Senior Data Scientist - Product and Field Operations at Confluent in Boise, Idaho, United States Job Description With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day - we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day. One Confluent. One team. One Data Streaming Platform. Data Connects Us. About the Role: The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructure, metrics, insights, and models. Our outputs enable data-driven thinking and help optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within a high-growth company. We are looking for a highly skilled Product Analytics Leader with a background in consulting and a proven track record of managing stakeholder relationships. As a Senior Product Data Scientist at Confluent, you will be a key player in helping define the experiences and driving product strategy at Confluent. You will collaborate with our Product leadership team and cross-functional partners across the Data organization. You will use data and analysis to identify and solve product development's challenges, unlocking growth of our product adoption funnel. This role requires a strong blend of technical skills, strategic thinking and communication skills to influence product strategy and investment decisions. What You Will Do: + Collaborate with product managers, product engineers, and other stakeholders to define and measure success metrics for product features and initiatives. + Develop and maintain dashboards, reports, and visualizations to communicate key metrics and insights to stakeholders. + Utilize data to uncover trends, identify opportunities for growth, and drive strategic product decisions. + Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to improve product experience + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining Product strategy + Collaborate with other data scientists across our organization to share best practic To view full details and how to apply, please login or create a Job Seeker account

Intern-Procurement Data Scientist at Micron Technology, Inc. in Boise, Idaho, United States Job Description Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Description: As a Procurement Data Scientist Intern at Micron Technology Inc., you will be a key member of a cross-functional team responsible for developing and growing Micron's methods and systems for extracting data and enabling new data to provide new insight for our expanding data streams. In this role you will be collaborating with other Data Scientists, Procurement, Manufacturing, Engineering, and Data Mining teams to design and implement systems to extract data from Micron's business systems. You will also be responsible for transforming the data into actionable formats and, as needed, creating dynamic presentation layers for use by high-level engineers and managers throughout the company. Additionally, you will be creating new solutions, as well as supporting, configuring, and enhancing existing solutions. This role will be a key member of the Technology Development Procurement team that is responsible for supporting Global Category strategies and ensuring Micron's technology development is supported with the best cost and best performance possible. The successful candidate will have strong analytical and interpersonal skills and supply chain experience. Primary Duties & Responsibilities: Manage projects to conclusion, such as Supplier spend analysis and reporting, Supplier Business Award Process improvement, Cost Per Wafer target improvement. + Perform tasks that contribute to the development and enhancement of Procurement Data sources. + Interface with IT and other data scientists to resolve issues as they are discovered with automatic data uploads. + Provide ad hoc analysis for the Procurement team on spend data. Required Skills: Ability to visualize and explain raw data sets into usable conclusions is desired. + Must possess excellent written, verbal, presentation and communication skills. + Knowledge of lean principles and strong problem-solving skills (Value Stream Mapping, Statistical Process Control, Lean) would be an advantage. + Strong personal computer skills (excel, Power Bi, sharepoint). + Understanding of Cost of Ownership (CoO) elements desired. + Understanding of Procurement functions such as cost savings, target setting, negotiations. + Familiarity with Semicondutor Industry/Market. Experience & Education: + Currently pursuing a Bachelors Degree in Supply Chain, Data Science or related business degree. + Must be a current student, cannot graduate before September 2024. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on /careers/benefits . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. (To learn more about Micron, please visit /careers For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1-800-336-8918 (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. To view full details and how to apply, please login or create a Job Seeker account

Data Scientist Principal - Remote at Prime Therapeutics in Boise, Idaho, United States Job Description Our work matters. We help people get the medicine they need to feel better and live well. We do not lose sight of that. It fuels our passion and drives every decision we make. Job Posting Title Data Scientist Principal - Remote Job Description The Principal Data Scientist is an independent analytics professional who produces data-driven insights to make a positive impact on healthcare outcomes. They are responsible for designing and developing processes for analytic code development and optimization for machine learning, predictive modeling, and reporting for complex pharmacy and medical health insurance clinical programs and services (e.g., pharmaceutical manufacturer value based contracts, provider accountable care organization pharmacy metrics, medical policy, utilization management, medication adherence, and medication therapy management [MTM]) and quality metrics (e.g., URAC, HEDIS, PQA, and CMS star measures). This position may have direct supervisory responsibility for entry-level and mid- level analysts/data scientists. Responsibilities + Conceptualizesadvancedscientificmodeldesign,including advanced predictive modeling, with healthclaims data, applying statisticaltheoriesandmethodstosolve complex technicalproblems + Finalizemodel projectdeliverables andensurefindings are valid, reliable, and reproducible + Useand direct others in theuse of open-source data science tools to createandmaintain features, listings, tabulations, graphicalsummaries, andformal statisticalestimates andtests + Performanddirect othersintheperformanceofadvanced predictive modeling for clinical program development/enhancement + Develop automatedproduction analysis tools where appropriateand createproductionpredictivemodeling process for clinical programs + Mentor and coach less experiencedDataScientists and analysts;mayhavedirectsupervisionover exempt level employees + Otherdutiesasassigned Minimum Qualifications + Bachelor'sdegree instatistics,mathematics,epidemiology, + or relatedarea of study, or equivalent combination of educationand/orrelevantworkexperience;HSdiplomaor GED is required + 8 yearsofrelatedworkexperience withlargedata sets,SQL, open-source data science tools, and buildingpredictive models + Experience in leading collaborative coding, code review, and code documentation + Mustbe eligible towork inthe UnitedStateswithoutneed for work visa or residency sponsorship Additional Qualifications + Excellentverbalandwrittencommu To view full details and how to apply, please login or create a Job Seeker account

Senior Data Scientist - AI Services and Platforms at Highmark Health in Boise, Idaho, United States Job Description Company : Highmark Health Job Description : JOB SUMMARY Entirely Remote Work From Anywhere Role We are seeking an experienced data science specialist to join our AI Services and Platforms team and drive the development of innovative AI (generative and predictive) based solutions for our enterprise stakeholders. The ideal candidate will have a proven track record of success in applying Generative AI and Predictive AI to solve complex business problems and create new opportunities. This role will play a pivotal role in driving our organization's digital transformation by harnessing the power of Generative AI and data science to extract valuable insights from vast and diverse datasets. We are looking for an individual with a deep understanding of Generative AI techniques, as well as strong data science and problem solving skills. Candidates should also have a strong interest in research and development and be eager to explore new ideas and contribute to the advancement of AI and GenAI in the healthcare technology space. This role requires a professional dedicated to staying on top of the latest Gen AI research like RAG, fine-tuning, etc., and is adept at applying them to create innovative products and services. They will also be an excellent communicator and able to clearly articulate their findings to business stakeholders. ESSENTIAL RESPONSIBILITIES + Work directly with the business to understand their business processes and aims, then identify how analytical solutions could help deliver value for them. This would include being accountable for: + Outlining complex new use cases + creating high level impact estimates + Identifying data elements needed and where to get them (including proxies) + Assembling data sets independently using knowledge of Highmark operational and analytic data structures + Deliver the analytical solution to a complex business problem + Documenting objectives, assumptions and processes in line with our standards + Select and apply the appropriate advanced modeling/machine learning techniques to these data sets to deliver business insight, ensuring that the final analysis is well researched, accurate, and documented. This requires: Experience with a substantial number of advanced analytical techniques and proficiency in a few, evidenced by in-depth knowledge and delivery record (for example regression models, tree-based learning, neural networks, clustering techniques, natural language process To view full details and how to apply, please login or create a Job Seeker account

Senior Data Scientist, OCI Finance Analytics at Oracle in Boise, Idaho, United States Job Description Job Description ABOUT THE JOB Oracle Cloud Infrastructure (OCI) is one of the fasting growing businesses for the company. In OCI Finance, members of the Workload Health team are responsible for all aspects of cloud infrastructure financial planning, and modeling for a specific product family within the broader OCI ecosystem. We are a partner and trusted strategic adviser to the OCI Leadership team, advising on optimizing business economics while rapidly scaling. In this role, you will be part of the Workload Health finance team and work across the broader OCI finance organization, supporting your peers in navigating OCI's data warehouse and bringing forth metrics and insights that enable the team to make decisions. We are looking for someone with financial acumen and a passion for data manipulation, analysis, and presentation. Main Responsibilities include: + Serve as the data lead within the Workload Health team's OCI Finance Analytics function + Write and maintain robust code in SQL including extract, transform, and load (ETL) operations + Maintain OCI Finance Analytics schema and data pipelines, including creation of new data repositories and troubleshooting + Interface with data experts across the OCI organization to understand lineage and ensure we're sourcing the most appropriate data + Leverage Oracle Analytics Cloud tools to build dashboards of frequently used metrics and support user-base by evolving functionality and writing documentation + Lead and support ad hoc deep dives as needed for peer finance partners and senior leadership Responsibilities PREFERRED SKILLS & EXPERIENCE + Bachelor's degree with 5+ years experience in an analytics-focused finance role or business intelligence/data analysis. MBA or advanced data-focused degree a plus. + Advanced experience with SQL and high level of comfort with complex queries, including extract, transform, and load (ETL) + Experience with business intelligence or data visualization tools such as Oracle Analytics Cloud (OAC), Power BI, Tableau, Looker, etc. + Knowledge of Cloud Technology and Infrastructure concepts preferred but not required + Strong business/financial acumen and analytical skills + Ability to multitask with outstanding attention to detail + Proven track record of high performance and driving improvements within a business environment + Good inter-personal communication skills and a self-starter mindset About Oracle Cloud Infrastructure (OCI): Oracle set an ambitious goal in building its second-generation cloud infrastructure: to create an infrastructure that matches and surpasses the performance, control and governance of enterprise datacenters, while delivering the scale, elasticity, and cost-savings of public clouds. As a result, OCI is built from the ground up to be an Enterprise Cloud, equally capable of running traditional multi-tiered enterprise applications, high-performance workloads, and modern serverless and container-based architectures. OCI serves as the foundational layer for Oracle Autonomous Database, as well as for Oracle's platform and application services. It is designed to run any enterprise application and workload securely in the cloud. In a single offering, OCI combines the flexibility and cost benefits of a public cloud with the predictability and control of an on-premises environment. Click here ( to learn more about Oracle Cloud Infrastructure products and solutions. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the United States only Hiring Range: from $86,700 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, marke To view full details and how to apply, please login or create a Job Seeker account

Data Scientist - Digital Innovation and Technology Group - C at Guidehouse in Boise, Idaho, United States Job Description Job Family : Data Science & Analysis (Digital) Travel Required : Up to 10% Clearance Required : Ability to Obtain Public Trust What You Will Do : Will design and code data analytic models using AI/ML algorithms that will viewed and showcased by our clients. Responsibilities: + Building data analytic models using AI/ML algorithms as well as normalize data to achieve desired results + Translating user requirements to software designs or models + Reading and documenting source code What You Will Need : + Minimum Years of Experience: 0 years + Minimum Degree Status: Bachelor's degree (Must still be enrolled in an accredited undergraduate or graduate degree program in Fall 2023 and graduate by Summer 2024) + Must be able to obtain and maintain a Public Trust, Secret, or higher level of federal/government security clearance (US Citizenship is required for security clearance) What Would Be Nice To Have : + Degree/Majors Preferred: Business-related or information systems or computer science major + He/she must take direction well and be motivated self-starter. + He/she must have demonstrated analytical skills, strong communication skills, both written and oral and team work skills. + Fast learner. Team oriented. Energetic. + Basic knowledge of at least one of the following technologies: javascript/ nodejs - python - MySQL - CSS. + He/she should be proficient with MS Word, Excel, PowerPoint, Outlook. The annual salary range for this position is $65,600.00-$98,400.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: + Medical, Rx, Dental & Vision Insurance + Personal and Family Sick Time & Company Paid Holidays + Parental Leave + 401(k) Retirement Plan + Group Term Life and Travel Assistance + Voluntary Life and AD&D Insurance + Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts + Transit and Parking Commuter Benefits + Short-Term & Long-Term Disability + Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities + To view full details and how to apply, please login or create a Job Seeker account

Programmatic Risk Data Scientist 1 at Pacific Northwest National Laboratory in Boise, Idaho, United States Job Description Overview PNNL's Earth System Science Division enables energy independence and national security through leadership in earth systems science, engineering, and decision analytics. Our work focuses on solving complex problems in the dynamic Earth system. Our interdisciplinary scientists steward a breadth of efforts that encompass research on plants to groundwater science and coastal zones, to storm prediction. Our research focuses on understanding and mitigating operational risks at the interface of human and natural environments. This includes predicting the impacts of natural hazards and extreme climate events on Earth and human systems, along with the impacts of wildfire, flooding, sea level rise and storm surges. We focus on understanding and mitigating environmental contamination and increasing the resiliency, security and sustainability of water resources. We provide geointelligence through advanced sensing and data analytics to forecast complex system behaviors and operational performance to understand human-natural systems. This includes informed decision making and enhanced community resilience, advanced monitoring, and remote sensing of environmental systems for energy and national security. It also includes developing energy systems, including geothermal energy, sustainable oil and gas production, storage and utilization, along with carbon sequestration. Driven by a 'science-to-solutions' philosophy, we provide scientific leadership and technology to enhance national security, mitigate natural hazards and optimize disaster response. In the critical areas of energy, environment, intelligence, and defense, we deliver insights and decision support through the development of tools and solutions. Responsibilities We are seeking early-career data scientists who are smart, creative, and motivated to work with us on a variety of programmatic risk projects, preferably with demonstrated experience in quantitative risk modeling. The successful candidate will use their expertise in risk management and data modeling to have sufficient depth of understanding of uncertainty methods to be comfortable applying them to one or more applications, including risk, nuclear energy, resilience, climate change, national security, natural systems, regulatory compliance, and complex engineered systems. This Level 1 position is based on a candidate having conceptual knowledge and practical experience in data science, to use best practices to improve risk analysis products. The candidate should be able to solve straightforward problems, complete work with some guidance and direction from others, will continue to develop additional skill sets, uses additional procedures to solve standard problems, and works within PNNL's guidelines and policies to meet objectives. The successful candidate will be responsible for: + Conducting quantitative analysis, such as a schedule risk analysis or quantitative analysis using an in-house material production risk model. + Working independently with little to no oversite. + Developing or contributing to technical risk-related products within the required level of quality, timeliness, and cost guidelines provided by the project manager. + Effectively communicating uncertainty concepts and results, including contributing to the preparation of high-quality presentations and reports. Qualifications Minimum Qualifications: + BS/BA or higher Preferred Qualifications: + Degree in a technical field such as Mathematics. + Knowledge of and practical experience in use of quantitative risk models. + Knowledge of and practical experience in analysis methods including Monte Carlo analysis and Discreet Event Simulations (DES). + The successful candidate will have a broad range of skills and familiarity with several of the following areas: probability, statistics, risk analysis, risk elicitation, modeling and simulation, and mathematical modeling. + Past performance must demonstrate attributes of being self-motivated and self-directed. + In addition to analytical skills, a successful candidate will have excellent written and oral communications skills and experience in preparing and reviewing the results of technical reports. + Familiarity with Java, Python, Matlab, QGIS, and Github Hazardous Working Conditions/Environment Not Applicable. Testing Designated Position Due to business needs and client space, US Citizenship is required. Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements. About PNNL Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3-hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. Commitment to Excellence, Diversity, Equity, Inclusion, and Equal Employment Opportunity Our laboratory is committed to a diverse and inclusive work environment dedicated to solving critical challenges in fundamental sciences, national security, and energy resiliency. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. In support of this commitment, we encourage people of all racial/ethnic identities, women, veterans, and individuals with disabilities to apply for employment. Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at . Drug Free Workplace PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn. HSPD-12 PIV Credential Requirement In accordance with Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, new employees are required to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, sup To view full details and how to apply, please login or create a Job Seeker account

Full Stack Senior Data Scientist at Cardinal Health in Boise, Idaho, United States Job Description Fuse is on a mission to disrupt healthcare. Our focus on technology, design and a product mindset will help drive that disruption and establish Cardinal Health as a leader in healthcare technology. Fuse's innovation culture and modern product development teams power the evolution of our commercial products and spark the creation of new businesses and products. We leverage technology and insights across the enterprise to solve customer problems and forge new models. Design thinking drives our teams to imagine and invent the next horizon. It's more than technology innovation - it's creating new business models beyond our wildest dreams. With a strong leadership team setting the bar high, Fusers are challenged to bring their creativity, technical expertise and diverse perspectives to do the best work of their lives. The Full Stack Senior Data Scientist is a key role in the transformation of business. They will work closely with business stakeholders to understand their goals and determine how data science can be used to achieve those goals. They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments. Responsibilities Data Engineering + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model optimization, ML system architecture design, and scalable ML model deployment + Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. Data Science/Machine Learning + Designing and developing machine learning and deep learning solutions and systems. + Using statistical analysis to determine data modeling?approach, train To view full details and how to apply, please login or create a Job Seeker account

Data Scientist Idaho State Job Bank Jobs

Senior Data Scientist Product And Field Operations
September 5, 2024

Internprocurement Data Scientist
September 2, 2024

Data Scientist Principal Remote
August 25, 2024

Senior Data Scientist Ai Services And Platforms
August 13, 2024

Senior Data Scientist Oci Finance Analytics
August 13, 2024

Data Scientist Digital Innovation And Technology Group C
August 13, 2024

Programmatic Risk Data Scientist 1
August 13, 2024

Full Stack Senior Data Scientist
August 13, 2024

Quick filters

Top companies

Data Scientist Idaho State Job Bank Jobs

Senior Data Scientist Product And Field OperationsSeptember 5, 2024

Internprocurement Data ScientistSeptember 2, 2024

Data Scientist Principal RemoteAugust 25, 2024

Senior Data Scientist Ai Services And PlatformsAugust 13, 2024

Senior Data Scientist Oci Finance AnalyticsAugust 13, 2024

Data Scientist Digital Innovation And Technology Group CAugust 13, 2024

Programmatic Risk Data Scientist 1August 13, 2024

Full Stack Senior Data ScientistAugust 13, 2024