Data scientist jobs in Grand Forks, ND - 387 jobs

On-Demand Group is currently seeking for a Data Engineer for a 6-month contract engagement to start. Job Title: Data Engineer Job Location: On-site - any 4 office location, Minneapolis, MN, Arlington, VA, Portland, OR, Raleigh, NC Job Type: Contract to Hire Job Summary: The Senior Cloud Data Engineer plays a key role in designing, building, and maintaining data pipelines and infrastructure using Google Cloud Platform (GCP) BigQuery. The incumbent will collaborate with data analysts, data scientists, and other engineers to ensure timely access to high-quality data for data-driven decision-making across the organization. Responsibilities: • Design, develop, and implement data pipelines using GCP BigQuery, Dataflow, and Airflow for data ingestion, transformation, and loading. • Optimize data pipelines for performance, scalability, and cost-efficiency. • Ensure data quality through data cleansing, validation, and monitoring processes. • Develop and maintain data models and schemas in BigQuery to support various data analysis needs. • Automate data pipeline tasks using scripting languages like Python and tools like Dataflow. • Collaborate with data analysts and data scientists to understand data requirements and translate them into technical data solutions. • Leverage DevOps Terraform (IaC) to ensure seamless integration of data pipelines with CI/CD workflows. • Monitor and troubleshoot data pipelines and infrastructure to identify and resolve issues. • Stay up-to-date with the latest advancements in GCP BigQuery and other related technologies. • Document data pipelines and technical processes for future reference and knowledge sharing. Basic Requirements: • Bachelor's degree or equivalent experience in Computer Science, Mathematics, Information Technology or related field. • 5+ years of solid experience as a data engineer. • Strong understanding of data warehousing / datalake concepts and data modeling principles. • Proven experience with designing and implementing data pipelines using GCP BigQuery, Dataflow and Airflow. • Strong SQL and scripting languages like Python (or similar) skills. • Experience with data quality tools and techniques. • Ability to work independently and as part of a team. • Strong problem-solving and analytical skills. • Passion for data and a desire to learn and adapt to new technologies. • Experience with other GCP services like Cloud Storage, Dataflow, and Pub/Sub etc. • Experience with cloud deployment and automation tools like Terraform. • Experience with data visualization tools like Tableau or Power BI or Looker. • Experience with healthcare data. • Familiarity with machine learning, artificial intelligence and data science concepts. • Experience with data governance and healthcare PHI data security best practices. • Ability to work independently on tasks and projects to deliver data engineering solutions. • Ability to communicate effectively and convey complex technical concepts as well as tasks / project updates. The projected hourly range for this position is $70 to $80. On-Demand Group (ODG) provides employee benefits which includes healthcare, dental, and vision insurance. ODG is an equal opportunity employer that does not discriminate on the basis of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other characteristic protected by law.

Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally important you know that the company you choose to work at, and its leaders, will support and guide you. With a diversity of people, global locations, technologies, and products, 3M is a place where you can collaborate with other curious, creative 3Mers. This position provides an opportunity to transition from other private, public, government, or military experience to a 3M career. The Impact You'll Make in this Role As a Machine Learning/Vision Specialist - Process Data Scientist, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by: Integrating diverse data sources into a cohesive analysis framework using industry best practices and documentation. Driving advanced model adoption through rigorous understanding of the state-of-the-art data science methodologies. Collaborating with the Corporate Research Process Lab to develop and implement advanced algorithms for new process development of films, adhesives, nonwovens, and other high-value articles. Designing and integrating advanced data analytics schemes which may include predictive modeling, nonlinear analysis, sensor data integration, and machine vision techniques. Driving successful technology scale-up from laboratory to manufacturing and assisting with troubleshooting process and product quality issues. Effectively documenting, communicating, and disseminating research results through the framework of 3M's new technology and product introduction programs. Providing data science and machine vision expertise to support manufacturing operations and transfer technology to 3M's technical community through consulting and teaching. Your Skills and Expertise To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications: Bachelor's degree or higher in Chemical Engineering, Mechanical Engineering, Computer Science, Data Science, or Machine Learning/AI (completed and verified prior to start) from an accredited university. Additional qualifications that could help you succeed even further in this role include: A Master's or Ph.D. degree with demonstrated expertise in machine learning, data science, and machine vision. Strong understanding of data science techniques and theory, including machine vision. Ability to integrate diverse data sources into a cohesive analysis framework using industry best practices and documentation. Over 3 years of experience in machine learning, data science, and machine vision in a private, public, government, or military environment. Evidence of strong, hands-on skills with industrial data analysis including experience with data integration, programming, machine learning models, and machine vision systems. Experience with a wide range of programming languages including Python and C++. Skills relating to the following: machine learning model development, machine vision systems, open source software development, Linux, GitHub, cloud computing. Excellent interpersonal skills and the ability to excel in cross-functional environments. Work location: On site in Woodbury, MN Travel: May include up to 10% domestic Relocation Assistance: May be authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being 3M offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope. Chat with Max For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers. Applicable to US Applicants Only:The expected compensation range for this position is $141,150 - $172,517, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: ******************************************************************* Faith Posting Date Range 11/14/2025 To 12/14/2025 Or until filled All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.Learn more about 3M's creative solutions to the world's problems at ********** or on Instagram, Facebook, and LinkedIn @3M.Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.Pay & Benefits Overview: https://**********/3M/en_US/careers-us/working-at-3m/benefits/3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. 3M Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.

* Research, design, and implement ML and GenAI solutions for fragmented, large-scale, and unstructured datasets. * Develop data pipelines and workflows in Python for ingestion, transformation, and feature engineering. * Apply advanced techniques like RAG, LLM fine-tuning, and embedding optimization for improved performance. * Work with large databases, data warehouses, and integrate across multiple sources with ambiguity handling. * Deploy models using Azure, ensuring scalability and governance with MLOps best practices. * Conduct experimentation and A/B testing to validate hypotheses and optimize outcomes. * Collaborate with engineering teams for productionization and monitoring of models. * Drive continuous improvement through metrics-driven insights and iterative refinements Salary Range: $110,000 $140,000 Year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1

Data Scientist Foundational Model Science The Data Scientist for Foundational Model Science is the senior technical leader, and the lead scientist responsible for designing, training, and governing Mayo's multimodal foundational model. This model forms the core intelligence layer used by clinical departments, researchers, agentic workflows, and sovereign AI collaborations. The individual will work as a hands-on architect, model-builder, and researcher while acting as a player-coach, guiding strategy and building a future team. Key Responsibilities Scientific & Technical Leadership Design multimodal foundational model architectures integrating signals from imaging, text, waveforms, structured data, graph representations, and temporal embeddings. Develop fusion, alignment, and cross-modal reasoning mechanisms (early fusion, late fusion, token-level fusion, hybrid models). Define and implement methods for grounded clinical reasoning, retrieval-augmented inference, graph-augmented attention, and chain-of-thought verification. Establish protocols for model lifecycle governance, safe update cycles, drift-aware re-training, and provenance tracking. Hands-On Modeling & Training Train large-scale deep learning models, including multimodal architectures and domain-specific transformer-based systems, on real clinical datasets. Fine-tune and adapt large language models (LLMs) for clinical reasoning, summarization, question answering, agentic behavior, and instruction-following tasks. Build retrieval-augmented pipelines using embeddings, vector stores, graph traversal, and clinically grounded context construction. Develop evaluation methods for reasoning quality, temporal prediction accuracy, multimodal synergy, ablation-based robustness, and counterfactual behavior. Create reference-grounded training datasets, structured reasoning tasks, and multimodal benchmarks to evaluate model performance. Conduct hands-on experimentation with optimization strategies, large-scale distributed training, model quantization, and inference acceleration. Implement uncertainty modeling, selective prediction, abstention mechanisms, and clinically meaningful risk thresholds. Build interpretable reasoning pathways, cross-modal attribution maps, and reference-grounded explanations. Cross-functional Collaboration Work closely with the Representation team to ensure representation-model alignment. Partner with clinical SMEs to encode domain reasoning into reinforcement learning, preference optimization, or rule-guided behaviors. Team Leadership Serve as the future founding technical lead of the Foundational Model Science Program. Mentor scientists and engineers and eventually build a specialty modeling team. Required PhD in Machine Learning, Computer Science, Applied Mathematics, or related discipline with at least four years of informatics, Artificial Intelligence, data science and/or machine learning. Experience with generative modeling, reasoning models, or multimodal foundation models. Expertise in alignment methods (contrastive learning, RLHF/RLCS, preference optimization). Experience with distributed training, and large-scale compute. Preferred Experience with clinical or EMR data across multiple modalities. 7+ years experience training deep learning models, including transformers or multimodal architectures. Experience defining evaluation frameworks for reasoning, multimodal synergy, reliability, or fairness. Publications in multimodal learning, foundation models, or reasoning architectures.

Organizational Location: This position is with the Department of Homeland Security, within U.S. Customs and Border Protection, Office of Human Resources Management, People Analytics Division, in the following locations: * Indianapolis, IN * Minneapolis, MN * Washington D.C. Salary: Salary listed reflects the rest of U.S. scale and, if applicable, will be adjusted to meet the locality pay or cost of living expenses of the duty location upon selection. Summary Organizational Location: This position is with the Department of Homeland Security, within U.S. Customs and Border Protection, Office of Human Resources Management, People Analytics Division, in the following locations: * Indianapolis, IN * Minneapolis, MN * Washington D.C. Salary: Salary listed reflects the rest of U.S. scale and, if applicable, will be adjusted to meet the locality pay or cost of living expenses of the duty location upon selection. Overview Help Accepting applications Open & closing dates 01/13/2026 to 01/20/2026 Salary $61,722 to - $97,087 per year Pay scale & grade GS 9 - 11 Locations 2 vacancies in the following locations: Washington, DC Indianapolis, IN Minneapolis, MN Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Permanent Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Not Required Drug test No Financial disclosure No Bargaining unit status No Announcement number HRM-DE-12863509-SNM Control number 854179100 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Career transition (CTAP, ICTAP, RPL) Federal employees whose job, agency or department was eliminated and are eligible for priority over other applicants. Clarification from the agency U.S. Citizens, Career Transition Assistance Plan DHS employees, Reemployment Priority List, Interagency Career Transition Assistance Plan Federal Employees. Duties Help This position starts at a salary of $61,722.00 (GS-09, Step 1) to $97,087.00 (GS-11, Step 10) with promotion potential to $138,370.00 (GS-13 Step 10). Typical duties include: * Providing technical assistance and support to management through the application of advanced data science techniques including data extraction, transformation, cleaning, modeling, machine learning, and artificial intelligence (AI) to process and extract insights from structured and unstructured data and provide guidance for solutions to a variety of complex challenges to the Agency's Human Capital programs that have a significant impact on personnel decisions. * Supporting the application of quantitative, computer science, mathematical, and statistical skills to interpret extremely large and unstructured data sets, the results of which will be used for forecasting critical problems and making data-driven decisions regarding the administrative and programmatic aspects of HRM and CBP's operations and management. * Assisting in the development of innovative strategies on measurement of the design, development, deployment, maintenance, and enhancement of large-scale projects to analyze programmatic data and forecast the effects of alternative courses of actions and programmatic gaps. * Performing quantitative and qualitative analysis and data quality assurance using statistical, business intelligence, data analysis, and/or AI software and computer programs (e.g., R, Python, ChatGPT, PowerBI, Tableau, Cognos, SQL, Databricks). Requirements Help Conditions of employment * You must be a U.S. Citizen to apply for this position * Males born after 12/31/1959 must be registered with Selective Service * Primary U.S. residency for at least three of the last five years (additional details below) * All pre-employment processes will be conducted in English * You may be required to pass a background investigation * CBP follows the DHS Drug-Free Workplace Plan for drug testing procedures * As an employee of CBP, you will be joining a workforce that is dedicated to accomplishing our mission while maintaining the trust of our Nation by strictly adhering to all government ethics standards. Your conduct will be subject to the ethics rules applicable to all Executive Branch employees, and to CBP employees specifically, as well as the criminal conflict of interest statutes. Once you enter on duty, these rules include obtaining approval for outside employment or business activity, to ensure such employment or business activity is not prohibited and does not interfere or conflict with performance of your official duties. Please review further details via the following link. * DHS uses E-Verify, an Internet-based system, to confirm the eligibility of all newly hired employees to work in the United States. Learn more about E-Verify including your rights and responsibilities. * Bargaining Unit: This position is not covered under the bargaining unit. Qualifications Basic Requirement: You must provide supporting documentation in your application to show you meet the basic requirement below: A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. You qualify for this position if you meet the basic requirement listed above and possess the experience as described below: Experience: You qualify for the GS-09 grade level if you possess 1 year of specialized experience equivalent to at least the next lower grade level, performing duties such as: * Performing data quality assurance and quantitative and qualitative analysis using statistical software and programming languages such as R or Python. * Creating reports, briefings, and presentations that include data visualization and dashboards to communicate findings effectively. * Providing technical assistance and support to address challenges in human capital programs, including recruitment, hiring, and retention. * Assisting in the preparation of briefings, presentations, and reports for supervisors and higher-graded specialists to communicate findings and recommendations. * Communicating technical and analytical findings to individuals with varying levels of technical expertise. You qualify for the GS-11 grade level if you possess 1 year of specialized experience equivalent to at least the next lower grade level, performing duties such as: * Applying advanced data science techniques, including data extraction, transformation, cleaning, modeling, machine learning, and artificial intelligence (AI), to process and extract insights from structured and unstructured data. * Gathering, processing, and converting raw and unstructured data into clean, organized information for analysis. * Participating as a team member in the development of innovative strategies for large-scale projects to analyze programmatic data and forecast the effects of alternative courses of action. * Analyzing and interpreting data to identify programmatic gaps and develop solutions to improve organizational efficiency and productivity. * Providing technical assistance and support to address challenges in human capital programs, including recruitment, hiring, and retention. NOTE: Your resume must explicitly indicate how you meet this requirement, otherwise you will be found ineligible. Please see the "Required Documents" section below for additional resume requirements. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. You must meet all qualification requirements, including education if applicable to this position, subject to verification at any stage of the application process by 01/20/2026. The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office. Background Investigation: U.S. Customs and Border Protection (CBP) is a federal law enforcement agency that requires all applicants to undergo a thorough background investigation prior to employment in order to promote the agency's core values of vigilance, service to country, and integrity. During the screening and/or background investigation process, you will be asked questions regarding any felony criminal convictions or current felony charges, the use of illegal drugs (e.g., marijuana, cocaine, heroin, LSD, methamphetamines, ecstasy), and the use of non-prescribed controlled substances including any experimentation, possession, sale, receipt, manufacture, cultivation, production, transfer, shipping, trafficking, or distribution of controlled substances. For additional information on the preemployment process, review the following link: Applicant Resources | CBP Careers Residency: There is a residency requirement for all applicants not currently employed by CBP. Individuals are required to have physically resided in the United States or its protectorates (as declared under international law) for at least three of the last five years. If you do not meet the residency requirement and you have been physically located in a foreign location for more than two of the last five years, you may request an exception to determine if you are eligible for a residency waiver by meeting one or more of the following conditions: * Working for the U.S. Government as a federal civilian or as a member of the military * A dependent who was authorized to accompany a federal civilian or member of the military who was working for the U.S. government * Participation in a study abroad program sponsored by a U.S. affiliated college or university * Working as a contractor, intern, consultant or volunteer supporting the U.S. government Probationary Period: All employees new to the federal government must serve a one year probationary period during the first year of his/her initial permanent federal appointment to determine fitness for continued employment. Current and former federal employees may be required to serve or complete a probationary period. Education Please see the Qualifications and Required Documents sections for more information if education is applicable to this position. Additional information The vacancy questionnaire includes four short, free-response essay questions. This provides an opportunity for you to highlight your dedication to public service for the hiring manager and agency leadership (or designee(s)). While your responses are not required and will not be scored, we encourage you to thoughtfully address each question. Please provide a response of 200 words or less to each question. You will be asked to certify that you are using your own words and did not use a consultant or artificial intelligence (AI) such as a large language model (LLM) like ChatGPT or Copilot. To preview the questionnaire please visit: ******************************************************** Positions with known promotion potential do not guarantee promotion, nor is the promise of promotion implied. The Department of Homeland Security encourages persons with disabilities to apply, to include persons with intellectual, severe physical or psychiatric disabilities, as defined by 5 CFR § 213.3102(u), and/or Disabled Veterans with a compensable service-connected disability of 30 percent or more as defined by 5 CFR § 315.707. Veterans, Peace Corps/VISTA volunteers, and persons with disabilities possess a wealth of unique talents, experiences, and competencies that can be invaluable to the DHS mission. If you are a member of one of these groups, you may not have to compete with the public for federal jobs. To determine your eligibility for non-competitive appointment and to understand the required documentation, click on the links above or contact the Servicing Human Resources Office listed at the bottom of this announcement. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. If you meet the minimum qualifications, you will be placed in one of the following categories: * Best Qualified: Applicants possessing experience that substantially exceeds the minimum qualifications of the position and demonstrate high proficiency in all of the critical competencies, including all Selective Placement Factors (SPF), and appropriate Quality Ranking Factors (QRF) as determined by the job analysis. * Well-Qualified: Applicants possessing experience that exceeds the minimum qualifications of the position and demonstrates acceptable proficiency in all of the critical competencies, including all SPF's and appropriate QRFs as determined by the job analysis. * Qualified: Applicants possessing experience that meets the minimum qualifications of the position and demonstrate basic proficiency in most of the critical competencies, including all SPFs and appropriate QRFs as determined by the job analysis. Your resume and supporting documentation will be reviewed to ensure you meet the minimum qualification(s). Your resume must support that you meet both specialized experience requirements described in the qualifications section and are proficient in the skills/competencies. If you meet the minimum qualifications, your experience, education, and training will be rated using a Structured Resume Review process. Your final rating will be based on a Structured Resume Review conducted by Subject Matter Experts (SME). This Structured Resume Review requires that candidates resume must demonstrate the competencies noted below: * Technical Competence * Data Management * Reasoning * Technology Awareness * Data System Failure to demonstrate sufficient detail in the body of your resume may impact your final rating. Please note you are not required to provide specific narrative responses to the skills and competencies described in this section. If you are best qualified, you may be referred to the hiring manager for consideration and may be contacted for an interview. Veterans: Qualified veterans who have a compensable service-connected disability of at least 10% are listed in the best-qualified category, except when the position being filled is scientific or professional at the GS-09 grade level, or higher. This position is considered scientific/professional. Other 10 point preference eligibles and veterans with 5 point preference who meet the eligibility and qualification requirements are placed above non-preference eligibles within the category in which they qualify. View information on veterans' preference. Agency Career Transition Assistance Program (CTAP) and Interagency Career Transition Assistance Program (ICTAP) Eligibles: If you have never worked for the federal government, you are not CTAP/ICTAP eligible. View information about CTAP/ICTAP eligibilityon OPM's Career Transition Resources website. To be considered eligible under CTAP/ICTAP, you must be placed in the Well-Qualified category for this position, as described within this announcement. In addition, you must submit the supporting documents listed under the Required Documents section of this job announcement. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help * Your resume: A resume describing your job-related qualifications is required and will be used for the purpose of reviewing your qualifications and determining what training, if any, would be required when placed. A resume in English is required. It must contain your full legal name, phone number, relevant work history including a detailed description of your duties, the dates you performed those duties (MM/DD/YY), your hours worked per week, job title, as well as series, grade, and salary (if applicable). For additional required items, see the link above. It is recommended that you upload your resume as a PDF instead of a Word document to ensure document quality. Ensure that your uploaded resume is not a password protected document, to include Office 365 passwords. Limit your resume to no more than two pages. The USAJOBS database will not allow an applicant to submit an application that includes a resume over two pages. * Your responses to the job questionnaire: ******************************************************** * Your transcripts: All applicants are required to submit a copy of your college transcript (unofficial is acceptable at this time; however, official copies will be required prior to entrance on duty) or a list of coursework with hours completed provided from the institution. If you are a current CBP employee within the position series announced, transcripts will not be required at the time of application; however, education will be verified if you are selected and you may be required to submit transcripts at that time. Education must be from an institution accredited by an agency recognized by the U.S. Department of Education. Education obtained from a foreign university or college is not creditable unless it has been evaluated by an organization that specializes in interpretation of education credentials. Note: If submitting documentation of an evaluation, transcripts are still required. For a listing of some accrediting agencies, please see ********************************************************************** See ********************************************************************* for more information. * Are you claiming special priority selection rights under the Agency Career Transition Assistance Program (CTAP), Interagency Career Transition Assistance Program (ICTAP), or the Reemployment Priority List (RPL)? You must submit a separation notice; your most recent SF-50 (noting your current position, grade level and duty location); a copy of your most recent performance rating; an agency certification that you cannot be placed after injury compensation has been terminated; an OPM notification that your disability annuity has been terminated; or a Military Department of National Guard Bureau notification that you are retired under 5 U.S.C. 8337(h) or 8456; or RPL registration documentation. * Are you a veteran? To apply veterans' preference you must submit proof of eligibility as appropriate for your preference type: * Five Point Preference: DD 214 listing the character of service and either qualifying medal(s) or service period. * Ten Point Preference: DD 214 showing character of service and supporting documentation as listed on the Standard Form 15 (application for 10 Point Veterans' Preference). Submitting an SF-15 with your application is encouraged. Veterans with a service-connected disability must also submit a VA Disability Award letter dated 1991 or later, OR supporting documentation as listed in the SF-15. * If you are currently serving on active duty, you must submit a written statement from the armed forces certifying your dates of service, rank, expected character of service, and anticipated date of separation. If you apply with a written statement at this stage, your preference will be verified by a DD 214 upon separation from the military. * View more veterans' information. * Are you a current or former federal employee? If yes, it is recommended that you submit a copy of your SF-50(s) (Notification of Personnel Action) to support your experience. Examples of appropriate SF-50s include promotions, within-grade increases and accessions. Retired former federal employees are required to submit your retirement SF-50 and encouraged to submit your most recent annuity statement. * Are you a current or former political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee? Submit a copy of your initial and termination SF-50s. If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

Work closely with engineering and marketing teams to identify and answer important product questions to drive business growth. Create machine learning solutions for a diverse set of business problems. Employ structured approaches to leveraging large data sets to uncover new insights. Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. Present and defend results to leadership audiences, both technical and non-technical. Our team philosophy encourages knowledge sharing so you will contribute to the research community through technical papers and presentations published both internally and externally. Tech Stack SQL Python Jupyter Notebook (Optional) R script Experience & Qualifications Passion in modern technology and ability to work in a start-up environment. Efficient on Jupyter Notebook Good mathematic and algorithm background Strong influencing skills essential. Capable of assertively interacting with business stakeholders and counterparts in order to resolve day to day issues. Highly organized individual with attention to detail and excellent ability to execute on deliverables.

ABOUT Healthcare is seeking a skilled and innovative Data Scientist to help expand our predictive analytics capabilities and advance our mission to revolutionize hospital operations. This role will work at the intersection of AI/ML, healthcare, and operations to develop and scale machine learning models that deliver actionable insights to hospitals. Any salary range listed for this role represents an estimated base salary only and does not include bonuses, incentives, or other forms of additional compensation. ESSENTIAL FUNCTIONS: This class specification lists the major duties and requirements of the job and is not all-inclusive. Incumbent(s) may be expected to perform job-related duties other than those contained in this document and may be required to have specific job-related knowledge and skills. * Predictive Analytics Development: Build and refine machine learning models for ABOUT products including discharge forecasting, aggregate admission/discharge predictions, patient-level progress tracking, and next level of care predictions. * Data Exploration: Analyze complex healthcare datasets to identify trends, challenges, and actionable opportunities. * Model Deployment: Collaborate with engineers to deploy AI/ML solutions into production, ensuring reliability and scalability. * Collaboration: Partner with product managers, operations teams, and customers to define and implement data-driven features and metrics. * Feature Engineering: Work with AWS infrastructure (S3, Glue, Athena, Timestream, Bedrock, Nova, SageMaker) to contribute to feature pipelines and ensure data used for modeling is reliable, well-structured, and scalable. * LLMs: Demonstrate experience and depth in building products through applying LLMs or other AI domains like NLP, ML or deep learning. * Engineering-Aware Development: Capable of developing, testing, and operationalizing data science and LLM solutions in collaboration with engineering teams, with a strong understanding of production systems and software best practices. * Data Readiness & DevOps Collaboration: Partner with data engineering and platform teams to ensure data availability, quality, and readiness for modeling and analytics. Contribute to data transformations, feature pipelines, and validation logic required to support reliable AI/ML solutions. * Continuous Improvement: Optimize model accuracy and efficiency through testing, monitoring, and iteration. * Documentation and Communication: Present technical findings and recommendations to stakeholders in an easily understandable way. * Perform other duties as assigned. QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Need to Have: * Bachelor's in data science, Computer Science, Statistics, or related field (or equivalent experience). * 3-6+ years of experience developing and deploying machine learning models in production. * Proficiency in Python (or R), SQL, and common ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch). * Experience working with cloud technologies, particularly AWS (e.g., S3, Glue, Timestream, Bedrock, Nova, sage Maker). * Strong analytical skills and ability to interpret complex datasets. * Knowledge of ETL processes, feature engineering, and real-time forecasting methods. * Excellent communication skills with the ability to present technical concepts to non-technical stakeholders. * Working knowledge of software engineering and data engineering best practices (e.g., version control, testing, modular code, data pipelines), with demonstrated experience collaborating with engineering teams. Nice to Have: * Master's or PhD in Data Science, Computer Science, Statistics, or a related field * Experience in healthcare data analytics or hospital operations. * Familiarity with EHR/EMR data or healthcare interoperability standards. * Knowledge of time-series modeling and ensemble methods. * Exposure to data visualization tools (e.g., Tableau, Power BI). * Understanding of Agile methodologies and collaborative software development. Required Knowledge and Skills Required Knowledge: * Correct business English, including spelling, grammar and punctuation. * Medical Terminology * Health system operating and working models * Business planning and development Required Skills: * Using initiative and independent judgment within established department guidelines. * Contributing effectively to the accomplishment of team or work unit goals, objectives and activities. * Establishing and maintaining effective working relationships with a variety of individuals. PHYSICAL/MENTAL REQUIREMENTS: The physical demands described herein are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Mobility to work in an office setting, use standard office equipment and stamina to sit for extended periods of time; strength to lift and carry up to 10 pounds; vision to read printed materials and computer screens; and hearing and speech to communicate in person or over the telephone. Travel as needed to support company and customer initiatives. Work on Site at our St Paul office may be required and ABOUT reserves the right to change the location of the role at any time. This role may involve work on federal government contracts that require additional federal background investigations, training, and federal badging. As such, you may be required to submit personal information to the government and be fingerprinted and photographed at your local Department of Veteran Affairs Medical Center. ABOUT Healthcare is also an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. ABOUT Healthcare offers AI-enabled solutions to optimize patient throughput across the acute care journey from admission, through progression to discharge, aligning care transitions with clinical needs to improve patient flow and discharge efficiency with best practice workflows and actionable insights.

We at Best Buy work hard every day to enrich the lives of customers through technology, whether they come to us online, visit our stores or invite us into their homes. We do this by solving technology problems and addressing key human needs across a range of areas, including entertainment, productivity, communicating with coworkers and loved ones, preparing nutritious food, providing security for your home and family, and helping you take your health to the next level. As a Lead Data Scientist, you'll be responsible for applying innovative statistical and machine learning methods in a scientifically rigorous manner to dive into the largest and most complex data across the enterprise to answer the most difficult questions that are foundational to driving real-world value by offering deep insight into every aspect of the business. In this role, you will have the opportunity to lead the technical direction for the data science team on the most important strategic efforts to provide analytic thought leadership that drives a data-grounded perspective to help Best Buy think critically and differently about all aspects of our business to improve our core capabilities and unleash the next generation of customer experiences that will transform the way Best Buy operates day-to-day. What you'll do Leading the application of scientific methods to solve real-world business problems using data across multiple business domains Developing and implementing cutting edge statistical and machine learning methods to dig deep into complex data to deliver data-driven solutions across all areas of the business including market growth, retail portfolio, customer retention, services, etc. Employing broad and deep knowledge of statistics, analytics, and machine learning to contribute to and enhance Best Buy's core data science capabilities Leading discussions with business partners to identify the biggest opportunities to bring Best Buy to the next level and influence key decisions around real products that impact and improve the lives of millions of people Acting as a mentor for junior data scientists, assign tasks and review for quality and completion Conducting discussions with technical and non-technical product team members to determine feasibilities of recommended solutions. Collaborating with other engineers and product team members to implement and deploy scalable solutions. Presenting results of any analyses in a manner that is interpretable and technical approach of machine learning product design to team and leadership. Basic qualifications Bachelor's degree in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent experience. 6+ years of experience in data science, data analysis, data mining or other similar business functions. *Advanced degrees in relevant fields may be counted towards experience requirements. 2+ years of experience working in cloud platforms (GCP, AWS, Azure) Advanced proficiency with at least one data science/analytics programming language (Python, R, Julia) Advanced skills in data wrangling, validating data and solutions, supervised & unsupervised learning, AI & ML frameworks (PyTorch, TensorFlow), designing complex algorithms and statistical models, and applied mathematics & statistics Preferred qualifications Master's degree or Ph.D in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) Experience using high performance machine learning and/or data mining frameworks Experience building distributed data processing pipelines (e.g. Apache Spark, Apache Beam) 5-8 years hands-on data science experience (in addition to advanced degree) Ability to effectively communicate technical information to a wide spectrum of cross-functional team members What's in it for you We're committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life. Our benefits include: Competitive pay Generous employee discount Physical and mental well-being support About us As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life - in our stores, online and in customers' homes. Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.™ Best Buy is an equal opportunity employer.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists and Senior Data Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills What You'll Bring TECHNOLOGIES: Programming Languages: Python #BCGXjob Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Join a world-renowned institution where data science directly improves patient lives. At Mayo Clinic, Data Scientists turn complex, heterogeneous data into meaningful insights that enhance clinical care, accelerate scientific discovery, and strengthen the digital future of healthcare. This role partners closely with Data Science and Informatics faculty and serves as a technical thought leader-shaping the strategy, direction, and impact of data science across the enterprise. As a Data Scientist at Mayo Clinic, you will: Transform data into insight and insight into action, spanning the full spectrum from problem formulation and data acquisition to modeling, deployment, and interpretation. Provide strategic direction for data science and AI in a specialized domain-such as cancer, surgery, healthcare delivery, marketing, or planning services. Collaborate with enterprise leaders to advance Mayo Clinic's digital and analytics strategy. Work side‑by‑side with Informatics and IT teams to build data‑ and intelligence‑driven systems that address complex, high‑priority challenges. Recommend best practices for data collection, integration, and retention, incorporating technical, operational, and business needs. Support scientific and operational initiatives under the guidance of a senior data scientist or through full independent direction. Design and develop scripts, tools, and software applications that enable data extraction, management, and analysis across the organization. Deliver enterprise‑level consultative services, providing analysis and presenting findings to leadership and multidisciplinary stakeholders. In Generative AI, a Data Scientist will lead and execute Gen AI/Agentic based approaches Key Responsibilities Partner with multidisciplinary teams to create innovative approaches for data‑driven decision‑making. Lead exploration of next‑generation AI/ML approaches to solve complex analytical problems across diverse domains. Apply deep expertise in data science methods, data types, and scientific challenges to help shape new products, experiences, and technologies. Guide and mentor data science staff, ensuring high‑quality analysis, unbiased recommendations, and alignment with strategic priorities. Develop analytics tools and solutions that can be used effectively by non‑technical staff. • PhD in a domain relevant field (mathematics, computer science, statistics, physics, engineering, data science, health science, or a related discipline) Plus • At least four years of experience in data science, machine learning, AI, or informatics What You Bring A blend of deep technical expertise and strong business acumen, with a proven ability to lead technical or quantitative teams. Demonstrated success developing predictive and prescriptive models using advanced statistical modeling, machine learning, or data mining. Experience applying problem‑solving frameworks, planning methods, continuous improvement approaches, and project management techniques. Ability to independently manage multiple high‑impact projects in a dynamic environment, staying current with healthcare trends and enterprise priorities. Exceptional interpersonal skills-presentation, negotiation, persuasion, and written communication. Strong time‑management skills and the ability to prioritize, organize, and delegate effectively. Expertise in scientific computing, data management packages, data modeling, and data exploration tools. A consulting mindset: the ability to identify challenges, recommend solutions, deploy analytics tools, and support non‑technical users. Demonstrated initiative in areas such as training, software development, education, and technical documentation. Proven ability to provide vision and strategic direction at the departmental, institutional, or enterprise level. Preferred publications in high impact factors

**Who Are We?** Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. **Job Category** Data Science **Compensation Overview** The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. **Salary Range** $161,400.00 - $266,300.00 **Target Openings** 1 **What Is the Opportunity?** As a Staff Data Scientist, you will build complex models that solve key business problems to support underwriting, risk control, and business operations. This may include the use of the most advanced technical tools in the data science practice, allowing you to develop sophisticated solutions that enhance risk segmentation, streamline decision-making processes, and drive operational excellence across these critical business functions. **What Will You Do?** + Lead business or technical projects focused on the design or development of analytical solutions. + Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding. + Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews. + Begin to challenge conventional thinking where appropriate. + Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view. + Guide technical strategy of teams through own technical expertise. + Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts. + Communicate analysis, insights, and results to team, peers, business partners. + Partner with cross-functional teams and leaders to support the successful execution of data science strategies. + Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. + Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community. + Perform other duties as assigned. **What Will Our Ideal Candidate Have?** + Subject matter expertise in modeling/ research/ analytics or actuarial required + Subject matter expertise in value creation and business model concepts + Subject matter expertise in multiple statistical software programs + Ability to develop highly complex models, interpret model results and recommend adjustments + Expertise in advanced statistics underlying data models + Ability to apply emerging statistical procedures to complex work + Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. **What is a Must Have?** + Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience. + Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. **What Is in It for You?** + **Health Insurance** : Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. + **Retirement:** Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. + **Paid Time Off:** Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. + **Wellness Program:** The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. + **Volunteer Encouragement:** We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. **Employment Practices** Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email (*******************) so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ******************************************************** .

Accenture is looking for a Data Scientist for Accenture Strategy & Consulting - AI&Data practice in Oslo. Description of the role and practice Accenture Strategy & Consulting enables leaders to act quickly and confidently as they look to the future. Within AI & Data, we help our clients transform their business through data, analytics and AI. Besides strategic business advisory we are also the world's largest team of data scientists, data engineers, and experts in machine learning and AI. We believe a mix of data, analytics, automation, and responsible AI can do almost anything-spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Read more about the team here. In your role you will: * Serve as a trusted consultant by integrating advanced analytics into business operations to address complex client challenges. * Develop and deploy tailored analytics solutions that generate actionable insights for a wide range of client needs. * Collaborate closely with clients to understand their unique business problems and deliver impactful data-driven recommendations. * Play a key role in transforming business strategies using data science expertise within Accenture's AI & Data practice. * Bring detailed and comprehensive industry knowledge and experience to support delivery of client projects. Qualification Job qualifications To succeed in this role, we expect you to have: * MSc or PhD in a relevant field (e.g., Statistics, Data Science, Computer Science, Mathematics, Physics) * Ability to translate analytics into business impact, prioritize use cases, and communicate insights clearly while collaborating with stakeholders. * Experience with cloud platforms (AWS, Azure, GCP) and data/AI tools (Databricks, Snowflake) * Proficiency in Python/R and SQL for data science tasks * Knowledge of data engineering basics, data modeling, and data management * Hands-on experience in data wrangling, exploratory analysis, and advanced analytics * Familiarity with BI tools (Power BI, Tableau, Qlik) for interactive visualizations * Understanding of enterprise-level data and AI strategy * Excellent English communication skills; proficiency in a Nordic language is a plus What we offer: * Great development opportunities to build your professional career based on your own aspirations, having support from your own mentor. * Access to comprehensive tools and frameworks supported by our global organization - including methodologies, knowledge databases, expert networks, and benchmarks * Early leadership roles with an overview of engagements and sub streams * Work alongside our clients in their organizations and drive comprehensive, meaningful, and transformative projects * Competitive salary terms, bonus program, health insurance and fringe benefits * Work-life balance: good arrangements to combine free time and family life with work. We offer active support for mental health. * Personal Mentor to guide your growth and career within Accenture´s global possibilities * Market-leading expertise and talented colleagues to work alongside About Strategy & Consulting: Through deep industry expertise, analytics and insights, we empower clients to survive and thrive in the new, the now and the unknown. To stay agile in a world dominated by change, the C-suite must keep the core business running while simultaneously identifying and investing in the new. Accenture Strategy & Consulting enables leaders to act quickly and confidently as they pivot to the future. Known for our ability to execute at speed, we help clients determine clear, actionable paths to competitive agility by bringing them new thinking on business and technology. Accenture Strategy & Consulting consists of a wide range of business functions and industry groups. Read more about our business functions and industries here. Does this appeal to you? Please apply online and attach both your CV and application letter, preferably also your grade transcripts. We review applications on an ongoing basis however you might experience some delays in feedback during the vacation period. We will continue reviewing applications first week of January. For questions related to the role or team: Ragnar Wisløff - AI & Data lead Norway - **************************** For questions related to the recruitment process: Therese Bals - Recruiting Lead - ************************** Visit us at our homepage: Accenture | Let there be change Locations

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing and more. Here you'll find the finest technological pioneers: Datasite, Blueflame AI, Firmex, Grata, and Sherpany. They all, collectively, define the future for business growth. Apply for one position or as many as you like. Talent doesn't always just go in one direction or fit in a single box. We're happy to see whatever your superpower is and find the best place for it to flourish. Get started now, we look forward to meeting you.. Job Description: As a Principal Data Scientist, you will be the technical lead and primary "engine" of our data science initiatives. Reporting to the Director of Data Science, you are a high-level individual contributor responsible for solving our most complex, abstract business problems through advanced mathematical modeling. You will lead the end-to-end development of "Data Intelligence Products" - from high-dimensional forecasting and financial risk engines to ML-driven revenue optimization. While this is an IC role, you will set technical standard for the department, acting as a mentor to junior analysts and an architect for our predictive ecosystem. Responsibilities 1. Advanced Technical Execution (The Engine) Elite Predictive Modeling: Lead the research, design, and deployment of sophisticated models for time-series revenue forecasting, unit economics, and profitability. Risk & Uncertainty Quantification: Develop advanced statistical tools to predict financial risk and operational volatility, providing the business with probabilistic guardrails. Algorithmic Innovation: Move beyond standard libraries to build custom ML solutions that address the specific nuances of our finance and project data. Experimental Design: Architect rigorous A/B and multivariate testing frameworks to measure the causal impact of business decisions and product iterations. 2. Technical Architecture & Productization (The Bridge) Model Orchestration: Partner with the Data Engineering team to design the "last mile" of ML deployment-ensuring your models run reliably within our Snowflake/dbt environment. Seamless Integration: Ensure model outputs are elegantly integrated into Power BI semantic models, turning complex statistical distributions into actionable business signals. Code Excellence: Set the bar for the Data Science "Playbook," establishing rigorous standards for reproducible research, version control, and model validation. 3. Strategic & Technical Leadership (The Growth) Discovery & R&D: Proactively identify opportunities for ML/AI to drive ROI, staying ahead of industry trends in LLMs, deep learning, and predictive analytics. Abstract Problem Solving: Take high-level business queries from the Director or C-suite and translate them into mathematically sound, executable project plans. The Intelligence Stack: Expert-level mastery of Python and SQL. Extensive experience deploying production-grade models within a cloud environment (Snowflake preferred). The Ideal Candidate Profile Technical Mastery The ML Toolbelt: Deep expertise in the Python Data Science stack (e.g., scikit-learn, XGBoost, LightGBM) and deep learning frameworks (e.g., PyTorch or TensorFlow). Predictive Expertise: Deep experience in time-series forecasting, supervised learning, and causal inference. Time-Series & Forecasting: Mastery of libraries dedicated to financial and demand forecasting, such as Prophet, statsmodels, or sktime. MLOps & Deployment: Experience with model lifecycle management tools (e.g., MLflow, Weights & Biases) and deploying models via containers (Docker/Kubernetes) or as serverless functions. Statistical Logic: You don't just run models; you understand the "why" behind the math and can defend your methodology to technical and non-technical audiences. Mathematical Depth: Deep expertise in supervised/unsupervised learning, Bayesian statistics, time-series analysis, and causal inference. Generative AI & LLMs: Working knowledge of integrating LLMs (via LangChain, OpenAI API, or Hugging Face) into business workflows for unstructured data analysis. The Modern Data Stack: Proficiency in using Snowflake as a feature store and dbt for feature engineering. Business & Leadership Skills Finance Acumen: You understand the levers of a P&L and how predictive modeling impacts revenue and margin. Communication: Exceptional ability to simplify complex "black box" concepts for executive stakeholders. Qualifications 8-10+ years of experience in Data Science, with a track record of delivering high-impact predictive models in a corporate or production environment. Proven IC Leadership: Experience as a staff or principal-level contributor who has successfully led large-scale technical projects from concept to deployment. Modern Stack Experience: Deep familiarity with the Snowflake + dbt + Power BI ecosystem is a significant advantage. Proven track record of building and deploying predictive models using Python and SQL that achieved high business adoption. Toolkit Expertise: Hands-on experience with ML orchestration tools and automated testing for model performance (e.g., monitoring for Data Drift and Model Decay). Cloud Infrastructure: Experience with cloud-based ML platforms (e.g., Azure ML, AWS SageMaker, or Databricks) and how they integrate with data warehouses like Snowflake. Advanced Education: PhD or Master's degree in a highly quantitative discipline (e.g., Physics, Mathematics, Statistics, Computer Science, or Economics). The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate's compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time. $117,500.00 - $206,700.00 Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.

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.

VIDA Diagnostics is a leading player in the field of medical imaging data analytics, dedicated to supporting cutting-edge medical research through advanced data-driven solutions. We are seeking a highly skilled Senior Data Scientist to lead our data discovery and experimentation design efforts in collaboration with internal and external partners. If you are passionate about accelerating scientific discovery through data-driven insights, we want to hear from you. This position can be flexible on location of candidate within the United States. Position Overview: As the Senior Data Scientist, you will play a crucial role in our dynamic team, responsible for designing, developing, and optimizing data platforms and algorithms that drive groundbreaking insights into the field of medical research. You will work in close collaboration with imaging analysts, scientists, data and software engineers to develop and implement data analysis solutions and that advance scientific knowledge and innovation. Key Responsibilities: Research Hypothesis Definition: Formulate and refine research hypotheses to extract meaningful insights from a vast medical imaging and measurements data lake. Data Exploration and Analysis: Conduct in-depth data exploration and analysis using advanced statistical techniques and machine learning algorithms. Model Development and Evaluation: Build, train, and evaluate state-of-the-art machine learning models, including deep learning architectures, to address specific research questions and clinical challenges. AI/ML Solution Development: Contribute to the development and evaluation of AI/ML solutions that have a significant impact on clinical trials with relevant metrics. Cloud Operations: Collaborate with cloud engineers to deploy and manage machine learning models in a scalable and efficient cloud environment. Mentorship and Collaboration: Provide guidance and mentorship to other scientists in the team and collaborate effectively with cross-functional teams. Required Qualifications: Bachelor's in Computer Science, Statistics, Data Science, or a related field. Proven expertise in Python programming, common machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience in conducting independent research and publishing scientific papers. Expertise in big data technologies, including Lakehouse architectures, Trino, Data Bricks Delta, efficient querying and distributed computing. Ability to analyze complex problems, identify solutions, and communicate findings effectively. Excellent interpersonal and communication skills to work effectively in a collaborative team environment. Preferred qualifications: Master's degree or Ph.D. in Computer Science, Statistics, Data Science, or a related field. A solid understanding of medical imaging and measurements data, including relevant clinical concepts and methodologies. Excellent knowledge of main branches of AI (GenAI, DL, ML, RL) Experience with Cloud infrastructures (AWS, GCP, Azure). Experience with Docker, Kubernetes, MLFlow and Argo. All VIDA employees expected to be flexible and have an entrepreneurial mindset. Other duties may be assigned as needed. VIDA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.

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

Who We Are Since 1955, we have been on a mission To Passionately Feed Millions Daily with High Quality Food People Enjoy! We are a third-generation family-owned and professionally managed organization with a commitment to strategic growth. We continue to be successful because of talented people, just like you, who choose to join our family and call E.A. Sween home. We pride ourselves on fostering a welcoming, respectful, and rewarding culture where employees are encouraged to bring their whole selves to work each and every day. At E.A. Sween, our team members are seen, heard, and appreciated not just for what they do, but for who they are. We hope you'll join us! What We're Seeking As a Senior Data Engineer you will lead the design, development, and optimization of our data infrastructure, with a strong focus on integrating and visualizing data using JD Edwards (JDE) and EDI. This hybrid role combines the responsibilities of a Senior Data Engineer with advanced data integration skills, playing a key part in both the strategic direction and hands-on implementation of data systems that support the organization's growing needs. You will work alongside other senior engineers and cross-functional teams to build scalable, reliable, and secure data solutions. Compensation: The target salary range for this position is $94,810.51 - $115,000.00 annually, consistent with our internal compensation framework. This position is classified as Grade 16, with a full pay range of $94,810.51 to $150,352.02. You are eligible for an incentive bonus up to 10% of your annual salary, prorated based on your start date. Final pay will be determined by your experience, skills, internal equity, and available budget. What You'll Do (Responsibilities) Lead the design and implementation of advanced data pipelines and infrastructure to support the integration of ERP data from JD Edwards and other systems. Collaborate with business intelligence, analytics, and engineering teams to define data requirements and deliver data solutions that drive business value. Oversee the development and optimization of ETL processes, ensuring seamless data flow and integration, particularly with JD Edwards for ERP data. Develop and integrate complex data solutions using EDI to facilitate smooth data exchange across systems. Establish and enforce data governance, security, and quality standards to maintain data integrity and privacy across all platforms. Automate and streamline data workflows, integrating new technologies and data sources into the existing architecture. Perform detailed data profiling, validation, and cleansing to ensure high-quality, consistent data for business intelligence and reporting. Take initiative to address data-related issues directly and support cross-functional teams when challenges arise. Troubleshoot and resolve data-related issues, offering guidance and mentorship to junior engineers. Actively support team members by stepping in when needed to ensure projects stay on track and deliverables meet business expectations. Lead the design and development of reporting and dashboard solutions using Power BI, ensuring alignment with business needs. Continuously optimize data pipelines for performance, scalability, and reduced latency. Mentor junior data engineers, providing technical expertise, leadership, and support to foster a collaborative and high-performing team environment. Collaborate with data architects and senior engineers to ensure that data infrastructure remains scalable, sustainable, and aligned with business goals. Maintain thorough documentation for data models, processes, and systems, ensuring clarity and continuity. Demonstrate accountability by addressing issues head-on and owning outcomes in your work and within the team. What You'll Need (Qualifications) Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field (Master's degree is a plus). At least 5-7 years of experience in data engineering or a related technical role, with strong expertise in data integration and system architecture. Proven experience with JD Edwards, particularly in extracting and transforming ERP data. Strong experience with EDI processes and technologies for seamless data integration. Proficiency in programming languages such as Python, Java, SQL, and other relevant tools for data engineering. Extensive experience with ETL processes, data integration, and pipeline automation. Advanced knowledge of business intelligence tools, especially Power BI, for designing reports and dashboards. Solid understanding of data warehousing, data lakes, and real-time data streaming. Excellent problem-solving, analytical, and troubleshooting skills. Strong communication and interpersonal skills, with the ability to work across teams and manage stakeholder expectations. Demonstrated ability to step in and support team members when needed, as well as independently take ownership of resolving issues. Proven track record of mentoring junior team members and providing leadership within a collaborative environment. Flexibility to adapt to evolving technologies and new business requirements. How You'll Find Success at EAS Value People Most of All: Show respect & care, embrace diversity, and empower others. Commit to Safety Everyday: See something say something do something, practice safe behavior, and celebrate safety success. Invest in Our Company to Thrive: Share ideas to improve, learn & grow, and embrace change. Think Before Doing And Act Decisively: Make thoughtful decisions, work together to find solutions, and do what's right. Welcome Constructive Straight Talk: Be honest and respectful even when difficult, be open to ideas and feedback, and ask questions to understand. Serve Up Exceptional Experiences: Provide value to customers, take pride in your work, and help others to be successful. Enjoy What You Do!: Have a positive attitude, Live the Spirit of E.A. Sween, and celebrate success.

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 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. You will work with other Data Engineers and Sr. Data Engineers on designing, implementing, and testing data pipelines. Your key responsibilities are:Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform datasets from multiple sources. Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries. Data Quality & Governance: follow 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. Required Qualifications2+ years of applicable work experience Proficiency in Python, specifically with ETL pipelines Strong proficiency in SQL and experience in developing complex queries Experience deploying data pipelines in a cloud environment (any of Azure, AWS, GCP) Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists and analysts. Preferred QualificationsExperience working with healthcare data, especially Epic. Experience using GCP's BigQueryKnowledge of data governance best practices in a cloud environment. Experience working with Machine Learning processes. EducationCollege degree or certification in related fields Anticipated Weekly Hours40Time TypeFull time Pay RangeThe typical pay range for this role is:$64,890. 00 - $173,040. 00This 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 ************* cvshealth. com/us/en/benefits We anticipate the application window for this opening will close on: 01/23/2026Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Science Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $161,400.00 - $266,300.00 Target Openings 1 What Is the Opportunity? As a Staff Data Scientist, you will build complex models that solve key business problems to support underwriting, risk control, and business operations. This may include the use of the most advanced technical tools in the data science practice, allowing you to develop sophisticated solutions that enhance risk segmentation, streamline decision-making processes, and drive operational excellence across these critical business functions. What Will You Do? * Lead business or technical projects focused on the design or development of analytical solutions. * Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding. * Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews. * Begin to challenge conventional thinking where appropriate. * Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view. * Guide technical strategy of teams through own technical expertise. * Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts. * Communicate analysis, insights, and results to team, peers, business partners. * Partner with cross-functional teams and leaders to support the successful execution of data science strategies. * Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. * Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community. * Perform other duties as assigned. What Will Our Ideal Candidate Have? * Subject matter expertise in modeling/ research/ analytics or actuarial required * Subject matter expertise in value creation and business model concepts * Subject matter expertise in multiple statistical software programs * Ability to develop highly complex models, interpret model results and recommend adjustments * Expertise in advanced statistics underlying data models * Ability to apply emerging statistical procedures to complex work * Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. What is a Must Have? * Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience. * Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. What Is in It for You? * Health Insurance: Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. * Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. * Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. * Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. * Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit *********************************************************