Scientist Salary at Par Pharmaceutical Companies Inc BETA

Summary: Hedra is a pioneering video foundation model company founded by former Stanford PhDs and backed by top investors at Index, A16Z, and Abstract Ventures. We're building a full-stack creation studio capable of control, emotion, and creative intelligence. We raised 10 million dollars in our seed round to revolutionize content creation. Our flagship product, the Character foundation model, launched in late June and garnered national attention, landing us on the top of Reddit (multiple times!) and Twitter. In early October we released Character-2, which has already produced highly creative and viral content. Responsibilities: Model Training: Develop and train generative AI models for video, image, text, and audio, focusing on creating high-quality, controllable avatars. Conditioning Methods: Implement and enhance techniques to add controllability to large models, improving their flexibility and performance. Distributed Training: Manage training processes across hundreds or thousands

About the job Data Scientist Location: New York (USA), Bangalore, Delhi Mode of Work: Remote Brief Overview of the Job Description: We are seeking a highly skilled Data Scientist to join our client, a leading product-based software company. This role leverages large volumes of data using modern tools and technologies to uncover insights, build predictive models, and contribute to strategic decision-making. It requires a blend of technical data science expertise, analytical problem-solving, and a passion for transforming data into actionable insights. Key Responsibilities: Design and implement statistical models and machine learning algorithms to drive data-driven decision-making and support financial objectives. Optimize data strategies to reduce costs and improve data processing efficiency. Collaborate with cross-functional teams to understand business needs and provide data-driven solutions that enhance customer satisfaction. Present findings to stakeholders, translating complex data

Job Description: Required Skills: Machine Learning, Hypothesis Testing, Regression Analysis, Predictive Modeling, and Natural Language Processing, Python/R, SQL, pyTorch, Tensorflow Desired Skills : Strong Math and Statistics background. Familiar with machine learning product system design. Familiar with Large Language model. Proficient in model documentation and model governance. Position Summary : Work with business SMEs to understand data requirements and translate them into predictive models and analytical tools. pply techniques in natural language processing and applied mathematics to develop text classification tools to automate the existing manual review of the documents. Present information using data visualization techniques and communicate findings and mine useful insights. ssess the effectiveness and accuracy of new data sources and data gathering techniques. Develop processes and tools to monitor and analyze model performance. Diverse Lynx LLC is an Equal Employment Opportu

ITE Management, a leading investment manager and private equity firm specializing in the acquisition of transportation equipment and asset operating platforms in the infrastructure sector, is seeking an Accounting Manager to join their Finance & Accounting team in New York. Founded in 2014, ITE targets real asset investment opportunities that are cash yielding with downside protection, and benefit from a team with deep, longstanding relationships and financial and operating expertise. Today, the firm manages over $9bn of assets globally across rail, intermodal, aviation, and emerging technology strategies with office locations in NYC, Chicago and St. Louis. We are seeking a highly skilled Data Scientist to join our growing team of data scientists at ITE. As a Data Scientist you will play a critical role in driving data-driven decision-making across our investment strategies, portfolio management, and risk platform. You will work closely with our verticals, business intelligence analyst

About the Role: Grade Level (for internal use): 09 The Team: We are seeking a Data Scientist - NLP, LLM and GenAI to join our ML & Data Science team within the Data Science COE at S&P Global. As a Data Scientist, you will contribute to the design, development, evaluation and deployment of machine learning, NLP, LLM and GenAI models and data pipelines working closely with other Data Science team members. Responsibilities and Impact: Gen AI, NLP, LLM Model Development: Assist in the design and development of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements. Work closely with and under mentorship of other members of data science teams in the design, development, and implementation of the ML model sol

Position: Data Scientist Location: New York, NY Duration: Contract Required Skill: 8 to 10 years of experience in Data Engineering space with AWS as primary cloud experience.? Experience in conducting design reviews with Architects and Development Lead? Experience in AWS technologies and services like : AWS Lakeformation, AWS Glue Data Catalog, AWS EMR,S3, Athena, Lambda.? Data Engg Technologies like : HDFS, Hadoop, Spark, Hive, Airflow, Trino, Pyspark? Experience in Designing Ci CD pipelines using Terraform and Jenkins? Experience in front end technologies like Angular etc? Experience in Programming language like SQL and Python. Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diver

Description: Provide data analytics to the Mortgage, Consumer and Deposit lines of business, evaluating credit risk across the full lifecycle of our products. Primary focus areas include portfolio, scenario, and strategic analysis, portfolio acquisitions and divestitures, and ad-hoc Executive analytics. Other focus areas include marketing campaign response, evaluating success of strategic initiatives, account acquisition and management, delinquency and default, and overall portfolio asset quality. Utilize internal and external data to drive decision-making and identify opportunities. Monitor trends in the industry. Focus on getting the most out of data and exploring new areas of analysis. Responsibilities: You will be part of the decision and data science function: including contributing to the development of underwriting models, customer segmentation methodologies, marketing targeting, attribution and response models, as well as the evaluation of new data sources and performing advanc

A growing fin-tech firm is looking for a Data Scientist to join their team in New York, NY. Compensation: $160-200k Responsibilities: Develop, deploy, and maintain machine learning models in production environments Collaborate with cross-functional teams to ensure seamless integration of ML workflows Utilize and improve Machine Learning Operations (MLOps) pipelines and procedures Optimize data pipelines and model performance for scalability and efficiency Conduct exploratory data analysis and feature engineering to support ML initiatives Qualifications: Advanced degree (Master’s/PhD) in Data Science, Computer Science, Statistics, or a related field 4+ years of experience as a researcher or developer in data science or related fields Strong experience programming in common data science languages including Python, R, and/or Matlab Strong experience with machine learning frameworks and tools such as Tensorflow, Tesseract, PyTorch, and/or Keras Solid understanding of ML Ops practices, tool