Lead Data Scientist Salary at Rapp Ltd BETA

Role: Lead Data Scientist Skills: Advanced Analytics and Machine Learning, CRISP-DM, MLOps and CI/CD Location: Madrid, Spain (Hybrid) Type: Permanent We are at Coforge hiring for Lead Data Scientist with Advanced Analytics and Machine Learning, CRISP-DM, MLOps and CI/CD Role Summary We are seeking a Lead Data Scientist passionate about leading innovative projects in the field of artificial intelligence and machine learning. This role requires a combination of advanced technical skills, leadership, and the ability to work in a team. You will be responsible for guiding a team of data scientists and collaborating closely with stakeholders to design solutions that directly impact the company's strategic objectives. Main Responsibilities Lead and execute end-to-end Advanced Analytics and Machine Learning projects, following methodologies such as CRISP-DM. Design, implement, and optimize NLP (Natural Language Processing) and Generative AI models, using advanced frameworks such as PyTorch, Te

LEAD DATA SCIENTIST HEALTHTECH Location: New York, NY Compensation: $175,000 - $200,000 / year THE COMPANY: Our client is an innovative health-tech company using AI, data science, and advanced analytics to transform healthcare. Focused on reducing misdiagnoses in radiology, their mission is to improve patient outcomes and drive cost-effective healthcare solutions. With major clients and a rapidly growing user base, the company is scaling quickly, bolstered by significant funding to expand their technology and data science teams. THE ROLE: Our client is looking for a Senior Data Scientist to join their growing team. This role will be critical in analyzing healthcare claims data, conducting causal inference modeling, and contributing to the mission of improving clinical outcomes. The individual will provide technical leadership, collaborate across teams, and support the development of data pipelines and statistical models. KEY RESPONSIBILITIES: Perform in-depth analysis of healthcare cla

About the Job: As a Lead Data Scientist, you will transform complex data into actionable insights using advanced quantitative methods. You will analyze and interpret large datasets to inform business decisions, and craft compelling presentations to drive business strategy and optimize customer engagement. A Day in the Life: Provide actionable insights to stakeholders through data analysis, research, and modeling. Integrate and manage internal and external data sources, including structured and unstructured data. Develop and apply advanced quantitative methods, including statistical models and machine learning techniques. Analyze customer behavior and market trends to inform business strategies and optimize ROI. Prepare and deliver clear, insightful presentations to various audiences. Conduct multi-channel analysis, leveraging online and offline data to drive business decisions. Mentor and manage junior data scientists, guiding workflow and development. What You Will Need: Bachelor's de

About Our Organization: Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world's largest news-gathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal, America's largest newspaper by paid circulation; Barron's, MarketWatch, Mansion Global, Financial News, Investor's Business Daily, Factiva, Dow Jones Risk & Compliance, Dow Jones Newswires, OPIS and Chemical Market Analytics. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV). About the Role: Dow Jones is looking for an experienced Lead Data Scientist to guide and enhance the core data science capabilities within the Dow Jones AI Engineering Team and our Commercial Tech team. You will take ownership

Lead Data Scientist 180K-220K base salary U.S. Citizen or Green Card Holders Only On Site 4 Days a Week in Houston, TX Company Description: Our client operates in the automotive/retail/ supply chain space and is seeking a Lead Data Scientist with heavy logistics and supply chain industry experience. A background in working with logistics and supply chain data, as well as working on end-to-end data science projects is important for this position. Role Description: Translate business needs into analytics/reporting requirements for data-driven decisions. Stay updated with the latest data science techniques and technologies, implementing innovative solutions to enhance data analysis and modeling capabilities. Communicate complex data insights effectively to stakeholders across the organization, including non-technical audiences. Manage use case design and build teams, providing guidance as they develop and operationalize data science models. Ensure analytical insights and products are inte

Posses a Master's degree or PhD in Engineering, Statistics, Machine Learning, Computer Science, Econometrics, or related quantitative fields Over 5 years of professional experience showcasing proven expertise in the development, implementation, and validation of Data Science Models, Data Engineering, and MLOps. Specialized skills include the development and implementation of Machine Learning algorithms such as SVM, neural networks, random forest, and XGboost, as well as expertise in hyperparameter tuning. Proficiency is demonstrated in scripting for data analysis using Python API, PySpark/Spark API, and familiarity with NoSQL, MYSQL, or PostgresSQL databases. Experience extends to building MIS infrastructure, dashboards, KPIs, and monitoring/interpreting report data to derive insights on ML model performance, business trends, and emerging risks. Demonstrating adeptness in model deployment and management using Docker and directory structures, the candidate possesses a robust understandi

Lead Data Scientist - NIKE USA, Inc. - Beaverton, OR. Develop predictive and descriptive models to identify new opportunities to bring value through data-driven insights and innovation; collaborate with multi-disciplinary teams, deliver work on time against a roadmap, and share their work with non-technical audiences; apply contemporary data science and analytics methods; extract consumer preferences and tendencies from event streams; develop algorithms to target and reward deserving members; predict which consumers and how many are likely to want to purchase upcoming footwear and apparel ; create models and simulations to understand marketplace dynamics; design and analyze experiments to illuminate causality; act as a strategic partner to business team members and lead research and analysis to inform business strategy; build stakeholder-facing tools to support decision-making ; create work to communicate significant insights to a non-technical audience; collaborate with other data sci

Lead Data Scientist will work to build scalable, production ready machine learning and statistical models to improve healthcare data latency through automation. This role will focus on advanced statistical and machine learning solutions collecting, cleansing, interpreting large volumes of data from varying sources, designing and delivering production ready models, monitoring and maintaining models' health in production, all while communicating key findings with stakeholders. Serve as an expert on quantitative analysis, data mining, and presentation of data. Serve as expert on statistical and mathematical models for distinguishing relevant from irrelevant content or events. Qualifications: Minimum Education Masters's degree in a quantitative/statistical or business field (e.g., Statistics, Mathematics, Engineering, Computer Science). (Required) Doctor of Philosophy (Ph.D.) PhD preferred (Preferred) Minimum Work Experience Requires deep functional knowledge with 10 years of related exper