Data Science Internship Jobs in Manchester, NJ

We are seeking a highly motivated and detail-oriented Sales/Marketing Intern to join our team. For this unpaid internship, you'll contribute to understanding sales and marketing in the IT industry and related businesses. This hands-on opportunity allows you to collaborate with experienced professionals and support our organization's strategies. New grads are welcome, no prior experience required. BeaconFire is an E-verified company, we provide visa sponsorships for candidates with supreme performance. Responsibilities: Maintain accurate records of business activities and report findings to the team. Conduct market and industry research to support decision-making. Collaborate with the team for a unified client approach, assist with scheduling and record-keeping tasks. Prepare reports and presentations for management reviews. Requirements: Enrolled in or finished undergraduate or graduate degree programs. Excellent English verbal and written communication skills. Strong analytical and critical thinking abilities, able to interpret data and draw findings. Proficiency with MS Office proficiency(Word, Excel, PowerPoint). Detail-oriented with strong time management skills to meet deadlines. Proactive team player with willingness to learn and adapt to new challenges. Benefits: Sales and marketing hands-on experiences in the IT industry and related businesses. Opportunity to collaborate with experienced professionals and support our organization's strategies. Proper paperwork offered to fulfill course credit. Employment-related non immigration or immigration sponsorship, including but not limited to OPT, OPT extension, and H1B. Location: East Windsor, NJ (onsite preferred)

Outlier helps the world's most innovative companies improve their AI models by providing human feedback. Are you an experienced Biology who would like to lend your expertise to train AI models? About the opportunity: Outlier is looking for talented accounting and tax experts to help train generative artificial intelligence models This freelance opportunity is remote and hours are flexible, so you can work whenever is best for you You may contribute your expertise by…Assessing the factuality and relevance of domain-specific text produced by AI models Crafting and answering questions related to BiologyEvaluating and ranking domain-specific responses generated by AI models Examples of desirable expertise:A bachelor's or higher degree in Biology or a related subject Experience working as an Biology professional Ability to write clearly about concepts related to Biology in fluent EnglishPayment:Currently, pay rates for core project work by Biology experts range from $30 to $50 per hour USD. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

Legend Biotech is seeking an Analytical Data Science, CMC Intern as part of the Analytical Development team based in Somerset, NJ for our 2025 Summer Internship Program, which will run from June 9th, 2025, to August 15th, 2025. This role will support the Analytical Development Function with analytical data collection, scientific data analysis by creating a database and the use of statistical tool to support data visualization. This project aims to provide an enhanced scientific understanding of the gene-modified product (such as CAR-T cells) in terms of its composition and function. Key Responsibilities Collecting and consolidating scientific data for analytical development (ELN, analytical instrument data storage source). Creating database to store the collected data according to defines specifications and attributes. Apply statistical tool to facilitate the exploration of various figures to support data analysis and scientific interpretation. Interact with AD scientist and leadership to understand the scope of the project and be able to provide the database and statistical tools within the targeted timeline. Requirements Second- or third-year Science or Engineering undergraduate student with skills in data modeling that enables efficient data exploration, data reporting and easier future maintainability Skills and experience and/or working knowledge of Power BI as an example, or other type of easy to maintain database and data modeling applications Excellent written and verbal communication skills Motivated, highly organized and muti-tasking skills Ability to work independently and as a team player Ability to learn and understand scientific data in CGT settings (Flow cytometry analysis of CGT product for example). #LI-Hybrid Legend Biotech is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is Legend's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law. Legend Biotech maintains a drug-free workplace.

Looking for a chance to make a meaningful difference in the oncology space? Taiho Oncology is on a mission: to improve the lives of patients with cancer, their families, and caregivers. Our “People first” approach means we also highly value our employees, who work relentlessly to help execute our mission. Taiho's success is founded on ensuring we always act with accountability, collaboration, and trust. By following these guiding principles, we earn and maintain the confidence of patients, the global healthcare community, collaborators and partners, and each other. Together, we are working on cutting-edge science and growing our portfolio and pipeline across a range of tumor types to address the ongoing and evolving needs of patients. Advanced technology, a world-class clinical development organization, and state-of-the-art facilities: these and other resources empower us to innovate and touch the lives of more and more patients. It's our work, our passion, and our legacy. We invite you to join us. Hybrid Employee Value Proposition: This internship offers a unique opportunity for a college student to gain hands-on experience in Data Science by contributing to clinical research projects within a dynamic and collaborative environment. We are committed to providing a valuable learning experience and mentorship to support the intern's professional development and growth. Position Summary: Interns will work closely with senior-level biostatisticians on topics related to the clinical study design and analysis of clinical trials and/or nonclinical research on oncology/hematology. Performance Objectives: Conduct literature research. Apply innovative statistical methods and/or computational tools to clinical trial. Perform data analysis and simulations to answer research questions. Present project work to internal and external stakeholders. Write summary reports. Education/Certification Requirements: In an undergraduate program, completing at least sophomore year. Completed course work in Statistics/Mathematics, or Science/Data Sciences, or Computer or related areas by summer 2025. Knowledge, Skills, and Abilities: Excellent reading, writing and analytical skills Proficient in one programming language/software Self-management skills with a focus on results for timely and accurate completion of competing deliverables Ability to be creative and innovative Demonstrated problem-solving and critical thinking abilities The incumbent in this position may be required to perform other duties, as assigned. The pay range for this position at commencement of employment is expected to be between $18 to $22 per hour. This pay range is based on the market range for positions of this type. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, commissions, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Equal Opportunity Employer Information: Taiho Oncology is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, veteran status, gender identity, genetic information, or any other characteristic protected by federal, state, or local law. Any applicant who, because of a disability, needs an accommodation or assistance in completing an application or at any time during the application process, please email ************************. Taiho Oncology also provides reasonable accommodations to employees with disabilities consistent with our obligations under the law. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment qualified applicants with arrest and conviction records. The incumbent in this position may be required to perform other duties, as assigned.

Company Details W.R. Berkley Corporation is a Fortune 500 Company, listed on the New York Stock Exchange. The Company is made up of dedicated and passionate people committed to delivering the highest quality insurance products and services to specialized markets worldwide. Our culture is one of innovation, creativity and teamwork. Our team is highly motivated, passionate about our business, and deeply experienced in developing and delivering product and service solutions in the life science marketplace. You will join a highly respected team of experienced, successful professionals with deep expertise in this market as they build the company of the future. At Berkley Life Sciences, we insure the future of life science innovators today. We do so by serving as a preferred market for the life science industry around the globe, offering a broad range of sophisticated property & casualty products and services designed to meet our customers' individualized needs. The company is an equal employment opportunity employer. Berkley Life Sciences professionals cohesively respond to the unique challenges faced by our life science customers. We are looking for talented and dedicated professionals to join our team. Responsibilities Under the direction the VP, HR Resources, the BLS Intern will gain an in- depth knowledge of the insurance industry including underwriting, claims, operations and marketing. The BLS intern will receive on the job training and given the opportunity to work on meaningful assignments. Develop an understanding of the insurance industry from multiple facets including underwriting, claims, operations and marketing. Achieve a proficiency in the technical and professional skills/knowledge of the assigned Operations Specialist position (on the job training) Achieve a proficiency in the technical and professional skills/knowledge of the assigned Life Sciences Associate position (on the job training) Collaborate on projects as assigned to develop an understanding of the insurance industry Other duties that will support BLS business strategies Qualifications Pursuing a Bachelor's degree form an accredited college or university Knowledgeable and proficient with the Microsoft Professional products in addition to Internet search capabilities Previous customer service work experience a plus Exceptional oral and written communication skills. Your communication style is flexible to the situation. You communicate clearly and with a purpose. Calm under pressure. You have excellent organizational skills, integrity, and great follow-through on tasks. You are comfortable challenging norms while working collaboratively with colleagues. A strong customer service bias. You want to get to yes. You are known for your super responsiveness. You can say no and preserve your relationships. Natural curiosity. You love learning how things work and you are always looking for innovative improvements. You are open minded, looking for the best result. You treat team members with respect and value their contributions. You are inclusive, committed to working together to achieve common goals. Demonstrated ability to achieve results by setting goals, prioritizing tasks and staying accountable to stakeholders. The Company is an equal employment opportunity employer. Competencies Accountability Communication Customer Focus and Teamwork Innovation and Initiative Flexibility Additional Company Details *The above job description is not intended to be an “all-inclusive” list of the duties and responsibilities of the job described, nor is it intended to be such a listing of the skills and abilities required to do the job. Rather, it is intended only to describe the general nature of the job. Sponsorship Details Sponsorship not Offered for this Role

Welcome to the intersection of energy and home services. At NRG, we're all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers' lives easier-helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company. We offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society. More information is available at ************ Connect with NRG on Facebook, Instagram, LinkedIn and X. This position will be involved in a diverse range of activities supporting NRG's Commercial Analytics functions. This position will be imbedded in the Structure and Fundamentals team and will focus on enhanced data driven solutions in support of team's activities. While our focus is for AI expertise, this role will support a much broader range of data science activities and provides meaningful exposure to and engagement in Commercial Analytics work product. Responsibilities: * Collect, clean, and preprocess large datasets to ensure high-quality data for quantitative analysis including AI applications. * Develop and implement machine learning models for predictive analytics, recommendation systems, anomaly detection, and other AI-driven insights. * Implement solutions that improve efficiency of team activities. * Analyze and interpret complex data structures to derive meaningful business insights. * Collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to integrate AI solutions into group workflows. * Optimize and fine-tune AI models to enhance accuracy, efficiency, and scalability. * Stay up to date with the latest advancements in AI, machine learning, and data science technologies. * Create data visualizations and dashboards to communicate findings to stakeholders effectively. * Document methodologies, processes, and findings to maintain transparency and reproducibility. We seek candidates with: * Bachelor's degree, Master's degree preferred, in data science, computer science, quantitative finance, statistics, or mathematics * 3+ years of work experience in data analysis, machine learning, and AI applications * High level of proficiency in SQL and quantitative programming (Python, R, MATLAB). Experienced in dealing with large data sets. * Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-Learn. * Strong knowledge of data visualization tools such as Tableau, Power BI, or Matplotlib. * Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. * Strong communication skills. Ability to translate complex data into actionable insights. * The ability to manage multiple tasks independently and deadlines in a fast-paced environment. * Ability to proactively seek new ideas and solutions to improve the status quo. * Strong work ethic - reliable and accountable. * Ability to work cooperatively with all levels of staff as part of a team. * A commitment to the highest ethical standards and to act with professionalism and integrity. Preferred Qualifications: * Experience with Natural Language Processing (NLP) or Computer Vision. * Knowledge of big data technologies such as Spark, Hadoop, or Databricks. * Exposure to deep learning techniques and neural networks. * Understanding of MLOps principles and deployment of AI models in production environments. NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. EEO is the Law Poster (The poster can be found at ************************************************************************ Official description on file with Talent. Nearest Major Market: New Jersey

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.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 7. 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 8. 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $114,000/year to $171,000/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.

Job Description Our client operates at the crossroads of energy and home services, fueled by the vision of a smarter, cleaner future. Committed to developing groundbreaking solutions, they aim to streamline their customers' lives by providing energy, protection, and smart services for their homes and businesses. They are looking for a Data Scientist to develop and apply models and statistical analysis within the Data and AI group. This individual will work specifically on anomaly detection within one of their plant operations projects. The purpose of this project is to scale anomaly detection models for the transformer fault POC and add new models relating to thermal data. Other projects as required to require skills in forecasting and linear regression. Essential Duties/Responsibilities: Understanding of machine learning and deep learning models to select and implement for prediction, classification, and clustering Understanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powers Ability to communicate and establish good relations with multi-disciplinary teams Expertise with neural networks, specifically RNNs within the Keras/TensorFlow framework. Proficiency with Python, including pandas, scikit-learn Experience in PySpark Minimum Requirements: Bachelor's degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required. 3+ years of experience in statistical modeling and quantitative analysis in industry or full-time academic research Preferred Qualifications: Advanced Degree (MS or PhD) in Statistics, Mathematics or Quantitative Marketing with a focus on machine learning is strongly preferred. Additional Knowledge, Skills and Abilities: Knowledge of power transformers, experience with electrical engineering. Prior experience predictive maintenance in a power or manufacturing environment. Experience with Databricks, AWS SageMaker and/or Google Vertex AI Comfortable working in Linux Experience with Git Experience with Docker containers Good communication skills Keen attention to details Think critically about analyses to ensure the conclusions make sense before sharing Physical Requirements: The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. Occasional overtime work may be required. Hybrid or remote role. Time split between remote (from home) and in an open office environment with cubical hoteling.

About Client: They are an equal opportunity employer and with value diversity at their company. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Job Description: As a healthcare consultant, you will be working independently on individual projects followed by handling an excellent relationship with the client. On the whole your going to be a passionate player in using statistical tools and positive attitude. We are looking for a person who is too awesome, who loves the role and works with a lot of passion. We are awaiting to meet the excellent analytic specialist exactly like you. We would love to listen to your career success and will anticipate for your interest towards this job and I believe: You are powerful in data science, business reporting, and statistical analysis. You are proficient in Business Intelligence and Reporting. You are an expertise with R, SAS, SPSS. You have worked in Healthcare. You are amazing in using Predictive Modeling and advanced statistical techniques. You are excellent in Data Visualization. You are good in using Cognos and Business Objects. You will be reporting to the Senior Consultant. About our client: They are an equal opportunity employer and with value diversity at their company. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Additional Information All your information will be kept confidential according to EEO guidelines.

SRP is a Big Data startup company located in Princeton, New Jersey. Job DescriptionSRP is a big data startup company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. We are looking for a seasoned and highly experienced, hands-on big data architect. This person could potentially become a co-founder or CTO in this startup. Qualifications: * 10 to 15 years of experience in technology including Big Data and Hadoop * Experienced in Hadoop, Hive/Pig, various hadoop distributions such as Cloudera or Hortonworks * Experienced in Spark * Strong working knowledge with visualization tools such as Tableau or equivalent * Must have worked with really large data sets in the past * Experienced with databases, SQL, and AWS High energy and high enthusiasm are essential for this role, and a very strong drive to succeed. Learn more about us at: ****************** Additional Information This is a one time contracting project

Remote: 100% In Bid / Vacant: Vacant Work Authorization: US Citizenship is required. Type: Full Time Skill Level: 3 years to SME Salary Range: Commencing with experience Benefits: The standard compensation package consists of a competitive salary, 100% company-paid health/dental/vision care benefits, 100% company-paid LTD/STD/Life Insurance benefits, a 401(k) with company match, and a generous holiday/vacation/sick leave policy. Introduction: Our client needs a Data Scientist to apply and enhance their skills in developing, running, and analyzing results of complex queries against massive-scale data stores. Role Description: Manipulating high-volume structured and unstructured data to perform analysis and generate reporting/products. Using analytic techniques and tools and All-Source data analysis to provide technical targeting analytic support to the Sponsor Agency. Performing large-scale parallel processing of data and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments. Required Skills & Experience: Bachelor's Degree or experience or instead of a degree and 2+ years of Intelligence Analysis experience in the intelligence community Experience using analytic techniques and tools performing technical targeting analytic support for the Sponsor Agency. Experience using any computer languages (e.g., Python, R, Pig, Java, C, SQL, ECL) to perform large-scale parallel data processing. Ability to think outside the box and seek guidance/mentorship from peers. Optional Desired Skills & Experience: Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field. Note: No 3rd Party Vendors or 3 rd Party Candidates

Who is Derbysoft? Founded in 2002, DerbySoft is a technology company whose mission is to make the travel business easier through industry leading technology that empowers travel industry services. The company supports technology for Marketing Services which uses machine learning and rich data to drive high-performing marketing campaigns and a Content platform that collects, manages and distributes quality hotel content. DerbySoft's technology empowers the travel industry around the globe. Headquartered in Dallas, Texas, USA and with offices in Barcelona, Tokyo and Shanghai, DerbySoft serves partners in 197 countries around the world. What do we do? At DerbySoft, we are reshaping the future of hotel distribution and digital marketing through innovation and technology. We are looking for a skilled Data Scientist to join our Data Science team in Barcelona. If you are passionate about solving complex optimization problems, deploying machine learning models in cloud environments, and making a tangible impact in a fast-growing industry, this is the opportunity for you. As a Data Scientist, you will leverage advanced machine learning techniques and statistical analysis to optimize bidding strategies for major travel platforms like Google, TripAdvisor, and Trivago. You will work with a dynamic team to design, build, and deploy models that directly drive revenue for the world's top travel brands. What will you do? Model Development: Design and implement machine learning algorithms that automate and optimize bidding on millions of requests across major metasearch platforms. End-to-End Solutioning: Develop and deploy end-to-end optimization solutions, taking them from design through to production in cloud environments. Performance Evaluation: Evaluate model performance using objective metrics, continuously improving through testing and refinement. Business Integration: Work closely with business teams to understand requirements and translate them into data science solutions that drive business impact. Collaboration: Work effectively within a cross-functional team to integrate data science models into production systems. What do we need? Educational Background: Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field. Experience: 2+ years of hands-on experience in machine learning, statistical analysis, and optimization techniques. Programming Skills: Proficiency in Python or R, and experience with SQL for data manipulation and analysis. Collaboration: Ability to work both independently and collaboratively in an agile, fast-paced environment. Communication: Strong oral and written English communication skills to effectively explain complex technical concepts. Our Preferences Background in travel or hospitality marketing. Advanced Education: Master's or PhD in Data Science, Computer Science, Statistics, Engineering, or a related field is preferred. Software Engineering Skills: Experience with software development best practices and working with Docker or similar containerization tools would be ideal. Cloud Expertise: Experience working with Amazon Web Services (AWS) or similar cloud platforms is a plus.

VTS3 is a Veteran-owned and operated company which provides full-service Recruiting, Talent Search, Staffing, and IT Professional Services. For more information visit ************* Job Description We are looking a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally will have extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database. The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff. Responsibilities: Research and develop statistical learning models for data analysis Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key staff in DOH Implement new statistical or other mathematical methodologies as needed for specific models or analyses Optimize joint development efforts through appropriate database use and project design This is an hourly position with opportunity for overtime. **All Candidates Must be Authorized to Legally Work in the US Without Sponsorship** Qualifications • Extensive background in data mining and statistical analysis • Ability to understand various data structures and common methods in data transformation • Excellent pattern recognition and predictive modeling skills • Experience with programming languages such as Java/Python is an asset • HDFS / Data Lake Stores / Analytics • SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS) • Analysis Services (Tabular Mode / DAX / Cube concepts) • Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others) • Expertise in BI-related data architecture, integration, modeling, and presentation • Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others) • Experience with ETL technologies (SQL Server Integration Services, Data Factory) • At least 5-10 years as a data scientist with all of the skills listed above • Bachelor's Degree in Computer Science, Statistics, Applied Math or related field Education Preferred: • Master Degree in Computer Science, Statistics, Applied Math or related field Additional Information $500 Referral Fee Program Earn extra cash while helping your friends! VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash. The rules are simple: The referral must be made by using the "Refer a friend" button on this page The person you refer must be placed within 90 days of being referred The person you refer must complete 480 billable hours Cannot be someone we already have on our team or are currently working with VTS3 ONLY works directly with candidates. All candidates registered must be able to legally work in the United States.

We are looking a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally will have extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database. The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff. Responsibilities: Research and develop statistical learning models for data analysis Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key staff in DOH Implement new statistical or other mathematical methodologies as needed for specific models or analyses Optimize joint development efforts through appropriate database use and project design This is an hourly position with opportunity for overtime. **All Candidates Must be Authorized to Legally Work in the US Without Sponsorship** Qualifications • Extensive background in data mining and statistical analysis • Ability to understand various data structures and common methods in data transformation • Excellent pattern recognition and predictive modeling skills • Experience with programming languages such as Java/Python is an asset • HDFS / Data Lake Stores / Analytics • SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS) • Analysis Services (Tabular Mode / DAX / Cube concepts) • Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others) • Expertise in BI-related data architecture, integration, modeling, and presentation • Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others) • Experience with ETL technologies (SQL Server Integration Services, Data Factory) • At least 5-10 years as a data scientist with all of the skills listed above • Bachelor's Degree in Computer Science, Statistics, Applied Math or related field Education Preferred: • Master Degree in Computer Science, Statistics, Applied Math or related field Additional Information $500 Referral Fee Program Earn extra cash while helping your friends! VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash. The rules are simple: The referral must be made by using the "Refer a friend" button on this page The person you refer must be placed within 90 days of being referred The person you refer must complete 480 billable hours Cannot be someone we already have on our team or are currently working with VTS3 ONLY works directly with candidates. All candidates registered must be able to legally work in the United States.

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

A collective energy and ambition. A place where you can make a real difference. We're a company that genuinely cares about our people, our products, our consumers and the environment. Our unique, informal culture champions courage, determination and collaboration. Knowing we have an open and supportive team means each of us has the freedom to take responsibility and ownership. We have a shared passion to work hard, innovate and push boundaries. United by the belief that when we strive for growth, anything is possible. While we might not be the largest company in our industry, we believe we can have the biggest impact because: Together We Have the Power to Win. Hybrid, Ewing, NJ Role Summary Serving as the voice of the Consumer and Shopper, the Consumer and Shopper Center of Excellence will direct the development of systems and conduct analysis to enhance Consumer & Shopper analytics and insights at Church & Dwight. The Data Scientist, Advanced Analytics, Consumer and Shopper Center of Excellence will leverage a variety of statistical methodological approaches to conduct analytics and advise Commercial teams on opportunistic actions determined by data-driven insights. The role sits within the Church & Dwight Data & Analytics Office, reporting to the Manager, Advanced Analytics, Consumer and Shopper Center of Excellence. Role Accountabilities and Responsibilities * Contribute to the development of systems that automate and monitor market, consumer, and shopper trends. * Triage anomalous trends to identify meaningful and valuable market opportunities. * Develop key actionable insights and recommendations that highlight sales opportunities for C&D across all categories and SBUs. * Identify and drive strategic commercial opportunities working cross functionally with retailer and C&D headquarter teams. * Use analytics and insights to assess the sales risk and/or opportunities presented by external factors (e.g. store closings) and internal choices. * Possess expertise in statistical methodologies and data science. * Effectively communicate insights and analytics within internal C&D organization. Education and Experience * Graduate degree from an accredited college/university required. * 3-5 years of analytical experience. * Advanced analytical experience and capabilities required. * Nielsen and/or IRI syndicated data experience preferred. * Nielsen/IRI and/or Numerator panel data experience preferred. * Experience with retailer data, especially Luminate and 84.51 preferred. * CPG industry experience preferred. * Excellent analytical, communication, and creative problem-solving skills. Skills and Competencies * Action Oriented * Priority Setting * Ability to build a story using data * Decision Quality * Dealing with Ambiguity * Technical Skills #piq #LI-Hybrid Church & Dwight is proud to be an Equal Opportunity Employer/Veterans/Individuals with Disabilities. For more information on our company, our brands and our culture visit us at ****************************

Legend Biotech is seeking a Data Analysis & AI in CMC intern as part of the technical manufacturing and QC development team based in Somerset, NJ for our 2025 Summer Internship Program, which will run from June 9th, 2025, to August 15th, 2025, to extract scientific learnings from datasets. The intern will analyze datasets development studies using conventional and artificial intelligence tools, seeking observations of simple, nonlinear, and multifactorial relationships between variables. The intern will process datasets into appropriate organization and storage, allowing controlled access and manipulation. They will then apply various tools including artificial intelligence and statistical analyses to gather observations from the data and discuss them with technical subject matter experts to interpret observations and create deep scientific knowledge. In addition, the intern will work with technical experts to identify additional applications of analysis tools including artificial intelligence that produce useful outcomes. Key Responsibilities In collaboration with information technology experts, organize non-GMP data into databases that allow controlled access and interrogation Apply various methods including artificial intelligence to identify relationships between variables Collaborate with technical subject matter experts to interpret results and gain scientific insight from observations Eliminate trivial and insignificant observations and conclusions Perform statistical analysis to assess the validity of observations Suggest experimental designs that can probe and/or demonstrate utility of key observations Identify creative applications of artificial intelligence for manufacturing and QC datasets Ensure data security within company policies including responsible use of artificial intelligence Requirements Expertise in data analysis Familiarity with key software tools such as JMP, Minitab, etc Familiarity with database tools Proficiency with one or more artificial intelligence tools Ability to work within company processes to ensure data security Understanding of biology, immunology, or other related areas Understanding of statistical significance analyses is a plus #LI-Hybrid Legend Biotech is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is Legend's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law. Legend Biotech maintains a drug-free workplace.

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