Senior data scientist jobs in Manchester, NH - 179 jobs

Job Purpose The Senior Data Scientist is responsible for transforming VulcanForms' factory data into clear, actionable insights that drive decision-making across Engineering, Operations, Quality, and Commercial teams. This role applies advanced analytics, statistics, and machine learning to understand manufacturing performance, identify opportunities for improvement, and deliver user-facing AI tools and reports that make complex data accessible to a broad audience. By combining strong analytical rigor, software engineering discipline, and the ability to clearly communicate technical results, the Senior Data Scientist accelerates the adoption of data- and AI-driven insights throughout VulcanForms and supports continuous improvement of our advanced manufacturing operations. Key Responsibilities Design, deploy, and maintain analytics applications, dashboards, and reports that make insights accessible and actionable. Examples include printer diagnostics, print summaries, and operational efficiency metrics. Apply statistical methods, machine learning, and advanced algorithms to factory data to uncover trends, root causes, and opportunities that inform operational and business decisions. Design and execute exploratory analysis and experiments to test hypotheses about process inputs, correlations, and performance drivers. Provide data-backed recommendations to improve manufacturing workflows, yield, throughput, and quality. Create intuitive visualizations and dashboards that make data easy to understand and enable rapid insight into factory performance. Translate complex analytical findings into clear narratives and recommendations for non-technical stakeholders, including Operations leaders and executives. Partner closely with Data, ML, Software, Manufacturing, Quality, and Systems Engineering teams to ensure analytics are well-integrated, reliable, and aligned with business needs. Contribute to standards for analytical development, validation, documentation, and reproducibility to ensure trust and scalability of analytics across the organization. Qualifications Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or a related field (or equivalent experience). 5+ years of experience in data science, applied analytics, or machine learning roles. Strong proficiency in Python for data analysis, modeling, and visualization. Established experience in statistics, experimental design, and data analysis techniques. Experience developing and deploying analytical models or data-driven insights used in real operational environments. Ability to clearly communicate technical concepts and results to non-technical audiences. Strong software engineering fundamentals, including version control, testing, and reproducible workflows. Ability to work independently while collaborating effectively across multiple teams. Preferred Qualifications Experience applying analytics or machine learning in manufacturing, industrial, hardware, or operations-heavy environments. Familiarity with machine learning techniques for time series, anomaly detection, predictive modeling, or optimization. Proficiency in programming with SQL. Experience building or contributing to user-facing analytics tools or dashboards using Python libraries like Dash or Business Intelligence platforms like Tableau. Experience working with large, complex, or sensor-generated datasets. Familiarity with ML production workflows and collaboration with Data Engineering or ML Ops teams. Experience driving adoption of analytics tools across diverse stakeholder groups Familiarity with metal Additive Manufacturing process physics and operational workflows, especially for Laser Powder Bed Fusion. VulcanForms offers a competitive salary and equity package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, VulcanForms provides comprehensive benefits including medical, dental, vision, and life insurance; generous paid time off; and a 401(k) plan with company match. The annual base salary range for this position is $125,000 to $170,000.

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways - from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community. The RoleWe are looking for a Senior Data Scientist to help build the next generation of Asset Performance Monitoring AI. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with data, in all its forms, including data mining, mathematical modelling, cognitive computing, expert systems, and emerging LLM-based and agentic AI techniques. You will leverage your skills and passion for machine learning, AI and cognitive computing to drive Emerson's Asset Performance Monitoring strategy by developing ground-breaking software solutions.Your Impact Design and develop new machine learning and AI applications for the manufacturing and process industries Collaborate with customers, product managers, designers, and developers to understand customer needs and translate them into product requirements and specifications Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our software applications Contribute to Emerson's intellectual property footprint in the space of AI Evangelize the capabilities of machine learning and artificial intelligence and represent Emerson as a subject matter expert at select venues Contribute to the roadmap of AI research and take the technical lead in AI research and development projects What You'll Need MS in Science or Engineering, PhD preferred, with a strong quantitative focus, such as AI, Statistics, Computer Science, Data Science, or a related quantitative field. 5+ years of experience in data analysis and software development/programming. History of coming up with innovative and creative quantitative solutions, demonstrated through practical business impact. Experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing) Experience in Python programming, including data science specific packages, such as Pandas, Numpy, TensorFlow, PyTorch, Scikit-Learn etc. Experience in C++ or C# Experience with LLM, generative AI and agentic AI workflow Track record of academic publications related to data science, AI and/or process optimization. A footprint of public code represented by e.g., a GitHub stack and contributions to open-source packages, is preferred. Experience delivering AI/machine learning applications to end-users Problem-solving ability and attention to details Excellent interpersonal, communication, writing, and presentation skills Demonstrated ability to convey complex information in a clear and concise manner The salary range for this role is $127,000.00 - $158,700.00. This range represents what we in good faith believe is the range possible for base compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range based on several factors. This range may be modified in the future. This role is also eligible for bonus or variable incentive pay. Additionally, we offer a comprehensive benefits package including paid time off, charitable giveback day, medical/dental/vision insurance, and retirement benefits to eligible employees.

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: ********** What We Offer: * A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. * The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. * Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. * Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. * Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team is seeking an exceptional Data & Evaluation Applied AI Scientist to serve as the domain expert ensuring that SES AI's complex battery-domain knowledge is correctly represented and validated within advanced AI systems, including LLM pipelines and multi-agent workflows. This role is vital for bridging the gap between raw battery materials knowledge and structured, AI-trainable data. As the Data & Model Quality Manager, you will focus on the integrity, structure, and fidelity of the knowledge embedded within our AI systems. Essential Duties and Responsibilities: * Data Curation & Validation * Translate deep Battery Materials Knowledge and next-generation battery concepts into correctly structured, high-quality, AI-trainable data. * Lead processes for rigorous data validation, cleaning, and annotation to ensure consistency and correctness across all datasets. * Oversee the creation and management of benchmark datasets and design domain-specific multimodal evaluations to test model accuracy. * AI System Quality & Correctness * Partner closely with AI architecture and engineering teams to ensure the correctness, reliability, and scientific reasoning quality of models, including LLM creation and multi-agent orchestration. * Implement techniques, including those inspired by reinforcement learning (RLHF), to tune and validate model behavior against established scientific principles. * Ensure that resulting models accurately understand molecular chemistry, materials data, and complex scientific reasoning in the battery domain. * Strategy & Collaboration * Drive the application of Battery Informatics principles across all data pipelines and modeling effots. Education and/or Experience: * Education: Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field. * Domain Expertise: Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats. * Data Quality & Validation: Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets. * AI Exposure: Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration. * Applicable Background: Experience in roles such as Applied Scientist in Molecular/Materials AI or similar specialist roles focused on AI system quality in a scientific domain. Preferred Qualifications: * Advanced AI Techniques: Experience with specialized techniques used for model tuning and alignment, such as Reinforcement Learning from Human Feedback (RLHF). * Industry Precedent: Previous experience in specialized environments like battery focus labs, materials data science groups, or AI4Science teams with a focus on agent pipeline building and model tuning (e.g., drawing from precedents like DeepMind or Fair Labs). * Evaluation Design: Direct experience designing and executing domain-specific multimodal evaluations for complex AI models. * Computational Focus: Experience as a Computational battery AI specialist.

Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://bit.ly/1EE8v7z *You can apply through Indeed using mobile devices with this link. Job Description Our established consumer products company is looking for a Senior Data Scientist (Machine Learning & Classification)to add to their growing Research & Advanced Development team. You will work on feature concepts that arecustomer-facing. Responsibilities of the Senior Data Scientist (Machine Learning & Classification): Responsible for the algorithms that underlie the experiences created. Willingness to write code to explore problems and understanddata, and your ability to implement solutions from scratch. Implement and test initial versions of a handful of (already imagined) feature concepts. Demonstrate end-to-end proof of concept of at least one customer-facing feature. The ideal candidate will have experience with APIs, DSP, and Machine Learning Requirements for the Senior Data Scientist (Machine Learning & Classification): Deep expertise in the fundamentals and practical application of Machine Learning MS or Ph.D in computer science or related field Demonstrated ability to work effectively in a cross-functional team Strong coding ability (language and tool agnostic) but your algorithms must be able to run at scale. Experience creating customer-facing feature concepts. Additional Information All your information will be kept confidential according to EEO guidelines. Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://bit.ly/1EE8v7z *You can apply through Indeed using mobile devices with this link.

Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://bit.ly/1EE8v7z *You can apply through Indeed using mobile devices with this link. Job Description Our established consumer products company is looking for a Senior Data Scientist (Machine Learning & Classification)to add to their growing Research & Advanced Development team. You will work on feature concepts that arecustomer-facing. Responsibilities of the Senior Data Scientist (Machine Learning & Classification): Responsible for the algorithms that underlie the experiences created. Willingness to write code to explore problems and understanddata, and your ability to implement solutions from scratch. Implement and test initial versions of a handful of (already imagined) feature concepts. Demonstrate end-to-end proof of concept of at least one customer-facing feature. The ideal candidate will have experience with APIs, DSP, and Machine Learning Requirements for the Senior Data Scientist (Machine Learning & Classification): Deep expertise in the fundamentals and practical application of Machine Learning MS or Ph.D in computer science or related field Demonstrated ability to work effectively in a cross-functional team Strong coding ability (language and tool agnostic) but your algorithms must be able to run at scale. Experience creating customer-facing feature concepts. Additional Information All your information will be kept confidential according to EEO guidelines. Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://bit.ly/1EE8v7z *You can apply through Indeed using mobile devices with this link.

NO AGENCIES - PLEASE!! Please keep in mind - salary range / pay is factored on years of direct work experience and education . The Data Scientist is involved in conducting clinical studies, integrating, and interpreting massive healthcare and molecular data from internal and external sources, and is instrumental in transforming complex data into impactful insights. The Data Scientist candidate possesses an extensive background in healthcare data analysis, including familiarity with real-world Electronic Health Records (EHR) and multi-omics data, coding skills using diverse toolsets, successful management experience in a dynamic team environment, and is highly goal-oriented. ESSENTIAL DUTIES AND RESPONSIBILITIES: Analysis of real-world EHR data and high-throughput molecular/omic data (genomic, gene expression, lipidomic, metabolomic, proteomics data sets), and participation in assisting clinical data interpretation and generating content for clinical study reports Interaction with internal and external collaborators to understand, design, and develop analytical solutions for complex data packages, including, but not limited to, quality assessment of data as well as utilization of several statistical packages to assess translational utility Design and development of data analysis protocols to support the company's drug discovery pipeline and facilitate precision medicine strategies for clinical development Interpretation and understanding of analytic results from a biology perspective, and presentation of scientific findings internally and externally to a diverse audience Research and implementation of innovative methods for data integration Preparation and submission of scientific manuscripts for review and publication, as well as support intellectual property filings Other duties, as assigned. REQUIREMENTS : Requires a Ph.D. in Bioinformatics, Statistics, Applied Math, Computer Sciences, or related field with 2+ years of experience; OR, Master's Degree with 4+ years of direct related experience. Experience with Real-World Data offerings from major data brokers (e.g., EHR, claims). Proficiency in R/Bioconductor, Linux, and major “Big Data” technologies Experience in Scala, C, Python, and MySQL is a plus but not required Proven ability to successfully integrate, mentor, and communicate in a dynamic team environment toward defined goals and timelines Proven ability to independently find creative and practical solutions to complex problems Proven experience in applying Data Science methodologies to extract, process, and transform structured and unstructured datasets Proven ability to deliver outputs in a comprehensive format that highlights major trends, avoids misinterpretations, and values the conclusions Proven ability to demonstrate attention to detail and record-keeping Ability to efficiently work on multiple projects in parallel Excellent communication and interpersonal skills Must be able to work in a team-oriented environment

Job Description The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - ai Match, for data reconciliation, ai Cast, for prediction, and ai Plan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. Rooted in academia, Ikigai also offers unmatched educational support that upskills workforces and transforms organizations into AI-driven ones. Ikigai Academy has already trained over 6000 students from 90+ countries on topics like “No Code AI” and “Time Series Forecasting”. Role Description: We are seeking a Data Scientist who thrives at the intersection of data transformation, analytics, and implementation. In this role, the Data Scientist will partner directly with clients to prepare, clean, and transform their data so it can seamlessly integrate with our ai Cast platform. This Data Scientist will help customers unlock the value of their data-building pipelines, dashboards, and forecasts-and in many cases, own the end-to-end implementation from ingestion through delivery. This Data Scientist position is centered on data engineering, applied analytics, and client enablement. You'll play a key role in helping customers get from raw data to actionable insights. Responsibilities: Collaborate with client teams to understand their data sources, structures, and business requirements. Design and implement data transformation pipelines to prepare data for ai Cast ingestion. Build reporting and dashboarding solutions to help clients interpret and act on their data. Develop forecasting and analytics workflows to extend client use cases beyond data prep. Support end-to-end solution delivery-covering extraction, transformation, validation, and deployment-when applicable. Troubleshoot data quality issues and provide recommendations for improved structures or processes. Partner with internal engineering and success teams to ensure smooth implementations and knowledge transfer. Qualifications: At least 1-3 years of experience in a data role, preferably with enterprise clients Associate's or Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, or Applied Mathematics) preferred Proficiency in Python, including libraries like NumPy and Pandas for data transformation. Working knowledge of SQL for querying and joining datasets (intermediate level). Experience building ETL/ELT pipelines or similar data processing workflows. Familiarity with data visualization, reporting, or dashboarding tools. Strong problem-solving skills with a focus on client outcomes and practical implementation. Ability to work with incomplete or messy data and structure it for usability in production systems. Excellent communication skills for translating technical work into business impact. Preferred Skills: Knowledge of data transformation (e.g. using python Pandas library) database management, data integration, or data visualization is a plus Experience with forecasting techniques or applied time-series analytics. Background in client-facing or consulting roles where you owned implementation delivery. Understanding of software engineering best practices (version control, testing, deployment). Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Powered by JazzHR sfms CHcJWY

We are a new kind of travel company that uses big data to empower travelers. Our app for iOS and Android analyzes trillions of past and current trips to predict when you should fly and buy. The app notifies you when fares drop so you can book flights at just the right moment. We are among the fastest growing travel apps ever, with over 15 million installs since it was launched in 2015. We're looking for a data-savvy individual to join our team as a data scientist, to create consumer-focused research content and support user-centric product development and growth based on our real-time feed of billions of flight search results along with an archive of several trillion data points. You may be a great fit for our team if you are excited about exploring huge (and sometimes messy) data sets and finding effective ways to simplify and communicate the results to a non-technical audience. In this role you will Transform complex analyses into short, compelling, and easy to understand studies to share with journalists aimed at a consumer audience Frame and conduct complex analyses and experiments using tremendously large (e.g. 10^6 to 10^10 records), complex (not always well-structured, highly variable) data sets Design and implement ad hoc and automated analysis scripts, design and deliver appropriate summary tables, charts and interactive tools to present your results REQUIRED A qualified candidate has A degree in Math, Statistics, Computer Science, Engineering or other quantitative discipline Extremely strong analytical and problem-solving skills Proven ability to communicate complex technical work to a non-technical audience A strong passion for and extensive experience in conducting empirical research and answering hard questions with data Experience with relational databases and SQL, especially Hive Experience working with extremely large data sets Experience in Pandas, R, SAS or other tools appropriate for large scale data preparation and analysis Experience with data mining, machine learning, statistical modeling tools and underlying algorithms Proficiency with Unix/Linux environments Sound like a fit? We can't wait to hear from you.

Job Requirements ConcertAI is at the forefront of revolutionizing healthcare with our cutting-edge AI and data solutions. Our mission is to accelerate insights, advance research, and improve patient outcomes in oncology and across life sciences. As a leader in real-world evidence (RWE) and data-driven technology, ConcertAI partners with top pharmaceutical companies, healthcare providers, and research institutions to enhance patient outcomes and streamline clinical research. By leveraging evidence-generation and artificial intelligence, we deliver unparalleled insights into treatment effectiveness, patient care, and disease progression to advance precision medicine and medical innovation. Within the ConcertAI ecosystem, TeraRecon is a leading innovator in advanced visualization, artificial intelligence (AI), and image analysis solutions for healthcare. With a focus on improving clinical workflows and enhancing diagnostic precision, TeraRecon offers scalable platforms like Intuition and Eureka AI to integrate imaging, data, and AI-driven insights seamlessly. Additionally, CancerLinQ, an oncology-focused platform developed by ASCO and now part of ConcertAI, supports cancer centers and practices in improving care quality and discovery. Joining ConcertAI means becoming part of a visionary team dedicated to transforming the healthcare landscape. You'll have the opportunity to work on innovative projects that directly impact patient lives, collaborate with some of the brightest minds in the industry, and be at the cutting edge of technological advancements in healthcare. ConcertAI offers a dynamic and inclusive work environment, competitive benefits, and ample opportunities for personal and professional growth. If you're passionate about making a difference in healthcare and excited by the prospect of working with advanced AI and data solutions, ConcertAI is the perfect place for you to thrive and make a lasting impact. Role Summary You will work within the Product Insights & Evidence (PIE) team that is responsible for supporting epidemiological and analytical utilization of ConcertAI data products. Responsibilities * Interpretation and analysis of clinical real world evidence studies * Contribute to analyses on epidemiological research projects with potential to write and publish abstracts and manuscripts and participate in poster presentations * Conduct in-depth data investigations across the ConcertAI data pipeline to maintain a high level of data quality, completeness, and usability of ConcertAI data products * Present key findings to internal and external stakeholders to provide guidance on the usability of ConcertAI data products * Publish reproducible reports and develop applications to Posit Connect and/or Github for company-wide consumption * Contribute functions, algorithms, and business rules to ConcertAI R packages and Github repositories to increase efficiency and reproducibility of analyses Requirements * Advanced degree in Epidemiology/Biostatistics or 2+ years of epidemiological research in a health care, pharmaceutical, or health-related academic field * 2+ years of relevant work experience in epidemiological research, oncology and/or RWD * Proficiency with statistical modeling methods, including time-to-event analysis (TTE), and methodology expertise with observational datasets * Strong proficiency in querying databases with SQL * Strong proficiency in programming languages (R preferred) * Experienced conducting studies with medical coding sets (e.g. HCPCS, ICD, CPT, SNOMED, LOINC, and NDC) * Experience working with EHR-based RWD is a plus * Familiarity with oncology data and studies is a plus * Proactive and enjoys the data discovery process, digging deep and getting hands-on with data * Has an inquisitive mindset to constantly test assumptions and effectively communicate findings to both a technical and non-technical audience * Experience working with either Hematological Malignancy or Immunological Disorder is a plus Learn More About ConcertAI Our team at ConcertAI is dedicated to transforming healthcare decision-making through the application of RWE and AI to improve patient outcomes. We work in a fast-paced, dynamic, high-performing culture where diversity, collaboration, and innovation are valued. Join us on our quest to create a world free of disease. Learn more about ConcertAI at ***************** , or follow us on LinkedIn. Serving 1,300 clinical sites globally, TeraRecon - a ConcertAI company - is a Best in KLAS solution provider for AI-empowered radiology, oncology, cardiology, neurology, and vascular surgery. In the future, the combination with ConcertAI could bring a single, advanced AI-augmented diagnosis and interpretation capability from clinical trials to patient care. Learn more about TeraRecon at ***************** , or follow us on LinkedIn. EEO ConcertAI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Work Experience * Advanced degree in Epidemiology/Biostatistics or 2+ years of epidemiological research in a health care, pharmaceutical, or health-related academic field * 1+ years of relevant work experience in epidemiological research, oncology and/or RWD * Proficiency with statistical modeling methods, including time-to-event analysis (TTE), and methodology expertise with observational datasets * Strong proficiency in querying databases with SQL * Strong proficiency in programming languages (R preferred) * Oncology work experience

, based in the US **Applicants must have valid permanent work authorization in the U.S. (e.g., U.S. citizen, permanent resident). We are unable to offer visa sponsorship for this role. The Opportunity Are you passionate about applying AI to solve real-world, human-focused challenges? As an NLP Data Scientist at Workhuman, you'll contribute to developing innovative AI solutions that transform how people work and connect. You'll help shape the future of generative AI while tackling ethical and fairness challenges in NLP, ensuring our innovations are impactful and responsible. Joining our team means working on meaningful projects that drive tangible results and business value. What We Can Offer You The opportunity to help design and deploy advanced machine learning and NLP models that power Workhuman's AI products. Collaboration with a cross-functional team of Data Scientists, ML Engineers, Software Engineers, and Product Managers to build scalable and efficient solutions. Hands-on experimentation with the latest NLP techniques and frameworks to continuously improve our AI capabilities. Participation in efforts to address ethical, bias, and fairness considerations in AI, ensuring compliance and equity in all solutions. A supportive environment for continuous learning, with access to the latest research, tools, and best practices in AI. The Skills You Will Bring Experience with generative AI and chatbot product development, ideally with frameworks like LangChain and LLamaIndex. Knowledge of NLP techniques, such as text classification, sentiment analysis, and sequence tagging. Proficiency in Python programming and familiarity with NLP/ML toolkits like Sklearn, Gensim, Spacy, and NLTK. Experience with vector database technologies (e.g., pgvector, Pinecone) and deep learning frameworks (e.g., TensorFlow, PyTorch). A collaborative and solutions-oriented approach to problem-solving in dynamic environments. Strong communication skills, with the ability to convey technical concepts to non-technical audiences. Achievements Contributed to the development and deployment of NLP models that drive measurable business impact. Supported the transition of AI solutions from development to production environments. Participated in projects addressing ethical challenges in AI, ensuring fairness and compliance. Assisted in designing experiments and benchmarks to evaluate and improve NLP model performance Partnered with diverse teams to help deliver scalable, efficient AI solutions. Helped maintain a library of reusable algorithms, ensuring transparency and reproducibility in research. Thank you for considering joining our team. We strive to create an inclusive and accessible application process for all candidates. If you encounter any difficulties or have specific accessibility requirements while applying for this position, please don't hesitate to reach out to us at ******************************* for assistance. We are committed to ensuring equal access to opportunities for all individuals. The Company: At Workhuman our mission is to bring more humanity to the workplace. We recognise and embrace individuals' differences and believe that workforce diversity and inclusion are essential to our long-term growth and success. Even if you don't think you “check every single box” above, please still consider applying. We're looking for a human who is collaborative, and innovative with a growth mindset. We love what we do because we're shaping the future of work through our people and our technology. Our human cloud-based applications are helping some of the world's leading global brands connect culture to shared purpose. The Workhuman Cloud empowers employees to thank, talk and celebrate each other, creating an environment that sparks gratitude and human connection while increasing employee engagement and productivity. Did you know we have an award-winning culture across EMEA and North America: We were named as #5 Best Workplace in the Great Place to Work Awards in Ireland in 2022 in the large sized workplace category. We were also recognised as a Best Workplace for Women and a Best Workplace in Technology in 2020, 2021 and 2022. In 2021 we were named as #2 Best Workplace in Europe in the medium sized workplace category. We were also recognised as #2 Best Large Places to Work in Boston by Built In for 2023 as well as a Best Place to Work in Boston, U.S. Best Large Places to Work and U.S. Best Places to Work. There are currently over 7.5 million users on the Workhuman cloud across 180 countries. Our core values are Respect, Determination, Innovation and Imagination. Workhuman is an Equal Opportunity Employer and is committed to the principle of equal employment opportunity for all employees. We proudly provide a work environment free of discrimination and harassment. Employment decisions at Workhuman are based on solely on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic origin, sex (including pregnancy), age, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. Workhuman believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_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 + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **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:** 02/15/2026 *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 _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 (***************************************************************************************************************************

POS-31310 HubSpot, a market leader in sales and marketing technology, is the preferred platform for scaling businesses. Our Finance Data's Advanced Analytics and Insights (AAI) team drives innovation in data technologies to optimize business opportunities. We are expanding our team and seeking an experienced Senior Data Scientist to make a significant impact. As a Senior Data Scientist on the newly formed Finance data science team, you'll tackle key business challenges using data science, machine learning and Gen-AI solutions. This role is ideal for someone who enjoys solving complex data problems and collaborating with stakeholders and fellow data scientists. Strong coding skills in Python and SQL for data analysis, statistical modeling, ML and automation are essential. Experience with Large Language Models (LLMs) is a strong plus and any Java experience is nice to have. About the role: Own end-to-end scalable machine learning models for risk assessment, forecasting, anomaly detection, customer clustering, natural language processing and other key finance initiatives. Apply large language models (LLMs) to create Gen-AI applications leveraging such as chatbots and intelligent agents to support & streamline finance operations. Partner with the strategic finance teams to enhance their financial forecasting methods and support data-driven decision-making. Analyze complex datasets of structured & unstructured data using advanced analytics to generate actionable insights; communicate findings through impactful reports and presentations. Establish best practices for data science, opportunity to mentor junior analysts and contribute to the team's professional growth. Collaborate with stakeholders, data scientists and MLEs across various business groups to develop impactful solutions. About you: Bachelor's degree in Data Science, Computer Science, Statistics, Operations Research, or related field required. Masters preferred. 4+ years of experience as a Data Scientist or ML Engineer in a fast-paced environment owning end-to-end model lifecycle. Demonstrated experience in solving time series forecasting problems using a variety of techniques, along with delivering a broad range of other ML/AI solutions to address diverse business challenges. Expert-level proficiency in Python, with hands-on experience using key libraries such as Pandas, NumPy, SciPy, scikit-learn & popular nlp libraries along with strong expertise in version control tools like Git. Skilled in ML model monitoring, including tracking performance, detecting drifts and ensuring continuous improvement post-deployment. Experience leveraging large language models (LLMs) and experience with retrieval-augmented generation (RAG) concepts. Strong proficiency in SQL for data extraction and transformation. Ability to clearly communicate complex technical concepts to business leaders through presentations and written memos. Experience leading complex projects and collaborating across functional teams. What Sets You Apart: Experience with generative AI applications such as chatbots or autonomous agents. Proficiency in Java is a HUGE plus! Experience working with REST APIs to ingest and transform data into S3 buckets. Knowledge of MLOps for managing the ML lifecycle, with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) is nice to have. Familiarity with FP&A metrics, SAAS economics and finance concepts. Pay & Benefits The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot's bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot's equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons. This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot's compensation philosophy. Benefits are also an important piece of your total compensation package. Explore the benefits and perks HubSpot offers to help employees grow better. At HubSpot, fair compensation practices aren't just about checking off the box for legal compliance. It's about living out our value of transparency with our employees, candidates, and community. Annual Cash Compensation Range:$153,800-$246,100 USD We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply - we'd love to hear from you. If you need accommodations or assistance due to a disability, please reach out to us using this form. At HubSpot, we value both flexibility and connection. Whether you're a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you'll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections. If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here. India Applicants: link to HubSpot India's equal opportunity policy here. About HubSpot HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. We're building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too. Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world. Explore more: HubSpot Careers Life at HubSpot on Instagram HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.

The Team We are seeking a Principal Data Scientist to join American Tower's Information Technology organization's Data & Analytics team. The team drives the strategy, architecture, and delivery of advanced machine learning (ML) and artificial intelligence (AI) solutions across the enterprise. Day to day you will design and implement scalable ML systems, partner with the Data Engineering team on pipelines, and collaborate with the Productization & Adoption team to deploy models into production. As a Principal Data Scientist, you will set technical standards, mentor team members, and ensure solutions align with governance frameworks established by the Strategy & Governance team. What You Need to Succeed Bachelor's degree required, with a concentration in Computer Science, Statistics, Engineering, Physics, or a related quantitative field preferred. Master's degree or other advanced degree preferred. A minimum of 8 years of data science or machine learning experience with at least 5 years as a senior- or principal-level practitioner delivering models in production required. Expert proficiency in Python programming language and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Strong foundation in statistics, causal inference, time series, and optimization with an ability to select appropriate methods for given problems. Deep expertise in computer vision or geospatial/geographic information system modeling. Experience with MLOps platforms and workflows (Databricks, MLflow, Azure ML, Amazon SageMaker, or Google Vertex AI), including experiment tracking and model registry. Experience deploying models to production systems (application programming interfaces, streaming, batch workflows) with appropriate monitoring and alerting. Familiarity with data platforms (Databricks or Snowflake) and enterprise systems (Salesforce CRM, Oracle Enterprise Resource Planning) preferred. Strong written and oral communication skills, including the ability to present ideas and suggestions clearly and effectively. Ability to work with different functional groups and levels of employees to effectively and professionally achieve results. Strong organizational skills; ability to accomplish multiple tasks within the agreed-upon timeframes through effective prioritization of duties and functions in a fast-paced environment. What You Can Offer Us Partner with Operations, Finance, Sales, and Legal department stakeholders to translate complex problems into measurable AI and ML initiatives, influence the analytics roadmap, and communicate findings to technical and non-technical audiences. Act as lead technical consultant and subject matter expert for scoping AI projects, defining requirements, and ensuring high-quality deliveries of advanced solutions. Design and implement supervised, unsupervised, and reinforcement learning models, including feature engineering, model selection, and rigorous validation for accuracy and scalability. Architect solutions for unstructured data (contracts, documents, images), geospatial data, and enterprise systems (Salesforce customer resource management (“CRM”), Oracle Enterprise Resource Planning) to deliver actionable insights. Design and build end-to-end ML systems aligned with machine learning operations (“MLOps”) best practices; collaborate with the Data Engineering team on pipelines and with the Productization & Adoption team on deployments. Define and enforce standards for model governance, ethics, and bias detection in compliance with organizational policies. Mentor and guide Data Scientists, lead technical reviews, and recommend tools and methodologies to enhance the team's capabilities and performance. Other duties as assigned.

About Us Founded in 2015 to develop the world's first industrially scalable laser metal additive manufacturing solution, VulcanForms is reshaping how the world manufactures critical products. We build and operate advanced digital infrastructure that enables innovation, accelerates growth, and supports sustainability across aerospace, defense, medical, and other essential industries. Through our vertically integrated capabilities, including scalable additive manufacturing and precision machining, we deliver true end-to-end production at scale by combining cutting-edge technology with a foundation of proven industrial craftsmanship. Our team brings deep expertise in manufacturing, materials science, software, automation, and operations, united by a shared commitment to quality, curiosity, and accountability. We foster an inclusive culture where people take ownership, solve meaningful problems, and continuously learn, because we believe diverse perspectives lead to better outcomes. Job Purpose The Senior Data Scientist is responsible for transforming VulcanForms' factory data into clear, actionable insights that drive decision-making across Engineering, Operations, Quality, and Commercial teams. This role applies advanced analytics, statistics, and machine learning to understand manufacturing performance, identify opportunities for improvement, and deliver user-facing AI tools and reports that make complex data accessible to a broad audience. By combining strong analytical rigor, software engineering discipline, and the ability to clearly communicate technical results, the Senior Data Scientist accelerates the adoption of data- and AI-driven insights throughout VulcanForms and supports continuous improvement of our advanced manufacturing operations. Key Responsibilities * Design, deploy, and maintain analytics applications, dashboards, and reports that make insights accessible and actionable. Examples include printer diagnostics, print summaries, and operational efficiency metrics. * Apply statistical methods, machine learning, and advanced algorithms to factory data to uncover trends, root causes, and opportunities that inform operational and business decisions. * Design and execute exploratory analysis and experiments to test hypotheses about process inputs, correlations, and performance drivers. * Provide data-backed recommendations to improve manufacturing workflows, yield, throughput, and quality. * Create intuitive visualizations and dashboards that make data easy to understand and enable rapid insight into factory performance. * Translate complex analytical findings into clear narratives and recommendations for non-technical stakeholders, including Operations leaders and executives. * Partner closely with Data, ML, Software, Manufacturing, Quality, and Systems Engineering teams to ensure analytics are well-integrated, reliable, and aligned with business needs. * Contribute to standards for analytical development, validation, documentation, and reproducibility to ensure trust and scalability of analytics across the organization. Qualifications * Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or a related field (or equivalent experience). * 5+ years of experience in data science, applied analytics, or machine learning roles. * Strong proficiency in Python for data analysis, modeling, and visualization. * Established experience in statistics, experimental design, and data analysis techniques. * Experience developing and deploying analytical models or data-driven insights used in real operational environments. * Ability to clearly communicate technical concepts and results to non-technical audiences. * Strong software engineering fundamentals, including version control, testing, and reproducible workflows. * Ability to work independently while collaborating effectively across multiple teams. Preferred Qualifications * Experience applying analytics or machine learning in manufacturing, industrial, hardware, or operations-heavy environments. * Familiarity with machine learning techniques for time series, anomaly detection, predictive modeling, or optimization. * Proficiency in programming with SQL. * Experience building or contributing to user-facing analytics tools or dashboards using Python libraries like Dash or Business Intelligence platforms like Tableau. * Experience working with large, complex, or sensor-generated datasets. * Familiarity with ML production workflows and collaboration with Data Engineering or ML Ops teams. * Experience driving adoption of analytics tools across diverse stakeholder groups * Familiarity with metal Additive Manufacturing process physics and operational workflows, especially for Laser Powder Bed Fusion. VulcanForms offers a competitive salary and equity package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, VulcanForms provides comprehensive benefits including medical, dental, vision, and life insurance; generous paid time off; and a 401(k) plan with company match. The annual base salary range for this position is $125,000 to $170,000.

The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - ai Match, for data reconciliation, ai Cast, for prediction, and ai Plan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. Rooted in academia, Ikigai also offers unmatched educational support that upskills workforces and transforms organizations into AI-driven ones. Ikigai Academy has already trained over 6000 students from 90+ countries on topics like “No Code AI” and “Time Series Forecasting”. Role Description: We are seeking a Data Scientist who thrives at the intersection of data transformation, analytics, and implementation. In this role, the Data Scientist will partner directly with clients to prepare, clean, and transform their data so it can seamlessly integrate with our ai Cast platform. This Data Scientist will help customers unlock the value of their data-building pipelines, dashboards, and forecasts-and in many cases, own the end-to-end implementation from ingestion through delivery. This Data Scientist position is centered on data engineering, applied analytics, and client enablement. You'll play a key role in helping customers get from raw data to actionable insights. Responsibilities: Collaborate with client teams to understand their data sources, structures, and business requirements. Design and implement data transformation pipelines to prepare data for ai Cast ingestion. Build reporting and dashboarding solutions to help clients interpret and act on their data. Develop forecasting and analytics workflows to extend client use cases beyond data prep. Support end-to-end solution delivery-covering extraction, transformation, validation, and deployment-when applicable. Troubleshoot data quality issues and provide recommendations for improved structures or processes. Partner with internal engineering and success teams to ensure smooth implementations and knowledge transfer. Qualifications: At least 1-3 years of experience in a data role, preferably with enterprise clients Associate's or Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, or Applied Mathematics) preferred Proficiency in Python, including libraries like NumPy and Pandas for data transformation. Working knowledge of SQL for querying and joining datasets (intermediate level). Experience building ETL/ELT pipelines or similar data processing workflows. Familiarity with data visualization, reporting, or dashboarding tools. Strong problem-solving skills with a focus on client outcomes and practical implementation. Ability to work with incomplete or messy data and structure it for usability in production systems. Excellent communication skills for translating technical work into business impact. Preferred Skills: Knowledge of data transformation (e.g. using python Pandas library) database management, data integration, or data visualization is a plus Experience with forecasting techniques or applied time-series analytics. Background in client-facing or consulting roles where you owned implementation delivery. Understanding of software engineering best practices (version control, testing, deployment). Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law.

Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://bit.ly/1C0AbCD *You can apply through Indeed using mobile devices with this link. Job Description No Sponsorship/Visa's Our established client is looking for a Data Scientist to join their Data/Analytics team. Please come with passion working on data parsing, analyzing, investigating, interpreting, modeling, and extracting knowledge from large volumes of data. You enjoy processing data to help drive better business decisions in a fast-paced environment. Preference will be given to previous experience with online marketing campaigns or a strong motivation to gain knowledge in the field. Responsibilities of the Data Scientist: Extract data from databases, write scripts to parse, clean, combine, and process them Work with an extensive online marketing SQL database and prepare reports to drive actionable optimization decisions Develop a tailored global bidding strategy for online marketing campaigns Collaborate with external providers (e.g. Google, Kenshoo) and incorporate their solutions for bidding and reporting Prepare graphs or visualizations of processed data, identify trends, anomalies Investigate data problems, identify patterns Draw inferences and conclusions, communicate results through reports, charts, or tables Requirement of the Data Scientist: Computer Science, Electrical Engineering, or Mathematics degree. Masters or PhD a plus SQL and database experience is a must, with Hive/Hadoop preferred Solid programming skills with at least one high-level language such as Python, Java, Perl, or C/C++ Good knowledge of data structures, algorithms, and statistics Basic knowledge of Unix shell scripting Knowledge of Adwords (or other online marketing tools) a plus Knowledge of Machine Learning would be a plus Additional Information All your information will be kept confidential according to EEO guidelines. Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://bit.ly/1C0AbCD *You can apply through Indeed using mobile devices with this link.

**_What Data Science contributes 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 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. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_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 + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **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:** 11/05/2025 *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 (***************************************************************************************************************************

POS-2742 The Mission HubSpot's mission is to help millions of organizations grow better. We build a CRM platform for scaling businesses that helps them deliver a delightful customer experience. The HubSpot People Analytics team helps HubSpot employees (or HubSpotters, for short) thrive so that they can delight customers. We do that by building analytical products to help HubSpotters grow better. As a Senior Data Scientist, you will help the People Analytics team advance our work improving Engineer productivity. This role involves working in close partnership with the Developer Experience team in Engineering to help HubSpot's Software Engineers work more efficiently and effectively. You will build statistical models, identify predictive analytics opportunities and challenges, integrate AI solutions into our processes, and support these solutions after they are deployed. Responsibilities Collaborate with teammates to identify challenges facing partners and solve them with statistical modeling and predictive analytics. Clear communication is key as you work with both technical and non-technical audiences. Develop and maintain statistical models and predictive analytics that focus on employee outcomes such as attrition and performance. Design and implement analytics solutions that surface key insights, predict future outcomes, and inform developer experience and operations investments and key decisions. In collaboration with Data Engineers, you will identify and help ingest new big data sources. Your proficiency in data query/processing languages and tools, such as SQL and Snowflake, will aid in translating these data sources into predictive features. Your interest and experience in using Large Language Models (LLMs) to aid analytics will open up new avenues for innovation in this role. Qualifications Experience building, validating, and deploying statistical models to solve real business problems. Understanding of predictive analytics fundamentals, including model training, selection, validation, and updating. Experience building predictive analytics solutions, from the prototype phase to production. Experience partnering with Engineering teams and familiarity with development processes and metrics. Proficiency in Python (bonus for experience using R). Proficiency in SQL (bonus for experience with dbt or other data warehousing tools). Bonus points for prior experience using Large Language Models in analytics. Pay & Benefits The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot's bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot's equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons. This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot's compensation philosophy. Benefits are also an important piece of your total compensation package. Explore the benefits and perks HubSpot offers to help employees grow better. At HubSpot, fair compensation practices aren't just about checking off the box for legal compliance. It's about living out our value of transparency with our employees, candidates, and community. Annual Cash Compensation Range:$143,500-$186,600 USD We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply - we'd love to hear from you. If you need accommodations or assistance due to a disability, please reach out to us using this form. At HubSpot, we value both flexibility and connection. Whether you're a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you'll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections. If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here. India Applicants: link to HubSpot India's equal opportunity policy here. About HubSpot HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. We're building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. 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**The Team** We are seeking a Principal Data Scientist to join American Tower's Information Technology organization's Data & Analytics team. The team drives the strategy, architecture, and delivery of advanced machine learning (ML) and artificial intelligence (AI) solutions across the enterprise. Day to day you will design and implement scalable ML systems, partner with the Data Engineering team on pipelines, and collaborate with the Productization & Adoption team to deploy models into production. As a Principal Data Scientist, you will set technical standards, mentor team members, and ensure solutions align with governance frameworks established by the Strategy & Governance team. **What You Need to Succeed** + Bachelor's degree required, with a concentration in Computer Science, Statistics, Engineering, Physics, or a related quantitative field preferred. + Master's degree or other advanced degree preferred. + A minimum of 8 years of data science or machine learning experience with at least 5 years as a senior- or principal-level practitioner delivering models in production required. + Expert proficiency in Python programming language and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). + Strong foundation in statistics, causal inference, time series, and optimization with an ability to select appropriate methods for given problems. + Deep expertise in computer vision or geospatial/geographic information system modeling. + Experience with MLOps platforms and workflows (Databricks, MLflow, Azure ML, Amazon SageMaker, or Google Vertex AI), including experiment tracking and model registry. + Experience deploying models to production systems (application programming interfaces, streaming, batch workflows) with appropriate monitoring and alerting. + Familiarity with data platforms (Databricks or Snowflake) and enterprise systems (Salesforce CRM, Oracle Enterprise Resource Planning) preferred. + Strong written and oral communication skills, including the ability to present ideas and suggestions clearly and effectively. + Ability to work with different functional groups and levels of employees to effectively and professionally achieve results. + Strong organizational skills; ability to accomplish multiple tasks within the agreed-upon timeframes through effective prioritization of duties and functions in a fast-paced environment. **What You Can Offer Us** + Partner with Operations, Finance, Sales, and Legal department stakeholders to translate complex problems into measurable AI and ML initiatives, influence the analytics roadmap, and communicate findings to technical and non-technical audiences. + Act as lead technical consultant and subject matter expert for scoping AI projects, defining requirements, and ensuring high-quality deliveries of advanced solutions. + Design and implement supervised, unsupervised, and reinforcement learning models, including feature engineering, model selection, and rigorous validation for accuracy and scalability. + Architect solutions for unstructured data (contracts, documents, images), geospatial data, and enterprise systems (Salesforce customer resource management ("CRM"), Oracle Enterprise Resource Planning) to deliver actionable insights. + Design and build end-to-end ML systems aligned with machine learning operations ("MLOps") best practices; collaborate with the Data Engineering team on pipelines and with the Productization & Adoption team on deployments. + Define and enforce standards for model governance, ethics, and bias detection in compliance with organizational policies. + Mentor and guide Data Scientists, lead technical reviews, and recommend tools and methodologies to enhance the team's capabilities and performance. + Other duties as assigned. American Tower is a global digital infrastructure company serving customers through tower sites and other real estate solutions that support connectivity and opportunity, focused on achieving our vision of Building a More Connected World. Our success is rooted in the potential of our people and the power of local teams at our offices and sites across 25 countries. We are one of the largest global Real Estate Investment Trusts (REITs) and a publicly traded (NYSE:AMT), Fortune 500 Company headquartered in Boston, Massachusetts. The next decade will be an exciting time as we evolve our infrastructure to meet tomorrow's needs and position our people to elevate their impact, their potential, and our shared success. Come grow your career with us! For more information about how American Tower is building a more connected world, visit americantower.com American Tower is proud to be an equal opportunity employer and will not discriminate against an applicant or employee based on age, sex, sexual orientation, gender identity, race, color, creed, religion, national origin or ancestry, citizenship, marital status, familial status, disability, military or veteran status, genetic information, pregnancy, reproductive decisions, or any other characteristic protected under applicable law. American Tower is committed to fair and equitable compensation practices. Placement within the salary range is based on a variety of factors, including relevant experience, skills, certifications, job level, and location. For U.S.-based candidates only, please see the base salary range for this position listed below. This position is also eligible for annual bonus, and annual equity award and participation in the Employee Stock Purchase Plan (ESPP). For candidates outside of the U.S., salary and benefits are based upon local market practice. American Tower also offers a comprehensive benefits package, which includes healthcare coverage, a 401(k) savings plan, paid time off, company holidays, sick leave, parental leave, and access to an Employee Assistance Program focused on mental and financial wellness, please click here (************************************************** to learn more. **Requisition ID** : 2271