Senior Data Scientist Salary at Upstart Network Inc BETA

Senior Data Scientist – A/B Testing Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal. Role Overview: We are looking for an experienced Senior Data Scientist within the technology sector. In this role, you will be responsible for developing hypotheses, designing, and executing experimental methods, and de

We are seeking an experienced Senior Data Scientist to join our dynamic team. The ideal candidate will bring a deep understanding of statistical modeling, machine learning, and data engineering, and will apply these skills to solve complex business problems and drive strategic decision-making. Required Qualifications: Bachelor’s degree in Computer Science or a Master’s degree (or higher) in Data Science, Information Systems, Computer Science, or a closely related field. A PhD is preferred. At least 7 years of hands-on experience in machine learning, deep learning, and predictive modeling in a commercial setting. Prior experience with ML is required. Proficiency in Python programming is required. Deep understanding of Natural Language Understanding (NLU), Computer Vision, Statistical Modeling, Data Visualization, and advanced Data Science methodologies. Experience in extracting insights from text data, including handling non-language tokens. Capable of performing thorough error analysis

We are seeking an experienced Senior Data Scientist to join our dynamic team. The ideal candidate will bring a deep understanding of statistical modeling, machine learning, and data engineering, and will apply these skills to solve complex business problems and drive strategic decision-making. Required Qualifications: Bachelor’s degree in Computer Science or a Master’s degree (or higher) in Data Science, Information Systems, Computer Science, or a closely related field. A PhD is preferred. At least 7 years of hands-on experience in machine learning, deep learning, and predictive modeling in a commercial setting. Prior experience with ML is required. Proficiency in Python programming is required. Deep understanding of Natural Language Understanding (NLU), Computer Vision, Statistical Modeling, Data Visualization, and advanced Data Science methodologies. Experience in extracting insights from text data, including handling non-language tokens. Capable of performing thorough error analysis

We are seeking an experienced Senior Data Scientist to join our dynamic team. The ideal candidate will bring a deep understanding of statistical modeling, machine learning, and data engineering, and will apply these skills to solve complex business problems and drive strategic decision-making. Required Qualifications: Bachelor’s degree in Computer Science or a Master’s degree (or higher) in Data Science, Information Systems, Computer Science, or a closely related field. A PhD is preferred. At least 7 years of hands-on experience in machine learning, deep learning, and predictive modeling in a commercial setting. Prior experience with ML is required. Proficiency in Python programming is required. Deep understanding of Natural Language Understanding (NLU), Computer Vision, Statistical Modeling, Data Visualization, and advanced Data Science methodologies. Experience in extracting insights from text data, including handling non-language tokens. Capable of performing thorough error analysis

We are seeking an experienced Senior Data Scientist to join our dynamic team. The ideal candidate will bring a deep understanding of statistical modeling, machine learning, and data engineering, and will apply these skills to solve complex business problems and drive strategic decision-making. Required Qualifications: Bachelor’s degree in Computer Science or a Master’s degree (or higher) in Data Science, Information Systems, Computer Science, or a closely related field. A PhD is preferred. At least 7 years of hands-on experience in machine learning, deep learning, and predictive modeling in a commercial setting. Prior experience with ML is required. Proficiency in Python programming is required. Deep understanding of Natural Language Understanding (NLU), Computer Vision, Statistical Modeling, Data Visualization, and advanced Data Science methodologies. Experience in extracting insights from text data, including handling non-language tokens. Capable of performing thorough error analysis

We are seeking an experienced Senior Data Scientist to join our dynamic team. The ideal candidate will bring a deep understanding of statistical modeling, machine learning, and data engineering, and will apply these skills to solve complex business problems and drive strategic decision-making. Required Qualifications: Bachelor’s degree in Computer Science or a Master’s degree (or higher) in Data Science, Information Systems, Computer Science, or a closely related field. A PhD is preferred. At least 7 years of hands-on experience in machine learning, deep learning, and predictive modeling in a commercial setting. Prior experience with ML is required. Proficiency in Python programming is required. Deep understanding of Natural Language Understanding (NLU), Computer Vision, Statistical Modeling, Data Visualization, and advanced Data Science methodologies. Experience in extracting insights from text data, including handling non-language tokens. Capable of performing thorough error analysis

We are seeking an experienced Senior Data Scientist to join our dynamic team. The ideal candidate will bring a deep understanding of statistical modeling, machine learning, and data engineering, and will apply these skills to solve complex business problems and drive strategic decision-making. Required Qualifications: Bachelor’s degree in Computer Science or a Master’s degree (or higher) in Data Science, Information Systems, Computer Science, or a closely related field. A PhD is preferred. At least 7 years of hands-on experience in machine learning, deep learning, and predictive modeling in a commercial setting. Prior experience with ML is required. Proficiency in Python programming is required. Deep understanding of Natural Language Understanding (NLU), Computer Vision, Statistical Modeling, Data Visualization, and advanced Data Science methodologies. Experience in extracting insights from text data, including handling non-language tokens. Capable of performing thorough error analysis

**Description** Role located onsite in Fremont, CA. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees. The Senior Data Scientist will execute data science projects at US Biopharma Fremont with the purpose of solving non-routine business problems by applying advanced methods including artificial intelligence, machine learning, causal inference, advanced st