Data Scientist Salary at Datamites BETA

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

About the job Data Scientist Data Science is at the core of Online's business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are. We will be happy if you join our work So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! Location This role will be based in the United States (Remote).

Job Description Job Title: Senior Data Scientist Job Summary We are seeking a highly skilled and motivated Senior Data Scientist to join our team within the insurance industry. You will analyze complex data, develop and apply statistical and machine learning models, and generate actionable insights to support data-driven decision-making. The ideal candidate will have a strong foundation in mathematics, statistics, and machine learning, along with proficiency in Python, NLP, Generative AI, and large language models (LLMs). Prior experience in the financial industry is preferred. Responsibilities Analyze complex datasets using statistical and machine learning models to drive actionable insights. Utilize Python for data analysis, visualization, API integrations, and work with Linux OS, databases, big data technologies (e.g., Databricks, Spark), and cloud services. Develop solutions for natural language processing (NLP) and generative AI applications. Collaborate with cross-functional team

Description We're is looking for a talented and analytical Data Scientist to join our team and drive data-driven insights and solutions. In this role, you will be responsible for performing exploratory data analysis, developing and deploying predictive models, and leveraging advanced analytics techniques to uncover valuable insights and support data-driven decision-making across the organization. Key job responsibilities Collaborate with our applied and data scientists to build robust and scalable Generative AI solutions for business problems Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs Work hands on to build scalable cloud environment for our customers to label data, build, train, tune and deploy their models Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem Analyze and extract relevant information from large amounts of historical d

Captions is the leading video AI company, building the future of video creation. Over 10 million creators and businesses have used Captions to create videos for social media, marketing, sales, and more. We're on a mission to serve the next billion. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. You'll join an early team and have an outsized impact on the product and the company's culture. We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures (Series C lead), Kleiner Perkins (Series B lead), Sequoia Capital (Series A and Seed co-lead), Andreessen Horowitz (Series A and Seed co-lead), Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Check out our latest financing milestone and some other coverage: The Information: 50 M

Data Scientist We are building a world class systematic data platform which will power the next generation of our systematic portfolio engines. The systematic data group is looking for a Data Scientist to join our growing team. The team consists of content specialists, data scientists, analysts and engineers who are responsible for discovering, maintaining and analyzing sources of alpha for our portfolio managers. This is an opportunity for individuals who are passionate about quantitative investing. The role builds on individual’s knowledge and skills in four key areas of quantitative investing: data, statistics, technology and financial markets. Principal Responsibilities Research potential alpha sources, and present to portfolio managers and quantitative analysts Utilize and maintain world-class data processing and transformation engines Build technology tools to acquire and tag datasets Engage with vendors, brokers to understand characteristics of datasets Interact with portfolio m

Senior Data Scientist - Gambling Industry Location: Remote US Salary: $130,000 - $160,000 About the Opportunity: Harnham is working with an innovative company in the gambling industry seeking a Senior Data Scientist to join their expanding analytics team. This is a fantastic opportunity for someone who thrives in a data-driven environment and wants to make a measurable impact on business performance. The Role: As a Senior Data Scientist, you will utilize your expertise in Python, SQL, and data visualization to develop predictive models, build insightful dashboards, and drive strategic decision-making. Your work will be instrumental in analyzing player behavior, enhancing customer engagement, and optimizing revenue growth. Key Responsibilities: Develop and implement predictive and data models to address complex business challenges. Build interactive dashboards using leading visualization tools (e.g., Tableau, Power BI, Looker). Conduct data analysis and modeling using Python and SQL to

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