Data Science & Machine Learning Jobs

This role requires a deep understanding of AI agentic programming, machine learning algorithms, natural language processing (NLP), computer vision, AWS and GCP cloud technologies, and MLOps practices. Lead the design and implementation of AI/ML solutions on AWS Bedrock and Google Vertex AI, including model selection, training, optimization, and deployment. Demonstrate deep understanding and proficiency in utilizing AWS Bedrock services (e.g., Titan FMs, foundation models) and Google Vertex AI services (e.g., Vertex AI Workbench, pre-trained APIs, custom training, MLOps tools) for various product initiatives. Develop and optimize high-performance machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, spaCy) for predictive analytics and NLP. Utilize AWS services (e.g., EC2, S3, Lambda, SageMaker) and GCP services (e.g., Compute Engine, Cloud Storage, BigQuery, Vertex AI) to build and manage scalable and cost-effective cloud infrastructure for AI/ML workloads.

Client is looking for someone who is a Machine Learning Engineer.. Industry machine learning experience doesn’t have to be healthcare. Successfully trained and deployed a population-based or personalized ML/deep learning machine model (image, NLP, video, or audio) into production, with retraining capability. Hands-on experience in ML learning DevOps and production environments with multiple model incidences or hierarchy of models. Strong experience with a high-level machine learning framework such as TensorFlow, Caffe, or Torch, and familiarity with others

Using our sophisticated AI-based walk-in-walk-out Frictionless Shopping solution, AWM is reinventing retail, industrial supply, and more. Potential client items that are less technical in nature than pure programming.. Experience with Jira / Confluence strongly preferred.. AWM is an artificial intelligence, computer vision, machine learning and deep learning technology company with a comprehensive suite of solutions that address problems that are top of mind for retailers (and beyond), including a solution for cashierless shopping and fully autonomous stores. Identified as a vendor transforming retail by Gartner

Projects include strategic decision support, content portfolio management, merchandising, acquisition & licensing, release strategy optimization, and churn & subscriber health.. Use your indepth knowledge of code efficiency, optimization and refinement to help streamline our complex statistical model products that predict future slate content engagement and lifetime value of new and existing subscribers. Apply advanced analytics techniques (data mining, data visualization, statistical analysis, causal inference, regression, machine learning, time-series forecasting) to large-scale, high-dimensional data in order to inform global business decisions. Familiarity with data exploration and data visualization tools such as Looker, Tableau, or JupyterLab/Notebook. Experience engineering, deploying, and maintaining data solutions using technologies like Databricks, S3, and Spark

The Postdoctoral Scientist in the Dou Lab at Cedars-Sinai will create and lead research to improve translational cancer research by leveraging clinical and image data.. In the Dou Lab we use advanced data science methods, including artificial intelligence and machine learning, to investigate the use of multimodal medical image data, including but not limited to CT and MRI, as well as electronic health records (EHR) to improve the cancer clinical decision making.. The successful candidate will have access to the rich and unparalleled resources at Cedars-Sinai Cancer.. You will work closely with Dr. Dou and a collaborative research team focused on using artificial intelligence (AI) and machine learning (ML) to interpret multimodal imaging (CT, MRI) and electronic health record (EHR) data to improve cancer care and decision-making.. Business Entity : Cedars-Sinai Medical Center

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Experience working with advanced analytics solutions involving causal inference and predictive modeling. About the job As a Marketing Data Science Manager for the Global YouTube Marketing team, you will be a pivotal leader in driving our marketing strategy through advanced data science methodologies. Partner with cross-functional teams (marketing, data engineering, analytics) to build data models, automate processes, and unlock actionable insights that drive business decisions and results.

We are seeking an Associate Principal Data Scientist —a highly experienced and technically deep individual contributor who leads through influence, owns high-impact initiatives, and drives scientific excellence across experimentation and modeling.. 14+ years of industry experience (or equivalent post-graduate experience) in data science, experimentation, statistical modeling, and machine learning, including work with large-scale systems.. Proficient in Python and SQL; familiarity with big data tools (e.g., Spark, Hive) and cloud computing platforms (e.g., GCP, AWS).. Strong systems thinking—able to zoom out and define strategy while also diving deep into code and analysis.. Familiarity with modern data orchestration and versioning (e.g., Airflow, dbt, MLflow).

Oversee execution of this research using a broad range of analytically rigorous, quantitative and qualitative research tools, methods, and skills.. Domain expertise in one or more relevant biology domains (e.g., virology, molecular biology, computational biology, biosecurity, etc ).. Proficiency in Python or other popular programming languages and machine learning frameworks ( e.g. PyTorch , TensorFlow).. A PhD in Virology, Molecular Biology, Computational Biology, Biology, Biostatistics, Biosecurity, Biodefense, Artificial Intelligence, Computer Science, National Security Policy, Policy Analysis, or similar with at least 3 years of relevant professional experience. Fully remote work will also be considered.

We are seeking an exceptional Senior Applied Data Scientist specializing in computer vision and image-based data to drive innovation within our pharmaceutical R&D division.. Develop and fine-tune CNNs, SSM, and other deep learning models to enhance image processing in pharmaceutical applications.. Optimize LLM and CV frameworks for efficiency and scalability.. MSc or PhD in Data Science, Machine Learning, AI, or a related field.. Experience with multi-modal AI systems integrating text and image processing.

Machine Learning Engineer. The Machine Learning Engineer will join the team to automate and scale the validation of device setup workflows across the channel store environments.. Own and iterate on NLP + CV systems that power internal tools and customer-facing technologies. Experience with SoTA CVML, including VLMs, Multi-modal LLMs, Agentic workflows, etcHands-on experience with Vision-Language Models i.e. CLIP, BLIP, Flamingo, etc.. Strong programming in Python, and related machine learning tools i.e. PyTorch, CoreML, etc.

Machine Learning Engineer. The Machine Learning Engineer will join the Channel Sales and Operations team and develop and maintain a sophisticated chatbot system.. 3+ years of Machine Learning experience, with a specialization in NLP-related fieldsText classification, named entity detection, embeddingsExperience with LLMs and how they integrate into conversational AI systemsForecasting with Prophet. Experience with Machine Translation systems and their application in multilingual chatbot systems.. Familiarity with Retrieval-Augmented Generation and its use in improving chatbot responses.

Constructs analytic datasets using SQL and Databricks, builds and deploys ML models, and communicates findings through presentations and dashboards. Demonstrated experience in statistical modeling, machine learning, and data mining. Advanced proficiency with SQL, R and Python including packages such as NumPy, Pandas, Sklearn, XGBoost, Deep Learning.. That’s why we offer more than 60,000 single-family homes across the U.S., located in vibrant neighborhoods. Once you’ve moved in, we simplify your day-to-day through online customer solutions and professional maintenance support, so you can enjoy your weekends stress-free.

Software Resources has an immediate job opportunity for a Machine Learning Engineer with a major corporation in Burbank, CA.. We are seeking a Machine Learning Engineer to join our StudioLAB team – an innovation-focused group that shapes the next generation of creative and production technology across Studios.. Machine Learning Development. Design, develop, debug and deploy new applications of machine learning using frameworks such as PyTorch and TensorFlow. Experience with major deep learning frameworks (PyTorch, TensorFlow, etc.)

Sleeper is one of the fastest–growing sports platforms in the US. We build free‐to‐play fantasy titles and real‐money Daily Fantasy Sports (DFS) games across the NFL, NBA/WNBA, MLB, NHL, EU football, and more.. Feature engineering & model tuning – Own the pipelines that transform raw bet, player, and market data into features for our pricing and exposure models (BigQuery + SQLX, Python, Pandas).. Fluent in Python, SQL, and modern ML tooling (scikit‐learn, XGBoost, Airflow or similar).. Familiar with sports data and the economics of fantasy / sportsbook markets; plus if you’ve built pricing or risk models.. Experience with BigQuery, Looker, dbt, or similar analytics stacks.

At TWG Group Holdings, LLC (‘TWG Global’), we are at the cutting edge of innovation and business transformation, leveraging data and AI to manage a diverse portfolio that spans Investments, Securities, Insurance, Finance, Corporate Lending, Merchant Banking, as well as Sports, Media, and Entertainment.. As Staff Data Scientist, you will lead the development and implementation of cutting-edge AI solutions to drive significant business impact, including cost optimization and revenue growth.. You will drive the development of predictive modeling use cases, prioritize AI governance, and champion the ethical and responsible use of AI across the organization.. Strong expertise in statistical analysis, machine learning, and data mining, including time series forecasting, reinforcement learning, optimization, and speech or conversational AI.. Proficiency in programming such as Python, R, or similar, and experience with data visualization tools.

We are seeking a highly skilled Associate Research Scientist to join our team. Implement AI pipelines and tools using modern machine learning frameworks (e.g., PyTorch, TensorFlow). Proficient in Python and experience with deep learning libraries (e.g., PyTorch, TensorFlow). Familiarity with computer graphics fundamentals, geometry processing, or simulation. Ability to bridge AI model development with practical deployment in 3D visualization, asset creation, and construction coordination.

CoStar Realty Information, Inc. seeks a Data Scientist to analyze and interpret statistical data applied towards the evaluation and improvement of Commercial Real Estate modeling through quantitative research.. Document commercial real estate models, analytic products, and tolls for external and internal clients.. Position requires a Master’s degree in Finance, Statistics, Mathematics, or a related field, and 6 months of experience with design and programming for predictive modeling.. Experience must include a minimum of: 6 months of experience with SQL; 6 months of experience with Python, R, and STATA; 6 months of experience with statistical methods; 4 months of experience with end-to-end development of predictive modeling; and 2 months of experience with ML classification and regression techniques.. CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing.

Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to help our ZSers cultivate community spaces, obtain resources to thrive, and share their passions. Lead end-to-end development lifecycle of innovative ML-based enterprise products for complex business problems. Publish thought leadership pieces and present at industry conferences. In-depth knowledge of advanced algorithms (e.g., deep learning, NLP, recommenders). Domain knowledge in industry verticals such as travel, hospitality, retail, asset management, and high-tech is highly preferred.

The Data Science team is pivotal in the delivery of modern agency services. Required Skills Hands-on programming language skills (SQL, Python, R, etc.. Intermediate exposure to machine learning techniques, causal models, etc. Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online). Education and Experience A university degree in mathematics, computer science, statistics, or related field, and 3-5 years of experience in informatics work in academia, advertising, management consulting, marketing, or digital consulting.

Job Summary The selected candidate will play a pivotal role in leading a focused research program in Artificial Intelligence (AI) and Mathematics. The primary objective of this program is to harness machine learning tools, with a particular emphasis on reinforcement learning (RL), to tackle complex research-level mathematical problems and to innovate new algorithms for mathematical reasoning. Publish research findings in reputable scientific journals and present at conferences. Extensive experience with machine learning, especially reinforcement learning. Our benefits package includes competitive compensation, health, dental, and vision insurance, retirement savings plans, generous paid time off (vacation, holidays, sick time, parental leave, bereavement, etc.)