goals and objectives. + Diagnose and troubleshoot complex issues, restore services and perform root cause analysis. + Facilitate the review, vetting of these designs with the architecture governance bodies, as required. + Be aware of all aspects of security related to the Sterling environment and integrations INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of Seniorship within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + Bachelor's degree in Engineering, Statistics, Computer Science or other quantitative fields, required + 5+ years of IT experience + 4+ years' experience working with Sterling B2B Integrator, Sterling File Gateway, PCM (preferred) + 3+ years' experience with scripting to enable automation of standard activities (example: Ansible, Python, Bash, Java) + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions with the ability to develop custom setups. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

**_JOB TITLE:_** Data Engineer **_CAYUSE COMPANY:_** Cayuse Civil Services, LLC **_SALARY:_** $93,600-$119,800 The Data Engineer is responsible for designing, developing, and maintaining saleable data pipelines and architecture to support the client's business intelligence, analytics, and operational data needs. This position performs all duties and responsibilities in accordance with the Mission, Vision, and Core Values of Cayuse. **Responsibilities** + Assess feasibility and technical requirements for LINKS→DataLake integration. + Collaborate with OPH Immunization Program, OPH Bureau of Health Informatics and STChealth on data specifications and recurring ingestion pipelines. + Build and optimize ETL workflows for LINKS and complementary datasets (Vital Records, labs, registries). + Design scalable data workflows to improve data quality, integrity, and identity resolution. + Implement data governance, observability, and lineage tracking across all pipelines. + Mentor engineers, support testing, and enforce best practices in orchestration and architecture. + Document and communicate technical solutions to technical and non-technical stakeholders. + Other duties as assigned. **Qualifications** **Here's What You Need** + 3 years of experience in data engineering and/or data architecture + 2 years of experience with Python for ETL and automation (pandas, requests, API integration). + 2 years hands-on experience with SQL queries, stored procedures, performance tuning (preferable Oracle, SQL Server, MySQL) + 1 year experience with ETL orchestration tools (Prefect, Airflow or equivalent). + Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment. **Minimum Skills:** + Exceptional interpersonal skills with the ability to communicate in a clear, professional, and articulate manner. + Exceptional verbal and written communication skills. + Excellent organizational, analytical, and problem-solving skills with high-level attention to detail. + Proven ability to multitask and prioritize in a fast past environment with changing priorities; adaptable to change and a quick learner. + Must be self-motivated and able to work well independently as well as on a multi-functional team. + Ability to handle sensitive and confidential information appropriately + Proficient in MS Office, Word, Outlook, PowerPoint, and Excel. **Desired Qualifications:** + 5+ years of experience in data engineering roles + Experience integrating or developing REST/JSON or XML APIs + Familiarity with CI/CD pipelines (GitHub Actions, Azure DevOps, etc.). + Exposure to Infrastructure as Code experience (Terraform, CloudFormation). + Experience with data governance and metadata tools (Atlan, OpenMetadata, Collibra). + Public health/healthcare dataset or similar experience, including PHI/PII handling. + Familiarity with SAS and R workflows to support epidemiologists and analysts. + Experience with additional SQL platforms (Postgres, Snowflake, Redshift, BigQuery). + Familiarity with data quality frameworks (Great Expectations, Deequ). + Experience with real-time/streaming tools (Kafka, Spark Streaming). + Familiarity with big data frameworks for large-scale transformations (Spark, Hadoop). + Knowledge of data security and compliance frameworks (HIPAA, SOC 2, etc.). + Agile/SCRUM team experience. **Our Commitment to you / overview of benefits** + Medical, Dental and Vision Insurance; Wellness Program + Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) + Short-Term and Long-Term Disability options + Basic Life and AD&D Insurance (Company Provided) + Voluntary Life and AD&D options + 401(k) Retirement Savings Plan with matching after one year + Paid Time Off **Reports to: Program Manager** **Working Conditions** + Professional office environment. + Must be physically and mentally able to perform duties extended periods of time. + Ability to use a computer and other office productivity tools with sufficient speed to meet the demands of this position. + Must be able to establish a productive and professional workspace. + Must be able to sit for long periods of time looking at computer screen. + May be asked to work a flexible schedule which may include holidays. + May be asked to travel for business or professional development purposes. + May be asked to work hours outside of normal business hours. **Other Duties:** _Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice._ **_Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law._** **Pay Range** USD $93,600.00 - USD $119,800.00 /Yr. Submit a Referral (************************************************************************************************************************** **Can't find the right opportunity?** Join our Talent Community (********************************************************** or Language Services Talent Community (******************************************************** and be among the first to discover exciting new possibilities! **Location** _US-_ **ID** _103795_ **Category** _Information Technology_ **Position Type** _Full-Time Salary Exempt_ **Remote** _Yes_ **Clearance Required** _None_

Drive the infrastructure strategy alongside the rest of the DevOps team Be responsible for building, managing, and automating our AWS infrastructure Oversee the maintenance and growth of our data lakehouse infrastructure and implementation Champion security by adopting necessary tools and processes Provide leadership to the entire engineering team on various infrastructure and big data topics Identify and adopt high-level technologies, processes, and services that impact the organization on a system-wide scope Participate in the L2 rotation for engineering support Requirements 8+ years of experience as a DevOps Engineer 5+ years of experience with the AWS cloud platform, including proficiency with AWS SDK, AWS CLI/UI, and services such as VPC, Route53, Private and Public subnets, route tables, IGW, EC2 Instances, CloudFront, API Gateway, IAM, ELB, Autoscaling, CloudWatch, EFS, NFS, EBS, S3, RDS, Lambda, SQS/SNS, Kafka, Security groups, etc. 5+ years of experience with Terraform/Terragrunt 5+ years of experience with event processing infrastructure 2+ years of experience as a Data Engineer with Databricks, including data pipelines, Debezium, Spark, and data modeling Expert proficiency with Python Model serving experience Expert proficiency in deploying, maintaining, and scaling applications Proficiency with Docker, Kubernetes, and Serverless functions Expert proficiency in setting up CI/CD pipelines (tools/processes/governance) Experience creating and maintaining fully automated CI/CD pipelines for code deployment using tools such as Git, CircleCI, AWS Code build, and Code Deploy / Code pipeline Proficient with both Relational and Non-Relational databases Experience with Security vulnerability scanning tools (Guard Duty, Inspector) Experience building Monitoring dashboards and leveraging tools such as Cloudwatch, Datadog, and Sumologic

Designs and implements processes and solutions associated with a wide variety of data sets used for data/text mining, analysis, modeling, and predicting to enable informed business decisions. Gains insight into key business problems and deliverables by applying statistical analysis techniques to examine structured and unstructured data from multiple disparate sources. Collaborates across departments and with customers to define requirements and understand business problems. Uses advanced mathematical, statistical, querying, and reporting methods to develop solutions. Develops information tools, algorithms, dashboards, and queries to monitor and improve business performance. Creates solutions from initial concept to fully tested production and communicates results to a broad range of audiences. Effectively uses current and emerging technologies. KNOWLEDGE/SKILLS/ABILITIES * With limited supervision, the Sr. Analyst, Data is responsible for data compilation, data management, data analysis, and reporting * Extracts and compiles various sources of information and large data sets from various systems or applications * Set up process for monitoring, tracking and trending information and data using various systems or applications * Prepares well-organized, easily understood reports, analysis, and summary of findings for use by management * Assists in preparation of regularly produced reports to support executive decision-making * Researches and analyze report results identifying opportunities and trends * Works with internal, external and enterprise individuals as needed to research, develop, and document new standard reports or processes * Consolidates data from multiple sources, using industry-based tools or manually; able to process data effectively using Microsoft Excel * Supports management and other team members as requested on all things data related. * Supports Operations and Implementations of special projects * Responsible for analytics and reporting, acting as a Jr Project manager to oversee vendor implementations, coordinating data extractions, gathering requirements, supporting payment integrity teams, primarily fraud, waste and abuse. * Experience working on SQL, PowerBI, databricks. * Experience on ETL , healthcare specifically claims is highly preferred. JOB QUALIFICATIONS Required Education Associate degree or equivalent combination of education and experience Required Experience 3-5 years Preferred Education Bachelor's Degree or equivalent combination of education and experience Preferred Experience 5-7 years To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $77,969 - $141,371 / ANNUAL * Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. About Us Molina Healthcare is a nationwide fortune 500 organization with a mission to provide quality healthcare to people receiving government assistance. If you are seeking a meaningful opportunity in a team-oriented environment, come be a part of a highly engaged workforce dedicated to our mission. Bring your passion and talents and together we can make a difference in the lives of others. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

**Employment Type:** FullTime Remote **Department** Finance & Operations, Data **Compensation:** $160.1K - $188.1K - Offers Equity _At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here (****************************** _._ **Overview** We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. **About the Role:** As a Marketing Data Scientist at Confluent, you will be a key player in analyzing lead funnel efficiency, marketing measurement and pipeline management. In this role, you will collaborate with Marketing, Growth, Sales & Finance stakeholders. Your focus will include data exploration, conducting in-depth analyses, and generating actionable insights to optimize and sustain healthy marketing funnel. **What You Will Do:** + Identify high-impact opportunities through data exploration, and generate strategic insights by collaborating with cross-functional teams, contributing to improvement amongst top of the funnel conversion metrics. + Define marketing metrics to measure success, develop scalable reporting to monitor the health of our pipeline, and analyze drivers for company KPIs + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining marketing campaign and pipeline strategy + Design and execute A/B tests to measure the impact of product features and launches, providing insights that guide iterative improvements. + Provide deep understanding of customer journey phases, from awareness to conversion with expertise in analyzing metrics like ROI, CLTV etc. to identify opportunities for growth and optimization + Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making **What You Will Bring:** + 3+ years of experience in Data Science supporting a marketing function, preferably at a B2B SaaS company + Strong proficiency in data manipulation, especially using SQL (3+ years of experience) and a scripting language (Python/R) + Proficiency in data visualization and building dashboards with tools such as Tableau + Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders + Experience with marketing attribution models across a variety of channels (SEO, Paid Search, Social, etc.) and A/B testing frameworks + Exceptional problem solving skills and detail-oriented mindset + Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. **What Gives You an Edge:** + Familiarity with lead funnel, marketing attribution models, and marketing measurement using causal inference and other advanced analytical methods. + Understanding of the B2B Marketing Stack, Salesforce objects **Ready to build what's next? Let's get in motion.** **Come As You Are** Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Classification $65,000 + dependent on experience, Annual, Exempt 40 hours per week Hybrid Work Availability: Yes (expectation to be onsite in Grand Forks ND multiple times per week) The purpose of this Biostatistician is to serve the School of Medicine and Health Sciences Biostatistics Core to provide support to faculty, staff, and students who engage in research activities. This position will conduct statistical analyses, provide guidance on appropriate study design and statistical analyses, and support collaborative research activities. Duties & Responsibilities Conduct statistical analysis and supporting documentation. Develops and analyzes a variety of research data using statistical methods. Provides support and serves as a resource to PI's, faculty, clinical and translational researchers, other biostatisticians, programmers, and data analysts. Assists researchers in developing appropriate study protocols and computer analyses. Participates in the development and selection of appropriate statistical methods and tests, sample size calculations and creation of randomization schedules. Develops and validates statistical programs in R and/or SAS to support statistical analyses. Prepares statistical method sections for inclusion in study protocols, grants, and manuscripts. Provides interpretations of statistical results and prepares the relevant statistical sections for study reports, grants, and manuscripts. Prepares electronic files using appropriate formats for submission to regulatory agencies. Creates and maintains biostatistical documentation, including descriptions of methods, R or SAS programs and results. Coordination, management, and expansion of knowledge base of statistical support. Evaluates and proposes new statistical methods for data analysis. Participates in the development of standardization procedures for statistical functions. Reviews the design and content of database designs and data edit checks. Reviews and audits statistical analysis plans, R and SAS programs and statistical reports including tables, listings, and figures. Manages computer systems, writes programs, and trains others in the use of systems. Keeps abreast of the latest statistical modeling and computing tools. Required Competencies Advanced skills and understanding of MS Office Excel and PowerPoint. Proficiency using MS Word and Outlook. Proficiency in modern high level statistical languages such as R and SAS and in database management. Ability to collaborate effectively with project staff to meet shared goals and be dedicated to quality work. Strong problem-solving and decision-making skills Must demonstrate strong interpersonal skills, both verbal and written. Ability to work in a fast-paced environment, meeting deadlines and achieving project objectives. Ability to demonstrate organizational skills, prioritize, multi-task, take initiative, and to work both independently and as a part of a team. Ability to have grace under pressure and work efficiently under time constraints while producing high quality work product. Ability to travel occasionally to national, regional, or local events/meetings. Minimum Requirements Master's degree in statistics, biostatistics, computer science, or a related field. Three years of experience as a biostatistician, preferably in an academic setting. Successful completion of criminal history background check. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire. This position does not support visa sponsorship for continued employment. Preferred Qualifications One year experience analyzing longitudinal data in the context of a research study. Experience with advanced methods (e.g., survival curves, multiple imputations, propensity scores, geospatial analyses, etc.), manuscript and presentation preparation. Experience with SAS and R (proficiency with multiple statistical programs preferred). Experience in database software. Knowledge of additional specialized software (e.g. SQL, Python, ArcGIS, M-Plus, SUDAAN). Two years experience with health care claims or electronic health record (EHR) data analysis. To Apply Applicant is required to submit a cover letter and resume. Applicant materials must substantiate 3 years of experience as detailed in the minimum requirements. Please provide separate attachment detailing two examples of completed research projects that highlight your experience and skills. To ensure full consideration, application materials must be submitted by Friday, October 17th, 2025.