Top Data & Analytics Jobs
The Director of Data Sciences at Epic Sciences will provide leadership and expertise in computational biology and cancer biology. They will collaborate with various teams to develop cancer diagnostic tests and engage in strategic planning to enhance effectiveness. This role involves significant communication and leadership skills to manage external partnerships and drive projects to completion.
The Staff Data Scientist will analyze multiomic and single-cell data, develop machine learning models, and apply advanced image processing techniques to aid research at Element Biosciences. The role includes collaborating with teams, exploring large datasets for insights, and communicating findings to stakeholders.
Apixio is seeking a Business Analyst to gather business requirements, analyze data, and communicate insights using business intelligence tools. The role requires a Bachelor's degree in a relevant field and 1-3 years of hands-on experience in business intelligence and analytics, with technical knowledge of BI techniques and tools like Tableau or Looker.
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As an Analytics Engineering lead within the Ads Data Science team at Reddit, you will develop robust data pipelines and user-friendly tools, ensuring data quality and reliability for effective data analysis. You'll mentor data analysts and collaborate with different teams to foster a data-driven culture focusing on automation and self-service data access.
The Manager of Applied AI and Data Sciences oversees the development and management of AI tools and data sciences projects, collaborates with technology and business teams, evaluates and selects AI solutions, and provides ongoing support while leading strategic initiatives and mentoring staff.
As a Data Engineer, you will modernize and maintain backend manufacturing data architecture, develop ETL pipelines, manage databases, and ensure data integrity while collaborating with teams to deliver insights and efficiencies.
Hiring Basketball Data Scientists to develop machine learning and statistical models for sports betting products. Responsibilities include model development, feature set creation, model performance improvement, and collaboration with teams. Requires a Master's degree, expertise in Probability Theory and Machine Learning, and experience in SQL, Python, and AWS.
The Head of Data Science & Analytics will lead the data science team, manage strategic projects, develop innovative solutions, and collaborate with cross-functional teams to optimize processes and enhance products and services using data-driven strategies.
As a Senior Data Engineer at Flex, you will design and maintain high-quality data infrastructure services, create scalable data pipelines, manage a secure data warehouse, and collaborate closely with the Analytics team. Your role will involve enhancing data operations and supporting financial products with modern data solutions.
The Principal Data Architect at SpyCloud will modernize data pipelines, optimize costs for large-scale data operations, and design robust streaming architectures using AWS technologies. The role involves leadership in architectural practices, documentation, mentorship of junior engineers, and collaboration with Product Management to align data strategies with company goals.
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