Data Science Internship Jobs in Dover, PA

The Data Science Intern will support various data-driven projects aimed at enhancing our research and development initiatives. The intern will be involved in tasks that may include data engineering, data science, and data visualization to improve our data capabilities and drive innovation in construction materials. The intern will collaborate closely with cross-functional teams to analyze data, build models, develop visualizations, and implement data solutions that support decision-making processes across the organization. Duties and Responsibilities: * Assist in the collection, cleaning, and transformation of data from multiple sources to support various R&D projects. * Develop and maintain data pipelines to ensure accurate and efficient data flow and processing. * Build and optimize machine learning models to extract insights and forecast trends. * Collaborate with the team to design, develop, and implement data visualizations and dashboards using tools like Power BI, Alteryx, or similar. * Perform exploratory data analysis to identify patterns, trends, and correlations within large datasets. * Participate in the documentation of data models, methodologies, and findings. * Contribute to the integration of advanced data science techniques (e.g., computer vision, natural language processing) into existing processes. * Present analysis results and findings to stakeholders through reports, visualizations, and presentations. * Stay up-to-date with the latest trends and best practices in data science, machine learning, data engineering, and Generative AI. * Support the team in evaluating and adopting new technologies and methodologies by staying up-to-date with the latest trends and best practices in data science, data engineering and Generative AI.

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, 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 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 (Technical Leadership) 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. Understand and identify opportunities to more responsibly leverage cutting edge technology. 5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. 6. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. 7. Intellectual curiosity and drive, decisiveness, with ambiguity and complexity. **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 9. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development. 10. Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance. 11. Experience framing and communication skills. **Preferred Qualifications:** Preferred Qualifications: 12. Masters or Ph.D. Degree in a quantitative field. 13. Experience with predictive modeling, machine learning, and experimentation/causal inference methods. **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Spectrum is seeking a talented Supply Support Analyst (Data Analysis) who will leverage their experience and abilities to provide analytical and programmatic support to the V-22 Readiness at our customer site in Philadelphia, PA. As a pivotal member of the team, you will handle the following: Key Abilities and Responsibilities: Provide model for predicting future demands in support of fleet and depot repairs. Provide Analytic toolset for analyzing RCB degrader list Provide monthly inputs to senior officials on the status of readiness initiatives. Identify risks to the program enabling corrective actions to formal readiness initiatives. Provide analysis of Program data and report findings. Supply weekly/monthly reports to leadership and other stakeholders. Develop toolsets that identify the critical linkage between engineering data, provisioning data, failure data, material consumption data, and maintenance feedback to enable improved support for Organizational, Intermediate, and Depot repair activities. Compile data that measure the effectiveness of allowance packages for maintenance and repair of V-22 aircraft and make recommendations for improved effectiveness where possible. Provide continuous input and update of current data to ensure trends and get-well dates are established. Required Skills and Experience: Minimum of 5 years of experience supporting DOD supply/logistics. Minimum of 3 years of experience in the field of Navy aviation Minimum of 2 years of experience with LOGCELL, TABLEAU, and ERP systems Advanced computer skills, including proficiency with MS Office Suite, especially Excel and Access. Familiarity with project management Ability to analyze, interpret and present data as well as detect trends to assist in management decisions. Education: N/A Security Clearance: N/A Spectrum is proud of our diverse workforce and diligently committed to remaining an Equal Opportunity Employer. Spectrum governs all employment related decisions without regard to an individual's race, color, sex, religion, national origin, age, disability, veteran status or any other protected classification. [EEO/AA/Protected Veterans/Individuals with Disability employer].

Responsibilities Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, RadNet is Leading Radiology Forward. With dynamic cross-training and advancement opportunities in a team-focused environment, the core of RadNet's success is its people with the commitment to a better healthcare experience. When you join RadNet as our Physician Data Coordinator, you will be joining a dedicated team of professionals who deliver quality, value, and access in the 21st century and align all stakeholders- patients, providers, payors, and regulators achieve the best clinical outcomes. JOB SUMMARY The Physician Data Coordinator will be responsible for validating, updating and inputting demographics and other information related to our referring community in the corresponding fields of our electronic health data system both timely and accurately to maintain the integrity of our system. The Physician Data Coordinator will work directly with the Physician Data Manager and the Senior Physician Data Coordinators while responding accordingly to the requests of both. You will: Inputs text based and numerical information from multiple sources such as spreadsheets, emails, CRM or other into corresponding fields within RadNet's electronic data system (eRIS). Manages documents, emails or CRM to confirm data was entered or task was completed. Reviews data for deficiencies or errors and corrects any incompatibilities if possible. Researches and/or makes contact to obtain further information for incomplete information. Compiles and sorts information according to priorities. Contacts referring community (staff/office contact) via phone to validate specific information and provides and obtains thorough and accurate information to all customers. Data is to be prepared and entered efficiently, timely and accurately at all times. If You Are: Proficient in typing and filing. Knowledge of correct spelling, grammar and punctuation. Time-management skills. Attention to detail. Physician Data Coordinator. Proficient in Microsoft Office while demonstrating a proficient knowledge of computer skills and web-based programs. One to two years' experience in a data entry or medical office environment preferred. High School diploma or GED. Ideal Candidate will possess: Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, patients, visitors, and vendors. Demonstrates initiative, personal awareness, professionalism and integrity, and exercise confidentiality in all areas of performance. Follows all local, state and federal laws concerning employment to include but not limited to: I-9, Harassment, EEOC, Civil rights and ADA. Follows OSHA regulations, RadNet and site protocols, policies and procedures. Follows HIPAA, compliance, privacy, safety and confidentiality standards at all times. but not limited to: I-9, Harassment, EEOC, Civil rights and ADA. Follows OSHA regulations, RadNet and site protocols, policies and procedures. Follows HIPAA, compliance, privacy, safety and confidentiality standards at all times.

The Franklin Skills mission is about connecting passionate, eager, and highly motivated technology talent with employers. We work with large Fortune 500/1000 companies across the country who hire apprentices from our pre-apprenticeship program with no prior IT experience. This is the perfect ground-floor opportunity for the tech-minded candidate looking for a career start, without taking on the debt of college classes or boot camps. After an initial assessment and verification of your eligibility, we will provide you with access to our Pre-Apprenticeship training, with supported learning activities related to CompTIA Data+. The program includes self-directed virtual training and group coaching sessions with a Franklin Success Coach. What you can expect to learn: CompTIA Data+ Microsoft SQL Ultimate Excel VBA Upon successful completion of the pre-apprenticeship course, qualified applicants will be selected to interview with one of our partner companies and continue into our year-long apprenticeship. As a full-time apprentice, you will earn while you learn, supported by a Franklin Success Coach. You will gain industry-recognized certifications, earn wage increases, and learn on the job from experienced peers, mentors, and managers. Our apprenticeship and pre-apprenticeship opportunities offer you the opportunity to build skills to grow your career in the technology field. Apply today!

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.

**What Data Analytics brings to Cardinal Health:** The Data & 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 Analytics applies business process knowledge and data analytics to develop, recommend and communicate timely, accurate, relevant and actionable insights to support business decisions and objectives. **Department Overview:** The Quality Management organization is focused on ensuring products and services are reliable, safe, and effective. **Responsibilities:** + Understands business rules and data flow to recommend appropriate measures and provide relevant monthly/ad hoc reporting + Leverages business and data knowledge to identify problem areas and develops dashboard/interactive reporting solutions + Uses analytical/statistical skills to identify trends which should be flagged to stakeholders for action + Maintains existing reporting structures through accuracy validation, adjustments from underlying data sources, etc + Assists in development of presentations for monthly/quarterly review + Identifies opportunities to automate/enhance manual reporting tasks + Partners with stakeholders to understand business goals; determines if outcomes can be achieved through analytical approach + Identifies key data requirements and acquires data; performs data cleaning and wrangling to ensure is suitable for analysis/visualization + Serves as a liaison between technical and business stakeholders **Qualifications:** + Bachelor's degree in related field, or equivalent work experience, preferred + 4-8 years of experience, preferred + Professional experience in an analytical role performing reporting and statistical analysis, preferred + Intermediate to advanced Excel knowledge, preferred + Intermediate to advanced SQL knowledge, preferred + Intermediate to advanced Tableau/Power BI knowledge, preferred + Previous experience with Alteryx preferred + Previous experience with statistical programming languages (Python/R, etc) preferred + Previous experience working within quality management system analytics/medical device analytics preferred + Strong communication skills (written and interpersonal) with an ability to explain quantitative analysis in business terminology + Ability to individually complete tasks based on larger assigned projects **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** : $79,700 - $113,800 **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: 5/2/2025 *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-MP1 \#LI-remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

**Sponsorship:** **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.** **Hybrid or Remote:** This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, or Milford], you are expected to report to that location three times a week, at minimum. **"A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review."** **The Role** The Product Safety Data Analytics team is seeking a technical leader with an extensive hands-on experience in the full end to end data science lifecycle for artificial intelligence & machine learning. This technical leader role requires extensive programming and statistical techniques to both solve complex problems and provide guidance to a team of data scientists that are focused on AI/ML. If you're passionate about driving innovation through AI/ML and are a proven technical leader, this role offers an exciting opportunity to contribute to impactful projects in a dynamic team environment. As the Machine Learning Technical Lead, you will be responsible for working with our customers to understand their challenges and needs, develop new machine learning solutions, provide updates to existing production models, lead ML Ops in a cloud environment, develop proof of concepts for new generative AI solutions as well as providing technical expertise and guidance to a team of Data Scientists. **What You'll Do** + Train new machine learning models to solve complex business problems + Enhance existing machine learning models to increase performance and adapt to our changing business landscape + Prototype new AI solutions, including Generative AI, to solve business problems + You provide guidance on business problems using statistical methods and can craft ad-hoc reports to share findings and recommendations with business partners + Build statistical models that depict company-wide trends. + Perform testing and validation of data sets + Challenge of determining the meaning of data and explaining how various teams and leaders can leverage it to improve and streamline their processes + Keeping defined structures in documentation and data and have a large toolset in statistical methodologies to tackle business problems **Additional Job Description** **Your Skills & Abilities** + Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field + 7+ years of experience in machine learning, engineering, data science, or a related field + Candidate must be recognized as the SME or "go to" person for Machine Learning. You must have experience with many different forms of machine learning such as linear regression, decision trees, support vector machines, random forest, gradient boosting, PCA, CNN, LLMs and/or Generative AI. You must be able to use Machine Learning to solve complex problems in prior or current experiences and generally be considered a lead data scientist for AI/ML. + Looking for Extensive Experience in the flowing: + **Programming & Frameworks** : **Python** , R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL + **Machine Learning & AI** : Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering + **Data Engineering** : Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering + **Cloud & Big Data Platforms: (Preferred** Microsoft Azure (Data Lake, Machine Learning, Databricks)), **Nice to Have** (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) ) + **Deployment & MLOps:** **MLflow** , Model Monitoring & Versioning, Docker & Kubernetes, **GitHub** , Jira + **Data Analysis & Visualization** : Tableau, PowerBI, Pandas, NumPy + Proven track record providing technical leadership in AI/ML + Excellent communication and collaboration skills, with the ability to work effectively in a team environment + Strong problem-solving mindset and a proactive attitude towards learning and self-improvement **What Will Give You A Competitive Edge (Preferred qualifications)** + Masters Degree in Computer Science, Engineering, Mathematics or related field + Extensive NLP solutions from business problem statement to deployment and ongoing optimization + Expertise with Large Language Models solutions from business problem statement to cloud deployment that have provided significant incremental business value + Experience with generative AI solutions that you have developed and deployed into a production environment that have provided significant incremental business value + Experience indirectly leading a team of data scientists to exceed customer expectations **This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.** **Compensation:** + The expected base compensation for this role is $110,000 - $172,100 USD Annually + 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. **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.

About the Role Donegal Insurance Group has an opening for a Data Scientist (III or IV). The Data Scientist is responsible for developing predictive models and complex analytical solutions. may be preformed remotely or onsite at our Marietta, PA corporate office. Job Summary * Develop predictive models and complex analytical solutions in support of Underwriting, Pricing, Claims, and Marketing. * Provide requirements or build tools to integrate analytical solutions to enhance decision-making and/or refine operations * Interpret results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining * Design, develop, and implement business solutions for the organization * Prepare big data, implement data models and develop database to support the business solutions * Work on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Goals are generally communicated in solution or project goal terms. * Serve as a leadership role for the work group through knowledge in the area of specialization. Responsibilities and Duties * Identify business trends and problems through complex big data analysis * Use various quantitative modeling techniques to analyze company specific experience and external data to better market, price, and underwrite company products * Develop financial and/or quantitative models to gauge the impact of corporate decisions * Ensure duties are performed in adherence to all Federal, State, and Local laws and regulations * Comply with guidelines, policies, and directives outlined in the company handbook and department manuals * Provide timely, courteous, and quality customer service to customers * Clearly demonstrate commitment and participation to team goals and objectives * Reliable attendance and punctuality Qualifications and Skills * Experience dependent on the level of Data Scientist. The current opening requires a minimum of 3 years of experience, at least 5 years experience preferred * Experience working with property/casualty insurance preferred * Bachelor's Degree in Data Science, Data & Analytics, Mathematics, Statistics, Actuarial Science or related field * Master's Degree or continuing education in a similar field preferred * PC skills to include: * Python * A Python model framework (Sklearn, Keras, H2O, Tensorflow, etc.) * Flask / Django exposure (or other web development framework exposure) for deployment focused role * Pandas package (+ data wrangling skills) * Additional preferred skills: * SQL * Docker * Linux command line * git * Data visualization * Hardware requirements * Database platforms * Industry specific software applications applicable to performance of position responsibilities * Microsoft Office applications Starting Pay: The pay range for this position is $100,000 to $140,000 annually. The specific offer will vary based on an applicant's education, qualifications, professional experience, skills, abilities, and any applicable designations/certifications. The posted pay range reflects our ability to hire at different position titles and levels depending on background and experience. The pay range may also be adjusted based on an applicant's geographic location. The base pay is just one component of Donegal's total compensation package for employees. This role may also be eligible to participate in a discretionary annual incentive program. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan. Application deadline to apply is March 14, 2025. For full consideration, applications must be received by the deadline; however, the posting will be kept open until the position is filled.

Delivers insights on potential areas of optimization, improvement, and growth. Partners with cross-functional teams to create coordinate data architecture strategies. Responsible for knowledge sharing of Data Analytics best practices to the broader company. Collaborates with business units and management to identify Key Performance Indicators (KPIs) for data capture and reporting across the business. + Work with the SI and technical and functional leads to provide advice and support to the JPMO on the development of data management plans for data migration. + Assist the JPMO with the establishment of a Data Management IPT and facilitate subsequent Data Management IPT activities. + Work with the SI and provide advice and support to the JPMO on the development of the high-level strategy for Data Management and Conversion that provides a roadmap for performing the migration of data from legacy systems to the new modernized system. + Assist in the establishment of Data Security and Management Policy, Processes, and Procedures. + Ensure compliance with all Data Security mandates (DHS and JPMO). + Attend data conversion meetings, review products, ensure all data anomalies are addressed before migration to the new system and that reconciliation between systems, ledgers, etc. are completed. + Attend all data management and conversion meetings. Provide meeting minutes, notes, briefs, etc. as required for stakeholders and management meetings. + Support the JPMO Data Management lead in the oversight and review of all data management plans and artifacts. + Review plans developed by the SI and support the implementation of data management, data cleansing, data dictionaries, data migration, data conversion, data archiving, backup and recovery plans, and products. + Review Component legacy system data and ensure an accurate understanding of the data elements, structures, and quality is recorded. + Setup staging environments for data cleansing and conversion activities. + Assist Components in preparing for migration of legacy data into a new integrated financial, procurement, and asset management system such as executing mock data conversions and cutover activities. + Support Departmental and Component level Business Intelligence (BI) and Data Warehouse (DW) efforts in conjunction with third-party BI/DW offerings. + Work with the Requirements IPT lead to identify Component reporting requirements. + Work with the JPMO and the SI to facilitate the design and development of report and query designs. + Work with the SI and Functional Testing lead and provide advice to the JPMO on the development of test scripts for reports and ensure the data is reported as expected. + Work with the third-party provider to resolve and report defects and to test the report until all issues are resolved. + Perform data mining and analysis. + Attend, facilitate, and take minutes for meetings, as needed/requested. + Act as project manager as needed for working groups. **Minimum Qualifications** + Bachelor's Degree in Engineering, or a related scientific or technical discipline, or equivalent relevant experience + 5-10 years of overall work experience, 2+ years experience in the areas of data analytics, developing dashboards and data models **Other Job Specific Skills** + Possesses and applies expertise on multiple complex work assignments. Assignments may be broad in nature, requiring originality and innovation in determining how to accomplish tasks. + Operates with appreciable latitude in developing methodology and presenting solutions to problems. + Contributes to deliverables and performance metrics where applicable. + Design strategies for enterprise database systems and set standards for operations, programming, and security. + Design and construct large relational databases. + Integrate new systems with existing warehouse structure and refine system performance and functionality. + Intermediate proficiency level with Atlassian/Confluence/Jira + Advanced proficiency level with Microsoft application skillset **Compensation Ranges** Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees. **EEO Requirements** It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies. All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment. Physical Requirements The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions. **Disclaimer** The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. $69,700 - $83,000 EEO Requirements It is the policy of ASM that an individual's race, color, religion, sex, disability, age, gender identity, veteran status, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies. All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, veteran status, disability, gender identity, or age. All decisions on employment are made to abide by the principle of equal employment.

Schneider Electric has a great opportunity for a Logistics Quality Data Analyst Intern in our Mechanicsburg, PA facility during Summer-Fall 2025. requires the ideal candidate to be located in the general area. This internship will be full-time. No visa sponsorship or relocation will be provided for this role. Schneider Electric creates connected technologies that reshape industries, transform cities, and enrich lives. With over 135,000 employees thriving in more than 100 countries, our technology, software, and services improve the way our customers manage and automate their operations, ensuring Life Is On everywhere. As a Logistics Quality Data Analyst Intern, you will have the following responsibilities: Analyze logistics data to identify trends, anomalies, and areas for improvement. Assist in the development of quality metrics and dashboards to monitor logistics performance. Collaborate with cross-functional teams to ensure data integrity and accuracy. Support the identification and implementation of process improvements based on data insights. Prepare reports and presentations to communicate findings to stakeholders. Participate in quality assurance initiatives to enhance operational efficiency. What qualifications will make you successful for this role? Currently pursuing a degree in Computer Science, Inudstrial Engineering, Mathematics, and othe rrleated fields. Strong analytical skills with proficiency in Excel and data visualization tools (e. g. , Tableau, Power BI, SQL and Programing language (R)). Familiarity with database management and data analysis techniques. Excellent attention to detail and problem-solving abilities. Strong communication skills and the ability to work collaboratively in a team environment. Self-motivated and eager to learn about logistics and quality management. Can commute on-site and work 40 hours per week. Let us learn about you! Apply today. You must submit an online application to be considered for any position with us. This position will be posted until filled. #Intern Looking to make an IMPACT with your career? When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world. We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one. Become an IMPACT Maker with Schneider Electric - apply today! €36 billion global revenue +13% organic growth 150 000+ employees in 100+ countries #1 on the Global 100 World's most sustainable corporations You must submit an online application to be considered for any position with us. This position will be posted until filled. Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

Note: Need 7 + years Experienced candidate. Job Description: Responsibilities: 1.Data Solutions Development: Collaborate closely with the OVR team to assess the current state of data management and reporting in CWDS. Develop a comprehensive plan to address identified issues and enhance data management practices. Propose solutions to streamline processes and improve accuracy. 2.Reporting and Analysis: Create standard and ad hoc reports based on OVR's reporting needs. Design report templates and generate reports as required. Aggregate and analyze the data as per the requirements. Investigate and address flaws in the current CWDS tracker system. 3.Deliverables: Comprehensive plan for improving OVR's data management in CWDS Standard Ad-Hoc reports as needed by OVR A revised system and reports for tracking of Measurable Skills Gains, Credential Attainment, Pre-ETS(Pre-Employment Transition Services), and OVR performance data. Aggregate and analyze the data as per the requirements. A plan for integrating the Pre-ETS and Vocational Rehabilitation Systems. The incumbent should have advanced data analytical skills, leadership abilities and lead responsibility for the following activities within the assigned project. Design and create Ad-hoc reports in Business Object Enterprise (BOE) business intelligence reporting system from CWDS database based of the data need. Engage as Liaison between business partner agency and information technology (IT) staff including Project Manager and internal/vendor development staff. Possess the ability to interact with various staff levels including senior executive managers. Involved in planning and coordinate overall testing efforts to include test plan, creation, and execution of test scenarios for system integration testing (SIT) and User Acceptance Testing (UAT). Orchestra coordination and execution of Training Plan including development of training materials, quick reference guides, and standard operating procedures manuals. Ensure compliance with all applicable Commonwealth information technology policies and EBR-DC guidelines, security, and related standards. Analyze legislation or other business documentation to determine any necessary IT system or business process changes that are required. Ensures proper escalation to appropriate management of issues and potential project risks including compliance risks or limitations of available information technology services risks impacting development completion or impacts to schedules Execute systematic problem-solving activities by ensuring that issues are reviewed and evaluated based on relevant criteria impacting decision and outcomes. Ability to manage multiple projects and tasks at the same time while ensuring focus on completing quality activities and meeting timelines for each. As business partner ‘Business Owner' define and classify problems, evaluating possible outcomes, and recommending proposed solutions. Exhibit effective oral and written communication skills ensuring that proper levels of details are relayed depending on the audience as interaction with peers, managers, and executive management will be required. Exhibit ability to work both independently and develop relationships with cross-functional team of resources. Plan, coordinate and facilitate internal business partner session reviews of existing system functionality and potential new system enhancements and/or system requirements.

Members Achieve More isn't just a tagline for us, it's part of everything we do! We're looking for passionate individuals to join our team to help us maintain that focus every day. Want to work somewhere that's remained strong for 90 years, that encourages you to learn, grow, and pursue your dreams? If yes, then read on... The Data Analyst Intern will report directly to the Business Intelligence Manager and is responsible for creating standard or ad hoc queries or reports to extract data from disparate databases or data sources. The Data Analyst Intern analyzes data to produce dashboards, metrics, or insights and identify trends or anomalies. Additionally, this role may support advanced analytics initiatives including data mining, statistical analysis, and predictive modeling efforts. Schedule: Hours are between 8:00am-4:00pm, based on summer/class schedule. Onsite 1 day a week during summer, remote during school year. In this position, you will Data Analysis - Pull and Analyze data and build models that are used by the business or organization to support decision making. Provides technical assistance to users in order to insure the efficient procurement of data. Experience with SQL, R, and Python. Reporting - Familiar with modern business intelligence tools like Power BI, Tableau, Looker. Use detailed specifications from which reports and dashboards will be written. Reports will be designed, coded, tested, debugged, documented and maintained using business intelligence standards. Provides quality report services to user processes within the organization. Quality report services include cooperative design, effective implementation, adequate documentation and continual support of BI reports. Ability to analyze BI reports and respond with suggestions for imrovements and enhancements. Other - Under supervision provides security, accuracy, integrity, availability, performance, and validity to all credit union data and all reports. Under immediate supervision, assist in research and fact-finding. Participate with other specialists to improve and/or convert legacy reports to the Credit Unions BI solution. Provide training and assistance to users for generation of ad-hoc reports Other duties as assigned. Qualifications: Required & Prefer High School (Required) Reasonable accommodation may be made to enable a qualified individual with a disability or disabilities to perform the essential duties and responsibilities of the job. Physical Demands and Sensory Abilities: Repetitive movement of hands and fingers (e.g. typing, writing). Lifting and carrying containers weighing as much as 20-30 pounds (e.g. to/from building and vehicle to a storage area). Sitting for long periods of time (e.g. at a desk, in meetings). Ability to reach above, at, and below the waist. Ability to reach above, at, and below shoulder level. Occasional bending, kneeling, stooping and/or squatting. Visual acuity. Auditory acuity. LI-Hybrid

Department: Data & Analytics / Business Operations Type: Internship (Part-Time or Full-Time/ Summer 2025) We are looking for a curious, detail-oriented Business Analyst Intern to support our data lineage and data documentation efforts. As a key part of our data team, you'll help track how data moves across our systems, improve transparency, and ensure data is being used accurately and efficiently. This internship is ideal for students or recent graduates interested in business analysis, data governance, and data management, and offers hands-on exposure to how organizations manage complex data ecosystems. Responsibilities: Assist in mapping data flows across business systems, identifying how data is sourced, transformed, and used. Help document data lineage, metadata, and dependencies using internal tools and documentation platforms. Support the creation of process diagrams, data dictionaries, and system interface documentation. Collaborate with business stakeholders and technical teams to gather information about data movement and usage. Contribute to data quality and governance initiatives by identifying gaps or inconsistencies in data documentation. Participate in team meetings, status updates, and ad hoc research tasks related to data analysis and operations. Qualifications: Currently pursuing a Bachelor's degree in Business, Information Systems, Computer Science, Data Analytics, or a related field. Strong attention to detail and interest in understanding how data works behind the scenes. Basic understanding of data concepts like databases, ETL, and metadata (bonus if you've used SQL). Comfortable working with process mapping tools (e.g. Visio) or eager to learn. Effective communication and collaboration skills. Eagerness to learn, ask questions, and contribute to a team environment. Nice to Have (but Not Required) Exposure to BI tools (e.g., Tableau, Power BI) or data cataloging platforms (e.g., Alation, Collibra). Prior internship, class project, or coursework related to business analysis or data governance. Curiosity about data privacy regulations and how companies ensure compliance. What You'll Gain Real-world experience in business and data analysis. Mentorship from experienced professionals in data and analytics. Exposure to industry tools, practices, and documentation standards. A chance to contribute to meaningful projects that support enterprise data strategy. EEOC Statement Rolka Loube is proudly an equal employment opportunity and equal professional advancement employer. Employment decisions at Rolka Loube are based on merit, qualifications, and abilities. It is our policy that Rolka Loube does not discriminate in employment opportunities on the basis of race, religion, color, sex, age, marital status, national origin or ancestry, citizenship, physical or mental disability, sexual preference/orientation or veteran status with regard to any position or employment for which the applicant or employee is qualified.

Greetings from Fabergent, Kindly let me know if you are currently available in the job market Feel free to reach me on ************ or tissa ATfabergent.com Please respond with your updated profile if interested Job Title : Data Scientist Duration: 6 months Job Description: • 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 Additional Information All your information will be kept confidential according to EEO guidelines.

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI. The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment. Just as the non-technical skills are important, so too are the technical. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team uses mostly Python and SQL, with occasional work in other languages (e.g., R, Pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients. In this role you'll help the team: Co-develop production-level data science projects with our customers Analyze and investigate various kinds of data and machine learning applications across industries and use cases Help users discover and master the Dataiku platform, via user training, office hours, and ongoing consultative support Provide data science expertise both to customers and internally to Dataiku's sales and marketing teams Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku's functionality You might be a good fit for the role if you have: Fluent in English and advanced/fluent level in German Curiosity and a desire to learn new topics and skills Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku's customers, and the general public The ability to clearly explain complex topics to technical as well as non-technical audiences 2 - 10 years of experience with Python and SQL 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn) Familiarity with data visualization in Python, R Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL Technical skills that may help you in the role: Experience with Consulting and/or Customer-facing Data Science roles Experience with Data Engineering or MLOps Experience developing WebApps in Javascript, RShiny, or Dash Experience building APIs Experience using enterprise data science tools Passion for teaching or public speaking What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you'd like to learn even more about working here, you can visit our Dataiku LinkedIn page. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

About the Role Donegal Insurance Group has an opening for a Data Scientist (III or IV). The Data Scientist is responsible for developing predictive models and complex analytical solutions. may be preformed remotely or onsite at our Marietta, PA corporate office. Job Summary Develop predictive models and complex analytical solutions in support of Underwriting, Pricing, Claims, and Marketing. Provide requirements or build tools to integrate analytical solutions to enhance decision-making and/or refine operations Interpret results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining Design, develop, and implement business solutions for the organization Prepare big data, implement data models and develop database to support the business solutions Work on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Goals are generally communicated in solution or project goal terms. Serve as a leadership role for the work group through knowledge in the area of specialization. Responsibilities and Duties Identify business trends and problems through complex big data analysis Use various quantitative modeling techniques to analyze company specific experience and external data to better market, price, and underwrite company products Develop financial and/or quantitative models to gauge the impact of corporate decisions Ensure duties are performed in adherence to all Federal, State, and Local laws and regulations Comply with guidelines, policies, and directives outlined in the company handbook and department manuals Provide timely, courteous, and quality customer service to customers Clearly demonstrate commitment and participation to team goals and objectives Reliable attendance and punctuality Qualifications and Skills Experience dependent on the level of Data Scientist. The current opening requires a minimum of 3 years of experience, at least 5 years experience preferred Experience working with property/casualty insurance preferred Bachelor's Degree in Data Science, Data & Analytics, Mathematics, Statistics, Actuarial Science or related field Master's Degree or continuing education in a similar field preferred PC skills to include: Python A Python model framework (Sklearn, Keras, H2O, Tensorflow, etc.) Flask / Django exposure (or other web development framework exposure) for deployment focused role Pandas package (+ data wrangling skills) Additional preferred skills: SQL Docker Linux command line git Data visualization Hardware requirements Database platforms Industry specific software applications applicable to performance of position responsibilities Microsoft Office applications Starting Pay: The pay range for this position is $100,000 to $140,000 annually. The specific offer will vary based on an applicant's education, qualifications, professional experience, skills, abilities, and any applicable designations/certifications. The posted pay range reflects our ability to hire at different position titles and levels depending on background and experience. The pay range may also be adjusted based on an applicant's geographic location. The base pay is just one component of Donegal's total compensation package for employees. This role may also be eligible to participate in a discretionary annual incentive program. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan. Application deadline to apply is March 14, 2025. For full consideration, applications must be received by the deadline; however, the posting will be kept open until the position is filled. To apply, please submit your resume and online application Competitive Benefits Package Donegal Insurance Group offers a comprehensive benefits package for all full-time, permanent positions including: Medical, Dental, and Vision Coverage: Available to you and your dependents. Coverage begins the first of the month after start date. 401(k) with the first 3% matched at 100%: the next 6% is matched at 50% Paid Time Off: Paid vacation, sick days, paid holidays, & bereavement days Career Development: Including college partnership discounts and industry designation(s) reimbursements Additional benefits include company-paid basic life insurance; short & long-term disability insurance; employee stock purchase plan; and employee assistance program (EAP). Learn more about our full benefit offerings by visiting our Benefits page. Who We Are Donegal Insurance Group provides commercial and personal insurance products through a network of independent agents in 21 states and across several regions of the U.S. In Texas, Colorado, Utah, New Mexico and Arizona, business is conducted under the Mountain States Insurance Group name; and in Michigan, business is conducted under the Michigan Insurance name. Headquartered in Lancaster County, Pennsylvania, along with four (4) regional offices located in: Athens, GA, Grand Rapids, MI, Albuquerque, NM, and Glen Allen, VA , our steady growth and successes have allowed us to establish a culture of which we're proud. Check out our Glassdoor profile where our rating speaks for itself: By joining the Donegal family, you would be joining a team of dedicated, hard-working employees, all with a common goal of providing peace of mind to our policyholders and being There when it matters most.™ . Work Arrangement With each department and position being different, the work arrangement for a specific position will be reviewed with candidates during a initial phone screening. For a position not requiring an onsite expectation at one of our offices, the ideal candidate must live within our Donegal footprint. Current approved states are: AL, AZ, CT, DE, FL, GA, IA, IL, IN, MD, MI, MN, MO, NC, ND, NE, NH, NJ, NM, NY, OH, PA, SC, SD, TN, TX, UT, VA, WI, and, WV . (Please note, this list is subject to change without notice.) E-Verify Donegal Insurance Group participates in E-Verify in the following states: Alabama, Arizona, Florida, Georgia, Louisiana, Mississippi, Nebraska, North Carolina, South Carolina, Tennessee, and Utah . If you reside in one of the listed states, please review the "Notice of E-Verify Participation" and the "Right to Work Poster" on the links below: Notice of E-Verify Participation Poster (English and Spanish) Right to Work Poster (English and Spanish)

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 (***************************************************************************************************************************

Members Achieve More isn't just a tagline for us, it's part of everything we do! We're looking for passionate individuals to join our team to help us maintain that focus every day. Want to work somewhere that's remained strong for 90 years, that encourages you to learn, grow, and pursue your dreams? If yes, then read on... The Data Analyst Intern will report directly to the Business Intelligence Manager and is responsible for creating standard or ad hoc queries or reports to extract data from disparate databases or data sources. The Data Analyst Intern analyzes data to produce dashboards, metrics, or insights and identify trends or anomalies. Additionally, this role may support advanced analytics initiatives including data mining, statistical analysis, and predictive modeling efforts. Schedule: Hours are between 8:00am-4:00pm, based on summer/class schedule. Onsite 1 day a week during summer, remote during school year. In this position, you will * Data Analysis - Pull and Analyze data and build models that are used by the business or organization to support decision making. Provides technical assistance to users in order to insure the efficient procurement of data. Experience with SQL, R, and Python. * Reporting - Familiar with modern business intelligence tools like Power BI, Tableau, Looker. Use detailed specifications from which reports and dashboards will be written. Reports will be designed, coded, tested, debugged, documented and maintained using business intelligence standards. Provides quality report services to user processes within the organization. Quality report services include cooperative design, effective implementation, adequate documentation and continual support of BI reports. Ability to analyze BI reports and respond with suggestions for imrovements and enhancements. * Other - Under supervision provides security, accuracy, integrity, availability, performance, and validity to all credit union data and all reports. Under immediate supervision, assist in research and fact-finding. Participate with other specialists to improve and/or convert legacy reports to the Credit Unions BI solution. Provide training and assistance to users for generation of ad-hoc reports * Other duties as assigned. Qualifications: Required & Prefer High School (Required) Reasonable accommodation may be made to enable a qualified individual with a disability or disabilities to perform the essential duties and responsibilities of the job. Physical Demands and Sensory Abilities: Repetitive movement of hands and fingers (e.g. typing, writing). Lifting and carrying containers weighing as much as 20-30 pounds (e.g. to/from building and vehicle to a storage area). Sitting for long periods of time (e.g. at a desk, in meetings). Ability to reach above, at, and below the waist. Ability to reach above, at, and below shoulder level. Occasional bending, kneeling, stooping and/or squatting. Visual acuity. Auditory acuity. LI-Hybrid