Data science internship jobs in New Castle, PA - 92 jobs

Federated Hermes Summer Internship Program provides students the opportunity to gain "hands on" experience and develop professional skills as well as the ability to network with talented professionals and gain insight into career possibilities within the asset management industry. The program includes a variety of events to enhance your internship experience, provide information about the firm and foster collaboration. Purpose of the Internship: As an intern within the Global Data Office (GDO), you will be part of an international team that establishes policies and standards for the proper management of critical data across Federated Hermes, support the ongoing operations processes related to data onboarding, meta data management, access management and data governance tool enhancements. The interns will actively participate in strategic design sessions, facilitating our operational processes, working with stakeholders in the US and UK, and interacting with out leadership team. The role will provide a unique insight into several facets of Federated Hermes given the breadth of our scope. Major Duties: * Work in cooperation with the GDO team members to provide insight and support into Federated Hermes data governance framework, policies and processes * Facilitate GDO processes and work with stakeholders to complete tasks in a timely manner * Engage the numerous GDO partners to define use cases to support the adoption of the GDO toolbox * Prepare content for team and leadership meetings including quantitative analysis, data visualization and creating Powerpoint presentations. * Participate in a firm-wide intern "Hack-a-thon" Hours/location: * 8:30 a.m. to 5:00 p.m. * Opportunities available in Pittsburgh and Warrendale locations * Hybrid work arrangement (in office / remote). Expectation is 3 days in the office, 2 days remote Explanatory Comments: * Good analytical skills with an emphasis on attention to detail * Strong communication skills * Strong command of Office products especially Excel and Power Point * Ability to work effectively in a team environment Position Specifications: * 3.2 or better QPA preferred * Course work that covers analytical skills, risk management practices, and/or data management * Course work and hands-on exposure to MS Excel and PowerPoint

As an Analyst - Data Governance, you are responsible for hands-on execution and maintenance of our master data and for enforcing policies and processes around data attributes. You will be part of a business-enabling team that performs day-to-day activities around maintaining master data of customer, supplier and product domains. Additionally, you will work with business owners and data management team to help troubleshoot data issues. **Responsibilities:** + Monitors, validates, and executes data create and change requests in data hub in an accurate and timely manner. + Identifies master data exceptions, and further analyze and resolve exceptions with assistance of master data steward. + Conducts data quality audits and compiles issues and impacts for review and action with business. + Performs basic statistical and relational analysis of large data sets to identify and correct inconsistencies. + Executes data cleansing, data enrichment and testing cycles for ERP upgrades and projects. + Participates in governance projects to identify and implement process improvements and increase efficiency. + Enforces data standards to achieve continued data cleanliness. **Qualifications:** + Bachelor's Degree is required + Technology or Business degree is preferred + 1 year of knowledge of computer system applications: Microsoft Office (E-mail, Excel and Word), Oracle ERP is required; 2 years preferred. + 1 year of knowledge of data domain and business operations is required: 2 years preferred. + 1 year of skills with data handling and manipulation is preferred. + 1 year of experience with master data management and data tools is preferred. + Able to work independently as well as in a team environment. + Strong written, oral communication, and interpersonal skills with a positive disposition. + Strong attention to detail with a passion for accuracy. + Reliable with strong organizational skills and solution-oriented philosophy. + Ability to prioritize tasks and demonstrate a willingness to accept new challenges. + Willingness to accommodate temporary working hour changes as required by workflow and deadlines. + Ability to work effectively with all levels of management to accomplish goals and objectives preferred. + Knowledge of project planning and LEAN process improvement preferred _\#LI-RA1_ At Wesco, we build, connect, power and protect the world. As a leading provider of business-to-business distribution, logistics services and supply chain solutions, we create a world that you can depend on. Our Company's greatest asset is our people. Wesco is committed to fostering a workplace where every individual is respected, valued, and empowered to succeed. We promote a culture that is grounded in teamwork and respect. With a workforce of over 20,000 people worldwide, we embrace the unique perspectives each person brings. Through comprehensive benefits (**************************************************************************** and active community engagement, we create an environment where every team member has the opportunity to thrive. Learn more about Working at Wesco here (******************************************************************* and apply online today! Founded in 1922 and headquartered in Pittsburgh, Wesco is a publicly traded (NYSE: WCC) FORTUNE 500 company. _Wesco International, Inc., including its subsidiaries and affiliates ("Wesco") provides equal employment opportunities to all employees and applicants for employment. Employment decisions are made without regard to race, religion, color, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law. US applicants only, we are an Equal Opportunity Employer. _ _Los Angeles Unincorporated County Candidates Only: Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act._

PITT OHIO, a $900 million, high service, highly profitable, transportation solutions provider offering SUPPLY CHAIN, GROUND, LTL and TRUCKLOAD services is seeking a Business Process Analyst Intern. This internship position is located at our Cheswick, PA Terminal. Responsibilities • Update, remove, and create fuel processes for the Vehicle Maintenance department. • Update cyber security manuals to ensure they reflect current best practices and company policies. • Build Permit Pouches for all 2026 incoming equipment. • Develop and implement process improvement plans for our Fuel Department. • Support project management activities as needed. • Participate in team meetings and contribute ideas for continuous improvement. • Collaborate with the tech department to gather data and create a Vehicle Health Report. Qualifications • Currently pursuing a Bachelor's degree in Business, Data Analytics, or a related field. • Strong analytical and problem-solving skills. • Excellent written and verbal communication skills. • Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint). • Ability to work independently and as part of a team. • Detail-oriented with strong organizational skills. • Previous internship or project experience in process improvement or data analytics. PITT OHIO is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, religion or other legally protected status.

POSITION OVERVIEW The Data Analyst will play a critical role in advancing InVision Human Services' transformation into a data-driven organization. This position is responsible for turning raw data into actionable insights while also helping to shape the structure of the organization's data environment. A key responsibility will be the design and maintenance of layered data models, including the use of views to simplify raw system feeds, curated tables to deliver standardized datasets, and a semantic model that supports self-service analytics in Power BI. This layered approach will reduce redundancy, improve performance, and create a consistent foundation for organizational reporting and decision-making. The analyst will collaborate with stakeholders across all departments to deliver insights that improve operational quality, safety, and satisfaction for employees and the people we support. ESSENTIAL FUNCTIONS: Business Intelligence Development * Collaborate on the implementation and continued enhancement of BI strategy with use of Microsoft Fabric and AI-powered analytics. * Contribute to the foundation for predictive analytics and natural language interaction in Power BI by ensuring high-quality data pipelines and models. * Collaborate with IT leadership to advance the infrastructure needed for AI-driven decision making, aligning daily work with the organization's long-term BI vision. * Design and maintain layered data models to support analytics, including: * Creating SQL views to streamline and standardize raw data structures. * Building curated tables from those views for reliable and reusable reporting datasets. * Supporting a semantic data layer in Power BI that enables governed self-service analytics. * Ensure consistency and accuracy of data definitions and calculations across reports and dashboards. * Partner with IT, consultants, and system owners to enhance the data warehouse architecture and align it with strategic priorities. * Optimize BI solutions for performance, scalability, and long-term sustainability. Data Governance & Integrity * Participate in organizational data governance processes to ensure data is accurate, secure, and properly managed. * Identify and address data quality issues, working with system owners to resolve them. * Support the development of policies, procedures, and standards that strengthen data management practices. Collaboration & Stakeholder Engagement * Engage stakeholders across departments to understand data needs and deliver meaningful insights. * Support QMDC and subcommittee reporting requirements, including quarterly board reports and project tracking. * Provide data literacy guidance to end users, fostering a culture of evidence-based decision-making. Continuous Improvement * Recommend improvements to data collection methods, reporting processes, and BI tools. * Contribute to organizational efforts to embed data literacy and analytical thinking at all levels. * Stay current with emerging trends in BI, data modeling, and visualization to bring forward innovative practices. Behavior Expectations * Model InVision's mission, philosophy, and values in all work. * Uphold diversity, equity, inclusion, and person-centered practices. * Maintain confidentiality and adhere to security and compliance standards. * Foster respectful collaboration, transparency, and problem-solving. EDUCATION and/or EXPERIENCE * Associate's degree in Data Analytics, Information Systems, Statistics, Computer Science, or related field; equivalent experience considered.. * 2-3 years of experience in data analysis, business intelligence, or analytics, preferably in healthcare or human services. * Proficiency in Power BI, SQL (Azure SQL preferred), and Excel. * Experience designing data models and semantic layers for analytics. * Familiarity with relational database concepts, ETL processes, and dimensional modeling (star schema, snowflake). * Experience working with enterprise applications (EHR, HCM/HRIS, financial systems) is preferred. * Knowledge of data governance principles and best practices is an asset. Skills & Abilities * Strong analytical and problem-solving skills. * Ability to translate complex data into clear, actionable insights. * Effective communication skills for both technical and non-technical audiences. * Ability to manage multiple priorities and work independently or in a team. PHYSICAL DEMANDS While performing the duties of this job, the employee is frequently required to stand, walk, sit and talk. The employee must occasionally lift and/or move up to 20 pounds. Specific vision abilities required by this job include close vision, distance vision, and ability to adjust focus. All job requirements listed indicate the minimum level of knowledge, skills, and/or ability deemed necessary to perform the job proficiently. This job description is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. Employees may be required to perform any job-related function as directed by their supervisor.

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: *************************************************************************************** applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: Data Scientist for Medical Document Analysis (Solventum) 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material, and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You'll Make in this Role: As a Data Scientist specializing in medical document analysis, you will work at the forefront of healthcare NLP. You will design, implement, and evaluate advanced natural language understanding (NLU) systems that interpret complex clinical text and support data-driven medical decision making. This includes developing models grounded in transformers, generative AI, and research-oriented neural architectures. You will collaborate closely with clinical domain experts, fellow data scientists, ML engineers, and product teams to bring research prototypes into production systems. You will explore new modeling approaches, optimize training pipelines, and contribute to the long-term direction of Solventum's deep learning portfolio. You Will Make an Impact By: Scoping and designing NLP/NLU applications that support clinical understanding of medical documents and downstream healthcare workflows. Translating business and clinical requirements into mathematical and experimental criteria, ensuring models are measurable, reliable, and auditable. Processing, aligning, and enriching diverse structured and unstructured medical datasets for deep learning, LLMs, and agentic AI systems. Developing and evaluating deep learning models, including transformer-based architectures and neural architectures such as CNNs and attention mechanisms for capturing linguistic patterns in clinical text. Understanding and mitigating model weaknesses, including bias, drift, hallucination behavior, and robustness concerns. Designing experiments and error analyses that explain model behavior and enable clear communication with both technical and non-technical audiences. Deploying models into Solventum's cloud environment, partnering with ML engineering to ensure reliability, observability, and compliance within regulated healthcare systems. Staying current with emerging research in NLP/LLMs, evaluating new methods and identifying opportunities to advance Solventum's deep learning initiatives. Your Skills and Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Master's degree or PhD in computer science, mathematics, or related fields or Bachelor's degree with at least 5 years of IT experience Solid experience in Python especially in deep learning for text analysis and libraries such as PyTorch and Transformers Solid grasp of statistics and exploratory data analysis US citizenship or permanent resident required Additional qualifications that will help you succeed in the role: Experience conducting research-driven NLP/NLU work involving representation learning, attention mechanisms, or hybrid neural architectures. Ability to self-organize across multiple technical and business contexts, communicating complex findings with clarity and confidence. Experience extracting insights from complex clinical datasets and presenting those insights to varied audiences. Familiarity with AWS, GitHub, CI/CD, and scalable ML deployment practices. Hands-on experience with LLMs, prompting, fine-tuning, or agentic AI frameworks. Experience with ETL of large-scale text using tools such as PySpark, Spark NLP, or distributed data frameworks. Exposure to clinical coding systems or medical terminologies (e.g., ICD, CPT, SNOMED) is a plus. Work location: Remote Travel: Relocation Assistance: Not authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.Applicable to US Applicants Only:The expected compensation range for this position is $119,076 - $145,537, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: *************************************************************************************** of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain *****************. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.

As a leading manufacturer and distributor of medical supplies and equipment for healthcare simulation and education, Pocket Nurse provides solutions and services that create hands-on learning experiences for the next generation of healthcare professionals. Our small business philosophy is, “Use your best judgement every day.” Not only do we give team members the guidance and tools to succeed, we give them autonomy to do their best for the company to succeed. This privately held company has been in business since 1992 and is experiencing strong growth year after year. The Data Integrity Coordinator is responsible for ensuring quality data maintenance of product and customer master data records within the ERP system. This role is responsible for the creation and maintenance of master data that are fundamental to Pocket Nurse's business processes that touch and influence our customer's experience. Key Responsibilities and other duties as assigned: Helps implement and support Master Data Management strategies, standards, and policies to ensure consistent governance across customer, product, and vendor master data. Processes field customer and new product master requests, required changes for vendor pricing, and proactively communicates discrepancies or issues. Maintains and analyzes customer master partnerships and related data to ensure proper structure and pricing hierarchies. Ensures data consistency, accuracy, and integrity across master data through regular audits and ongoing data quality monitoring. Leads and executes data cleansing, including exporting and importing projects, to correct inaccuracies and improve overall data quality. Responsible for the item set up required in the ERP system for new, replacement, and substitution items and monitors newly approved items to ensure proper establishment. Uses the New Product Form for all domestic stock items, ensuring accurate and timely entry of product images, descriptions, unit of measure, pricing, SDS, country of origin, NAFTA, and other required attributes. Maintains and updates components of standard and custom simulation supply kit items. Manages item and vendor fields associated with restrictions, compliance, and allergies as provided by vendors, corporate nurse educators, and other product/industry experts. Reviews items for unit of measure (UOM) inaccuracies and recommends corrective actions, understanding the process for correction UOM as well as making Supervisory Responsibilities: This position has no supervisory responsibilities. Education: Bachelor's Degree in Business, IT, or a related field and 2 years of related experience or equivalent of 6 years combination of education and experience. Skills and Experience: Demonstrated experience in master data management, data quality (profiling, cleansing, governance and lifecycle management), and migration, including classification and coding of direct/indirect materials. Hands-on experience with data integration processes, including extraction, mapping, importing, and validation. Strong analytical and problem-solving skills with the ability to profile data, identify root causes of issues, and implement effective solutions. Business acumen with an understanding of how high-quality data support operational efficiency and business objectives. Proficient in Microsoft Excel, including pivot tables and advanced formulas (VLOOKUPS, IF statements, CONCATENATE, rounding and SUM functions). Exceptional attention to detail, ensuring accuracy, consistency, and integrity in all data handling activities. Ability to collaborate cross-functionally with other teams to ensure aligned and reliable master data. Organized and self-motivated, capable of managing multiple priorities, meeting deadlines, and working independently. Benefits and Compensation: Competitive wages and quarterly bonus opportunities. Medical, dental, and vision insurance coverage options. 401(k) with company matching contributions. Paid time off, personal time, paid holidays, and hybrid work schedules. Short-term disability insurance and voluntary long-term disability. Voluntary life, accident, and critical illness insurance. Company-wide lunches and work-day events. On-site fitness center, free parking and dog-friendly offices. Opportunities for career enhancements through training and educational programs. The opportunity to make a difference in the ever-growing healthcare field. Physical and Cognitive Demands: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this position, the employee is regularly required to sit; talk; hear; use hands to finger, handle, or feel; and reach with hands and arms. The employee may occasionally be required to stand; walk; lift and/or move up to 5 pounds. Specific vision abilities required by this job include close vision. No employee is authorized to lift and/or move weight over 50 pounds without assistance. This role requires the individual to be able to understand moderately complex problems, opposing points of view on moderately complex issues, and collaborate and explore alternative solutions; organize and prioritize thoughts, ideas, and own work schedule; apply common sense, analyze and make decisions which have significant impact on the immediate work unit and monitor impact outside immediate work unit; express written and spoken word for internal and external communications, understand, interpret, and follow written and oral instructions, and compose materials such as detailed reports, forms, letters, etc. and communicate information; and compute, analyze and interpret complex data for reporting purposes. Pocket Nurse is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. Information is available here: **************************************************************** If you are made a conditional offer of employment, you will be required to undergo a drug test and background check (including criminal record check).

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

kWantera is a venture-backed startup company dedicated to helping companies manage their energy. Our team of quantitative energy market analysts work with our big data analytics platform to analyze and react to changing market conditions. At kWantera, we promote a highly dedicated, collaborative and creative work environment where our employees take ownership of their role, taking much pride in their work. We aim to continue innovating in the future, giving businesses the upper hand on their energy decisions. Job Description We are seeking for a candidate who is passionate about making a difference in energy industry using data analytics. Energy Data Analyst will act as a bridge between our data science team and the energy market. He/she will use data analysis techniques to find answers to research questions raised by data science team, will evaluate the challenges and opportunities in the market, backing the findings with solid statistics, and will evaluate and analyze our products' performance, providing insightful feedback for improvements, just to count a few of the responsibilities. The ideal candidate is experienced and comfortable with analyzing big data and crunching numbers, is familiar with the electricity wholesale markets in the US, and has programming background, preferably in Python. We are seeking independent and critical thinkers, who are good team players. Qualifications Strong background in data analytics. Must be familiar with basic statistical techniques and metrics, such as implementing and evaluating regression analysis, hypothesis testing, auto-correlation, probability distributions, graphical representations, as well as confusion matrices to evaluate accuracy, precision and error, etc. (Machine Learning background is a plus). Strong understanding of energy markets in US (Previous work experience in the energy domain, or extensive coursework and projects in the area) Familiarity with using Python for data analysis (or equivalent language). A strong sense of ownership A team player Strong verbal and written communication skills Additional Information COMPENSATION Very competitive salary, because you deserve it. Equity in the company, to keep you motivated. 401(k) plan with matching, because we care about your future! PERKS: Unlimited vacation, we work hard and take time when we need it. Medical, dental and vision coverage. Fully stocked fridge, coffee, espresso and tons of snacks to keep us going. Fantastic modern office space in Pittsburgh's Strip District with free parking. Great office environment with exceptionally talented coworkers. kWantera's staff is highly motivated to shake up the status quo of the modern electric and natural gas industries within the United States. Our technology platform, machine learning, and predictive analytics are cutting-edge entrants into the emerging world of Big Data. We seek people who will be similarly passionate about changing the world.

7,000 Diseases - 500 Treatments - 1 Rare Pharmacy PANTHERx is the nation's largest rare disease pharmacy, and we put the patient experience at the top of everything that we do. If you are looking for a career in the healthcare field that embraces authentic dedication to patient care, you don't need to look beyond PANTHERx. In every line of service, in every position and area of expertise, PANTHERx associates are driven to provide the highest quality outcomes for our patients. We are seeking team members who: Are inspired and compassionate problem solvers; Produce high quality work; Thrive in the excitement of the ever-challenging environment of modern medicine; and Are committed to achieving superior health outcomes for people living with rare and devastating diseases. At PANTHERx, we know our employees are the driving force in what we do. We cultivate talent and encourage growth within PANTHERx so that our associates can continue to explore their interests and expand their careers. Guided by our mission to provide uncompromising quality every day, we continue our strategic growth to further reach those affected by rare diseases. Join the PANTHERx team, and define your own RxARE future in healthcare! Location: Pittsburgh, PA (Hybrid or Remote) Classification: Exempt Status: Full-Time Reports To: Data Scientist Purpose The Data Scientist is responsible for data modeling, model deployment, and model training, focusing on leveraging data to improve patient outcomes, optimize pharmacy operations, and support strategic decision-making. The ideal candidate will have experience in healthcare analytics, a strong foundation in statistical modeling and machine learning, and a passion for using data to drive innovation in specialty pharmacy services. Responsibilities Develops predictive models to support business needs. Identify patient adherence risks, optimize medication therapy management, etc. Applies machine learning techniques to uncover patterns in patient behavior, treatment efficacy, and operational efficiency. Translates complex data into actionable insights for pharmacy leadership and clinical teams. Participates in the end-to-end lifecycle of AI projects, from ideation to model deployment and monitoring. Supports strategic initiatives such as value-based care programs, payer reporting, and clinical trial analytics. Works with data engineers to ensure data integrity, accessibility, and security across pharmacy systems. Cleans, transforms, and validates large datasets from EMRs, claims, dispensing systems, and patient engagement platforms. Works with Data Architect to evaluate and implement new tools, technologies, and methodologies to advance the organization's AI capabilities. Communicates complex technical concepts and project outcomes to non-technical stakeholders, including executive leadership. Champions data governance, quality, and security best practices across the organization. Required Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Minimum of one (1) year of professional experience in data science. Proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI). Strong understanding of data privacy, security, and compliance requirements (e.g., HIPAA, GDPR). Excellent communication and stakeholder management skills. Preferred Qualifications Master's in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience with healthcare data standards (HL7, FHIR, NCPDP) and familiarity with HIPAA compliance. Experience with NLP for clinical text analysis. Knowledge of payer-provider dynamics and specialty pharmacy reimbursement models. Familiarity with the Azure cloud platform and Azure Databricks. Work Environment This position operates in a home or professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. Physical Demands While performing the duties of this job, the employee is regularly required to sit, see, talk, or hear. The employee frequently is required to stand; walk; use hands and fingers, handle or feel; and reach with hands and arms. Visual acuity is necessary for tasks such as reading or working with various forms of data for extended periods on a computer screen. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job. Benefits: Hybrid, remote and flexible on-site work schedules are available, based on the position. PANTHERx Rare Pharmacy also affords an excellent benefit package, including but not limited to medical, dental, vision, health savings and flexible spending accounts, 401K with employer matching, employer-paid life insurance and short/long term disability coverage, and an Employee Assistance Program! Generous paid time off is also available to all full-time employees, as well as limited paid time off for part-time employees. Of course we offer paid holidays too! Equal Opportunity: PANTHERx Rare Pharmacy is an equal opportunity employer, and does not discriminate in recruiting, hiring, promotions or any term or condition of employment based on race, age, religion, gender, ethnicity, sexual orientation, gender identity, disability, protected veteran's status, or any other characteristic protected by federal, state or local laws.

Call Liza for more info! ************ Pittsburgh, PA (Hybrid | In-Person 2-3 Days/Week) 💰 $30-$32 per hour | Full-Time (40 hrs/week) Shape the Future of Autonomous Driving We are partnering with an innovative autonomous vehicle company to find a Labeling Analyst who's passionate about quality, precision, and cutting-edge technology. This role plays a critical part in delivering high-quality labeled data used to train and evaluate machine learning models that power real-time, safety-critical autonomous driving systems. If you have a sharp eye for detail, enjoy problem-solving, and like working at the intersection of operations and technology, this is an exciting opportunity to make a real impact. 🔍 What You'll Do As a Labeling Analyst, you'll work closely with internal teams and third-party partners to ensure labeling accuracy and continuous quality improvement. Your responsibilities will include: Reviewing data labels using internal and third-party tools to identify defects, mislabels, or missing labels Documenting findings, updating issue trackers, and writing clear, concise reports Filing bugs and submitting feature requests with detailed documentation Collaborating cross-functionally with technical, operational, and infrastructure teams Helping define tool requirements, executing testing, and creating user-facing documentation Supporting additional tasks such as QA analytics, log selection for labeling, and workflow coordination ✅ What We're Looking For Strong attention to detail and comfort working as an individual contributor Experience using Google Workspace (Docs, Sheets, etc.) Clear written and verbal communication skills Technical aptitude with the ability to collaborate across teams QA experience is a plus-but not required 🧠 Why This Role? Work on cutting-edge autonomous vehicle technology Be part of a growing team supporting business expansion and innovation Gain hands-on experience with real-world machine learning and data QA processes Competitive hourly pay with full-time stability on a long-term contract 🗓 Work Schedule & Location 40 hours per week Hybrid role: onsite 2-3 days per week Candidates must be based in or near Pittsburgh, PA 🧪 Interview Process Technical screening (experience, skills, and fit) 3 technical interview rounds (including a 45-minute Zoom session) Onsite, in-person hands-on assessment 2 non-technical interview rounds #zr

We are searching for a Staff Safety Data Scientist on the Safety Analysis team who is a technical leader and go-to expert for risk and safety guidance, leveraging deep expertise in data science to lead critical safety research. Your insights will drive the safety strategy and external safety communications, including the development of industry-leading, benchmark safety studies and frameworks. The role requires a strong background in risk and hazard assessment and exceptional communication and interpersonal skills. You will be responsible for applying advanced statistical analysis and probabilistic modeling to support the safety case, inform hardware and software decisions, and identify critical risk factors. You will collaborate with diverse stakeholders across engineering, operations, and product. In This Role, You Will: Lead the development of novel quantitative data analytics using both proprietary (Aurora-logged, sensor, system, integration testing data) and publicly available data (CRSS, FARS, state-level information). Author and present technical analyses and findings to diverse internal and external audiences, including stakeholders, authoritative bodies, and industry forums. Design and automate data collection and analysis to support ongoing safety programs. Extract insights from historical system safety performance to develop leading indicators for future performance forecasting. Analyze safety data from operational vehicles, crash metrics, and near-miss incidents to inform safety strategies and decision-making. Develop statistical models and algorithms to predict potential risks and prevent incidents, improving the safety performance of autonomous systems. Model self-driving vehicle behaviors at the system and subsystem levels. Develop and maintain reports and expressions of baseline risk coverage and application in operations. Design and develop expressions of risk benchmarking from similar industries. Create dashboards and reports for communicating risk, ranking, and anomalies. Present safety research findings to senior leadership and recommend actionable improvements to safety protocols and operational systems. Mentor and lead junior team members, fostering their professional growth. Required Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience. 7+ years of progressive experience solving large-scale complex problems. Demonstrated experience in a safety related domain (e.g., transportation, aerospace, robotics, medical devices). Strong understanding of safety principles and risk assessment methodologies; with a proven track record of using data science techniques to solve safety challenges and mitigate risks in a dynamic environment. Deep command of statistical methods, probabilistic modeling, and performing rapid exploratory data analysis. Expertise in data science tools (e.g., Python, SQL, R), statistical modeling, machine learning, predictive analytics, and visualization software (e.g., Tableau, Power BI). Adept at querying, analyzing, and visualizing large datasets. Excellent communication and presentation skills, with the ability to convey complex information to various audiences. Strong leadership skills, with the ability to provide guidance and mentorship. Ability to work independently, as part of a cross-functional team, or as a project lead. Desirable Qualifications Advanced degree in Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience. Experience working in safety and risk, ideally complemented by a portfolio of publications, reports, or conference presentations. Familiarity with rapidly scaling operational environments. Proficient in working with advanced data transformation tools such as DBT. Skilled in building and deploying using Amazon Web Services (AWS) tools. Background in the Autonomous Vehicles, Aerospace, or Robotics domains. The base salary range for this position is $171,000 - $247,000 per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

About the Company At Bloomfield, we are revolutionizing the way crops are monitored and managed. Our AI-powered imaging technology provides continuous, plant-level health and performance insights from seed to harvest. Our mission is to empower farmers with the tools they need to increase crop productivity and quality while using fewer scarce resources, ultimately contributing to a more sustainable and food-secure future. In 2024, Kubota Corporation, a global leader in agricultural machinery and solutions, through its North American subsidiary, Kubota North America Corporation, acquired Bloomfield. This acquisition unites Bloomfield's innovative technology with Kubota's extensive resources and commitment to provide comprehensive smart agriculture solutions to farmers worldwide. Our combined expertise and resources will drive innovation and deliver benefits to farmers, ensuring a more sustainable and prosperous agricultural industry. About the Role Our AI team (7 engineers and scientists, growing) builds the models, data pipelines, and measurement frameworks that power our data products. We are now reorganizing the team into AI Platform and AI Product Streams. Each product stream will include two AI engineers focused on delivering customer-facing features end-to-end. This role sits on a Product Stream and focuses on turning real-world plant imagery into reliable data products for growers. We are looking for an AI Engineer - Product Data Scientist who is passionate about plant-based data, model development, and delivering real value to end-users. You will take an ask from the Product team (e.g., “We are counting citrus; we want to estimate their weight.”) and drive the early phases of the ML lifecycle: data selection annotation strategy data and annotation quality and exploration metric definition model selection and training This role is highly collaborative, hands-on with data, and focused on building AI capabilities that directly impact customers' operations. Responsibilities: Work closely with AI, Product, and Engineering teams to build AI product focusing on value delivered to customer Own the early ML lifecycle: data exploration, curation, annotation strategy, metric design, model prototyping, and experimentation Build quantitative and qualitative frameworks to describe plant behavior and crop characteristics Translate raw plant imagery and sensor data into business insights for specialty crops (e.g., citrus, grapes, berries) Partner with the AI Platform and Data Engineering teams to integrate algorithms into the production data pipeline Contribute to shaping our new AI Product Stream structure and workflows Qualifications: Demonstrated ability to explore and analyze image data to design and implement the early stages of a ML model lifecycle (data selection, exploration, cleaning, model design and training, performance evaluation) comfort working with real-world, messy data Solid Python experience Solid knowledge in Machine Learning and Computer Vision ability to design, conduct, and interpret experiments using appropriate statistical and scientific methods A product mindset - willing to iterate with users, look at thousands of images, define metrics, and refine models Bonus Points: knowledge of plant physiology, plant development, agronomy, or related discipline Experience with high-throughput phenotyping, crop estimation, or yield prediction Experience working with imagery or sensor data in agricultural environments Experience in Deep Learning Experience in C++ What We Offer In addition to the opportunity to apply and develop your skills toward key business objectives, we offer an excellent compensation package including: Competitive base salary & bonus Opportunity to shape the future of AI in agriculture within a small, focused team backed by Kubota Bloomfield is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, sexual orientation, disability, gender identity, protected veteran status, or other protected classes.

On behalf of VetJobs/MilitarySpouseJobs, thank you for your interest. We are assisting our partnering company, listed below, with this position. It is open to Veterans, Transitioning Military, National Guard Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow for next steps. The Hepatology Section is seeking a highly skilled Medical Data Scientist with at least a Master's/MPH and demonstrated experience analyzing large, complex clinical datasets, including transplant, liver disease, and longitudinal outcomes data. This position plays a central role in building a robust, data-driven research program within our academic hepatology group. The Medical Data Scientist will collaborate closely with hepatologists, hepatology trainees, and transplant and collaborators across the spectrum of Total Liver Care at UPMC to support study design, statistical planning, data management, and advanced analytics. This position offers the opportunity to work remotely while also contributing to impactful clinical, epidemiologic, and translational research that advances care for patients with chronic liver disease and liver transplant recipients Job Summary Oversees analytical teams in the extraction, aggregation, and quality assurance of data from multiple clinical data depositories in support of clinical research and departmental projects. Collaborates across business units, coordinates all aspects of research data collection and project oversight, and manages design and implementation of project analysis plan. Prepares documents for peer-reviewed publications, presentations, and sections of grant applications. Essential Functions • Provide statistical expertise for study design, including power calculations, sampling strategies, and methodological consultation. • Manage, clean, and analyze large clinical datasets (e.g., high-dimensional EMR-derived data, registry data, national and institutional and multicenter hepatology and transplant databases, prospective and retrospective cohort data, etc). • Develop and execute statistical analysis plans for manuscripts, abstracts, grant proposals, and assist with hepatology quality improvement initiatives. • Apply advanced statistical methods (e.g., regression modeling, survival analysis, competing risks, longitudinal and repeated- measures models, causal inference, propensity-based methods, etc). Although experience with machine learning and generative AI is desirable, it is not required. • Conduct analyses of hepatology and transplant-related datasets, including, but not limited to: donor-recipient matching, waitlist outcomes, post-transplant outcomes, and longitudinal graft and patient survival. Perform advanced modeling for, but not limited to, cirrhosis progression, hepatocellular carcinoma risk, acute-on-chronic liver failure, and other disease trajectories. • Support development of predictive tools and risk stratification models tailored to hepatology and organ transplant populations. Physical Effort - Work is performed primarily in a sedentary, office‑based environment. - Requires prolonged periods of sitting while using a computer, keyboard, and mouse. - Involves frequent hand and finger manipulation for typing and data entry. - Occasional standing, walking, or moving between workstations or meeting spaces. - May require lifting or carrying light items such as laptops, documents, or reference materials (typically under 10 pounds). - Requires visual focus for extended periods when reviewing data, code, or reports. - Ability to maintain attention and posture during long analytical or computational tasks. The University of Pittsburgh is an equal opportunity employer / disability / veteran. Assignment Category Full-time regular Job Classification Staff.Medical Data Scientist III Job Family Research Job Sub-Family Data Science Campus Pittsburgh Minimum Education Level Required Master's Degree Minimum Years of Experience Required 6 Will this position accept substitution in lieu of education or experience? Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement. Work Schedule Monday-Friday 8am-4:30pm Work Arrangement Hybrid: Combination of On-Campus and Remote work as determined by the department. Hiring Range TBD Based Upon Qualifications Relocation Offered No Visa Sponsorship Provided No Background Check For position finalists, employment with the University will require successful completion of a background check Child Protection Clearances Not Applicable Required Documents Resume Optional Documents Not Applicable

What We Do: Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences. Our team works on a wide range of projects. Our current work includes research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities. If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you! Requirements: BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience. Willingness to complete modest travel to various locations to support the SEI's overall mission. You will be subject to a background check and must be able obtain and maintain a U.S. Department of War security clearance. Knowledge, Skills and Abilities: Experience in predictive modeling, data science, and/or AI & machine learning Deep understanding of statistical modeling techniques and advanced data analytics Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.) Innovative and inquisitive with ability to imagine novel analytical solutions to problems Thrives in a multi-disciplinary environment Strong communication skills Expertise in one or more of the following: Recommendation systems Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.) NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering) Causal inference / uplift modeling / synthetic controls Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow) LLMs / agentic workflows (LangChain/LlamaIndex/Haystack) Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar) Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks) Desired Experience: Experience in cybersecurity and privacy is a plus is a plus Experience in U.S. Govement work and/or with FFRDCs, UARCs an National Labs is a plus Demonstrated ability to learn new concepts and grow into new areas of work Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more! For a comprehensive overview of the benefits available, explore our Benefits page. At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations. Are you interested in an exciting opportunity with an exceptional organization?! Apply today! Location Arlington, VA, Pittsburgh, PA Job Function Software/Applications Development/Engineering Position Type Staff - Regular Full Time/Part time Full time Pay Basis Salary More Information: Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance

We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company's data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance

As an Analyst - Data Governance, you are responsible for hands-on execution and maintenance of our master data and for enforcing policies and processes around data attributes. You will be part of a business-enabling team that performs day-to-day activities around maintaining master data of customer, supplier and product domains. Additionally, you will work with business owners and data management team to help troubleshoot data issues. Responsibilities: Monitors, validates, and executes data create and change requests in data hub in an accurate and timely manner. Identifies master data exceptions, and further analyze and resolve exceptions with assistance of master data steward. Conducts data quality audits and compiles issues and impacts for review and action with business. Performs basic statistical and relational analysis of large data sets to identify and correct inconsistencies. Executes data cleansing, data enrichment and testing cycles for ERP upgrades and projects. Participates in governance projects to identify and implement process improvements and increase efficiency. Enforces data standards to achieve continued data cleanliness. Qualifications: Bachelor's Degree is required Technology or Business degree is preferred 1 year of knowledge of computer system applications: Microsoft Office (E-mail, Excel and Word), Oracle ERP is required; 2 years preferred. 1 year of knowledge of data domain and business operations is required: 2 years preferred. 1 year of skills with data handling and manipulation is preferred. 1 year of experience with master data management and data tools is preferred. Able to work independently as well as in a team environment. Strong written, oral communication, and interpersonal skills with a positive disposition. Strong attention to detail with a passion for accuracy. Reliable with strong organizational skills and solution-oriented philosophy. Ability to prioritize tasks and demonstrate a willingness to accept new challenges. Willingness to accommodate temporary working hour changes as required by workflow and deadlines. Ability to work effectively with all levels of management to accomplish goals and objectives preferred. Knowledge of project planning and LEAN process improvement preferred #LI-RA1

PITT OHIO, a $900 million, high service, highly profitable, transportation solutions provider offering SUPPLY CHAIN, GROUND, LTL and TRUCKLOAD services is seeking a Business Process Analyst Intern. This internship position is located at our Cheswick, PA Terminal. Responsibilities * Update, remove, and create fuel processes for the Vehicle Maintenance department.• Update cyber security manuals to ensure they reflect current best practices and company policies.• Build Permit Pouches for all 2026 incoming equipment.• Develop and implement process improvement plans for our Fuel Department.• Support project management activities as needed.• Participate in team meetings and contribute ideas for continuous improvement.• Collaborate with the tech department to gather data and create a Vehicle Health Report. Qualifications * Currently pursuing a Bachelor's degree in Business, Data Analytics, or a related field.• Strong analytical and problem-solving skills.• Excellent written and verbal communication skills.• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).• Ability to work independently and as part of a team.• Detail-oriented with strong organizational skills.• Previous internship or project experience in process improvement or data analytics. PITT OHIO is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, religion or other legally protected status.

Federated Hermes Summer Internship Program provides students the opportunity to gain "hands on" experience and develop professional skills as well as the ability to network with talented professionals and gain insight into career possibilities within the asset management industry. The program includes a variety of events to enhance your internship experience, provide information about the firm and foster collaboration. Major Duties: * Work in cooperation with Business Systems Analysts to provide analysis support for various business units throughout Federated Hermes. * Conduct business analysis and assist in the creation of requirements specifications, test cases/scripts and execute testing of applications. * Participate in a firm-wide intern "Hack-a-thon" Hours/Location: * 8:30 a.m. to 5:00 p.m. Monday - Friday during the summer * Warrendale, PA 15086 (hybrid work arrangement) Explanatory Comments: * Good analytical skills with an emphasis on attention to detail * Above average written and oral communication skills * Ability to work effectively in a team environment Position Specifications: * Currently pursuing a degree in Information Systems or comparable business/systems analysis-oriented program; or pursing a business degree with information systems related minor required * Information technology experience or relevant coursework in business systems analysis or information technology required * 3.2 or better QPA preferred * Coursework pertaining to: Software development life cycle, structured analysis and design; business systems analysis methodologies, including exposure to SQL, GUI design highly preferred * Course work and hands-on exposure to Oracle and / or SQL Server preferred