Post Job

Data Science Internship Jobs in Tigard, OR

- 122 Jobs
All
Data Science Internship
Data Scientist
Data Analyst
Data Analyst Internship
Business Analyst Internship
  • Electronic Data Interchange Analyst

    LHH 4.3company rating

    Data Science Internship Job In Portland, OR

    Job Title: EDI Analyst Compensation: $80k-100k Job Purpose: We are seeking a skilled EDI Analyst to join our clients team in Portland, OR. A successful candidate will play a pivotal role in managing electronic data interchange (EDI) processes, ensuring seamless data integration, and optimizing data flows to meet business needs. This role involves troubleshooting issues, enhancing EDI processes, and collaborating with cross-functional teams to onboard new partners and ensure compliance with industry standards. Key Responsibilities: Manage and support EDI integrations to ensure smooth data exchange with internal and external partners. Troubleshoot and review EDI transactions to ensure compliance with business rules and industry standards. Collaborate with internal teams (sales, operations, IT) to gather business requirements and translate them into actionable EDI specifications. Onboard new trading partners, configure data mapping rules, and test data exchange processes. Develop error reports, notifications, and data validation processes to address discrepancies. Assist in system administration, troubleshooting, and support related to EDI systems. Monitor EDI transactions for accuracy and compliance, providing regular reporting and analysis on system performance. Contribute to continuous improvement efforts for EDI processes and participate in cross-departmental initiatives. Required Skills and Qualifications: Strong understanding of EDI concepts, including X12 and EDIFACT, with experience in data mapping and integration. Proficiency in EDI platforms (e.g., TrueCommerce, SPS Commerce, Rithum) and experience with FTP, SFTP, and AS2 for file transfer methods. Knowledge of data validation, error handling, and system administration. Experience with MS SQL queries and Python programming for automation and data analysis. Strong communication and collaboration skills to work with cross-functional teams. Excellent data analysis and problem-solving abilities, especially in the context of data discrepancies and EDI-related issues. Strong knowledge of system and data quality assurance best practices and methodologies. Preferred Skills: Experience with Microsoft Dynamics for Finance and Supply Chain Operations. Basic understanding of Python development language. Ability to work with EDI data converted to CSV and XML data formats. Familiarity with REST API. Personal Attributes: Strong communication, listening, and interpersonal skills. Highly self-motivated with a keen attention to detail. Ability to prioritize and manage tasks effectively in a high-pressure environment. Experience working in a collaborative, team-oriented setting.
    $80k-100k yearly 1d ago
  • Data Analyst - Supply Chain

    Brickred Systems 3.7company rating

    Data Science Internship Job In Beaverton, OR

    We are seeking a skilled Data Analyst to support and build data products within the Marketplace Supply Chain domain. The ideal candidate will have strong analytical skills, experience in SQL, data modeling, and stakeholder management, and the ability to drive insights from complex datasets. Prior experience with clients Supply Chain and SAP S4 modules (Supply & Demand, Transportation) is highly preferred. Key Responsibilities: Data Analysis & Insights Analyze complex business problems using data from internal and external sources. Identify and interpret trends and patterns to inform business strategy. Use data mining and statistical analysis to extract insights and identify correlations. Data Product Development & Reporting Develop forecasts, recommendations, and strategic plans based on business data. Create Source to Target Mapping (STM) for data products, reports, and analysis. Develop SQL queries and data visualizations for ad-hoc analysis and reporting needs. Validate key performance indicators (KPIs) and build queries to measure performance. Stakeholder Collaboration & Communication Work closely with stakeholders to understand requirements and develop sustainable data products. Document and communicate system and analytics changes in a business-friendly manner. Data Governance & Quality Assurance Develop data governance standards from data ingestion to product dictionaries and documentation. Monitor data quality and provide recommendations for removing corrupt data. Ensure data integrity, unit testing, and quality control in reporting and analysis. Requirements: Technical & Analytical Skills Strong analytical and problem-solving abilities. Proficiency in SQL and data visualization tools (Power BI, Tableau, etc.). Experience with data modeling techniques and building models. Knowledge of data mining, statistical analysis, and high-volume data processing. Business & Communication Skills Ability to translate complex data insights into business-relevant language. Strong stakeholder management and ability to work independently. Experience in documenting business and system changes effectively. Preferred Qualifications: Experience with data product development and data architecture. Prior experience with client's supply chain operations. Knowledge of SAP S4 modules (Supply & Demand, Transportation). Familiarity with big data technologies and high-volume data processing. Certification in data analysis or Databricks is a plus. About Brickred Systems: Brickred Systems is a global leader in next-generation technology, consulting, and business process service companies. We enable clients to navigate their digital transformation. Brickred Systems delivers a range of consulting services to our clients across multiple industries around the world. Our practices employ highly skilled and experienced individuals with a client-centric passion for innovation and delivery excellence. With ISO 27001 and ISO 9001 certification and over a decade of experience in managing the systems and workings of global enterprises, we harness the power of cognitive computing hyper-automation, robotics, cloud, analytics, and emerging technologies to help our clients adapt to the digital world and make them successful. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
    $60k-93k yearly est. 14d ago
  • Healthcare Data Analyst

    Trillium Family Services 3.7company rating

    Data Science Internship Job In Portland, OR

    Join Trillium Family Services - Make a Difference in Young Lives and Families Starting salary: $62.000/year Portland or Corvallis, OR ( must be an Oregon/Washinton resident ) Trillium Family Services is proud of our dedicated team, and we're always looking for compassionate individuals eager to make a real difference in the lives of young people and their families. At Trillium, diversity, equity, and inclusion are at the core of our positive workplace culture. We aim to cultivate a sense of belonging and growth for everyone. Why Join Trillium? We are committed to developing our staff and providing extensive education, training, and mentorship opportunities to help each reach their fullest potential. You'll take advantage of: Public Service Loan Forgiveness eligible Comprehensive employer-paid healthcare benefits for eligible employees Flexible work schedule 401k with 6% match Paid training Generous vacation and sick leave And more! Your Role: Healthcare Data Analyst Works collaboratively with the VP of Business Development/Provider Relations, Finance, and Support team to ensure data is accurately collected and documented Aggregating data, analyzing resulting spreadsheets, compiling, and reporting data Identifies current business trends within the healthcare community. Fulltime 40 hours/week (flexible schedule) Position can be home based at the Portland or Corvallis location (must be an Oregon/Washington resident) About You: Bachelor's degree in social services, finance, marketing, or business with emphasis in, business administration and contracts strongly preferred Five (5) full years of healthcare data analytic experience preferred Advanced knowledge of MS Office tools, with particular emphasis on Excel. Strong data entry skills, alpha and numeric Superior written communication skills. Strong understanding of community demographics and healthcare systems To take a behind-the-scenes look at our programs please visit our website at ************************ Take the first step in launching your career in mental health today and create a meaningful impact in the lives of others. Your journey to making a difference starts now! Pay Equity: Please be advised that the pay range listed for this position is intended to provide general guidance on the earning potential for the role. However, actual compensation will be determined by the Oregon Equal Pay Law, which will take into account factors such as the candidate's relevant experience and education. Candidates should expect that initial offers will be made within the listed pay range and may not be at or near the top of the range. For physical demands of position , including vision, hearing, repetitive motion, and environment, contact the HR department. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position without compromising client care. Consideration of candidates is ongoing , and position may close after 3 business days of posted opportunity. Please contact the Human Resources Department if you need accommodation to review the information and/or complete the application process Trillium Family Services is a drug-free workplace . All final applicants will be subject to a criminal record identification check pursuant to ORS 181.536.727.537 and agency policy. We are an Equal Opportunity Employer and Service Provider and support culturally linguistically diverse governance, leadership, and workforce.
    $62 hourly 6d ago
  • Staff Data Scientist - Trust and Safety

    Indeed 4.4company rating

    Data Science Internship Job In Portland, OR

    **Our Mission** As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*com Score Total Visits, September 2023) **Day to Day** As a Staff Data Scientist, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the team, and guide other members of the team to achieve product/technical goals. On a daily basis, you will explore data and formulate problem statements, develop and deploy predictive models while monitoring them in production, and guide the team on the same. Additionally, you will collaborate with cross-functional teams, evangelize your team's work, and stay updated with the latest advancements in the field. **Responsibilities** + Collaborate with cross-functional teams to enhance and optimize search algorithms for improved accuracy, relevance, and overall user experience. + Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology while collaborating with other teams + Define and clarify project priorities, deliverables, and success criteria in collaboration with cross-functional teams. + Act as a bridge between technical and non-technical collaborators, facilitating effective communication and understanding of project goals and outcomes. + Mentor and grow other software engineers, data scientists, and Machine Learning Engineers across teams + Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the team through implementing them + Represent Indeed at major Machine Learning conferences like Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), and International Conference on Learning Representations (ICLR) **Skills/Competencies** We are looking for someone with a deep interest in designing and building machine learning systems, someone who loves thought-provoking assignments, is eager to learn, and wants to work with a variety of technologies to "help people get jobs". + Bachelors in Computer Science, Mathematics, or related fields + 5+ years of industry experience as an AI Engineer, Data Scientist, or Machine Learning Engineer + Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while collaborating across teams. + Solid knowledge of data structures and algorithms + Sense of ownership and accountability as a key contributor in the technical and product domains + Knowledge and practical experience working on Deep Learning Libraries (like PyTorch, Tensorflow, etc.) + Excellent written and verbal communication in English, effective with technical and business audiences **Salary Range Transparency** Austin, Metro Area. 164,000 - 238,000 USD per year New York City, Metro Area 179,000 - 259,000 USD per year Seattle, Metro Area 183,000 -266,000 USD per year San Francisco, Metro Area 191,000 - 276,000 USD per year US Remote 164,000 - 238,000 USD per year **Salary Range Disclaimer** The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. To learn more about your pay transparency rights, click here (*********************************************************************************************** **Benefits - Health, Work/Life Harmony, & Wellbeing** We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 12 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at ***************************** **Equal Opportunities and Accommodations Statement** Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an Equal Employment and Affirmative Action employer seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, family status, marital status, sexual orientation, religious creed, national origin, genetics, neuro-diversity, disability, age, status as a protected veteran, or any other non-merit based or legally protected grounds. Indeed is dedicated to providing reasonable accommodations to qualified individuals with known disabilities to participate in the employment application process. To request an accommodation, an applicant should contact Talent Attraction Accommodations at **************, or by email at accommodations@indeed.com. In the request for an accommodation, please inform us of the nature of your request and your contact information. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. **Inclusion & Belonging** Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering a diverse and inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. **Indeed's Employee Recruiting Privacy Policy** Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at **************************** , we also want to make you aware of our recruitment specific privacy policy found at ****************************/indeed-jobs . **Agency Disclaimer** Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. **_Reference ID:_** **44844** **\#INDDATA** **The deadline to apply to this position is December 15th. Job postings may be extended at the hiring team's discretion based on applicant volume.** Reference ID: 44844
    $84k-110k yearly est. 17d ago
  • Healthcare Data Analyst

    Northwest Human Services 3.3company rating

    Data Science Internship Job In Salem, OR

    Northwest Human Services is a non-profit leader in providing advocacy, quality healthcare and social services in Marion and Polk counties since 1970. We are a mission focused organization providing compassionate and professional medical, dental, psychiatry, mental health, and wraparound services for those in our community who need it most - uninsured individuals, families, the homeless, and migrant workers. As a Community Health Center we value a culture of equity, diverse perspectives, and life experiences. Our organization embraces innovation, collaboration, and work-life harmony. HEALTHCARE DATA ANALYST Location: West Salem Clinic, 1233 Edgewater Street NW, Salem OR 97304 (Not a remote position) Job Status: Full-time, Monday - Friday Salary Range: DOE: $27.10, $33.90, $40.70 YOUR ROLE: This position is responsible for producing clinical and operational business intelligence (BI) from many complex data sources, using various analytic methods. The Healthcare Data Analyst provides guidance and advice regarding the availability and validity of data to answer questions regarding organizational and provider performance. The Healthcare Data Analyst provides interpretation of trends and drivers of performance and evaluates the effect of improvement projects. SPECIFIC DUTIES * Conduct routine and exploratory analyses to assess performance and evaluate programs and projects. Act as an internal consultant to identify opportunities for improvement and inform strategic initiatives. * Collaborate with stakeholders to understand their data needs and provide actionable insights to support their objectives. * Utilize advanced analytical techniques to uncover drivers, correlations, historical trends, and predictive insights. * Ensure data integrity and accuracy by performing regular quality checks and audits, gathering data from various sources, and verifying completeness. * Develop and deliver business intelligence (BI) reports to support decision-making, assist leaders in interpreting dashboards and reports, and create innovative data visualizations to facilitate understanding of key issues. QUALIFICATIONS * Bachelor's degree in Business Information Systems, Computer Science, Data Analytics, or related field with coursework in quantitative analysis * 3+ years of analysis and reporting experience in an ambulatory, primary care medical group, or community health center environment. * Knowledge and experience with SQL, Power BI, MS Fabric, or similar analytics automation platform. * Knowledge and experience using statistical analysis * Knowledge of healthcare data sources, concepts, and metrics SUMMARY OF BENEFITS: Our Agency strives to provide a benefits program that is comprehensive and competitive within our industry. * Competitive Salary * Comprehensive Health Plans: Dental and Vision * Flex Spending Account * Group Life: Short-Term & Long-Term Disability 100% paid by employer * 403(b) retirement plan with 3% employer match * 10 hours of monthly Paid Time Off based on FTE * 7½ paid holidays each year + 2 paid floating holiday * Continuing Education Plan * Employee Healthy Living Program - Gym Membership & Smoking Cessation Northwest Human Services sites are eligible for various Provider Incentive Programs through the Oregon Office of Rural Health and National Health Service Corps loan repayment and scholar programs as well as the Rural Practitioner Tax Cred. For more information check out the Office of Rural Health, National health Service Corps, and Public Service Loan Forgiveness websites. NWHS sites have a Primary Care HPSA Score of 18, Dental score of 19, and a Mental Health score of 22. TO APPLY: If you are interested in joining a team that makes a difference in the lives of many, apply online at: Employment (northwesthumanservices.org) For more information, contact the HR/Recruiting Department at: ********************** | ************ All candidates who receive a written offer of employment will be required to undergo a criminal records check. Equal Opportunity Employer | We celebrate diversity and are committed to creating an inclusive environment for all employees.
    $50k-76k yearly est. Easy Apply 1d ago
  • Data Scientist, Product Analytics

    Meta 4.8company rating

    Data Science Internship Job In Salem, OR

    As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 8. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
    $173k-242k yearly 60d+ ago
  • NLP & LLM Data Scientist - Healthcare & Life Sciences

    Norstella

    Data Science Internship Job In Salem, OR

    Company: Norstella Employment Type: Full Time **Description** At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. ** :** Norstella Real World Data (RWD) is seeking a skilled NLP Data Scientist with clinical background with a focus on Language Models to join our AI & Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory reports analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma. **Responsibilities:** + Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, Qwen, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports. + Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data. + Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes. + Validate and present data findings to stakeholders, exhibiting clear and effective communication skills. **Qualifications:** + Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related analytical field. + Deep understanding and direct experience (2+ years) in handling and interpreting either Electronic Health Records (EHR) and laboratory tests results or genetic test results is a must. + Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modeling, etc. and their applied use in healthcare. + Expert-level understanding and practical experience (1+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning. + Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, spa Cy, Hugging face Transformers, and deep learning libraries such as PyTorch, TensorFlow.Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation. + Experience in working with AWS cloud environment and large databases (e.g., AWS redshift). + Experience in managing ML lifecycle using open-source tools (e.g., MLflow).Detail-oriented with strong analytical and problem-solving abilities. + Excellent verbal and written communication skills, with ability to present complex data to non-technical audience. **Preferred Qualifications:** + Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA. + Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT. + Experience in RAG (Retrieval-Augmented Generation) and vector store in the context of storing large volume of healthcare unstructured documents and querying those. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Paid parental leave Paid time off principles for success at Norstella **01: Bold, Passionate, Mission-First** We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. **02: Integrity, Truth, Reality** We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. **03: Kindness, Empathy, Grace** We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. **04: Resilience, Mettle, Perseverance** We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. **05: Humility, Gratitude, Learning** We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. The expected base salary for this position ranges from $140,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. _Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment._ _Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._ Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.
    $140k-200k yearly 23d ago
  • Data Privacy Intern

    HP 4.9company rating

    Data Science Internship Job In Vancouver, WA

    Description - This opportunity is intended for conversion to a full-time role that will not offer work authorization sponsorship in the future (full-time conversion pending performance evaluation post internship and available headcount). Interested candidates must be currently eligible to work in the US AND must not require work authorization sponsorship in the future. HP, Inc. will not provide any assistance or sign documentation in support of immigration sponsorship including Curricular Practical Training (CPT) or Optional Practical Training (OPT). Candidates who identify with a group that is historically underrepresented in the technology sector including by not limited to, African American, Latino, Native American, individuals with disabilities and Veterans are encouraged to apply. About Us Innovation is in HP's DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world's leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe. HP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze. The Program: Our future success depends on the innovation and fresh ideas students bring to HP, Inc. We are hiring students with a diverse set of skills and experiences to join us, across the different organizations that make us HP, inc. Our intern program is intended to enhance your overall learning experience, give you an opportunity to make an impact, have some fun, and meet great people along the way. Join us for a 12-week paid summer internship designed to let you apply your classroom learnings to real world challenges. Our internships have a thoughtful balance of networking, executive speakers, community involvement, big meaty projects (no paper filing here!) and fun! The Team: HP is revolutionizing the way our customers experience and use our products and the way HP is doing business. We are seeking a Data Privacy Intern to support privacy efforts across consumer services and Print software to ensure regulatory implementation. The intern will support and respond to privacy requests to align Privacy by Design principles at the earliest stages in development. The role will make sure that the analysis and actions the business chooses with data meet established regulatory compliance needs. This role will support new use of data through reviews and initiatives in the areas of privacy, data protection, governance, and security within the Print business unit. The Data Privacy Intern will be responsible for interacting with Software, Governance and Data Protection teams. The role will also include responsibility for implementing requirements and processes to ensure HP's high ethical standards are met throughout the data use lifecycle. Additional work may be required in conducting data privacy impact assessments. Responsibilities: Provide support to consumer services and Print software inquiries around relevant privacy processes, policy, and issues Collaborate with peers as well as with cross-functional internal and external teams, including legal, to ensure regulatory compliance Education and Experience Required: Currently enrolled in a four-year college and returning to school following the internship. Knowledge of industry standards for data privacy Preferred Majors: Aspiring Bachelor's degree in Business Management, Mathematics, Computer Science, Engineering, or related Data Privacy education and experience Preferred Knowledge and Skills: Intermediate skills with Microsoft tools like PowerPoint, Excel, and Word Good work ethic and interpersonal skills Ability to work well in a team atmosphere Good communication skills (verbally and written) Ability to maintain strict confidentiality We are looking for visionaries who are ready to make an impact on the way the world works. At HP, the future is yours to create. Thanks for taking the time to review our job, if you think it is a match to your knowledge and interests please apply today- we are eager to learn more about you. HP is an equal opportunity employer: **************************************************************** The pay range for this position is $31 to $37 per hour (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: Review HP US benefits: **************************************************************** HP offers a comprehensive benefits package for US Interns working at least 20 hours weekly, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 13 paid holidays 15 days paid time off (US benefits overview) Available hours are pro-rated based on hire date and scheduled hours The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Explore HP Job - Administration Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you'd like more information about HP's EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement
    $31-37 hourly 19d ago
  • EDI Data Coordinator

    Afsmart

    Data Science Internship Job In Tigard, OR

    Purpose/Job Function: EDI/Data Coordinators work with a company's Electronic Data Interchange program, maintaining smooth, timely data exchange using EDI systems and related tools to exchange transactions. This includes handling inbound/outbound electronic documents, conducting auditing, handling relevant transactions, networking with partners, and making changes or maintenance as required. EDI coordinators work extensively with information technology staff and other company employees to ensure the EDI program is working as intended. Daily activities performed by EDI coordinators include serving as the initial contact for troubleshooting inquiries, monitoring document transmissions, and identifying opportunities to improve relevant processes. They perform audits to ensure quality standards are being met on a regular basis. In addition, this role is responsible to uphold our core values: Ethics, Engagement, and Excellence. Essential Functions: Work with trading partners regarding updates, missing data, or other operational issues. Coordinate and test EDI implementations with new EDI partners. Analyze current implementations and make recommendations for improvements. Process and monitor all inbound and outbound documents. Coordinate with trading partners to maintain effective EDI relationships and provide support to internal departments. Review weekly loads for missing or faulted files. Pull and load files for non-automated processes. Maintain FBO, UPS e-Bill, and other account settings. Pull and review EDI and other files for loading failures and error conditions. Qualification/Requirements: Attention to detail and high level of accuracy. Highly organized with ability to manage multiple priorities. Ability to deliver assignments on time. Ability to work independently and with minimal supervision. Must have great reading and comprehension skills. Ability to handle a variety of people; internal and external. Ability to apply common sense understanding to carry out instructions furnished in written or oral form. Intermediate math skills. Strong organizational and follow-up skills. Proficient in MS Office. Ability to communicate complex and or technical processes effectively in both written and oral form. Education/Experience: High School Diploma or GED required. Technology-oriented Associates (two-year) degree is preferred. Prior work experience with IBM Sterling B2B Integrator. Knowledge of EDI document formats and details is important to perform daily operations. EDI coordinators must have excellent communication skills and be able to discuss technical issues with non-technical staff. Transportation and logistics industry experience preferred.
    $58k-88k yearly est. 5d ago
  • Accounts Payable Data Analyst Intern

    Daimler Truck North America 4.5company rating

    Data Science Internship Job In Portland, OR

    Inside the Role Interns will gain knowledge and experience through exciting and real-life learning opportunities. Interns must work in accordance with DTNA's core values of passion, respect, integrity and discipline. Internship positions can be located at various DTNA locations across the US. We are looking for high performing and motivated individuals in various areas within DTNA organizations. DTNA internships begin each summer in May or June. Interns in this role may have the opportunity to transition into a full-time position subject to manager evaluations and business availability. Finance Operations is a proud financial steward of our company, investing in relationships to enable our extraordinary team, business partners and organization to succeed. As a valuable business partner we ensure transparency and provide operational guidance and services. As quality gatekeeper we drive compliance with finance operational rules within DTNA and the Daimler Truck Division. This intern position will concentrate on key Accounts Payable data and results - including analyzing current key performance metrics, working to understand foundational processes and their impact to overall paid on time, suggesting selection and/or revision of key analytics to ongoing measure and drive to targets, and the creation of these metrics. Posting Information We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected. We Take Care of Our Team Salary placement is determined by your anticipated graduation year and ranges between $21 - $30 per hour. Benefits include: Professional development and networking events, including resume reviews/mock interviews Housing and transportation stipend Employee resource groups Event ticket offering (based on corporate availability) Company social events What You Drive at DTNA Collaborate with members of the Accounts Payable team to gain Procure to Pay process understanding Lead visualization project using PowerBI, Alteryx, and/or Tableau for dashboarding business solutions Develop and/or maintain data with respect to department metrics, including process improvement in data collection, visualization, and distribution Develop sustainable methodology for maintenance of KPI's See a data/analytics project from start to completion Share your insights and drive outcomes individually and in collaborative, encouraging environments Identify ways to improve data reliability, efficiency and quality Recognize and adopt best practices in reporting/analysis Knowledge You Should Bring Must be currently enrolled in a Bachelor's program or higher from an accredited college/university OR have recently graduated within 1 year of the position start date (May/June) Excellent documentation and organizational skills A basic understanding of procure to pay with the goal to dive deeper with process experts The ability to create useful and visual analytics using large amounts of data Analytical capabilities and the ability to uncover data relationships/drivers Ability to work through some ambiguity to identify best practices Passion for driving positive outcomes for the business/department Ability to analyze complex end to end processes Self-starter with a proactive approach to learning Strong data analytics/data toolset CI mindset Strong oral and written communication skills Solid organizational skills Creative mindset Interpersonal skills and ability to work in a team environment Experience or familiarity with visualization software/data science tools (PowerBi, Alteryx, Tableau, etc.) Experience or familiarity with SAP preferred #LI-Hybrid Where We Work This position is open to applicants who can work in (or relocate to) the following location(s)- Portland, OR US. Relocation assistance for this position is available when the selected candidate meets eligibility criteria. Schedule Type: Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration. At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we're building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA's legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future - building a cleaner, safer and more efficient tomorrow for all. That is what we are working toward - for all who keep the world moving. Additional Information This position is not open to Visa sponsorship or to existing Visa holders Applicants must be legally authorized to work permanently in the country the position is located in at the time of application Final candidate must successfully complete a criminal background check Final candidate may be required to successfully complete a pre-employment drug screen Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions EEO/Minorities/Females/Disabled/Veterans Daimler Truck North America is committed to employing a diverse workforce and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status. For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at ************ or toll free ************. For TTY/TDD enabled call ************ or toll free ************.
    $21-30 hourly 9d ago
  • 213657 Data Analyst

    Procom Services

    Data Science Internship Job In Hillsboro, OR

    Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada. With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest “Canadian-Owned” IT staffing/consulting company. Procom's areas of staffing expertise include: • Application Development • Project Management • Quality Assurance • Business/Systems Analysis • Datawarehouse & Business Intelligence • Infrastructure & Network Services • Risk Management & Compliance • Business Continuity & Disaster Recovery • Security & Privacy Specialties• Contract Staffing (Staff Augmentation) • Permanent Placement (Staff Augmentation) • ICAP (Contractor Payroll) • Flextrack (Vendor Management System) Job Description Demonstrate analytical and debugging skills. Should be able to examine data patterns to identify performance issues and improvement opportunities. Must be meticulous and careful, maintain detailed logs of day-to-day work, provide accurate, well-written reports, and develop and share BKMs with other team members. Should be able to debug and instrument kernel, system libraries and driver code and be experienced in using performance analysis tools such as Oprofile, VTune, and similar Linux tools. Qualifications Expertise in Android framework and corresponding SDK, Linux Kernel, Dalvik and associated JIT compiler optimization techniques, and strong familiarity with x86 microarchitecture and code generation/assembly language. Should be able to debug and instrument kernel, system libraries and driver code and be experienced in using performance analysis tools such as Oprofile, VTune, and similar Linux tools. Additional Information PLEASE NOTE THAT WE ARE NOT ABLE TO WORK WITH CANDIDATES ON H1B VISAS OR CANDIDATES REPRESENTED BY THIRD PARTIES.
    $59k-88k yearly est. 12d ago
  • Provider Data Analyst II

    Moda Health 4.5company rating

    Data Science Internship Job In Portland, OR

    Let's do great things, together! About Moda Founded in Oregon in 1955, Moda is proud to be a company of real people committed to quality. Today, like then, we're focused on building a better future for healthcare. That starts by offering outstanding coverage to our members, compassionate support to our community and comprehensive benefits to our employees. It keeps going by connecting with neighbors to create healthy spaces and places, together. Moda values diversity and inclusion in our workplace. We aim to demonstrate our commitment to diversity through all our business practices and invite applications from candidates that share our commitment to this diversity. Our diverse experiences and perspectives help us become a stronger organization. Let's be better together. Job Summary: Provider Data Analysts conduct analysis to support contract negotiations with medical providers. The analyst uses claims data, as well as other data sources, to model the impact of various contract terms. Functions include the use of analytic tools to pull data from Moda's data warehouse, analysis that converts the raw data into useful information, and analytic summaries that communicate the information to the department's customers. This is a FT WFH role. Pay Range $61,877 - $77,364 annually (depending on experience). *Actual pay is based on qualifications. Applicants who do not exceed the minimum qualifications will only be eligible for the low end of the pay range. Please fill out an application on our company page, linked below, to be considered for this position. ************************** GK=27746398&refresh=true Benefits: Medical, Dental, Vision, Pharmacy, Life, & Disability 401K- Matching FSA Employee Assistance Program PTO and Company Paid Holidays Primary Functions: Under general supervision, provide analysis and recommendations in support of Professional Relation's contracting efforts Develop tools to model contract terms and the impact of moving a provider to new contract terms Develop standard reports as defined by Professional Relations to manage provider networks. Work closely with Professional Relations to define these reports Prepare special requests made from various areas for provider's information Assist in the development and implementation of provider scorecards, provider profiles and other tools to help manage medical provider networks Assist in the development of provider metrics to support consumer-driven healthcare initiatives Provide input on data elements that should be made available and reviewed for quality in support of provider analysis Create and maintain documentation of the processes developed for provider analysis Audit contract terms using Facets configuration files; research and analyze healthcare claims to determine if contract terms were configured correctly Act as an internal consultant to the provider contracting team, providing advice on fee schedules, impacts and potential outcomes of various contract terms, healthcare industry trends and other information, providing written or verbal presentation of information, as needed May provide peer review, guidance or expertise to less experienced analysts Required Skills & Experience: Bachelor's degree required; master's in healthcare administration or business administration is preferred Three to five years of experience in the health insurance, healthcare provider or public health industry Strong statistical, analytical, and problem-solving skills Experience with data analysis tools such as SAS, SQL, decision support systems, business intelligence tools and/or Microsoft Access Experience with healthcare billing or claims data Knowledge of reimbursement concepts and methodologies, financial analysis, contracting and contract negotiations Advanced Microsoft Excel skills and proficiency with all Microsoft Office products Strong verbal, written and interpersonal communication skills with the ability to tailor the type and level of communication to the intended audience Must be able to work independently on complex projects and be flexible to changes in priorities and changing workload Strong ability to work collaboratively as part of a team Maintain confidentiality and project a professional business image Contact with Others & Working Conditions: Extensive computer and keyboard work. Fluctuating workflow with deadlines that may require work in excess of 37.5 hours. Internally, primarily with the provider contracting team, occasionally with Moda actuaries and other departments Together, we can be more. We can be better. Moda Health seeks to allow equal employment opportunities for all qualified persons without regard to race, religion, color, age, sex, sexual orientation, national origin, marital status, disability, veteran status or any other status protected by law. This is applicable to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absences, compensation, and training. For more information regarding accommodations please direct your questions to Kristy Nehler via our ***************************** email.
    $61.9k-77.4k yearly 60d+ ago
  • Principal Data Scientist

    Insight Global

    Data Science Internship Job In Portland, OR

    An insurance client is looking for a Principal Data Scientist to join their growing AI / ML organization. This person will be focused within leading the team and providing high level technical delivery for the enterprise. Day to day includes guiding team members through code reviews and projects, leading junior team members by providing insight and direction, and delivery technically. This person is the highest level of individual contributor at the company, so autonomy over their process and work, delivering over long-term projects and continuous improvements over multiple work cycles, and providing leadership and coaching are core experiences that will be leveraged in this role. The company sits in Portland, Oregon and works core PST hours. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ******************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements - Bachelor's Degree in a related field - 10+ years of experience in the Data Science field in an enterprise environment - Expert technical experience with Python, Databricks, Pytorch, and Azure cloud - Experience working with large language models and neural networks -Experience coaching and mentoring team members - Master's Degree - DSPy experience / knowledge - Experience in the insurance / banking / finance space and working with highly regulated data null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to ********************.
    $73k-104k yearly est. 60d+ ago
  • On-Site Data Analyst

    Pacific Office Automation 4.7company rating

    Data Science Internship Job In Beaverton, OR

    Pacific Office Automation is the largest independently owned document imaging and technology dealers in the nation Since 1976 we have grown to over thirty branches located in ten western states OR WA CA AZ NM NV UT ID CO & TX With over 40 years of success in office equipment and technology salesservice our growth and reputation have afforded us great relationships with top manufacturers such as Canon Sharp Konica Minolta HP Ricoh Lexmark and many more At Pacific Office Automation you will find an amazing technology company full of growth opportunities great benefits and passionate coworkers who aim to help you succeed Among our company goals we aim to be a long term employer That means providing employees with the training and certification they need to keep up with the fast changing technology of our office machines devices and software Job Summary We are seeking a reliable detail oriented Data Analyst to join our team on site in Beaverton Oregon A successful candidate will be responsible for creating high quality reports on a variety of topics to help drive business decisions analyze data sets identify trends and patterns and have excellent analytical and problem solving skills with strong attention to detail This is a full time position with opportunities for growth and advancement within our organization Responsibilities Collect and analyze large datasets Communicate effectively with team members to ensure data accuracy and consistency Create clear and concise reports and visualizations to communicate insights and findings to stakeholders Collaborate with cross functional teams to identify and solve business problems using data driven approaches Collaborate with other team members including project managers and analysts to ensure that reports meet needs objectives and are completed on time Identify analyze and interpret trends or patterns in complex data sets Filter and clean data by reviewing computer reports printouts and performance indicators to locate and correct problems Work with management to prioritize business and information needs Locate and define new process improvement opportunities Requirements Bachelors degree in Business Management Information Systems or a related field Excellent communication skills with the ability to present complex data findings in a clear and concise manner Ability to work independently and with minimal supervision Strong analytical and problem solving skills with attention to detail Continuously monitor and evaluate data quality to ensure data integrity Proficiency in SQL and Microsoft Office including Word and ExcelFamiliarity with data visualization tools such as Power BI is a plus Benefits Advancement and growth into leadership roles Team player environment MedicalDentalVisionLife insurance plans Matched 401k PTO Vacation Sick LeaveFSAHSA programs21 25hr DOE Our Commitment to Diversity and Inclusion Pacific Office Automation is proud to be an equal employment opportunity employer All qualified applicants will receive consideration for employment without regard to race color national origin ancestry gender sexual orientation gender expression or identity age religion veteran status or any other characteristic protected by law We celebrate our employees differences because we know that diversity makes us stronger LI Onsite
    $57k-82k yearly est. 10d ago
  • Staff Data Scientist, Marketing Applied Sciences Team

    General Motors 4.6company rating

    Data Science Internship Job In Salem, OR

    This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. **The Role** The Staff Data Scientist is an internal expert in methodology and leads audience activation modeling efforts, translating complex customer data into actionable marketing strategies and personalized customer experiences through machine learning modeling. This individual possesses deep technical expertise in statistics and machine learning, with a strong focus on their application in marketing targeting. This individual will collaborate closely with stakeholders from GM's vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, conduct objective performance evaluations, and optimize audience activation to drive sales. You will be responsible for developing advanced marketing models, extracting valuable insights, and creating scalable solutions that identify high-return investment opportunities at the channel and tactic levels. Our team is focused on delivering forward-thinking, consumer-centric, and prescriptive solutions that enable GM to remain proactive and agile as we transition to electric vehicles (EVs). **What You'll Do** Staff Data Scientist will be responsible for: + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff + Mentoring junior data scientists on the team **Your Skills & Abilities (Required Qualifications)** + Master's Degree or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Marketing Science, or another quantitative field + Deep knowledge of Machine Learning and Statistics. Familiarity with Deep Learning algorithms is a plus + Proficient in writing scalable code using Python and SQL/Spark, with experience working with Spark/ML, scikit-learn, NumPy, Pandas, StatsModels, PyMC, TensorFlow, PyTorch, and related packages + Experience withcloud compute platforms such as Azure with Databricks experience being especially valuable + 10+ years of experience as a Data Scientist or in a related role,developing, deploying, and monitoring performance of large analytic data sets and machine learning based models + Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression, media mix modeling (MMM), multi-touch attribution (MTA) + Prior experience with CRM, paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **Additional Job Description** This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. Compensation: + The expected base compensation for this role is: $160,200- $285,300. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. **Benefits Overview** The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: - Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; - Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; - Company and matching contributions to 401K savings plan to help you save for retirement; - Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; - Tuition assistance and student loan refinancing; - Discount on GM vehicles for you, your family and friends. **Diversity Information** General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. **Equal Employment Opportunity Statements** GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, "protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. **Explore our global location** **s** The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
    $77k-99k yearly est. 16d ago
  • Business Analyst Intern

    Maximus 4.3company rating

    Data Science Internship Job In Portland, OR

    Description & Requirements This role offers hands-on experience in supporting our Business Development teams to identify and engage with potential partners. This role will focus on providing research and analyzing small businesses and technology partners, including SBIR (Small Business Innovation Research) awardees, to help Maximus expand its partnerships and innovative solutions in the federal space. Essential Duties and Responsibilities: - Conduct business analysis to support the Business Development department. - Support process improvements and project deliverables. - Research potential market trends. - Assist in special projects in the Business Development department. - Assist with ad-hoc reporting and other tasks. Maintain and update partnership database, ensuring accurate records of potential and existing partner interactions. Assist in preparing reports, presentations, and briefing materials for internal stakeholders. Minimum Requirements - Currently enrolled in an accredited college or university and pursuing a college degree in a related field. - Must have completed a minimum 2 years of coursework. - Ability to perform comfortably in a fast-paced, deadline-oriented work environment. - Skilled in standard computer applications and platforms such as Outlook and MS Office Suite, PowerPoint, and Excel. - Excellent interpersonal communication, teamwork, and customer service skills. - Demonstrated ability to juggle multiple priorities with superior attention to detail. Strong research and analytical skills with an interest in government contracting and small business development. Excellent communication and writing skills, with the ability to summarize findings clearly and concisely. Proficiency in Microsoft Office (Excel, PowerPoint, Word) and ability to work with data. EEO Statement Active military service members, their spouses, and veteran candidates often embody the core competencies Maximus deems essential, and bring a resiliency and dependability that greatly enhances our workforce. We recognize your unique skills and experiences, and want to provide you with a career path that allows you to continue making a difference for our country. We're proud of our connections to organizations dedicated to serving veterans and their families. If you are transitioning from military to civilian life, have prior service, are a retired veteran or a member of the National Guard or Reserves, or a spouse of an active military service member, we have challenging and rewarding career opportunities available for you. A committed and diverse workforce is our most important resource. Maximus is an Affirmative Action/Equal Opportunity Employer. Maximus provides equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disabled status. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Minimum Salary $ 22.00 Maximum Salary $ 26.00
    $42k-61k yearly est. 3d ago
  • Full Stack Data Scientist

    Cardinal Health 4.4company rating

    Data Science Internship Job In Salem, OR

    At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************
    $93.5k-133.6k yearly 60d+ ago
  • Data Scientist, Product Analytics

    Meta 4.8company rating

    Data Science Internship Job In Salem, OR

    As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 7. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 8. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $145,000/year to $204,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
    $145k-204k yearly 60d+ ago
  • Data Scientist, Operations Research

    Cardinal Health 4.4company rating

    Data Science Internship Job In Salem, OR

    **_What Data Science contributes to Cardinal Health_** The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. **_Department/Team Overview_** We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas: + Distribution center network design and capacity planning + Facility layout and design; warehouse capacity and utilization + Warehouse process improvement + Labor management and automation + Inventory management: stocking strategies and replenishment policies + Transportation planning: first mile, middle mile, and final mile + Sales and operations planning (resource management in response to demand changes) **_Responsibilities_** As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to: + Listen to clients and ask questions to clearly define business problems. + Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses. + Develop predictive models to forecast future volumes that will drive capacity/resource needs. + Develop customer and product segmentation models and design our supply chain to support differentiated services. + Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance. + Develop prescriptive models using 3rd party optimization/simulation software and custom-build models. + Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered. + Work with Data Engineers to create data models for analyses. **_Qualifications_** + 2-4 years of experience, preferred + Bachelor's degree in a quantitative field, or equivalent work experience, preferred + MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred + Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred + Experience with Structured Query Language (SQL) and working with databases preferred + Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred + Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred + Proven ability to work as part of a team as the key analytical resource + Excellent communication skills with an ability to explain quantitative analysis in simple business terms + Intellectual curiosity, humility, genuine respect and desire to help others + Bias for action and passion for driving change + Ability to travel up to 5% **_What is expected of you and others at this level_** + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects + May contribute to the development of policies and procedures + Works on complex projects of large scope + Develops technical solutions to a wide range of difficult problems + Solutions are innovative and consistent with organization objectives + Completes work; independently receives general guidance on new projects + Work reviewed for purpose of meeting objectives + May act as a mentor to less experienced colleagues **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 4/18/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************
    $93.5k-133.6k yearly 26d ago
  • Data Privacy Intern

    HP Inc. 4.9company rating

    Data Science Internship Job In Vancouver, WA

    This opportunity is intended for conversion to a full-time role that will not offer work authorization sponsorship in the future (full-time conversion pending performance evaluation post internship and available headcount). Interested candidates must be currently eligible to work in the US AND must not require work authorization sponsorship in the future. HP, Inc. will not provide any assistance or sign documentation in support of immigration sponsorship including Curricular Practical Training (CPT) or Optional Practical Training (OPT). Candidates who identify with a group that is historically underrepresented in the technology sector including by not limited to, African American, Latino, Native American, individuals with disabilities and Veterans are encouraged to apply. About Us Innovation is in HP's DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world's leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe. HP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze. The Program: Our future success depends on the innovation and fresh ideas students bring to HP, Inc. We are hiring students with a diverse set of skills and experiences to join us, across the different organizations that make us HP, inc. Our intern program is intended to enhance your overall learning experience, give you an opportunity to make an impact, have some fun, and meet great people along the way. Join us for a 12-week paid summer internship designed to let you apply your classroom learnings to real world challenges. Our internships have a thoughtful balance of networking, executive speakers, community involvement, big meaty projects (no paper filing here!) and fun! The Team: HP is revolutionizing the way our customers experience and use our products and the way HP is doing business. We are seeking a Data Privacy Intern to support privacy efforts across consumer services and Print software to ensure regulatory implementation. The intern will support and respond to privacy requests to align Privacy by Design principles at the earliest stages in development. The role will make sure that the analysis and actions the business chooses with data meet established regulatory compliance needs. This role will support new use of data through reviews and initiatives in the areas of privacy, data protection, governance, and security within the Print business unit. The Data Privacy Intern will be responsible for interacting with Software, Governance and Data Protection teams. The role will also include responsibility for implementing requirements and processes to ensure HP's high ethical standards are met throughout the data use lifecycle. Additional work may be required in conducting data privacy impact assessments. Responsibilities: * Provide support to consumer services and Print software inquiries around relevant privacy processes, policy, and issues * Collaborate with peers as well as with cross-functional internal and external teams, including legal, to ensure regulatory compliance Education and Experience Required: * Currently enrolled in a four-year college and returning to school following the internship. * Knowledge of industry standards for data privacy Preferred Majors: * Aspiring Bachelor's degree in Business Management, Mathematics, Computer Science, Engineering, or related Data Privacy education and experience Preferred Knowledge and Skills: * Intermediate skills with Microsoft tools like PowerPoint, Excel, and Word * Good work ethic and interpersonal skills * Ability to work well in a team atmosphere * Good communication skills (verbally and written) * Ability to maintain strict confidentiality We are looking for visionaries who are ready to make an impact on the way the world works. At HP, the future is yours to create. Thanks for taking the time to review our job, if you think it is a match to your knowledge and interests please apply today- we are eager to learn more about you. HP is an equal opportunity employer: **************************************************************** The pay range for this position is $31 to $37 per hour (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: Review HP US benefits: **************************************************************** HP offers a comprehensive benefits package for US Interns working at least 20 hours weekly, including: * Health insurance * Dental insurance * Vision insurance * Long term/short term disability insurance * Employee assistance program * Flexible spending account * Life insurance * Generous time off policies, including; * 4-12 weeks fully paid parental leave based on tenure * 13 paid holidays * 15 days paid time off (US benefits overview) * Available hours are pro-rated based on hire date and scheduled hours The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Explore HP
    $31-37 hourly 15d ago

Learn More About Data Science Internship Jobs

How much does a Data Science Internship earn in Tigard, OR?

The average data science internship in Tigard, OR earns between $32,000 and $107,000 annually. This compares to the national average data science internship range of $24,000 to $73,000.

Average Data Science Internship Salary In Tigard, OR

$58,000
Job type you want
Full Time
Part Time
Internship
Temporary