Fetching information
Preparing content
We are seeking an experienced Artificial Intelligence (AI) Tester to join our team.. Skilled in AI development frameworks such as TensorFlow, PyTorch, scikit-learn, and/or Keras. Understanding of and experience in machine learning and artificial intelligence testing. Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military). Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development.
A fast-growing, mission-driven tech company in the behavioral modeling and personalization space is seeking a Senior Staff/Technical Lead Machine Learning Engineer to join and lead a team.. Hands-on experience with orchestration tools ( Airflow , Bazel ), data infrastructure ( Spark , SQL , Scala , or Python ).. Familiarity with cloud platforms (AWS, Databricks) and ML tooling (MLFlow, TensorFlow, Kubernetes).. Fully Remote (with hybrid options in Boston, SF Bay Area, Seattle, NYC). Machine Learning Engineering, AdTech, Personalization, Recommender Systems, MLOps, CI/CD, Airflow, Spark, Python, AWS
We are looking for a Principal Data Scientist to join our Government Consumer Analytics team at CVS Health. 8+ years' experience solving analytics problems using advanced statistics, machine learning, mathematical algorithms and predictive modeling.. 8+ years' experience with: Python, SQL, Cloud applications (GCP, AWS, Azure), machine learning, casual inference and experimental design.. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
A&BC leverages advanced analytics, machine learning, modeling, and a hypothesis-driven approach to quickly transform data into actionable, customer-centric insights to drive growth, improve health outcomes and access to health care across all of our businesses in CVS Health. Define data science initiatives by utilizing data mining, data modeling, large language models, and machine learning techniques to extract data from multiple sources and deliver predictive models that inform solutions.. 7+ years' experience with statistical concepts and advanced analytic techniques, such machine learning models (e.g., linear regression, tree-based non-linear, time series, random forests, natural language processing (NLP. Proficiency with Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, DataProc, and Cloud Composer.. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Job Title: Machine Learning Engineer. Intelligent Automation, Inc. (IAI) is looking for a junior to mid-level team member to contribute to a variety of machine learning, deep learning, and big data projects.. Related projects at IAI include multi-sensor fusion, information retrieval in big data applications, sensor simulation, text mining, image and video processing, and constrained optimization.. Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools across different domains.. Nor will BLOCKCHAIN TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
EY delivers unparalleled cross functional tech consulting services in artificial intelligence, autonomous systems and modeling and simulation. Proficiency in deep learning, machine learning, and data architecture design. Focused on Business or Economics, Technology Entrepreneurship, Computer Science, Engineering, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.. Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases. Microsoft, Databricks, AWS, NVIDIA or Snowflake Certifications in the Data & AI domain
EY delivers unparalleled cross functional tech consulting services in artificial intelligence, autonomous systems and modeling and simulation.. Proficiency in deep learning, machine learning, and data architecture design.. Focused on Business or Economics, Technology Entrepreneurship, Computer Science, Engineering, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.. Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.. Experience in leading business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale.
As a Principal Product Manager at Epicor, you will lead the strategic direction and execution of our AI-powered products and solutions across our Cognitive ERP portfolio.. Supporting go-to-market strategies by working with Product Marketing to develop positioning, demos, enablement materials, and customer references.. Experience leading cross-functional teams across engineering, UX, marketing, and data science.. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.. Exposure to ETL pipelines, data engineering concepts, and supporting infrastructure.
About the Role: Join our team as an experienced Senior Data Scientist to extract valuable insights from complex datasets and apply advanced analytical and machine learning techniques to solve critical business problems within an AI tech company context.. Minimum 6 years of experience in data science, statistical analysis, or machine learning.. Proficiency in programming languages such as Python or R, and extensive experience with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is often preferred for senior roles.. Associate Director, Data Scientist & Data Operations Washington DC-Baltimore Area $220,000.00-$230,000.00 3 weeks ago
About the Role: Join our team as an experienced Senior Data Scientist to extract valuable insights from complex datasets and apply advanced analytical and machine learning techniques to solve critical business problems within an AI tech company context.. Minimum 6 years of experience in data science, statistical analysis, or machine learning.. Proficiency in programming languages such as Python or R, and extensive experience with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is often preferred for senior roles.. Associate Director, Data Scientist & Data Operations Washington DC-Baltimore Area $220,000.00-$230,000.00 3 weeks ago
Profound experience and theoretical understanding of advanced quantitative methods in statistical, machine learning and deep learning.. Extensive experience with SQL, Python, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Significant experience with cloud platforms (e.g., AWS, Microsoft Azure, Databricks, Kubernetes). Experience in advanced modeling techniques, including numerical optimization algorithms, natural language processing (NLP), large language models (LLM) and reinforcement learning. Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C. data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.. Use programming languages (e.g., Python, R) to manipulate and analyze large data sets. Provide statistical analysis as well as (e.g. variability, sampling error, inference, hypothesis testing, EDA, applications of linear models), data management, data mining, data modeling and assessment
We’re looking for a Lead Data Scientist with deep technical expertise and strong communication skills to lead end-to-end AI/ML projects for top-tier clients across marketing, customer experience, and business process optimization and operations.. Design and oversee robust data pipelines using SQL, Spark, and cloud platforms (AWS, GCP, Azure).. Architect and implement solutions involving LLMs, transformer-based models, and AI agents for generative tasks and automation.. Proficiency in Python (and optionally R or Scala), including libraries like scikit-learn, TensorFlow, PyTorch, etc.. Strong SQL and data engineering skills; Spark/Databricks experience is a plus.
The Data Scientist may utilize Deep Learning and Machine Learning models for production or solutions.. When required, complete model risk management documents.. Serve as a data subject matter expert, improve data literacy, and act as a data consultant for assigned areas of the business.. Utilize publicly available machine learning or deep learning tools such as TensorFlow, Keras, Scikit-learn, NLTK, etc.. 2 or more years experience with TensorFlow, Scikit-learn, Keras, Torch, or NLP libraries.
Very Strong hands-on experience with PySpark, Apache Spark, and Python.. Strong Hands on experience with SQL and NoSQL databases (DB2, PostgreSQL, Snowflake, etc. Proficiency with workflow schedulers like Airflow.. Experience with PySpark, Apache Spark, and Python.. Experience with SQL and NoSQL databases (DB2, PostgreSQL, Snowflake, etc
Applied Data Scientist Internship (DoD SkillBridge).. Active TS/SCI Clearance required; clearance level and polygraph level requirements may vary.. Experience within at least two (2) of the following skill areas: Mathematics/Statistics Computer Science Scripting Cloud Computing Data Mining, Metadata Analysis or Machine Learning Artificial Intelligence Data Visualization or Data Automation. Data science Advanced analytical algorithms Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) Data management (e.g., data cleaning and transformation) Data modeling and assessment Artificial intelligence Software engineering.. Experience or familiarity with data analytics and/or the following advanced scripting languages and tools: Python, SQL Jupyter Pig ELK Stack Splunk PowerBI Jupyter Notebooks
Apply technical knowledge to architect solutions that meet business and IT needs, create Data Platform, AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics technologies where appropriate (e.g. Azure ML, Database Platforms, Big Data, Data Lake, Azure Databricks, Azure Synapse, etc. SQL platforms including SQL Server (Database/Analysis Services), Azure SQL DB, OSS Databases (PostgreSQL), ETL/ELT systems. Big Data platforms including SQL DW (Synapse), Snowflake, Redshift, Spark (EMR/HDInsight). Advanced Analytics, including Azure Databricks. Professional Cloud Certification in one or more of the following technologies: Cloud, Database, Big Data, BI, Data Science, Machine Learning, Artificial Intelligence.
Principal Machine Learning Data Scientist - Gen AI. Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.. Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities.. Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.. Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. The Data Operations Group at Eisai, Inc. is looking for a Director - Data Scientist/Programmer to drive drug development through predictive modeling of disease and drug response. NLP & LLM: Apply NLP techniques and LLMs to analyze unstructured data and generate visual insights. Pipeline Orchestration & Automation: Automate data workflows using tools like Apache Airflow, Prefect, and Dagster. Familiarity with big data tech (Hadoop, Spark) and cloud platforms (AWS, Azure).
Must be able to obtain a Public Trust Clearance. Apply Business Process Management (BPM), general business processes and operations for organizational processes analysis/modeling. Apply Business Analytics (BA) and Business Intelligence (BI) methods/tool for data analysis, applying cognitive technologies, predictive modeling, and relevant services.. Develop data driven Customer Relations Management (CRM), UI/UX requirements and design. Knowledge and experience of emerging technologies such as machine learning (ML), artificial intelligence (AI), natural language processing (NLP), UI/UX, Python, and business intelligence tools such as Tableau.