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The ideal candidate will have a strong background in data science, modeling, Python, SQL, and experience with Nielsen or IRI data. Key Responsibilities:Oversee the design and execution of data science projects, including predictive modeling, machine learning, and statistical analysis.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Capital One is seeking a product owner to help deliver game-changing cybersecurity solutions based on threat, data, and design thinking.
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Integrating Databricks with other AWS products such as SNS, SQS, and MSK.What we are looking for: Bachelor's or master's degree in computer science, Information Technology, or a related field. Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem.
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Job DescriptionJob DescriptionLuminary Group is currently partnered with a leading life science company who are seeking a highly skilled and experienced Senior Data Scientist with expertise in Real World Evidence (RWE) to join their team.
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Partner with a whole range of teams within the Data organization (Analytics, Data Science, Data Engineering, Data Architecture, Data Quality & Governance, Program Management) to deliver high impact, efficient Data solutions.
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Qualifications and Requirements:Minimum masters with 3 to 5 years of work experience in public health policy, health data governance, health library science, epidemiology, health information technology or information management Knowledge and training in laws and regulations concerning health privacy, confidentiality, and data security standards.
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Has expert knowledge of standard data science and statistical techniquesHas expert knowledge of two of causal inference techniques, Gen AI (LLM) implementation, or contextual banditsExperience implementing scalable systems (Google Cloud preferred.
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However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
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Job DescriptionGen AI Solution Architect/Delivery Lead -DescriptionJob Title: Databricks Generative AI Solution Architect / Delivery LeadJob Location: Hybrid (preferred base cities: Atlanta, NYC, Chicago, NYC, Dallas, Houston, and Seattle)Job description: The AI Architect will leverage expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address complex business challenges.
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Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake)AI/ML models, Natural language process (NLP) and data mining experience Required Experience:Degree within Computer Science, Data Engineering, or a related field.
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A masters degree from an accredited college or university in one of the following areas of study: environmental or chemical engineering, limnology, environmental science, marine science, geology, biology, earth science, chemistry, physics, or health science; or 2.
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On the Data Science team, we're looking for someone who is comfortable working on a variety of ad auction and placement optimization problems, using experimentation to improve our ads systems, and helping to lead our team in balancing monetization and quality of experience considerations across our streaming service.
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What You Will Do:Support the compensation team in the administration of professional staff, case assistant, paralegal, Science Advisor, and attorney increase and bonus processes. Play key role in ensuring data integrity of compensation information in the Workday HRIS and other compensation systems, e.g. auditing information related to salary, FLSA, titles; frameworks, salary ranges, job profiles.
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data science incentive compensation jobs Company: Morgan Stanley in New York, Amarillo, Texas
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